TY - JOUR
T1 - Monitoring of serum DNA methylation as an early independent marker of response and survival in metastatic breast cancer
T2 - TBCRC 005 prospective biomarker study
AU - Visvanathan, Kala
AU - Fackler, Maryjo S.
AU - Zhang, Zhe
AU - Lopez-Bujanda, Zoila A.
AU - Jeter, Stacie C.
AU - Sokoll, Lori J.
AU - Garrett-Mayer, Elizabeth
AU - Cope, Leslie M.
AU - Umbricht, Christopher B.
AU - Euhus, David M.
AU - Forero, Andres
AU - Storniolo, Anna M.
AU - Nanda, Rita
AU - Lin, Nancy U.
AU - Carey, Lisa A.
AU - Ingle, James N.
AU - Sukumar, Saraswati
AU - Wolff, Antonio C.
N1 - Funding Information:
Supported by the Avon Foundation for Women, the Breast Cancer Research Foundation, Janssen Diagnostics, the Rubenstein Family Fund, the Susan G. Komen Foundation, National Institutes of Health Grants No. NIHP30CA006973 and NIHP30CA58223, and the Susan G. Komen Leadership Grant SAC110053 (A.C.W.). Research Funding: Cepheid Research Funding: Avon Foundation for Women (Inst) Research Funding: Janssen Diagnostics (Veridex) (Inst) Research Funding: Genentech (Inst) Research Funding: Genentech, GlaxoSmithKline, Novartis, Array BioPharma, Kadmon Research Funding: GlaxoSmithKline, Genentech Research Funding: Myriad Genetics
Publisher Copyright:
© 2016 by American Society of Clinical Oncology.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Purpose: Epigenetic alterations measured in blood may help guide breast cancer treatment. The multisite prospective study TBCRC 005 was conducted to examine the ability of a novel panel of cell-free DNA methylation markers to predict survival outcomes in metastatic breast cancer (MBC) using a new quantitative multiplex assay (cMethDNA). Patients and Methods: Ten genes were tested in duplicate serum samples from 141 women at baseline, at week 4, and at first restaging. A cumulative methylation index (CMI) was generated on the basis of six of the 10 genes tested. Methylation cut points were selected to maximize the log-rank statistic, and crossvalidation was used to obtain unbiased point estimates. Logistic regression or Cox proportional hazard models were used to test associations between the CMI and progression-free survival (PFS), overall survival (OS), and disease status at first restaging. The added value of the CMI in predicting survival outcomes was evaluated and compared with circulating tumor cells (CellSearch). Results: Median PFS and OS were significantly shorter in women with a high CMI (PFS, 2.1 months; OS, 12.3 months) versus a low CMI (PFS, 5.8 months; OS, 21.7 months). In multivariable models, among women with MBC, a high versus low CMI at week 4 was independently associated with worse PFS (hazard ratio, 1.79; 95% CI, 1.23 to 2.60; P = .002) and OS (hazard ratio, 1.75; 95% CI, 1.21 to 2.54; P = .003). An increase in the CMI from baseline to week 4 was associated with worse PFS (P < .001) and progressive disease at first restaging (P < .001). Week 4 CMI was a strong predictor of PFS, even in the presence of circulating tumor cells (P = .004). Conclusion: Methylation of this gene panel is a strong predictor of survival outcomes in MBC and may have clinical usefulness in risk stratification and disease monitoring.
AB - Purpose: Epigenetic alterations measured in blood may help guide breast cancer treatment. The multisite prospective study TBCRC 005 was conducted to examine the ability of a novel panel of cell-free DNA methylation markers to predict survival outcomes in metastatic breast cancer (MBC) using a new quantitative multiplex assay (cMethDNA). Patients and Methods: Ten genes were tested in duplicate serum samples from 141 women at baseline, at week 4, and at first restaging. A cumulative methylation index (CMI) was generated on the basis of six of the 10 genes tested. Methylation cut points were selected to maximize the log-rank statistic, and crossvalidation was used to obtain unbiased point estimates. Logistic regression or Cox proportional hazard models were used to test associations between the CMI and progression-free survival (PFS), overall survival (OS), and disease status at first restaging. The added value of the CMI in predicting survival outcomes was evaluated and compared with circulating tumor cells (CellSearch). Results: Median PFS and OS were significantly shorter in women with a high CMI (PFS, 2.1 months; OS, 12.3 months) versus a low CMI (PFS, 5.8 months; OS, 21.7 months). In multivariable models, among women with MBC, a high versus low CMI at week 4 was independently associated with worse PFS (hazard ratio, 1.79; 95% CI, 1.23 to 2.60; P = .002) and OS (hazard ratio, 1.75; 95% CI, 1.21 to 2.54; P = .003). An increase in the CMI from baseline to week 4 was associated with worse PFS (P < .001) and progressive disease at first restaging (P < .001). Week 4 CMI was a strong predictor of PFS, even in the presence of circulating tumor cells (P = .004). Conclusion: Methylation of this gene panel is a strong predictor of survival outcomes in MBC and may have clinical usefulness in risk stratification and disease monitoring.
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U2 - 10.1200/JCO.2015.66.2080
DO - 10.1200/JCO.2015.66.2080
M3 - Article
C2 - 27870562
AN - SCOPUS:85013999091
SN - 0732-183X
VL - 35
SP - 751
EP - 758
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 7
ER -