Machine learning identifies characteristics molecules of cancer associated fibroblasts significantly correlated with the prognosis, immunotherapy response and immune microenvironment in lung adenocarcinoma

Machine learning identifies characteristics molecules of cancer associated fibroblasts significantly correlated with the prognosis, immunotherapy response and immune microenvironment in lung adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) is a highly lethal disease with a dramatic pro-fibrocytic response. Cancer-associated fibroblasts (CAFs) have been reported to play a key role in lung adenocarcinoma.MethodsMarker genes of CAFs were obtained from the Cell Marker website. Single sample gene set en...

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Bibliographic Details
Main Authors: Qian Wang, Xunlang Zhang, Kangming Du, Xinhui Wu, Yexin Zhou, Diang Chen, Lin Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
cancer-associated fibroblasts
lung adenocarcinoma
immunotherapy
TIDE
immune microenvironment
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1059253/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1059253/full

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