Unknown

Dataset Information

Mirna expression profiles identify drivers in colorectal and pancreatic cancers.


ABSTRACT:

Background and aim

Altered expression of microRNAs (miRNAs) hallmarks many cancer types. The study of the associations of miRNA expression profile and cancer phenotype could help identify the links between deregulation of miRNA expression and oncogenic pathways.

Methods

Expression profiling of 866 human miRNAs in 19 colorectal and 17 pancreatic cancers and in matched adjacent normal tissues was investigated. Classical paired t-test and random forest analyses were applied to identify miRNAs associated with tissue-specific tumors. Network analysis based on a computational approach to mine associations between cancer types and miRNAs was performed.

Results

The merge between the two statistical methods used to intersect the miRNAs differentially expressed in colon and pan

SUBMITTER: Piepoli A 

PROVIDER: S-EPMC3316496 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature