Publikationsdatum:
2013-05-07
Beschreibung:
MicroRNAs (miRNAs) show differential expression across breast cancer subtypes, and have both oncogenic and tumour-suppressive roles. Here we report the miRNA expression profiles of 1,302 breast tumours with matching detailed clinical annotation, long-term follow-up and genomic and messenger RNA expression data. This provides a comprehensive overview of the quantity, distribution and variation of the miRNA population and provides information on the extent to which genomic, transcriptional and post-transcriptional events contribute to miRNA expression architecture, suggesting an important role for post-transcriptional regulation. The key clinical parameters and cellular pathways related to the miRNA landscape are characterized, revealing context-dependent interactions, for example with regards to cell adhesion and Wnt signalling. Notably, only prognostic miRNA signatures derived from breast tumours devoid of somatic copy-number aberrations (CNA-devoid) are consistently prognostic across several other subtypes and can be validated in external cohorts. We then use a data-driven approach to seek the effects of miRNAs associated with differential co-expression of mRNAs, and find that miRNAs act as modulators of mRNA-mRNA interactions rather than as on-off molecular switches. We demonstrate such an important modulatory role for miRNAs in the biology of CNA-devoid breast cancers, a common subtype in which the immune response is prominent. These findings represent a new framework for studying the biology of miRNAs in human breast cancer.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dvinge, Heidi -- Git, Anna -- Graf, Stefan -- Salmon-Divon, Mali -- Curtis, Christina -- Sottoriva, Andrea -- Zhao, Yongjun -- Hirst, Martin -- Armisen, Javier -- Miska, Eric A -- Chin, Suet-Feung -- Provenzano, Elena -- Turashvili, Gulisa -- Green, Andrew -- Ellis, Ian -- Aparicio, Sam -- Caldas, Carlos -- 11832/Cancer Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- England -- Nature. 2013 May 16;497(7449):378-82. doi: 10.1038/nature12108. Epub 2013 May 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Research UK Cambridge Institute and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23644459" target="_blank"〉PubMed〈/a〉
Schlagwort(e):
Algorithms
;
Breast Neoplasms/*genetics/pathology
;
DNA Copy Number Variations
;
Female
;
Follow-Up Studies
;
Gene Expression Profiling
;
*Gene Expression Regulation, Neoplastic
;
Genome, Human/genetics
;
Humans
;
Kaplan-Meier Estimate
;
MicroRNAs/*genetics/metabolism
;
Prognosis
;
Proportional Hazards Models
;
RNA, Messenger/genetics/metabolism
;
RNA, Neoplasm/genetics/metabolism
Print ISSN:
0028-0836
Digitale ISSN:
1476-4687
Thema:
Biologie
,
Chemie und Pharmazie
,
Medizin
,
Allgemeine Naturwissenschaft
,
Physik
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