Unknown

Dataset Information

Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA.


ABSTRACT: Hepatocellular carcinoma (HCC) is a devastating disease worldwide. Though many efforts have been made to elucidate the process of HCC, its molecular mechanisms of development remain elusive due to its complexity. To explore the stepwise carcinogenic process from pre-neoplastic lesions to the end stage of HCC, we employed weighted gene co-expression network analysis (WGCNA) which has been proved to be an effective method in many diseases to detect co-expressed modules and hub genes using eight pathological stages including normal, cirrhosis without HCC, cirrhosis, low-grade dysplastic, high-grade dysplastic, very early and early, advanced HCC and very advanced HCC. Among the eight consecutive pathological stages, five representative modules are selected to perform canonical pathway enrichme

SUBMITTER: Yin L 

PROVIDER: S-EPMC5852588 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature