Ontology highlight
ABSTRACT: Background
Colorectal cancer (CRC) is the third most commonly diagnosed cancer in men and women globally. Investigating genetic ground differences between normal and CRC tissues would be significant for identifying some key oncogenic pathways and developing anti-cancer agents.Methods
Weighted gene co-expression network analysis (WGCNA) method was used to screen out core pathways related to the clinical traits of CRC patients. Then, multiple databases were utilized to further verify the hub genes obtained from data mining. Finally, to explore the role of hub genes in CRC, cell counting and EdU assays were performed.Results
The results of the WGCNA analysis showed that a module (turquoise module) was highly related with CRC differentiation grade (R =0.53, P<0.0001). E
SUBMITTER: Niu M
PROVIDER: S-EPMC7475405 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature