Literature DB >> 16645207

Precision and performance characteristics of bisulfite conversion and real-time PCR (MethyLight) for quantitative DNA methylation analysis.

Shuji Ogino1, Takako Kawasaki, Mohan Brahmandam, Mami Cantor, Gregory J Kirkner, Donna Spiegelman, G Mike Makrigiorgos, Daniel J Weisenberger, Peter W Laird, Massimo Loda, Charles S Fuchs.   

Abstract

Assays to measure DNA methylation, which are important in epigenetic research and clinical diagnostics, typically rely on conversion of unmethylated cytosine to uracil by sodium bisulfite. However, no study has comprehensively evaluated the precision and performance characteristics of sodium bisulfite conversion and subsequent quantitative methylation assay. We developed quantitative real-time polymerase chain reaction (MethyLight) to measure percentage of methylated reference (PMR, ie, degree of methylation) for the MGMT, MLH1, and CDKN2A (p16) promoters. To measure the precision of bisulfite conversion, we bisulfite-treated seven different aliquots of DNA from each of four paraffin-embedded colon cancer samples. To assess run-to-run variation, we repeated MethyLight five times. Bisulfite-to-bisulfite coefficient of variation (CV) of PMR ranged from 0.10 to 0.38 (mean, 0.21), and run-to-run CV of PMR ranged from 0.046 to 0.60 (mean, 0.31). Interclass correlation coefficients were 0.74 to 0.84 for the three loci, indicating good reproducibility. DNA mixing study with methylated and unmethylated DNA showed good linearity of the assay. Of 272 colorectal cancers evaluated, most showed PMR either <1 or >10, and promoter methylation (PMR >4) was tightly associated with loss of respective protein expression (P < 10(-16)). In conclusion, sodium bisulfite conversion and quantitative MethyLight assays have good precision and linearity and can be effectively used for high-throughput DNA methylation analysis on paraffin-embedded tissue.

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Year:  2006        PMID: 16645207      PMCID: PMC1867588          DOI: 10.2353/jmoldx.2006.050135

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  42 in total

1.  Analysis and quantification of multiple methylation variable positions in CpG islands by Pyrosequencing.

Authors:  Jörg Tost; Jenny Dunker; Ivo Glynne Gut
Journal:  Biotechniques       Date:  2003-07       Impact factor: 1.993

2.  Sensitive and quantitative universal Pyrosequencing methylation analysis of CpG sites.

Authors:  S Colella; L Shen; K A Baggerly; J P Issa; R Krahe
Journal:  Biotechniques       Date:  2003-07       Impact factor: 1.993

3.  Development and assessment of a quantitative reverse transcription-PCR assay for simultaneous measurement of four amplicons.

Authors:  Marcy B Grace; Christopher B McLeland; Steven J Gagliardi; Jeffrey M Smith; William E Jackson; William F Blakely
Journal:  Clin Chem       Date:  2003-09       Impact factor: 8.327

4.  A novel real-time PCR assay for quantitative analysis of methylated alleles (QAMA): analysis of the retinoblastoma locus.

Authors:  Michael Zeschnigk; Stefan Böhringer; Elizabeth Ann Price; Zerrin Onadim; Lars Masshöfer; Dietmar R Lohmann
Journal:  Nucleic Acids Res       Date:  2004-09-07       Impact factor: 16.971

5.  Analysis of methylated genes in peritoneal fluids of ovarian cancer patients: a new prognostic tool.

Authors:  Hannes M Müller; Simone Millinger; Heidi Fiegl; Georg Goebel; Lennart Ivarsson; Andreas Widschwendter; Elisabeth Müller-Holzner; Christian Marth; Martin Widschwendter
Journal:  Clin Chem       Date:  2004-11       Impact factor: 8.327

Review 6.  The power and the promise of DNA methylation markers.

Authors:  Peter W Laird
Journal:  Nat Rev Cancer       Date:  2003-04       Impact factor: 60.716

7.  Ligation-mediated PCR improves the sensitivity of methylation analysis by restriction enzymes and detection of specific DNA strand breaks.

Authors:  S D Steigerwald; G P Pfeifer; A D Riggs
Journal:  Nucleic Acids Res       Date:  1990-03-25       Impact factor: 16.971

8.  A real-time PCR assay for DNA-methylation using methylation-specific blockers.

Authors:  Susan E Cottrell; Jürgen Distler; Nancy S Goodman; Suzanne H Mooney; Antje Kluth; Alexander Olek; Ina Schwope; Reimo Tetzner; Heike Ziebarth; Kurt Berlin
Journal:  Nucleic Acids Res       Date:  2004-01-13       Impact factor: 16.971

9.  Association of breast cancer DNA methylation profiles with hormone receptor status and response to tamoxifen.

Authors:  Martin Widschwendter; Kimberly D Siegmund; Hannes M Müller; Heidi Fiegl; Christian Marth; Elisabeth Müller-Holzner; Peter A Jones; Peter W Laird
Journal:  Cancer Res       Date:  2004-06-01       Impact factor: 12.701

10.  Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.

Authors:  J G Herman; J R Graff; S Myöhänen; B D Nelkin; S B Baylin
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

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  204 in total

Review 1.  Tumour-infiltrating T-cell subsets, molecular changes in colorectal cancer, and prognosis: cohort study and literature review.

Authors:  Katsuhiko Nosho; Yoshifumi Baba; Noriko Tanaka; Kaori Shima; Marika Hayashi; Jeffrey A Meyerhardt; Edward Giovannucci; Glenn Dranoff; Charles S Fuchs; Shuji Ogino
Journal:  J Pathol       Date:  2010-12       Impact factor: 7.996

2.  Prognostic significance of gene-specific promoter hypermethylation in breast cancer patients.

Authors:  Yoon Hee Cho; Jing Shen; Marilie D Gammon; Yu-Jing Zhang; Qiao Wang; Karina Gonzalez; Xinran Xu; Patrick T Bradshaw; Susan L Teitelbaum; Gail Garbowski; Hanina Hibshoosh; Alfred I Neugut; Jia Chen; Regina M Santella
Journal:  Breast Cancer Res Treat       Date:  2011-08-12       Impact factor: 4.872

3.  Tumor mismatch repair immunohistochemistry and DNA MLH1 methylation testing of patients with endometrial cancer diagnosed at age younger than 60 years optimizes triage for population-level germline mismatch repair gene mutation testing.

Authors:  Daniel D Buchanan; Yen Y Tan; Michael D Walsh; Mark Clendenning; Alexander M Metcalf; Kaltin Ferguson; Sven T Arnold; Bryony A Thompson; Felicity A Lose; Michael T Parsons; Rhiannon J Walters; Sally-Ann Pearson; Margaret Cummings; Martin K Oehler; Penelope B Blomfield; Michael A Quinn; Judy A Kirk; Colin J Stewart; Andreas Obermair; Joanne P Young; Penelope M Webb; Amanda B Spurdle
Journal:  J Clin Oncol       Date:  2013-12-09       Impact factor: 44.544

4.  High quality assessment of DNA methylation in archival tissues from colorectal cancer patients using quantitative high-resolution melting analysis.

Authors:  Marija Balic; Martin Pichler; Jasmin Strutz; Ellen Heitzer; Christoph Ausch; Hellmut Samonigg; Richard J Cote; Nadia Dandachi
Journal:  J Mol Diagn       Date:  2009-01-29       Impact factor: 5.568

5.  Association Between Inflammatory Diet Pattern and Risk of Colorectal Carcinoma Subtypes Classified by Immune Responses to Tumor.

Authors:  Li Liu; Reiko Nishihara; Zhi Rong Qian; Fred K Tabung; Daniel Nevo; Xuehong Zhang; Mingyang Song; Yin Cao; Kosuke Mima; Yohei Masugi; Yan Shi; Annacarolina da Silva; Tyler Twombly; Mancang Gu; Wanwan Li; Tsuyoshi Hamada; Keisuke Kosumi; Kentaro Inamura; Jonathan A Nowak; David A Drew; Paul Lochhead; Katsuhiko Nosho; Kana Wu; Molin Wang; Wendy S Garrett; Andrew T Chan; Charles S Fuchs; Edward L Giovannucci; Shuji Ogino
Journal:  Gastroenterology       Date:  2017-09-01       Impact factor: 22.682

6.  Correlation of beta-catenin localization with cyclooxygenase-2 expression and CpG island methylator phenotype (CIMP) in colorectal cancer.

Authors:  Takako Kawasaki; Katsuhiko Nosho; Mutsuko Ohnishi; Yuko Suemoto; Gregory J Kirkner; Reiko Dehari; Jeffrey A Meyerhardt; Charles S Fuchs; Shuji Ogino
Journal:  Neoplasia       Date:  2007-07       Impact factor: 5.715

7.  Aspirin use, tumor PIK3CA mutation, and colorectal-cancer survival.

Authors:  Xiaoyun Liao; Paul Lochhead; Reiko Nishihara; Teppei Morikawa; Aya Kuchiba; Mai Yamauchi; Yu Imamura; Zhi Rong Qian; Yoshifumi Baba; Kaori Shima; Ruifang Sun; Katsuhiko Nosho; Jeffrey A Meyerhardt; Edward Giovannucci; Charles S Fuchs; Andrew T Chan; Shuji Ogino
Journal:  N Engl J Med       Date:  2012-10-25       Impact factor: 91.245

8.  p16 Methylation is associated with chemosensitivity to fluorouracil in patients with advanced gastric cancer.

Authors:  Mingming Wang; Yilin Li; Jing Gao; Yanyan Li; Jing Zhou; Liankun Gu; Lin Shen; Dajun Deng
Journal:  Med Oncol       Date:  2014-05-10       Impact factor: 3.064

9.  Cohort study of fatty acid synthase expression and patient survival in colon cancer.

Authors:  Shuji Ogino; Katsuhiko Nosho; Jeffrey A Meyerhardt; Gregory J Kirkner; Andrew T Chan; Takako Kawasaki; Edward L Giovannucci; Massimo Loda; Charles S Fuchs
Journal:  J Clin Oncol       Date:  2008-10-27       Impact factor: 44.544

10.  GSTP1 promoter hypermethylation is an early event in breast carcinogenesis.

Authors:  Ji Shin Lee
Journal:  Virchows Arch       Date:  2007-05-04       Impact factor: 4.064

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