Integrating machine learning and single-cell trajectories to analyze T-cell exhaustion to predict prognosis and immunotherapy in colon cancer patients

Integrating machine learning and single-cell trajectories to analyze T-cell exhaustion to predict prognosis and immunotherapy in colon cancer patients

IntroductionThe incidence of colon adenocarcinoma (COAD) has recently increased, and patients with advanced COAD have a poor prognosis due to treatment resistance. Combining conventional treatment with targeted therapy and immunotherapy has shown unexpectedly positive results in improving the progno...

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Bibliographic Details
Main Authors: Xiaogang Shen, Xiaofei Zuo, Liang Liang, Lin Wang, Bin Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Immunology
Subjects:
colon adenocarcinoma (COAD)
t-cell exhaustion
tumor microenvironment
prognosis
immunotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1162843/full

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https://www.frontiersin.org/articles/10.3389/fimmu.2023.1162843/full

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