Identification of key regulators in prostate cancer from gene expression datasets of patients.

ABSTRACT: Identification of key regulators and regulatory pathways is an important step in the discovery of genes involved in cancer. Here, we propose a method to identify key regulators in prostate cancer (PCa) from a network constructed from gene expression datasets of PCa patients. Overexpressed genes were identified using BioXpress, having a mutational status according to COSMIC, followed by the construction of PCa Interactome network using the curated genes. The topological parameters of the network exhibited power law nature indicating hierarchical scale-free properties and five levels of organization. Highest degree hubs (k ≥ 65) were selected from the PCa network, traced, and 19 of them was identified as novel key regulators, as they participated at all network levels serving as backbone. Of

SUBMITTER: Mangangcha IR 

PROVIDER: S-EPMC6848149 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature