Enhancer mapping uncovers phenotypic heterogeneity and evolution in patients with luminal breast cancer.

Sami Shousha, Luca Magnani, Giancarlo Pruneri, Peter Scacheri, Raul C Coombes, Carlo Palmieri, Peter Barry, Gaia Schiavon, Dimitri J Hadjiminas, Lőrinc Sándor Pongor, Darren K Patten, Andrea Vingiani, Kate Goddard, Alina Saiakhova, Edina Erdős, Iros Barozzi, Neil Slaven, Ylenia Perone, Balázs Győrffy, Giacomo Corleone

Journal: Nature medicine 2019;24(9):1469-1480

PMID: 30038216

Abstract

The degree of intrinsic and interpatient phenotypic heterogeneity and its role in tumor evolution is poorly understood. Phenotypic drifts can be transmitted via inheritable transcriptional programs. Cell-type specific transcription is maintained through the activation of epigenetically defined regulatory regions including promoters and enhancers. Here we have annotated the epigenome of 47 primary and metastatic estrogen-receptor (ERα)-positive breast cancer clinical specimens and inferred phenotypic heterogeneity from the regulatory landscape, identifying key regulatory elements commonly shared across patients. Shared regions contain a unique set of regulatory information including the motif for transcription factor YY1. We identify YY1 as a critical determinant of ERα transcriptional activity promoting tumor growth in most luminal patients. YY1 also contributes to the expression of genes mediating resistance to endocrine treatment. Finally, we used H3K27ac levels at active enhancer elements as a surrogate of intra-tumor phenotypic heterogeneity to track the expansion and contraction of phenotypic subpopulations throughout breast cancer progression. By tracking the clonality of SLC9A3R1-positive cells, a bona fide YY1-ERα-regulated gene, we show that endocrine therapies select for phenotypic clones under-represented at diagnosis. Collectively, our data show that epigenetic mechanisms significantly contribute to phenotypic heterogeneity and evolution in systemically treated breast cancer patients.

Address: Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.; MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Hungarian Academy of Sciences, Budapest, Hungary.; Semmelweis University, 2nd Deptartment of Pediatrics, Budapest, Hungary.; Department of Biochemistry and Molecular Biology, Genomic Medicine and Bioinformatic Core Facility, University of Debrecen, Debrecen, Hungary.; Department of Genetics and Genome Sciences, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.; Department of Breast and General Surgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.; Department of Pathology, European Institute of Oncology, Milan, Italy.; Centre for Pathology, Department of Medicine, Imperial College London, London, UK.; IMED Biotech Unit, AstraZeneca, Cambridge, UK.; Department of Breast Surgery, The Royal Marsden NHS Foundation Trust, Sutton, UK.; Institute of Translational Medicine University of Liverpool, Clatterbridge Cancer Centre, NHS Foundation Trust, and Royal Liverpool University Hospital, Liverpool, Merseyside, UK.; Pathology Department, Fondazione IRCCS Istituto Nazionale Tumori and University of Milan, School of Medicine, Milan, Italy.; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK. [email protected].
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