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Dataset Information

Gastric cancer prognosis: unveiling autophagy-related signatures and immune infiltrates.


ABSTRACT:

Background

Autophagy played a crucial regulatory role in tumor initiation and progression. Therefore, we aimed to comprehensively analyze autophagy-related genes (ARGs) in gastric cancer, focusing on their expression, prognostic value, and potential functions.

Methods

The gastric cancer gene chip datasets (GSE79973 and GSE54129) were collected from the Gene Expression Omnibus (GEO) database. Subsequently, the Limma package was employed to identify differentially expressed genes (DEGs) between the normal and disease groups. The selected ARGs were further authenticated using the Human Protein Atlas (HPA) database, The Cancer Genome Atlas (TCGA) database, and GSE19826 database.

Results

A total of 15 autophagy-related DEGs, eight of which were upregulated [FKBP1A, IL24

SUBMITTER: Yin Y 

PROVIDER: S-EPMC11009815 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature