Identification of autophagy-related biomarker and analysis of immune infiltrates in oral carcinoma.

ABSTRACT:

Background

Autophagy plays a vital role in the progression of the tumor. We aimed to investigate the expression, prognostic value, and immune infiltration of autophagy-related genes in oral carcinoma via bioinformatics analysis.

Methods

The microarray datasets (GSE146483 and GSE23558) of oral carcinoma were downloaded from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between normal and diseased groups were identified by the Limma package. The screened autophagy-related gene was further validated by the human protein atlas (HPA) database, TCGA database, and GSE78060 dataset.

Results

A total of 18 upregulated (top 10: EGFR, TNF, FADD, AURKA, E2F1, CHEK1, BRCA1, BIRC5, EIF2AK2, and CSF2) and 31 downregulated (top 10: MAP1LC3A, PARK2, AGT,

SUBMITTER: Fu H 

PROVIDER: S-EPMC9102594 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature