TY - JOUR
T1 - DNA methylation markers for breast cancer detection in the developing world
AU - Downs, Bradley M.
AU - Mercado-Rodriguez, Claudia
AU - Cimino-Mathews, Ashley
AU - Chen, Chuang
AU - Yuan, Jing Ping
AU - Van Den Berg, Eunice
AU - Cope, Leslie M.
AU - Schmitt, Fernando
AU - Tse, Gary M.
AU - Ali, Syed Z.
AU - Meir-Levi, Danielle
AU - Sood, Rupali
AU - Li, Juanjuan
AU - Richardson, Andrea L.
AU - Mosunjac, Marina B.
AU - Rizzo, Monica
AU - Tulac, Suzana
AU - Kocmond, Kriszten J.
AU - De Guzman, Timothy
AU - Lai, Edwin W.
AU - Rhees, Brian
AU - Bates, Michael
AU - Wolff, Antonio C.
AU - Gabrielson, Edward
AU - Harvey, Susan C.
AU - Umbricht, Christopher B.
AU - Visvanathan, Kala
AU - Fackler, Mary Jo
AU - Sukumar, Saraswati
N1 - Funding Information:
commercial research grants from Cepheid. S. Sukumar has ownership interests (including patents) at, is a consultant/advisory board member for and reports receiving commercial research grants from Cepheid. No conflicts of interest were disclosed by the other authors.
Funding Information:
A. Cimino-Mathews is a consultant/advisory board member for and reports receiving commercial research grants from Bristol-Myers Squibb. M. Bates and A.C. Wolff have ownership interests (including patents) at Cepheid. K. Visvanathan reports receiving commercial research grants from Cepheid. M.J. Fackler has ownership interests (including patents) at Cepheid, is a consultant/advisory board member for Cepheid, and reports receiving
Publisher Copyright:
© 2019 American Association for Cancer Research Inc.. All rights reserved.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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.
AB - 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.
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U2 - 10.1158/1078-0432.CCR-18-3277
DO - 10.1158/1078-0432.CCR-18-3277
M3 - Article
C2 - 31300453
AN - SCOPUS:85074377916
SN - 1078-0432
VL - 25
SP - 6357
EP - 6367
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 21
ER -