Literature DB >> 33258714

Identification of Two Subgroups of FOLFOX Resistance Patterns and Prediction of FOLFOX Response in Colorectal Cancer Patients.

Sun Tian1, Fulong Wang2, Shixun Lu3, Gong Chen2.   

Abstract

To dissect gene expression subgroups of FOLFOX resistance colorectal cancer(CRC) and predict FOLFOX response, gene expression data of 83 stage IV CRC tumor samples (FOLFOX responder n = 42, non-responder n = 41) are used to develop a novel iterative supervised learning method IML. IML identified two mutually exclusive subgroups of CRC patients that relies on different DNA damage repair proteins and resist FOLFOX. IML was validated in two validation sets (HR = 2.6, p Value = 0.02; HR = 2.36, p value = 0.02). A subgroup of mesenchymal subtype patients benefit from FOLFOX. Different subgroups of FOLFOX nonresponders may need to be treated differently.

Entities:  

Keywords:  Colorectal cancer; FOLFOX response; biomarker; prediction method

Year:  2020        PMID: 33258714     DOI: 10.1080/07357907.2020.1843662

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  2 in total

Review 1.  Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis.

Authors:  Valentina Russo; Eleonora Lallo; Armelle Munnia; Miriana Spedicato; Luca Messerini; Romina D'Aurizio; Elia Giuseppe Ceroni; Giulia Brunelli; Antonio Galvano; Antonio Russo; Ida Landini; Stefania Nobili; Marcello Ceppi; Marco Bruzzone; Fabio Cianchi; Fabio Staderini; Mario Roselli; Silvia Riondino; Patrizia Ferroni; Fiorella Guadagni; Enrico Mini; Marco Peluso
Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

2.  The efficacy and safety of bevacizumab combined with FOLFOX regimen in the treatment of advanced colorectal cancer: A systematic review and meta-analysis.

Authors:  Hailing Zhang; Jinzhi You; Wei Liu; Dandan Chen; Shiqi Zhang; Xiaoyan Wang
Journal:  Medicine (Baltimore)       Date:  2021-07-30       Impact factor: 1.817

  2 in total

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