Carbon Logic Biotech (HK) Ltd, Hongkong, China.
Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
Cancer Invest. 2021 Jan;39(1):62-72. doi: 10.1080/07357907.2020.1843662. Epub 2020 Dec 1.
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 = 42, non-responder = 41) are used to develop a novel iterative supervised learning method IML. IML identified two mutually exclusive subgroups of CRC patients that rely on different DNA damage repair proteins and resist FOLFOX. IML was validated in two validation sets (HR = 2.6, Value = 0.02; HR = 2.36, value = 0.02). A subgroup of mesenchymal subtype patients benefit from FOLFOX. Different subgroups of FOLFOX nonresponders may need to be treated differently.
为了剖析奥沙利铂耐药结直肠癌(CRC)的基因表达亚群并预测奥沙利铂的反应,使用了 83 个 IV 期 CRC 肿瘤样本的基因表达数据(奥沙利铂应答者=42,非应答者=41)来开发一种新的迭代监督学习方法 IML。IML 确定了两种相互排斥的 CRC 患者亚组,它们依赖于不同的 DNA 损伤修复蛋白并抵抗奥沙利铂。IML 在两个验证集中得到了验证(HR=2.6,value=0.02;HR=2.36,value=0.02)。间充质亚型患者亚组从奥沙利铂中获益。不同的奥沙利铂无应答者亚组可能需要不同的治疗方法。