Cancer Research and Treatment

Original Articles

Gastrointestinal cancer

Molecular Mosaics: Unveiling Heterogeneity in Synchronous Colorectal Cancers: Hyun Gu Lee, Yeseul Kim, Mi-Ju Kim, Yeon Wook Kim, Sun-Young Jun, Deokhoon Kim, In Ja Park, Seung-Mo Hong; Cancer Res Treat. 2026;58(1):264-274. Published online February 18, 2025; DOI: https://doi.org/10.4143/crt.2024.947

Abstract PDF Supplementary Material PubReader ePub: Purpose
Molecular characteristics of synchronous colorectal cancers (SCRCs) remain incompletely elucidated, despite their importance in targeted therapy selection. We compared the molecular characteristics and somatic mutations between SCRCs.
Materials and Methods
This retrospective study (2012-2014) included 98 consecutive patients with surgically resected SCRCs. Molecular characteristics, including microsatellite instability (MSI) and tumor-infiltrating lymphocytes (TILs), were analyzed for all cancer lesions. The intertumoral heterogeneity of SCRCs was evaluated using whole-exome sequencing (WES) for 18 cancers from nine patients with at least one MSI-high (MSI-H) tumor.
Results
Twelve patients had at least one MSI-H tumor; five showed discordant MSI status. Mucinous adenocarcinoma frequency and TIL density were higher in patients with at least one MSI-H tumor than in those with only microsatellite-stable tumors. WES revealed that, except one patient (6.5%), most synchronous cancers shared few variants in each patient (0.09%-0.36%). The concordance rates for BRAF, KRAS, NRAS, and PIK3CA, in synchronous cancers from each patient were 66.7%, 66.7%, 66.7%, and 55.6%, respectively.
Conclusion
Although synchronous cancers shared a mutated gene, the mutation subtypes differed. SCRCs exhibited 5.1% MSI status discordance rate and a high discordance rate in somatic mutational variants. As intertumoral heterogeneity may affect the targeted therapy response, molecular analysis of all tumors is recommended for patients with SCRCs.

2,140 View
79 Download

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

Abstract PDF PubReader ePub

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.

Citations

Citations to this article as recorded by

Prognostic Impact of Real-World Immunohistochemical Changes in Breast Cancer Treated with Neoadjuvant Chemotherapy
Marcelo Antonini, André Mattar, Marcelo Madeira, Letícia Xavier Félix, Julio Antonio Pereira de Araújo, Francisco Pimentel Cavalcante, Felipe Zerwes, Fabricio Palermo Brenelli, Antonio Luis Frasson, Eduardo Camargo Millen, Marina Diógenes Teixeira, Lariss
Clinical Breast Cancer.2026; 26(1): 276. CrossRef
Discordance in Immunohistochemistry Results in Breast Pathologies: Effect of Chemotherapy, Specimen Characteristics, or Pathology Center?
Mustafa Ersoy
Clinical Medicine Insights: Oncology.2025;[Epub] CrossRef
Identifying gene expression signatures of oncolytic virus response in patient-derived pancreatic ductal adenocarcinoma organoids
Marco Huberts, Elham Aida Farshadi, Farzana Mohammad, Jie Ju, Andrew Stubbs, Ron A.M. Fouchier, Bernadette G. van den Hoogen
Molecular Therapy Oncology.2025; 33(4): 201064. CrossRef
Immunohistochemical Changes After Neoadjuvant Chemotherapy and Their Impact on Breast Cancer Survival: A Systematic Review and Meta-analysis
Marcelo Antonini, André Mattar, Gil Facina, Francisco Pimentel Cavalcante, Felipe Zerwes, Fabricio Palermo Brenelli, Antônio Luis Frasson, Eduardo Camargo Millen, Rodrigo Caires Campos, Letícia Xavier Félix, Juliana Calado Vieira, Marina Diógenes Teixeira
Clinical Breast Cancer.2025;[Epub] CrossRef
Post-Surgical Reassessment of Breast Cancer IHC: Concordance, Δ-Metrics, and Treatment-Relevant Reclassification
Ramona Andreea Cioroianu, Michael Schenker, Tradian Ciprian Berisha, Virginia-Maria Rădulescu, George Ovidiu Cioroianu, Raluca Chirculescu, Ana Maria Petrescu, Mihaela Popescu, Anda Lorena Dijmărescu, Stelian Ștefăniță Mogoantă
Diagnostics.2025; 15(24): 3128. CrossRef

5,167 View
237 Download
4 Web of Science
5 Crossref

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

Abstract PDF Supplementary Material PubReader ePub

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
Progesterone receptor-dependent downregulation of MHC class I promotes tumor immune evasion and growth in breast cancer
Julio C Tinoco, Harmony I Saunders, Lauryn Rose Werner, Xiaopeng Sun, Eilidh I Chowanec, Amanda Heard, Prabhakar Chalise, Jeffery M Vahrenkamp, Andrea E Wilson, Cong-Xiao Liu, Gangjun Lei, Junping Wei, Hugo Cros, Hisham Mohammed, Melissa Troester, Charles
Journal for ImmunoTherapy of Cancer.2025; 13(3): e010179. CrossRef
Neoadjuvant Chemotherapy Efficacy in Breast Cancer: Insights from Magnetic Resonance Imaging Compilation (MAGIC)
Honghong Wu, Zebo Huang, Jie Wang
Academic Radiology.2025; 32(8): 4369. CrossRef
Prenatal Bisphenol B Exposure Induces Adult Male Offspring Reproductive Dysfunction via ERα Inhibition-Triggered MHC I-Mediated Testicular Immunological Responses
Nannan Chen, Xiaotian Li, Shenrui Zhou, Xin Peng, Senlin Xue, Yuetong Liu, Tingwang Jiang, Wei Yan
Toxics.2025; 13(6): 423. CrossRef
The untapped potential of radiation and immunotherapy for hormone receptor-positive breast cancer
Matthew Fenton, Miki Yoneyama, Erik Wennerberg, Tom Lund, Andrew Tutt, Alan Melcher, Sandra Demaria, Navita Somaiah
npj Breast Cancer.2025;[Epub] CrossRef
Dendrimer-Mediated Delivery Enhances Therapeutic Efficacy in Triple-Negative Breast Cancer
Anunay James Pulukuri, Anubhav Dhull, Aqib Iqbal Dar, Anu Rani, Rishi Sharma, Clifford E. Berkman, Anjali Sharma
Biomacromolecules.2025; 26(9): 5979. CrossRef
Neoadjuvant Immunotherapy in Hormone Receptor-Positive Breast Cancer: From Tumor Microenvironment Reprogramming to Combination Therapy Strategies
Zimei Tang, Tao Huang, Tinglin Yang
International Journal of Molecular Sciences.2025; 26(23): 11596. CrossRef
Toxic Epidermal Necrolysis and Steven–Johnson Syndrome During the Postpartum Period: A Literature Review with a Rare Case Presentation
Natalia Katarzyna Mazur-Ejankowska, Maciej Ejankowski, Magdalena Emilia Grzybowska, Jakub Żółkiewicz, Ewa Gostkowska, Wioletta Barańska-Rybak, Dariusz Grzegorz Wydra
Journal of Clinical Medicine.2025; 15(1): 17. 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

8,846 View
193 Download
10 Web of Science
11 Crossref

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

Abstract PDF Supplementary Material PubReader ePub

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

Elucidating anti-triple-negative breast cancer mechanisms and mitigating toxicity of Fritillaria thunbergii Miq.: A multi-omics and network pharmacology approach
Yubin Zhu, Yuqing Zhang, Xinni Li, Luyao Zhang, Zhixin Shen
Journal of Ethnopharmacology.2026; 355: 120600. CrossRef
POLR2C, HIF1A, CD4, and CREB1 as the identified key regulators in geriatric insomnia: A comprehensive approach using systems biology and machine learning methods
Tejaswini B, Sajitha Lulu S
Computational Biology and Chemistry.2026; 120: 108777. CrossRef
Immune profiling may improve risk stratification in early-stage colorectal carcinoma
Ruben Oganesyan, Berk Kaan Aktas, Soo Hyun Lee, Amaya Pankaj, Omer Yilmaz, Deepa Patil, Vikram Deshpande, Osman Yilmaz
Human Pathology.2026; 167: 105987. CrossRef
Interpretable machine learning-based predictive model for malnutrition in subacute post-stroke patients: an internal and external validation study
Ping Sun, Junqi Luan, Guotao Duan, Qingqing Sun, Genli Liu
Frontiers in Nutrition.2026;[Epub] CrossRef
Electrochemical biosensors application in diagnosis of lung Cancer and adenocarcinoma and discovery of autophagy gene characteristics: Molecular mechanisms of CFLAR and ERBB2
Jiashuo Wang, Kaiming Ren, Jungang Zhao, Xiwen Wang
Microchemical Journal.2026; 221: 117072. CrossRef
Optimal Lymph Node Count for Colorectal Cancer Surgery: A Cohort Study Utilizing Real-World Data
Xu Sun, Rui Li, Wen Zhao, Sizhe Wang, Hao Liu, Wenxing Gao, Xianqiang Liu, Dingchang Li, Guanglong Dong
Surgical Laparoscopy, Endoscopy & Percutaneous Techniques.2026;[Epub] CrossRef
Single-cell sequencing analysis and machine learning model reveal aberrant TIM-3 expression in microglia during Alzheimer’s disease progression
Zongtang Xu, Minshan Chen, Fengchu Liang, Siyuan Song, Jiawen Lei, Xingting Huang, Di Hu, Ling Tang, Pingyi Xu, Lin Lu
Journal of Translational Medicine.2026;[Epub] CrossRef
Development and Validation of a Novel Thrombosis Prediction Model for Adult Immune Thrombocytopenia (ITP-THROMBO)
Huiling Yan, Xing Hu, Lijun Zhu, Yuhan Jiang, Chen Luo, Mengya Lv, Yan Wang, Juan Tong, Changcheng Zheng
Journal of Blood Medicine.2026; Volume 17: 1. CrossRef
Machine Learning-Driven Personalized Risk Prediction: Developing an Explainable Sarcopenia Model for Older European Adults with Arthritis
Xiao Xu
Journal of Clinical Medicine.2026; 15(3): 1022. CrossRef
Childhood dyslexia risk elevated by heavy metal mixtures from e-waste: A machine learning–driven mixture modeling study
Xinle Yu, Xuanzhi Zhang, Wanyi Wen, Xiaoqi Lin, Xuanzi Xia, Dinghui Wang, Kusheng Wu, Yanhong Huang
Environmental Pollution.2026; 394: 127745. CrossRef
Artificial intelligence and multi-omics nominate TAZ as an insomnia-related diagnostic and druggable target for Parkinson’s disease patients
Wenjing Ma
Frontiers in Aging Neuroscience.2026;[Epub] CrossRef
Increased Erythrocyte Osmotic Fragility as a Risk Factor for Predicting Glaucoma
Jialiang Yang, Fang Yang, Kecheng Li, Junming Gu, Yilian Cheng, Qian Luo, Fang Hao, Bo Gong, Houbin Zhang
Translational Vision Science & Technology.2026; 15(2): 4. CrossRef
Identification and validation of biomarkers of Shenggu Zaizao Wan in the treatment of steroid-induced osteonecrosis of the femoral head by integrating network pharmacology and bulk transcriptomic
Tao Ma, Duoxian Wang, Qingsheng Xie, Yin Li, Jinpeng Wang, Xiaogang Zhang, Lingwei Yuan, Hairong He, Xianfu Han, Xuerui Liu, Jianjun Liu, Haiyang Yu, Jinqiu Wu
Frontiers in Medicine.2026;[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.2025; 62(3): 465. CrossRef
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
Identification and validation of immune-related biomarkers and polarization types of macrophages in keloid based on bulk RNA-seq and single-cell RNA-seq analysis
Yuzhu Zhang, Chenglong Fang, Lizhong Zhang, Fengyu Ma, Meihong Sun, Ning Zhang, Nan Bai, Jun Wu
Burns.2025; 51(3): 107413. CrossRef
Comprehensive analysis of mitochondrial solute carrier family 25 (SLC25) identifies member 19 (SLC25A19) as a regulatory factor in hepatocellular carcinoma
Xueke Gao, Yangtao Xu, Xinyao Hu, Jiayu Chen, Daoming Zhang, Ximing Xu
Gene.2025; 944: 149299. CrossRef
A dynamic nomogram predicting nosocomial infections in patients after colon cancer surgery
Xue Yao, Shuhui Wang, Anning Lu, Yun Xu, Na Li
Frontiers in Oncology.2025;[Epub] CrossRef
Machine learning models to predict 6-month mortality risk in home-based hospice patients with advanced cancer
Wan Cheng, Jianwei Zheng, Yuanfeng Lu, Guojuan Chen, Zheng Zhu, Hong Wu, Yitao Wei, Huimin Xiao
Asia-Pacific Journal of Oncology Nursing.2025; 12: 100679. CrossRef
Interpretable machine learning model for predicting depression in middle-aged and elderly Chinese arthritis patients: A nationwide prospective cohort study
Xiao Xu, Hai-Yan Huang, Shu-yun Wang, Shen-Yee Tan, Hong-Hui Chen, Ming-Ming Zhou, Mei-juan Qian
Archives of Gerontology and Geriatrics.2025; 134: 105810. CrossRef
Identification of nitric oxide-related key genes in pulmonary hypertension via bioinformatics and in vitro validation for therapeutic target discovery
Zhuyang Chu, Yiming Li, Jianjun Ge
Computer Methods in Biomechanics and Biomedical Engineering.2025; : 1. CrossRef
Prediction of Lymph Node Metastasis in Colorectal Cancer Using Intraoperative Fluorescence Multi-Modal Imaging
Xiaobo Zhu, He Sun, Yuhan Wang, Gang Hu, Lizhi Shao, Song Zhang, Fucheng Liu, Chongwei Chi, Kunshan He, Jianqiang Tang, Yu An, Jie Tian, Zhenyu Liu
IEEE Transactions on Medical Imaging.2025; 44(3): 1568. CrossRef
Tertiary Lymphoid Structures Are Associated with Enhanced Macrophage Activation and Immune Checkpoint Expression and Predict Outcome in Cervical Cancer
Laurent Gorvel, Marylou Panouillot, Marie-Sarah Rouvière, Emilien Billon, Stéphane Fattori, Jumaporn Sonongbua, Nicolas Boucherit, Amira Ben Amara, Olivia Quilichini, Samuel Granjeaud, Clara Degos, Jacques A. Nunès, Xavier Carcopino, Eric Lambaudie, Anne-
Cancer Immunology Research.2025; 13(5): 712. CrossRef
A predictive model for the transformation from cervical inflammation to cancer based on tumor immune-related factors
Wenjie Wang, Chuntao Huang, Shiwen Bi, Huiting Liang, Songlin Li, Tingting Lu, Ben Liu, Yong Tang, Qi Wang
Frontiers in Immunology.2025;[Epub] CrossRef
Application of an interpretable machine learning method to predict the risk of death during hospitalization in patients with acute myocardial infarction combined with diabetes mellitus
Zhijun Bu, Siyu Bai, Chan Yang, Guanhang Lu, Enze Lei, Youzhu Su, Zhaoge Han, Muyan Liu, Jingge Li, Linyan Wang, Jianping Liu, Yao Chen, Zhaolan Liu
Acta Cardiologica.2025; 80(4): 358. CrossRef
Ferroptosis regulation by traditional chinese medicine for ischemic stroke intervention based on network pharmacology and data mining
Jun Lei, Wei Chen, Yaodong Gu, Xueyan Lv, Xingyu Kang, Xicheng Jiang, Ruo Wang
PLOS ONE.2025; 20(4): e0321751. CrossRef
Establishment and validation of a nomogram model for surgical site infections after posterior lumbar interbody fusion: a retrospective observational study
Zongke Long, Xiaole Hu, Jian Liu, Peiyun Zhou, Bingyan Zhang, Simeng Zhang, Huimin Wei, Wenran Qu, Xiaorong Luan
Neurosurgical Review.2025;[Epub] CrossRef
Identification of m5C RNA modification-related gene signature for predicting prognosis and immune microenvironment-related characteristics of heart failure
Zirui Liu, Rui Feng, Ying Xu, Meili Liu, Haocheng Wang, Yu Lu, Weiqi Wang, Jikai Wang, Cao Zou
Hereditas.2025;[Epub] CrossRef
CLDN9 and hsa-miR-4496 as non-invasive biomarkers for gastric cancer detection
Qiongxia Hu, Lu Han, Jinglin Wang, Fei Li, Hongfei Pu, Yue Shi
Discover Oncology.2025;[Epub] CrossRef
Development and validation of a nomogram model of lung metastasis in breast cancer based on machine learning algorithm and cytokines
Zhaoyi Li, Hao Miao, Wei Bao, Lansheng Zhang
BMC Cancer.2025;[Epub] CrossRef
Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks
Zhenzhen Li, Jingwen Li, Sifan Li, Yangyang Wang, Jihan Wang
Biomedicines.2025; 13(5): 1067. CrossRef
Clinical potential and experimental validation of prognostic genes in hepatocellular carcinoma revealed by risk modeling utilizing single cell and transcriptome constructs
Hang Deng, Xu Wang, Zi-Ang Jiang, Jian Xu, Yu Zhang, Yao Zhou, Jun Gong, Xiang-Yu Lu, Yi-Fu Hou, Hao Zhang
Frontiers in Immunology.2025;[Epub] CrossRef
Identifying GAP43, NMU, and TEX29 as Potential Prognostic Biomarkers for COPD Combined With Lung Cancer Patients Using Machine Learning
Zhilong Xu, Kaiyao Zhang, Ao Zeng, Yanze Yin, KeYi Chen, Chao Wang, Xinyun Fang, Abudumijiti Abuduwayiti, JiaRui Wang, Jie Dai, Gening Jiang
The Journal of Gene Medicine.2025;[Epub] CrossRef
Identification of DSC2 as a Key Biomarker for Induction Chemotherapy Sensitivity in Locally Advanced Laryngeal and Hypopharyngeal Squamous Cell Carcinoma
Qianyue Yang, Jiayi Liu, Zhiwei Lin, Shuang Liu, Zhaoming Hu, Xiaowen Zhang, Baoqing Sun
Journal of Chemical Information and Modeling.2025; 65(12): 5899. CrossRef
The Construction of a New Prognostic Model of Breast Cancer and the Exploration of Drug Sensitivity Based on Machine Learning for Glycosylation-Related Genes
Jia-Ning Zhang, Xi-Rui Zhou, Zi-Lu Yi, Xin-Yu Tian, Hong Liu
Clinical Breast Cancer.2025; 25(6): e756. CrossRef
Multi-Omics-Based Analysis of the Effect of Longevity Genes on the Immune Relevance of Colorectal Cancer
Yichu Huang, Guangtao Min, Hongpeng Wang, Lei Jiang
Biomedicines.2025; 13(5): 1085. CrossRef
EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis
Zhi-Yang Zhao, Chang-Ling Huang, Tong-Min Wang, Shi-Hao Zhou, Lu Pei, Wen-Hui Jia, Wei-Hua Jia
Diagnostics.2025; 15(9): 1156. CrossRef
Identification of thyroid cancer biomarkers using WGCNA and machine learning
Gaofeng Hu, Wenyuan Niu, Jiaming Ge, Jie Xuan, Yanyang Liu, Mengjia Li, Huize Shen, Shang Ma, Yuanqiang Li, Qinglin Li
European Journal of Medical Research.2025;[Epub] CrossRef
Identification of neutrophil extracellular trap-related biomarkers in ulcerative colitis based on bioinformatics and machine learning
Jiao Li, Yupei Liu, Zhiyi Sun, Suqi Zeng, Caisong Zheng
Frontiers in Genetics.2025;[Epub] CrossRef
Correlation Analysis Between Low-Density Lipoprotein and Clinical Prognosis in Aneurysmal Subarachnoid Hemorrhage: A Single-Center Study
Zhixing Wang, Yongxing Li, Mengdi Gao, Yifan Xu, Zhe Wang
Journal of Craniofacial Surgery.2025; 36(6): e757. CrossRef
Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning
Yifan Xu, Chonghui Zhang, Jinpeng Wu, Pin Guo, Nan Jiang, Chao Wang, Yugong Feng
Frontiers in Immunology.2025;[Epub] CrossRef
Machine learning assists regulated cell death crucial biomarker selection in adenocarcinoma of the lung: biological data testing and cell assay determination
Han Ning, Ying Jiang, Mengli Zheng, Gao Yang, Lianjun Ma, Yachao Zhao
Discover Oncology.2025;[Epub] CrossRef
Predicting the risk of lean non-alcoholic fatty liver disease based on interpretable machine models in a Chinese T2DM population
Shixue Bao, Qiankai Jin, Tieqiao Wang, Yushan Mao, Guoqing Huang
Frontiers in Endocrinology.2025;[Epub] CrossRef
Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning
Ru-Nan Fang, Yang Zhou, Yang Shen, Yuan Sun, Jian-Hong Li
Frontiers in Chemistry.2025;[Epub] CrossRef
Hybrid Intelligence-Driven Nanopolymeric Sensor for Precise Electrochemical Vitamin C Analysis, Free from LoD: Application in Real Lemon Juice
Emre Dokuzparmak, Emine Sezer, Timuçin Güner, Esra Yaşar, Hilal Özçeli̇k, Sinan Akgöl
ACS Applied Electronic Materials.2025; 7(15): 6980. CrossRef
A risk model based on signature genes predicts prognosis and associates with tumor immunity, drug sensitivity in breast cancer
Yuan Li, Hao Li, Jichuan Quan, Ping Bi, Xuemei Liu, Yanwei Yao, Yanqin Peng, Congrui Wang, Xiaofang Gao, Junfang Duan, Xiaoru Wang, Jian Peng
Cancer Biomarkers.2025;[Epub] CrossRef
Tumor Budding as a Risk Factor for Lymph Node Metastasis and Local Recurrence in pT1 Colorectal Cancer: A Systematic Review and Meta-Analysis
Heng Zhang, Femke Simmer, Alessandro Lugli, Iris D. Nagtegaal
Gastro Hep Advances.2025; 4(9): 100713. CrossRef
Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018
Zu-Ming You, Yuan-Sheng Li, Fan-Shuo Meng, Rui-Xiang Zhang, Chen-Xi Xie, Zhijiang Liang, Ji-Yuan Zhou
Ecotoxicology and Environmental Safety.2025; 302: 118730. CrossRef
CT-based intratumoral and peritumoral radiomics to predict the treatment response to hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 in high-risk hepatocellular carcinoma cases: a multi-center study
Zihao Liu, Xinge Li, Yong Huang, Xu Chang, Hong Zhang, Xiaodong Wu, Yanzhao Diao, Fengling He, Junyong Sun, Baomin Feng, Hexin Liang
Hepatology International.2025; 19(6): 1397. CrossRef
Paternally Expressed Gene 10 Promoter Methylation Level as a Predictor of HBeAg Seroconversion in Chronic Hepatitis B Patients
Pengyu Luo, Nan Chen, Yuna Tang, Jing Wang, Pei Liu, Yuchen Fan, Huihui Liu, Kai Wang
Journal of Medical Virology.2025;[Epub] CrossRef
The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches
Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan
Frontiers in Genetics.2025;[Epub] CrossRef
Machine learning integration of bulk and single-cell RNA-seq data reveals glycolytic heterogeneity in colorectal cancer
Yuanyuan Du, Zefeng Miao, Peng Li, Dan Feng, Mulin Liu, Aifang Ji, Shijun Li
Medical Oncology.2025;[Epub] CrossRef
Identification and Experimental Validation of OS-Related Gene Sets Based on Integrated Analysis of Single-Cell and Bulk RNA Sequencing Data with Machine Learning in Patients with Sepsis
Linfeng Tao, Wei Tian, Ping Li, Yan Chen, Jun Liu
Inflammation.2025; 48(6): 4549. CrossRef
Prognostic Significance of R-Loops in Lung Adenocarcinoma: Implications for Immune Response and Drug Sensitivity
Jianjun Jiang, Yingxin Zhang, Biying Men, Yujing He, Liang Yun, Fangfang Li, Xuguang Rao, Kaican Cai, Shuan Rao
Cancer Management and Research.2025; Volume 17: 1625. CrossRef
Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study
Yiqu Wei, Wanqing Xu, Shuo Yang, Congfeng Zhang, Jia Wang, Xianyao Wan
Frontiers in Cellular and Infection Microbiology.2025;[Epub] CrossRef
Dendrobin A inhibits gastric cancer: Mechanistic insights supported by integrated evidence
Yonghao Fan, Yan Chen, Wenyan Lu, Kaijia Shi, Yangyang Zhao, Cheng Zhang, Zhihua Shen, Shaojiang Zheng, Wei Jie
Phytomedicine.2025; 147: 157215. CrossRef
Analysis of the toxicity and mechanisms of osteoporosis caused by cigarette toxicants using network toxicology and molecular docking techniques
Wenbo Xie, Chao Song, Pandeng Hao, Feilong Li, Xianghan Hou, Jingwen Chen, Zongchao Liu, Zhenlong Wang
Science of The Total Environment.2025; 1000: 180414. CrossRef
Machine Learning Integration of Bulk and Single-Cell RNA-Seq Data Reveals Cathepsin B as a Central PANoptosis Regulator in Influenza
Bin Liu, Lin Zhu, Caijuan Zhang, Dunfang Wang, Haifan Liu, Jianyao Liu, Jingwei Sun, Xue Feng, Weipeng Yang
International Journal of Molecular Sciences.2025; 26(17): 8533. CrossRef
Prediction Models of Microinvasive Cervical Cancer in High-Grade Squamous Intraepithelial Lesion Treatment by Loop Electrosurgical Excision Procedure
Maodan Huang, Xiaohong Chen, Xin Lin, Yuxiang Yang, Lu Liu, Youzhong Zhang, Ronglong Wang, Wei Chen
Risk Management and Healthcare Policy.2025; Volume 18: 2921. CrossRef
WGCNA-Based Identification of Hub Genes and Key Pathways Involved in Obesity
Yin Yuan, Shujiao Yue, Zixuan Wu, Xuan Sun, Hongwu Wang
Molecular Biotechnology.2025;[Epub] CrossRef
Interpretable Machine Learning Models for Predicting Lateral Pelvic Lymph Node Metastasis in Rectal Cancer: A Chinese Multicenter Retrospective Study
Tixian Xiao, Wei Zhao, Zhen Sun, Fangze Wei, Fuqiang Zhao, Fei Huang, Zeyu Wu, Junge Bai, Xin Wang, Qian Liu
JCO Precision Oncology.2025;[Epub] CrossRef
Predicting intraoperative blood loss risk in severe lumbar disc herniation patients undergoing PLIF: a multicenter cohort study using ensemble learning
Ning Shen, Yusi Zhang, Zhendong Ding, Runmin Li, Xubin Quan, Xiaozhu Liu, Yang Zhang, Tianyu Xiang, Yingang Zhang, Chengliang Yin, Wenle Li
International Journal of Surgery.2025; 111(9): 5904. CrossRef
Polybrominated diphenyl ether profiles in adipose tissues of breast cancer patients and their carcinogenic potential investigation based on network toxicology and molecular docking
Qihao Zhao, Xi Liu, Haoyi Chen, Yingming Jin, Qian Chen, Yiteng Huang, Lin Peng
Frontiers in Chemistry.2025;[Epub] CrossRef
Role of SAA1 in mediating renal fibrosis through TLR4-dependent NF-κB activation
Xiao Wei, Lixiang Feng, Yuan Yuan, Qihui Kuang, Hong Yu, Jun Yang, Xiong Wang, Pengcheng Luo
BMC Nephrology.2025;[Epub] CrossRef
Mendelian Randomization and Machine Learning Reveal Immune Cell and Gene Drivers in Systemic Lupus Erythematosus
Luofei Huang, Jian shi, Han Li, Quanzhi Lin
Brain and Behavior.2025;[Epub] CrossRef
Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis
Fanhai Bu, Runlu Cai, Wei Zhang, Xiaohong Tang, Guiyun Cui, Xinxin Yang
Frontiers in Neurology.2025;[Epub] CrossRef
Relationships Among Mobile Internet Use, Social Support, and Depressive Symptoms: Prospective Cohort Study Among Community Residents
Yingyue Xu, Meiqi Wang, Qixiu Li, Xiaoying Su, Long Sun
Journal of Medical Internet Research.2025; 27: e76567. CrossRef
Optimizing methane catalytic hydrogen production via a hybrid Boruta-XGB and stacking ensemble machine learning framework
Xinyi Liu, Yaxuan Heng, Linmeng Zhou, Huiru Gao, Yanyan Ji, Wu Zhang
International Journal of Hydrogen Energy.2025; 181: 151812. CrossRef
Prediction of prognosis in T4 or N3 locally advanced nasopharyngeal carcinoma receiving chemoradiotherapy using machine learning methods
Zheng Ma, Weijie Liu, Xiaoya Luo, Xinran Niu, Yanmei Li, Yuanling Ma, Li Hou
Frontiers in Oncology.2025;[Epub] CrossRef
Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms
Xinying Yu, Lianyu Li, Qiang He
Frontiers in Medicine.2025;[Epub] CrossRef
Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability
Xuechao Hao, Yaqiang Wang, Ke Li, Tao Zhu, Vitaly Herasevich
Anesthesiology and Perioperative Science.2025;[Epub] CrossRef
The diagnostic accuracy of deep learning-based AI models in predicting lymph node metastasis in T1 and T2 colorectal cancer: A systematic review and meta-analysis
Qihong Guo, Ruiping Wang, Yichen Guo
Medicine.2025; 104(45): e45172. CrossRef
Identification of mitochondrial-related genes to evaluate the immune infiltration and prognosis of lung adenocarcinoma
Yutong Ge, Ao Sun, Tao Yu, Shaokun Yu, Kaihua Lu
PeerJ.2025; 13: e20262. CrossRef
The toxicological impact of PET-MPs exposure on atherosclerosis: insights from network toxicology, molecular docking, and machine learning
Qiang Wang, Hu Liang, Lang Li
Scientific Reports.2025;[Epub] CrossRef
HPCSMN: A Classification Method of Chemotherapy Sensitivity of Hypopharyngeal Cancer Based on Multimodal Network
Weiqi Fu, Haiyan Li, Xiongwen Quan, Xudong Wang, Wanwan Huang, Han Zhang
Interdisciplinary Sciences: Computational Life Sciences.2025;[Epub] CrossRef
Predicting Age-Related Hearing Loss in Community-Dwelling Older Adults: Multicenter Retrospective Cohort Study
Jing Li, Shuai Jin, Liu Sun, Jun-E Liu, Qiang Shen, Miao Shang, Hanting Wang, Yuanyuan Zhao
Interactive Journal of Medical Research.2025; 14: e81135. CrossRef
Development and explanation of a machine learning model for identifying non-localized early-onset T1 colorectal cancer
Yin Zhang, Fuzhou Han, Mingyu Zheng, Duo Xu, Nan Yao, Wenqiang Li, Jun Qu
Discover Oncology.2025;[Epub] CrossRef
Development and validation of an AI-augmented deep learning model for survival prediction in de novo metastatic colorectal cancer
Merih Yalçıner, Efe Cem Erdat, Engin Eren Kavak, Güngör Utkan
Discover Oncology.2025;[Epub] CrossRef
Inflammatory markers partially mediate the association between volatile organic compounds exposure and hyperlipidemia: a nationally representative cross-sectional study from NHANES
Yaxiong Nie, Zining He, Bei Liu, Jiaai Li, Yanyu Liu, Xin Su, Zhiqiang Yan, Zheng Li, Chang Yan, Qian Lu, Yanfang Fu, Wanyu Yang, Yutong He
Frontiers in Public Health.2025;[Epub] CrossRef
Clinical applications of artificial intelligence in the histopathology of lymphoma: diagnosis, treatment and prognosis
Mengyao Kang, Zibo Yang, Tian Yu, Dongyu Li, Zhiqiong Wang, Liting Chen
Discover Oncology.2025;[Epub] CrossRef
Targeting PSMB5-induced PANoptosis in bladder cancer: multi-omics insights and TCM candidate discovery
Zhe Chang, Jirong Wang, Jiajia Cao, Xinpeng Fan, Kunpeng Li, Chenyang Wang, Yalong Zhang, Li Wang, Jianwei Yang, Siyu Chen, Li Yang
Frontiers in Immunology.2025;[Epub] CrossRef
Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis
Guoliang Hou, Ahmad Alkhayyat, Ahmad Almalkawi, Anupam Yadav, H. S. Shreenidhi, Vishnu Saini, Shirin Shomurotova, Devendra Singh, Vatsal Jain, Aseel Smerat, Ahmad Khalid
Bioresources and Bioprocessing.2025;[Epub] CrossRef
Comprehensive molecular characterization of high-stemness gastric cancer cells using single-cell transcriptomics, spatial mapping, and machine learning
Ziyi Wang, Xuehao Li, Jin Wang, Huidong Yu, Defeng Zhao, Yan Xu, Siyu Zhou, Wanfu Men
npj Precision Oncology.2025;[Epub] CrossRef
Machine learning-based survival prediction in colorectal cancer combining clinical and biological features
Lucas M. Vieira, Natasha A.N. Jorge, João B. Sousa, João C. Setubal, Peter F. Stadler, Maria E.M.T. Walter
Oncotarget.2025; 16(1): 834. 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; 58(2): 220. 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
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

