Document Type

Article

Language

eng

Format of Original

8 p.

Publication Date

6-2012

Publisher

Oxford University Press

Source Publication

Nucleic Acids Research

Source ISSN

0305-1048

Original Item ID

doi: 10.1093/nar/gks627

Abstract

Collecting representative sets of cancer microRNAs (miRs) from the literature we show that their corresponding families are enriched in sets of highly interacting miR families. Targeting cancer genes on a statistically significant level, such cancer miR families strongly intervene with signaling pathways that harbor numerous cancer genes. Clustering miR family-specific profiles of pathway intervention, we found that different miR families share similar interaction patterns. Resembling corresponding patterns of cancer miRs families, such interaction patterns may indicate a miR family’s potential role in cancer. As we find that the number of targeted cancer genes is a naı¨ve proxy for a cancer miR family, we design a simple method to predict candidate miR families based on gene-specific interaction profiles. Assessing the impact of miR families to distinguish between (non-)cancer genes, we predict a set of 84 potential candidate families, including 75% of initially collected cancer miR families. Further confirming their relevance, predicted cancer miR families are significantly indicated in increasing, non-random numbers of tumor types.

Comments

Published version. Nucleic Acids Research, Vol. 40, No. 17 (June 2012): 8219-8226. DOI. © 2012 Oxford University Press. Used with permission.

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