Construction of a novel prognostic model for gastric cancer based on pharmacokinetics-related genes and comprehensive prognostic analysis.

ABSTRACT:

Background

Absorption, distribution, metabolism, and excretion of drugs-related genes (ADMERGs), pivotal in cancer occurrence, development, and chemotherapy resistance, lack investigation in gastric cancer (GC). Thus, this study aims to build a prognostic model for gastric cancer utilizing ADMERGs.

Methods

The GC-related datasets, including TCGA-GC, GSE62254, GSE163558 and GSE13911, as well as 298 ADMERGs, were retrieved in this study. Prognostic risk models associated with ADME were developed utilizing univariate Cox analysis, followed by additional refinement using the least absolute shrinkage and selection operator (LASSO). The entire pool of gastric cancer (GC) patient samples was partitioned into high and low-risk categories, delineated by the median value of their resp

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12477026 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature