Integration analysis for novel lncRNA markers predicting tumor recurrence in human colon adenocarcinoma.

ABSTRACT:

Background

Numerous evidence has suggested that long non-coding RNA (lncRNA) acts an important role in tumor biology. This study focuses on the identification of novel prognostic lncRNA biomarkers predicting tumor recurrence in human colon adenocarcinoma.

Methods

We obtained the research data from The Cancer Genome Atlas (TCGA) database. The interaction among different expressed lncRNA, miRNA and mRNA markers between colon adenocarcinoma patients with and without tumor recurrence were verified with miRcode, starBase and miRTarBase databases. We established the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network based on the verified association between the selected markers. We performed the functional enrichment analysis to obtain better understanding of the selected

SUBMITTER: Chen F 

PROVIDER: S-EPMC6717325 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature