Identification of a molecular signature of prognostic subtypes in diffuse-type gastric cancer.

ABSTRACT:

Background

Although recent advances in high-throughput technology have provided many insights into gastric cancer (GC), few reliable biomarkers for diffuse-type GC have been identified. Here, we aim to identify a prognostic and predictive signature of diffuse-type GC heterogeneity.

Methods

We analyzed RNA-seq-based transcriptome data to identify a molecular signature in 150 gastric tissue samples including 107 diffuse-type GCs. The predictive value of the signature was verified using other diffuse-type GC samples in three independent cohorts (n = 466). Log-rank and Cox regression analyses were used to estimate the association between the signature and prognosis. The signature was also characterized by somatic variant analyses and tissue microarray analysis between diffuse-ty

SUBMITTER: Kim SK 

PROVIDER: S-EPMC7165151 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature