mRNAsi-related metabolic risk score model identifies poor prognosis, immunoevasive contexture, and low chemotherapy response in colorectal cancer patients through machine learning

mRNAsi-related metabolic risk score model identifies poor prognosis, immunoevasive contexture, and low chemotherapy response in colorectal cancer patients through machine learning

Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer stem cells and metabolic reprogramming have an important effect on tumor progression and drug resistance, their combined effect on CRC prognosis remains unclear. Therefore, we generated a 21-gene mRNA s...

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Bibliographic Details
Main Authors: Meilin Weng, Ting Li, Jing Zhao, Miaomiao Guo, Wenling Zhao, Wenchao Gu, Caihong Sun, Ying Yue, Ziwen Zhong, Ke Nan, Qingwu Liao, Minli Sun, Di Zhou, Changhong Miao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Immunology
Subjects:
colorectal cancer
mRNAsi
stemness
risk score model
immunotherapy
metabolism
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.950782/full

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