Skip Navigation
Skip to contents

Cancer Res Treat : Cancer Research and Treatment

OPEN ACCESS

Search

Page Path
HOME > Search
25 "Lymphocyte"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Breast cancer
Changes in Invasive Breast Carcinomas after Neoadjuvant Chemotherapy Can Influence Adjuvant Therapeutic Decisions
Bárbara Jaime dos Santos, Débora Balabram, Virginia Mara Reis Gomes, Carolina Costa Café de Castro, Paulo Henrique Costa Diniz, Marcelo Araújo Buzelin, Cristiana Buzelin Nunes
Cancer Res Treat. 2024;56(1):178-190.   Published online August 1, 2023
DOI: https://doi.org/10.4143/crt.2023.386
AbstractAbstract PDFPubReaderePub
Purpose
Neoadjuvant chemotherapy (NACT) can change invasive breast carcinomas (IBC) and influence the patients’ overall survival time (OS). We aimed to identify IBC changes after NACT and their association with OS.
Materials and Methods
IBC data in pre- and post-NACT samples of 86 patients were evaluated and associated with OS.
Results
Post-NACT tumors changed nuclear pleomorphism score (p=0.025); mitotic count (p=0.002); % of tumor-infiltrating inflammatory cells (p=0.016); presence of in situ carcinoma (p=0.001) and lymphovascular invasion (LVI; p=0.002); expression of estrogen (p=0.003), progesterone receptors (PR; p=0.019), and Ki67 (p=0.003). Immunohistochemical (IHC) profile changed in 26 tumors (30.2%, p=0.050). Higher risk of death was significatively associated with initial tumor histological grade III (hazard ratio [HR], 2.94), high nuclear pleomorphism (HR, 2.53), high Ki67 index (HR, 2.47), post-NACT presence of LVI (HR, 1.90), luminal B–like profile (HR, 2.58), pre- (HR, 2.26) and post-NACT intermediate mitotic count (HR, 2.12), pre- (HR, 4.45) and post-NACT triple-negative IHC profile (HR, 4.52). On the other hand, lower risk of death was significative associated with pre- (HR, 0.35) and post-NACT (HR, 0.39) estrogen receptor–positive, and pre- (HR, 0.37) and post-NACT (HR, 0.57) PR-positive. Changes in IHC profile were associated with longer OS (p=0.050). In multivariate analysis, pre-NACT grade III tumors and pre-NACT and post-NACT triple negative IHC profile proved to be independent factors for shorter OS.
Conclusion
NACT can change tumor characteristics and biomarkers and impact on OS; therefore, they should be reassessed on residual samples to improve therapeutic decisions.
  • 3,246 View
  • 214 Download
Close layer
The Association of Estrogen Receptor Activity, Interferon Signaling, and MHC Class I Expression in Breast Cancer
In Hye Song, Young-Ae Kim, Sun-Hee Heo, Won Seon Bang, Hye Seon Park, Yeon ho Choi, Heejae Lee, Jeong-Han Seo, Youngjin Cho, Sung Wook Jung, Hee Jeong Kim, Sei Hyun Ahn, Hee Jin Lee, Gyungyub Gong
Cancer Res Treat. 2022;54(4):1111-1120.   Published online December 21, 2021
DOI: https://doi.org/10.4143/crt.2021.1017
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The expression of major histocompatibility complex class I (MHC I) has previously been reported to be negatively associated with estrogen receptor (ER) expression. Furthermore, MHC I expression, level of tumor-infiltrating lymphocytes (TILs), and expression of interferon (IFN) mediator MxA are positively associated with one another in human breast cancers. This study aimed to investigate the mechanisms of association of MHC I with ER and IFN signaling.
Materials and Methods
The human leukocyte antigen (HLA)-ABC protein expression was analyzed in breast cancer cell lines. The expressions of HLA-A and MxA mRNAs were analyzed in MCF-7 cells in Gene Expression Omnibus (GEO) data. ER and HLA-ABC expressions, Ki-67 labeling index and TIL levels in tumor tissue were also analyzed in ER+/ human epidermal growth factor receptor 2 (HER2)- breast cancer patients who randomly received either neoadjuvant chemotherapy or estrogen modulator treatment followed by resection.
Results
HLA-ABC protein expression was decreased after β-estradiol treatment or hESR-GFP transfection and increased after fulvestrant or IFN-γ treatment in cell lines. In GEO data, HLA-A and MxA expression was increased after ESR1 shRNA transfection. In patients, ER Allred score was significantly lower and the HLA-ABC expression, TIL levels, and Ki-67 were significantly higher in the estrogen modulator treated group than the chemotherapy treated group.
Conclusion
MHC I expression and TIL levels might be affected by ER pathway modulation and IFN treatment. Further studies elucidating the mechanism of MHC I regulation could suggest a way to boost TIL influx in cancer in a clinical setting.

Citations

Citations to this article as recorded by  
  • Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis
    Bernard Friedenson
    JMIRx Med.2025; 6: e50712.     CrossRef
  • Estrogen receptor regulation of the immune microenvironment in breast cancer
    Conor McGuinness, Kara L. Britt
    The Journal of Steroid Biochemistry and Molecular Biology.2024; 240: 106517.     CrossRef
  • Bioinformatic-Experimental Screening Uncovers Multiple Targets for Increase of MHC-I Expression through Activating the Interferon Response in Breast Cancer
    Xin Li, Zilun Ruan, Shuzhen Yang, Qing Yang, Jinpeng Li, Mingming Hu
    International Journal of Molecular Sciences.2024; 25(19): 10546.     CrossRef
  • Hormone Receptor Signaling and Breast Cancer Resistance to Anti-Tumor Immunity
    Alexandra Moisand, Mathilde Madéry, Thomas Boyer, Charlotte Domblides, Céline Blaye, Nicolas Larmonier
    International Journal of Molecular Sciences.2023; 24(20): 15048.     CrossRef
  • 6,602 View
  • 175 Download
  • 3 Web of Science
  • 4 Crossref
Close layer
Lung and Thoracic cancer
The Role of Neutrophil-to-Lymphocyte Ratio in Predicting Pathological Response for Resectable Non–Small Cell Lung Cancer Treated with Neoadjuvant Chemotherapy Combined with PD-1 Checkpoint Inhibitors
Xiaoyan Sun, Yingnan Feng, Bin Zhang, Wuhao Huang, Xiaoliang Zhao, Hua Zhang, Dongsheng Yue, Changli Wang
Cancer Res Treat. 2022;54(4):1017-1029.   Published online November 23, 2021
DOI: https://doi.org/10.4143/crt.2021.1007
AbstractAbstract PDFPubReaderePub
Purpose
The aim of our study was to investigate the value of baseline and preoperative neutrophil-to-lymphocyte ratio (NLR) in predicting the pathological response and disease-free survival (DFS) of neoadjuvant chemotherapy alone or combined with programmed cell death-1 (PD-1) checkpoint inhibitors in patients with resectable non‒small cell lung cancer (NSCLC).
Materials and Methods
Resectable NSCLC patients who underwent neoadjuvant chemotherapy alone or combined with PD-1 checkpoint inhibitors between January 2018 and January 2020 were included. Peripheral venous blood samples of the patients were collected within 3 days prior to the first neoadjuvant treatment and within 3 days prior to surgery.
Results
A total of 79 patients in neoadjuvant chemotherapy combined with PD-1 checkpoint inhibitors group and 89 patients in neoadjuvant chemotherapy alone group were included. Thirty-five point four percent of the patients achieved pathological complete response (pCR) in neoadjuvant chemotherapy combined with PD-1 checkpoint inhibitors group, whereas only 9.0% reached pCR in the group of neoadjuvant chemotherapy. High NLR level were correlated with poor pathological response and DFS in neoadjuvant chemotherapy or combined with PD-1 checkpoint inhibitors group. Multivariate analysis revealed that baseline NLR could independently predict pathological response and DFS in the neoadjuvant chemotherapy combined with PD-1 checkpoint inhibitors group.
Conclusion
High NLR level were correlated with poor pathological response and shorter DFS in patients with NSCLC undergoing neoadjuvant chemotherapy or combined with PD-1 checkpoint inhibitors. Meanwhile, baseline NLR could independently predict response to pathological response and DFS, revealing its potential as a screening tool in NSCLC patients who received neoadjuvant chemotherapy combined with PD-1 checkpoint inhibitors.

Citations

Citations to this article as recorded by  
  • Circulating biomarkers as predictors of response to immune checkpoint inhibitors in NSCLC: Are we on the right path?
    Calogera Claudia Spagnolo, Francesco Pepe, Giuliana Ciappina, Francesco Nucera, Paolo Ruggeri, Andrea Squeri, Desirèe Speranza, Nicola Silvestris, Umberto Malapelle, Mariacarmela Santarpia
    Critical Reviews in Oncology/Hematology.2024; 197: 104332.     CrossRef
  • Easily applicable predictive score for MPR based on parameters before neoadjuvant chemoimmunotherapy in operable NSCLC: a single-center, ambispective, observational study
    Mingming Hu, Xiaomi Li, Haifeng Lin, Baohua Lu, Qunhui Wang, Li Tong, Hongxia Li, Nanying Che, Shaojun Hung, Yi Han, Kang Shi, Chenghai Li, Hongmei Zhang, Zhidong Liu, Tongmei Zhang
    International Journal of Surgery.2024; 110(4): 2275.     CrossRef
  • Dynamics of peripheral blood inflammatory index predict tumor pathological response and survival among patients with locally advanced non-small cell lung cancer who underwent neoadjuvant immunochemotherapy: a multi-cohort retrospective study
    Wenyu Zhai, Chao Zhang, Fangfang Duan, Jingdun Xie, Shuqin Dai, Yaobin Lin, Qihang Yan, Bingyu Rao, Liang Li, Yuheng Zhou, Zerui Zhao, Hao Long, Junye Wang
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Predicting Pathologic Complete Response in Locally Advanced Rectal Cancer with [68Ga]Ga-FAPI-04 PET, [18F]FDG PET, and Contrast-Enhanced MRI: Lesion-to-Lesion Comparison with Pathology
    Xiao Zhang, Zhenyu Lin, Yuan Feng, Zhaoguo Lin, Kaixiong Tao, Tao Zhang, Xiaoli Lan
    Journal of Nuclear Medicine.2024; 65(10): 1548.     CrossRef
  • Radiomics nomogram combined with clinical factors for predicting pathological complete response in resectable esophageal squamous cell carcinoma
    Zihao Lu, Yongsen Li, Wenxuan Hu, Yonghao Cao, Xin Lv, Xinyu Jia, Shiyu Shen, Jun Zhao, Chun Xu
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Explainable Machine Learning Predictions for the Benefit From Chemotherapy in Advanced Non‐Small Cell Lung Cancer Without Available Targeted Mutations
    Zhao Shuang, Xiong Xingyu, Cheng Yue, Yu Mingjing
    The Clinical Respiratory Journal.2024;[Epub]     CrossRef
  • Mean platelet volume/platelet count ratio in combination with tumor markers in colorectal cancer: a retrospective clinical study
    Huan Zhang, Fan Lin, Zhuocai Wang
    BMC Cancer.2023;[Epub]     CrossRef
  • Development and validation of a radiomics-based nomogram for predicting a major pathological response to neoadjuvant immunochemotherapy for patients with potentially resectable non-small cell lung cancer
    Chaoyuan Liu, Wei Zhao, Junpeng Xie, Huashan Lin, Xingsheng Hu, Chang Li, Youlan Shang, Yapeng Wang, Yingjia Jiang, Mengge Ding, Muyun Peng, Tian Xu, Ao’ran Hu, Yuda Huang, Yuan Gao, Xianling Liu, Jun Liu, Fang Ma
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Prognostic role of preoperative inflammatory markers in postoperative patients with colorectal cancer
    Zilong Xiao, Xinxin Wang, Xiaoxiao Chen, Jiawei Zhou, Haitao Zhu, Jiangnan Zhang, Wensheng Deng
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Pan-Immune-Inflammatory Value in Patients with Non-Small-Cell Lung Cancer Undergoing Neoadjuvant Immunochemotherapy
    Wen-Yu Zhai, Fang-Fang Duan, Yao-Bin Lin, Yong-Bin Lin, Ze-Rui Zhao, Jun-Ye Wang, Bing-Yu Rao, Lie Zheng, Hao Long
    Journal of Inflammation Research.2023; Volume 16: 3329.     CrossRef
  • The predictive value of 18F-FDG PET/CT combined with inflammatory index for major pathological reactions in resectable NSCLC receiving neoadjuvant immunochemotherapy
    Xiaoqin Yin, Jian Li, Bei Chen, Kehuang Liu, Shuo Hu
    Lung Cancer.2023; 186: 107389.     CrossRef
  • Efficacy, safety, and survival of neoadjuvant immunochemotherapy in operable non-small cell lung cancer: a systematic review and meta-analysis
    Yue Zheng, Baijie Feng, Jingyao Chen, Liting You
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Emerging Blood-Based Biomarkers for Predicting Immunotherapy Response in NSCLC
    Ana Oitabén, Pablo Fonseca, María J. Villanueva, Carme García-Benito, Aida López-López, Alberto Garrido-Fernández, Clara González-Ojea, Laura Juaneda-Magdalena, Martín E. Lázaro, Mónica Martínez-Fernández
    Cancers.2022; 14(11): 2626.     CrossRef
  • 5,505 View
  • 220 Download
  • 12 Web of Science
  • 13 Crossref
Close layer
Pediatric cancer
Chronological Analysis of Acute Hematological Outcomes after Proton and Photon Beam Craniospinal Irradiation in Pediatric Brain Tumors
Gyu Sang Yoo, Jeong Il Yu, Sungkoo Cho, Youngyih Han, Yoonjin Oh, Do Hoon Lim, Hee Rim Nam, Ji-Won Lee, Ki-Woong Sung, Hyung Jin Shin
Cancer Res Treat. 2022;54(3):907-916.   Published online October 15, 2021
DOI: https://doi.org/10.4143/crt.2021.332
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
This study aimed to compare the early hematological dynamics and acute toxicities between proton beam craniospinal irradiation (PrCSI) and photon beam craniospinal irradiation (PhCSI) for pediatric brain tumors.
Materials and Methods
We retrospectively reviewed patients with pediatric brain tumors who received craniospinal irradiation (CSI). The average change in hemoglobin levels (ΔHbavg), absolute lymphocyte counts (ΔALCavg), and platelet counts (ΔPLTavg) from baseline values was evaluated and compared between the PrCSI and PhCSI groups at 1 and 2 weeks after the initiation of CSI, 1 week before and at the end of radiotherapy, and 3-4 weeks after the completion of radiotherapy using t test and mixed-model analysis.
Results
The PrCSI and PhCSI groups consisted of 36 and 30 patients, respectively. There were no significant differences in ΔHbavg between the two groups at any timepoint. However, ΔALCavg and ΔPLTavg were significantly lower in the PhCSI group than in PrCSI group at every timepoint, demonstrating that PrCSI resulted in a significantly lower rate of decline and better recovery of absolute lymphocyte and platelet counts. The rate of grade 3 acute anemia was significantly lower in the PrCSI group than in in the PhCSI group.
Conclusion
PrCSI showed a lower rate of decline and better recovery of absolute lymphocyte and platelet counts than PhCSI in the CSI for pediatric brain tumors. Grade 3 acute anemia was significantly less frequent in the PrCSI group than in the PhCSI group. Further large-scale studies are warranted to confirm these results.

Citations

Citations to this article as recorded by  
  • Long-term effects of local radiotherapy on growth and vertebral features in children with high-risk neuroblastoma
    Kyungmi Yang, Joong Hyun Ahn, Sook-Young Woo, Sang Hoon Jung, Ki Woong Sung, Ji Won Lee, Do Hoon Lim
    BMC Pediatrics.2024;[Epub]     CrossRef
  • Comparison of Craniospinal Irradiation Using Proton Beams According to Irradiation Method and Initial Experience Treating Pediatric Patients
    Nobuyoshi Fukumitsu, Hikaru Kubota, Masayuki Mima, Yusuke Demizu, Takeshi Suzuki, Daiichiro Hasegawa, Yoshiyuki Kosaka, Atsufumi Kawamura, Toshinori Soejima
    Advances in Radiation Oncology.2023; 8(5): 101251.     CrossRef
  • Proton versus photon radiation therapy: A clinical review
    Zhe Chen, Michael M. Dominello, Michael C. Joiner, Jay W. Burmeister
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Shifting Strategies in the Treatment of Pediatric Craniopharyngioma
    Segev Gabay, Thomas E. Merchant, Frederick A. Boop, Jonathan Roth, Shlomi Constantini
    Current Oncology Reports.2023; 25(12): 1497.     CrossRef
  • 5,899 View
  • 136 Download
  • 5 Web of Science
  • 4 Crossref
Close layer
General
Role of Interleukin-7 in the Development of and Recovery from Radiation-Induced Lymphopenia: A Post-hoc Analysis of a Prospective Cohort
Hwa Kyung Byun, Seung Yeun Chung, Kyoung-Jin Kim, Jinsil Seong
Cancer Res Treat. 2021;53(4):962-972.   Published online January 26, 2021
DOI: https://doi.org/10.4143/crt.2020.1053
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Radiation-induced lymphopenia is associated with worse outcomes in solid tumors. We assessed the impact of interleukin-7 (IL-7), a key cytokine in lymphocyte homeostasis, on radiation-induced lymphopenia.
Materials and Methods
A post-hoc analysis was performed in a prospective cohort of 98 patients with hepatocellular carcinoma who were treated with radiotherapy in 2016-2018. Blood IL-7 levels were assayed before and at the end of radiotherapy. Acute severe lymphopenia (ASL) was defined as a total lymphocyte count of < 200/μL during radiotherapy. Cox and logistic regression analyses were performed to identify predictors of survival and ASL development, respectively.
Results
Patients with ASL (n=41) had significantly poorer overall survival than those without (12.0 months vs. 25.3 months, p=0.001). Patients with lymphocyte recovery showed significantly longer overall survival than those without (21.8 months vs. 10.3 months, p=0.042). ASL was an independent predictor of poor survival (hazard ratio, 2.07; p=0.015). Patients with ASL had significantly lower pre-radiotherapy IL-7 levels (2.07 pg/mL vs. 3.01 pg/mL, p=0.010). A high pre-radiotherapy IL-7 level was an independent predictor of a reduced risk of ASL development (hazard ratio, 0.40; p=0.004). IL-7 levels reflected a feedback response to ASL, with a higher ΔIL-7 in patients with ASL and a lower ΔIL-7 in those without ASL (0.48 pg/mL vs. –0.66 pg/mL, p < 0.001). Post-radiotherapy IL-7 levels were significantly positively correlated with the total lymphocyte counts at 2 months.
Conclusion
IL-7 is associated with the development of and recovery from ASL, which may impact survival. To overcome radiation-induced lymphopenia, a novel strategy using IL-7 may be considered.

Citations

Citations to this article as recorded by  
  • Radiation Therapy and Myeloid-Derived Suppressor Cells: Breaking Down Their Cancerous Partnership
    Kyra M. Boorsma Bergerud, Matthew Berkseth, Drew M. Pardoll, Sudipto Ganguly, Lawrence R. Kleinberg, Jessica Lawrence, David J. Odde, David A. Largaespada, Stephanie A. Terezakis, Lindsey Sloan
    International Journal of Radiation Oncology*Biology*Physics.2024; 119(1): 42.     CrossRef
  • The need for paradigm shift: prognostic significance and implications of standard therapy-related systemic immunosuppression in glioblastoma for immunotherapy and oncolytic virotherapy
    Aleksei A. Stepanenko, Anastasiia O. Sosnovtseva, Marat P. Valikhov, Anastasia A. Chernysheva, Olga V. Abramova, Victor A. Naumenko, Vladimir P. Chekhonin
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Prognostic value of lymphocytes in patients with breast cancer receiving radiotherapy after breast-conserving surgery: A post hoc analysis of a phase III randomized trial
    Yu-Chun Song, Si-Ye Chen, Xu-Ran Zhao, Hao Jing, Hui Fang, Yu Tang, Shang-Ying Hu, Yong-Wen Song, Jing Jin, Yue-Ping Liu, Shu-Nan Qi, Guang-Yi Sun, Qiu-Zi Zhong, Xiang-Hui Du, Juan Liu, Ye-Xiong Li, Shu-Lian Wang
    Radiotherapy and Oncology.2024; 199: 110390.     CrossRef
  • The Role of PD-1/PD-L1 and IL-7 in Lymphocyte Dynamics and Sepsis Progression: A Biomarker Study in Critically Ill Patients
    Oana Coman, Bianca-Liana Grigorescu, Adina Huțanu, Anca Bacârea, Anca Meda Văsieșiu, Raluca Ștefania Fodor, Marius Petrișor, Leonard Azamfirei
    International Journal of Molecular Sciences.2024; 25(23): 12612.     CrossRef
  • Prognostic value of lymphocyte subset levels in hepatocellular carcinoma following conventionally fractionated vs. stereotactic body radiotherapy
    Si-Tong Wang, Yi-Xing Chen, Yu-Nan Gao, Ping Yang, Qian-Qian Zhao, Zhao-Chong Zeng, Yuan Zhuang
    Hepatoma Research.2024;[Epub]     CrossRef
  • Compassionate use of recombinant human IL‐7‐hyFc as a salvage treatment for restoring lymphopenia in patients with recurrent glioblastoma
    Stephen Ahn, Jae‐Sung Park, Heewon Kim, Minkyu Heo, Young Chul Sung, Sin‐Soo Jeun
    Cancer Medicine.2023; 12(6): 6778.     CrossRef
  • 5,326 View
  • 132 Download
  • 6 Web of Science
  • 6 Crossref
Close layer
Gastrointestinal Cancer
LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer
Jeonghyun Kang, Yoon Jung Choi, Im-kyung Kim, Hye Sun Lee, Hogeun Kim, Seung Hyuk Baik, Nam Kyu Kim, Kang Young Lee
Cancer Res Treat. 2021;53(3):773-783.   Published online December 29, 2020
DOI: https://doi.org/10.4143/crt.2020.974
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning–based approach has not been widely studied.
Materials and Methods
Immunohistochemistry for TILs against CD3, CD8, and forkhead box P3 in both center and invasive margin of the tumor were performed using surgically resected T1 CRC slides. Three hundred and sixteen patients were enrolled and categorized into training (n=221) and validation (n=95) sets via random sampling. Using clinicopathologic variables including TILs, the least absolute shrinkage and selection operator (LASSO) regression model was applied for variable selection and predictive signature building in the training set. The predictive accuracy of our model and the Japanese criteria were compared using area under the receiver operating characteristic (AUROC), net reclassification improvement (NRI)/integrated discrimination improvement (IDI), and decision curve analysis (DCA) in the validation set.
Results
LNM was detected in 29 (13.1%) and 12 (12.6%) patients in training and validation sets, respectively. Nine variables were selected and used to generate the LASSO model. Its performance was similar in training and validation sets (AUROC, 0.795 vs. 0.765; p=0.747). In the validation set, the LASSO model showed better outcomes in predicting LNM than Japanese criteria, as measured by AUROC (0.765 vs. 0.518, p=0.003) and NRI (0.447, p=0.039)/IDI (0.121, p=0.034). DCA showed positive net benefits in using our model.
Conclusion
Our LASSO model incorporating histopathologic parameters and TILs showed superior performance compared to conventional Japanese criteria in predicting LNM in patients with T1 CRC.

Citations

Citations to this article as recorded by  
  • A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions
    Xingjian Xiao, Xiaohan Yi, Nyi Nyi Soe, Phyu Mon Latt, Luotao Lin, Xuefen Chen, Hualing Song, Bo Sun, Hailei Zhao, Xianglong Xu
    Annals of Epidemiology.2025; 101: 27.     CrossRef
  • Risk stratification scores for lymph node metastases in T1 colorectal cancer—A systematic review
    Rakesh Quinn, Giuleta Jamsari, Ewan MacDermid
    Colorectal Disease.2025;[Epub]     CrossRef
  • Artificial Intelligence in Lymph Node Metastasis Prediction for T1 Colorectal Cancer: Promise and Challenges
    Jung Ho Bae
    Gut and Liver.2025; 19(1): 3.     CrossRef
  • Utilizing Ensemble Learning and Dimension Reduction in Predicting Stock Prices: A Transparent Methodology with Insights from Explainable AI
    Nabanita Das, Bikash Sadhukhan, Chayan Ghosh, Avigyan Chowdhury, Satyajit Chakrabarti
    SN Computer Science.2025;[Epub]     CrossRef
  • Bioinformatics approach reveals the critical role of inflammation-related genes in age-related hearing loss
    Xi Gu, Chenyu Chen, Yuqing Chen, Chaojun Zeng, Yanchun Lin, Ruosi Guo, Shujin Xu, Chang Lin
    Scientific Reports.2025;[Epub]     CrossRef
  • Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.)
    Zhu Yang, Wenjie Kan, Ziqi Wang, Caiguo Tang, Yuan Cheng, Dacheng Wang, Yameng Gao, Lifang Wu
    Frontiers in Plant Science.2025;[Epub]     CrossRef
  • Following intravenous thrombolysis, the outcome of diabetes mellitus associated with acute ischemic stroke was predicted via machine learning
    Xiaoqing Liu, Miaoran Wang, Rui Wen, Haoyue Zhu, Ying Xiao, Qian He, Yangdi Shi, Zhe Hong, Bing Xu
    Frontiers in Pharmacology.2025;[Epub]     CrossRef
  • An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs)
    Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu
    BMC Cancer.2025;[Epub]     CrossRef
  • Additional staining for lymphovascular invasion is associated with increased estimation of lymph node metastasis in patients with T1 colorectal cancer: Systematic review and meta‐analysis
    Jun Watanabe, Katsuro Ichimasa, Yuki Kataoka, Atsushi Miki, Hidehiro Someko, Munenori Honda, Makiko Tahara, Takeshi Yamashina, Khay Guan Yeoh, Shigeo Kawai, Kazuhiko Kotani, Naohiro Sata
    Digestive Endoscopy.2024; 36(5): 533.     CrossRef
  • Risk assessment in pT1 colorectal cancer
    Emma Jane Norton, Adrian C Bateman
    Journal of Clinical Pathology.2024; 77(4): 225.     CrossRef
  • Identification and Analysis of Immune Microenvironment-Related Genes for Keloid Risk Prediction and Their Effects on Keloid Proliferation and Migration
    Yongyan Pei, Yikai Wu, Mengqi Zhang, Xuemin Su, Hua Cao, Jiaji Zhao
    Biochemical Genetics.2024; 62(4): 3174.     CrossRef
  • Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia
    Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai, Chan Zhang
    BMC Medical Informatics and Decision Making.2024;[Epub]     CrossRef
  • Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review
    Jiaqing Yang, Jing Huang, Deqian Han, Xuelei Ma
    Clinical Medicine Insights: Oncology.2024;[Epub]     CrossRef
  • Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture
    Yukun Mao, Xueying Hou, Su Fu, Jie Luan
    Genes & Diseases.2024; 11(3): 101087.     CrossRef
  • Bioinformatics and Machine Learning Methods Identified MGST1 and QPCT as Novel Biomarkers for Severe Acute Pancreatitis
    Yang Sun, Jingjun Xie, Jun Zhu, Yadong Yuan
    Molecular Biotechnology.2024; 66(5): 1246.     CrossRef
  • Multi-omics reveals the role of ENO1 in bladder cancer and constructs an epithelial-related prognostic model to predict prognosis and efficacy
    Zhixiong Su, Lijie You, Yufang He, Jingbo Chen, Guifeng Zhang, Zhenhua Liu
    Scientific Reports.2024;[Epub]     CrossRef
  • Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?
    James Weiquan Li, Lai Mun Wang, Katsuro Ichimasa, Kenneth Weicong Lin, James Chi-Yong Ngu, Tiing Leong Ang
    Clinical Endoscopy.2024; 57(1): 24.     CrossRef
  • SLCO4A1, as a novel prognostic biomarker of non‑small cell lung cancer, promotes cell proliferation and migration
    Shihao Li, Zihao Li, Lan Huang, Zhenyang Geng, Feng Li, Bin Wu, Yinliang Sheng, Yifan Xu, Bowen Li, Yiming Xu, Zhuoyu Gu, Yu Qi
    International Journal of Oncology.2024;[Epub]     CrossRef
  • Overexpression of circulating CD38+ NK cells in colorectal cancer was associated with lymph node metastasis and poor prognosis
    Xueling Wang, Haoran Li, Huixian Chen, Kehua Fang, Xiaotian Chang
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Management after non-curative endoscopic resection of T1 rectal cancer
    Hao Dang, Daan A. Verhoeven, Jurjen J. Boonstra, Monique E. van Leerdam
    Best Practice & Research Clinical Gastroenterology.2024; 68: 101895.     CrossRef
  • Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Artificial Intelligence with Hematoxylin and Eosin-Stained Whole-Slide-Images of Endoscopic and Surgical Resection Specimens
    Joo Hye Song, Eun Ran Kim, Yiyu Hong, Insuk Sohn, Soomin Ahn, Seok-Hyung Kim, Kee-Taek Jang
    Cancers.2024; 16(10): 1900.     CrossRef
  • Identification of immune characteristic biomarkers and therapeutic targets in cuproptosis for sepsis by integrated bioinformatics analysis and single-cell RNA sequencing analysis
    Tianfeng Wang, Xiaowei Fang, Ximei Sheng, Meng Li, Yulin Mei, Qing Mei, Aijun Pan
    Heliyon.2024; 10(5): e27379.     CrossRef
  • Possibilities and prospects of artificial intelligence in the treatment of colorectal cancer (review)
    A. Yu. Kravchenko, E. V. Semina, V. V. Kakotkin, M. A. Agapov
    Koloproktologia.2024; 23(2): 184.     CrossRef
  • A risk prediction nomogram for resistant hypertension in patients with obstructive sleep apnea
    Hongze Lin, Chen Zhou, Jiaying Li, Xiuqin Ma, Yan Yang, Taofeng Zhu
    Scientific Reports.2024;[Epub]     CrossRef
  • Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)
    Liqing Yu, Zhenjun Huang, Ziqi Xiao, Xiaofu Tang, Ziqiang Zeng, Xiaoli Tang, Wenhao Ouyang
    Oncology Reports.2024;[Epub]     CrossRef
  • Exploration of the molecular biological mechanisms and review of postoperative radiotherapy cases in tenosynovial giant cell tumors
    Tianwei Zhang, Bin Zeng, Ke Liu, Qin Zeng, Na Wang, Ling Peng, Hongbo Qiu, Xiaomei Chen, Lin Wang
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening
    Hande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal, Esat Kaba
    Japanese Journal of Radiology.2024; 42(8): 872.     CrossRef
  • Potential Mechanism of Tibetan Medicine Liuwei Muxiang Pills against Colorectal Cancer: Network Pharmacology and Bioinformatics Analyses
    Shaochong Qi, Xinyu Liang, Zijing Wang, Haoran Jin, Liqun Zou, Jinlin Yang
    Pharmaceuticals.2024; 17(4): 429.     CrossRef
  • A new clinical model for predicting lymph node metastasis in T1 colorectal cancer
    Kai Wang, Hui He, Yanyun Lin, Yanhong Zhang, Junguo Chen, Jiancong Hu, Xiaosheng He
    International Journal of Colorectal Disease.2024;[Epub]     CrossRef
  • Comprehensive analysis of the interaction of antigen presentation during anti‐tumour immunity and establishment of AIDPS systems in ovarian cancer
    Wenhuizi Sun, Ping Xu, Kefei Gao, Wenqin Lian, Xiang Sun
    Journal of Cellular and Molecular Medicine.2024;[Epub]     CrossRef
  • Use of artificial intelligence for the prediction of lymph node metastases in early-stage colorectal cancer: systematic review
    Nasya Thompson, Arthur Morley-Bunker, Jared McLauchlan, Tamara Glyn, Tim Eglinton
    BJS Open.2024;[Epub]     CrossRef
  • Machine learning for predicting colon cancer recurrence
    Erkan Kayikcioglu, Arif Hakan Onder, Burcu Bacak, Tekin Ahmet Serel
    Surgical Oncology.2024; 54: 102079.     CrossRef
  • A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population
    Yi Wang, Xinmeng Yao, Dahui Wang, Chengyin Ye, Liangwen Xu
    BMC Public Health.2024;[Epub]     CrossRef
  • Potential clinical value of fibrinogen-like protein 1 as a serum biomarker for the identification of diabetic cardiomyopathy
    Yao Liu, Min Wang, Jia-Bao Su, Xiao Fu, Guan-Li Zheng, Shan Guo, Li-Juan Zhang, Qing-Bo Lu
    Scientific Reports.2024;[Epub]     CrossRef
  • CXCR4-mediated neutrophil dynamics in periodontitis
    Xuanwen Xu, Tiange Li, Jingqi Tang, Danlei Wang, Yi Zhou, Huiqing Gou, Lu Li, Yan Xu
    Cellular Signalling.2024; 120: 111212.     CrossRef
  • Hspb1 and Lgals3 in spinal neurons are closely associated with autophagy following excitotoxicity based on machine learning algorithms
    Lei Yan, Zihao Li, Chuanbo Li, Jingyu Chen, Xun Zhou, Jiaming Cui, Peng Liu, Chong Shen, Chu Chen, Hongxiang Hong, Guanhua Xu, Zhiming Cui, Suyan Tian
    PLOS ONE.2024; 19(5): e0303235.     CrossRef
  • Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies
    Ayrton Bangolo, Nikita Wadhwani, Vignesh K Nagesh, Shraboni Dey, Hadrian Hoang-Vu Tran, Izage Kianifar Aguilar, Auda Auda, Aman Sidiqui, Aiswarya Menon, Deborah Daoud, James Liu, Sai Priyanka Pulipaka, Blessy George, Flor Furman, Nareeman Khan, Adewale Pl
    Artificial Intelligence in Gastrointestinal Endoscopy.2024;[Epub]     CrossRef
  • Identification and Validation of Nicotinamide Metabolism-Related Gene Signatures as a Novel Prognostic Model for Hepatocellular Carcinoma
    Sijia Yang, Ang Li, Lihong Lv, Jinxin Duan, Zhihua Zheng, Wenfeng Zhuo, Jun Min, Jinxing Wei
    OncoTargets and Therapy.2024; Volume 17: 423.     CrossRef
  • Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage
    Chaonan Du, Cong Wang, Zhiwei Liu, Wenxuan Xin, Qizhe Zhang, Alleyar Ali, Xinrui Zeng, Zhenxing Li, Chiyuan Ma
    International Immunopharmacology.2024; 137: 112449.     CrossRef
  • Single-cell analysis and machine learning identify psoriasis-associated CD8+ T cells serve as biomarker for psoriasis
    Sijia He, Lyuye Liu, Xiaoyan Long, Man Ge, Menghan Cai, Junling Zhang
    Frontiers in Genetics.2024;[Epub]     CrossRef
  • DcR3-associated risk score: correlating better prognosis and enhanced predictive power in colorectal cancer
    Ying Duan, Hangrong Fang, Juanhong Wang, Banlai Ruan, Juan Yang, Jie Liu, Siqi Gou, Yijie Li, Zhengyi Cheng
    Discover Oncology.2024;[Epub]     CrossRef
  • Lymph node metastasis detection using artificial intelligence in T1 colorectal cancer: A comprehensive systematic review
    Xiaoyan Yao, Zhiyong Zhou, Shengxun Mao, Jiaqing Cao, Huizi Li
    Journal of Surgical Oncology.2024; 130(3): 637.     CrossRef
  • Development and Validation of an Interpretable Machine Learning Model for Early Prognosis Prediction in ICU Patients with Malignant Tumors and Hyperkalemia
    Zhi-Jun Bu, Nan Jiang, Ke-Cheng Li, Zhi-Lin Lu, Nan Zhang, Shao-Shuai Yan, Zhi-Lin Chen, Yu-Han Hao, Yu-Huan Zhang, Run-Bing Xu, Han-Wei Chi, Zu-Yi Chen, Jian-Ping Liu, Dan Wang, Feng Xu, Zhao-Lan Liu
    Medicine.2024; 103(30): e38747.     CrossRef
  • Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation
    Jiefeng Ren, Haijun Wang, Song Lai, Yi Shao, Hebin Che, Zaiyao Xue, Xinlian Qi, Sha Zhang, Jinkun Dai, Sai Wang, Kunlian Li, Wei Gan, Quanjin Si
    BMC Cardiovascular Disorders.2024;[Epub]     CrossRef
  • Identifying and validating necroptosis‐associated features to predict clinical outcome and immunotherapy response in patients with glioblastoma
    Qinghua Yuan, Weida Gao, Mian Guo, Bo Liu
    Environmental Toxicology.2024; 39(10): 4729.     CrossRef
  • CuPCA: a web server for pan-cancer association analysis of large-scale cuproptosis-related genes
    Yishu Xu, Zhenshu Ma, Yajie Wang, Long Zhang, Jiaming Ye, Yuan Chen, Zhengrong Yuan
    Database.2024;[Epub]     CrossRef
  • Transcriptomic analysis reveals oxidative stress-related signature and molecular subtypes in cholangio carcinoma
    Zichao Wu
    Molecular Genetics and Genomics.2024;[Epub]     CrossRef
  • The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma
    He-Xin Liang, Zong-Ying Wang, Yao Li, An-Ning Ren, Zhi-Feng Chen, Xi-Zhen Wang, Xi-Ming Wang, Zhen-Guo Yuan
    BMC Medical Imaging.2024;[Epub]     CrossRef
  • The AC010247.2/miR-125b-5p axis triggers the malignant progression of acute myelocytic leukemia by IL-6R
    Fang Xie, Jialu Xu, Lina Yan, Xia Xiao, Liang Liu
    Heliyon.2024; 10(18): e37715.     CrossRef
  • Application of machine learning for predicting lymph node metastasis in T1 colorectal cancer: a systematic review and meta-analysis
    Chinock Cheong, Na Won Kim, Hye Sun Lee, Jeonghyun Kang
    Langenbeck's Archives of Surgery.2024;[Epub]     CrossRef
  • Short-term PV energy yield predictions within city neighborhoods for optimum grid management
    Stefani Peratikou, Alexandros G. Charalambides
    Energy and Buildings.2024; 323: 114773.     CrossRef
  • Integrating microarray-based spatial transcriptomics and RNA-seq reveals tissue architecture in colorectal cancer
    Zheng Li, Xiaojie Zhang, Chongyuan Sun, Zefeng Li, He Fei, Dongbing Zhao
    Journal of Big Data.2024;[Epub]     CrossRef
  • Construction and validation of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine learning study
    Guiyuan Ma, Shujie Chen, Sha Peng, Nian Yao, Jiaji Hu, Letian Xu, Tingyin Chen, Jiaan Wang, Xin Huang, Jinghui Zhang
    Journal of Thrombosis and Thrombolysis.2024;[Epub]     CrossRef
  • Association of coexposure to perfluoroalkyl and polyfluoroalkyl compounds and heavy metals with pregnancy loss and reproductive lifespan: The mediating role of cholesterol
    Hua Fang, Dai Lin, Ziqi Zhang, Haoting Chen, Zixin Zheng, Dongdong Jiang, Wenxiang Wang
    Ecotoxicology and Environmental Safety.2024; 286: 117160.     CrossRef
  • Identification of novel diagnostic biomarkers associated with liver metastasis in colon adenocarcinoma by machine learning
    Long Yang, Ye Tian, Xiaofei Cao, Jiawei Wang, Baoyang Luo
    Discover Oncology.2024;[Epub]     CrossRef
  • Assessing prospective molecular biomarkers and functional pathways in severe asthma based on a machine learning method and bioinformatics analyses
    Ya-Da Zhang, Yi-Ren Chen, Wei Zhang, Bin-Qing Tang
    Journal of Asthma.2024; : 1.     CrossRef
  • Identification of a disulfidptosis-related genes signature for diagnostic and immune infiltration characteristics in endometriosis
    Xiangyu Chang, Jinwei Miao
    Scientific Reports.2024;[Epub]     CrossRef
  • Machine learning model based on SERPING1, C1QB, and C1QC: A novel diagnostic approach for latent tuberculosis infection
    Linsheng Li, Li Zhuang, Ling Yang, Zhaoyang Ye, Ruizi Ni, Yajing An, Weiguo Zhao, Wenping Gong
    iLABMED.2024; 2(4): 248.     CrossRef
  • Development of machine learning models for predicting depressive symptoms in knee osteoarthritis patients
    Dan Li, Han Lu, Junhui Wu, Hongbo Chen, Meidi Shen, Beibei Tong, Wen Zeng, Weixuan Wang, Shaomei Shang
    Scientific Reports.2024;[Epub]     CrossRef
  • Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer
    Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms
    Zehua Yang, Yamei Zheng, Lei Zhang, Jie Zhao, Wenya Xu, Haihong Wu, Tian Xie, Yipeng Ding
    International Journal of Chronic Obstructive Pulmonary Disease.2024; Volume 19: 2397.     CrossRef
  • Identification of biomarkers related to Escherichia coli infection for the diagnosis of gastrointestinal tumors applying machine learning methods
    Tingting Ge, Wei Wang, Dandan Zhang, Xubo Le, Lumei Shi
    Heliyon.2024; 10(23): e40491.     CrossRef
  • Immune Microenvironment Alterations and Identification of Key Diagnostic Biomarkers in Chronic Kidney Disease Using Integrated Bioinformatics and Machine Learning
    Jinbao Shi, Aliang Xu, Liuying Huang, Shaojie Liu, Binxuan Wu, Zuhong Zhang
    Pharmacogenomics and Personalized Medicine.2024; Volume 17: 497.     CrossRef
  • Identification of alternative lengthening of telomeres-related genes prognosis model in hepatocellular carcinoma
    FanLin Zeng, YuLiang Chen, Jie Lin
    BMC Cancer.2024;[Epub]     CrossRef
  • Bioinformatics Analysis Identifies PLA2G7 as a Key Antigen-Presenting Prognostic Related Gene Promoting Hepatocellular Carcinoma through the STAT1/PD-L1 Axis
    Sihang Guo, Qinhe Yang
    Frontiers in Bioscience-Landmark.2024;[Epub]     CrossRef
  • Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction model
    Xinli Chen, Huan Zhang, Dongxia Guo, Siyuan Yang, Bao Liu, Yiping Hao, Qingqing Liu, Teng Zhang, Fanrong Meng, Longyun Sun, Xinlin Jiao, Wenjing Zhang, Yanli Ban, Yugang Chi, Guowei Tao, Baoxia Cui
    eClinicalMedicine.2024; 78: 102969.     CrossRef
  • TRIM16 and PRC1 Are Involved in Pancreatic Cancer Progression and Targeted by Delphinidin
    Donghua Wang, Long Lv, Jinghu Du, Kui Tian, Yu Chen, Manyu Chen
    Chemical Biology & Drug Design.2024;[Epub]     CrossRef
  • Identification of Ferroptosis‐Related Gene in Age‐Related Macular Degeneration Using Machine Learning
    Meijiang Zhu, Jing Yu
    Immunity, Inflammation and Disease.2024;[Epub]     CrossRef
  • Integration of bioinformatics analysis reveals ZNF248 as a potential prognostic and immunotherapeutic biomarker for LIHC: machine learning and experimental evidence
    Lifang Weng
    American Journal of Cancer Research.2024; 14(11): 5230.     CrossRef
  • Development and Validation of a Nomogram for Predicting Suicidal Ideation Among Rural Adolescents in China
    Yunjiao Luo, Yuhao Wang, Yingxue Wang, Yihan Wang, Na Yan, Blen Shiferaw, Louisa Mackay, Ziyang Zhang, Caiyi Zhang, Wei Wang
    Psychology Research and Behavior Management.2024; Volume 17: 4413.     CrossRef
  • High serum mannose in colorectal cancer: a novel biomarker of lymph node metastasis and poor prognosis
    Xueling Wang, Haoran Li, Xiaotian Chang, Zibin Tian
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Development of a nomogram for predicting nosocomial infections among patients after cardiac valve replacement surgery
    Xue Yao, Na Li, Ranran Lu, Xujing Wang, Yujun Zhang, Shuhui Wang
    Journal of Clinical Nursing.2023; 32(7-8): 1466.     CrossRef
  • Machine learning-based warning model for chronic kidney disease in individuals over 40 years old in underprivileged areas, Shanxi Province
    Wenzhu Song, Yanfeng Liu, Lixia Qiu, Jianbo Qing, Aizhong Li, Yan Zhao, Yafeng Li, Rongshan Li, Xiaoshuang Zhou
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Artificial intelligence in colorectal surgery: an AI-powered systematic review
    A. Spinelli, F. M. Carrano, M. E. Laino, M. Andreozzi, G. Koleth, C. Hassan, A. Repici, M. Chand, V. Savevski, G. Pellino
    Techniques in Coloproctology.2023; 27(8): 615.     CrossRef
  • Prognostic significance of neutrophil count on in-hospital mortality in patients with acute type A aortic dissection
    Weiqi Feng, Huili Li, Qiuji Wang, Chenxi Li, Jinlin Wu, Jue Yang, Ruixin Fan
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Machine learning algorithms assisted identification of post-stroke depression associated biological features
    Xintong Zhang, Xiangyu Wang, Shuwei Wang, Yingjie Zhang, Zeyu Wang, Qingyan Yang, Song Wang, Risheng Cao, Binbin Yu, Yu Zheng, Yini Dang
    Frontiers in Neuroscience.2023;[Epub]     CrossRef
  • Risk prediction of bronchopulmonary dysplasia in preterm infants by the nomogram model
    Yang Gao, Dongyun Liu, Yingmeng Guo, Menghan Cao
    Frontiers in Pediatrics.2023;[Epub]     CrossRef
  • LncRNA model predicts liver cancer drug resistance and validate in vitro experiments
    Qiushi Yin, Xiaolong Huang, Qiuxi Yang, Shibu Lin, Qifeng Song, Weiqiang Fan, Wang Li, Zhongyi Li, Lianghui Gao
    Frontiers in Cell and Developmental Biology.2023;[Epub]     CrossRef
  • Artificial intelligence–assisted treatment strategy for T1 colorectal cancer after endoscopic resection
    Katsuro Ichimasa, Shin-ei Kudo, Jonathan Wei Jie Lee, Tetsuo Nemoto, Khay Guan Yeoh
    Gastrointestinal Endoscopy.2023; 97(6): 1148.     CrossRef
  • A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management
    Hong Pan, Jijia Sun, Xin Luo, Heling Ai, Jing Zeng, Rong Shi, An Zhang
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • LASSO-based machine learning algorithm to predict the incidence of diabetes in different stages
    Qianying Ou, Wei Jin, Leweihua Lin, Danhong Lin, Kaining Chen, Huibiao Quan
    The Aging Male.2023;[Epub]     CrossRef
  • Prediction model based on radiomics and clinical features for preoperative lymphovascular invasion in gastric cancer patients
    Ping Wang, Kaige Chen, Ying Han, Min Zhao, Nanding Abiyasi, Haiyong Peng, Shaolei Yan, Jiming Shang, Naijian Shang, Wei Meng
    Future Oncology.2023; 19(23): 1613.     CrossRef
  • Liang-Ge-San: a classic traditional Chinese medicine formula, attenuates acute inflammation via targeting GSK3β
    Liling Yang, Lijun Yan, Weifu Tan, Xiangjun Zhou, Guangli Yang, Jingtao Yu, Zibin Lu, Yong Liu, Liyi Zou, Wei Li, Linzhong Yu
    Frontiers in Pharmacology.2023;[Epub]     CrossRef
  • Synergistic inhibition of NUDT21 by secretory S100A11 and exosomal miR‐487a‐5p promotes melanoma oligo‐ to poly‐metastatic progression
    Bin Zeng, Yuting Chen, Hao Chen, Qiting Zhao, Zhiwei Sun, Doudou Liu, Xiaoshuang Li, Yuhan Zhang, Jianyu Wang, H. Rosie Xing
    Molecular Oncology.2023; 17(12): 2743.     CrossRef
  • Identification of immune-related lncRNA in sepsis by construction of ceRNA network and integrating bioinformatic analysis
    Tianfeng Wang, Si Xu, Lei Zhang, Tianjun Yang, Xiaoqin Fan, Chunyan Zhu, Yinzhong Wang, Fei Tong, Qing Mei, Aijun Pan
    BMC Genomics.2023;[Epub]     CrossRef
  • Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism
    Dan Cong, Yanan Zhao, Wenlong Zhang, Jun Li, Yuansong Bai
    Frontiers in Pharmacology.2023;[Epub]     CrossRef
  • Identification of raffinose family oligosaccharides in processed Rehmannia glutinosa Libosch using matrix‐assisted laser desorption/ionization mass spectrometry image combined with machine learning
    Huizhi Li, Shishan Zhang, Yanfang Zhao, Jixiang He, Xiangfeng Chen
    Rapid Communications in Mass Spectrometry.2023;[Epub]     CrossRef
  • Development and validation of a LASSO-based prediction model for immunosuppressive medication nonadherence in kidney transplant recipients
    Lei Dong, Xiao Zhu, Hongyu Zhao, Qin Zhao, Shan Liu, Jia Liu, Lina Gong
    Renal Failure.2023;[Epub]     CrossRef
  • An artificial intelligence prediction model outperforms conventional guidelines in predicting lymph node metastasis of T1 colorectal cancer
    Zheng Hua Piao, Rong Ge, Lu Lu
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Silicon versus Superbug: Assessing Machine Learning’s Role in the Fight against Antimicrobial Resistance
    Tallon Coxe, Rajeev K. Azad
    Antibiotics.2023; 12(11): 1604.     CrossRef
  • Predictive model for early death risk in pediatric hemophagocytic lymphohistiocytosis patients based on machine learning
    Li Xiao, Yang Zhang, Ximing Xu, Ying Dou, Xianmin Guan, Yuxia Guo, Xianhao Wen, Yan Meng, Meiling Liao, Qinshi Hu, Jie Yu
    Heliyon.2023; 9(11): e22202.     CrossRef
  • Multimodal and multi-omics-based deep learning model for screening of optic neuropathy
    Ye-ting Lin, Qiong Zhou, Jian Tan, Yulin Tao
    Heliyon.2023; 9(12): e22244.     CrossRef
  • Exploration and validation of key genes associated with early lymph node metastasis in thyroid carcinoma using weighted gene co-expression network analysis and machine learning
    Yanyan Liu, Zhenglang Yin, Yao Wang, Haohao Chen
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Current problems and perspectives of pathological risk factors for lymph node metastasis in T1 colorectal cancer: Systematic review
    Katsuro Ichimasa, Shin‐ei Kudo, Hideyuki Miyachi, Yuta Kouyama, Kenichi Mochizuki, Yuki Takashina, Yasuharu Maeda, Yuichi Mori, Toyoki Kudo, Yuki Miyata, Yoshika Akimoto, Yuki Kataoka, Takafumi Kubota, Tetsuo Nemoto, Fumio Ishida, Masashi Misawa
    Digestive Endoscopy.2022; 34(5): 901.     CrossRef
  • Tumor Location as a Prognostic Factor in T1 Colorectal Cancer
    Katsuro Ichimasa, Shin-ei Kudo, Yuta Kouyama, Kenichi Mochizuki, Yuki Takashina, Masashi Misawa, Yuichi Mori, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi
    Journal of the Anus, Rectum and Colon.2022; 6(1): 9.     CrossRef
  • The Importance of Being “That” Colorectal pT1: A Combined Clinico-Pathological Predictive Score to Improve Nodal Risk Stratification
    Alessandro Gambella, Enrico Costantino Falco, Giacomo Benazzo, Simona Osella-Abate, Rebecca Senetta, Isabella Castellano, Luca Bertero, Paola Cassoni
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning
    Xiangliang Liu, Yuguang Li, Wei Ji, Kaiwen Zheng, Jin Lu, Yixin Zhao, Wenxin Zhang, Mingyang Liu, Jiuwei Cui, Wei Li
    Cancer Management and Research.2022; Volume 14: 1431.     CrossRef
  • Deep Submucosal Invasion Is Not an Independent Risk Factor for Lymph Node Metastasis in T1 Colorectal Cancer: A Meta-Analysis
    Liselotte W. Zwager, Barbara A.J. Bastiaansen, Nahid S.M. Montazeri, Roel Hompes, Valeria Barresi, Katsuro Ichimasa, Hiroshi Kawachi, Isidro Machado, Tadahiko Masaki, Weiqi Sheng, Shinji Tanaka, Kazutomo Togashi, Chihiro Yasue, Paul Fockens, Leon M.G. Moo
    Gastroenterology.2022; 163(1): 174.     CrossRef
  • LASSO ‐derived nomogram predicting new‐onset diabetes mellitus in patients with kidney disease receiving immunosuppressive drugs
    Lina Shao, Chuxuan Luo, Chaoyun Yuan, Xiaolan Ye, Yuqun Zeng, Yan Ren, Binxian Ye, Yiwen Li, Juan Jin, Qiang He, Xiaogang Shen
    Journal of Clinical Pharmacy and Therapeutics.2022; 47(10): 1627.     CrossRef
  • Using random forest algorithm for glomerular and tubular injury diagnosis
    Wenzhu Song, Xiaoshuang Zhou, Qi Duan, Qian Wang, Yaheng Li, Aizhong Li, Wenjing Zhou, Lin Sun, Lixia Qiu, Rongshan Li, Yafeng Li
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Identification of diagnostic signatures associated with immune infiltration in Alzheimer’s disease by integrating bioinformatic analysis and machine-learning strategies
    Yu Tian, Yaoheng Lu, Yuze Cao, Chun Dang, Na Wang, Kuo Tian, Qiqi Luo, Erliang Guo, Shanshun Luo, Lihua Wang, Qian Li
    Frontiers in Aging Neuroscience.2022;[Epub]     CrossRef
  • Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer
    Qingwen Zeng, Hong Li, Yanyan Zhu, Zongfeng Feng, Xufeng Shu, Ahao Wu, Lianghua Luo, Yi Cao, Yi Tu, Jianbo Xiong, Fuqing Zhou, Zhengrong Li
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Identification of Drug-Induced Liver Injury Biomarkers from Multiple Microarrays Based on Machine Learning and Bioinformatics Analysis
    Kaiyue Wang, Lin Zhang, Lixia Li, Yi Wang, Xinqin Zhong, Chunyu Hou, Yuqi Zhang, Congying Sun, Qian Zhou, Xiaoying Wang
    International Journal of Molecular Sciences.2022; 23(19): 11945.     CrossRef
  • Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma
    Xiaowei Feng, Tao Hong, Wencai Liu, Chan Xu, Wanying Li, Bing Yang, Yang Song, Ting Li, Wenle Li, Hui Zhou, Chengliang Yin
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning
    Morten Hartwig, Karoline Bendix Bräuner, Rasmus Vogelsang, Ismail Gögenur
    International Journal of Colorectal Disease.2022; 37(12): 2517.     CrossRef
  • A retrospective analysis based on multiple machine learning models to predict lymph node metastasis in early gastric cancer
    Tao Yang, Javier Martinez-Useros, JingWen Liu, Isaias Alarcón, Chao Li, WeiYao Li, Yuanxun Xiao, Xiang Ji, YanDong Zhao, Lei Wang, Salvador Morales-Conde, Zuli Yang
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology
    Chrysanthos D Christou, Georgios Tsoulfas
    World Journal of Gastroenterology.2021; 27(37): 6191.     CrossRef
  • 12,475 View
  • 365 Download
  • 105 Web of Science
  • 107 Crossref
Close layer
T Cells Modified with CD70 as an Alternative Cellular Vaccine for Antitumor Immunity
Sang-Eun Lee, A-Ri Shin, Hyun-Jung Sohn, Hyun-Il Cho, Tai-Gyu Kim
Cancer Res Treat. 2020;52(3):747-763.   Published online February 14, 2020
DOI: https://doi.org/10.4143/crt.2019.721
AbstractAbstract PDFPubReaderePub
Purpose
Successful tumor eradication primarily depends on generation and maintenance of a large population of tumor-reactive CD8 T cells. Dendritic cells (DCs) are well-known potent antigen-presenting cells and have applied to clinics as potent antitumor therapeutic agents. However, high cost and difficulty in obtaining sufficient amounts for clinical use are the crucial drawbacks of DC-based vaccines. Here, we aimed to develop T cell–based vaccine capable of eliciting potent antitumor therapeutic effects by providing effective costimulatory signals.
Materials and Methods
Antigenic peptide-loaded T cells transfected with retrovirus encoding costimulatory ligands CD70, CD80, OX40L, or 4-1BBL were assessed for antigen-specific CD8 T-cell responses and evaluated antitumor effects along with immunization of a mixture of synthetic peptides, poly-IC and anti-CD40 antibodies (TriVax).
Results
T cells expressing CD70 (CD70-T) exhibited similar level of stimulatory functionality and therapeutic efficacy as DCs. Moreover, CD70-T prime followed by TriVax booster heterologous vaccination elicited therapeutic antitumor effect against B16 melanoma where mediated by CD8 T cells but not CD4 T cells or natural killer cells. The combination with programmed death-ligand 1 blockade led to potent therapeutic efficacy which exhibited increased tumor-infiltrating CD8 T cells. CD70-T pulsed with multi-antigenic peptide generated multiple antigen-specific polyvalent CD8 T cells that were capable of inhibiting tumor growth effectively. Moreover, CD70-T vaccination resulted in higher expansion and migration of adoptively transferred T cells into tumor sites and elicits enhanced therapeutic effects with peptide-based booster immu-nization.
Conclusion
These results imply that T cells endowed with CD70 enable the design of effective vaccination strategies against solid cancer, which may overcome current limitations of DC-based vaccines.

Citations

Citations to this article as recorded by  
  • Unveiling the role of MDH1 in breast cancer drug resistance through single-cell sequencing and schottenol intervention
    Jian Lu, Feng Ding, Yongjie Sun, Yu Zhao, Wenbiao Ma, Huan Zhang, Bo Shi
    Cellular Signalling.2025; 127: 111608.     CrossRef
  • Amplifying mRNA vaccines: potential versatile magicians for oncotherapy
    Chaoying Hu, Jianyang Liu, Feiran Cheng, Yu Bai, Qunying Mao, Miao Xu, Zhenglun Liang
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • STING activation normalizes the intraperitoneal vascular-immune microenvironment and suppresses peritoneal carcinomatosis of colon cancer
    Seung Joon Lee, Hannah Yang, Woo Ram Kim, Yu Seong Lee, Won Suk Lee, So Jung Kong, Hye Jin Lee, Jeong Hun Kim, Jaekyung Cheon, Beodeul Kang, Hong Jae Chon, Chan Kim
    Journal for ImmunoTherapy of Cancer.2021; 9(6): e002195.     CrossRef
  • Comprehensive Analysis of the Prognostic Value and Immune Function of Immune Checkpoints in Stomach Adenocarcinoma
    Kai Shen, Tong Liu
    International Journal of General Medicine.2021; Volume 14: 5807.     CrossRef
  • 9,181 View
  • 288 Download
  • 3 Web of Science
  • 4 Crossref
Close layer
Changes of Tumor Infiltrating Lymphocytes after Core Needle Biopsy and the Prognostic Implications in Early Stage Breast Cancer: A Retrospective Study
Jiahui Huang, Xiaosong Chen, Xiaochun Fei, Ou Huang, Jiayi Wu, Li Zhu, Jianrong He, Weiguo Chen, Yafen Li, Kunwei Shen
Cancer Res Treat. 2019;51(4):1336-1346.   Published online February 12, 2019
DOI: https://doi.org/10.4143/crt.2018.504
AbstractAbstract PDFPubReaderePub
Purpose
The purpose of this study was to investigate the changes of tumor infiltrating lymphocytes (TILs) between core needle biopsy (CNB) and surgery removed sample (SRS) in early stage breast cancer patients and to identify the correlating factors and prognostic significance of TILs changes.
Materials and Methods
A retrospective study was carried out on 255 patients who received CNB and underwent surgical resection for invasive breast cancer. Stromal TILs levels of CNB and SRS were evaluated respectively. Tumors with ≥50% stromal TILs were defined as lymphocyte-predominant breast cancer (LPBC). Clinicopathological variables were analyzed to determine whether there were factors associated with TILs changes. Log-rank tests and Cox proportional hazards models were used to analyze the influences of TILs and TILs changes on survival.
Results
SRS-TILs (median, 10.0%) were significant higher than CNB-TILs (median, 5.0%; p<0.001). Younger age (<60 years, p=0.016) and long surgery time interval (STI, ≥4 days; p=0.003) were independent factors correlating with higher TILs changes. CNB-LPBC patients showed better breast cancer-free interval (BCFI, p=0.021) than CNB-non-LPBC (CNB-nLPBC) patients. Patients were categorized into four groups according to the LPBC change pattern from CNB to SRS: LPBC→LPBC, LPBC→nLPBC, nLPBC→LPBC, and nLPBC→nLPBC, with estimated 5-year BCFI 100%, 100%, 69.7%, and 86.0% (p=0.016). nLPBC→LPBC pattern was an independent prognostic factor of worse BCFI (hazard ratio, 2.19; 95% confidence interval, 1.06 to 4.53; p=0.035) compared with other patterns.
Conclusion
TILs were significantly higher in SRS than in CNB. Higher TILs changes were associated with younger age and long STI. Changing from nLPBC to LPBC after CNB indicated a worse BCFI, which needs further validation.

Citations

Citations to this article as recorded by  
  • A nomogram to predict the pathological complete response in patients with breast cancer based on the TILs-US score
    Hideo Shigematsu, Kayo Fukui, Akiko Kanou, Mutsumi Fujimoto, Kanako Suzuki, Haruka Ikejiri, Ai Amioka, Emiko Hiraoka, Shinsuke Sasada, Akiko Emi, Koji Arihiro, Morihito Okada
    Japanese Journal of Clinical Oncology.2024; 54(9): 967.     CrossRef
  • Biomarker development for PD-(L)1 axis inhibition: a consensus view from the SITC Biomarkers Committee
    Anne Monette, Sarah Warren, J Carl Barrett, Charlie Garnett-Benson, Kurt A Schalper, Janis M Taube, Brian Topp, Alexandra Snyder
    Journal for ImmunoTherapy of Cancer.2024; 12(7): e009427.     CrossRef
  • Diagnostic performance of TILs–US score and LPBC in biopsy specimens for predicting pathological complete response in patients with breast cancer
    Hideo Shigematsu, Kayo Fukui, Akiko Kanou, Erika Yokoyama, Makiko Tanaka, Mutsumi Fujimoto, Kanako Suzuki, Haruka Ikejiri, Ai Amioka, Emiko Hiraoka, Shinsuke Sasada, Akiko Emi, Tetsuya Nakagiri, Koji Arihiro, Morihito Okada
    International Journal of Clinical Oncology.2024; 29(12): 1860.     CrossRef
  • Stromal grading predicts pathologic complete response and prognosis in triple-negative breast cancer
    Sean M. Hacking, Yihong Wang
    Virchows Archiv.2023; 483(6): 765.     CrossRef
  • Whole slide image features predict pathologic complete response and poor clinical outcomes in triple-negative breast cancer
    Sean M. Hacking, Julie Karam, Kamaljeet Singh, Ece D. Gamsiz Uzun, Arlen Brickman, Evgeny Yakirevich, Ross Taliano, Yihong Wang
    Pathology - Research and Practice.2023; 246: 154476.     CrossRef
  • Tumor infiltrating lymphocytes and radiological picture of the tumor
    Karolina Frankowska, Michał Zarobkiewicz, Izabela Dąbrowska, Agnieszka Bojarska-Junak
    Medical Oncology.2023;[Epub]     CrossRef
  • Core needle biopsies alter the amounts of CCR5, Siglec-15, and PD-L1 positivities in breast carcinoma
    Minna Mutka, Kristiina Joensuu, Marja Heiskala, Mine Eray, Päivi Heikkilä
    Virchows Archiv.2023; 483(2): 215.     CrossRef
  • Clinical characteristics, tumor‐infiltrating lymphocytes, and prognosis in HER2‐low breast cancer: A comparison study with HER2‐zero and HER2‐positive disease
    Yujie Lu, Yiwei Tong, Xiaochun Fei, Xiaosong Chen, Kunwei Shen
    Cancer Medicine.2023; 12(15): 16264.     CrossRef
  • Time interval between breast cancer diagnosis and surgery is associated with disease outcome
    Siji Zhu, Shuai Li, Jiahui Huang, Xiaochun Fei, Kunwei Shen, Xiaosong Chen
    Scientific Reports.2023;[Epub]     CrossRef
  • Evaluation of tumor-infiltrating lymphocytes and mammographic density as predictors of response to neoadjuvant systemic therapy in breast cancer
    Amalia H. Landén, Kian Chin, Anikó Kovács, Erik Holmberg, Eva Molnar, Axel Stenmark Tullberg, Fredrik Wärnberg, Per Karlsson
    Acta Oncologica.2023; 62(12): 1862.     CrossRef
  • Magnetic Resonance Imaging Features Associated with a High and Low Expression of Tumor-Infiltrating Lymphocytes: A Stratified Analysis According to Molecular Subtypes
    Jiejie Zhou, Yi Jin, Haiwei Miao, Shanshan Lu, Xinmiao Liu, Yun He, Huiru Liu, Youfan Zhao, Yang Zhang, Yan-Lin Liu, Zhifang Pan, Jeon-Hor Chen, Meihao Wang, Min-Ying Su
    Cancers.2023; 15(23): 5672.     CrossRef
  • Histopathological Evaluation of Tumor-Infiltrating Lymphocytes (TILs) as Predictive Biomarker for Hormone Receptors Status, Proliferative Activity and Clinical Outcome in Her-2 Positive Breast Cancer
    Giuseppe Angelico, Giuseppe Broggi, Rosario Caltabiano, Angela Santoro, Saveria Spadola, Nicoletta D’Alessandris, Giulia Scaglione, Michele Valente, Damiano Arciuolo, Alejandro Martin Sanchez, Gianluca Franceschini, Riccardo Masetti, Antonino Mulè, Gian F
    Applied Sciences.2021; 11(15): 6788.     CrossRef
  • Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer
    Zuzana Kos, Elvire Roblin, Rim S. Kim, Stefan Michiels, Brandon D. Gallas, Weijie Chen, Koen K. van de Vijver, Shom Goel, Sylvia Adams, Sandra Demaria, Giuseppe Viale, Torsten O. Nielsen, Sunil S. Badve, W. Fraser Symmans, Christos Sotiriou, David L. Rimm
    npj Breast Cancer.2020;[Epub]     CrossRef
  • Can Tumor-Infiltrating Lymphocytes (TILs) Be a Predictive Factor for Lymph Nodes Status in Both Early Stage and Locally Advanced Breast Cancer?
    Alexandra Caziuc, Diana Schlanger, Giorgiana Amarinei, George Calin Dindelegan
    Journal of Clinical Medicine.2019; 8(4): 545.     CrossRef
  • 7,159 View
  • 212 Download
  • 16 Web of Science
  • 14 Crossref
Close layer
Prognostic Role and Clinical Association of Tumor-Infiltrating Lymphocyte, Programmed Death Ligand-1 Expression with Neutrophil-Lymphocyte Ratio in Locally Advanced Triple-Negative Breast Cancer
Jieun Lee, Dong-Min Kim, Ahwon Lee
Cancer Res Treat. 2019;51(2):649-663.   Published online July 31, 2018
DOI: https://doi.org/10.4143/crt.2018.270
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
Tumor-infiltrating lymphocyte (TIL), programmed death-ligand 1 (PD-L1) expression and neutrophil-to-lymphocyte ratio (NLR) is associated to immunogenicity and prognosis of breast cancer. We analyzed baseline NLR, changes of NLR, TIL, and PD-L1 during neoadjuvant chemotherapy (NAC) and their clinical implication in triple-negative breast cancer (TNBC).
Materials and Methods
Between January 2008 to December 2015, 358 TNBC patients were analyzed. Baseline NLR, 50 paired NLR (initial diagnosis, after completion of NAC) and 34 paired tissues (initial diagnosis, surgical specimen after completion of NAC) were collected. Changes of TIL, CD4, CD8, forkhead box P3 (FOXP3), and PD-L1 expression were assessed with immunohistochemical stain.
Results
Low NLR (≤ 3.16) was associated to superior survival (overall survival: 41.83 months vs. 36.5 months, p=0.002; disease-free survival [DFS]: 37.85 months vs. 32.14 months, p=0.032). Modest NLR change after NAC (–30% < NLR change < 100%) showed prolonged DFS (38.37 months vs. 22.37 months, p=0.015). During NAC, negative or negative conversion of tumor PD-L1 expression was associated to poor DFS (34.77 months vs. 16.03 months, p=0.037), and same or increased TIL showed trends for superior DFS, but without statistical significance. Positive tumor PD-L1 expression (H-score ≥ 5) in baseline or post- NAC tissue was associated to superior DFS (57.6 months vs. 12.5 months, p=0.001 and 53.3 months vs. 18.9 months, p=0.040). Positive stromal PD-L1 expression in baseline was also associated to superior DFS (50.2 months vs. 20.4 months, p=0.002).
Conclusion
In locally advanced TNBC, baseline NLR, changes of NLR during NAC was associated to survival. Baseline PD-L1 expression and changes of PD-L1 expression in tumor tissue during NAC also showed association to prognosis.

Citations

Citations to this article as recorded by  
  • Neutrophil–lymphocyte ratio reflects tumour‐infiltrating lymphocytes and tumour‐associated macrophages and independently predicts poor outcome in breast cancers with neoadjuvant chemotherapy
    Joshua J X Li, Shelly Y B Ni, Julia Y S Tsang, Wai Yin Chan, Ray K W Hung, Joshua W H Lui, Sally W Y Ng, Leong Kwong Shum, Ying Fei Tang, Gary M Tse
    Histopathology.2024; 84(5): 810.     CrossRef
  • Circulating blood biomarkers correlated with the prognosis of advanced triple negative breast cancer
    Xingyu Li, Yanyan Zhang, Cheng Zhu, Wentao Xu, Xiaolei Hu, Domingo Antonio Sánchez Martínez, José Luis Alonso Romero, Ming Yan, Ying Dai, Hua Wang
    BMC Women's Health.2024;[Epub]     CrossRef
  • Recent advancements in nanoconstructs for the theranostics applications for triple negative breast cancer
    Ashutosh Gupta, Kumar Nishchaya, Moumita Saha, Gaurisha Alias Resha Ramnath Naik, Sarika Yadav, Shreya Srivastava, Amrita Arup Roy, Sudheer Moorkoth, Srinivas Mutalik, Namdev Dhas
    Journal of Drug Delivery Science and Technology.2024; 93: 105401.     CrossRef
  • Predictive value of stromal tumor-infiltrating lymphocytes in patients with breast cancer treated with neoadjuvant chemotherapy: A meta-analysis
    Guangfa Xia, Ziran Zhang, Qin Jiang, Huan Wang, Jie Wang
    Medicine.2024; 103(6): e36810.     CrossRef
  • The prognostic value of preoperative neoindices consisting of lymphocytes, neutrophils and albumin (LANR) in operable breast cancer: a retrospective study
    Yuan Wang, Jiaru Zhuang, Shan Wang, Yibo Wu, Ling Chen
    PeerJ.2024; 12: e17382.     CrossRef
  • A review concerning the breast cancer-related tumour microenvironment
    Oscar Hernán Rodríguez-Bejarano, Carlos Parra-López, Manuel Alfonso Patarroyo
    Critical Reviews in Oncology/Hematology.2024; 199: 104389.     CrossRef
  • Alteration of PD-L1 (SP142) status after neoadjuvant chemotherapy and its clinical significance in triple-negative breast cancer
    Ji Won Woo, Eun Kyung Han, Koung Jin Suh, Se Hyun Kim, Jee Hyun Kim, So Yeon Park
    Breast Cancer Research and Treatment.2024; 207(2): 301.     CrossRef
  • Predictive value of pretreatment circulating inflammatory response markers in the neoadjuvant treatment of breast cancer: meta-analysis
    Gavin P Dowling, Gordon R Daly, Aisling Hegarty, Sandra Hembrecht, Aisling Bracken, Sinead Toomey, Bryan T Hennessy, Arnold D K Hill
    British Journal of Surgery.2024;[Epub]     CrossRef
  • Pathology of neoadjuvant therapy and immunotherapy testing for breast cancer
    Elena Provenzano, Abeer M Shaaban
    Histopathology.2023; 82(1): 170.     CrossRef
  • Recent Advances in Targeted Nanocarriers for the Management of Triple Negative Breast Cancer
    Rajesh Pradhan, Anuradha Dey, Rajeev Taliyan, Anu Puri, Sanskruti Kharavtekar, Sunil Kumar Dubey
    Pharmaceutics.2023; 15(1): 246.     CrossRef
  • The prognostic value of tumour-infiltrating lymphocytes, programmed cell death protein-1 and programmed cell death ligand-1 in Stage I–III triple-negative breast cancer
    Guang-Yi Sun, Jing Zhang, Bing-Zhi Wang, Hao Jing, Hui Fang, Yu Tang, Yong-Wen Song, Jing Jin, Yue-Ping Liu, Yuan Tang, Shu-Nan Qi, Bo Chen, Ning-Ning Lu, Ning Li, Ye-Xiong Li, Jian-Ming Ying, Shu-Lian Wang
    British Journal of Cancer.2023; 128(11): 2044.     CrossRef
  • Effect of neoadjuvant chemotherapy on tumor immune infiltration in breast cancer patients: Systematic review and meta-analysis
    Manuela Llano-León, Laura Camila Martínez-Enriquez, Oscar Mauricio Rodríguez-Bohórquez, Esteban Alejandro Velandia-Vargas, Nicolás Lalinde-Ruíz, María Alejandra Villota-Álava, Ivon Johanna Rodríguez-Rodríguez, María del Pilar Montilla-Velásquez, Carlos Al
    PLOS ONE.2023; 18(4): e0277714.     CrossRef
  • Association of neutrophil-to-lymphocyte ratio with clinical, pathological, radiological, laboratory features and disease outcomes of invasive breast cancer patients: A retrospective observational cohort study
    Sarosh Khan Jadoon, Rufina Soomro, Muhammad Nadeem Ahsan, Raja Muhammad Ijaz Khan, Sadia Iqbal, Farah Yasmin, Hala Najeeb, Nida Saleem, Namiya Cho, Resham, Taha Gul Shaikh, Syeda Fatima Saba Hasan, Muhammad Zain Khalid, Sarosh Alvi, Ahsan Mujtaba Rizvi,
    Medicine.2023; 102(20): e33811.     CrossRef
  • A new prognostic model including immune biomarkers, genomic proliferation tumor markers (AURKA and MYBL2) and clinical-pathological features optimizes prognosis in neoadjuvant breast cancer patients
    Esmeralda García-Torralba, Esther Navarro Manzano, Gines Luengo-Gil, Pilar De la Morena Barrio, Asunción Chaves Benito, Miguel Pérez-Ramos, Beatriz Álvarez-Abril, Alejandra Ivars Rubio, Elisa García-Garre, Francisco Ayala de la Peña, Elena García-Martínez
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Tumor infiltrating lymphocytes and neutrophil-to-lymphocyte ratio in relation to pathological complete remission to neoadjuvant therapy and prognosis in triple negative breast cancer
    Meng Zhao, Hui Xing, Jiankun He, Xinran Wang, Yueping Liu
    Pathology - Research and Practice.2023; 248: 154687.     CrossRef
  • Minimal residual disease in advanced or metastatic solid cancers: The G0-G1 state and immunotherapy are key to unwinding cancer complexity
    Andrea Nicolini, Giuseppe Rossi, Paola Ferrari, Angelo Carpi
    Seminars in Cancer Biology.2022; 79: 68.     CrossRef
  • The advanced lung cancer inflammation index is a novel independent prognosticator in colorectal cancer patients after curative resection
    Taichi Horino, Ryuma Tokunaga, Yuji Miyamoto, Yukiharu Hiyoshi, Takahiko Akiyama, Nobuya Daitoku, Yuki Sakamoto, Naoya Yoshida, Hideo Baba
    Annals of Gastroenterological Surgery.2022; 6(1): 83.     CrossRef
  • The Characteristics of Tumor Microenvironment in Triple Negative Breast Cancer
    Yiqi Fan, Shuai He
    Cancer Management and Research.2022; Volume 14: 1.     CrossRef
  • Predictive and Prognostic Role of Peripheral Blood T-Cell Subsets in Triple-Negative Breast Cancer
    Meng Li, Junnan Xu, Cui Jiang, Jingyan Zhang, Tao Sun
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • PD-L1 expression in breast invasive ductal carcinoma with incomplete pathological response to neoadjuvant chemotherapy
    Ahmad Alhesa, Heyam Awad, Sarah Bloukh, Mahmoud Al-Balas, Mohammed El-Sadoni, Duaa Qattan, Bilal Azab, Tareq Saleh
    International Journal of Immunopathology and Pharmacology.2022;[Epub]     CrossRef
  • Circulating proteins as predictive and prognostic biomarkers in breast cancer
    Hugo Veyssière, Yannick Bidet, Frederique Penault-Llorca, Nina Radosevic-Robin, Xavier Durando
    Clinical Proteomics.2022;[Epub]     CrossRef
  • Targeting the antigen processing and presentation pathway to overcome resistance to immune checkpoint therapy
    Silvia D’Amico, Patrizia Tempora, Ombretta Melaiu, Valeria Lucarini, Loredana Cifaldi, Franco Locatelli, Doriana Fruci
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Programmed death-ligand 1 (PD-L1) expression predicts response to neoadjuvant chemotherapy in triple-negative breast cancer: a systematic review and meta-analysis
    Hamdy A. Azim, Kyrillus S. Shohdy, Hagar Elghazawy, Monica M. Salib, Doaa Almeldin, Loay Kassem
    Biomarkers.2022; 27(8): 764.     CrossRef
  • Determining Factors in the Therapeutic Success of Checkpoint Immunotherapies against PD-L1 in Breast Cancer: A Focus on Epithelial-Mesenchymal Transition Activation
    Mariana Segovia-Mendoza, Susana Romero-Garcia, Cristina Lemini, Heriberto Prado-Garcia, francesca bianchi
    Journal of Immunology Research.2021; 2021: 1.     CrossRef
  • Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
    Sandeep K. Singhal, Jung S. Byun, Samson Park, Tingfen Yan, Ryan Yancey, Ambar Caban, Sara Gil Hernandez, Stephen M. Hewitt, Heike Boisvert, Stephanie Hennek, Mark Bobrow, Md Shakir Uddin Ahmed, Jason White, Clayton Yates, Andrew Aukerman, Rami Vanguri, R
    Communications Biology.2021;[Epub]     CrossRef
  • Relationship Between the Neutrophil to Lymphocyte Ratio, Stromal Tumor-infiltrating Lymphocytes, and the Prognosis and Response to Neoadjuvant Chemotherapy in Triple-negative Breast Cancer
    Jian Pang, Haiyan Zhou, Xue Dong, Shouman Wang, Zhi Xiao
    Clinical Breast Cancer.2021; 21(6): e681.     CrossRef
  • Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial
    Monika Graeser, Friedrich Feuerhake, Oleg Gluz, Valery Volk, Michael Hauptmann, Katarzyna Jozwiak, Matthias Christgen, Sherko Kuemmel, Eva-Maria Grischke, Helmut Forstbauer, Michael Braun, Mathias Warm, John Hackmann, Christoph Uleer, Bahriye Aktas, Claud
    Journal for ImmunoTherapy of Cancer.2021; 9(5): e002198.     CrossRef
  • Clinicopathological and prognostic significance of programmed cell death ligand 1 expression in patients diagnosed with breast cancer: meta-analysis
    M G Davey, É J Ryan, M S Davey, A J Lowery, N Miller, M J Kerin
    British Journal of Surgery.2021; 108(6): 622.     CrossRef
  • INSTIGO Trial: Evaluation of a Plasma Protein Profile as a Predictive Biomarker for Metastatic Relapse of Triple Negative Breast Cancer
    Hugo Veyssière, Sejdi Lusho, Ioana Molnar, Myriam Kossai, Maureen Bernadach, Catherine Abrial, Yannick Bidet, Nina Radosevic-Robin, Xavier Durando
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Inhibitors of PD-1/PD-L1 and ERK1/2 impede the proliferation of receptor positive and triple-negative breast cancer cell lines
    Karen Bräutigam, Elodie Kabore-Wolff, Ahmad Fawzi Hussain, Stephan Polack, Achim Rody, Lars Hanker, Frank Köster
    Journal of Cancer Research and Clinical Oncology.2021; 147(10): 2923.     CrossRef
  • Prognostic Relevance of Neutrophil to Lymphocyte Ratio (NLR) in Luminal Breast Cancer: A Retrospective Analysis in the Neoadjuvant Setting
    Antonino Grassadonia, Vincenzo Graziano, Laura Iezzi, Patrizia Vici, Maddalena Barba, Laura Pizzuti, Giuseppe Cicero, Eriseld Krasniqi, Marco Mazzotta, Daniele Marinelli, Antonella Amodio, Clara Natoli, Nicola Tinari
    Cells.2021; 10(7): 1685.     CrossRef
  • Time-Sequencing of the Neutrophil-to-Lymphocyte Ratio to Predict Prognosis of Triple-Negative Breast Cancer
    Joo-Heung Kim, Nak-Hoon Son, Jun-Sang Lee, Ji-Eun Mun, Jee-Ye Kim, Hyung-Seok Park, Seho Park, Seung-Il Kim, Byeong-Woo Park
    Cancers.2021; 13(14): 3472.     CrossRef
  • Platelet-to-Lymphocyte Ratio Is Associated With Favorable Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer: A Study on 120 Patients
    Sejdi Lusho, Xavier Durando, Marie-Ange Mouret-Reynier, Myriam Kossai, Nathalie Lacrampe, Ioana Molnar, Frederique Penault-Llorca, Nina Radosevic-Robin, Catherine Abrial
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Role of neutrophil-to-lymphocyte ratio as a prognostic biomarker in patients with breast cancer receiving neoadjuvant chemotherapy: a meta-analysis
    Qiong Zhou, Jie Dong, Qingqing Sun, Nannan Lu, Yueyin Pan, Xinghua Han
    BMJ Open.2021; 11(9): e047957.     CrossRef
  • Neutrophil to Lymphocyte Ratio after Treatment Completion as a Potential Predictor of Survival in Patients with Triple-Negative Breast Cancer
    Kwang-Min Kim, Hyang Suk Choi, Hany Noh, In-Jeong Cho, Seung Taek Lim, Jong-In Lee, Airi Han
    Journal of Breast Cancer.2021; 24(5): 443.     CrossRef
  • Tumor Microenvironment Characterization in Breast Cancer Identifies Prognostic and Neoadjuvant Chemotherapy Relevant Signatures
    Fei Ji, Jiao-Mei Yuan, Hong-Fei Gao, Ai-Qi Xu, Zheng Yang, Ci-Qiu Yang, Liu-Lu Zhang, Mei Yang, Jie-Qing Li, Teng Zhu, Min-Yi Cheng, Si-Yan Wu, Kun Wang
    Frontiers in Molecular Biosciences.2021;[Epub]     CrossRef
  • Neutrophil to Lymphocyte Ratio as Prognostic and Predictive Factor in Breast Cancer Patients: A Systematic Review
    Iléana Corbeau, William Jacot, Séverine Guiu
    Cancers.2020; 12(4): 958.     CrossRef
  • A Rosetta Stone for Breast Cancer: Prognostic Value and Dynamic Regulation of Neutrophil in Tumor Microenvironment
    Wei Zhang, Yimin Shen, Huanhuan Huang, Sheng Pan, Jingxin Jiang, Wuzhen Chen, Ting Zhang, Chao Zhang, Chao Ni
    Frontiers in Immunology.2020;[Epub]     CrossRef
  • Perspectives on Triple-Negative Breast Cancer: Current Treatment Strategies, Unmet Needs, and Potential Targets for Future Therapies
    Gagan K. Gupta, Amber L. Collier, Dasom Lee, Richard A. Hoefer, Vasilena Zheleva, Lauren L. Siewertsz van Reesema, Angela M. Tang-Tan, Mary L. Guye, David Z. Chang, Janet S. Winston, Billur Samli, Rick J. Jansen, Emanuel F. Petricoin, Matthew P. Goetz, Ha
    Cancers.2020; 12(9): 2392.     CrossRef
  • Prognostic Role and Clinical Significance of Tumor-Infiltrating Lymphocyte (TIL) and Programmed Death Ligand 1 (PD-L1) Expression in Triple-Negative Breast Cancer (TNBC): A Systematic Review and Meta-Analysis Study
    Parisa Lotfinejad, Mohammad Asghari Jafarabadi, Mahdi Abdoli Shadbad, Tohid Kazemi, Fariba Pashazadeh, Siamak Sandoghchian Shotorbani, Farhad Jadidi Niaragh, Amir Baghbanzadeh, Nafiseh Vahed, Nicola Silvestris, Behzad Baradaran
    Diagnostics.2020; 10(9): 704.     CrossRef
  • Prediction of Late Recurrence and Distant Metastasis in Early-stage Breast Cancer: Overview of Current and Emerging Biomarkers
    A. Gouri, B. Benarba, A. Dekaken, H. Aoures, S. Benharkat
    Current Drug Targets.2020; 21(10): 1008.     CrossRef
  • Prognostic value of neutrophil‐to‐lymphocyte ratio and platelet‐to‐lymphocyte ratio for breast cancer patients: An updated meta‐analysis of 17079 individuals
    Wanying Guo, Xin Lu, Qipeng Liu, Ting Zhang, Peng Li, Weiqiang Qiao, Miao Deng
    Cancer Medicine.2019; 8(9): 4135.     CrossRef
  • Prognostic and clinicopathological value of PD-L1 expression in primary breast cancer: a meta-analysis
    Wenfa Huang, Ran Ran, Bin Shao, Huiping Li
    Breast Cancer Research and Treatment.2019; 178(1): 17.     CrossRef
  • Comparison of Preoperative Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios in Bladder Cancer Patients Undergoing Radical Cystectomy
    Ruiliang Wang, Yang Yan, Shenghua Liu, Xudong Yao
    BioMed Research International.2019; 2019: 1.     CrossRef
  • Immunotherapy in HER2-positive breast cancer: state of the art and future perspectives
    E. Krasniqi, G. Barchiesi, L. Pizzuti, M. Mazzotta, A. Venuti, M. Maugeri-Saccà, G. Sanguineti, G. Massimiani, D. Sergi, S. Carpano, P. Marchetti, S. Tomao, T. Gamucci, R. De Maria, F. Tomao, C. Natoli, N. Tinari, G. Ciliberto, M. Barba, P. Vici
    Journal of Hematology & Oncology.2019;[Epub]     CrossRef
  • Prognostic Implications of PD-L1 Expression in Breast Cancer: Systematic Review and Meta-analysis of Immunohistochemistry and Pooled Analysis of Transcriptomic Data
    Alexios Matikas, Ioannis Zerdes, John Lövrot, François Richard, Christos Sotiriou, Jonas Bergh, Antonios Valachis, Theodoros Foukakis
    Clinical Cancer Research.2019; 25(18): 5717.     CrossRef
  • 11,625 View
  • 571 Download
  • 56 Web of Science
  • 46 Crossref
Close layer
Expression of Immunoproteasome Subunit LMP7 in Breast Cancer and Its Association with Immune-Related Markers
Miseon Lee, In Hye Song, Sun-Hee Heo, Young-Ae Kim, In Ah Park, Won Seon Bang, Hye Seon Park, Gyungyub Gong, Hee Jin Lee
Cancer Res Treat. 2019;51(1):80-89.   Published online February 26, 2018
DOI: https://doi.org/10.4143/crt.2017.500
AbstractAbstract PDFPubReaderePub
Purpose
In the presence of interferon, proteasome subunits are replaced by their inducible counterparts to form an immunoproteasome (IP) plays a key role in generation of antigenic peptides presented by MHC class I molecules, leading to elicitation of a T cell‒mediated immune response. Although the roles of IP in other cancers, and inflammatory diseases have been extensively studied, its significance in breast cancer is unclear.
Materials and Methods
We investigated the expression of LMP7, an IP subunit, and its relationship with immune system components in two breast cancer cohorts.
Results
In 668 consecutive breast cancer cohort, 40% of tumors showed high level of LMP7 expression, and tumors with high expression of LMP7 had more tumor-infiltrating lymphocytes (TILs) in each subtype of breast cancer. In another cohort of 681 triple-negative breast cancer patients cohort, the expression of LMP7 in tumor cells was significantly correlated with the amount of TILs and the expression of interferon-associated molecules (MxA [p < 0.001] and PKR [p < 0.001]), endoplasmic reticulum stress-associated molecules (PERK [p=0.012], p-eIF2a [p=0.001], and XBP1 [p < 0.001]), and damage-associated molecular patterns (HMGN1 [p < 0.001] and HMGB1 [p < 0.001]). Patients with higher LMP7 expression had better disease-free survival outcomes than those with no or low expression in the positive lymph node metastasis group (p=0.041).
Conclusion
Close association between the TIL levels and LMP7 expression in breast cancer indicates that better antigen presentation through greater LMP7 expression might be associated with more TILs.

Citations

Citations to this article as recorded by  
  • Association of Proteasome Activity and Pool Heterogeneity with Markers Determining the Molecular Subtypes of Breast Cancer
    Irina Kondakova, Elena Sereda, Evgeniya Sidenko, Sergey Vtorushin, Valeria Vedernikova, Alexander Burov, Pavel Spirin, Vladimir Prassolov, Timofey Lebedev, Alexey Morozov, Vadim Karpov
    Cancers.2025; 17(1): 159.     CrossRef
  • Multikinase inhibitors modulate non-constitutive proteasome expression in colorectal cancer cells
    Alexander Burov, Ekaterina Grigorieva, Timofey Lebedev, Valeria Vedernikova, Vladimir Popenko, Tatiana Astakhova, Olga Leonova, Pavel Spirin, Vladimir Prassolov, Vadim Karpov, Alexey Morozov
    Frontiers in Molecular Biosciences.2024;[Epub]     CrossRef
  • Upregulation of MHC I antigen processing machinery gene expression in breast cancer cells by Trichostatin A
    A. H. Murtadha, N. A. Sharudin, I. I.M. Azahar, A. T. Che Has, N. F. Mokhtar
    Молекулярная биология.2024; 58(1): 121.     CrossRef
  • Immunoproteasome acted as immunotherapy ‘coffee companion’ in advanced carcinoma therapy
    Shaoyan Shi, Xuehai Ou, Chao Liu, Hao Wen, Ke Jiang
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Immunoediting in acute myeloid leukemia: Reappraising T cell exhaustion and the aberrant antigen processing machinery in leukemogenesis
    Ching-Yun Wang, Shiuan-Chen Lin, Kao-Jung Chang, Han-Ping Cheong, Sin-Rong Wu, Cheng-Hao Lee, Ming-Wei Chuang, Shih-Hwa Chiou, Chih-Hung Hsu, Po-Shen Ko
    Heliyon.2024; 10(21): e39731.     CrossRef
  • ONX0914 inhibition of immunoproteasome subunit LMP7 ameliorates diabetic cardiomyopathy via restraining endothelial–mesenchymal transition
    Mengwen Wang, Yujian Liu, Lei Dai, Xiaodan Zhong, Wenjun Zhang, Yang Xie, Hesong Zeng, Hongjie Wang
    Clinical Science.2023; 137(16): 1297.     CrossRef
  • The dichotomous role of immunoproteasome in cancer: Friend or foe?
    Boya Chen, Haiying Zhu, Bo Yang, Ji Cao
    Acta Pharmaceutica Sinica B.2023; 13(5): 1976.     CrossRef
  • Cancer Immunology: Immune Escape of Tumors—Expression and Regulation of HLA Class I Molecules and Its Role in Immunotherapies
    Yuan Wang, Simon Jasinski-Bergner, Claudia Wickenhauser, Barbara Seliger
    Advances in Anatomic Pathology.2023; 30(3): 148.     CrossRef
  • Increased expression of the immunoproteasome subunits PSMB8 and PSMB9 by cancer cells correlate with better outcomes for triple-negative breast cancers
    Karen Geoffroy, Bruna Araripe Saraiva, Melissa Viens, Delphine Béland, Marie-Claude Bourgeois-Daigneault
    Scientific Reports.2023;[Epub]     CrossRef
  • Adaptation of the Tumor Antigen Presentation Machinery to Ionizing Radiation
    Mi-Heon Lee, Duang Ratanachan, Zitian Wang, Jacob Hack, Lobna Adbulrahman, Nicholas P. Shamlin, Mirna Kalayjian, Jean Philippe Nesseler, Ekambaram Ganapathy, Christine Nguyen, Josephine A. Ratikan, Nicolas A. Cacalano, David Austin, Robert Damoiseaux, Ben
    The Journal of Immunology.2023; 211(4): 693.     CrossRef
  • Upregulation of MHC I Antigen Processing Machinery Gene Expression in Breast Cancer Cells by Trichostatin A
    A. H. Murtadha, N. A. Sharudin, I. I. M. Azahar, A. T. Che Has, N. F. Mokhtar
    Molecular Biology.2023; 57(6): 1212.     CrossRef
  • Emodin alleviates high glucose-induced oxidative stress, inflammation and extracellular matrix accumulation of mesangial cells by the circ_0000064/miR-30c-5p/Lmp7 axis
    Li Sun, Yanquan Han, Chuqiao Shen, Huan Luo, Zhuo Wang
    Journal of Receptors and Signal Transduction.2022; 42(3): 302.     CrossRef
  • Methylation of Immune-Related Genes in Peripheral Blood Leukocytes and Breast Cancer
    Tian Tian, JinMing Fu, DaPeng Li, YuPeng Liu, HongRu Sun, Xuan Wang, XianYu Zhang, Ding Zhang, Ting Zheng, Yashuang Zhao, Da Pang
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Analysis on methylation and expression of PSMB8 and its correlation with immunity and immunotherapy in lung adenocarcinoma
    Tongji Xie, Guangyu Fan, Liling Huang, Ning Lou, Xiaohong Han, Puyuan Xing, Yuankai Shi
    Epigenomics.2022; 14(22): 1427.     CrossRef
  • A few good peptides: MHC class I-based cancer immunosurveillance and immunoevasion
    Devin Dersh, Jaroslav Hollý, Jonathan W. Yewdell
    Nature Reviews Immunology.2021; 21(2): 116.     CrossRef
  • Expression of the immunoproteasome subunit β5i in non-small cell lung carcinomas
    Takayuki Kiuchi, Utano Tomaru, Akihiro Ishizu, Makoto Imagawa, Sari Iwasaki, Akira Suzuki, Noriyuki Otsuka, Yoshihito Ohhara, Ichiro Kinoshita, Yoshihiro Matsuno, Hirotoshi Dosaka-Akita, Masanori Kasahara
    Journal of Clinical Pathology.2021; 74(5): 300.     CrossRef
  • High immunoproteasome concentration in the plasma of patients with newly diagnosed multiple myeloma treated with bortezomib is predictive of longer OS
    Wioletta Breczko, Dorota Lemancewicz, Janusz Dzięcioł, Janusz Kłoczko, Łukasz Bołkun
    Advances in Medical Sciences.2021; 66(1): 21.     CrossRef
  • Methods for the Discovery of Small Molecules to Monitor and Perturb the Activity of the Human Proteasome
    Marianne E Maresh, Andres F Salazar-Chaparro, Darci J Trader
    Future Medicinal Chemistry.2021; 13(2): 99.     CrossRef
  • Immunoproteasome Function in Normal and Malignant Hematopoiesis
    Nuria Tubío-Santamaría, Frédéric Ebstein, Florian H. Heidel, Elke Krüger
    Cells.2021; 10(7): 1577.     CrossRef
  • Integrated genomic analysis of proteasome alterations across 11,057 patients with 33 cancer types: clinically relevant outcomes in framework of 3P medicine
    Na Li, Xianquan Zhan
    EPMA Journal.2021; 12(4): 605.     CrossRef
  • The Functional and Mechanistic Roles of Immunoproteasome Subunits in Cancer
    Satyendra Chandra Tripathi, Disha Vedpathak, Edwin Justin Ostrin
    Cells.2021; 10(12): 3587.     CrossRef
  • The Immunoproteasome: An Emerging Target in Cancer and Autoimmune and Neurological Disorders
    Breanna L. Zerfas, Marianne E. Maresh, Darci J. Trader
    Journal of Medicinal Chemistry.2020; 63(5): 1841.     CrossRef
  • Differential prognostic impact of CD8+ T cells based on human leucocyte antigen I and PD-L1 expression in microsatellite-unstable gastric cancer
    Yoonjin Kwak, Jiwon Koh, Yujun Park, Yun Ji Hong, Kyoung Un Park, Hyung-Ho Kim, Do Joong Park, Sang-Hoon Ahn, Woo Ho Kim, Hye Seung Lee
    British Journal of Cancer.2020; 122(9): 1399.     CrossRef
  • Tradeoff between metabolic i-proteasome addiction and immune evasion in triple-negative breast cancer
    Alaknanda Adwal, Priyakshi Kalita-de Croft, Reshma Shakya, Malcolm Lim, Emarene Kalaw, Lucinda D Taege, Amy E McCart Reed, Sunil R Lakhani, David F Callen, Jodi M Saunus
    Life Science Alliance.2020; 3(7): e201900562.     CrossRef
  • Targeting purine synthesis in ASS1-expressing tumors enhances the response to immune checkpoint inhibitors
    Rom Keshet, Joo Sang Lee, Lital Adler, Muhammed Iraqi, Yarden Ariav, Lisha Qiu Jin Lim, Shaul Lerner, Shiran Rabinovich, Roni Oren, Rotem Katzir, Hila Weiss Tishler, Noa Stettner, Omer Goldman, Hadas Landesman, Sivan Galai, Yael Kuperman, Yuri Kuznetsov,
    Nature Cancer.2020; 1(9): 894.     CrossRef
  • Proteasomes and Several Aspects of Their Heterogeneity Relevant to Cancer
    Alexey V. Morozov, Vadim L. Karpov
    Frontiers in Oncology.2019;[Epub]     CrossRef
  • Protein Barcodes Enable High-Dimensional Single-Cell CRISPR Screens
    Aleksandra Wroblewska, Maxime Dhainaut, Benjamin Ben-Zvi, Samuel A. Rose, Eun Sook Park, El-Ad David Amir, Anela Bektesevic, Alessia Baccarini, Miriam Merad, Adeeb H. Rahman, Brian D. Brown
    Cell.2018; 175(4): 1141.     CrossRef
  • 9,435 View
  • 315 Download
  • 25 Web of Science
  • 27 Crossref
Close layer
Neutropenia during the First Cycle of Induction Chemotherapy Is Prognostic for Poor Survival in Locoregionally Advanced Nasopharyngeal Carcinoma: A Real-World Study in an Endemic Area
Cheng Xu, Shi-Ping Yang, Yuan Zhang, Ling-Long Tang, Guan-Qun Zhou, Xu Liu, Yan-Ping Mao, Rui Guo, Wen-Fei Li, Lei Chen, Ai-Hua Lin, Ying Sun, Jun Ma
Cancer Res Treat. 2018;50(3):777-790.   Published online July 24, 2017
DOI: https://doi.org/10.4143/crt.2017.255
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The purpose of this study was to investigate the effect of neutropenia during the first cycle of induction chemotherapy (IC-1) on survival in locoregionally advanced nasopharyngeal carcinoma (LANPC).
Materials and Methods
Eligible patients (n=545) with LANPC receiving IC+concurrent chemoradiotherapy were included. Based on nadir neutrophil afterIC-1, all patientswere categorized into three groups: no/grade 1-2/grade 3-4 neutropenia. Five-year overall survival (OS) and disease-free survival (DFS) were compared between groups and subgroups stratified by IC regimen. We also explored the occurrence of IC-1–induced myelosuppression events and the minimal value of post-treatment neutrophil-to-lymphocyte ratio (post-NLRmin). Univariate/multivariate analyses were performed to investigate the effect of IC-1–induced neutropenia, timing of neutropenia, number of myelosuppression events, and high post-NLRmin on OS/DFS.
Results
Grade 1-2/grade 3-4 neutropeniawere associatedwith poorer OS/DFS than no neutropenia (all p < 0.05); OS/DFS were not significantly different between patients experiencing grade 1-2 vs. 3-4 neutropenia. Neutropenia had no significant effect on OS/DFS in patients receiving docetaxel–cisplatin–5-fluorouracil (TPF). Grade 1-2 (grade 3-4) neutropenia negatively influenced OS/DFS in patients receiving cisplatin–5-fluorouracil (PF) (PF and docetaxel–cisplatin [TP]; all p < 0.05). Neutropenia, two/three myelosuppression events, and high post-NLRmin (≥ 1.33) was most frequent on days 5-10, second and third week of IC-1, respectively. After adjustment for covariates, IC-1–induced neutropenia, two/three myelosuppression events, and post-NLRmin ≥ 1.33were validated as negative predictors of OS/DFS (all p < 0.05); timing of neutropenia had no significant effect.
Conclusion
Occurrence of neutropenia, number of myelosuppression events, and high post-NLRmin during PF/TP IC-1 have prognostic value for poor survival in LANPC.

Citations

Citations to this article as recorded by  
  • Prospective clinical study of the efficacy and safety of different doses of PEG recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) for preventing leukopenia/neutropenia caused by concurrent chemoradiotherapy for cervical cancer
    Tingting Yu, Yiwei Zhang, Jiawen Li, Zhuo Li, Rui Tong
    Holistic Integrative Oncology.2024;[Epub]     CrossRef
  • Incidence, consequences, and predictors of serious chemotherapy‐induced thrombocytopenia in nasopharyngeal carcinoma
    Lu‐Lu Zhang, Xi Chen, Ying‐Ying Huang, Chi‐Xiong Liang, Meng‐Yun Qiang, Zhuo‐Chen Cai, Ze‐Jiang Zhan, Ying Deng, Jia‐Yu Zhou, Hao‐Yang Huang, Xiang Guo, Xing Lv
    Cancer Medicine.2023; 12(13): 14084.     CrossRef
  • Chinese expert consensus on the application of pegylated recombinant human granulocyte colony‐stimulating factor during concurrent chemoradiotherapy (2023 edition)
    Jun Wang, Baosheng Li
    Precision Radiation Oncology.2023; 7(3): 150.     CrossRef
  • Chinese expert consensus on the application of pegylated recombinant human granulocyte colony‐stimulating factor during concurrent chemoradiotherapy (2020 edition)
    Jun Wang, Baosheng Li
    Precision Radiation Oncology.2021; 5(1): 4.     CrossRef
  • Prognostic value of serum uric acid and tumor response to induction chemotherapy in locally advanced nasopharyngeal carcinoma
    Yuanji Xu, Zijie Wu, Wangzhong Ye, Youping Xiao, Wei Zheng, Qinyan Chen, Penggang Bai, Zhizhong Lin, Chuanben Chen
    BMC Cancer.2021;[Epub]     CrossRef
  • Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma
    Demin Liu, Haojiang Li, Liyang Wu, Shuchao Chen, Tianqiao Zhang, Wenjie Huang, Guangying Ruan, Sai Li, Lizhi Liu, Hongbo Chen
    IEEE Access.2021; 9: 98701.     CrossRef
  • Prognostic value of post-radiotherapy neutrophil-to-lymphocyte ratio in locally advanced nasopharyngeal carcinoma
    Dan Ou, Xiaoshen Wang, Mingyao Wu, Fen Xue, Yujiao Li, Chaosu Hu, Xiayun He
    Strahlentherapie und Onkologie.2020; 196(3): 252.     CrossRef
  • Amelioration of cyclophosphamide-induced myelosuppression during treatment to rats with breast cancer through low-intensity pulsed ultrasound
    Wei Wang, Dong Luo, Junlin Chen, Jinyun Chen, Yi Xia, Wenzhi Chen, Yan Wang
    Bioscience Reports.2020;[Epub]     CrossRef
  • 12,091 View
  • 241 Download
  • 7 Web of Science
  • 8 Crossref
Close layer
Incorporating Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio in Place of Neutrophil Count and Platelet Count Improves Prognostic Accuracy of the International Metastatic Renal Cell Carcinoma Database Consortium Model
Pawel Chrom, Rafal Stec, Lubomir Bodnar, Cezary Szczylik
Cancer Res Treat. 2018;50(1):103-110.   Published online March 3, 2017
DOI: https://doi.org/10.4143/crt.2017.033
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Purpose
The study investigated whether a replacement of neutrophil count and platelet count by neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model would improve its prognostic accuracy.
Materials and Methods
This retrospective analysis included consecutive patients with metastatic renal cell carcinoma treated with first-line tyrosine kinase inhibitors. The IMDC and modified-IMDC models were compared using: concordance index (CI), bias-corrected concordance index (BCCI), calibration plots, the Grønnesby and Borgan test, Bayesian Information Criterion (BIC), generalized R2, Integrated Discrimination Improvement (IDI), and continuous Net Reclassification Index (cNRI) for individual risk factors and the three risk groups.
Results
Three hundred and twenty-one patients were eligible for analyses. The modified-IMDC model with NLR value of 3.6 and PLR value of 157 was selected for comparison with the IMDC model. Both models were well calibrated. All other measures favoured the modified-IMDC model over the IMDC model (CI, 0.706 vs. 0.677; BCCI, 0.699 vs. 0.671; BIC, 2,176.2 vs. 2,190.7; generalized R2, 0.238 vs. 0.202; IDI, 0.044; cNRI, 0.279 for individual risk factors; and CI, 0.669 vs. 0.641; BCCI, 0.669 vs. 0.641; BIC, 2,183.2 vs. 2,198.1; generalized R2, 0.163 vs. 0.123; IDI, 0.045; cNRI, 0.165 for the three risk groups).
Conclusion
Incorporation of NLR and PLR in place of neutrophil count and platelet count improved prognostic accuracy of the IMDC model. These findings require external validation before introducing into clinical practice.

Citations

Citations to this article as recorded by  
  • Correlation of Prognostic Nutritional Index and Systemic Immune-Inflammation Index with the Recurrence and Prognosis in Oral Squamous Cell Carcinoma with the Stage of III/IV
    Manjun Ye, Lixia Zhang
    International Journal of General Medicine.2024; Volume 17: 2289.     CrossRef
  • Evaluating the Prognostic Variables for Overall Survival in Patients with Metastatic Renal Cell Carcinoma: A Meta-Analysis Of 29,366 Patients
    Bruce Li, Swati Sood, Melissa J. Huynh, Nicholas E. Power
    JU Open Plus.2024;[Epub]     CrossRef
  • The relationship between complete blood cell count-derived inflammatory biomarkers and benign prostatic hyperplasia in middle-aged and elderly individuals in the United States: Evidence from NHANES 2001–2008
    Chengdong Shi, Hongliang Cao, Guoqiang Zeng, Lei Yang, Yuantao Wang, Alaa A. A. Aljabali
    PLOS ONE.2024; 19(7): e0306860.     CrossRef
  • Evaluation of prognostic factors for late recurrence in clear cell renal carcinoma: an institutional study
    Diana Voskuil-Galoş, Tudor Călinici, Andra Piciu, Adina Nemeş
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Plasma carnitine, choline, γ-butyrobetaine, and trimethylamine-N-oxide, but not zonulin, are reduced in overweight/obese patients with pre/diabetes or impaired glycemia
    Alia Snouper, Violet Kasabri, Nailya Bulatova, Maysa Suyagh, Monther Sadder, Khaldoun Shnewer, Ismail Yousef
    International Journal of Diabetes in Developing Countries.2023; 43(4): 592.     CrossRef
  • Artificial intelligence-based prediction of overall survival in metastatic renal cell carcinoma
    Ella Barkan, Camillo Porta, Simona Rabinovici-Cohen, Valentina Tibollo, Silvana Quaglini, Mimma Rizzo
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • The Prognostic Value of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio for Small Renal Cell Carcinomas after Image-Guided Cryoablation or Radio-Frequency Ablation
    Aqua Asif, Vinson Wai-Shun Chan, Filzah Hanis Osman, Jasmine Sze-Ern Koe, Alexander Ng, Oliver Edward Burton, Jon Cartledge, Michael Kimuli, Naveen Vasudev, Christy Ralph, Satinder Jagdev, Selina Bhattarai, Jonathan Smith, James Lenton, Tze Min Wah
    Cancers.2023; 15(7): 2187.     CrossRef
  • A meta-analysis of the platelet-lymphocyte ratio: A notable prognostic factor in renal cell carcinoma
    Xiao Zhou, Guangcheng Luo
    The International Journal of Biological Markers.2022; 37(2): 123.     CrossRef
  • Prognostic Role of Systemic Inflammatory Markers in Patients Undergoing Surgical Resection for Oral Squamous Cell Carcinoma
    Uiju Cho, Yeoun-Eun Sung, Min-Sik Kim, Youn-Soo Lee
    Biomedicines.2022; 10(6): 1268.     CrossRef
  • Prognostic value of glucose to lymphocyte ratio for patients with renal cell carcinoma undergoing laparoscopic nephrectomy: A multi-institutional, propensity score matching cohort study
    Jinliang Ni, Ziye Li, Wei Song, Houliang Zhang, Yidi Wang, Yifan Zhang, Haipeng Zhang, Guangcan Yang, Jun Xie, Keyi Wang, Bo Peng, Weipu Mao
    Frontiers in Surgery.2022;[Epub]     CrossRef
  • Associations between Pretreatment Body Composition Features and Clinical Outcomes among Patients with Metastatic Clear Cell Renal Cell Carcinoma Treated with Immune Checkpoint Blockade
    Yasser Ged, Alejandro Sanchez, Sujata Patil, Andrea Knezevic, Emily Stein, Stacey Petruzella, Kate Weiss, Cihan Duzgol, Joshua Chaim, Oguz Akin, Marina Mourtzakis, Michael T. Paris, Jessica Scott, Fengshen Kuo, Ritesh Kotecha, A. Ari Hakimi, Chung-Han Lee
    Clinical Cancer Research.2022; 28(23): 5180.     CrossRef
  • Exploratory Analysis of the Platelet-to-Lymphocyte Ratio Prognostic Value in the Adjuvant Renal Cell Cancer Setting
    Anup Patel, Alain Ravaud, Robert J Motzer, Allan J Pantuck, Michael Staehler, Bernard Escudier, Jean-François Martini, Mariajose Lechuga, Xun Lin, Daniel J George
    Future Oncology.2021; 17(4): 403.     CrossRef
  • Preoperative anaemia and thrombocytosis predict adverse prognosis in non‐metastatic renal cell carcinoma with tumour thrombus
    Ruotao Xiao, Chuxiao Xu, Wei He, Lei Liu, Hongxian Zhang, Cheng Liu, Lulin Ma
    BMC Urology.2021;[Epub]     CrossRef
  • Real-World Outcomes in Patients with Metastatic Renal Cell Carcinoma According to Risk Factors: The STAR-TOR Registry
    Arne Strauss, Marianne Schmid, Michael Rink, Michael Moran, Stephan Bernhardt, Marcus Hubbe, Lothar Bergmann, Katrin Schlack, Martin Boegemann
    Future Oncology.2021; 17(18): 2325.     CrossRef
  • Systemic Inflammation Response Index is an Independent Prognostic Indicator for Patients with Renal Cell Carcinoma Undergoing Laparoscopic Nephrectomy: A Multi-Institutional Cohort Study
    Weipu Mao, Si Sun, Ting He, Xin Jin, Jianping Wu, Bin Xu, Guangyuan Zhang, Keyi Wang, Ming Chen
    Cancer Management and Research.2021; Volume 13: 6437.     CrossRef
  • Can Systemic Immune-Inflammation Index Create a New Perspective for the IMDC Scoring System in Patients with Metastatic Renal Cell Carcinoma?
    Fatma Bugdayci Basal, Cengiz Karacin, Irem Bilgetekin, Omur Berna Oksuzoglu
    Urologia Internationalis.2021; 105(7-8): 666.     CrossRef
  • Post-surgical Regression of Thoracic Metastases After Salvage Lobectomy for Recurrent Renal Cell Carcinoma
    Alessia Stanzi, Elena Verzoni, Margherita Ruggirello, Luigi Rolli, Ugo Pastorino
    Clinical Genitourinary Cancer.2020; 18(3): e284.     CrossRef
  • Peking University Third Hospital score: a comprehensive system to predict intra-operative blood loss in radical nephrectomy and thrombectomy
    Zhuo Liu, Xun Zhao, Hong-Xian Zhang, Run-Zhuo Ma, Li-Wei Li, Shi-Ying Tang, Guo-Liang Wang, Shu-Dong Zhang, Shu-Min Wang, Xiao-Jun Tian, Lu-Lin Ma
    Chinese Medical Journal.2020; 133(10): 1166.     CrossRef
  • Prognostic Value of Systemic Inflammatory Biomarkers in Patients with Metastatic Renal Cell Carcinoma
    Guilherme Nader Marta, Pedro Isaacsson Velho, Renata R. C. Bonadio, Mirella Nardo, Sheila F. Faraj, Manoel Carlos L. de Azevedo Souza, David Q. B. Muniz, Diogo Assed Bastos, Carlos Dzik
    Pathology & Oncology Research.2020; 26(4): 2489.     CrossRef
  • The Clinical Significance of Routine Risk Categorization in Metastatic Renal Cell Carcinoma and its Impact on Treatment Decision-Making: A Systematic Review
    Shouki Bazarbashi, Abdullah Alsharm, Faisal Azam, Hazem El Ashry, Jamal Zekri
    Future Oncology.2020; 16(34): 2879.     CrossRef
  • Patient selection and risk factors in the changing treatment landscape of metastatic renal cell carcinoma
    Ehab Abdou, Ravi M. Pedapenki, Mohamed Abouagour, Abdul R. Zar, Emad Dawoud, Dalia Elshourbagy, Humaid O. Al-Shamsi, Enrique Grande
    Expert Review of Anticancer Therapy.2020; 20(10): 831.     CrossRef
  • Neutrophil-to-Lymphocyte Ratio as a Prognostic Factor of Disease-free Survival in Postnephrectomy High-risk Locoregional Renal Cell Carcinoma: Analysis of the S-TRAC Trial
    Anup Patel, Alain Ravaud, Robert J. Motzer, Allan J. Pantuck, Michael Staehler, Bernard Escudier, Jean-François Martini, Mariajose Lechuga, Xun Lin, Daniel J. George
    Clinical Cancer Research.2020; 26(18): 4863.     CrossRef
  • External validation of the systemic immune-inflammation index as a prognostic factor in metastatic renal cell carcinoma and its implementation within the international metastatic renal cell carcinoma database consortium model
    Pawel Chrom, Jakub Zolnierek, Lubomir Bodnar, Rafal Stec, Cezary Szczylik
    International Journal of Clinical Oncology.2019; 24(5): 526.     CrossRef
  • Assessing Outcomes and Prognostic Factors for First-Line Therapy in Elderly Patients With Metastatic Renal Cell Carcinoma: Real-Life Data From a Single United Kingdom Institution
    Mario Uccello, Tasnim Alam, Haider Abbas, Ajith Nair, Jennifer Paskins, Guy Faust
    Clinical Genitourinary Cancer.2019; 17(3): e658.     CrossRef
  • Towards individualized therapy for metastatic renal cell carcinoma
    Ritesh R. Kotecha, Robert J. Motzer, Martin H. Voss
    Nature Reviews Clinical Oncology.2019; 16(10): 621.     CrossRef
  • The impact of neutrophil-to-lymphocyte, platelet-to-lymphocyte and haemoglobin-to-platelet ratio on localised renal cell carcinoma oncologic outcomes
    S. Albisinni, D. Pretot, W. Al Hajj Obeid, F. Aoun, T. Quackels, A. Peltier, T. Roumeguère
    Progrès en Urologie.2019; 29(8-9): 423.     CrossRef
  • Prognostic Significance of Systemic Inflammatory Response in Patients with Synchronous and Metachronous Metastatic Renal Cell Carcinoma Receiving First-Line Tyrosine Kinase Inhibitors
    Joongwon Choi, Tae Jin Kim, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Soo Jeon, Hyun Moo Lee, Han Yong Choi, Minyong Kang, Seong Il Seo
    The Korean Journal of Urological Oncology.2019; 17(3): 150.     CrossRef
  • The Role of Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Platelets in the Prognosis of Metastatic Renal Cell Carcinoma
    Joanna Huszno, Zofia Kolosza, Jolanta Mrochem-Kwarciak, Tomasz Rutkowski, Krzysztof Skladowski
    Oncology.2019; 97(1): 7.     CrossRef
  • Platelet-to-lymphocyte ratio in advanced Cancer: Review and meta-analysis
    Bo Li, Pingting Zhou, Yujie Liu, Haifeng Wei, Xinghai Yang, Tianrui Chen, Jianru Xiao
    Clinica Chimica Acta.2018; 483: 48.     CrossRef
  • Combined neutrophil/platelet/lymphocyte/differentiation score predicts chemosensitivity in advanced gastric cancer
    Zhenhua Huang, Yantan Liu, Chen Yang, Xiaoyin Li, Changqie Pan, Jinjun Rao, Nailin Li, Wangjun Liao, Li Lin
    BMC Cancer.2018;[Epub]     CrossRef
  • The clinical use of the platelet to lymphocyte ratio and lymphocyte to monocyte ratio as prognostic factors in renal cell carcinoma: a systematic review and meta-analysis
    Xuemin Wang, Shiqiang Su, Yuanshan Guo
    Oncotarget.2017; 8(48): 84506.     CrossRef
  • 12,020 View
  • 210 Download
  • 29 Web of Science
  • 31 Crossref
Close layer
Expression of Myxovirus Resistance A (MxA) Is Associated with Tumor-Infiltrating Lymphocytes in Human Epidermal Growth Factor Receptor 2 (HER2)–Positive Breast Cancers
So Jeong Lee, Cheong-Soo Hwang, Young-Keum Kim, Hyun Jung Lee, Sang-Jeong Ahn, Nari Shin, Jung Hee Lee, Dong Hoon Shin, Kyung Un Choi, Do Youn Park, Chang Hun Lee, Gi Young Huh, Mi Young Sol, Hee Jin Lee, Gyungyub Gong, Jee Yeon Kim, Ahrong Kim
Cancer Res Treat. 2017;49(2):313-321.   Published online July 7, 2016
DOI: https://doi.org/10.4143/crt.2016.098
AbstractAbstract PDFPubReaderePub
Purpose
The prognostic significance of tumor-infiltrating lymphocytes (TILs) has been determined in breast cancers. Interferons can affect T-cell activity through direct and indirect mechanisms. Myxovirus resistance A (MxA) is an excellent marker of interferon activity. Here,we evaluated TILs and MxA expression in human epidermal growth factor receptor 2 (HER2)–positive breast cancers.
Materials and Methods
Ninety cases of hormone receptor (HR)+/HER2+ tumors and 78 cases of HR–/HER2+ tumors were included. The TILs level was assessed using hematoxylin and eosin–stained full face sections, and MxA expressionwas evaluated by immunohistochemistrywith a tissue microarray.
Results
MxA protein expression was significantly higher in tumors with high histologic grade (p=0.023) and high levels of TILs (p=0.002). High levels of TILs were correlated with high histological grade (p=0.001), negative lymphovascular invasion (p=0.007), negative lymph node metastasis (p=0.007), absence of HR expression (p < 0.001), abundant tertiary lymphoid structures (TLSs) around ductal carcinoma in situ (p=0.018), and abundant TLSs around the invasive component (p < 0.001). High levels of TILs were also associated with improved disease-free survival, particularly in HR–/HER2+ breast cancers. However, MxA was not a prognostic factor.
Conclusion
High expression of MxA in tumor cells was associated with high levels of TILs in HER2-positive breast cancers. Additionally, a high level of TILs was a prognostic factor for breast cancer, whereas the level of MxA expression had no prognostic value.

Citations

Citations to this article as recorded by  
  • Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors
    Mart van Rijthoven, Simon Obahor, Fabio Pagliarulo, Maries van den Broek, Peter Schraml, Holger Moch, Jeroen van der Laak, Francesco Ciompi, Karina Silina
    Communications Medicine.2024;[Epub]     CrossRef
  • The roles of tertiary lymphoid structures in chronic diseases
    Yuki Sato, Karina Silina, Maries van den Broek, Kiyoshi Hirahara, Motoko Yanagita
    Nature Reviews Nephrology.2023; 19(8): 525.     CrossRef
  • NFIC1 suppresses migration and invasion of breast cancer cells through interferon-mediated Jak-STAT pathway
    Jing Zhang, Mingyue Fan, Chanjuan Jin, Zhaoying Wang, Yutong Yao, Yueru Shi, Xin Hu, Youzhong Wan
    Archives of Biochemistry and Biophysics.2022; 727: 109346.     CrossRef
  • Low MxA Expression Predicts Better Immunotherapeutic Outcomes in Glioblastoma Patients Receiving Heat Shock Protein Peptide Complex 96 Vaccination
    Yi Wang, Chunzhao Li, Xiaohan Chi, Xijian Huang, Hua Gao, Nan Ji, Yang Zhang
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Myxovirus resistance 1 (MX1) is an independent predictor of poor outcome in invasive breast cancer
    Abrar I. Aljohani, Chitra Joseph, Sasagu Kurozumi, Omar J. Mohammed, Islam M. Miligy, Andrew R. Green, Emad A. Rakha
    Breast Cancer Research and Treatment.2020; 181(3): 541.     CrossRef
  • Expression of Immunoproteasome Subunit LMP7 in Breast Cancer and Its Association with Immune-Related Markers
    Miseon Lee, In Hye Song, Sun-Hee Heo, Young-Ae Kim, In Ah Park, Won Seon Bang, Hye Seon Park, Gyungyub Gong, Hee Jin Lee
    Cancer Research and Treatment.2019; 51(1): 80.     CrossRef
  • Grade II/III Glioma Microenvironment Mining and Its Prognostic Merit
    Jiawei Chen, Chongxian Hou, Peng Wang, Yong Yang, Dong Zhou
    World Neurosurgery.2019; 132: e76.     CrossRef
  • Programmed death-ligand 1 (PD-L1) expression in tumour cell and tumour infiltrating lymphocytes of HER2-positive breast cancer and its prognostic value
    Ahrong Kim, So Jeong Lee, Young Keum Kim, Won Young Park, Do Youn Park, Jee Yeon Kim, Chang Hun Lee, Gyungyub Gong, Gi Yeong Huh, Kyung Un Choi
    Scientific Reports.2017;[Epub]     CrossRef
  • 11,610 View
  • 273 Download
  • 8 Web of Science
  • 8 Crossref
Close layer
Comparison of Total Body Irradiation (TBI) Conditioning with Non-TBI for Autologous Stem Cell Transplantation in Newly Diagnosed or Relapsed Mature T- and NK-Cell Non-Hodgkin Lymphoma
Chi Hoon Maeng, Young Hyeh Ko, Do Hoon Lim, Eun Suk Kang, Joon Young Choi, Won Seog Kim, Seok Jin Kim
Cancer Res Treat. 2017;49(1):92-103.   Published online May 9, 2016
DOI: https://doi.org/10.4143/crt.2015.476
AbstractAbstract PDFPubReaderePub
Purpose
This retrospective study was conducted for comparison of survival outcomes and toxicities of autologous stem cell transplantation (ASCT) based on the use of total body irradiation (TBI) as a part of the conditioning regimen in patients with mature T- and natural killer (NK)-cell lymphomas.
Materials and Methods
Patients who underwent ASCT in the upfront or salvage setting between January 2000 and December 2013 were analyzed. Patients were dichotomized according to the TBI group (n=38) and non-TBI group (n=60) based on the type of conditioning regimen for ASCT.
Results
Patients with responsive disease underwent upfront ASCT (TBI, n=16; non-TBI, n=29) whereas patients with refractory disease (TBI, n=9; non-TBI, n=12) or relapsed disease (TBI, n=13; non-TBI, n=19) underwent ASCT after salvage treatment. Hematologic and non-hematologic toxicities were manageable, and the median cumulative toxicity score according to Seattle criteria was estimated as 2 (range, 0 to 7) in both groups. No significant difference in 100-day mortality was observed between the TBI (13%, 5/38) and non-TBI (12%, 12/60) groups, and most deaths were related to disease progression. There was no difference in overall and progression-free survival; however, the TBI group showed a trend of better survival in upfront and salvage ASCT than the non-TBI group. However, patients with refractory disease showed the worst outcome regardless of the use of TBI. Patients who showed complete response before ASCT showed better progression-free survival than thosewho showed partial response.
Conclusion
TBI could be used as an effective part of conditioning for ASCT in patients with mature T- and NK-cell lymphomas.

Citations

Citations to this article as recorded by  
  • Whole body irradiation with intensity-modulated helical tomotherapy prior to haematopoietic stem cell transplantation: analysis of organs at risk by dose and its effect on blood kinetics
    Mümtaz Köksal, Jonathan Baumert, Danny Jazmati, Felix Schoroth, Stephan Garbe, David Koch, Davide Scafa, Gustavo R. Sarria, Christina Leitzen, Gregor Massoth, Achilles Delis, Annkristin Heine, Tobias Holderried, Peter Brossart, Thomas Müdder, Leonard C. S
    Journal of Cancer Research and Clinical Oncology.2023; 149(10): 7007.     CrossRef
  • The impacts of total body irradiation on umbilical cord blood hematopoietic stem cell transplantation
    Hao Wang, Kristin N. Berger, Elizabeth L. Miller, Wei Fu, Larisa Broglie, Frederick D. Goldman, Heiko Konig, Su Jin Lim, Arthur S. Berg, Julie-An Talano, Melanie A. Comito, Sherif S. Farag, Jeffrey J. Pu
    Therapeutic Advances in Hematology.2023;[Epub]     CrossRef
  • Helical versus static approaches to delivering tomotherapy to the junctional target for patients taller than 135 cm undergoing total body irradiation
    Mümtaz Köksal, Jonathan Baumert, Felix Schoroth, Thomas Müdder, Davide Scafa, David Koch, Christina Leitzen, Gustavo R. Sarria, Leonard C. Schmeel, Frank A. Giordano
    European Journal of Medical Research.2022;[Epub]     CrossRef
  • National survey of myeloablative total body irradiation prior to hematopoietic stem cell transplantation in Japan: survey of the Japanese Radiation Oncology Study Group (JROSG)
    Naoya Ishibashi, Toshinori Soejima, Hiroki Kawaguchi, Takeshi Akiba, Masatoshi Hasegawa, Kouichi Isobe, Hitoshi Ito, Michiko Imai, Yasuo Ejima, Masaharu Hata, Keisuke Sasai, Emiko Shimoda, Toshiya Maebayashi, Masahiko Oguchi, Tetsuo Akimoto
    Journal of Radiation Research.2018; 59(4): 477.     CrossRef
  • 10,093 View
  • 188 Download
  • 4 Web of Science
  • 4 Crossref
Close layer
Systemic Inflammatory Response Markers and CA-125 Levels in Ovarian Clear Cell Carcinoma: A Two Center Cohort Study
Hee Seung Kim, Hwa-Young Choi, Maria Lee, Dong Hoon Suh, Kidong Kim, Jae Hong No, Hyun Hoon Chung, Yong Beom Kim, Yong Sang Song
Cancer Res Treat. 2016;48(1):250-258.   Published online March 6, 2015
DOI: https://doi.org/10.4143/crt.2014.324
AbstractAbstract PDFPubReaderePub
Purpose
We compared the predictive and prognostic values of leukocyte differential counts, systemic inflammatory (SIR) markers and cancer antigen 125 (CA-125) levels, and identified the most useful marker in patients with ovarian clear cell carcinoma (OCCC).
Materials and Methods
The study included 109 patients with OCCC who did not have any inflammatory conditions except endometriosis, and underwent primary debulking surgery between 1997 and 2012. Leukocyte differential counts (neutrophil, lymphocyte, monocyte, eosinophil, basophil, and platelet), SIR markers including neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratio (PLR), and CA-125 levels were estimated to select potential markers for clinical outcomes.
Results
Among potential markers (neutrophil, monocyte, platelet, NLR, MLR, PLR, and CA-125 levels) selected by stepwise comparison, CA-125 levels were best at predicting advanced stage disease, suboptimal debulking and platinum-resistance (cut-off values, ≥ 46.5, ≥ 11.45, and ≥ 66.4 U/mL; accuracies, 69.4%, 78.7%, and 68.5%) while PLR ≥ 205.4 predicted noncomplete response (CR; accuracy, 71.6%) most accurately. Moreover, PLR < 205.4 was an independent factor for the reduced risk of non-CR (adjusted odds ratio, 0.17; 95% confidence interval [CI], 0.04 to 0.69), and NLR < 2.8 was a favorable factor for improved progression-free survival (PFS; adjusted hazard ratio, 0.49; 95% CI, 0.25 to 0.99) despite lack of a marker for overall survival among the potential markers.
Conclusion
CA-125 levels may be the most useful marker for predicting advanced-stage disease. Suboptimal debulking and platinum-resistance, and PLR and NLR may be most effective to predict non-CR and PFS in patients with OCCC.

Citations

Citations to this article as recorded by  
  • Ovarian clear cell carcinoma: open questions on the management and treatment algorithm
    Roberta Rosso, Margherita Turinetto, Fulvio Borella, Nicolas Chopin, Pierre Meeus, Alexandra Lainè, Isabelle Ray-Coquard, Olivia Le Saux, Domenico Ferraioli
    The Oncologist.2025;[Epub]     CrossRef
  • Correlation between pre-operative platelets count and serum cancer antigen-125 level in epithelial ovarian carcer
    Justina Omoikhefe Alegbeleye, Celestine Osita John
    Indian Journal of Obstetrics and Gynecology Research.2024; 11(1): 17.     CrossRef
  • Trends in survival of ovarian clear cell carcinoma patients from 2000 to 2015
    Bing-Qian Tian, Shu-Wen Wang, Jing-Ying Xu, San-Gang Wu, Juan Zhou
    Frontiers in Oncology.2024;[Epub]     CrossRef
  • Prognostic value of systemic inflammation response indexes obtained from the complete blood count in patients treated for advanced ovarian carcinoma in front line
    Jaime Espinós, José Manuel Aramendía, Antonio González-Martín, Marta Santisteban, Luisa Sánchez, Ángel Vizcay, José Ángel Mínguez, Juan Luis Alcázar
    Clinical and Translational Oncology.2024; 26(12): 3211.     CrossRef
  • The prognostic and clinical value of neutrophil-to-lymphocyte ratio (NLR) in ovarian cancer: A systematic review and meta-analysis
    Zihan Zhang, Jinghe Lang
    Journal of Medical Biochemistry.2024; 43(4): 323.     CrossRef
  • Combined use of CA125, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio for the diagnosis of borderline and malignant epithelial ovarian tumors
    Ke Huang, Shengjie Xu, Jiatong Wang, Lili Ge, Juan Xu, Xuemei Jia
    Journal of Ovarian Research.2023;[Epub]     CrossRef
  • Independent predictive value of blood inflammatory composite markers in ovarian cancer: recent clinical evidence and perspective focusing on NLR and PLR
    Chuan-long Zhang, Xiao-chen Jiang, Yi Li, Xue Pan, Meng-qi Gao, Yan Chen, Bo Pang
    Journal of Ovarian Research.2023;[Epub]     CrossRef
  • Trends in Systemic Inflammatory Reaction (SIR) during Paclitaxel and Carboplatin Chemotherapy in Women Suffering from Epithelial Ovarian Cancer
    Michal Mleko, Elzbieta Pluta, Kazimierz Pitynski, Maciej Bodzek, Andrzej Kałamacki, Dorota Kiprian, Tomasz Banas
    Cancers.2023; 15(14): 3607.     CrossRef
  • Research Progress of the Relationship between Peripheral Blood Indexes and the Diagnosis, Treatment and Prognosis of Ovarian Cancer
    洁 严
    Advances in Clinical Medicine.2023; 13(11): 17362.     CrossRef
  • Diagnostic significance of neutrophil to lymphocyte ratio in endometriosis: a systematic review and meta-analysis
    Fatemeh Tabatabaei, Hossein Tahernia, Arshin Ghaedi, Aida Bazrgar, Shokoufeh Khanzadeh
    BMC Women's Health.2023;[Epub]     CrossRef
  • Comparison of Neutrophil Lymphocyte Ratio and Platelet Lymphocyte Ratio levels in ovarian cyst among epithelial ovarian cancer patients at RSUP H. Adam Malik Medan, Indonesia
    Mega Sari Dewi, Roy Yustin Simanjuntak, Letta Sari Lintang, Muhammad Fahdhy, Deri Edianto, Makmur Sitepu
    Majalah Obstetri & Ginekologi.2023; 31(3): 117.     CrossRef
  • The role of IL-6/JAK2/STAT3 signaling pathway in cancers
    Bei Huang, Xiaoling Lang, Xihong Li
    Frontiers in Oncology.2022;[Epub]     CrossRef
  • Evaluation of CA-125 Biomarker in Acute Appendicitis Patients: Correlation with Clinical Symptoms and Lab Results
    Mojtaba Ahmadinejad, Seyed A. Hashemi, Alireza Shirzadi, Ali Soltanian, Jafar Ashrafi, Kourosh Kabir, Mahla Alizadeh
    The Open Public Health Journal.2021; 14(1): 162.     CrossRef
  • The Use of Platelet/Lymphocyte Ratio and Cancer Antigen 125 Combined with Magnetic Resonance Diffusion-Weighted Imaging in Diagnosis of Recurrent Ovarian Cancer and Neuropathic Pain
    Na Wang, Cuiping Li, Yujie Yang, Yu Guan, Fengjiao Wang, Yan Wang, Wei Zhao
    World Neurosurgery.2021; 149: 502.     CrossRef
  • Role of Systemic Inflammatory Reaction in Female Genital Organ Malignancies – State of the Art
    Michal Mleko, Kazimierz Pitynski, Elzbieta Pluta, Aleksandra Czerw, Katarzyna Sygit, Beata Karakiewicz, Tomasz Banas
    Cancer Management and Research.2021; Volume 13: 5491.     CrossRef
  • The diagnostic value of the combination of hemoglobin, CA199, CA125, and HE4 in endometriosis
    Ting Chen, Jia‐Ling Wei, Ting Leng, Fei Gao, Shun‐yu Hou
    Journal of Clinical Laboratory Analysis.2021;[Epub]     CrossRef
  • Role of Circulating Biomarkers in Platinum-Resistant Ovarian Cancer
    Carolina Maria Sassu, Innocenza Palaia, Serena Maria Boccia, Giuseppe Caruso, Giorgia Perniola, Federica Tomao, Violante Di Donato, Angela Musella, Ludovico Muzii
    International Journal of Molecular Sciences.2021; 22(24): 13650.     CrossRef
  • Prognostic significance of preoperative circulating FAR and FCI scores in patients with ovarian cancer
    Huige Wang, Yanjun Shen, Xiaoyan Ding, Yongfen Ding, Ling Cheng, Juan Lai
    Clinica Chimica Acta.2020; 509: 252.     CrossRef
  • Serum D-dimer, albumin and systemic inflammatory response markers in ovarian clear cell carcinoma and their prognostic implications
    Wei Chen, Siyuan Zhong, Boer Shan, Shuling Zhou, Xiaohua Wu, Huijuan Yang, Shuang Ye
    Journal of Ovarian Research.2020;[Epub]     CrossRef
  • Preoperative neutrophil-to-lymphocyte ratio predicts 30 day postoperative morbidity and survival after primary surgery for ovarian cancer
    Julie My Van Nguyen, Sarah Elizabeth Ferguson, Marcus Q Bernardini, Taymaa May, Stephane Laframboise, Liat Hogen, Geneviève Bouchard-Fortier
    International Journal of Gynecological Cancer.2020; 30(9): 1378.     CrossRef
  • Sarcopenia: Clinical implications in ovarian cancer, diagnosis, etiology, and management
    Aeran Seol, Se Ik Kim, Yong Sang Song
    Sports Medicine and Health Science.2020; 2(4): 202.     CrossRef
  • Associations between Blood Cell Profiles and Primary Open-Angle Glaucoma: A Retrospective Case-Control Study
    Binghua Tang, Shengjie Li, Jianping Han, Wenjun Cao, Xinghuai Sun
    Ophthalmic Research.2020; 63(4): 413.     CrossRef
  • Prognostic value of neutrophil-to-lymphocyte ratio in early-stage ovarian clear-cell carcinoma
    Kosuke Yoshida, Nobuhisa Yoshikawa, Akira Shirakawa, Kaoru Niimi, Shiro Suzuki, Hiroaki Kajiyama, Fumitaka Kikkawa
    Journal of Gynecologic Oncology.2019;[Epub]     CrossRef
  • Combined score of pretreatment platelet count and CA125 level (PLT-CA125) stratified prognosis in patients with FIGO stage IV epithelial ovarian cancer
    Jie-Ping Chen, Qi-Dan Huang, Ting Wan, Hua Tu, Hai-Feng Gu, Jun-Ya Cao, Ji-Hong Liu
    Journal of Ovarian Research.2019;[Epub]     CrossRef
  • Pretreatment platelet‐to‐lymphocyte ratio is associated with the response to first‐line chemotherapy and survival in patients with metastatic gastric cancer
    Jin Wang, Jinglei Qu, Zhi Li, Xiaofang Che, Jing Liu, Yuee Teng, Bo Jin, Mingfang Zhao, Yunpeng Liu, Xiujuan Qu
    Journal of Clinical Laboratory Analysis.2018;[Epub]     CrossRef
  • Comparison of clinical utility between neutrophil count and neutrophil–lymphocyte ratio in patients with ovarian cancer: a single institutional experience and a literature review
    Naoko Komura, Seiji Mabuchi, Eriko Yokoi, Katsumi Kozasa, Hiromasa Kuroda, Tomoyuki Sasano, Yuri Matsumoto, Tadashi Kimura
    International Journal of Clinical Oncology.2018; 23(1): 104.     CrossRef
  • Prognostic roles of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in ovarian cancer: a meta-analysis of retrospective studies
    Zhe Zhao, Xinrui Zhao, Jingjing Lu, Jing Xue, Peishu Liu, Hongluan Mao
    Archives of Gynecology and Obstetrics.2018; 297(4): 849.     CrossRef
  • The Predictive Value of Inflammation-Related Peripheral Blood Measurements in Cancer Staging and Prognosis
    Joanna L. Sylman, Annachiara Mitrugno, Michelle Atallah, Garth W. Tormoen, Joseph J. Shatzel, Samuel Tassi Yunga, Todd H. Wagner, John T. Leppert, Parag Mallick, Owen J. T. McCarty
    Frontiers in Oncology.2018;[Epub]     CrossRef
  • Analysis of preoperative blood platelet parameters in terms of diversity of epithelial ovarian cancer
    Katarzyna Bednarska, Ewa Król, Ewa Głowacka, Hanna Romanowicz, Krzysztof Szyłło, Magdalena Klink, Zofia Sułowska, Marek Nowak
    Medicine.2018; 97(12): e0180.     CrossRef
  • Inflammatory Indexes as Prognostic and Predictive Factors in Ovarian Cancer Treated with Chemotherapy Alone or Together with Bevacizumab. A Multicenter, Retrospective Analysis by the MITO Group (MITO 24)
    Alberto Farolfi, Micaela Petrone, Emanuela Scarpi, Valentina Gallà, Filippo Greco, Claudia Casanova, Lucia Longo, Gennaro Cormio, Michele Orditura, Alessandra Bologna, Laura Zavallone, Jole Ventriglia, Elisena Franzese, Vera Loizzi, Donatella Giardina, Ev
    Targeted Oncology.2018; 13(4): 469.     CrossRef
  • Prognostic Value of Serum CA19-9 and Perioperative CA-125 Levels in Ovarian Clear Cell Carcinoma
    Jun Zhu, Long Jiang, Hao Wen, Rui Bi, Xiaohua Wu, Xingzhu Ju
    International Journal of Gynecological Cancer.2018; 28(6): 1108.     CrossRef
  • Prognostic Role of Neutrophil to Lymphocyte Ratio in Ovarian Cancer: A Meta-Analysis
    Gaowen Chen, Lin Zhu, Yulu Yang, Yusheng Long, Xiangyuan Li, Yifeng Wang
    Technology in Cancer Research & Treatment.2018;[Epub]     CrossRef
  • Preoperative multiplication of neutrophil and monocyte counts as a prognostic factor in epithelial ovarian cancer
    E Sun Paik, Minhee Shim, Hyun Jin Choi, Yoo-Young Lee, Tae-Joong Kim, Chel Hun Choi, Jeong-Won Lee, Byoung-Gie Kim, Duk-Soo Bae
    Cancer Biomarkers.2017; 17(4): 419.     CrossRef
  • Is the neutrophil-to-lymphocyte ratio prognostic of survival outcomes in gynecologic cancers? A systematic review and meta-analysis
    Josee-Lyne Ethier, Danielle N Desautels, Arnoud J Templeton, Amit Oza, Eitan Amir, Stephanie Lheureux
    Gynecologic Oncology.2017; 145(3): 584.     CrossRef
  • The diagnostic efficacy of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in ovarian cancer
    Anastasia Prodromidou, Panagiotis Andreakos, Charalampos Kazakos, Dimitrios Eftimios Vlachos, Despina Perrea, Vasilios Pergialiotis
    Inflammation Research.2017; 66(6): 467.     CrossRef
  • The value of the combination of hemoglobin, albumin, lymphocyte and platelet in predicting platinum-based chemoradiotherapy response in male patients with esophageal squamous cell carcinoma
    Lihong Cong, Likuan Hu
    International Immunopharmacology.2017; 46: 75.     CrossRef
  • Elevated plasma fibrinogen levels and prognosis of epithelial ovarian cancer: a cohort study and meta-analysis
    Yanlin Luo, Hee Seung Kim, Miseon Kim, Maria Lee, Yong Sang Song
    Journal of Gynecologic Oncology.2017;[Epub]     CrossRef
  • Adipose Stromal Cells from Visceral and Subcutaneous Fat Facilitate Migration of Ovarian Cancer Cells via IL-6/JAK2/STAT3 Pathway
    Boyun Kim, Hee Seung Kim, Soochi Kim, Guy Haegeman, Benjamin K. Tsang, Danny N. Dhanasekaran, Yong Sang Song
    Cancer Research and Treatment.2017; 49(2): 338.     CrossRef
  • Prognostic significance and predictors of the system inflammation score in ovarian clear cell carcinoma
    Hongwei Zhang, Jiaqi Lu, Yingying Lu, Jiayi Zhou, Zehua Wang, Haiou Liu, Congjian Xu, Renato Franco
    PLOS ONE.2017; 12(5): e0177520.     CrossRef
  • Neutrophil-to-Lymphocyte Ratio Is a Potential Prognostic Biomarker in Patients with Ovarian Cancer: A Meta-Analysis
    Shubo Chen, Liu Zhang, Guangyue Yan, Sijin Cheng, Abdel Hamid Fathy, Nana Yan, Yongzhao Zhao
    BioMed Research International.2017; 2017: 1.     CrossRef
  • Prognostic significance of neutrophil to lymphocyte ratio in ovarian cancer: evidence from 4,910 patients
    Quan Zhou, Li Hong, Man-Zhen Zuo, Ze He
    Oncotarget.2017; 8(40): 68938.     CrossRef
  • Predictive value of systematic inflammatory response biomarkers (NLR, LMR, PLR) in patients with ovarian cancer.
    Urszula Rychlik, Ewa Wójcik, Jadwiga Tarapacz, Katarzyna Brandys, Zofia Stasik, Beata Kala, Jan K. Kulpa, Wiktor Szatkowski, Paweł Blecharz, Jerzy Jakubowicz
    Diagnostyka Laboratoryjna.2017; 53(3): 139.     CrossRef
  • Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio are predictive of chemotherapeutic response and prognosis in epithelial ovarian cancer patients treated with platinum-based chemotherapy
    Yi Miao, Qin Yan, Shuangdi Li, Bilan Li, Youji Feng
    Cancer Biomarkers.2016; 17(1): 33.     CrossRef
  • Serum carbohydrate antigen 125 concentration as a superior predictor for serosal effusion at diagnosis and a prognostic factor in diffuse large B-cell lymphoma
    Jia-Zhu Wu, Tian Tian, Ying Huang, Jin-Hua Liang, Yi Miao, Li Wang, Ji Xu, Xiao-Yan Qu, Lei Fan, Jian-Yong Li, Wei Xu
    Cancer Biomarkers.2016; 17(2): 205.     CrossRef
  • The prognostic value of pretreatment CA-125 levels and CA-125 normalization in ovarian clear cell carcinoma: a two-academic-institute study
    Huimin Bai, Guisha Sha, Meizhu Xiao, Huiqiao Gao, Dongyan Cao, Jiaxin Yang, Jie Chen, Yue Wang, Zhenyu Zhang, Keng Shen
    Oncotarget.2016; 7(13): 15566.     CrossRef
  • Infrequent Expression of the Cancer-Testis Antigen, PASD1, in Ovarian Cancer
    Ghazala Khan, Suzanne E. Brooks, Ken I. Mills, Barbara-Ann Guinn
    Biomarkers in Cancer.2015; 7: BIC.S28378.     CrossRef
  • 17,333 View
  • 166 Download
  • 51 Web of Science
  • 46 Crossref
Close layer
Prognostic Significance of Retroperitoneal Lymphadenectomy, Preoperative Neutrophil Lymphocyte Ratio and Platelet Lymphocyte Ratio in Primary Fallopian Tube Carcinoma: A Multicenter Study
Kemal Gungorduk, Ibrahim E. Ertas, Aykut Ozdemir, Emrah Akkaya, Elcin Telli, Salih Taskin, Mehmet Gokcu, Ahmet Baris Guzel, Tufan Oge, Levent Akman, Tayfun Toptas, Ulas Solmaz, Askın Dogan, Mustafa Cosan Terek, Muzaffer Sanci, Aydin Ozsaran, Tayup Simsek, Mehmet Ali Vardar, Omer Tarik Yalcin, Sinan Ozalp, Yusuf Yildirim, Firat Ortac
Cancer Res Treat. 2015;47(3):480-488.   Published online November 17, 2014
DOI: https://doi.org/10.4143/crt.2014.058
AbstractAbstract PDFPubReaderePub
Purpose
The purpose of this study is to evaluate the prognostic role of preoperative neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) and the need for para-aortic lymphadectomy in patients with primary fallopian tube carcinoma (PFTC). Materials and Methods Ninety-one patients with a diagnosis of PFTC were identified through the gynecologic oncology service database of six academic centers. Clinicopathological, surgical, and complete blood count data were collected. Results In univariate analysis, advanced stage, suboptimal surgery, and NLR > 2.7 were significant prognostic factors for progression-free survival, whereas in multivariate analysis, only advanced stage and suboptimal surgery were significant. In addition, in univariate analysis, cancer antigen 125 ≥ 35 m/IU, ascites, advanced stage, suboptimal surgery, NLR > 2.7, PLR > 233.3, platelet count ≥ 400,000 cells/mm3, staging type, and histological subtype were significant prognostic factors for overall survival (OS); however, in multivariate analysis, only advanced stage, suboptimal surgery, NLR > 2.7, and staging type were significant. Inclusion of pelvic and para-aortic lymphadenectomy in surgery showed significant association with longer OS, with a mean and median OS of 42.0 months and 35.5 months (range, 22 to 78 months), respectively, vs. 33.5 months and 27.5 months (range, 14 to 76 months), respectively, for patients who underwent surgery without para-aortic lymphadenectomy (hazard ratio, 3.1; 95% confidence interval, 1.4 to 5.7; p=0.002). Conclusion NLR (in both univariate and multivariate analysis) and PLR (only in univariate analysis) were prognostic factors in PFTC. NLR and PLR are inexpensive and easy tests to perform. In addition, patients with PFTC who underwent bilateral pelvic and para-aortic lymphadenectomy had longer OS.

Citations

Citations to this article as recorded by  
  • An evaluation of serum blood parameters and amyloid A levels in pregnant women with threatened miscarriage
    Bekir Sitki Isenlik, Mehmet Cihan Sarica, Bilgesu Cetinel Kaygun, Hasan Ali Inal
    American Journal of Reproductive Immunology.2024;[Epub]     CrossRef
  • MAGNETIC RESONANCE AND COMPUTER TOMOGRAPHY IN THE DIAGNOSIS OF PRIMARY FALLOPIAN TUBE CANCER
    Dmytro Sumtsov, Artem Skulbeda, Georgy Sumtsov, Iryna Nikitina
    Eastern Ukrainian Medical Journal.2024; 12(1): 183.     CrossRef
  • An evaluation of serum blood parameters and amyloid-A levels in women with hyperemesis gravidarum; A prospective observational study
    Durmus Onder, Meryem Busra Birsen, Derya Erturk, Ahmet Ilker Eryilmaz, Ozgur Ozdemir, Guzin Aykal, Zeynep Ozturk Inal
    Medicine.2024; 103(38): e39695.     CrossRef
  • Recurrence Rate and Associated Factors of Primary Fallopian Tube Carcinoma in the South of Vietnam
    Tuan Vo, Duy Nguyen, Thang Ho, Hoang Tran, Dat Nguyen, Thuong Bui, Thinh Cao, Brian Vo
    Gynecology and Minimally Invasive Therapy.2024; 13(4): 247.     CrossRef
  • PRIMARY FALLOPIAN TUBE CANCER: A LITERATURE REVIEW
    Dmitrii Sumtsov
    Eastern Ukrainian Medical Journal.2023; 11(3): 224.     CrossRef
  • Survival Benefit of Patients with Advanced Primary Fallopian Tube Cancer Undergoing Systematic Lymphadenectomy? Dilemmas and Queries
    C. Iavazzo, A. Fotiou, V. Psomiadou, N. Vrachnis, J. Spiliotis
    Journal of Investigative Surgery.2022; 35(6): 1424.     CrossRef
  • Significance of preoperative peripheral blood neutrophil-lymphocyte ratio in predicting postoperative survival in patients with multiple myeloma bone disease
    Zi-Yu Xu, Xing-Chen Yao, Xiang-Jun Shi, Xin-Ru Du
    World Journal of Clinical Cases.2022; 10(14): 4380.     CrossRef
  • 18-F fluorodeoxyglucose positron emission tomography/computed tomography findings of bilateral primary fallopian tube carcinoma and metastasis to the uterus: a case report and literature review
    Na Dai, Shengming Deng, Yi Yang, Shibiao Sang
    Journal of International Medical Research.2022;[Epub]     CrossRef
  • PRACTICAL MEANS OF PREOPERATIVE DIAGNOSTICS OF PRIMARY FALLOPIAN TUBE CANCER
    Dmytro H. Sumtsov, Igor Z. Gladchuk, Nataliia M. Kashtalian, Georgiy O. Sumtsov
    Wiadomości Lekarskie.2021; 74(2): 282.     CrossRef
  • The role of changes in systemic inflammatory response markers during neoadjuvant chemotherapy in predicting suboptimal surgery in ovarian cancer
    Varol Gülseren, İlker Çakır, İsa Aykut Özdemir, Muzaffer Sancı, Mehmet Gökçü, Kemal Güngördük
    Current Problems in Cancer.2020; 44(4): 100536.     CrossRef
  • MRI can be used to differentiate between primary fallopian tube carcinoma and epithelial ovarian cancer
    Y. Yang, Z. Xiao, Z. Liu, F. Lv
    Clinical Radiology.2020; 75(6): 457.     CrossRef
  • Role of PI3K/AKT pathway in cancer: the framework of malignant behavior
    Ningni Jiang, Qijie Dai, Xiaorui Su, Jianjiang Fu, Xuancheng Feng, Juan Peng
    Molecular Biology Reports.2020; 47(6): 4587.     CrossRef
  • Unexpected primary fallopian tube carcinoma during gynecological operations: Clinicopathological and prognostic factors analyses of 67 cases
    Mingming Sun, Lingjie Bao, Haoran Shen, Min Ji, Liangqing Yao, Xiaofang Yi, Wei Jiang
    Taiwanese Journal of Obstetrics and Gynecology.2019; 58(5): 626.     CrossRef
  • Prognostic Significance of Pretreatment Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio in Patients with Diffuse Large B-Cell Lymphoma
    Siqian Wang, Yongyong Ma, Lan Sun, Yifen Shi, Songfu Jiang, Kang Yu, Shujuan Zhou
    BioMed Research International.2018; 2018: 1.     CrossRef
  • Is the neutrophil-to-lymphocyte ratio prognostic of survival outcomes in gynecologic cancers? A systematic review and meta-analysis
    Josee-Lyne Ethier, Danielle N Desautels, Arnoud J Templeton, Amit Oza, Eitan Amir, Stephanie Lheureux
    Gynecologic Oncology.2017; 145(3): 584.     CrossRef
  • Prognostic significance of neutrophil to lymphocyte ratio in ovarian cancer: evidence from 4,910 patients
    Quan Zhou, Li Hong, Man-Zhen Zuo, Ze He
    Oncotarget.2017; 8(40): 68938.     CrossRef
  • Preoperative Neutrophil-to-lymphocyte Ratio Predicts Long-term Survival in Patients Undergoing Total Laryngectomy With Advanced Laryngeal Squamous Cell Carcinoma
    Yan Fu, Weiwei Liu, Dian OuYang, Ankui Yang, Quan Zhang
    Medicine.2016; 95(6): e2689.     CrossRef
  • The Prognostic Significance of Neutrophil‐to‐Lymphocyte and Platelet‐to‐Lymphocyte Ratios in Patients With Multiple Myeloma
    Supakanya Wongrakpanich, Gemlyn George, Wikrom Chaiwatcharayut, Sylvia Biso, Nellowe Candelario, Varun Mittal, Sherry Pomerantz, Gabor Varadi
    Journal of Clinical Laboratory Analysis.2016; 30(6): 1208.     CrossRef
  • Baseline neutrophil–lymphocyte ratio is associated with baseline and subsequent presence of brain metastases in advanced non-small-cell lung cancer
    Young Wha Koh, Jin-Hyuk Choi, Mi Sun Ahn, Yong Won Choi, Hyun Woo Lee
    Scientific Reports.2016;[Epub]     CrossRef
  • 12,368 View
  • 106 Download
  • 18 Web of Science
  • 19 Crossref
Close layer
Case Report
Cyclosporine in Relapsed Subcutaneous Panniculitis-like T-Cell Lymphoma after Autologous Hematopoietic Stem Cell Transplantation
Hye Ryun Jung, So Yeon Yun, Jun Hyeok Choi, Sung Hwa Bae, Hun-Mo Ryoo, Yoon-Seup Kum
Cancer Res Treat. 2011;43(4):255-259.   Published online December 27, 2011
DOI: https://doi.org/10.4143/crt.2011.43.4.255
AbstractAbstract PDFPubReaderePub
Subcutaneous panniculitis-like T-cell lymphoma (SPTCL) is a rare T-cell lymphoma characterized by involvement of the subcutaneous tissue of neoplastic T lymphocytes. SPTCL with hemophagocytic syndrome (HPS) is associated with an aggressive clinical course and treatment of SPTCL with HPS is not well established. Cyclophosphamide, doxorubicin, vincristine, prednisolone (CHOP) therapy is not successful in most patients suffering from SPTCL with HPS. The role of high dose chemotherapy followed by hematopoietic stem cell transplantation (HSCT) remains controversial. We report a case of relapsed SPTCL after CHOP chemotherapy and salvage chemotherapy followed by autologous HSCT, which had rapid improvement within weeks after cyclosporine and prednisolone. Immunosuppressive therapy may be an important and successful treatment option in SPTCL patients, even though they may have clinically aggressive disease.

Citations

Citations to this article as recorded by  
  • Rare Cutaneous T-Cell Lymphomas
    Fabiana Damasco, Oleg E. Akilov
    Hematology/Oncology Clinics of North America.2019; 33(1): 135.     CrossRef
  • Hematopoietic stem cell transplantation for subcutaneous panniculitis-like T-cell lymphoma: single center experience in an Asian population
    Ting-An Lin, Ching-Fen Yang, Yao-Chung Liu, Jin-Hwang Liu, Tzeon-jye Chiou, Liang-Tsai Hsiao, Hsiu-Ju Yen, Chia-Jen Liu, Hao-Yuan Wang, Po-Shen Ko, Sheng-Hsuan Chien, Jyh-Pyng Gau
    International Journal of Hematology.2019; 109(2): 187.     CrossRef
  • A Systematic Approach to the Cutaneous Lymphoid Infiltrates: A Clinical, Morphologic, and Immunophenotypic Evaluation
    Alejandro A. Gru, Chauncey McHargue, Andrea L. Salavaggione
    Archives of Pathology & Laboratory Medicine.2019; 143(8): 958.     CrossRef
  • Subcutaneous panniculitis-like T-cell lymphoma: Clinical features, therapeutic approach, and outcome in a case series of 16 patients
    Ingrid López-Lerma, Yeray Peñate, Fernando Gallardo, Rosa M. Martí, Josune Mitxelena, Isabel Bielsa, Virginia Velasco-Tamariz, Juan I. Yanguas-Bayona, Pedro Sánchez-Sambucety, Vicente García-Patos, Pablo L. Ortiz-Romero, Ramón M. Pujol, Teresa Estrach
    Journal of the American Academy of Dermatology.2018; 79(5): 892.     CrossRef
  • Uncommon Variants of T-Cell Lymphomas
    Neha Mehta-Shah, Steven Horwitz
    Hematology/Oncology Clinics of North America.2017; 31(2): 285.     CrossRef
  • Relapsed and refractory subcutaneous panniculitis-like T-cell lymphoma with excellent response to cyclosporine: a case report and literature review
    Chi-Ching Chen, Chieh-Lin Teng, Su-Peng Yeh
    Annals of Hematology.2016; 95(5): 837.     CrossRef
  • Managing Patients with Cutaneous B-Cell and T-Cell Lymphomas Other Than Mycosis Fungoides
    Meenal Kheterpal, Neha Mehta-Shah, Pooja Virmani, Patricia L. Myskowski, Alison Moskowitz, Steven M. Horwitz
    Current Hematologic Malignancy Reports.2016; 11(3): 224.     CrossRef
  • Zebras and hen's teeth: recognition and management of rare T and NK lymphomas
    Neha Mehta–Shah, Steven Horwitz
    Hematology.2015; 2015(1): 545.     CrossRef
  • Cyclosporine A as a Primary Treatment for Panniculitis-like T Cell Lymphoma: A Case with a Long-Term Remission
    Won Sup Lee, Ji-Hyen Hwang, Moon Jin Kim, Se-Il Go, Anna Lee, Haa-Na Song, Min Jeong Lee, Myung Hee Kang, Hoon-Gu Kim, Jeong-Hee Lee
    Cancer Research and Treatment.2014; 46(3): 312.     CrossRef
  • 10,253 View
  • 93 Download
  • 9 Crossref
Close layer
Original Articles
Alpha-Type 1 Polarized Dendritic Cells Loaded with Apoptotic Allogeneic Breast Cancer Cells Can Induce Potent Cytotoxic T Lymphocytes against Breast Cancer
Min-Ho Park, Deok-Hwan Yang, Mi-Hyun Kim, Jae-Hong Jang, Yoon-Young Jang, Youn-Kyung Lee, Chun-Ji Jin, Than Nhan Nguyen Pham, Truc Anh Nguyen Thi, Mi-Seon Lim, Hyun-Ju Lee, Cheol Yi Hong, Jung-Han Yoon, Je-Jung Lee
Cancer Res Treat. 2011;43(1):56-66.   Published online March 31, 2011
DOI: https://doi.org/10.4143/crt.2011.43.1.56
AbstractAbstract PDFPubReaderePub
PURPOSE
Various tumor antigens can be loaded onto dendritic cells (DCs) to induce a potent cytotoxic T lymphocyte (CTL) response in DC-based immunotherapy against breast cancer. However, in the clinical setting, obtaining a sufficient number of autologous tumor cells as a source of tumor antigens is a laborious process. We therefore investigated the feasibility of immunotherapy using breast-cancer-specific CTLs generated in vitro by use of alpha-type 1 polarized DCs (alpha DC1s) loaded with ultraviolet B-irradiated cells of the breast cancer cell line MCF-7.
MATERIALS AND METHODS
alphaDC1s were induced by loading allogeneic tumor antigen generated from the MCF-7 UVB-irradiated breast cancer cell line. Antigen-pulsed alphaDC1s were evaluated by morphological and functional assays, and the breast-cancer-specific CTL response was analyzed by cytotoxic assay.
RESULTS
The alphaDC1s significantly increased the expression of several molecules related to DC maturation without differences according to whether the alphaDC1s were loaded with tumor antigens. The alphaDC1s showed a high production of interleukin-12 both during maturation and after subsequent stimulation with CD40L, which was not significantly affected by loading with tumor antigens. Breast-cancer-specific CTLs against autologous breast cancer cells were successfully induced by alphaDC1s loaded with apoptotic MCF-7 cells.
CONCLUSION
Autologous DCs loaded with an allogeneic breast cancer cell line can generate potent breast-cancer-specific CTL responses. This may be a practical method for cellular immunotherapy in patients with breast cancer.

Citations

Citations to this article as recorded by  
  • Usefulness of IL-21, IL-7, and IL-15 conditioned media for expansion of antigen-specific CD8+ T cells from healthy donor-PBMCs suitable for immunotherapy
    Julián A. Chamucero-Millares, David A. Bernal-Estévez, Carlos A. Parra-López
    Cellular Immunology.2021; 360: 104257.     CrossRef
  • Extending traditional antibody therapies: Novel discoveries in immunotherapy and clinical applications
    Charles Shin, Sung Soo Kim, Yong Hwa Jo
    Molecular Therapy - Oncolytics.2021; 22: 166.     CrossRef
  • Enhanced Human T Lymphocyte Antigen Priming by Cytokine-Matured Dendritic Cells Overexpressing Bcl-2 and IL-12
    Hui Zhang, Yu Wang, Qian-Ting Wang, Sheng-Nan Sun, Shi-You Li, Hong Shang, You-Wen He
    Frontiers in Cell and Developmental Biology.2020;[Epub]     CrossRef
  • Tumor lysate-loaded Bacterial Ghosts as a tool for optimized production of therapeutic dendritic cell-based cancer vaccines
    N. Dobrovolskienė, V. Pašukonienė, A. Darinskas, J.A. Kraśko, K. Žilionytė, A. Mlynska, Ž. Gudlevičienė, E. Mišeikytė-Kaubrienė, V. Schijns, W. Lubitz, P. Kudela, M. Strioga
    Vaccine.2018; 36(29): 4171.     CrossRef
  • Antitumor dendritic cell–based vaccines: lessons from 20 years of clinical trials and future perspectives
    João Constantino, Célia Gomes, Amílcar Falcão, Maria T. Cruz, Bruno M. Neves
    Translational Research.2016; 168: 74.     CrossRef
  • Identification of proteins derived from Listeria monocytogenes inducing human dendritic cell maturation
    Reza Mirzaei, Azad Saei, Fatemeh Torkashvand, Bahareh Azarian, Ahmad Jalili, Farshid Noorbakhsh, Behrouz Vaziri, Jamshid Hadjati
    Tumor Biology.2016; 37(8): 10893.     CrossRef
  • Dendritic Cell-Based Cancer Immunotherapy against Multiple Myeloma: From Bench to Clinic
    My-Dung Hoang, Sung-Hoon Jung, Hyun-Ju Lee, Youn-Kyung Lee, Thanh-Nhan Nguyen-Pham, Nu-Ri Choi, Manh-Cuong Vo, Seung-Shin Lee, Jae-Sook Ahn, Deok-Hwan Yang, Yeo-Kyeoung Kim, Hyeoung-Joon Kim, Je-Jung Lee
    Chonnam Medical Journal.2015; 51(1): 1.     CrossRef
  • Dendritic Cells Induce Specific Cytotoxic T Lymphocytes against Prostate Cancer TRAMP-C2 Cells Loaded with Freeze-thaw Antigen and PEP-3 Peptide
    Xiao-Qi Liu, Rong Jiang, Si-Qi Li, Jing Wang, Fa-Ping Yi
    Asian Pacific Journal of Cancer Prevention.2015; 16(2): 571.     CrossRef
  • Branched Polyethylenimine-Superparamagnetic Iron Oxide Nanoparticles (bPEI-SPIONs) Improve the Immunogenicity of Tumor Antigens and Enhance Th1 Polarization of Dendritic Cells
    My-Dung Hoang, Hwa-Jeong Lee, Hyun-Ju Lee, Sung-Hoon Jung, Nu-Ri Choi, Manh-Cuong Vo, Thanh-Nhan Nguyen-Pham, Hyeoung-Joon Kim, In-Kyu Park, Je-Jung Lee
    Journal of Immunology Research.2015; 2015: 1.     CrossRef
  • Generation of Potent Cytotoxic T Lymphocytes Against Castration‐Resistant Prostate Cancer Cells by Dendritic Cells Loaded With Dying Allogeneic Prostate Cancer Cells
    E. C. Hwang, M.‐S. Lim, C.‐M. Im, D.‐D. Kwon, H.‐J. Lee, T.‐N. Nguyen‐Pham, Y.‐K. Lee, J.‐J. Lee
    Scandinavian Journal of Immunology.2013; 77(2): 117.     CrossRef
  • Dendritic Cell Engineering for Tumor Immunotherapy: from Biology to Clinical Translation
    Arpit Bhargava, Dinesh Mishra, Smita Banerjee, Pradyumna Kumar Mishra
    Immunotherapy.2012; 4(7): 703.     CrossRef
  • 12,033 View
  • 54 Download
  • 11 Crossref
Close layer
Altered Expression of Smad Proteins in T or NK-cell Lymphomas
Jai Hyang Go
Cancer Res Treat. 2008;40(4):197-201.   Published online December 31, 2008
DOI: https://doi.org/10.4143/crt.2008.40.4.197
AbstractAbstract PDFPubReaderePub
Purpose

Smad proteins mediate cellular signaling through the transforming growth factor-β family (TGF-βs). Smads 2 and 3 transmit signals from TGF-β, and Smad4 is a common mediator, as well. However, little is known concerning the expression patterns of Smads in lymphoid tissue.

Materials and Methods

Immunohistochemistry for Smad3 and Smad4 was performed on paraffin-embedded tissue sections collected from 26 T- or NK-cell lymphomas.

Results

Nearly all cells in germinal centers were positive for Smad3, and more than 50% of paracortical cells were positive for Smad3 in reactive lymphoid tissue. When Smad4 immunostaining was conducted, nearly all the cells in the germinal centers showed diffuse cytoplasmic staining, and most of them exhibited nuclear positivity, as well. In addition, more than 50% of the cells in the paracortex were positive for Smad4. Furthermore, the Smad3 staining pattern was preserved in all malignant lymphomas, but four of these cases (15%) exhibited decreased expression of Smad4. All lymphoblastic lymphomas showed strong positivity in most of tumor cells, but one unspecified peripheral lymphoma, two nasal NK/T cell lymphomas, and one anaplastic large cell lymphoma were negative for Smad4.

Conclusions

These results suggest that TGF-β-specific Smads may be actively involved in signal transduction in lymphoid organs and that Smad-mediated TGF-β signaling pathways are operative in malignant lymphoma. In addition, loss of Smad4 expression might be associated with development of some T-cell lymphomas.

Citations

Citations to this article as recorded by  
  • Appreciating the broad clinical features of SMAD4 mutation carriers: a multicenter chart review
    Karen E. Wain, Marissa S. Ellingson, Jamie McDonald, Amanda Gammon, Maegan Roberts, Pavel Pichurin, Ingrid Winship, Douglas L. Riegert-Johnson, Jeffrey N. Weitzel, Noralane M. Lindor
    Genetics in Medicine.2014; 16(8): 588.     CrossRef
  • Genomic profiling combined with gene expression profiling in primary central nervous system lymphoma
    Chang Ohk Sung, Sang Cheol Kim, Sivasundaram Karnan, Kennosuke Karube, Hyung Jin Shin, Do-Hyun Nam, Yeon-Lim Suh, Seok-Hyung Kim, Ji Yeon Kim, Seok Jin Kim, Won Seog Kim, Masao Seto, Young-Hyeh Ko
    Blood.2011; 117(4): 1291.     CrossRef
  • 7,908 View
  • 42 Download
  • 2 Crossref
Close layer
A Study of Fas / Fas - Expression and Apoptosis according to the Progression of Gastric Adenocarclnoma
Sung Chul Lim, Jeong Hwan Chang
J Korean Cancer Assoc. 1999;31(6):1101-1111.
AbstractAbstract PDF
PURPOSE
The purpose of this study was to determine whether Fas-L expression is associated with increased apoptotic induction of tumor-infiltrating lymphocytes (TIL) in human gastric carcinomas.
MATERIALS AND METHODS
The author analysed 38 cases of early gastric carcinoma (EGC) and 61 cases of advanced gastric carcinoma (AGC) who received gastric resection, in whom the number of diffuse type was 38 cases and the number of intestinal type was 61 cases. The author used immunohistochemical staining for Fas, Fas-L and CD45, and TUNEL in situ apoptosis detection kit. TIL were detected by CD45 and apoptosis of TIL were detected by CD45 expression and TUNEL positivity on serial histologic sections.
RESULTS
Fas-L was localized to neoplastic cells in 61% (23/38) of EGC group and 66% (40/61) of AGC group. The extent of Fas-L expression was variable, with both Fas-L positive and negative neoplastic region occuring within tumors. TIL adjacent to Fas-L expressing tumor region were decreased in number and TIL adjacent to FasL-negative tumor region were increased in number; apoptotic induction of TIL showed just the opposite pattern (p<0.05). Fas expression was found essentially homogeneously throughout the tumor mass independent of tumor stage. Fas expression showed 64% (39/61) of intestinal type and 68% (26/38) of diffuse type. Labeling indices for tumoral apoptosis in EGC and AGC were 6.72% and 7.13%, respectively and this difference was statistically insignificant. Co-expression of Fas-L and Fas, which occurred over large areas of the tumors, did not result in an enhanced rate of tumor cell apoptosis. In addition, factors such as tumor stage and other prognostic factors were not concerned in Fas and Fas-L expression, number of TIL and apoptotic induction.
CONCLUSION
These findings suggest Fas-mediated apoptotic depletion of TIL in response to Fas-L expression by stomach cancers, and provide the evidence to support the Fas counterattack as a mechanism of immune escape in gastric cancer. In addition, gastric carcinoma cells of the intestinal and diffuse type did not differ in their expression of the apoptotic receptor Fas.
  • 2,354 View
  • 14 Download
Close layer
The Study for the Postoperative Changes of Peripheral Lymphocytes and their Subsets as Immune Function in Advanced Gastric Cancer
Yoon Sun Joh, Yon Geul Joh, Min Young Cho, Sung Ock Suh
J Korean Cancer Assoc. 1999;31(5):946-954.
AbstractAbstract PDF
PURPOSE
This study evaluated the immunologic function of the postoperative lymphacytes and their subsets during 2 years after the curative resection of advanced gastric cancer.
MATERIALS AND METHODS
The peripheral lymphocytes and their subset in 64 advanced gastric cancer patients were preoperatively and postoperatively measured by using fluorescent conjugated monoclonal antibodies with flow cytometry. The monoclonal antibodies to T lymphocyte (CD3), B lymphocyte (CD19), helper-inducer cell (CD4), suppressor- cytotoxic cell (CD8), natural killer cell (CD16), and activated T cell (HLA-DR) antigens were used individually corresponding to T lymphocytes, B lymphocytes, helper-inducer T cells, suppressor-cytotoxic T cells, natural killer cells and activated T cells in post- operative periods (1, 3, 6, 12, 18, K 24 months). Their postoperative data were compared to the preoperative data in advanced gastric cancer.
RESULTS
On sequential measurements, peripheral lymphocytes were significantly decreased in postoperative 1 month than preoperative 1 day but they were gradually increased in postoperative 3, 6, 12, 18 and 24 months with significance. The B lymphocytes were significantly decreased in postoperative 3 and 6 months. NK cells were significantly increased in postoperative 3 months.
CONCLUSION
The two years postoperative changing patterns of peripheral lymphocytes and their subsets may not be improved in advanced gastric cancer patients which were undertaken curative surgery except lymphocyte.
  • 2,288 View
  • 14 Download
Close layer
IL-2 Induced Nitric Oxide Synthesis by Tumor Cells in Corultures of Lymphocytes and Tumor Cells
Chang Yeol Yim, Sang Youel Park, Wan Hee Yoo, Jae Yong Kwak, Soo Teik Lee, Myung Hee Sohn, Dae Ghon Kim, Deuk Soo Ahn
J Korean Cancer Assoc. 1999;31(2):339-347.
AbstractAbstract PDF
PURPOSE
Nitric oxide (NO) synthesis has been known to be induced during interleukin-2 (IL-2) therapy. The present study was designed to elucidate mechanisms and roles of IL-2-induced NO synthesis in tumor cells.
MATERIALS AND METHODS
Mechanisms of IL-2-induced NO synthesis were evaluated using in vitro culture systems of BALB/c mouse splenic lymphocytes and Meth-A tumor cells. Effects of IL-2-induced NO synthesis by Meth-A tumor cells on the tumor cell proliferation were also evaluated using an NO synthase inhibitor, N -monomethyl- L-arginine (MLA).
RESULTS
Cultures of both lymphocytes alone and Meth-A tumor cells alone did not produce any significant amounts of nitrite, a stable metabolite of NO during IL-2 stimulation. In contrast, cocultures of lymphocytes and Meth-A tumor cells produced a large amount of nitrite during IL-2 stimulation. Addition of culture supernatants of lymphocytes incubated with IL-2 induced nitrite production in Meth-A tumor cell cultures. However, addition of culture supernatants of Meth-A tumor cells incubated with IL-2 did not induce nitrite production in lymphocyte cultures. Nitrite accumulation was markedly inhibited by addition of anti-interferon-y antibody, confirming the role of the cytokine in mediating tumor cell NO synthesis. MLA inhibited nitrite production by Meth-A tumor cells in a dose-dependent manner in the presence of culture supernatants of lymphocytes incubated with IL-2. Meth-A tumor cell nitrite production in the presence of increasing concentrations of MLA correlated inversely with tumor cell proliferation.
CONCLUSION
NO synthesis can be induced by tumor cells by the secondarily released cytokines from lymphocytes during IL-2 stimulation. Autologous NO synthesized by tumor cells during IL-2 stimulation inhibits proliferation of tumor cells themselves.
  • 2,176 View
  • 14 Download
Close layer
Distribution of Langerhans Cells Associated with T Lymphocytes in Primary Lung Cancer
Dong Hwan Shin, Kyung Young Chung, Byung Soo Kim, Kwang Hwa Park
J Korean Cancer Assoc. 1996;28(2):272-281.
AbstractAbstract PDF
We have studied the distribution of Langerhans cells associated with T lymphocytes/or histocytes in 83 cases of resected primary lung cancers by immunohistochemical methods using anti-S100 protein, B and T lymphocyte markers and anti-lysozyme antibodies. Langerhans cells were present in all the main histologic subtypes but small cell carcinoma. Langerhans cells were noted much more frequently in adenocarcinoma, particularly those subclassified as bronchioloalveolar carcinoma than in other histologic types. T lymphocytes were seen if any associated with Langerhans cells among tumor cells whereas lysozyme positive histiocytes were mostly scattered in the supporting stroma between tumor cells. Clinical follow-up data available for 72 cases showed no significant correlations between infiltration of Langerhans cells and overall survival. There seemed to be a little longer survival in adenocarcinoma with Langerhans cells than those without but it proved to be insignificant by statistical analysis. The current results remain to be confirmed in much larger studies with regard to prognostic significance of infiltrating Langerhans cells and their association with T lymphocytes in primary lung cancers in view of known immunologic role of Langerhans cells.
  • 2,365 View
  • 12 Download
Close layer
A Case of Well - Differentiated Thymic Carcinoma with Severe Aplastic Anemia
Jung Ah Kim, Gi Hyeon Seo, Sung Soo Yoon, Won Ki Kang, Hong Ghi Lee, Keun Chil Park, Young Hyeh Ko, Chan Hyung Park
J Korean Cancer Assoc. 1996;28(5):897-903.
AbstractAbstract PDF
Thymoma is occasionally associated with hematologic disorders such as pure red cell aplasia, agranulocytosis, and thrombocytopenia and several cases have been associated with pancytopenia. In contrast, thymic carcinoma has rarely been associated with aplastic anemia except one case reported by Thomas et aL. This case report concerns a patient in whom we have observed simultaneous occurrence of a well differentiated thymic carcinoma and a severe marrow aplasia for which we describe our therapeutic approach. Our patient did not benefit from thymectomy. We then tried antilymphocyte globulin and cyclosporine and the patient had a partial response with hematologic improvements.
  • 2,655 View
  • 16 Download
Close layer
Immunologic and Oncogenic Study on the Cervical Neoplasia
Eun Yeong Seol, Sung Chul Lim
J Korean Cancer Assoc. 1996;28(6):1071-1083.
AbstractAbstract PDF
Immune response commonly is cited as a determining factor in the development or clearance of various neoplasias, but the immunobiology of neoplastic progression is poorly understood. The cervix has the largest concentration of lymphocytes found in the female genital tract and as a component of the common mucosal immune system guards against ascending infection from the microbial-laiden vagina, but cervical immunocytes have not been well characterized in the neoplasia itself. The objective of this study is to characterize the subpopulations of lymphocytes that infiltrate various grades of cervical neoplasia including metaplasia to invasive carcinoma. To establish the correlation I examined 60 cases of uterine cervix which were divided 4 categories according to the Bethesda Classification system; normal cervix(15), low grade squamous intraepithelial lesions(SILs)(15), high grade SILs(15), and invasive squamous cell carcinomas(15 cases). The degrees of T-lymphocyte infiltration were assessed after immunohistochemical staining by UCHL1, and compared to stainability of aberrant p53 and bcl-2 protein. There were significant increasing number and proportion of T-cells of invaisve cancers compared with that of preinvasive lesions. Aberrant p53 expression of invasive cancer was a little more intensive than that of low grade and high grade SILs, and there was no correlation between T-cell infiltration and aberrant p53 and/or bcl-2 expression. Bcl-2 was expressed in most of basal layer and some cases of parabasal layer of low and high grade SILs, and some minute foci of invasive cancer. In the adjacent areas of SILs and invasive lesions strong bcl-2 expression was noted in parabasal, intermediate or superficial cells case by case. In conclusion, the UCHLl-positive T cell infiltrate far exceeded in the invasive, but not in the preinvasive lesions, a finding that suggests that T cells are recruited preferentially to cervical lesions with progression to invasion. It is suggested that the T cell recruitment is not related to p53 or bc1-2, but the unknown third factors, and the bcl-2 overexpression is involved in the early step of epithelial neoplastic transforrnation and followed by recurrent overexposure to various oncogenic factors.
  • 2,008 View
  • 13 Download
Close layer

Cancer Res Treat : Cancer Research and Treatment
Close layer
TOP