Differential Connectivity in Colorectal Cancer Gene Expression Network

ABSTRACT:

Background

Colorectal cancer (CRC) is one of the challenging types of cancers; thus, exploring effective biomarkers related to colorectal could lead to significant progresses toward the treatment of this disease.

Methods

In the present study, CRC gene expression datasets have been reanalyzed. Mutual differentially expressed genes across 294 normal mucosa and adjacent tumoral samples were then utilized in order to build two independent transcriptional regulatory networks. By analyzing the networks topologically, genes with differential global connectivity related to cancer state were determined for which the potential transcriptional regulators including transcription factors were identified.

Results

The majority of differentially connected genes (DCGs) were up-regulat

SUBMITTER: Izadi F 

PROVIDER: S-EPMC6305824 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature