Literature DB >> 17166656

Methods for detecting DNA methylation in tumors: from bench to bedside.

David S Shames1, John D Minna, Adi F Gazdar.   

Abstract

Tumor-acquired changes in DNA methylation are the focus of research in an increasing number of basic, translational, and clinical laboratories around the world. In the laboratory, genome-wide technologies such as expression and DNA microarrays have been adapted to analyze patterns of DNA methylation and to screen for novel disease markers. Other technologies that are relatively inexpensive and highly sensitive such as methylation-specific PCR (MSP), or quantitative, such as quantitative MSP and pyrosequencing are widely used in retrospective studies and have potential in a diagnostic setting. In the near future, it may be possible to screen patients for common cancers using DNA methylation signatures as well as to measure patient responses to treatment, to identify patients at increased risk, or to monitor interventions designed to reduce cancer incidence. In this article, we review genome-wide and quantitative, high- resolution methods for methylation analysis that are used in the laboratory and clinic, and discuss their potential for use in a clinical setting.

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Year:  2006        PMID: 17166656     DOI: 10.1016/j.canlet.2006.10.014

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  19 in total

1.  Aberrant promoter methylation of CDH13 and MGMT genes is associated with clinicopathologic characteristics of primary non-small-cell lung carcinoma.

Authors:  Milica Kontic; Jelena Stojsic; Dragana Jovanovic; Vera Bunjevacki; Simona Ognjanovic; Jacquelyn Kuriger; Susan Puumala; Heather H Nelson
Journal:  Clin Lung Cancer       Date:  2011-12-13       Impact factor: 4.785

2.  Direct DNA methylation profiling using methyl binding domain proteins.

Authors:  Yinni Yu; Steve Blair; David Gillespie; Randy Jensen; David Myszka; Ahmed H Badran; Indraneel Ghosh; Alexander Chagovetz
Journal:  Anal Chem       Date:  2010-06-15       Impact factor: 6.986

3.  ID4 is frequently downregulated and partially hypermethylated in prostate cancer.

Authors:  Anna Vinarskaja; Wolfgang Goering; Marc Ingenwerth; Wolfgang A Schulz
Journal:  World J Urol       Date:  2011-09-01       Impact factor: 4.226

4.  Validation of DNA promoter hypermethylation biomarkers in breast cancer--a short report.

Authors:  Jolien S de Groot; Xiaojuan Pan; Jan Meeldijk; Elsken van der Wall; Paul J van Diest; Cathy B Moelans
Journal:  Cell Oncol (Dordr)       Date:  2014-08-16       Impact factor: 6.730

5.  Development of a multiplex methylation specific PCR suitable for (early) detection of non-small cell lung cancer.

Authors:  Imran Nawaz; Xiaoming Qiu; Heng Wu; Yang Li; Yaguang Fan; Li-Fu Hu; Qinghua Zhou; Ingemar Ernberg
Journal:  Epigenetics       Date:  2014-06-17       Impact factor: 4.528

Review 6.  O(6)-methylguanine-DNA methyltransferase in glioma therapy: promise and problems.

Authors:  John R Silber; Michael S Bobola; A Blank; Marc C Chamberlain
Journal:  Biochim Biophys Acta       Date:  2012-01-08

7.  Epigenetic silencing of CRABP2 and MX1 in head and neck tumors.

Authors:  Marilia F Calmon; Rodrigo V Rodrigues; Carla M Kaneto; Ricardo P Moura; Sabrina D Silva; Louise Danielle C Mota; Daniel G Pinheiro; Cesar Torres; Alex F de Carvalho; Patrícia M Cury; Fabio D Nunes; Ines Nobuko Nishimoto; Fernando A Soares; Adriana M A da Silva; Luis P Kowalski; Helena Brentani; Cleslei F Zanelli; Wilson A Silva; Paula Rahal; Eloiza H Tajara; Dirce M Carraro; Anamaria A Camargo; Sandro R Valentini
Journal:  Neoplasia       Date:  2009-12       Impact factor: 5.715

8.  DNA hypermethylation of tumors from non-small cell lung cancer (NSCLC) patients is associated with gender and histologic type.

Authors:  Stephen E Hawes; Joshua E Stern; Qinghua Feng; Linda W Wiens; Janet S Rasey; Hiep Lu; Nancy B Kiviat; Hubert Vesselle
Journal:  Lung Cancer       Date:  2009-11-28       Impact factor: 5.705

Review 9.  Application of DNA methylation biomarkers for endometrial cancer management.

Authors:  Shi-Wen Jiang; Jinping Li; Karl Podratz; Sean Dowdy
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

10.  Quantitative evaluation of DNA methylation by optimization of a differential-high resolution melt analysis protocol.

Authors:  Francesca Malentacchi; Giulia Forni; Serena Vinci; Claudio Orlando
Journal:  Nucleic Acids Res       Date:  2009-05-19       Impact factor: 16.971

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