Mirna Expression Profiles Identify Drivers in Colorectal and Pancreatic Cancers
Open Access
- 30 March 2012
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 7 (3), e33663
- https://doi.org/10.1371/journal.pone.0033663
Abstract
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. 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. 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. 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.This publication has 25 references indexed in Scilit:
- Reprogramming of miRNA networks in cancer and leukemiaGenome Research, 2010
- Development of the human cancer microRNA networkSilence, 2010
- MiR-21 is an EGFR-regulated anti-apoptotic factor in lung cancer in never-smokersProceedings of the National Academy of Sciences of the United States of America, 2009
- Aberrant miR-182 expression promotes melanoma metastasis by repressing FOXO3 and microphthalmia-associated transcription factorProceedings of the National Academy of Sciences of the United States of America, 2009
- Analysis of MicroRNAs in Pancreatic Fine-Needle Aspirates Can Classify Benign and Malignant TissuesClinical Chemistry, 2008
- Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic AnalysesScience, 2008
- Conditional variable importance for random forestsBMC Bioinformatics, 2008
- MicroRNAs in the Search for Understanding Human DiseasesBioDrugs, 2007
- MicroRNA expression profiles classify human cancersNature, 2005
- Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodMethods, 2001