Development and validation of an inflammatory response-related gene and clinical factor-based signature for predicting prognosis in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) is an aggressive disease that requires prognostic tools to aid in clinical management. The prognostic power of clinical features is unsatisfactory, which might be improved by combining mRNA-based signatures. Inflammatory response is widely associated with cancer development and treatment response. It is worth exploring the prognostic performance of inflammatory-related genes plus clinical factors in GC.

Methods

An 11-gene signature was trained using the least absolute shrinkage and selection operator (LASSO) based on the messenger RNA (mRNA) and overall survival (OS) data of The Cancer Genome Atlas-stomach adenocarcinoma (TCGA-STAD) cohort. A nomogram was established using the signature and clinical factors with a significant linkage with OS an

SUBMITTER: Li S 

PROVIDER: S-EPMC10186546 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature