Colon cancer recurrence‑associated genes revealed by WGCNA co‑expression network analysis.

ABSTRACT: The present study aimed to identify the recurrence‑associated genes in colon cancer, which may provide theoretical evidence for the development of novel methods to prevent tumor recurrence. Colon cancer and matched normal samples microarray data (E‑GEOD‑39582) were downloaded from ArrayExpress. Genes with significant variation were identified, followed by the screening of differentially expressed genes (DEGs). Subsequently, the co‑expression network of DEGs was constructed using the weighted correlation network analysis (WGCNA) method, which was verified using the validation dataset. The significant modules associated with recurrence in the network were subsequently screened and verified in another independent dataset E‑GEOD‑33113. Function and pathway enrichment analyses were also conduct

SUBMITTER: Zhai X 

PROVIDER: S-EPMC5865817 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature