Autophagy-related prognostic signature characterizes tumor microenvironment and predicts response to ferroptosis in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) is an important disease and the fifth most common malignancy worldwide. Autophagy is an important process for the turnover of intracellular substances. Autophagy-related genes (ARGs) are crucial in cancer. Accumulating evidence indicates the clinicopathological significance of the tumor microenvironment (TME) in predicting prognosis and treatment efficacy.

Methods

Clinical and gene expression data of GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. A total of 22 genes with differences in expression and prognosis were screened from 232 ARGs. Three autophagy patterns were identified using an unsupervised clustering algorithm and scored using principal component analysis to predict the value of autophagy in the

SUBMITTER: Li H 

PROVIDER: S-EPMC9424910 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature