Independent prognostic genes and mechanism investigation for colon cancer.

ABSTRACT:

Propose

We aimed to explore the potential molecular mechanism and independent prognostic genes for colon cancer (CC).

Methods

Microarray datasets GSE17536 and GSE39582 were downloaded from Gene Expression Omnibus. Meanwhile, the whole CC-related dataset were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNA (DEMs) were identified between cancer tissue samples and para-carcinoma tissue samples in TCGA dataset, followed by the KEGG pathway and GO function analyses. Furthermore, the clinical prognostic analysis including overall survival (OS) and disease-free survival (DFS) were performed in all three datasets.

Results

A total of 633 up- and 321 down-regulated mRNAs were revealed in TCGA dataset. The up-regulated mRNAs were mainly ass

SUBMITTER: Li C 

PROVIDER: S-EPMC5897983 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature