Unknown

Dataset Information

Identification of New Therapeutic Targets for Gastric Cancer With Bioinformatics.


ABSTRACT: We aimed to identify new targets affecting gastric cancer (GC) prognosis. Six target genes were identified from hub genes based on their relationship with important factors affecting tumor progression, like immune infiltration, purity, tumor mutation burden (TMB), and tumor microenvironment (TME) score. The effect of target genes' somatic mutations and copy number alteration (CNA) was examined to determine their effect on GC prognosis. Six target genes (FBN1, FN1, HGF, MMP9, THBS1, and VCAN) were identified. Reduced expression of each target gene, except MMP9, indicated better prognosis and lower grade in GC. FBN1, THBS1, and VCAN showed lower expression in stage I GC. Non-silencing mutations of the six genes played a role in significantly higher T

SUBMITTER: Li Y 

PROVIDER: S-EPMC7461879 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature