Details:

Alternative Title:
PLoS One
Publisher's site:
http://dx.doi.org/10.1371/journal.pone.0033663
Personal Author:
Piepoli, Ada ; Tavano, Francesca ; Copetti, Massimiliano ; Mazza, Tommaso ; Palumbo, Orazio ; ... More +
Piepoli, Ada ; Tavano, Francesca ; Copetti, Massimiliano ; Mazza, Tommaso ; Palumbo, Orazio ; Panza, Anna ; di Mola, Francesco Fabio ; Pazienza, Valerio ; Mazzoccoli, Gianluigi ; Biscaglia, Giuseppe ; Gentile, Annamaria ; Mastrodonato, Nicola ; Carella, Massimo ; Pellegrini, Fabio ; di Sebastiano, Pierluigi ; Andriulli, Angelo Less -
Description:
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 pancreatic cancers allowed the identification of cancer-specific miRNA alterations. By miRNA-network analysis, tissue-specific patterns of miRNA deregulation were traced: the driving miRNAs were miR-195, miR-1280, miR-140-3p and miR-1246 in colorectal tumors, and miR-103, miR-23a and miR-15b in pancreatic cancers.

Conclusion

MiRNA expression profiles may identify cancer-specific signatures and potentially useful biomarkers for the diagnosis of tissue specific cancers. miRNA-network analysis help identify altered miRNA regulatory networks that could play a role in tumor pathogenesis.


Subject:
[+]
Biology
Cluster Analysis
Colorectal Neoplasms
Computer Science
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Humans
Medicine
MicroRNAs
Pancreatic Neoplasms
Reproducibility Of Results
Research Article

Source:
PLoS One. 2012; 7(3).
Pubmed ID:
22479426
Pubmed Central ID:
PMC3316496
Document Type:
Journal Article
Funding:
RC0903CH47/CH/OID CDC HHS/United States ; RC0903GA51/RC/CCR NIH HHS/United States ; RC1003BS14/BS/FDA HHS/United States ; RC1003CH50/CH/OID CDC HHS/United States ; RC1003GA52/RC/CCR NIH HHS/United States ; ... More +
RC0903CH47/CH/OID CDC HHS/United States ; RC0903GA51/RC/CCR NIH HHS/United States ; RC1003BS14/BS/FDA HHS/United States ; RC1003CH50/CH/OID CDC HHS/United States ; RC1003GA52/RC/CCR NIH HHS/United States ; RC1103CH46/CH/OID CDC HHS/United States ; RC1103GA47/RC/CCR NIH HHS/United States Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:0965468352f0d17e8c1f1ac183aa35c915d904c1afccda54bffd7c112f707cfc
File Type:

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