Multiscale network analysis reveals molecular mechanisms and key regulators of the tumor microenvironment in gastric cancer.

ABSTRACT: Gastric cancer (GC) is the third leading cause of cancer deaths and the fourth most prevalent malignancy worldwide. The high incidence and mortality rates of gastric cancer result from multiple factors such as ineffective screening, diagnosis, and limited treatment options. In our study, we sought to systematically identify predictive molecular networks and key regulators to elucidate complex interacting signaling pathways in GC. We performed an integrative network analysis of the transcriptomic data in The Cancer Genome Atlas (TCGA) gastric cancer cohort and then comprehensively characterized the predictive subnetworks and key regulators by the matched genetic and epigenetic data. We identified 221 gene subnetworks (modules) in GC. The most prognostic subnetworks captured multiple aspects

SUBMITTER: Song WM 

PROVIDER: S-EPMC7004118 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature