Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer.

ABSTRACT: Ovarian cancer (OV) is an extremely lethal disease. However, the evolutionary machineries of OV are still largely unknown. Here, we used a method that combines phylostratigraphy information with gene co-expression networks to extensively study the evolutionary compositions of OV. The present co-expression network construction yielded 18,549 nodes and 114,985 edges based on 307 OV expression samples obtained from the Genome Data Analysis Centers database. A total of 20 modules were identified as OV related clusters. The human genome sequences were divided into 19 phylostrata (PS), the majority (67.45%) of OV genes was already present in the eukaryotic ancestor. There were two strong peaks of the emergence of OV genes screened by hypergeometric test: the evolution of the multicellular metazo

SUBMITTER: Zhang L 

PROVIDER: S-EPMC6384884 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature