Literature DB >> 22698615

DNA methylation-based biomarkers in serum of patients with breast cancer.

Lien Van De Voorde1, Reinhart Speeckaert, Dirk Van Gestel, Marc Bracke, Wilfried De Neve, Joris Delanghe, Marijn Speeckaert.   

Abstract

Alterations of genetic and epigenetic features can provide important insights into the natural history of breast cancer. Although DNA methylation analysis is a rapidly developing field, a reproducible epigenetic blood-based assay for diagnosis and follow-up of breast cancer has yet to be successfully developed into a routine clinical test. The aim of this study was to review multiple serum DNA methylation assays and to highlight the value of those novel biomarkers in diagnosis, prognosis and prediction of therapeutic outcome. Serum is readily accessible for molecular diagnosis in all individuals from a peripheral blood sample. The list of hypermethylated genes in breast cancer is heterogeneous and no single gene is methylated in all breast cancer types. There is increasing evidence that a panel of epigenetic markers is essential to achieve a higher sensitivity and specificity in breast cancer detection. However, the reported percentages of methylation are highly variable, which can be partly explained by the different sensitivities and the different intra-/inter-assay coefficients of variability of the analysis methods. Moreover, there is a striking lack of receiver operating characteristic (ROC) curves of the proposed biomarkers. Another point of criticism is the fact that 'normal' patterns of DNA methylation of some tumor suppressor and other cancer-related genes are influenced by several factors and are often poorly characterized. A relatively frequent methylation of those genes has been observed in high-risk asymptomatic women. Finally, there is a call for larger prospective cohort studies to determine methylation patterns during treatment and follow-up. Identification of patterns specific for a differential response to therapeutic interventions should be useful. Only in this way, it will be possible to evaluate the predictive and prognostic characteristics of those novel promising biomarkers.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22698615     DOI: 10.1016/j.mrrev.2012.06.001

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  22 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

Review 2.  Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum.

Authors:  Mary Beth Terry; Jasmine A McDonald; Hui Chen Wu; Sybil Eng; Regina M Santella
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

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

Authors:  Bradley M Downs; Claudia Mercado-Rodriguez; Ashley Cimino-Mathews; Chuang Chen; Jing-Ping Yuan; Eunice Van Den Berg; Leslie M Cope; Fernando Schmitt; Gary M Tse; Syed Z Ali; Danielle Meir-Levi; Rupali Sood; Juanjuan Li; Andrea L Richardson; Marina B Mosunjac; Monica Rizzo; Suzana Tulac; Kriszten J Kocmond; Timothy de Guzman; Edwin W Lai; Brian Rhees; Michael Bates; Antonio C Wolff; Edward Gabrielson; Susan C Harvey; Christopher B Umbricht; Kala Visvanathan; Mary Jo Fackler; Saraswati Sukumar
Journal:  Clin Cancer Res       Date:  2019-07-12       Impact factor: 12.531

4.  Detection of promoter methylation of tumor suppressor genes in serum DNA of breast cancer cases and benign breast disease controls.

Authors:  Susan R Sturgeon; Raji Balasubramanian; Catherine Schairer; Hyman B Muss; Regina G Ziegler; Kathleen F Arcaro
Journal:  Epigenetics       Date:  2012-09-17       Impact factor: 4.528

5.  A Conceptual Model of Psychoneurological Symptom Cluster Variation in Women with Breast Cancer: Bringing Nursing Research to Personalized Medicine.

Authors:  Angela R Starkweather; Debra E Lyon; R K Elswick; Alison J Montpetit; Yvette Conley; Nancy L McCain
Journal:  Curr Pharmacogenomics Person Med       Date:  2013-09

6.  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

Review 7.  Epigenetic Mechanisms in DNA Double Strand Break Repair: A Clinical Review.

Authors:  Alejandra Fernandez; Connor O'Leary; Kenneth J O'Byrne; Joshua Burgess; Derek J Richard; Amila Suraweera
Journal:  Front Mol Biosci       Date:  2021-07-07

8.  Transgelin gene is frequently downregulated by promoter DNA hypermethylation in breast cancer.

Authors:  Nilufer Sayar; Gurbet Karahan; Ozlen Konu; Betul Bozkurt; Onder Bozdogan; Isik G Yulug
Journal:  Clin Epigenetics       Date:  2015-09-28       Impact factor: 6.551

9.  Promoter hypermethylation of the tumor-suppressor genes ITIH5, DKK3, and RASSF1A as novel biomarkers for blood-based breast cancer screening.

Authors:  Vera Kloten; Birte Becker; Kirsten Winner; Michael G Schrauder; Peter A Fasching; Tobias Anzeneder; Jürgen Veeck; Arndt Hartmann; Ruth Knüchel; Edgar Dahl
Journal:  Breast Cancer Res       Date:  2013-01-15       Impact factor: 6.466

10.  Reference Materials for Calibration of Analytical Biases in Quantification of DNA Methylation.

Authors:  Hannah Yu; Yoonsoo Hahn; Inchul Yang
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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