Literature DB >> 31881335

Reliable Clinical MLH1 Promoter Hypermethylation Assessment Using a High-Throughput Genome-Wide Methylation Array Platform.

Jamal K Benhamida1, Jaclyn F Hechtman2, Khedoudja Nafa2, Liliana Villafania2, Justyna Sadowska2, Jiajing Wang2, Donna Wong2, Ahmet Zehir2, Liying Zhang2, Tejus Bale2, Maria E Arcila2, Marc Ladanyi2.   

Abstract

Clinical testing for MLH1 promoter hypermethylation status is important in the workup of patients with MLH1-deficient colorectal and uterine carcinomas when evaluating patients for Lynch syndrome. Current assays use single gene-based methods to assess promoter hypermethylation. Herein, we describe the development and report the performance of a clinical assay for MLH1 promoter hypermethylation using the Infinium methylationEPIC (850k) bead-array platform. Using four cytosine-guanine dinucleotide (CpG) sites within the MLH1 gene promoter, a qualitative MLH1 promoter hypermethylation assay was developed and validated using 63 gastrointestinal and uterine carcinoma samples of known hypermethylation status based on a pyrosequencing reference test. The array-based method achieves clinically robust and reproducible results at an analytical sensitivity level of 8%. Of importance, the 850k array contains probes targeting >850,000 additional CpG sites across the genome, covering sites in most known genes as well as important enhancer regions provided by the Encyclopedia of DNA Elements and Functional Annotation of The Mammalian Genome projects. Thus, the testing modality presented may also be applied to determine the methylation status of other clinically relevant genes or regulatory regions, potentially providing a single laboratory testing workflow for all clinical methylation assays. Furthermore, the concomitant acquisition of genome-wide methylation information provides a workflow that seamlessly enables wider translational epigenetic research.
Copyright © 2020 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31881335      PMCID: PMC7103764          DOI: 10.1016/j.jmoldx.2019.11.005

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


  36 in total

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Journal:  Biotechniques       Date:  2003-07       Impact factor: 1.993

Review 2.  DNA methylation and human disease.

Authors:  Keith D Robertson
Journal:  Nat Rev Genet       Date:  2005-08       Impact factor: 53.242

Review 3.  CpG islands--'a rough guide'.

Authors:  Robert S Illingworth; Adrian P Bird
Journal:  FEBS Lett       Date:  2009-04-18       Impact factor: 4.124

4.  MGMT methylation analysis of glioblastoma on the Infinium methylation BeadChip identifies two distinct CpG regions associated with gene silencing and outcome, yielding a prediction model for comparisons across datasets, tumor grades, and CIMP-status.

Authors:  Pierre Bady; Davide Sciuscio; Annie-Claire Diserens; Jocelyne Bloch; Martin J van den Bent; Christine Marosi; Pierre-Yves Dietrich; Michael Weller; Luigi Mariani; Frank L Heppner; David R Mcdonald; Denis Lacombe; Roger Stupp; Mauro Delorenzi; Monika E Hegi
Journal:  Acta Neuropathol       Date:  2012-07-19       Impact factor: 17.088

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

Authors:  Shuji Ogino; 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
Journal:  J Mol Diagn       Date:  2006-05       Impact factor: 5.568

6.  Distinction of hereditary nonpolyposis colorectal cancer and sporadic microsatellite-unstable colorectal cancer through quantification of MLH1 methylation by real-time PCR.

Authors:  Marcus Bettstetter; Stephan Dechant; Petra Ruemmele; Monika Grabowski; Gisela Keller; Elke Holinski-Feder; Arndt Hartmann; Ferdinand Hofstaedter; Wolfgang Dietmaier
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

7.  Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.

Authors:  Jean-Philippe Fortin; Timothy J Triche; Kasper D Hansen
Journal:  Bioinformatics       Date:  2017-02-15       Impact factor: 6.937

