Literature DB >> 25641231

Methylome sequencing in triple-negative breast cancer reveals distinct methylation clusters with prognostic value.

Clare Stirzaker1, Elena Zotenko1, Jenny Z Song2, Wenjia Qu2, Shalima S Nair1, Warwick J Locke1, Andrew Stone1, Nicola J Armstong3, Mark D Robinson4, Alexander Dobrovic5, Kelly A Avery-Kiejda6, Kate M Peters7, Juliet D French8, Sandra Stein9, Darren J Korbie10, Matt Trau11, John F Forbes12, Rodney J Scott13, Melissa A Brown7, Glenn D Francis14, Susan J Clark1.   

Abstract

Epigenetic alterations in the cancer methylome are common in breast cancer and provide novel options for tumour stratification. Here, we perform whole-genome methylation capture sequencing on small amounts of DNA isolated from formalin-fixed, paraffin-embedded tissue from triple-negative breast cancer (TNBC) and matched normal samples. We identify differentially methylated regions (DMRs) enriched with promoters associated with transcription factor binding sites and DNA hypersensitive sites. Importantly, we stratify TNBCs into three distinct methylation clusters associated with better or worse prognosis and identify 17 DMRs that show a strong association with overall survival, including DMRs located in the Wilms tumour 1 (WT1) gene, bi-directional-promoter and antisense WT1-AS. Our data reveal that coordinated hypermethylation can occur in oestrogen receptor-negative disease, and that characterizing the epigenetic framework provides a potential signature to stratify TNBCs. Together, our findings demonstrate the feasibility of profiling the cancer methylome with limited archival tissue to identify regulatory regions associated with cancer.

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Year:  2015        PMID: 25641231     DOI: 10.1038/ncomms6899

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  75 in total

Review 1.  Clinical implications of molecular heterogeneity in triple negative breast cancer.

Authors:  Brian D Lehmann; Jennifer A Pietenpol
Journal:  Breast       Date:  2015-08-05       Impact factor: 4.380

2.  DNA methylation marker to estimate the breast cancer cell fraction in DNA samples.

Authors:  Hiroki Ishihara; Satoshi Yamashita; Satoshi Fujii; Kazunari Tanabe; Hirofumi Mukai; Toshikazu Ushijima
Journal:  Med Oncol       Date:  2018-09-14       Impact factor: 3.064

Review 3.  Biology and Management of Patients With Triple-Negative Breast Cancer.

Authors:  Priyanka Sharma
Journal:  Oncologist       Date:  2016-07-11

Review 4.  The epigenetic landscape of renal cancer.

Authors:  Mark R Morris; Farida Latif
Journal:  Nat Rev Nephrol       Date:  2016-11-28       Impact factor: 28.314

5.  DNA methylation profile in chronic myelomonocytic leukemia associates with distinct clinical, biological and genetic features.

Authors:  Laura Palomo; Roberto Malinverni; Marta Cabezón; Blanca Xicoy; Montserrat Arnan; Rosa Coll; Helena Pomares; Olga García; Francisco Fuster-Tormo; Javier Grau; Evarist Feliu; Francesc Solé; Marcus Buschbeck; Lurdes Zamora
Journal:  Epigenetics       Date:  2018-02-06       Impact factor: 4.528

6.  Genome-wide DNA methylation profiling in triple-negative breast cancer reveals epigenetic signatures with important clinical value.

Authors:  Clare Stirzaker; Elena Zotenko; Susan J Clark
Journal:  Mol Cell Oncol       Date:  2015-05-26

7.  DNA Methylation Markers for Breast Cancer Detection in the Developing World.

Authors:  Bradley M Downs; Claudia Mercado-Rodriguez; Ashley Cimino-Mathews; Chuang Chen; Jing-Ping Yuan; Eunice Van Den Berg; Leslie M Cope; Fernando Schmitt; Gary M Tse; Syed Z Ali; Danielle Meir-Levi; Rupali Sood; Juanjuan Li; Andrea L Richardson; Marina B Mosunjac; Monica Rizzo; Suzana Tulac; Kriszten J Kocmond; Timothy de Guzman; Edwin W Lai; Brian Rhees; Michael Bates; Antonio C Wolff; Edward Gabrielson; Susan C Harvey; Christopher B Umbricht; Kala Visvanathan; Mary Jo Fackler; Saraswati Sukumar
Journal:  Clin Cancer Res       Date:  2019-07-12       Impact factor: 12.531

8.  Emerging techniques in single-cell epigenomics and their applications to cancer research.

Authors:  Pang-Kuo Lo; Qun Zhou
Journal:  J Clin Genom       Date:  2018-03-05

9.  Detection of epigenetic field defects using a weighted epigenetic distance-based method.

Authors:  Ya Wang; Min Qian; Peifeng Ruan; Andrew E Teschendorff; Shuang Wang
Journal:  Nucleic Acids Res       Date:  2019-01-10       Impact factor: 16.971

10.  Methylomic Analysis of Ovarian Cancers Identifies Tumor-Specific Alterations Readily Detectable in Early Precursor Lesions.

Authors:  Thomas R Pisanic; Leslie M Cope; Shiou-Fu Lin; Ting-Tai Yen; Pornpat Athamanolap; Ryoichi Asaka; Kentaro Nakayama; Amanda N Fader; Tza-Huei Wang; Ie-Ming Shih; Tian-Li Wang
Journal:  Clin Cancer Res       Date:  2018-08-14       Impact factor: 12.531

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