Gene Regulatory Network Analysis for Triple-Negative Breast Neoplasms by Using Gene Expression Data.

ABSTRACT:

Purpose

To better identify the physiology of triple-negative breast neoplasm (TNBN), we analyzed the TNBN gene regulatory network using gene expression data.

Methods

We collected TNBN gene expression data from The Cancer Genome Atlas to construct a TNBN gene regulatory network using least absolute shrinkage and selection operator regression. In addition, we constructed a triple-positive breast neoplasm (TPBN) network for comparison. Furthermore, survival analysis based on gene expression levels and differentially expressed gene (DEG) analysis were carried out to support and compare the network analysis results, respectively.

Results

The TNBN gene regulatory network, which followed a power-law distribution, had 10,237 vertices and 17,773 edges, with an average vertex-t

SUBMITTER: Jung HC 

PROVIDER: S-EPMC5620438 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature