Literature DB >> 27870562

Monitoring of Serum DNA Methylation as an Early Independent Marker of Response and Survival in Metastatic Breast Cancer: TBCRC 005 Prospective Biomarker Study.

Kala Visvanathan1, MaryJo S Fackler1, Zhe Zhang1, Zoila A Lopez-Bujanda1, Stacie C Jeter1, Lori J Sokoll1, Elizabeth Garrett-Mayer1, Leslie M Cope1, Christopher B Umbricht1, David M Euhus1, Andres Forero1, Anna M Storniolo1, Rita Nanda1, Nancy U Lin1, Lisa A Carey1, James N Ingle1, Saraswati Sukumar1, Antonio C Wolff1.   

Abstract

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 cross-validation 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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Year:  2016        PMID: 27870562      PMCID: PMC5455421          DOI: 10.1200/JCO.2015.66.2080

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  29 in total

1.  DNA methylation and epigenetic mechanisms of carcinogenesis.

Authors:  S Baylin
Journal:  Dev Biol (Basel)       Date:  2001

Review 2.  DNA methylation and cancer.

Authors:  Peter A Jones
Journal:  Oncogene       Date:  2002-08-12       Impact factor: 9.867

3.  Genome-wide methylation analysis identifies genes specific to breast cancer hormone receptor status and risk of recurrence.

Authors:  Mary Jo Fackler; Christopher B Umbricht; Danielle Williams; Pedram Argani; Leigh-Ann Cruz; Vanessa F Merino; Wei Wen Teo; Zhe Zhang; Peng Huang; Kala Visvananthan; Jeffrey Marks; Stephen Ethier; Joe W Gray; Antonio C Wolff; Leslie M Cope; Saraswati Sukumar
Journal:  Cancer Res       Date:  2011-08-08       Impact factor: 12.701

4.  Quantitative multiplex methylation-specific PCR analysis doubles detection of tumor cells in breast ductal fluid.

Authors:  Mary Jo Fackler; Kara Malone; Zhe Zhang; Eric Schilling; Elizabeth Garrett-Mayer; Theresa Swift-Scanlan; Julie Lange; Ritu Nayar; Nancy E Davidson; Seema A Khan; Saraswati Sukumar
Journal:  Clin Cancer Res       Date:  2006-06-01       Impact factor: 12.531

5.  CST6 promoter methylation in circulating cell-free DNA of breast cancer patients.

Authors:  Maria Chimonidou; Alexandra Tzitzira; Areti Strati; Georgia Sotiropoulou; Costas Sfikas; Nikos Malamos; Vasilis Georgoulias; Evi Lianidou
Journal:  Clin Biochem       Date:  2012-09-21       Impact factor: 3.281

6.  Quantitative multiplex methylation-specific PCR assay for the detection of promoter hypermethylation in multiple genes in breast cancer.

Authors:  Mary Jo Fackler; Megan McVeigh; Jyoti Mehrotra; Marissa A Blum; Julie Lange; Amanda Lapides; Elizabeth Garrett; Pedram Argani; Saraswati Sukumar
Journal:  Cancer Res       Date:  2004-07-01       Impact factor: 12.701

7.  Novel methylated biomarkers and a robust assay to detect circulating tumor DNA in metastatic breast cancer.

Authors:  Mary Jo Fackler; Zoila Lopez Bujanda; Christopher Umbricht; Wei Wen Teo; Soonweng Cho; Zhe Zhang; Kala Visvanathan; Stacie Jeter; Pedram Argani; Chenguang Wang; Jaclyn P Lyman; Marina de Brot; James N Ingle; Judy Boughey; Kandace McGuire; Tari A King; Lisa A Carey; Leslie Cope; Antonio C Wolff; Saraswati Sukumar
Journal:  Cancer Res       Date:  2014-04-15       Impact factor: 12.701

8.  Methylated DNA and high total DNA levels in the serum of patients with breast cancer following neoadjuvant chemotherapy are predictive of a poor prognosis.

Authors:  Noriko Fujita; Naofumi Kagara; Noriaki Yamamoto; Kenzo Shimazu; Atsushi Shimomura; Masafumi Shimoda; Naomi Maruyama; Yasuto Naoi; Koji Morimoto; Naofumi Oda; Seung Jin Kim; Shinzaburo Noguchi
Journal:  Oncol Lett       Date:  2014-04-15       Impact factor: 2.967

9.  Circulating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500.

Authors:  Jeffrey B Smerage; William E Barlow; Gabriel N Hortobagyi; Eric P Winer; Brian Leyland-Jones; Gordan Srkalovic; Sheela Tejwani; Anne F Schott; Mark A O'Rourke; Danika L Lew; Gerald V Doyle; Julie R Gralow; Robert B Livingston; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2014-06-02       Impact factor: 50.717

10.  The presence of circulating total DNA and methylated genes is associated with circulating tumour cells in blood from breast cancer patients.

Authors:  I Van der Auwera; H J Elst; S J Van Laere; H Maes; P Huget; P van Dam; E A Van Marck; P B Vermeulen; L Y Dirix
Journal:  Br J Cancer       Date:  2009-04-21       Impact factor: 7.640

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  37 in total

1.  Tumor and serum DNA methylation in women receiving preoperative chemotherapy with or without vorinostat in TBCRC008.

Authors:  Roisin M Connolly; Mary Jo Fackler; Zhe Zhang; Xian C Zhou; Matthew P Goetz; Judy C Boughey; Bridget Walsh; John T Carpenter; Anna Maria Storniolo; Stanley P Watkins; Edward W Gabrielson; Vered Stearns; Saraswati Sukumar
Journal:  Breast Cancer Res Treat       Date:  2017-09-16       Impact factor: 4.872

2.  Role of cell-to-cell communication in cancer: New features, insights, and directions.

Authors:  Eliseo A Eugenin
Journal:  Cancer Rep (Hoboken)       Date:  2019-12-01

Review 3.  Circulating tumor DNA profiling for childhood brain tumors: Technical challenges and evidence for utility.

Authors:  Anthony Pak-Yin Liu; Paul A Northcott; Giles W Robinson; Amar Gajjar
Journal:  Lab Invest       Date:  2021-12-21       Impact factor: 5.662

4.  Prognostic value of baseline genetic features and newly identified TP53 mutations in advanced breast cancer.

Authors:  Lanxin Zhang; Siwen Sun; Xiaotian Zhao; Jingwen Liu; Yang Xu; Lingzhi Xu; Chen Song; Na Li; Jing Yu; Shanshan Zhao; Peiyao Yu; Fengqi Fang; Jiping Xie; Xuening Ji; Ruoying Yu; Qiuxiang Ou; Zuowei Zhao; Man Li
Journal:  Mol Oncol       Date:  2022-08-15       Impact factor: 7.449

5.  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

6.  Parallel serial assessment of somatic mutation and methylation profile from circulating tumor DNA predicts treatment response and impending disease progression in osimertinib-treated lung adenocarcinoma patients.

Authors:  Shu Xia; Junyi Ye; Yu Chen; Analyn Lizaso; Le Huang; Lei Shi; Jing Su; Han Han-Zhang; Shannon Chuai; Lingling Li; Yuan Chen
Journal:  Transl Lung Cancer Res       Date:  2019-12

7.  Multimodal analysis of cell-free DNA whole-genome sequencing for pediatric cancers with low mutational burden.

Authors:  Peter Peneder; Adrian M Stütz; Didier Surdez; Manuela Krumbholz; Sabine Semper; Mathieu Chicard; Nathan C Sheffield; Gaelle Pierron; Eve Lapouble; Marcus Tötzl; Bekir Ergüner; Daniele Barreca; André F Rendeiro; Abbas Agaimy; Heidrun Boztug; Gernot Engstler; Michael Dworzak; Marie Bernkopf; Sabine Taschner-Mandl; Inge M Ambros; Ola Myklebost; Perrine Marec-Bérard; Susan Ann Burchill; Bernadette Brennan; Sandra J Strauss; Jeremy Whelan; Gudrun Schleiermacher; Christiane Schaefer; Uta Dirksen; Caroline Hutter; Kjetil Boye; Peter F Ambros; Olivier Delattre; Markus Metzler; Christoph Bock; Eleni M Tomazou
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

8.  Methylation patterns in serum DNA for early identification of disseminated breast cancer.

Authors:  Martin Widschwendter; Iona Evans; Allison Jones; Shohreh Ghazali; Daniel Reisel; Andy Ryan; Aleksandra Gentry-Maharaj; Michal Zikan; David Cibula; Johannes Eichner; Marianna Alunni-Fabbroni; Julian Koch; Wolfgang J Janni; Tobias Paprotka; Timo Wittenberger; Usha Menon; Benjamin Wahl; Brigitte Rack; Harri Lempiäinen
Journal:  Genome Med       Date:  2017-12-22       Impact factor: 11.117

9.  Increased levels of LAPTM4B, VEGF and survivin are correlated with tumor progression and poor prognosis in breast cancer patients.

Authors:  Sha Li; Lu Wang; Yue Meng; Yanli Chang; Jianjun Xu; Qingyun Zhang
Journal:  Oncotarget       Date:  2017-06-20

10.  A DNA methylation-based liquid biopsy for triple-negative breast cancer.

Authors:  Katrina Cristall; Francois-Clement Bidard; Jean-Yves Pierga; Michael J Rauh; Tatiana Popova; Clara Sebbag; Olivier Lantz; Marc-Henri Stern; Christopher R Mueller
Journal:  NPJ Precis Oncol       Date:  2021-06-16
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