Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies

Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies

Background: Although immunotherapy with checkpoint inhibitors is changing the face of lung adenocarcinoma (LUAD) treatments, only limited patients could benefit from it. Therefore, we aimed to develop an immune-relevant-gene-based signature to predict LUAD patients' prognosis and to characteriz...

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Bibliographic Details
Main Authors: Liang Xue, Guoshu Bi, Cheng Zhan, Yi Zhang, Yunfeng Yuan, Hong Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Oncology
Subjects:
lung adenocarcinoma
risk score formula
immune infiltration
machine learning
survival
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00835/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.00835/full

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