Literature DB >> 23674191

DNA promoter hypermethylation profiles in breast duct fluid.

Dominique Twelves1, Ashutosh Nerurkar, Peter Osin, Tim Dexter, Ann Ward, Gerald P H Gui, Clare M Isacke.   

Abstract

DNA methylation of tumor-suppressor genes occurs early in the molecular transformation of precursor events to breast cancer and is therefore of interest to screening in high-risk women. The aim of this study was to use tumor-suppressor genes that have previously been shown to be cancer predictive in tissue to evaluate the potential of DNA methylation assays in cells from duct lavage (DL) fluid. The frequency of target gene DNA methylation in tissue and DL of cancer and healthy control patients was assessed, and an association of DNA methylation between different duct systems in the same breast was explored. The cancer and control groups were identified in the outpatient clinic when surgical treatment was finalized. Tumor, adjacent tissue and bilateral DL samples for comparative DNA methylation studies were obtained during surgery from women with cancer. In the healthy control group, samples of tissue and DL were collected. Reverse transcriptase methylation-specific PCR was conducted on modified DNA purified from 42 cancer biopsies, 41 benign excision cavity biopsies (internal control), 29 benign biopsies (external control), and 119 DL specimens. A validated panel of cancer predictive genes was analyzed in the study bank of tissue and DL samples from cancer and healthy patients. The sensitivity of DNA methylation in DL samples compared with matched cancer tissue was highest for SCGB3A1 (90 %), CDH13 (91 %), and RARB (83 %). The genetic algorithm selected RASSF1A, RARB, and IGFBP7 as the optimum predictor set for detecting DNA methylation in cancer tissue. The optimum area under the ROC curve for DNA methylation in cancer compared with internal control healthy tissue from excision margins was 0.84. The area under the ROC curve for DNA methylation in cancer DL compared with contralateral benign DL was 0.76. DL cytology was not a helpful predictor of breast cancer. This study shows that relative patterns of tumor-suppressor gene hypermethylation in breast cancer tissue are significantly reflected in the DL from the cancer affected breast. Using DL, nonconcordant patterns of DNA methylation between different duct systems confer independent oncologic potential for distinct breast lobes. The approach of DNA methylation in DL may be substantiated by a larger trial of breast cancer biomarkers.

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Year:  2013        PMID: 23674191     DOI: 10.1007/s10549-013-2544-8

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  10 in total

1.  Aberrant promoter methylation of HIN-1 gene may contribute to the pathogenesis of breast cancer: a meta-analysis.

Authors:  Di Dai; Xi-Hua Dong; Shi-Tong Cheng; Ge Zhu; Xiao-Lin Guo
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2.  Epigenetic variations in breast cancer progression to lymph node metastasis.

Authors:  Guillermo Urrutia; Sergio Laurito; Diego M Marzese; Francisco Gago; Javier Orozco; Olga Tello; Teresita Branham; Emanuel M Campoy; María Roqué
Journal:  Clin Exp Metastasis       Date:  2015-01-28       Impact factor: 5.150

Review 3.  Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum.

Authors:  Mary Beth Terry; Jasmine A McDonald; Hui Chen Wu; Sybil Eng; Regina M Santella
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

Review 4.  Genomic Changes in Normal Breast Tissue in Women at Normal Risk or at High Risk for Breast Cancer.

Authors:  David N Danforth
Journal:  Breast Cancer (Auckl)       Date:  2016-08-17

5.  Asymmetric Cancer Hallmarks in Breast Tumors on Different Sides of the Body.

Authors:  Emanuel M Campoy; Sergio R Laurito; María T Branham; Guillermo Urrutia; Angela Mathison; Francisco Gago; Javier Orozco; Raul Urrutia; Luis S Mayorga; María Roqué
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6.  An Improved Breast Epithelial Sampling Method for Molecular Profiling and Biomarker Analysis in Women at Risk for Breast Cancer.

Authors:  David N Danforth; Andrew C Warner; Darawalee Wangsa; Thomas Ried; Dominik Duelli; Armando C Filie; Sheila A Prindiville
Journal:  Breast Cancer (Auckl)       Date:  2015-06-08

7.  Repeated nipple fluid aspiration: compliance and feasibility results from a prospective multicenter study.

Authors:  J S de Groot; C B Moelans; S G Elias; A Hennink; B Verolme; K P M Suijkerbuijk; A Jager; C Seynaeve; P Bos; A J Witkamp; M G E M Ausems; P J van Diest; E van der Wall
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

Review 8.  A Systematic Analysis of the Relationship of CDH13 Promoter Methylation and Breast Cancer Risk and Prognosis.

Authors:  Jingyu Yang; Heng Niu; Yingze Huang; Kunxian Yang
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

9.  Diagnostic value of RASSF1A methylation for breast cancer: a meta-analysis.

Authors:  Mingyi Li; Chunpeng Wang; Binbin Yu; Xueyuan Zhang; Fang Shi; Xin Liu
Journal:  Biosci Rep       Date:  2019-06-28       Impact factor: 3.840

10.  DNA promoter hypermethylation in nipple fluid: a potential tool for early breast cancer detection.

Authors:  Jolien S de Groot; Cathy B Moelans; Sjoerd G Elias; Mary Jo Fackler; Robert van Domselaar; Karijn P M Suijkerbuijk; Arjen J Witkamp; Saraswati Sukumar; Paul J van Diest; Elsken van der Wall
Journal:  Oncotarget       Date:  2016-04-26
  10 in total

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