| Literature DB >> 33258714 |
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