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Enhancer mapping uncovers phenotypic heterogeneity and evolution in patients with luminal breast cancer.
Patten, Darren K; Corleone, Giacomo; Gyorffy, Balázs; Perone, Ylenia; Slaven, Neil; Barozzi, Iros; Erdos, Edina; Saiakhova, Alina; Goddard, Kate; Vingiani, Andrea; Shousha, Sami; Pongor, Lorinc Sándor; Hadjiminas, Dimitri J; Schiavon, Gaia; Barry, Peter; Palmieri, Carlo; Coombes, Raul C; Scacheri, Peter; Pruneri, Giancarlo; Magnani, Luca.
Afiliação
  • Patten DK; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Corleone G; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Gyorffy B; MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Hungarian Academy of Sciences, Budapest, Hungary.
  • Perone Y; Semmelweis University, 2nd Deptartment of Pediatrics, Budapest, Hungary.
  • Slaven N; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Barozzi I; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Erdos E; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Saiakhova A; Department of Biochemistry and Molecular Biology, Genomic Medicine and Bioinformatic Core Facility, University of Debrecen, Debrecen, Hungary.
  • Goddard K; Department of Genetics and Genome Sciences, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
  • Vingiani A; Department of Breast and General Surgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK.
  • Shousha S; Department of Pathology, European Institute of Oncology, Milan, Italy.
  • Pongor LS; Centre for Pathology, Department of Medicine, Imperial College London, London, UK.
  • Hadjiminas DJ; MTA TTK Lendület Cancer Biomarker Research Group, Institute of Enzymology, Hungarian Academy of Sciences, Budapest, Hungary.
  • Schiavon G; Centre for Pathology, Department of Medicine, Imperial College London, London, UK.
  • Barry P; IMED Biotech Unit, AstraZeneca, Cambridge, UK.
  • Palmieri C; Department of Breast Surgery, The Royal Marsden NHS Foundation Trust, Sutton, UK.
  • Coombes RC; Institute of Translational Medicine University of Liverpool, Clatterbridge Cancer Centre, NHS Foundation Trust, and Royal Liverpool University Hospital, Liverpool, Merseyside, UK.
  • Scacheri P; Department of Surgery and Cancer, The Imperial Centre for Translational and Experimental Medicine, Imperial College London, London, UK.
  • Pruneri G; Department of Genetics and Genome Sciences, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
  • Magnani L; Pathology Department, Fondazione IRCCS Istituto Nazionale Tumori and University of Milan, School of Medicine, Milan, Italy.
Nat Med ; 24(9): 1469-1480, 2018 09.
Article em En | MEDLINE | ID: mdl-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.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Elementos Facilitadores Genéticos / Evolução Clonal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Nat Med Assunto da revista: BIOLOGIA MOLECULAR / MEDICINA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Elementos Facilitadores Genéticos / Evolução Clonal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Nat Med Assunto da revista: BIOLOGIA MOLECULAR / MEDICINA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido