FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms

Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5‐FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta‐analysis to identify differentially expressed genes (DEGs) between FOLFOX responders and nonresp...

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Опубликовано в: :Cancer Med
Главные авторы: Lu, Wei, Fu, Dongliang, Kong, Xiangxing, Huang, Zhiheng, Hwang, Maxwell, Zhu, Yingshuang, Chen, Liubo, Jiang, Kai, Li, Xinlin, Wu, Yihua, Li, Jun, Yuan, Ying, Ding, Kefeng
Формат: Artigo
Язык:Inglês
Опубликовано: John Wiley and Sons Inc. 2020
Предметы:
Clinical Cancer Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7013065/
https://ncbi.nlm.nih.gov/pubmed/31893575
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cam4.2786
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