A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma

We constructed an effective recurrence risk predictive model for stage I LUAD patients based on autophagy related genes. High autophagy score predicted a higher recurrence risk and suppressing tumor immune microenvironment.

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Publication Details

Journal
PeerJ
Published
2025-05-02
DOI
https://doi.org/10.7717/peerj.19366
Citations
1
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.81

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article

A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma

Long Shu, Jinwu Peng, Hongjing Zang, Songqing Fan et al.
1 citations
PeerJ
RNA modifications and cancer
0.81
article

A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma

Long Shu, Jinwu Peng, Hongjing Zang, Songqing Fan, Jiadi Luo, Hongmei Zheng
article en
1 citations

Abstract

We constructed an effective recurrence risk predictive model for stage I LUAD patients based on autophagy related genes. High autophagy score predicted a higher recurrence risk and suppressing tumor immune microenvironment.

PeerJVol. 13
Central South University (CN), Second Xiangya Hospital of Central South University (CN), Xiangya Hospital Central South University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Good health and well-being
Openalex Percentile: Top 28%
RNA modifications and cancer
0.81
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