Construction of an original anoikis-related prognostic model closely related to immune infiltration in gastric cancer.

ABSTRACT: Background: Anoikis is considered as a particular type of programmed cell death, the weakness or resistance of which contributes greatly to the development and progression of most malignant solid tumors. However, the latent impact of anoikis-related genes (ARGs) on gastric cancer (GC) is still ambiguous. Based on these, this study established an anoikis-related prognostic model of GC to identify the prognosis of patients and provide more effective treatment in clinical practice. Methods: First, we extracted four public datasets containing the gene expression and clinicopathological information of GC, which were worked as the training and validating sets, separately. Then, an anoikis-related survival-predicted model of GC was developed via Lasso and COX regression analy

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC9845267 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature