The circular RNome of primary breast cancer

Author:

Smid MarcelORCID,Wilting Saskia M.,Uhr Katharina,Rodríguez-González F. Germán,de Weerd Vanja,Prager-Van der Smissen Wendy J.C.,van der Vlugt-Daane Michelle,van Galen Anne,Nik-Zainal Serena,Butler Adam,Martin Sancha,Davies Helen R.,Staaf Johan,van de Vijver Marc J.,Richardson Andrea L.,MacGrogan Gaëten,Salgado Roberto,van den Eynden Gert G.G.M.,Purdie Colin A.,Thompson Alastair M.,Caldas Carlos,Span Paul N.,Sweep Fred C.G.J.,Simpson Peter T.,Lakhani Sunil R.,Van Laere Steven,Desmedt Christine,Paradiso Angelo,Eyfjord Jorunn,Broeks Annegien,Vincent-Salomon Anne,Futreal Andrew P.,Knappskog Stian,King Tari,Viari Alain,Børresen-Dale Anne-Lise,Stunnenberg Hendrik G.,Stratton Mike,Foekens John A.,Sieuwerts Anieta M.,Martens John W.M.

Abstract

Circular RNAs (circRNAs) are a class of RNAs that is under increasing scrutiny, although their functional roles are debated. We analyzed RNA-seq data of 348 primary breast cancers and developed a method to identify circRNAs that does not rely on unmapped reads or known splice junctions. We identified 95,843 circRNAs, of which 20,441 were found recurrently. Of the circRNAs that match exon boundaries of the same gene, 668 showed a poor or even negative (R < 0.2) correlation with the expression level of the linear gene. In silico analysis showed only a minority (8.5%) of circRNAs could be explained by known splicing events. Both these observations suggest that specific regulatory processes for circRNAs exist. We confirmed the presence of circRNAs of CNOT2, CREBBP, and RERE in an independent pool of primary breast cancers. We identified circRNA profiles associated with subgroups of breast cancers and with biological and clinical features, such as amount of tumor lymphocytic infiltrate and proliferation index. siRNA-mediated knockdown of circCNOT2 was shown to significantly reduce viability of the breast cancer cell lines MCF-7 and BT-474, further underlining the biological relevance of circRNAs. Furthermore, we found that circular, and not linear, CNOT2 levels are predictive for progression-free survival time to aromatase inhibitor (AI) therapy in advanced breast cancer patients, and found that circCNOT2 is detectable in cell-free RNA from plasma. We showed that circRNAs are abundantly present, show characteristics of being specifically regulated, are associated with clinical and biological properties, and thus are relevant in breast cancer.

Funder

ICGC Breast Cancer Working group by the Breast Cancer Somatic Genetics Study

European Community's Seventh Framework Programme

Wellcome Trust

BASIS

ERC

Daniel den Hoed Foundation

Wellcome Beit Fellow

Wellcome Trust Intermediate Fellowship

Dana-Farber/Harvard Cancer Center SPORE in Breast Cancer

Cancer Genomics Netherlands

Netherlands Organization of Scientific research

Breast Cancer Research Foundation

The Icelandic Centre for Research

Publisher

Cold Spring Harbor Laboratory

Subject

Genetics(clinical),Genetics

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