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

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

Abstract 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 an...

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Bibliographic Details
Main Authors: Wei Lu, Dongliang Fu, Xiangxing Kong, Zhiheng Huang, Maxwell Hwang, Yingshuang Zhu, Liubo Chen, Kai Jiang, Xinlin Li, Yihua Wu, Jun Li, Ying Yuan, Kefeng Ding
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:Cancer Medicine
Subjects:
colorectal cancer
FOLFOX
machine learning algorithm
microarray meta‐analysis
Online Access:https://doi.org/10.1002/cam4.2786

Internet

https://doi.org/10.1002/cam4.2786

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