8.  DNA methylation-based classification of central nervous system tumours.

Authors:  David Capper; David T W Jones; Martin Sill; Volker Hovestadt; Daniel Schrimpf; Dominik Sturm; Christian Koelsche; Felix Sahm; Lukas Chavez; David E Reuss; Annekathrin Kratz; Annika K Wefers; Kristin Huang; Kristian W Pajtler; Leonille Schweizer; Damian Stichel; Adriana Olar; Nils W Engel; Kerstin Lindenberg; Patrick N Harter; Anne K Braczynski; Karl H Plate; Hildegard Dohmen; Boyan K Garvalov; Roland Coras; Annett Hölsken; Ekkehard Hewer; Melanie Bewerunge-Hudler; Matthias Schick; Roger Fischer; Rudi Beschorner; Jens Schittenhelm; Ori Staszewski; Khalida Wani; Pascale Varlet; Melanie Pages; Petra Temming; Dietmar Lohmann; Florian Selt; Hendrik Witt; Till Milde; Olaf Witt; Eleonora Aronica; Felice Giangaspero; Elisabeth Rushing; Wolfram Scheurlen; Christoph Geisenberger; Fausto J Rodriguez; Albert Becker; Matthias Preusser; Christine Haberler; Rolf Bjerkvig; Jane Cryan; Michael Farrell; Martina Deckert; Jürgen Hench; Stephan Frank; Jonathan Serrano; Kasthuri Kannan; Aristotelis Tsirigos; Wolfgang Brück; Silvia Hofer; Stefanie Brehmer; Marcel Seiz-Rosenhagen; Daniel Hänggi; Volkmar Hans; Stephanie Rozsnoki; Jordan R Hansford; Patricia Kohlhof; Bjarne W Kristensen; Matt Lechner; Beatriz Lopes; Christian Mawrin; Ralf Ketter; Andreas Kulozik; Ziad Khatib; Frank Heppner; Arend Koch; Anne Jouvet; Catherine Keohane; Helmut Mühleisen; Wolf Mueller; Ute Pohl; Marco Prinz; Axel Benner; Marc Zapatka; Nicholas G Gottardo; Pablo Hernáiz Driever; Christof M Kramm; Hermann L Müller; Stefan Rutkowski; Katja von Hoff; Michael C Frühwald; Astrid Gnekow; Gudrun Fleischhack; Stephan Tippelt; Gabriele Calaminus; Camelia-Maria Monoranu; Arie Perry; Chris Jones; Thomas S Jacques; Bernhard Radlwimmer; Marco Gessi; Torsten Pietsch; Johannes Schramm; Gabriele Schackert; Manfred Westphal; Guido Reifenberger; Pieter Wesseling; Michael Weller; Vincent Peter Collins; Ingmar Blümcke; Martin Bendszus; Jürgen Debus; Annie Huang; Nada Jabado; Paul A Northcott; Werner Paulus; Amar Gajjar; Giles W Robinson; Michael D Taylor; Zane Jaunmuktane; Marina Ryzhova; Michael Platten; Andreas Unterberg; Wolfgang Wick; Matthias A Karajannis; Michel Mittelbronn; Till Acker; Christian Hartmann; Kenneth Aldape; Ulrich Schüller; Rolf Buslei; Peter Lichter; Marcel Kool; Christel Herold-Mende; David W Ellison; Martin Hasselblatt; Matija Snuderl; Sebastian Brandner; Andrey Korshunov; Andreas von Deimling; Stefan M Pfister
Journal:  Nature       Date:  2018-03-14       Impact factor: 49.962

9.  Tumour MLH1 promoter region methylation testing is an effective prescreen for Lynch Syndrome (HNPCC).

Authors:  K Newton; N M Jorgensen; A J Wallace; D D Buchanan; F Lalloo; R F T McMahon; J Hill; D G Evans
Journal:  J Med Genet       Date:  2014-10-03       Impact factor: 6.318

10.  Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray.

Authors:  Yi-an Chen; Mathieu Lemire; Sanaa Choufani; Darci T Butcher; Daria Grafodatskaya; Brent W Zanke; Steven Gallinger; Thomas J Hudson; Rosanna Weksberg
Journal:  Epigenetics       Date:  2013-01-11       Impact factor: 4.528

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Journal:  Clin Cancer Res       Date:  2022-10-03       Impact factor: 13.801

2.  Genetic and epigenetic landscape of IDH-wildtype glioblastomas with FGFR3-TACC3 fusions.

Authors:  Douglas A Mata; Jamal K Benhamida; Andrew L Lin; Chad M Vanderbilt; Soo-Ryum Yang; Liliana B Villafania; Donna C Ferguson; Philip Jonsson; Alexandra M Miller; Viviane Tabar; Cameron W Brennan; Nelson S Moss; Martin Sill; Ryma Benayed; Ingo K Mellinghoff; Marc K Rosenblum; Maria E Arcila; Marc Ladanyi; Tejus A Bale
Journal:  Acta Neuropathol Commun       Date:  2020-11-09       Impact factor: 7.801

3.  Genome-wide DNA methylation profiling is able to identify prefibrotic PMF cases at risk for progression to myelofibrosis.

Authors:  Ulrich Lehmann; Helge Stark; Stephan Bartels; Jerome Schlue; Guntram Büsche; Hans Kreipe
Journal:  Clin Epigenetics       Date:  2021-02-04       Impact factor: 6.551

4.  Host methylation predicts SARS-CoV-2 infection and clinical outcome.

Authors:  Iain R Konigsberg; Bret Barnes; Monica Campbell; Elizabeth Davidson; Yingfei Zhen; Olivia Pallisard; Meher Preethi Boorgula; Corey Cox; Debmalya Nandy; Souvik Seal; Kristy Crooks; Evan Sticca; Genelle F Harrison; Andrew Hopkinson; Alexis Vest; Cosby G Arnold; Michael G Kahn; David P Kao; Brett R Peterson; Stephen J Wicks; Debashis Ghosh; Steve Horvath; Wanding Zhou; Rasika A Mathias; Paul J Norman; Rishi Porecha; Ivana V Yang; Christopher R Gignoux; Andrew A Monte; Alem Taye; Kathleen C Barnes
Journal:  Commun Med (Lond)       Date:  2021-10-26

Review 5.  DNA methylation as a diagnostic tool.

Authors:  Kristyn Galbraith; Matija Snuderl
Journal:  Acta Neuropathol Commun       Date:  2022-05-08       Impact factor: 7.801

6.  Comprehensive genomic profiling of EWSR1/FUS::CREB translocation-associated tumors uncovers prognostically significant recurrent genetic alterations and methylation-transcriptional correlates.

Authors:  Josephine K Dermawan; Fabio Vanoli; Laurie Herviou; Yun-Shao Sung; Lei Zhang; Samuel Singer; William D Tap; Ryma Benayed; Tejus A Bale; Jamal K Benhamida; Brendan C Dickson; Cristina R Antonescu
Journal:  Mod Pathol       Date:  2022-03-28       Impact factor: 8.209

7.  Identification of methylation signatures and rules for predicting the severity of SARS-CoV-2 infection with machine learning methods.

Authors:  Zhiyang Liu; Mei Meng; ShiJian Ding; XiaoChao Zhou; KaiYan Feng; Tao Huang; Yu-Dong Cai
Journal:  Front Microbiol       Date:  2022-09-23       Impact factor: 6.064

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