17,797 View
405 Download
189 Web of Science
189 Crossref

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

Abstract PDF Supplementary Material PubReader ePub

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

The Neutrophil-to-Lymphocyte Ratio May be the Best Serological Biomarker in Predicting Longer Survival in Neoadjuvant Treatment of Triple-Negative Breast Cancer
Gábor Rubovszky, Norbert Mészáros, Zoltán Mátrai, Ákos Sávolt, Mihály Újhelyi, Balázs Madaras, Erna Ganofszky, Tamás Pintér, Barna Budai
Cancer Investigation.2026; 44(1): 51. CrossRef
CRP, NLR, and PLR Dynamics in Non‐Metastatic Breast Cancer Patients Receiving Chemotherapy: Associations With Nutritional and Clinical Factors
Júlia Anhoque Cavalcanti Marcarini, Luiz Claudio Barreto Silva Neto, Wesley Rocha Grippa, Karoline Neumann Gomes, Leticia Batista de Azevedo, Naira Santos D'Agostini, Raphael Manhaes Pessanha, Karolini Zuqui Nunes, Andressa Bolsoni‐Lopes, Luís Carlos Lope
Cancer Medicine.2026;[Epub] CrossRef
PD-1, PD-L1, and PD-L2 Expression as Predictive Markers in Rare Feline Mammary Tumors
Maria Franco, Fernanda Seixas, Maria dos Anjos Pires, Anabela Alves, Andreia Santos, Carla Marrinhas, Hugo Vilhena, Joana Santos, Pedro Faísca, Patrícia Dias-Pereira, Adelina Gama, Jorge Correia, Fernando Ferreira
Veterinary Sciences.2025; 12(8): 731. CrossRef
Immunohistochemical Expression of Programmed Cell Death Ligand 1 in Triple Negative Breast Cancer: A Pilot Study
Joxce Pazhayattil, C. S. Sheeladevi, K. R. Shouree
Indian Journal of Gynecologic Oncology.2025;[Epub] CrossRef
Prognostic factors for early-stage triple-negative breast cancer with a focus on neutrophil-to-lymphocyte ratio: A single-center retrospective study
Yu-Kwang Lee, Chen-Yang Hsu, Ming-Yang Wang, Wen-Hung Kuo, Huang-Chun Lien, Yi-Hsuan Lee, Chiao Lo, Chiun-Sheng Huang
Taiwanese Journal of Obstetrics and Gynecology.2025; 64(6): 1030. CrossRef
The Evaluation of Diagnostic, Prognostic, and Predictive Role of Hematologic Inflammatory Indices NLR, PLR, and LMR in Common Solid Tumors
Fatemeh Arianmanesh, Saeede Bagheri, Mohammad Ali Karimi, Saba Izadi, Mohammad Hossein Ahmadi
Cancer Reports.2025;[Epub] CrossRef
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

13,647 View
583 Download
61 Web of Science
52 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 Res Treat. 2019;51(1):80-89. Published online February 26, 2018; DOI: https://doi.org/10.4143/crt.2017.500

Abstract PDF PubReader ePub

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

The role of immunoproteasome in diabetes and diabetes-related complications
Mengwen Wang, Lingyun Luo, Lei Dai, Hesong Zeng, Hongjie Wang
Genes & Diseases.2026; 13(3): 101861. CrossRef
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
Recent Advances in the Development of Immunoproteasome Inhibitors as Anti-Cancer Agents: The Past 5 Years
Francesca Mancuso, Carla Di Chio, Francesca Di Matteo, Gerardina Smaldone, Nunzio Iraci, Salvatore Vincenzo Giofrè
Molecules.2025; 30(3): 755. CrossRef
Unraveling UPR-mediated intercellular crosstalk: Implications for immunotherapy resistance mechanisms
Si Lu, Qimin Zhou, Rongjie Zhao, Lei Xie, Wen-Ming Cao, Yu-Xiong Feng
Cancer Letters.2025; 617: 217613. CrossRef
LMP7-Specific Inhibitor M3258 Modulates the Tumor Microenvironment of Triple-Negative Breast Cancer and Inflammatory Breast Cancer
Xuemei Xie, Jangsoon Lee, Ganiraju C. Manyam, Troy Pearson, Gina Walter-Bausch, Manja Friese-Hamim, Sheng Zhao, Julia Jabs, Angela A. Manginelli, Nadine Piske, Thomas Mrowiec, Corinna M. Wolf, Bharat S. Kuntal, Debu Tripathy, Jing Wang, Michael P. Sanders
Cancers.2025; 17(11): 1887. CrossRef
From oncogenesis to prognosis: the roles of the immunoproteasome in cancer
Delphine Béland, Mélissa Viens, Emma Mary Kalin, Marie-Claude Bourgeois-Daigneault
Frontiers in Immunology.2025;[Epub] CrossRef
Current landscape of the immunoproteasome: implications for disease and therapy
Zifeng Zou, Yanglin Hao, Zetong Tao, Weicong Ye, Zilong Luo, Xiaohan Li, Ran Li, Kexiao Zheng, Jiahong Xia, Chao Guo, Xi Zhang, Jie Wu
Cell Death Discovery.2025;[Epub] CrossRef
Protein post-translational modifications and tumor immunity: A pan-cancer perspective
Haoling Zhang, Qilu Yan, Shuya Jiang, Dan Hu, Ping Lu, Shaowei Li, Doblin Sandai, Haolong Zhang, Wangzheqi Zhang, Chenglong Zhu
Physics of Life Reviews.2025; 55: 142. 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, Benjam
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

11,546 View
319 Download
31 Web of Science
34 Crossref

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

Abstract PDF PubReader ePub

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

13,368 View
275 Download
8 Web of Science
8 Crossref

First
Prev
Page of 1
Next
Last

Search