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Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif.


ABSTRACT: MicroRNAs modulate tumorigenesis through suppression of specific genes. As many tumour types rely on overlapping oncogenic pathways, a core set of microRNAs may exist, which consistently drives or suppresses tumorigenesis in many cancer types. Here we integrate The Cancer Genome Atlas (TCGA) pan-cancer data set with a microRNA target atlas composed of publicly available Argonaute Crosslinking Immunoprecipitation (AGO-CLIP) data to identify pan-tumour microRNA drivers of cancer. Through this analysis, we show a pan-cancer, coregulated oncogenic microRNA 'superfamily' consisting of the miR-17, miR-19, miR-130, miR-93, miR-18, miR-455 and miR-210 seed families, which cotargets critical tumour suppressors via a central GUGC core motif. We subsequently define mutations in microRNA target sites using the AGO-CLIP microRNA target atlas and TCGA exome-sequencing data. These combined analyses identify pan-cancer oncogenic cotargeting of the phosphoinositide 3-kinase, TGF? and p53 pathways by the miR-17-19-130 superfamily members.

SUBMITTER: Hamilton MP 

PROVIDER: S-EPMC3868236 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif.

Hamilton Mark P MP   Rajapakshe Kimal K   Hartig Sean M SM   Reva Boris B   McLellan Michael D MD   Kandoth Cyriac C   Ding Li L   Zack Travis I TI   Gunaratne Preethi H PH   Wheeler David A DA   Coarfa Cristian C   McGuire Sean E SE  

Nature communications 20130101


MicroRNAs modulate tumorigenesis through suppression of specific genes. As many tumour types rely on overlapping oncogenic pathways, a core set of microRNAs may exist, which consistently drives or suppresses tumorigenesis in many cancer types. Here we integrate The Cancer Genome Atlas (TCGA) pan-cancer data set with a microRNA target atlas composed of publicly available Argonaute Crosslinking Immunoprecipitation (AGO-CLIP) data to identify pan-tumour microRNA drivers of cancer. Through this anal  ...[more]

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