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 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.
| Original language | English |
|---|---|
| Article number | e33663 |
| Journal | PLoS One |
| Volume | 7 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 30 2012 |
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ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Medicine(all)
Cite this
Mirna expression profiles identify drivers in colorectal and pancreatic cancers. / 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.
In: PLoS One, Vol. 7, No. 3, e33663, 30.03.2012.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Mirna expression profiles identify drivers in colorectal and pancreatic cancers
AU - Piepoli, Ada
AU - Tavano, Francesca
AU - Copetti, Massimiliano
AU - Mazza, Tommaso
AU - Palumbo, Orazio
AU - Panza, Anna
AU - Di Mola, Francesco Fabio
AU - Pazienza, Valerio
AU - Mazzoccoli, Gianluigi
AU - Biscaglia, Giuseppe
AU - Gentile, Annamaria
AU - Mastrodonato, Nicola
AU - Carella, Massimo
AU - Pellegrini, Fabio
AU - Di Sebastiano, Pierluigi
AU - Andriulli, Angelo
PY - 2012/3/30
Y1 - 2012/3/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84859129420&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859129420&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0033663
DO - 10.1371/journal.pone.0033663
M3 - Article
C2 - 22479426
AN - SCOPUS:84859129420
VL - 7
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 3
M1 - e33663
ER -