Journal article
MLH1–93 G/a polymorphism is associated with MLH1 promoter methylation and protein loss in dysplastic sessile serrated adenomas with BRAFV600E mutation
BMC Cancer, Vol.18(1), pp.1-7
2018
PMCID: PMC5756376
PMID: 29304767
Appears in UniSC Supported Open Access Outputs
Abstract
BACKGROUND: Sessile serrated adenomas with BRAF mutation progress rapidly to cancer following the development of dysplasia (SSAD). Approximately 75% of SSADs methylate the mismatch repair gene MLH1, develop mismatch repair deficiency and the resultant cancers have a good prognosis. The remaining SSADs and BRAF mutant traditional serrated adenomas (TSA) develop into microsatellite stable cancers with a poor prognosis. The reason for this dichotomy is unknown. In this study, we assessed the genotypic frequency of the MLH1-93 polymorphism rs1800734 in SSADs and TSAs to determine if the uncommon variant A allele predisposes to MLH1 promoter hypermethylation. METHODS: We performed genotyping for the MLH1-93 polymorphism, quantitative methylation specific PCR, and MLH1 immunohistochemistry on 124 SSAD, 128 TSA, 203 BRAF mutant CRCs and 147 control subjects with normal colonoscopy. RESULTS: The minor A allele was significantly associated with a dose dependent increase in methylation at the MLH1 promoter in SSADs (p = 0.022). The AA genotype was only observed in SSADs with MLH1 loss. The A allele was also overrepresented in BRAF mutant cancers with MLH1 loss. Only one of the TSAs showed loss of MLH1 and the overall genotype distribution in TSAs did not differ from controls. CONCLUSIONS: The MLH1-93 AA genotype is significantly associated with promoter hypermethylation and MLH1 loss in the context of SSADs. BRAF mutant microsatellite stable colorectal cancers with the AA genotype most likely arise in TSAs since the A allele does not predispose to methylation in this context.
Details
- Title
- MLH1–93 G/a polymorphism is associated with MLH1 promoter methylation and protein loss in dysplastic sessile serrated adenomas with BRAFV600E mutation
- Authors
- Lochlan Fennell (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringSaara Jamieson (Author) - Queensland Medical Institute of Research BerghoferDiane McKeone (Author) - Queensland Medical Institute of Research BerghoferTracie Corish (Author) - Queensland Medical Institute of Research BerghoferMegan Rohdmann (Author) - Queensland Medical Institute of Research BerghoferTori Furner (Author) - Queensland Medical Institute of Research BerghoferMark Bettington (Author) - Envoi Specialist PathologyCheng Liu (Author) - Queensland Medical Institute of Research BerghoferFutoshi Kawamata (Author) - Queensland Medical Institute of Research BerghoferCatherine Bond (Author) - Queensland Medical Institute of Research BerghoferJolieke Van De Pols (Author) - Queensland University of TechnologyBarbara Leggett (Author) - Queensland Medical Institute of Research BerghoferVicki Whitehall (Author) - Queensland Medical Institute of Research Berghofer
- Publication details
- BMC Cancer, Vol.18(1), pp.1-7
- Publisher
- BioMed Central Ltd.
- Date published
- 2018
- DOI
- 10.1186/s12885-017-3946-5
- ISSN
- 1471-2407
- PMID
- 29304767; PMC5756376
- Copyright note
- Copyright © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Organisation Unit
- School of Health - Biomedicine; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99450536802621
- Output Type
- Journal article
Metrics
17 File views/ downloads
501 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Oncology
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: SDGs from InCites