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Involvement of microRNA families in cancer.

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 naïve 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.

SUBMITTER: Wuchty S

PROVIDER: S-EPMC3458565 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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Involvement of microRNA families in cancer.

Wuchty Stefan S Arjona Dolores D Bozdag Serdar S Bauer Peter O PO

Nucleic acids research 20120628 17

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 correspond ...[more]

PMID: 22743268

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Project description:Abstract: Altered expression of microRNAs (miRNAs) is associated with development and progression of various human cancers by regulating the translation of oncogenes and tumor suppressor genes. In colorectal cancer (CRC), these regulators complement the Vogelstein multi-step model of pathogenesis and have the potential of becoming a novel class of tumor biomarkers and therapeutic targets. Using QRT-PCR, we measured the expression of 621 mature miRNAs in 40 CRCs and their paired normal tissues and identified 23 significantly deregulated miRNAs. We subsequently evaluated their association with clinical characteristics of the samples and presence of alterations in the molecular markers of CRC progression. Expression levels of miR-31 were correlated with CA19-9 and miR-18a, miR-21 and miR-31 were associated with mutations in APC gene. To investigate the downstream regulation of the differentially expressed miRNAs identified we integrated putative mRNA target predictions with the results of a meta-analysis of seven public gene expression datasets of normal and tumor samples of CRC patients. Many of the CRC deregulated miRNAs computationally map to targets involved in pathways related to progression. Here one promising candidate pair (miR-1 and MET) was studied and functionally validated. We show that miR-1 can have a tumor suppressor function in CRC by directly down-regulating MET oncogene both at RNA and protein level and that re-expression of miR-1 leads to MET driven reduction of cell proliferation and motility, identifying the miR-1 down-modulation as one of the events that could enhance CRC progression. Note: Each sample has the following information: Type - tissue type (T : Tumor or N: Normal), Patient - patient identifier, Stage - tumor stage (I - IV), Status - disease status at last check-up (ED: evident disease, NED: non-evident disease), CEA - carcinoembryonic antigen (continuous), CA199 - carbohydrate antigen 19-9 (continuous), APC - mutation status of APC gene (0: wild-type, 1: mutated), KRAS - mutation status of KRAS gene (0: wild-type, 1: mutated), chr18qLOH - LOH status of 18q (0: no LOH, 1: LOH), TP53 - mutation status of TP53 gene (0: wild-type, 1: mutated).

Dataset Information

Involvement of microRNA families in cancer.

Publications

Involvement of microRNA families in cancer.

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