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Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas
BACKGROUND: Cancer susceptibility germline variants generally require somatic alteration of the remaining allele to drive oncogenesis and, in some cases, tumor mutational profiles. Whether combined germline and somatic bi-allelic alterations are universally required for germline variation to influen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138910/ https://www.ncbi.nlm.nih.gov/pubmed/30217226 http://dx.doi.org/10.1186/s13073-018-0579-5 |
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author | Buckley, Alexandra R. Ideker, Trey Carter, Hannah Harismendy, Olivier Schork, Nicholas J. |
author_facet | Buckley, Alexandra R. Ideker, Trey Carter, Hannah Harismendy, Olivier Schork, Nicholas J. |
author_sort | Buckley, Alexandra R. |
collection | PubMed |
description | BACKGROUND: Cancer susceptibility germline variants generally require somatic alteration of the remaining allele to drive oncogenesis and, in some cases, tumor mutational profiles. Whether combined germline and somatic bi-allelic alterations are universally required for germline variation to influence tumor mutational profile is unclear. Here, we performed an exome-wide analysis of the frequency and functional effect of bi-allelic alterations in The Cancer Genome Atlas (TCGA). METHODS: We integrated germline variant, somatic mutation, somatic methylation, and somatic copy number loss data from 7790 individuals from TCGA to identify germline and somatic bi-allelic alterations in all coding genes. We used linear models to test for association between mono- and bi-allelic alterations and somatic microsatellite instability (MSI) and somatic mutational signatures. RESULTS: We discovered significant enrichment of bi-allelic alterations in mismatch repair (MMR) genes and identified six bi-allelic carriers with elevated MSI, consistent with Lynch syndrome. In contrast, we find little evidence of an effect of mono-allelic germline variation on MSI. Using MSI burden and bi-allelic alteration status, we reclassify two variants of unknown significance in MSH6 as potentially pathogenic for Lynch syndrome. Extending our analysis of MSI to a set of 127 DNA damage repair (DDR) genes, we identified a novel association between methylation of SHPRH and MSI burden. CONCLUSIONS: We find that bi-allelic alterations are infrequent in TCGA but most frequently occur in BRCA1/2 and MMR genes. Our results support the idea that bi-allelic alteration is required for germline variation to influence tumor mutational profile. Overall, we demonstrate that integrating germline, somatic, and epigenetic alterations provides new understanding of somatic mutational profiles. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0579-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6138910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61389102018-09-15 Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas Buckley, Alexandra R. Ideker, Trey Carter, Hannah Harismendy, Olivier Schork, Nicholas J. Genome Med Research BACKGROUND: Cancer susceptibility germline variants generally require somatic alteration of the remaining allele to drive oncogenesis and, in some cases, tumor mutational profiles. Whether combined germline and somatic bi-allelic alterations are universally required for germline variation to influence tumor mutational profile is unclear. Here, we performed an exome-wide analysis of the frequency and functional effect of bi-allelic alterations in The Cancer Genome Atlas (TCGA). METHODS: We integrated germline variant, somatic mutation, somatic methylation, and somatic copy number loss data from 7790 individuals from TCGA to identify germline and somatic bi-allelic alterations in all coding genes. We used linear models to test for association between mono- and bi-allelic alterations and somatic microsatellite instability (MSI) and somatic mutational signatures. RESULTS: We discovered significant enrichment of bi-allelic alterations in mismatch repair (MMR) genes and identified six bi-allelic carriers with elevated MSI, consistent with Lynch syndrome. In contrast, we find little evidence of an effect of mono-allelic germline variation on MSI. Using MSI burden and bi-allelic alteration status, we reclassify two variants of unknown significance in MSH6 as potentially pathogenic for Lynch syndrome. Extending our analysis of MSI to a set of 127 DNA damage repair (DDR) genes, we identified a novel association between methylation of SHPRH and MSI burden. CONCLUSIONS: We find that bi-allelic alterations are infrequent in TCGA but most frequently occur in BRCA1/2 and MMR genes. Our results support the idea that bi-allelic alteration is required for germline variation to influence tumor mutational profile. Overall, we demonstrate that integrating germline, somatic, and epigenetic alterations provides new understanding of somatic mutational profiles. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0579-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-14 /pmc/articles/PMC6138910/ /pubmed/30217226 http://dx.doi.org/10.1186/s13073-018-0579-5 Text en © The Author(s). 2018 Open AccessThis 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. |
spellingShingle | Research Buckley, Alexandra R. Ideker, Trey Carter, Hannah Harismendy, Olivier Schork, Nicholas J. Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title | Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title_full | Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title_fullStr | Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title_full_unstemmed | Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title_short | Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas |
title_sort | exome-wide analysis of bi-allelic alterations identifies a lynch phenotype in the cancer genome atlas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138910/ https://www.ncbi.nlm.nih.gov/pubmed/30217226 http://dx.doi.org/10.1186/s13073-018-0579-5 |
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