Literature DB >> 22702364

DNA methylation biomarkers in cancer: progress towards clinical implementation.

Thomas Mikeska1, Christoph Bock, Hongdo Do, Alexander Dobrovic.   

Abstract

Altered DNA methylation is ubiquitous in human cancers and specific methylation changes are often correlated with clinical features. DNA methylation biomarkers, which use those specific methylation changes, provide a range of opportunities for early detection, diagnosis, prognosis, therapeutic stratification and post-therapeutic monitoring. Here we review current approaches to developing and applying DNA methylation biomarkers in cancer therapy. We discuss the obstacles that have so far limited the routine use of DNA methylation biomarkers in clinical settings and describe ways in which these obstacles can be overcome. Finally, we summarize the current state of clinical implementation for some of the most widely studied and well-validated DNA methylation biomarkers, including SEPT9, VIM, SHOX2, PITX2 and MGMT.

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Year:  2012        PMID: 22702364     DOI: 10.1586/erm.12.45

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  58 in total

1.  Multilayer microfluidic array for highly efficient sample loading and digital melt analysis of DNA methylation.

Authors:  Christine M O'Keefe; Daniel Giammanco; Sixuan Li; Thomas R Pisanic; Tza-Huei Jeff Wang
Journal:  Lab Chip       Date:  2019-01-29       Impact factor: 6.799

Review 2.  Artificial light at night: melatonin as a mediator between the environment and epigenome.

Authors:  Abraham Haim; Abed E Zubidat
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-05       Impact factor: 6.237

3.  Predictive value of gene methylation for second recurrence following surgical treatment of first bladder recurrence of a primary upper-tract urothelial carcinoma.

Authors:  Bao Guan; Yunchao Xing; Gengyan Xiong; Zhenpeng Cao; Dong Fang; Yifan Li; Yonghao Zhan; Ding Peng; Libo Liu; Xuesong Li; Liqun Zhou
Journal:  Oncol Lett       Date:  2018-04-13       Impact factor: 2.967

4.  ZNF695 methylation predicts a response of esophageal squamous cell carcinoma to definitive chemoradiotherapy.

Authors:  Takamasa Takahashi; Satoshi Yamahsita; Yasunori Matsuda; Takayoshi Kishino; Takeshi Nakajima; Ryoji Kushima; Ken Kato; Hiroyasu Igaki; Yuji Tachimori; Harushi Osugi; Masato Nagino; Toshikazu Ushijima
Journal:  J Cancer Res Clin Oncol       Date:  2014-10-02       Impact factor: 4.553

5.  Robust Detection of DNA Hypermethylation of ZNF154 as a Pan-Cancer Locus with in Silico Modeling for Blood-Based Diagnostic Development.

Authors:  Gennady Margolin; Hanna M Petrykowska; Nader Jameel; Daphne W Bell; Alice C Young; Laura Elnitski
Journal:  J Mol Diagn       Date:  2016-02-05       Impact factor: 5.568

6.  Hypermethylation of ACP1, BMP4, and TSPYL5 in Hepatocellular Carcinoma and Their Potential Clinical Significance.

Authors:  Xueping Qiu; Bo Hu; Yifang Huang; Yunte Deng; Xuebin Wang; Fang Zheng
Journal:  Dig Dis Sci       Date:  2015-09-19       Impact factor: 3.199

7.  Clinical correlates of promoter hypermethylation of four target genes in head and neck cancer: a cooperative group correlative study.

Authors:  Jong-Lyel Roh; Xin Victoria Wang; Judith Manola; David Sidransky; Arlene A Forastiere; Wayne M Koch
Journal:  Clin Cancer Res       Date:  2013-02-26       Impact factor: 12.531

8.  Genome-scale analysis of DNA methylation in colorectal cancer using Infinium HumanMethylation450 BeadChips.

Authors:  Vladimir A Naumov; Edward V Generozov; Natalya B Zaharjevskaya; Darya S Matushkina; Andrey K Larin; Stanislav V Chernyshov; Mikhail V Alekseev; Yuri A Shelygin; Vadim M Govorun
Journal:  Epigenetics       Date:  2013-07-17       Impact factor: 4.528

Review 9.  The Role of DNA Methylation in Renal Cell Carcinoma.

Authors:  Brittany N Lasseigne; James D Brooks
Journal:  Mol Diagn Ther       Date:  2018-08       Impact factor: 4.074

Review 10.  MGMT testing--the challenges for biomarker-based glioma treatment.

Authors:  Wolfgang Wick; Michael Weller; Martin van den Bent; Marc Sanson; Markus Weiler; Andreas von Deimling; Christoph Plass; Monika Hegi; Michael Platten; Guido Reifenberger
Journal:  Nat Rev Neurol       Date:  2014-06-10       Impact factor: 42.937

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