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DNA Methylation Markers for Breast Cancer Detection in the Developing World.
Downs, Bradley M; Mercado-Rodriguez, Claudia; Cimino-Mathews, Ashley; Chen, Chuang; Yuan, Jing-Ping; Van Den Berg, Eunice; Cope, Leslie M; Schmitt, Fernando; Tse, Gary M; Ali, Syed Z; Meir-Levi, Danielle; Sood, Rupali; Li, Juanjuan; Richardson, Andrea L; Mosunjac, Marina B; Rizzo, Monica; Tulac, Suzana; Kocmond, Kriszten J; de Guzman, Timothy; Lai, Edwin W; Rhees, Brian; Bates, Michael; Wolff, Antonio C; Gabrielson, Edward; Harvey, Susan C; Umbricht, Christopher B; Visvanathan, Kala; Fackler, Mary Jo; Sukumar, Saraswati.
Afiliação
  • Downs BM; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Mercado-Rodriguez C; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Cimino-Mathews A; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Chen C; Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
  • Yuan JP; Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
  • Van Den Berg E; Department of Anatomical Pathology, University of Witwaterstrand and National Health Laboratory Service, Johannesburg, South Africa.
  • Cope LM; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Schmitt F; Medical Faculty of Porto University, Institute of Molecular Pathology and Immunology of Porto University, Porto, Portugal.
  • Tse GM; Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
  • Ali SZ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Meir-Levi D; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Sood R; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Li J; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Richardson AL; Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
  • Mosunjac MB; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Rizzo M; Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia.
  • Tulac S; Department of Surgery, Emory University School of Medicine, Atlanta, Georgia.
  • Kocmond KJ; Cepheid, Sunnyvale, California.
  • de Guzman T; Cepheid, Sunnyvale, California.
  • Lai EW; Cepheid, Sunnyvale, California.
  • Rhees B; Cepheid, Sunnyvale, California.
  • Bates M; Cepheid, Sunnyvale, California.
  • Wolff AC; Cepheid, Sunnyvale, California.
  • Gabrielson E; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Harvey SC; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Umbricht CB; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Visvanathan K; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Fackler MJ; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Sukumar S; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Clin Cancer Res ; 25(21): 6357-6367, 2019 11 01.
Article em En | MEDLINE | ID: mdl-31300453
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Metilação de DNA / Neoplasias Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Biomarcadores Tumorais / Metilação de DNA / Neoplasias Idioma: En Ano de publicação: 2019 Tipo de documento: Article