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- Gastrointestinal cancer
- Clinical Significance of Combining Preoperative and Postoperative Albumin-Bilirubin Score in Colorectal Cancer
- Doyoun Kim, Jae-Hoon Lee, Eun-Suk Cho, Su-Jin Shin, Hye Sun Lee, Hwa-Hee Koh, Kang Young Lee, Jeonghyun Kang
- Cancer Res Treat. 2023;55(4):1261-1269. Published online April 17, 2023
- DOI: https://doi.org/10.4143/crt.2022.1444
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Abstract
PDF
Supplementary Material
PubReader
ePub - Purpose
Albumin-bilirubin (ALBI) score is a well-known prognostic factor for various diseases, including colorectal cancer (CRC). However, little is known about the significance of postoperative ALBI score changes in patients with CRC.
Materials and Methods
A total of 723 patients who underwent surgery were enrolled. Preoperative ALBI (ALBI-pre) and postoperative ALBI (ALBI-post) scores were divided into low and high score groups. ALBI-trend was defined as a combination of four groups comprising the low and high ALBI-pre and ALBI-post score groups. Kaplan-Meier survival curves were used to compare the overall survival (OS) between the different ALBI groups. The Cox proportional hazards model was used to examine the independent relevant factors of OS. Stratification performance was compared between the different ALBI groupings using Harrell’s concordance index (C-index).
Results
ALBI-pre, ALBI-post, and ALBI-trend score groups were significant prognostic factors of OS in the univariable analysis. However, multivariable analysis showed that ALBI-trend was an independent prognostic factor while ALBI-pre and ALBI-post were not. The C-index of ALBI-trend (0.622; 95% confidence interval [CI], 0.587 to 0.655) was higher than that of ALBI-pre (0.589; 95% CI, 0.557 to 0.621; bootstrap mean difference, 0.033; 95% CI, 0.013 to 0.057) and ALBI-post (0.575; 95% CI, 0.545 to 0.605; bootstrap mean difference, 0.047; 95% CI, 0.024 to 0.074).
Conclusion
Combining ALBI-pre and ALBI-post scores is an independent prognostic factor of OS and shows superior predictive power compared to ALBI-pre or ALBI-post alone in patients with CRC. -
Citations
Citations to this article as recorded by
- Prognostic value of functional MRI and liver function synergy in hepatocellular carcinoma patients receiving combined locoregional-systemic therapy: A multicenter scoring model
Langlang Tang, Kaiqian Que, Yanfen Lan, Yimin Li, Bin Wang, Zhuting Fang
European Journal of Radiology.2026; 196: 112705. CrossRef - Associations of bilirubin, albumin, and the ALBI index with gastric cancer risk: a smoking-stratified prospective cohort study in men
Jong Won Shin, Ji-Won Lee, Nguyen Thien Minh, Sun Ha Jee
BMC Gastroenterology.2026;[Epub] CrossRef - Comparing laboratory toxicity of selective intra-arterial radionuclide therapy for primary and metastatic liver tumors: resin versus glass microspheres
Başak Soydaş-Turan, M. Fani Bozkurt, Gonca Eldem, Bora Peynircioglu, Omer Ugur, Bilge Volkan-Salanci
Annals of Nuclear Medicine.2025; 39(4): 373. CrossRef - Improvement of Hypoalbuminemia and Hepatic Reserve after Stent Placement for Postsurgical Portal Vein Stenosis
Naoya Kinota, Daisuke Abo, Ryo Morita, Koji Yamasaki, Takaaki Fujii, Daisuke Kato, Tasuku Kimura, Yusuke Sakuhara, Kazufumi Okada, Isao Yokota, Tatsuya Orimo, Tatsuhiko Kakisaka, Toru Nakamura, Satoshi Hirano, Kazuyuki Minowa, Kohsuke Kudo
Journal of Vascular and Interventional Radiology.2025; 36(4): 616. CrossRef - Gastrointestinal tumors of the small bowel: prognostic roles of tumor stage and inflammatory markers
Mehmet Torun, Sevil Özkan, Deniz Kol Özbay, Erkan Özkan
Anatolian Current Medical Journal.2025; 7(2): 164. CrossRef - Predictive value of preoperative serum cytokeratin 19 fragment antigen 21-1(CYFRA 21-1) in surgical resection for colorectal cancer: A retrospective study
Shuyuan Gu, Shihui Chen, Yuan Chai, Chao Qu, Xuejun Sun, Junhui Yu
Current Problems in Surgery.2025; 69: 101791. CrossRef - Sex-Specific Associations of Total Bilirubin, ALBI, and PALBI with Lung Cancer Risk: Interactions with Smoking and Alcohol
Jong Won Shin, Nguyen Thien Minh, Sun Ha Jee
Healthcare.2025; 13(11): 1321. CrossRef - Bilirubin Metabolism and Thyroid Cancer: Insights from ALBI and PALBI Indices
Jong Won Shin, Jae Woong Sull, Nguyen Thien Minh, Sun Ha Jee
Biomolecules.2025; 15(7): 1042. CrossRef - Hemoglobin-Albumin-Lymphocyte-Platelet Score as an Integrative Biomarker for Prognosis and Sarcopenia in Colorectal Cancer
Hailun Xie, Lishuang Wei, Shuangyi Tang, Jialiang Gan
Journal of Inflammation Research.2025; Volume 18: 14709. CrossRef - The association between the albumin-bilirubin score and postoperative delirium and prognosis in cardiac surgery patients: a retrospective dual-center cohort study using MIMIC-IV and eICU databases
Na Zhu, Xiejia Weng, Xinxin Wang, Huiyang Cai
BMC Surgery.2025;[Epub] CrossRef - The prognostic value of preoperative serum liver function-related indicators in colorectal cancer
Lang Wang, Jinshan Liu, Can Tan, Yuhang Diao, Lijuan Wang, Youyun Shi, Xinpeng Shu, Yong Cheng
Medicine.2025; 104(51): e46047. CrossRef - Research Progress of Albumin-Based Composite Markers in Prognosis Evaluation of Patients with Colorectal Cancer
Xu Lei, Jie Yu
Journal of Biosciences and Medicines.2025; 13(09): 24. CrossRef - Assessment of the albumin-bilirubin score in breast cancer patients with liver metastasis after surgery
Li Chen, Chunlei Tan, Qingwen Li, Zhibo Ma, Meng Wu, Xiaosheng Tan, Tiangen Wu, Jinwen Liu, Jing Wang
Heliyon.2023; 9(11): e21772. CrossRef
- Prognostic value of functional MRI and liver function synergy in hepatocellular carcinoma patients receiving combined locoregional-systemic therapy: A multicenter scoring model
- 6,718 View
- 195 Download
- 11 Web of Science
- 13 Crossref
- Association of Body Mass Index with Survival in Asian Patients with Colorectal Cancer
- Sangwon Lee, Dong Hee Lee, Jae-Hoon Lee, Su-Jin Shin, Hye Sun Lee, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Jeonghyun Kang
- Cancer Res Treat. 2022;54(3):860-872. Published online October 15, 2021
- DOI: https://doi.org/10.4143/crt.2021.656
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Abstract
PDFSupplementary MaterialPubReaderePub
- Purpose
The clinical significance of body mass index (BMI) on long-term outcomes has not been extensively investigated in Asian patients with colorectal cancer (CRC). This study aims to describe the association between BMI and survival, plus providing BMI cut-off value for predicting prognosis in CRC patients.
Materials and Methods
A total of 1,182 patients who had undergone surgery for stage I-III CRC from June 2004 to February 2014 were included. BMI was categorized into four groups based on the recommendation for Asian ethnicity. The optimal BMI cut-off value was determined to maximize overall survival (OS) difference.
Results
In multivariable analysis, underweight BMI was significantly associated with poor OS (hazard ratio [HR], 2.38; 95% confidence interval [CI], 1.55 to 3.71; p < 0.001) and obese BMI was associated with better OS (HR, 0.72; 95% CI, 0.53 to 0.97; p=0.036) compared with the normal BMI. Overweight and obese BMI were associated with better recurrence-free survival (HR, 0.64; 95% CI, 0.42 to 0.99; p=0.046 and HR, 0.58; 95% CI, 0.38 to 0.89; p=0.014, respectively) compared with the normal BMI group. BMI cutoff value was 20.44 kg/m2. Adding the BMI cutoff value to cancer staging could increase discriminatory performance in terms of integrated area under the curve and Harrell’s concordance index.
Conclusion
Compared to normal BMI, underweight BMI was associated with poor survival whereas obese BMI was associated with better survival. BMI cut-off value of 20.44 kg/m2 is a useful discriminator in Asian patients with CRC. -
Citations
Citations to this article as recorded by- Impact of overweight and obesity on gastric and colorectal cancer incidence in the older adults: a nationwide cohort study
Jinju Choi, Cheol Min Shin, Kyungdo Han, Jin-Hyung Jung, Se Yun Kim, Hyemin Jo, Ho-Kyoung Lee, Eun Hyo Jin, Seung Joo Kang, Joo Hyun Lim, Dong Ho Lee
BMC Geriatrics.2026;[Epub] CrossRef - Survival Outcomes of Patients With Colorectal Cancer After Primary Surgery: A Population‐Based Study in Hainan, China
Le Du, Luyao Sun, Dongsheng Ge, Mingfa Wang, Benguo Yu, Wenjun Yang, Wenlong Yang, Ruyuan An, Junchao Li, Jike Zhu, Zaipan Wang, Ning Liu, Wenting Cao
Cancer Medicine.2026;[Epub] CrossRef - Comment on “Dense Tumor‐Infiltrating Lymphocytes (TILs) in Liver Metastasis From Colorectal Cancer Are Related to Improved Overall Survival”
Fuji Lai, Sheng Li, Zhonglei Shen
Journal of Surgical Oncology.2025; 131(4): 566. CrossRef - Body mass index, weight change, and cancer prognosis: a meta-analysis and systematic review of 73 cohort studies
H. Wen, G. Deng, X. Shi, Z. Liu, A. Lin, Q. Cheng, J. Zhang, P. Luo
ESMO Open.2024; 9(3): 102241. CrossRef - Trends in Anticoagulant Utilization and Clinical Outcomes for Cancer-Associated Thrombosis: A Multicenter Cohort Study in Thailand's Upper-Middle–Income Country Setting
Kirati Kengkla, Surakit Nathisuwan, Warunsuda Sripakdee, Pirun Saelue, Kwanruethai Sengnoo, Aumkhae Sookprasert, Suphat Subongkot
JCO Global Oncology.2024;[Epub] CrossRef - Post‐diagnosis adiposity and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta‐analysis
Nerea Becerra‐Tomás, Georgios Markozannes, Margarita Cariolou, Katia Balducci, Rita Vieira, Sonia Kiss, Dagfinn Aune, Darren C. Greenwood, Laure Dossus, Ellen Copson, Andrew G. Renehan, Martijn Bours, Wendy Demark‐Wahnefried, Melissa M. Hudson, Anne M. Ma
International Journal of Cancer.2024; 155(3): 400. CrossRef - Low muscle mass-to-fat ratio is an independent factor that predicts worse overall survival and complications in patients with colon cancer: a retrospective single-center cohort study
Jiabao Tang, Jingwen Xu, Xiaohua Li, Chun Cao
Annals of Surgical Treatment and Research.2024; 107(2): 68. CrossRef - Obesity, the Adipose Organ and Cancer in Humans: Association or Causation?
Elisabetta Trevellin, Silvia Bettini, Anna Pilatone, Roberto Vettor, Gabriella Milan
Biomedicines.2023; 11(5): 1319. CrossRef - Higher body mass index was associated with better prognosis in diabetic patients with stage II colorectal cancer
Xiao-Yu Liu, Bing Kang, Yu-Xi Cheng, Chao Yuan, Wei Tao, Bin Zhang, Zheng-Qiang Wei, Dong Peng
BMC Cancer.2022;[Epub] CrossRef - Preoperative carcinoembryonic antigen to body mass index ratio contributes to prognosis prediction in colorectal cancer
Jia Xiang, Mengyao Ding, Jixing Lin, Tianhui Xue, Qianwen Ye, Bing Yan
Oncology Letters.2022;[Epub] CrossRef
- Impact of overweight and obesity on gastric and colorectal cancer incidence in the older adults: a nationwide cohort study
- 11,402 View
- 161 Download
- 12 Web of Science
- 10 Crossref
- Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
- Mohamed Hosny Osman, Reham Hosny Mohamed, Hossam Mohamed Sarhan, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Jeonghyun Kang
- Cancer Res Treat. 2022;54(2):517-524. Published online June 15, 2021
- DOI: https://doi.org/10.4143/crt.2021.206
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Abstract
PDFSupplementary MaterialPubReaderePub
- Purpose
Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets.
Materials and Methods
A total of 364,316 and 1,572 CRC patients were included from the Surveillance, Epidemiology, and End Results (SEER) and a Korean dataset, respectively. As SEER combines data from 18 cancer registries, internal validation was done using 18-Fold-Cross-Validation then external validation was performed by testing the trained model on the Korean dataset. Performance was evaluated using area under the receiver operating characteristic curve (AUROC), sensitivity and positive predictive values.
Results
Clinicopathological characteristics were significantly different between the two datasets and the SEER showed a significant lower 5-year survival rate compared to the Korean dataset (60.1% vs. 75.3%, p < 0.001). The ML-based model using the Light gradient boosting algorithm achieved a better performance in predicting 5-year-survival compared to American Joint Committee on Cancer stage (AUROC, 0.804 vs. 0.736; p < 0.001). The most important features which influenced model performance were age, number of examined lymph nodes, and tumor size. Sensitivity and positive predictive values of predicting 5-year-survival for classes including dead or alive were reported as 68.14%, 77.51% and 49.88%, 88.1% respectively in the validation set. Survival probability can be checked using the web-based survival predictor (http://colorectalcancer.pythonanywhere.com).
Conclusion
ML-based model achieved a much better performance compared to staging in individualized estimation of survival of patients with CRC. -
Citations
Citations to this article as recorded by- Explainable AI for colorectal cancer mortality and risk factor prediction in Korea: A nationwide cancer cohort study
Sang Won Park, Na Young Yeo, Tae-Hoon Kim, Myoung Nam Lim, Inhyeok Yim, Oh Beom Kwon, Seung-Joo Nam, Hui-Young Lee, Woo Jin Kim
International Journal of Medical Informatics.2026; 205: 106125. CrossRef - A clinical visualization model for predicting distant metastasis and prognostic outcomes in mucinous adenocarcinoma of the appendix: a SEER database study
Xiaoming Xu, Hualei Chen, Jingzhi Wang
Expert Review of Anticancer Therapy.2026; 26(1): 131. CrossRef - Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam
Advanced Intelligent Systems.2026;[Epub] CrossRef - Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial
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JMIR AI.2026; 5: e68994. CrossRef - A Hybrid Deep and Machine Learning Framework with Feature Selection for Automated Classification of Acute Lymphoblastic Leukemia
Husne Farah, Fahmida Islam, Shuvo Biswas, Mohammad Shorif Uddin
Journal of Computer and Communications.2026; 14(03): 278. CrossRef - Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms
Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar
Heliyon.2025; 11(1): e41443. CrossRef - Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review
Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams
Health Science Reports.2025;[Epub] CrossRef - Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review
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BMC Medical Research Methodology.2025;[Epub] CrossRef - Personalized surveillance in colorectal cancer: Integrating circulating tumor DNA and artificial intelligence into post-treatment follow-up
Ionut Negoi
World Journal of Gastroenterology.2025;[Epub] CrossRef - Association of sarcopenia with all-cause and cause-specific mortality in cancer patients: development and validation of a 3-year and 5-year survival prediction model
Feng Cui, Xiangji Dang, Daiyun Peng, Yuanhua She, Yubin Wang, Ruifeng Yang, Zhiyao Han, Yan Liu, Hanteng Yang
BMC Cancer.2025;[Epub] CrossRef - Interpretable machine learning models based on body composition and inflammatory nutritional index (BCINI) to predict early postoperative recurrence of colorectal cancer: Multi-center study
Yongjie Zhou, Jinhong Zhao, Fei Zou, Yongming Tan, Wei Zeng, Jiahui Jiang, Jiale Hu, Qiao Zeng, Lianggeng Gong, Lan Liu, Linhua Zhong
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Jakob Woerner, Yonghyun Nam, Sang-Hyuk Jung, Manu Shivakumar, Matthew Lee, Eun Kyung Choe, Min Jung Kim, Rumi Shin, Seung-Bum Ryoo, Seung-Yong Jeong, Kyu Joo Park, Sung Chan Park, Dae Kyung Sohn, Jae Hwan Oh, Dokyoon Kim, Ji Won Park
European Journal of Surgical Oncology.2025; 51(9): 110194. CrossRef - Integrating inflammation, nutrition, and artificial intelligence: A new era in colorectal cancer prognostic scoring
Semra Demirli Atici, Aras Emre Canda, Mustafa Cem Terzi
World Journal of Gastroenterology.2025;[Epub] CrossRef - Artificial intelligence for predicting long-term outcomes in patients with colorectal cancer (a systematic review and meta-analysis)
R. Sh. Abdulaeva, V. I. Pavlova, T. G. Gevorkyan, Y. V. Belenkaya, M. Sh. Manukyan, S. S. Gordeev
Koloproktologia.2025; 24(4): 125. CrossRef - New perspectives on cancer clinical research in the era of big data and machine learning
Shujun Li, Hang Yi, Qihao Leng, You Wu, Yousheng Mao
Surgical Oncology.2024; 52: 102009. CrossRef - SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients
Ping Yang, Hang Qiu, Xulin Yang, Liya Wang, Xiaodong Wang
Computer Methods and Programs in Biomedicine.2024; 249: 108159. CrossRef - The development and validation of automated machine learning models for predicting lymph node metastasis in Siewert type II T1 adenocarcinoma of the esophagogastric junction
Chenghao Lu, Lu Liu, Minyue Yin, Jiaxi Lin, Shiqi Zhu, Jingwen Gao, Shuting Qu, Guoting Xu, Lihe Liu, Jinzhou Zhu, Chunfang Xu
Frontiers in Medicine.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 - Precision prognosis of colorectal cancer: a multi-tiered model integrating microsatellite instability genes and clinical parameters
Yonghong Wang, Ke Liu, Wanbin He, Jie Dan, Mingjie Zhu, Lei Chen, Wenjie Zhou, Ming Li, Jiangpeng Li
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Pradeep Kumar Yadalam, Prathiksha Vedhavalli Thirukkumaran, Prabhu Manickam Natarajan, Carlos M. Ardila
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Lanni Zhou, Lizhu Ouyang, Baoliang Guo, Xiyi Huang, Shaomin Yang, Jialing Pan, Liwen Wang, Ming Chen, Fan Xie, Yunjing Li, Yongxing Du, Xinjie Chen, Qiugen Hu, Fusheng Ouyang
MedComm – Future Medicine.2024;[Epub] CrossRef - An interactive web-based tool for predicting and exploring brain cancer survivability
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Tianzhi Huang, Dejin Le, Lili Yuan, Shoujia Xu, Xiulan Peng, Samuele Ceruti
PLOS ONE.2023; 18(1): e0280606. CrossRef - Application of Artificial Intelligence in Gastrointestinal Cancer
洪铭 崔
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Fan Zhang, Boqi Xu, Yao Peng, Zhongqi Mao
Journal of Cancer Research and Clinical Oncology.2023; 149(12): 9747. CrossRef - Using machine learning algorithms to predict 28-day mortality in critically ill elderly patients with colorectal cancer
Chunxia Guo, Jun Pan, Shan Tian, Yuanjun Gao
Journal of International Medical Research.2023;[Epub] CrossRef
- Explainable AI for colorectal cancer mortality and risk factor prediction in Korea: A nationwide cancer cohort study
- 15,073 View
- 377 Download
- 24 Web of Science
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- 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
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Abstract
PDFSupplementary MaterialPubReaderePub
- Purpose
The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning–based approach has not been widely studied.
Materials and Methods
Immunohistochemistry for TILs against CD3, CD8, and forkhead box P3 in both center and invasive margin of the tumor were performed using surgically resected T1 CRC slides. Three hundred and sixteen patients were enrolled and categorized into training (n=221) and validation (n=95) sets via random sampling. Using clinicopathologic variables including TILs, the least absolute shrinkage and selection operator (LASSO) regression model was applied for variable selection and predictive signature building in the training set. The predictive accuracy of our model and the Japanese criteria were compared using area under the receiver operating characteristic (AUROC), net reclassification improvement (NRI)/integrated discrimination improvement (IDI), and decision curve analysis (DCA) in the validation set.
Results
LNM was detected in 29 (13.1%) and 12 (12.6%) patients in training and validation sets, respectively. Nine variables were selected and used to generate the LASSO model. Its performance was similar in training and validation sets (AUROC, 0.795 vs. 0.765; p=0.747). In the validation set, the LASSO model showed better outcomes in predicting LNM than Japanese criteria, as measured by AUROC (0.765 vs. 0.518, p=0.003) and NRI (0.447, p=0.039)/IDI (0.121, p=0.034). DCA showed positive net benefits in using our model.
Conclusion
Our LASSO model incorporating histopathologic parameters and TILs showed superior performance compared to conventional Japanese criteria in predicting LNM in patients with T1 CRC. -
Citations
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Yubin Zhu, Yuqing Zhang, Xinni Li, Luyao Zhang, Zhixin Shen
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Tejaswini B, Sajitha Lulu S
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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
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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 - Identification and verification of diagnostic biomarkers related to matrisome in patients with knee osteoarthritis based on machine learning algorithms
Jianqiao Sun, Gongchang Yu, Yingjie Zhao, Jun Zhang, Bin Shi
Electronic Journal of Biotechnology.2026; 81: 100710. CrossRef - Potential mechanisms of Si-Wu-Tang against esophageal squamous cell carcinoma: A machine learning pharmacological study
Xinbo Li, Chenchen Zhang, Jing Li, Jianfeng Yuan, Tiantian Xing, Heyuan Yang, Huijuan Shi
Medicine.2026; 105(7): e47629. CrossRef - m5C: Novel Diagnostic and Drug Repurposing Targets for Nonalcoholic Steatohepatitis
Shuxian Chen, Renquan Duan, Jingyi Qiu, Zhiyu Lei, Wei Chen, Xiumei Li, Zhenyu Gong
International Journal of Genomics.2026;[Epub] CrossRef - Prediction of lymph node metastasis in T1 colorectal cancer based on machine learning
Suyujie Shi, Xiongwu Li, Linjun Li, Haowen Zhong, Ruoyan Wang, Zhenyu Zhang, Chuyi Liao, Yun Mao, Meijie Yang, Yaying Yang
PeerJ.2026; 14: e20500. CrossRef - Development and interpretable machine learning models for classification of pancreatic pseudocyst risk in acute pancreatitis
Hailong Feng, Ping Wang, Weihan He, Liwei Shang, Mingrui Cui, Keyang Wang, Kejia An, Yingjian Zhang
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Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav, Subhashree Ray, Kapil Ghai, Atreyi Pramanik, Shirin Shomurotova, Gunjan Garg, Ahmad Alkhayyat, Ahmad Abumalek
Chemical Papers.2026; 80(5): 5131. CrossRef - Bioinformatics approach to identifying molecular targets of Danlou tablet against atherosclerosis: a machine learning pharmacology study
Li Wang, Miaomiao Zhang, Hongli Wang, Sihan Peng, Xiaolun Liang, Guiyu Li, Danping Xu
Naunyn-Schmiedeberg's Archives of Pharmacology.2026; 399(7): 10691. CrossRef - CX3CL1/CX3CR1 axis dysregulation contributes to epileptogenic mechanisms in focal cortical dysplasia
Lei Lei, Shengyu Yang, Yinchao Li, Jiahao Tian, Yubao Fang, Tiancai Huang, Shuda Chen, Liemin Zhou
Acta Neuropathologica Communications.2026;[Epub] CrossRef - An interpretable machine learning model for predicting distant organ metastasis after radical resection of colorectal cancer
Lin Weibin, Ni Weixiang, Zhou Junwei, Hong Weixuan, Fang Junwei, Wang Meiping, Xiao Chunhong, Huang Guoliang
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Na Liu, Zhiyong Tan
Frontiers in Pediatrics.2026;[Epub] CrossRef - Development and validation of an online machine-learning tool for predicting delirium risk in older adults with type 2 diabetes: A retrospective cohort study based on the MIMIC-IV database
Lang Gao, Guangdong Wang, Xingyi Yang, Yuanshuo Ge, Shijun Tong, Xia Xiang, Chunyan Zhang, Yun Huang
Science Progress.2026;[Epub] CrossRef - Exploring histone acetylation in ischemic stroke: CREBBP and CKAP4 as candidate biomarkers linked to histone acetylation networks
Yanni Wang, Fan Yang, Jiaojiao Tan, Zhentao Guo
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Marzena Ciechomska, Maciej Oldak, Magdalena Massalska
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Peng Zou, Lin Sun, Zhibin Lin
Frontiers in Medicine.2026;[Epub] CrossRef - Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity
Houyan Huang, Yang Huang, Yuping Zhang, Ye Jiang, Pei Shi, Yingying Wang, Sujuan Liu, Ping Xu, Juanjuan Wang, Taocheng Zhou
3 Biotech.2026;[Epub] CrossRef - Structure characteristics of a polysaccharide isolated from safflower and its neuroprotective effects against cerebral ischemia/reperfusion injury by LASSO regression analysis of transcriptomic and metabolomic data
Wentao Li, Ruoqi Li, Yihang Lu, Weihao Chen, Jianjun Wu, Li Shen, Haitong Wan, Yu He
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Zhenghan Wu, Honglong Pei, Rongzhu Huang, Wenqiang Huang, Anbo Xiong, Zhuoqi Dong, Shipeng Li, Yuyun Chen, Wei Wang, Hualin Yu, Renli Qi, Jinghui Li
Molecular Neurobiology.2026;[Epub] CrossRef - Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-o
Xuemei Chen, Yifan Zhao, Xixi Guo, Qiushan Man, Ming Wang, Zhou Wang, Jun Cheng, Shijian Chen
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Yi Xin, Bin He, Xiao-Hui Wei, Ya-Ling Yan, Chen Huang, Chun-Yan Gao, Shuo Wang, Guang-Ming Zhang, Rui Li, Ying Wu
World Journal of Psychiatry.2026;[Epub] CrossRef - Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma
Jianhua Zha, Xiaoming Liu, Shansong Gao, Jiasi He, Zhi Zhang
Functional & Integrative Genomics.2026;[Epub] CrossRef - Construction and internal temporal validation of a LASSO regression-based risk assessment model for non-suicidal self-injury addiction-like features in adolescents and young adults with depression
Houqin Huang, Fengmei Lu, Shuiqin Cao, Chuan Jiang, Jianyan Peng, Yuhao Tong, Pengyuan Wang, Yi Liu, Zixiang Ye
Frontiers in Psychology.2026;[Epub] CrossRef - AI-Guided Ferroptosis Biomarker Discovery and Routine Laboratory–Based Machine Learning for Predicting Nodal Metastasis in Colon Cancer
Nail Besli, Talar Vartanoglu Aktokmakyan, Adil Koyuncu, Bahar Sarikamis Johnson, Ulkan Celik
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David Farkas, József Baracs, Zsombor Ritter, David Sipos
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Ahmed Oubaasri, Fatima Zahra El Mskini, Asmae Labyad, Rachida Hassikou, Aicha Madkour, Slimane Mehdad, Souad Benaich
Biostatistics & Epidemiology.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 - 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
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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
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Yuan Li, Hao Li, Jichuan Quan, Ping Bi, Xuemei Liu, Yanwei Yao, Yanqin Peng, Congrui Wang, Xiaofang Gao, Junfang Duan, Xiaoru Wang, Jian Peng
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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
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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 - 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 - 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 - Analysis of CSF2RA Expression and Its Functional and Clinical Significance in Gastric Cancer Based on Bioinformatics
Rong He, Yongle Li, Lin Jiang, Mingtao Luo, Shiquan Wei, Lihe Jiang
Journal of Biosciences and Medicines.2025; 13(09): 405. 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
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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?
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Identification of nitric oxide-related key genes in pulmonary hypertension via bioinformatics and
in vitro
validation for therapeutic target discovery
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- Which Patients with Isolated Para-aortic Lymph Node Metastasis Will Truly Benefit from Extended Lymph Node Dissection for Colon Cancer?
- Sung Uk Bae, Hyuk Hur, Byung Soh Min, Seung Hyuk Baik, Kang Young Lee, Nam Kyu Kim
- Cancer Res Treat. 2018;50(3):712-719. Published online July 14, 2017
- DOI: https://doi.org/10.4143/crt.2017.100
-
Abstract
PDFPubReaderePub
- Purpose
The prognosis of patientswith colon cancer and para-aortic lymph node metastasis (PALNM) is poor. We analyzed the prognostic factors of extramesenteric lymphadenectomy for colon cancer patients with isolated PALNM.
Materials and Methods
We retrospectively reviewed 49 patients with PALNM who underwent curative resection between October 1988 and December 2009.
Results
In univariate analyses, the 5-year overall survival (OS) and disease-free survival (DFS) rates were higher in patients with ≤ 7 positive para-aortic lymph node (PALN) (36.5% and 27.5%) than in those with > 7 PALN (14.3% and 14.3%; p=0.010 and p=0.027, respectively), and preoperative carcinoembryonic antigen (CEA) level > 5 was also correlated with a lower 5-year OS and DFS rate of 21.5% and 11.7% compared with those with CEA ≤ 5 (46.3% and 41.4%; p=0.122 and 0.039, respectively). Multivariate analysis found that the number of positive PALN (hazard ratio [HR], 3.291; 95% confidence interval [CI], 1.309 to 8.275; p=0.011) was an independent prognostic factor for OS and the number of positive PALN (HR, 2.484; 95% CI, 0.993 to 6.211; p=0.052) and preoperative CEA level (HR, 1.953; 95% CI, 0.940 to 4.057; p=0.073) were marginally independent prognostic factors for DFS. According to our prognostic model, the 5-year OS and DFS rate increased to 59.3% and 53.3%, respectively, in patients with ≤ 7 positive PALN and CEA level ≤ 5.
Conclusion
PALN dissection might be beneficial in carefully selected patients with a low CEA level and less extensive PALNM. -
Citations
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Nihon Daicho Komonbyo Gakkai Zasshi.2025; 78(2): 39. CrossRef - Does surgical intervention contribute to survival for patients with para‐aortic lymph node metastasis from colorectal cancer?
Akira Ouchi, Koji Komori, Sono Ito, Yusuke Kinugasa, Soichiro Ishihara, Akio Shiomi, Yukihide Kanemitsu, Takeshi Suto, Hiroki Takahashi, Yoichi Ajioka
Annals of Gastroenterological Surgery.2025; 9(5): 997. CrossRef - Long‐term outcomes and prognostic factor of metachronous para‐aortic lymph node metastasis in colorectal cancer
Takeru Matsuda, Sono Ito, Yusuke Kinugasa, Soichiro Ishihara, Akio Shiomi, Yukihide Kanemitsu, Yoshihiro Kakeji, Yoichi Ajioka
Colorectal Disease.2025;[Epub] CrossRef - Impact of multidisciplinary team intervention on long‐term survival in distant metastatic colorectal cancer: Single‐centre propensity score analyses
Tetsuo Sugishita, Yukihide Kanemitsu, Jun Imaizumi, Yasuyuki Takamizawa, Konosuke Moritani, Shunsuke Tsukamoto, Takeshi Takamoto, Satoshi Nara, Daisuke Ban, Masaya Yotsukura, Yukihiro Yoshida, Shun‐Ichi Watanabe, Hidekazu Hirano, Atsuo Takashima, Mototaka
Colorectal Disease.2025;[Epub] CrossRef - Long‐term outcomes of resection of synchronous paraaortic lymph node metastasis of left‐sided colorectal cancer: A multicentre study
Yusuke Tanaka, Akio Shiomi, Hiroyasu Kagawa, Shoichi Manabe, Yusuke Yamaoka, Shunsuke Kasai, Sono Ito, Shinichi Yamauchi, Yusuke Kinugasa, Yoichi Ajioka
Colorectal Disease.2025;[Epub] CrossRef - Prognostic factors of para-aortic lymph node metastasis from colorectal cancer in highly selected patients undergoing para-aortic lymph node dissection
Shin Emoto, Yosuke Fukunaga, Manabu Takamatsu, Hiroshi Kawachi, Shuhei Sano, Tetsuro Tominaga, Toshiki Mukai, Tomohiro Yamaguchi, Toshiya Nagasaki, Takashi Akiyoshi, Tsuyoshi Konishi, Satoshi Nagayama, Masashi Ueno
Surgery Today.2024; 54(4): 356. CrossRef - Metastatic Colorectal Cancer Treated with Combined Liver Resection, Cytoreductive Surgery, and Hyperthermic Intraperitoneal Chemotherapy (HIPEC): Predictive Factors for Early Recurrence
Rémi Grange, Pascal Rousset, Nicolas Williet, Mathias Guesnon, Laurent Milot, Guillaume Passot, Jean-Marc Phelip, Bertrand Le Roy, Olivier Glehen, Vahan Kepenekian
Annals of Surgical Oncology.2024; 31(4): 2378. CrossRef - Para-aortic Lymph Node Dissection for Colorectal Cancer: Predicting Pathologic Lymph Node Positivity and Optimizing Outcomes
Neal Bhutiani, Kentaro Ochiai, Muhammad O. Awiwi, Miguel A. Rodriguez-Bigas, Abhineet Uppal, Oliver Peacock, Craig Messick, Michael G. White, John M. Skibber, Brian K. Bednarski, Y. Nancy You, George J. Chang, Harmeet Kaur, Tsuyoshi Konishi
Annals of Surgical Oncology.2024; 31(9): 5962. CrossRef - Surgery for Infrarenal Retroperitoneal Node Metastases from Colon Cancer
Anne-Sophie Dulac, Pietro Genova, Olivier Benoit, Cindy Neuzillet, Mostapha El Hajjam, Jean-François Emile, Frédérique Peschaud, Renato Micelli Lupinacci
Journal of Gastrointestinal Cancer.2024; 55(3): 1306. CrossRef - Long-term Outcome After Surgical Resection of Para-aortic Lymph Node Metastasis of Colorectal Cancer: A Multicenter Retrospective Study
Sono Ito, Yusuke Kinugasa, Shinichi Yamauchi, Hiroyuki Sato, Akihiro Hirakawa, Soichiro Ishihara, Akio Shiomi, Yukihide Kanemitsu, Takeshi Suto, Hiroki Takahashi, Michio Itabashi, Manabu Shiozawa, Masaya Hiyoshi, Takaya Kobatake, Koji Komori, Hiroyuki Egi
Diseases of the Colon & Rectum.2024; 67(11): 1423. CrossRef - Long-Term Outcome After Resection of Hepatic and Pulmonary Metastases in Multivisceral Colorectal Cancer
Christopher Berlin, Geoffroy Andrieux, Magdalena Menzel, Gabriel J. Stöger, Andreas Gengenbach, Luisa Schäfer, Hans C. Hillebrecht, Rebecca Kesselring, Uyen-Thao Le, Stefan Fichtner-Feigl, Philipp A. Holzner
Cancers.2024; 16(22): 3741. CrossRef - Survival outcomes after synchronous para‐aortic lymph node metastasis in colorectal cancer: A systematic review
Conor Aylward, Jawed Noori, Jack Tyrrell, Niall O'sullivan, Dara O. Kavanagh, John O. Larkin, Brian J. Mehigan, Paul H. McCormick, Michael E. Kelly
Journal of Surgical Oncology.2023; 127(4): 645. CrossRef - Retroperitoneal Lymph Node Dissection in Colorectal Cancer with Lymph Node Metastasis: A Systematic Review
Michael G. Fadel, Mosab Ahmed, Gianluca Pellino, Shahnawaz Rasheed, Paris Tekkis, David Nicol, Christos Kontovounisios, Erik Mayer
Cancers.2023; 15(2): 455. CrossRef - The management of clinically suspicious para‐aortic lymph node metastasis in colorectal cancer: A systematic review
Michelle Zhiyun Chen, Yeng Kwang Tay, Swetha Prabhakaran, Joseph C Kong
Asia-Pacific Journal of Clinical Oncology.2023; 19(6): 596. CrossRef - Survival benefits of para-aortic lymphadenectomy in colorectal cancer with clinically suspected para-aortic lymph node metastasis: a meta-analysis and systematic review
Rong-Chang Wang, Jian-Qi Wang, Xiao-Yu Zhou, Chu-lin Zhong, Jin-Xu Chen, Jing-Song Chen
World Journal of Surgical Oncology.2023;[Epub] CrossRef - Influence of Extraperitoneal Metastases on the Curative-Intent Management of Colorectal Peritoneal Metastases
Frédéric Schell, Amaniel Kefleyesus, Nazim Benzerdjeb, Guillaume Passot, Pascal Rousset, Alhadeedi Omar, Laurent Villeneuve, Julien Péron, Olivier Glehen, Vahan Kepenekian
Annals of Surgical Oncology.2023; 30(7): 4444. CrossRef - Lymph nodes primary staging of colorectal cancer in 18F-FDG PET/MRI: a systematic review and meta-analysis
Qingwei Ren, Yanyan Chen, Xuejun Shao, Lanzhong Guo, Xinxin Xu
European Journal of Medical Research.2023;[Epub] CrossRef - Oncologic Outcomes after Surgical Resection for Para-aortic Lymph Node Metastasis in Colorectal Cancer
Takayuki Okuno, Masaya Hiyoshi, Yuusuke Kyoden, Junji Yamamoto
Nippon Daicho Komonbyo Gakkai Zasshi.2023; 76(7): 460. CrossRef - Multicenter study of prognostic factors in paraaortic lymph node dissection for metastatic colorectal cancer
Jun Woo Bong, Sanghee Kang, Pyoungjae Park
Annals of Surgical Treatment and Research.2023; 105(5): 271. CrossRef - Outcomes of metachronous para-aortic lymphadenectomy in colorectal cancer: a systematic review of the literature
Oluwatobi O. Onafowokan, Jennifer Redfern, Agastya Patel, Thomas Satyadas, Minas Baltatzis
Langenbeck's Archives of Surgery.2023;[Epub] CrossRef - Predictive factors of survival of colorectal cancer patients after para-aortic lymph node metastasis
Hiroaki Nozawa, Kazushige Kawai, Kazuhito Sasaki, Shigenobu Emoto, Shinya Abe, Hirofumi Sonoda, Koji Murono, Junko Kishikawa, Yuzo Nagai, Yuichiro Yokoyama, Hiroyuki Anzai, Soichiro Ishihara
International Journal of Clinical Oncology.2022; 27(3): 520. CrossRef - Long-Term Outcomes of Surgical Resection of Pathologically Confirmed Isolated Para-Aortic Lymph Node Metastases in Colorectal Cancer: A Systematic Review
Maurizio Zizzo, Maria Pia Federica Dorma, Magda Zanelli, Francesca Sanguedolce, Maria Chiara Bassi, Andrea Palicelli, Stefano Ascani, Alessandro Giunta
Cancers.2022; 14(3): 661. CrossRef - Effect of radical lymphadenectomy in colorectal cancer with para-aortic lymph node metastasis: a systematic review and meta-analysis
Pengyue Zhao, Xingpeng Yang, Yang Yan, Jiaqi Yang, Songyan Li, Xiaohui Du
BMC Surgery.2022;[Epub] CrossRef - Prognostic significance of enlarged paraaortic lymph nodes detected during left-sided colorectal cancer surgery: a single-center retrospective cohort study
Jaram Lee, Hyeong-min Park, Soo Young Lee, Chang Hyun Kim, Hyeong Rok Kim
World Journal of Surgical Oncology.2021;[Epub] CrossRef - Risk factors for local recurrence and long term survival after minimally invasive intersphincteric resection for very low rectal cancer: Multivariate analysis in 161 patients
G.N. Piozzi, H. Park, T.H. Lee, J.S. Kim, H.B. Choi, S.J. Baek, J.M. Kwak, J. Kim, S.H. Kim
European Journal of Surgical Oncology.2021; 47(8): 2069. CrossRef - Effect of lymphadenectomy in colorectal cancer with isolated synchronous para‐aortic lymph node metastasis
Sung Chul Lee, Hee Cheol Kim, Woo Yong Lee, Seong Hyeon Yun, Yong Beom Cho, Jung Wook Huh, Yoon Ah Park, Jung Kyong Shin
Colorectal Disease.2021; 23(10): 2584. CrossRef - Robotic Intersphincteric Resection for Low Rectal Cancer: Technical Controversies and a Systematic Review on the Perioperative, Oncological, and Functional Outcomes
Guglielmo Niccolò Piozzi, Seon Hahn Kim
Annals of Coloproctology.2021; 37(6): 351. CrossRef - Is 18F-FDG PET/CT an Accurate Way to Detect Lymph Node Metastasis in Colorectal Cancer: A Systematic Review and Meta-Analysis
Hamid Dahmarde, Fateme Parooie, Morteza Salarzaei
Contrast Media & Molecular Imaging.2020; 2020: 1. CrossRef - Oncologic outcomes after resection of para-aortic lymph node metastasis in left-sided colon and rectal cancer
Junichi Sakamoto, Heita Ozawa, Hiroki Nakanishi, Shin Fujita, Norikatsu Miyoshi
PLOS ONE.2020; 15(11): e0241815. CrossRef - Long-term outcome and prognostic factors for patients with para-aortic lymph node dissection in left-sided colorectal cancer
Kota Sahara, Jun Watanabe, Atsushi Ishibe, Yusuke Suwa, Hirokazu Suwa, Mitsuyoshi Ota, Chikara Kunisaki, Itaru Endo
International Journal of Colorectal Disease.2019; 34(6): 1121. CrossRef
- Laparoscopic En Bloc Para-aortic Lymphadenectomy Up to the Renal Vein for Colorectal Cancer: How I Do It?
- 20,923 View
- 353 Download
- 30 Web of Science
- 33 Crossref
- In Vitro Adenosine Triphosphate-Based Chemotherapy Response Assay as a Predictor of Clinical Response to Fluorouracil-Based Adjuvant Chemotherapy in Stage II Colorectal Cancer
- Hye Youn Kwon, Im-kyung Kim, Jeonghyun Kang, Seung-Kook Sohn, Kang Young Lee
- Cancer Res Treat. 2016;48(3):970-977. Published online October 22, 2015
- DOI: https://doi.org/10.4143/crt.2015.140
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Abstract
PDFPubReaderePub
- Purpose
We evaluated the usefulness of the in vitro adenosine triphosphate-based chemotherapy response assay (ATP-CRA) for prediction of clinical response to fluorouracil-based adjuvant chemotherapy in stage II colorectal cancer. Materials and Methods Tumor specimens of 86 patients with pathologically confirmed stage II colorectal adenocarcinoma were tested for chemosensitivity to fluorouracil. Chemosensitivity was determined by cell death rate (CDR) of drug-exposed cells, calculated by comparing the intracellular ATP level with that of untreated controls. Results Among the 86 enrolled patients who underwent radical surgery followed by fluorouracilbased adjuvant chemotherapy, recurrence was found in 11 patients (12.7%). The CDR ≥ 20% group was associated with better disease-free survival than the CDR < 20% group (89.4% vs. 70.1%, p=0.027). Multivariate analysis showed that CDR < 20% and T4 stage were poor prognostic factors for disease-free survival after fluorouracil-based adjuvant chemotherapy. Conclusion In stage II colorectal cancer, the in vitro ATP-CRA may be useful in identifying patients likely to benefit from fluorouracil-based adjuvant chemotherapy. -
Citations
Citations to this article as recorded by- Clinical Utility of Patient-Derived Cell-Based In Vitro Drug Sensitivity Testing for Optimizing Adjuvant Therapy in Dogs with Solid Tumors: A Retrospective Study (2019–2023)
Young-Rok Kim, Kieun Bae, Ja-Young Lee, Soon-Wuk Jeong, Hun-Young Yoon, Hyun-Jung Han, Jae-Eun Hyun, Aryung Nam, Ji-Hwan Park, Kyong-Ah Yoon, Jung-Hyun Kim
Animals.2025; 15(8): 1146. CrossRef - Chemosensitivity analysis and study of gene resistance on tumors and cancer stem cell isolates from patients with colorectal cancer
Elsa Garza‑Treviño, Herminia Martínez‑Rodríguez, Paulina Delgado‑González, Orlando Solís‑Coronado, Rocio Ortíz‑Lopez, Adolfo Soto‑Domínguez, Víctor Treviño, Gerardo Padilla‑Rivas, Jose Islas‑Cisneros, Adriana Quiroz‑Reyes, Salvador Said‑fernández
Molecular Medicine Reports.2021;[Epub] CrossRef - Sample preparation strategies for high‐throughput mass spectrometry imaging of primary tumor organoids
Jillian Johnson, Joe T. Sharick, Melissa C. Skala, Lingjun Li
Journal of Mass Spectrometry.2020;[Epub] CrossRef - METHODOLOGICAL APPROACHES TO THE DETERMINATION OF CHEMORESISTANCE OF HUMAN CANCER CELLS TO ANTI-CANCER DRUGS
K. I. Kirsanov, K. A. Kuzin, T. I. Fetisov, E. A. Lesovaya, G. A. Belitskiy, M. G. Yakubovskaya
Siberian journal of oncology.2020; 19(3): 122. CrossRef - Adenosine triphosphate-based chemotherapy response assay predicts long-term survival of primary epithelial ovarian cancer
Lan Ying Li, Sang Wun Kim, Eun Ji Nam, JungYun Lee, Sunghoon Kim, Young Tae Kim
International Journal of Gynecological Cancer.2019; 29(2): 334. CrossRef - Inhibition of hydrogen sulfide synthesis reverses acquired resistance to 5-FU through miR-215-5p-EREG/TYMS axis in colon cancer cells
Shanwen Chen, Taohua Yue, Zhihao Huang, Jing Zhu, Dingfang Bu, Xin Wang, Yisheng Pan, Yucun Liu, Pengyuan Wang
Cancer Letters.2019; 466: 49. CrossRef - The methods of in vitro selection of chemotherapeutic druds for individual chemotherapy of maligant tumors in patinets
A. N. Chernov, E. P. Barantsevich, V. N. Kalunov, M. M. Galagudza
Translational Medicine.2018; 5(3): 45. CrossRef - Cell cultures of human malignant tumors in development of new anticancer therapies
А.Н. Чернов, Е.П. Баранцевич, Э.С. Галимова, М.М. Галагудза
Nauchno-prakticheskii zhurnal «Patogenez».2018; (4()): 13. CrossRef
- Clinical Utility of Patient-Derived Cell-Based In Vitro Drug Sensitivity Testing for Optimizing Adjuvant Therapy in Dogs with Solid Tumors: A Retrospective Study (2019–2023)
- 13,558 View
- 84 Download
- 5 Web of Science
- 8 Crossref
- p16 Hypermethylation and KRAS Mutation Are Independent Predictors of Cetuximab Plus FOLFIRI Chemotherapy in Patients with Metastatic Colorectal Cancer
- Se Hyun Kim, Kyu Hyun Park, Sang Joon Shin, Kang Young Lee, Tae Il Kim, Nam Kyu Kim, Sun Young Rha, Jae Kyung Roh, Joong Bae Ahn
- Cancer Res Treat. 2016;48(1):208-215. Published online April 24, 2015
- DOI: https://doi.org/10.4143/crt.2014.314
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Abstract
PDFPubReaderePub
- Purpose
Hypermethylation of the CpG island of p16INK4a occurs in a significant proportion of colorectal cancer (CRC). We aimed to investigate its predictive role in CRC patients treated with 5-fluorouracil, leucovorin, irinotecan (FOLFIRI), and cetuximab.
Materials and Methods
Pyrosequencing was used to identify KRASmutation and hypermethylation of 6 CpG island loci (p16, p14, MINT1, MINT2, MINT31, and hMLH1) in DNA extracted from formalin-fixed paraffin-embedded specimens. Logistic regression and Cox regression were performed for analysis of the relation between methylation status of CpG island methylator phenotype (CIMP) markers including p16 and clinical outcome.
Results
Hypermethylation of the p16 gene was detected in 14 of 49 patients (28.6%) and showed significant association with KRASmutation (Fisher exact, p=0.01) and CIMP positivity (Fisher exact, p=0.002). Patients with p16-unmethylated tumors had significantly longer time to progression (TTP; median, 9.0 months vs. 3.5 months; log-rank, p=0.001) and overall survival (median, 44.9 months vs. 16.4 months; log-rank, p=0.008) than those with p16-methylated tumors. Patients with both KRAS and p16 aberrancy (n=6) had markedly shortened TTP (median, 2.8 months) compared to those with either KRAS or p16 aberrancy (n=11; median, 8.6 months; p=0.021) or those with neither (n=32; median, 9.0 months; p < 0.0001). In multivariate analysis, KRAS mutation and p16 methylation showed independent association with shorter TTP (KRAS mutation: hazard ratio [HR], 3.21; p=0.017; p16 methylation: HR, 2.97; p=0.027).
Conclusion
Hypermethylation of p16 was predictive of clinical outcome in metastatic CRC patients treated with cetuximab and FOLFIRI, irrespective of KRAS mutation. -
Citations
Citations to this article as recorded by- Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging
Giuseppe Corrias, Eleonora Lai, Pina Ziranu, Stefano Mariani, Clelia Donisi, Nicole Liscia, Giorgio Saba, Andrea Pretta, Mara Persano, Daniela Fanni, Dario Spanu, Francesca Balconi, Francesco Loi, Simona Deidda, Angelo Restivo, Valeria Pusceddu, Marco Puz
Cancers.2024; 16(7): 1364. CrossRef - Alteration in DNA methylation patterns: Epigenetic signatures in gastrointestinal cancers
Zahra Heydari, Farideh Moeinvaziri, Seyed Mohammad Ali Mirazimi, Fatemeh Dashti, Olga Smirnova, Anastasia Shpichka, Hamed Mirzaei, Peter Timashev, Massoud Vosough
European Journal of Pharmacology.2024; 973: 176563. CrossRef - Chromatin factors: Ready to roll as biomarkers in metastatic colorectal cancer?
Cristina Moreta-Moraleda, Cristina Queralt, Carla Vendrell-Ayats, Sonia Forcales, Eva Martínez-Balibrea
Pharmacological Research.2023; 196: 106924. CrossRef - A 10-gene-methylation-based signature for prognosis prediction of colorectal cancer
Dong-hai Li, Xiao-hui Du, Ming Liu, Rui Zhang
Cancer Genetics.2021; 252-253: 80. CrossRef - Value of methylation markers in colorectal cancer (Review)
Can Kong, Tao Fu
Oncology Reports.2021;[Epub] CrossRef - Epigenetic Alterations Upstream and Downstream of p53 Signaling in Colorectal Carcinoma
Maja T. Tomicic, Mona Dawood, Thomas Efferth
Cancers.2021; 13(16): 4072. CrossRef - Multiple gene promoter methylation and clinical stage in adjacent normal tissues: Effect on prognosis of colorectal cancer in Taiwan
Chih-Hsiung Hsu, Cheng-Wen Hsiao, Chien-An Sun, Wen-Chih Wu, Tsan Yang, Je-Ming Hu, Yu-Chan Liao, Chi-Hua Huang, Chao-Yang Chen, Fu-Huang Lin, Yu-Ching Chou
Scientific Reports.2020;[Epub] CrossRef - Methylation-Based Therapies for Colorectal Cancer
Klara Cervena, Anna Siskova, Tomas Buchler, Pavel Vodicka, Veronika Vymetalkova
Cells.2020; 9(6): 1540. CrossRef - CpG Island Methylator Phenotype and Methylation of Wnt Pathway Genes Together Predict Survival in Patients with Colorectal Cancer
Se Hyun Kim, Kyu Hyun Park, Sang Joon Shin, Kang Young Lee, Tae Il Kim, Nam Kyu Kim, Sun Young Rha, Joong Bae Ahn
Yonsei Medical Journal.2018; 59(5): 588. CrossRef - Recent advances in understanding colorectal cancer
Sebastian Stintzing
F1000Research.2018; 7: 1528. CrossRef - Clinical and prognosis value of the CIMP status combined with MLH1 or p16 INK4a methylation in colorectal cancer
Amana Saadallah-Kallel, Rania Abdelmaksoud-Dammak, Mouna Triki, Slim Charfi, Abdelmajid Khabir, Tahia Sallemi-Boudawara, Raja Mokdad-Gargouri
Medical Oncology.2017;[Epub] CrossRef - DNA methylation of CMTM3, SSTR2, and MDFI genes in colorectal cancer
Jinyun Li, Cheng Chen, Xuer Bi, Chongchang Zhou, Tao Huang, Chao Ni, Ping Yang, Si Chen, Meng Ye, Shiwei Duan
Gene.2017; 630: 1. CrossRef
- Prediction of Response to Anti-Angiogenic Treatment for Advanced Colorectal Cancer Patients: From Biological Factors to Functional Imaging
- 15,273 View
- 111 Download
- 12 Web of Science
- 12 Crossref
- Novel Methods for Clinical Risk Stratification in Patients with Colorectal Liver Metastases
- Ki-Yeol Kim, Nam Kyu Kim, In-Ho Cha, Joong Bae Ahn, Jin Sub Choi, Gi-Hong Choi, Joon Suk Lim, Kang Young Lee, Seung Hyuk Baik, Byung Soh Min, Hyuk Hur, Jae Kyung Roh, Sang Joon Shin
- Cancer Res Treat. 2015;47(2):242-250. Published online September 11, 2014
- DOI: https://doi.org/10.4143/crt.2014.066
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Abstract
PDFPubReaderePub
- Purpose
Colorectal cancer patients with liver-confined metastases are classified as stage IV, but their prognoses can differ from metastases at other sites. In this study, we suggest a novel method for risk stratification using clinically effective factors. Materials and Methods Data on 566 consecutive patients with colorectal liver metastasis (CLM) between 1989 and 2010 were analyzed. This analysis was based on principal component analysis (PCA). Results The survival rate was affected by carcinoembryonic antigen (CEA) level (p < 0.001; risk ratio, 1.90), distribution of liver metastasis (p=0.014; risk ratio, 1.46), and disease-free interval (DFI; p < 0.001; risk ratio, 1.98). When patients were divided into three groups according to PCA score using significantly affected factors, they showed significantly different survival patterns (p < 0.001). Conclusion The PCA scoring system based on CEA level, distribution of liver metastasis, and DFI may be useful for preoperatively determining prognoses in order to assist in clinical decisionmaking and designing future clinical trials for CLM treatment. -
Citations
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Antonella Venturino, Giuseppe A. Colloca
Journal of Gastrointestinal Cancer.2025;[Epub] CrossRef - Differential Perspectives by Specialty on Oligometastatic Colorectal Cancer: A Korean Oligometastasis Working Group’s Comparative Survey Study
Won Kyung Cho, Gyu Sang Yoo, Chai Hong Rim, Jae-Uk Jeong, Eui Kyu Chie, Yong Chan Ahn, Hyeon-Min Cho, Jun Won Um, Yang-Gun Suh, Ah Ram Chang, Jong Hoon Lee
Cancer Research and Treatment.2023; 55(4): 1281. CrossRef - Long disease-free interval diminishes the prognostic value of primary tumor stage for patients with colorectal cancer liver metastases
Jia-Ming Liu, Yan-Yan Wang, Wei Liu, Da Xu, Kun Wang, Bao-Cai Xing
HPB.2022; 24(5): 737. CrossRef - A Randomized Phase II Study of Perioperative Chemotherapy Plus Bevacizumab Versus Postoperative Chemotherapy Plus Bevacizumab in Patients With Upfront Resectable Hepatic Colorectal Metastases
You Jin Chun, Seong-Geun Kim, Keun-Wook Lee, Sang Hee Cho, Tae Won Kim, Ji Yeon Baek, Young Suk Park, Soojung Hong, Chong Woo Chu, Seung-Hoon Beom, Minkyu Jung, Sang Joon Shin, Joong Bae Ahn
Clinical Colorectal Cancer.2020; 19(3): e140. CrossRef - Preclinical Efficacy of [V4 Q5 ]dDAVP, a Second Generation Vasopressin Analog, on Metastatic Spread and Tumor-Associated Angiogenesis in Colorectal Cancer
Juan Garona, Natasha T. Sobol, Marina Pifano, Valeria I. Segatori, Daniel E. Gomez, Giselle V. Ripoll, Daniel F. Alonso
Cancer Research and Treatment.2019; 51(2): 438. CrossRef - A multi-gene expression profile panel for predicting liver metastasis: An algorithmic approach
Kanisha Shah, Shanaya Patel, Sheefa Mirza, Rakesh M. Rawal, Kapil Mehta
PLOS ONE.2018; 13(11): e0206400. CrossRef - A combined prognostic factor for improved risk stratification of patients with oral cancer
K‐Y Kim, X Zhang, S‐M Kim, B‐D Lee, I‐H Cha
Oral Diseases.2017; 23(1): 91. CrossRef
- Prognostic Effect of CEA Cut-Off in Patients with Resectable Colorectal Liver Metastases: A Meta-Analysis and Meta-Regression
- 14,595 View
- 92 Download
- 8 Web of Science
- 7 Crossref
- Prognosis and Quality of Life of Non - resectable Gastric Cancer
- Kang Young Lee, Yong Il Kim, Sung Hoon Noh, Jin Sik Min
- J Korean Cancer Assoc. 1996;28(1):35-43.
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Abstract
PDF
- The records of 217 patients with proven non-resectable gastric cancer were studied at Yonsei University Hospital over the 4 years period from January 1990, to December 1993 to clarify Quality of life of gastric cancer patients who could not be resected. The mean survival time of total patients was 10.5 months.(Male: 10.6, Female; 10.4) The survival time was affected by gross type and histologic type. Survivals according to the Borrmann type were as follows; Borrmann type I: 11.5 months, II: 11.3 months, III: 10.2 months, IV; 8.2 months. Survivals according to the histological type were as follows; well differentiated: 20.3 months, moderately differentiated: ll.5 months, poorly differentiated: 9.2 months, signet ring cell carcinoma: 7.9 months. The age, sex and cause of non-resectability did not affect the survival. The mean score of QOL(quality of life) according to Spitzer index was 4.8. The QOL was affected by histological type and type of operation. QOL index scores according to histo logic type were as follows; well differentiated: 6.4, moderately differentiated: 5.5, poorly differentiated: 4.7 and signet ring cell type: 3.5. QOL index scores according to type of operation were as follows; by pass procedure: 5.6, Explo-lapa & closure: 4.0. In conclusion, we could confirm the bad limited survival and quality of life of non-resectable gastric cancer patients. We suggest a new therapeutic approach to improve the survival and QOL of non-resectable gastric cancer patients.
- 3,933 View
- 15 Download
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