The circular RNome of primary breast cancer
- Marcel Smid1,23,
- Saskia Wilting1,
- Katharina Uhr1,
- Germán Rodriguez-Gonzalez1,
- Vanja de Weerd1,
- Wendy Prager-Van der Smissen1,
- Michelle van der Vlugt -Daane1,
- Anne van Galen1,
- Serena Nik-Zainal2,
- Adam Butler3,
- Sancha Martin3,
- Helen Davies3,
- Johan Staaf4,
- Marc van de Vijver5,
- Andrea Richardson6,
- Gaeten MacGrogan7,
- Roberto Salgado8,
- Gert van den Eynden8,
- Colin Purdie9,
- Alastair Thompson9,
- Carlos Caldas2,
- Paul Span10,
- Fred Sweep10,
- Peter Simpson11,
- Sunil Lakhani11,
- Steven van Laere12,
- Christine Desmedt8,
- Angelo Paradiso13,
- Jorunn Eyfjord14,
- Annegien Broeks15,
- Anne Vincent-Solomon16,
- Andrew Futreal17,
- Stian Knappskog18,
- Tara King19,
- Alain Viari20,
- Anne-Lise Børresen-Dale21,
- Hendrik Stunnenberg22,
- Mike Stratton3,
- John Foekens1,
- Anieta Sieuwerts1 and
- John Martens1
- 1 Erasmus MC;
- 2 University of Cambridge;
- 3 Wellcome Trust Sanger Institute;
- 4 Lund University;
- 5 Academic Medical Center;
- 6 Dana-Farber Cancer Institute;
- 7 Institut Bergonié;
- 8 Institut Jules Bordet;
- 9 Ninewells Hospital & Medical School;
- 10 Radboud University Medical Center;
- 11 University of Queensland;
- 12 University of Antwerp;
- 13 IRCCS Istituto Tumori;
- 14 University of Iceland;
- 15 Netherlands Cancer Institute;
- 16 Institut Curie;
- 17 MD Anderson Cancer Center;
- 18 University of Bergen;
- 19 Memorial Sloan Kettering Cancer Center;
- 20 Synergie Lyon Cancer;
- 21 University of Oslo;
- 22 Radboud University Nijmegen
Abstract
Circular RNAs (circRNAs) are a class of RNA 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 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.
- Received April 5, 2018.
- Accepted January 23, 2019.
- Published by Cold Spring Harbor Laboratory Press
This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.











