Construction of an RNA modification-related gene predictive model associated with prognosis and immunity in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most common causes of cancer-related fatalities worldwide, and its progression is associated with RNA modifications. Here, using RNA modification-related genes (RNAMRGs), we aimed to construct a prognostic model for patients with GC.

Methods

Based on RNAMRGs, RNA modification scores (RNAMSs) were obtained for GC samples from The Cancer Genome Atlas and were divided into high- and low-RNAMS groups. Differential analysis and weighted correlation network analysis were performed for the differential expressed genes (DEGs) to obtain the key genes. Next, univariate Cox regression, least absolute shrinkage and selection operator, and multivariate Cox regression analyses were performed to obtain the model. According to the model risk scor

SUBMITTER: Tuhongjiang A 

PROVIDER: S-EPMC10105968 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature