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Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients
BACKGROUND: Microsatellite instability (MSI), resulting from a defective mismatch repair system, occurs in approximately 15% of sporadic colorectal cancers (CRC). Since MSI is associated with a poor response to 5-fluorouracile based chemotherapy and is a positive predictive marker of immunotherapy,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802299/ https://www.ncbi.nlm.nih.gov/pubmed/31638937 http://dx.doi.org/10.1186/s12885-019-6227-7 |
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author | Johansen, Amanda Frydendahl Boll Kassentoft, Christine Gaasdal Knudsen, Michael Laursen, Maria Bach Madsen, Anders Husted Iversen, Lene Hjerrild Sunesen, Kåre Gotschalck Rasmussen, Mads Heilskov Andersen, Claus Lindbjerg |
author_facet | Johansen, Amanda Frydendahl Boll Kassentoft, Christine Gaasdal Knudsen, Michael Laursen, Maria Bach Madsen, Anders Husted Iversen, Lene Hjerrild Sunesen, Kåre Gotschalck Rasmussen, Mads Heilskov Andersen, Claus Lindbjerg |
author_sort | Johansen, Amanda Frydendahl Boll |
collection | PubMed |
description | BACKGROUND: Microsatellite instability (MSI), resulting from a defective mismatch repair system, occurs in approximately 15% of sporadic colorectal cancers (CRC). Since MSI is associated with a poor response to 5-fluorouracile based chemotherapy and is a positive predictive marker of immunotherapy, it is routine practice to evaluate the MSI status of resected tumors in CRC patients. MSIsensor is a novel computational tool for determining MSI status using Next Generation Sequencing. However, it is not widely used in the clinic and has not been independently validated in exome data from CRC. To facilitate clinical implementation of computational determination of MSI status, we compared MSIsensor to current gold standard methods for MSI testing. METHODS: MSI status was determined for 130 CRC patients (UICC stage I-IV) using immunohistochemistry, PCR based microsatellite stability testing and by applying MSIsensor to exome sequenced tumors and paired germline DNA. Furthermore, we investigated correlation between MSI status, mutational load and mutational signatures. RESULTS: Eighteen out of 130 (13.8%) patients were microsatellite instable. We found a 100% agreement between MSIsensor and gold standard methods for MSI testing. All MSI tumors were hypermutated. In addition, two microsatellite stable (MSS) tumors were hypermutated, which was explained by a dominant POLE signature and pathogenic POLE mutations (p.Pro286Arg and p.Ser459Phe). CONCLUSION: MSIsensor is a robust tool, which can be used to determine MSI status of tumor samples from exome sequenced CRC patients. |
format | Online Article Text |
id | pubmed-6802299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68022992019-10-22 Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients Johansen, Amanda Frydendahl Boll Kassentoft, Christine Gaasdal Knudsen, Michael Laursen, Maria Bach Madsen, Anders Husted Iversen, Lene Hjerrild Sunesen, Kåre Gotschalck Rasmussen, Mads Heilskov Andersen, Claus Lindbjerg BMC Cancer Research Article BACKGROUND: Microsatellite instability (MSI), resulting from a defective mismatch repair system, occurs in approximately 15% of sporadic colorectal cancers (CRC). Since MSI is associated with a poor response to 5-fluorouracile based chemotherapy and is a positive predictive marker of immunotherapy, it is routine practice to evaluate the MSI status of resected tumors in CRC patients. MSIsensor is a novel computational tool for determining MSI status using Next Generation Sequencing. However, it is not widely used in the clinic and has not been independently validated in exome data from CRC. To facilitate clinical implementation of computational determination of MSI status, we compared MSIsensor to current gold standard methods for MSI testing. METHODS: MSI status was determined for 130 CRC patients (UICC stage I-IV) using immunohistochemistry, PCR based microsatellite stability testing and by applying MSIsensor to exome sequenced tumors and paired germline DNA. Furthermore, we investigated correlation between MSI status, mutational load and mutational signatures. RESULTS: Eighteen out of 130 (13.8%) patients were microsatellite instable. We found a 100% agreement between MSIsensor and gold standard methods for MSI testing. All MSI tumors were hypermutated. In addition, two microsatellite stable (MSS) tumors were hypermutated, which was explained by a dominant POLE signature and pathogenic POLE mutations (p.Pro286Arg and p.Ser459Phe). CONCLUSION: MSIsensor is a robust tool, which can be used to determine MSI status of tumor samples from exome sequenced CRC patients. BioMed Central 2019-10-21 /pmc/articles/PMC6802299/ /pubmed/31638937 http://dx.doi.org/10.1186/s12885-019-6227-7 Text en © The Author(s). 2019 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 Article Johansen, Amanda Frydendahl Boll Kassentoft, Christine Gaasdal Knudsen, Michael Laursen, Maria Bach Madsen, Anders Husted Iversen, Lene Hjerrild Sunesen, Kåre Gotschalck Rasmussen, Mads Heilskov Andersen, Claus Lindbjerg Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title | Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title_full | Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title_fullStr | Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title_full_unstemmed | Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title_short | Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
title_sort | validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802299/ https://www.ncbi.nlm.nih.gov/pubmed/31638937 http://dx.doi.org/10.1186/s12885-019-6227-7 |
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