Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes.

ABSTRACT: Background: Necroptosis plays a crucial role in the progression of multiple types of cancer. However, the role of necroptosis in gastric cancer (GC) remains unclear. The aim of this study is to establish a necroptosis-related prediction model, which could provide information for treatment monitoring. Methods: The TCGA-STAD cohort was employed to establish a prognostic prediction signature and the GEO dataset was employed for external validation. The correlation between the risk score and the immune landscape, tumor mutational burden (TMB), microsatellite instability (MSI), as well as therapeutic responses of different therapies were analyzed. Results: We constructed a prognostic model based on necroptosis-associated genes (NAGs), and its favorable predictive ability wa

SUBMITTER: Zhu ZZ 

PROVIDER: S-EPMC9519854 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature