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      Validation of computational determination of microsatellite status using whole exome sequencing data from colorectal cancer patients

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          Abstract

          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.

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          Most cited references20

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          Tumor microsatellite-instability status as a predictor of benefit from fluorouracil-based adjuvant chemotherapy for colon cancer.

          Colon cancers with high-frequency microsatellite instability have clinical and pathological features that distinguish them from microsatellite-stable tumors. We investigated the usefulness of microsatellite-instability status as a predictor of the benefit of adjuvant chemotherapy with fluorouracil in stage II and stage III colon cancer. Tumor specimens were collected from patients with colon cancer who were enrolled in randomized trials of fluorouracil-based adjuvant chemotherapy. Microsatellite instability was assessed with the use of mononucleotide and dinucleotide markers. Of 570 tissue specimens, 95 (16.7 percent) exhibited high-frequency microsatellite instability. Among 287 patients who did not receive adjuvant therapy, those with tumors displaying high-frequency microsatellite instability had a better five-year rate of overall survival than patients with tumors exhibiting microsatellite stability or low-frequency instability (hazard ratio for death, 0.31 [95 percent confidence interval, 0.14 to 0.72]; P=0.004). Among patients who received adjuvant chemotherapy, high-frequency microsatellite instability was not correlated with increased overall survival (hazard ratio for death, 1.07 [95 percent confidence interval, 0.62 to 1.86]; P=0.80). The benefit of treatment differed significantly according to the microsatellite-instability status (P=0.01). Adjuvant chemotherapy improved overall survival among patients with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability, according to a multivariate analysis adjusted for stage and grade (hazard ratio for death, 0.72 [95 percent confidence interval, 0.53 to 0.99]; P=0.04). By contrast, there was no benefit of adjuvant chemotherapy in the group with high-frequency microsatellite instability. Fluorouracil-based adjuvant chemotherapy benefited patients with stage II or stage III colon cancer with microsatellite-stable tumors or tumors exhibiting low-frequency microsatellite instability but not those with tumors exhibiting high-frequency microsatellite instability. Copyright 2003 Massachusetts Medical Society
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            Mutation in the DNA mismatch repair gene homologue hMLH1 is associated with hereditary non-polyposis colon cancer.

            The human DNA mismatch repair gene homologue hMSH2, on chromosome 2p is involved in hereditary non-polyposis colon cancer (HNPCC). On the basis of linkage data, a second HNPCC locus was assigned to chromosome 3p21-23 (ref. 3). Here we report that a human gene encoding a protein, hMLH1 (human MutL homologue), homologous to the bacterial DNA mismatch repair protein MutL, is located on human chromosome 3p21.3-23. We propose that hMLH1 is the HNPCC gene located on 3p because of the similarity of the hMLH1 gene product to the yeast DNA mismatch repair protein, MLH1, the coincident location of the hMLH1 gene and the HNPCC locus on chromosome 3, and hMLH1 missense mutations in affected individuals from a chromosome 3-linked HNPCC family.
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              Microsatellite instability detection by next generation sequencing.

              Microsatellite instability (MSI) is a useful phenotype in cancer diagnosis and prognosis. Nevertheless, methods to detect MSI status from next generation DNA sequencing (NGS) data are underdeveloped. We developed an approach to detect the MSI phenotype using NGS (mSINGS). The method was used to evaluate mononucleotide microsatellite loci that were incidentally sequenced after targeted gene enrichment and could be applied to gene or exome capture panels designed for other purposes. For each microsatellite locus, the number of differently sized repeats in experimental samples were quantified and compared to a population of normal controls. Loci were considered unstable if the experimental number of repeats was statistically greater than in the control population. MSI status was determined by the fraction of unstable microsatellite loci. We examined data from 324 samples generated using targeted gene capture assays of 3 different sizes, ranging from a 0.85-Mb to a 44-Mb exome design and incorporating from 15 to 2957 microsatellite markers. When we compared mSING results to MSI-PCR as a gold standard for 108 cases, we found the approach to be both diagnostically sensitive (range of 96.4% to 100% across 3 panels) and specific (range of 97.2% to 100%) for determining MSI status. The fraction of unstable microsatellite markers calculated from sequencing data correlated with the number of unstable loci detected by conventional MSI-PCR testing. NGS data can enable highly accurate detection of MSI, even from limited capture designs. This novel approach offers several advantages over existing PCR-based methods. © 2014 American Association for Clinical Chemistry.
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                Author and article information

                Contributors
                +45 78455319 , cla@clin.au.dk
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                21 October 2019
                21 October 2019
                2019
                : 19
                : 971
                Affiliations
                [1 ]ISNI 0000 0004 0512 597X, GRID grid.154185.c, Department of Molecular Medicine, , Aarhus University Hospital, ; Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus N, Denmark
                [2 ]ISNI 0000 0004 0639 1719, GRID grid.414058.c, Department of Surgery, , Herning Regional Hospital, ; Herning, Denmark
                [3 ]ISNI 0000 0004 0512 597X, GRID grid.154185.c, Department of Surgery, , Aarhus University Hospital, ; Aarhus, Denmark
                [4 ]ISNI 0000 0004 0646 8878, GRID grid.415677.6, Department of Surgery, , Randers Regional Hospital, ; Randers, Denmark
                Author information
                http://orcid.org/0000-0002-7406-2103
                Article
                6227
                10.1186/s12885-019-6227-7
                6802299
                31638937
                7ebb6f57-57ea-456e-81b7-16f8488a61f7
                © 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.

                History
                : 28 June 2019
                : 9 October 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100009708, Novo Nordisk Fonden;
                Award ID: NNF14OC0012747, NNF17OC0025052
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100008363, Kræftens Bekæmpelse;
                Award ID: R107-A7935, R133-A8520-00-S41, R146-A9466-16-S2
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Oncology & Radiotherapy
                msisensor,colorectal cancer,dna mismatch repair deficiency,microsatellite instability,msi,mss,pole,exome sequencing

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