Literature DB >> 24373919

Microsphere-based multiplex analysis of DNA methylation in acute myeloid leukemia.

Gerald B W Wertheim1, Catherine Smith2, Maria E Figueroa3, Michael Kalos4, Adam Bagg5, Martin Carroll6, Stephen R Master7.   

Abstract

Aberrant regulation of DNA methylation is characteristic of cancer cells and clearly influences phenotypes of various malignancies. Despite clear correlations between DNA methylation and patient outcome, tests that directly measure multiple-locus DNA methylation are typically expensive and technically challenging. Previous studies have demonstrated that the prognosis of patients with acute myeloid leukemia can be predicted by the DNA methylation pattern of 18 loci. We have developed a novel strategy, termed microsphere HpaII tiny fragment enrichment by ligation-mediated PCR (MELP), to simultaneously analyze the DNA methylation pattern at these loci using methylation-specific DNA digestion, fluorescently labeled microspheres, and branched DNA hybridization. The method uses techniques that are inexpensive and easily performed in a molecular laboratory. MELP accurately reflects the methylation levels at each locus analyzed and segregates patients with acute myeloid leukemia into prognostic subgroups. Our results demonstrate the usefulness of MELP as a platform for simultaneous evaluation of DNA methylation of multiple loci.
Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24373919      PMCID: PMC3937537          DOI: 10.1016/j.jmoldx.2013.10.010

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


  22 in total

1.  Development of microsphere-based multiplex branched DNA assay for detection and differentiation of avian influenza virus strains.

Authors:  Wonhee Cha; Yunqing Ma; Yehia Mo Saif; Chang-Won Lee
Journal:  J Clin Microbiol       Date:  2010-05-19       Impact factor: 5.948

2.  Genome-wide determination of DNA methylation by Hpa II tiny fragment enrichment by ligation-mediated PCR (HELP) for the study of acute leukemias.

Authors:  Maria E Figueroa; Ari Melnick; John M Greally
Journal:  Methods Mol Biol       Date:  2009

3.  Whole genome amplification of sodium bisulfite-treated DNA allows the accurate estimate of methylated cytosine density in limited DNA resources.

Authors:  Jonathan Mill; Simin Yazdanpanah; Eva Gückel; Sigrid Ziegler; Zachary Kaminsky; Arturas Petronis
Journal:  Biotechniques       Date:  2006-11       Impact factor: 1.993

4.  Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma.

Authors:  Houtan Noushmehr; Daniel J Weisenberger; Kristin Diefes; Heidi S Phillips; Kanan Pujara; Benjamin P Berman; Fei Pan; Christopher E Pelloski; Erik P Sulman; Krishna P Bhat; Roel G W Verhaak; Katherine A Hoadley; D Neil Hayes; Charles M Perou; Heather K Schmidt; Li Ding; Richard K Wilson; David Van Den Berg; Hui Shen; Henrik Bengtsson; Pierre Neuvial; Leslie M Cope; Jonathan Buckley; James G Herman; Stephen B Baylin; Peter W Laird; Kenneth Aldape
Journal:  Cancer Cell       Date:  2010-04-15       Impact factor: 31.743

5.  Performance and clinical evaluation of a sensitive multiplex assay for the rapid detection of common NPM1 mutations.

Authors:  Michael Hafez; Fei Ye; Keith Jackson; Zhe Yang; Judith E Karp; Emmanuel Labourier; Christopher D Gocke
Journal:  J Mol Diagn       Date:  2010-07-08       Impact factor: 5.568

6.  Quantitative DNA methylation predicts survival in adult acute myeloid leukemia.

Authors:  Lars Bullinger; Mathias Ehrich; Konstanze Döhner; Richard F Schlenk; Hartmut Döhner; Matthew R Nelson; Dirk van den Boom
Journal:  Blood       Date:  2009-11-10       Impact factor: 22.113

7.  DNA methylation signatures identify biologically distinct subtypes in acute myeloid leukemia.

Authors:  Maria E Figueroa; Sanne Lugthart; Yushan Li; Claudia Erpelinck-Verschueren; Xutao Deng; Paul J Christos; Elizabeth Schifano; James Booth; Wim van Putten; Lucy Skrabanek; Fabien Campagne; Madhu Mazumdar; John M Greally; Peter J M Valk; Bob Löwenberg; Ruud Delwel; Ari Melnick
Journal:  Cancer Cell       Date:  2010-01-07       Impact factor: 31.743

8.  Combined mutations of ASXL1, CBL, FLT3, IDH1, IDH2, JAK2, KRAS, NPM1, NRAS, RUNX1, TET2 and WT1 genes in myelodysplastic syndromes and acute myeloid leukemias.

Authors:  Julien Rocquain; Nadine Carbuccia; Virginie Trouplin; Stéphane Raynaud; Anne Murati; Meyer Nezri; Zoulika Tadrist; Sylviane Olschwang; Norbert Vey; Daniel Birnbaum; Véronique Gelsi-Boyer; Marie-Joelle Mozziconacci
Journal:  BMC Cancer       Date:  2010-08-02       Impact factor: 4.638

9.  Semi-supervised methods to predict patient survival from gene expression data.

Authors:  Eric Bair; Robert Tibshirani
Journal:  PLoS Biol       Date:  2004-04-13       Impact factor: 8.029

10.  Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.

Authors:  Subhajyoti De; Rita Shaknovich; Markus Riester; Olivier Elemento; Huimin Geng; Matthias Kormaksson; Yanwen Jiang; Bruce Woolcock; Nathalie Johnson; Jose M Polo; Leandro Cerchietti; Randy D Gascoyne; Ari Melnick; Franziska Michor
Journal:  PLoS Genet       Date:  2013-01-10       Impact factor: 5.917

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  7 in total

1.  The Impact of DNA Methylation in Hematopoietic Malignancies.

Authors:  Maria Guillamot; Luisa Cimmino; Iannis Aifantis
Journal:  Trends Cancer       Date:  2016-02-01

2.  Validation of DNA methylation to predict outcome in acute myeloid leukemia by use of xMELP.

Authors:  Gerald B W Wertheim; Catherine Smith; Marlise Luskin; Alison Rager; Maria E Figueroa; Martin Carroll; Stephen R Master
Journal:  Clin Chem       Date:  2014-10-27       Impact factor: 8.327

3.  Validation of a clinical assay of multi-locus DNA methylation for prognosis of newly diagnosed AML.

Authors:  Courtney D Dinardo; Marlise R Luskin; Martin Carroll; Catherine Smith; Jenna Harrison; Sherry Pierce; Steve Kornblau; Marina Konopleva; Tapan Kadia; Hagop Kantarjian; Gerald B Wertheim; Stephen R Master
Journal:  Am J Hematol       Date:  2017-02       Impact factor: 10.047

4.  A clinical measure of DNA methylation predicts outcome in de novo acute myeloid leukemia.

Authors:  Marlise R Luskin; Phyllis A Gimotty; Catherine Smith; Alison W Loren; Maria E Figueroa; Jenna Harrison; Zhuoxin Sun; Martin S Tallman; Elisabeth M Paietta; Mark R Litzow; Ari M Melnick; Ross L Levine; Hugo F Fernandez; Selina M Luger; Martin Carroll; Stephen R Master; Gerald B W Wertheim
Journal:  JCI Insight       Date:  2016-06-16

Review 5.  Clinical implications of genome-wide DNA methylation studies in acute myeloid leukemia.

Authors:  Yan Li; Qingyu Xu; Na Lv; Lili Wang; Hongmei Zhao; Xiuli Wang; Jing Guo; Chongjian Chen; Yonghui Li; Li Yu
Journal:  J Hematol Oncol       Date:  2017-02-02       Impact factor: 17.388

6.  Rapid detection of DNMT3A R882 mutations in hematologic malignancies using a novel bead-based suspension assay with BNA(NC) probes.

Authors:  Velizar Shivarov; Milena Ivanova; Elissaveta Naumova
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

Review 7.  Aberrant DNA Methylation in Acute Myeloid Leukemia and Its Clinical Implications.

Authors:  Xianwen Yang; Molly Pui Man Wong; Ray Kit Ng
Journal:  Int J Mol Sci       Date:  2019-09-16       Impact factor: 5.923

  7 in total

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