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Baudrin LG, Deleuze JF, How-Kit A. Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer. Front Oncol 2018; 8:621. [PMID: 30631754 PMCID: PMC6315116 DOI: 10.3389/fonc.2018.00621] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 11/30/2018] [Indexed: 12/31/2022] Open
Abstract
Microsatellite instability (MSI) is a genomic alteration in which microsatellites, usually of one to four nucleotide repeats, accumulate mutations corresponding to deletions/insertions of a few nucleotides. The MSI phenotype has been extensively characterized in colorectal cancer and is due to a deficiency of the DNA mismatch repair system. MSI has recently been shown to be present in most types of cancer with variable frequencies (from <1 to 30%). It correlates positively to survival outcome and predicts the response to immune checkpoint blockade therapy. The different methods developed for MSI detection in cancer require taking into consideration two critical parameters which influence method performance. First, the microsatellite markers used should be chosen carefully to ensure they are highly sensitive and specific for MSI detection. Second, the analytical method used should be highly resolute to allow clear identification of MSI and of the mutant allele genotype, and should present the lowest limit of detection possible for application in samples with low mutant allele frequency. In this review, we describe all the different molecular and computational methods developed to date for the detection of MSI in cancer, how they have evolved and improved over the years, and their advantages and drawbacks.
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Affiliation(s)
- Laura G Baudrin
- Laboratoire de Génomique, Fondation Jean Dausset-CEPH, Paris, France.,Laboratoire d'Excellence GenMed Paris, Paris, France
| | - Jean-François Deleuze
- Laboratoire de Génomique, Fondation Jean Dausset-CEPH, Paris, France.,Centre National de Recherche en Génomique Humaine, CEA-Institut François Jacob, Evry, France
| | - Alexandre How-Kit
- Laboratoire de Génomique, Fondation Jean Dausset-CEPH, Paris, France
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How-Kit A, Daunay A, Buhard O, Meiller C, Sahbatou M, Collura A, Duval A, Deleuze JF. Major improvement in the detection of microsatellite instability in colorectal cancer using HSP110 T17 E-ice-COLD-PCR. Hum Mutat 2017; 39:441-453. [PMID: 29227006 DOI: 10.1002/humu.23379] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 11/13/2017] [Accepted: 12/04/2017] [Indexed: 12/13/2022]
Abstract
Every colorectal cancer (CRC) patient should be tested for microsatellite instability (MSI) to screen for Lynch syndrome. Evaluation of MSI status involves screening tumor DNA for the presence of somatic deletions in DNA repeats using PCR followed by fragment analysis. While this method may lack sensitivity due to the presence of a high level of germline DNA, which frequently contaminates the core of primary colon tumors, no other method developed to date is capable of modifying the standard PCR protocol to achieve improvement of MSI detection. Here, we describe a new approach developed for the ultra-sensitive detection of MSI in CRC based on E-ice-COLD-PCR, using HSP110 T17, a mononucleotide DNA repeat previously proposed as an optimal marker to detect MSI in tumor DNA, and an oligo(dT)16 LNA blocker probe complementary to wild-type genotypes. The HT17 E-ice-COLD-PCR assay improved MSI detection by 20-200-fold compared with standard PCR using HT17 alone. It presents an analytical sensitivity of 0.1%-0.05% of mutant alleles in wild-type background, thus greatly improving MSI detection in CRC samples highly contaminated with normal DNA. HT17 E-ice-COLD-PCR is a rapid, cost-effective, easy-to-implement, and highly sensitive method, which could significantly improve the detection of MSI in routine clinical testing.
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Affiliation(s)
- Alexandre How-Kit
- Laboratoire de Génomique, Fondation Jean Dausset - CEPH, Paris, France
| | - Antoine Daunay
- Laboratoire de Génomique, Fondation Jean Dausset - CEPH, Paris, France
| | - Olivier Buhard
- Sorbonne-Université, Université Pierre et Marie Curie - Paris 6, INSERM, UMRS 938-Centre de Recherche Saint-Antoine, Equipe 'Instabilité des Microsatellites et Cancers', Equipe labellisée par la Ligue Nationale contre le Cancer, France Université Pierre et Marie Curie, Paris, France
| | - Clément Meiller
- INSERM, UMR-1162, Génomique Fonctionnelle des Tumeurs Solides, Equipe labellisée Ligue Contre le Cancer, Paris, France
| | - Mourad Sahbatou
- Laboratoire de Biostatistique, Fondation Jean Dausset - CEPH, Paris, France
| | - Ada Collura
- Sorbonne-Université, Université Pierre et Marie Curie - Paris 6, INSERM, UMRS 938-Centre de Recherche Saint-Antoine, Equipe 'Instabilité des Microsatellites et Cancers', Equipe labellisée par la Ligue Nationale contre le Cancer, France Université Pierre et Marie Curie, Paris, France
| | - Alex Duval
- Sorbonne-Université, Université Pierre et Marie Curie - Paris 6, INSERM, UMRS 938-Centre de Recherche Saint-Antoine, Equipe 'Instabilité des Microsatellites et Cancers', Equipe labellisée par la Ligue Nationale contre le Cancer, France Université Pierre et Marie Curie, Paris, France
| | - Jean-François Deleuze
- Laboratoire de Génomique, Fondation Jean Dausset - CEPH, Paris, France.,Centre National de Recherche en Génomique Humaine, CEA-Institut François Jacob, Evry, France
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