Identification and Validation of an m6A Modification of JAK-STAT Signaling Pathway-Related Prognostic Prediction Model in Gastric Cancer.

ABSTRACT: Background: Gastric cancer (GC) is one of the malignant tumors worldwide. Janus (JAK)-signal transduction and activator of transcription (STAT) signaling pathway is involved in cellular biological process and immune function. However, the association between them is still not systematically described. Therefore, in this study, we aimed to identify key genes involved in JAK-STAT signaling pathway and GC, as well as the potential mechanism. Methods: The Cancer Genome Atlas (TCGA) database was the source of RNA-sequencing data of GC patients. Gene Expression Omnibus (GEO) database was used as the validation set. The predictive value of the JAK-STAT signaling pathway-related prognostic prediction model was examined using least absolute shrinkage and selection operator (LASSO); su

SUBMITTER: Jiang F 

PROVIDER: S-EPMC9343854 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature