Literature DB >> 31300453

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

Bradley M Downs1, Claudia Mercado-Rodriguez1, Ashley Cimino-Mathews2, Chuang Chen3, Jing-Ping Yuan4, Eunice Van Den Berg5, Leslie M Cope1, Fernando Schmitt6, Gary M Tse7, Syed Z Ali2, Danielle Meir-Levi1, Rupali Sood1, Juanjuan Li1,3, Andrea L Richardson2, Marina B Mosunjac8, Monica Rizzo9, Suzana Tulac10, Kriszten J Kocmond10, Timothy de Guzman10, Edwin W Lai10, Brian Rhees10, Michael Bates10, Antonio C Wolff1, Edward Gabrielson2, Susan C Harvey11, Christopher B Umbricht2,12, Kala Visvanathan1,13, Mary Jo Fackler14, Saraswati Sukumar14.   

Abstract

PURPOSE: An unmet need in low-resource countries is an automated breast cancer detection assay to prioritize women who should undergo core breast biopsy and pathologic review. Therefore, we sought to identify and validate a panel of methylated DNA markers to discriminate between cancer and benign breast lesions using cells obtained by fine-needle aspiration (FNA).Experimental Design: Two case-control studies were conducted comparing cancer and benign breast tissue identified from clinical repositories in the United States, China, and South Africa for marker selection/training (N = 226) and testing (N = 246). Twenty-five methylated markers were assayed by Quantitative Multiplex-Methylation-Specific PCR (QM-MSP) to select and test a cancer-specific panel. Next, a pilot study was conducted on archival FNAs (49 benign, 24 invasive) from women with mammographically suspicious lesions using a newly developed, 5-hour, quantitative, automated cartridge system. We calculated sensitivity, specificity, and area under the receiver-operating characteristic curve (AUC) compared with histopathology for the marker panel.
RESULTS: In the discovery cohort, 10 of 25 markers were selected that were highly methylated in breast cancer compared with benign tissues by QM-MSP. In the independent test cohort, this panel yielded an AUC of 0.937 (95% CI = 0.900-0.970). In the FNA pilot, we achieved an AUC of 0.960 (95% CI = 0.883-1.0) using the automated cartridge system.
CONCLUSIONS: We developed and piloted a fast and accurate methylation marker-based automated cartridge system to detect breast cancer in FNA samples. This quick ancillary test has the potential to prioritize cancer over benign tissues for expedited pathologic evaluation in poorly resourced countries. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31300453      PMCID: PMC6825533          DOI: 10.1158/1078-0432.CCR-18-3277

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  37 in total

1.  DNA methylation in pre-diagnostic serum samples of breast cancer cases: results of a nested case-control study.

Authors:  Jennifer D Brooks; Paul Cairns; Roy E Shore; Catherine B Klein; Isaac Wirgin; Yelena Afanasyeva; Anne Zeleniuch-Jacquotte
Journal:  Cancer Epidemiol       Date:  2010-12       Impact factor: 2.984

Review 2.  Optimisation of the continuum of supportive and palliative care for patients with breast cancer in low-income and middle-income countries: executive summary of the Breast Health Global Initiative, 2014.

Authors:  Sandra R Distelhorst; James F Cleary; Patricia A Ganz; Nuran Bese; Rolando Camacho-Rodriguez; Fatima Cardoso; Henry Ddungu; Julie R Gralow; Cheng-Har Yip; Benjamin O Anderson
Journal:  Lancet Oncol       Date:  2015-03       Impact factor: 41.316

3.  Pan-Canadian study of mammography screening and mortality from breast cancer.

Authors:  Andrew Coldman; Norm Phillips; Christine Wilson; Kathleen Decker; Anna M Chiarelli; Jacques Brisson; Bin Zhang; Jennifer Payne; Gregory Doyle; Rukshanda Ahmad
Journal:  J Natl Cancer Inst       Date:  2014-10-01       Impact factor: 13.506

Review 4.  Delay of medical care for symptomatic breast cancer: a literature review.

Authors:  Karla Unger-Saldaña; Claudia Infante-Castañeda
Journal:  Salud Publica Mex       Date:  2009

Review 5.  Oncologic Care and Pathology Resources in Africa: Survey and Recommendations.

Authors:  Ann M Nelson; Danny A Milner; Timothy R Rebbeck; Yawale Iliyasu
Journal:  J Clin Oncol       Date:  2015-11-17       Impact factor: 44.544

6.  Assessment of DNA methylation status in early stages of breast cancer development.

Authors:  A Q van Hoesel; Y Sato; D A Elashoff; R R Turner; A E Giuliano; J M Shamonki; P J K Kuppen; C J H van de Velde; D S B Hoon
Journal:  Br J Cancer       Date:  2013-05-07       Impact factor: 7.640

7.  DNA methylation profiling reveals a predominant immune component in breast cancers.

Authors:  Sarah Dedeurwaerder; Christine Desmedt; Emilie Calonne; Sandeep K Singhal; Benjamin Haibe-Kains; Matthieu Defrance; Stefan Michiels; Michael Volkmar; Rachel Deplus; Judith Luciani; Françoise Lallemand; Denis Larsimont; Jérôme Toussaint; Sandy Haussy; Françoise Rothé; Ghizlane Rouas; Otto Metzger; Samira Majjaj; Kamal Saini; Pascale Putmans; Gérald Hames; Nicolas van Baren; Pierre G Coulie; Martine Piccart; Christos Sotiriou; François Fuks
Journal:  EMBO Mol Med       Date:  2011-11-16       Impact factor: 12.137

8.  Detection of aberrant methylation of a six-gene panel in serum DNA for diagnosis of breast cancer.

Authors:  Ming Shan; Huizi Yin; Junnan Li; Xiaobo Li; Dong Wang; Yonghui Su; Ming Niu; Zhenbin Zhong; Ji Wang; Xianyu Zhang; Wenli Kang; Da Pang
Journal:  Oncotarget       Date:  2016-04-05

9.  Detection and localization of surgically resectable cancers with a multi-analyte blood test.

Authors:  Joshua D Cohen; Lu Li; Yuxuan Wang; Christopher Thoburn; Bahman Afsari; Ludmila Danilova; Christopher Douville; Ammar A Javed; Fay Wong; Austin Mattox; Ralph H Hruban; Christopher L Wolfgang; Michael G Goggins; Marco Dal Molin; Tian-Li Wang; Richard Roden; Alison P Klein; Janine Ptak; Lisa Dobbyn; Joy Schaefer; Natalie Silliman; Maria Popoli; Joshua T Vogelstein; James D Browne; Robert E Schoen; Randall E Brand; Jeanne Tie; Peter Gibbs; Hui-Li Wong; Aaron S Mansfield; Jin Jen; Samir M Hanash; Massimo Falconi; Peter J Allen; Shibin Zhou; Chetan Bettegowda; Luis A Diaz; Cristian Tomasetti; Kenneth W Kinzler; Bert Vogelstein; Anne Marie Lennon; Nickolas Papadopoulos
Journal:  Science       Date:  2018-01-18       Impact factor: 47.728

10.  The identification of age-associated cancer markers by an integrative analysis of dynamic DNA methylation changes.

Authors:  Yihan Wang; Jingyu Zhang; Xingjun Xiao; Hongbo Liu; Fang Wang; Song Li; Yanhua Wen; Yanjun Wei; Jianzhong Su; Yunming Zhang; Yan Zhang
Journal:  Sci Rep       Date:  2016-03-07       Impact factor: 4.379

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  9 in total

1.  Development of an automated liquid biopsy assay for methylated markers in advanced breast cancer.

Authors:  Mary Jo Fackler; Suzana Tulac; Neesha Venkatesan; Adam J Aslam; Timothy N de Guzman; Claudia Mercado-Rodriguez; Leslie M Cope; Bradley M Downs; Abdul Hussain Vali; Wanjun Ding; Jennifer Lehman; Rita Denbow; Jeffrey Reynolds; Morgan E Buckley; Kala Visvanathan; Christopher B Umbricht; Antonio C Wolff; Vered Stearns; Michael Bates; Edwin W Lai; Saraswati Sukumar
Journal:  Cancer Res Commun       Date:  2022-06-01

2.  Clinical impact of PTEN methylation status as a prognostic marker for breast cancer.

Authors:  Amal Ramadan; Maha Hashim; Amr Abouzid; Menha Swellam
Journal:  J Genet Eng Biotechnol       Date:  2021-05-10

3.  Identification of differentially methylated genes as diagnostic and prognostic biomarkers of breast cancer.

Authors:  Xiao-Hong Mao; Qiang Ye; Guo-Bing Zhang; Jin-Ying Jiang; Hong-Ying Zhao; Yan-Fei Shao; Zi-Qi Ye; Zi-Xue Xuan; Ping Huang
Journal:  World J Surg Oncol       Date:  2021-01-26       Impact factor: 2.754

4.  Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors.

Authors:  Bradley M Downs; Wanjun Ding; Leslie M Cope; Christopher B Umbricht; Wenge Li; Huihua He; Xiaokang Ke; Matthias Holdhoff; Chetan Bettegowda; Weiping Tao; Saraswati Sukumar
Journal:  Clin Epigenetics       Date:  2021-05-05       Impact factor: 6.551

5.  Comprehensive analysis based on DNA methylation and RNA-seq reveals hypermethylation of the up-regulated WT1 gene with potential mechanisms in PAM50 subtypes of breast cancer.

Authors:  Chongyang Ren; Xiaojiang Tang; Haitao Lan
Journal:  PeerJ       Date:  2021-05-04       Impact factor: 2.984

6.  High performance methylated DNA markers for detection of colon adenocarcinoma.

Authors:  Romy A M Klein Kranenbarg; Abdul Hussain Vali; Jan N M IJzermans; Thomas R Pisanic; Tza-Huei Wang; Nilofer Azad; Saraswati Sukumar; Mary Jo Fackler
Journal:  Clin Epigenetics       Date:  2021-12-13       Impact factor: 7.259

7.  Urine DNA methylation assay enables early detection and recurrence monitoring for bladder cancer.

Authors:  Xu Chen; Jingtong Zhang; Weimei Ruan; Ming Huang; Chanjuan Wang; Hong Wang; Zeyu Jiang; Shaogang Wang; Zheng Liu; Chunxiao Liu; Wanlong Tan; Jin Yang; Jiaxin Chen; Zhiwei Chen; Xia Li; Xiaoyu Zhang; Peng Xu; Lin Chen; Ruihui Xie; Qianghua Zhou; Shizhong Xu; Darryl Luke Irwin; Jian-Bing Fan; Jian Huang; Tianxin Lin
Journal:  J Clin Invest       Date:  2020-12-01       Impact factor: 14.808

8.  Automated and rapid detection of cancer in suspicious axillary lymph nodes in patients with breast cancer.

Authors:  Juanjuan Li; Bradley M Downs; Leslie M Cope; Mary Jo Fackler; Xiuyun Zhang; Chuan-Gui Song; Christopher VandenBussche; Kejing Zhang; Yong Han; Yufei Liu; Suzana Tulac; Neesha Venkatesan; Timothy de Guzman; Chuang Chen; Edwin W Lai; Jingping Yuan; Saraswati Sukumar
Journal:  NPJ Breast Cancer       Date:  2021-07-07

9.  A Novel Promoter CpG-Based Signature for Long-Term Survival Prediction of Breast Cancer Patients.

Authors:  Yang Guo; Xiaoyun Mao; Zhen Qiao; Bo Chen; Feng Jin
Journal:  Front Oncol       Date:  2020-10-20       Impact factor: 6.244

  9 in total

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