Identification of highly connected and differentially expressed gene subnetworks in metastasizing endometrial cancer.

ABSTRACT: We have identified nine highly connected and differentially expressed gene subnetworks between aggressive primary tumors and metastatic lesions in endometrial carcinomas. We implemented a novel pipeline combining gene set and network approaches, which here allows integration of protein-protein interactions and gene expression data. The resulting subnetworks are significantly associated with disease progression across tumor stages from complex atypical hyperplasia, primary tumors to metastatic lesions. The nine subnetworks include genes related to metastasizing features such as epithelial-mesenchymal transition (EMT), hypoxia and cell proliferation. TCF4 and TWIST2 were found as central genes in the subnetwork related to EMT. Two of the identified subnetworks display statistically significa

SUBMITTER: Kusonmano K 

PROVIDER: S-EPMC6211718 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature