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Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer

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 def...

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Autores principales: Baudrin, Laura G., Deleuze, Jean-François, How-Kit, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315116/
https://www.ncbi.nlm.nih.gov/pubmed/30631754
http://dx.doi.org/10.3389/fonc.2018.00621
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author Baudrin, Laura G.
Deleuze, Jean-François
How-Kit, Alexandre
author_facet Baudrin, Laura G.
Deleuze, Jean-François
How-Kit, Alexandre
author_sort Baudrin, Laura G.
collection PubMed
description 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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spelling pubmed-63151162019-01-10 Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer Baudrin, Laura G. Deleuze, Jean-François How-Kit, Alexandre Front Oncol Oncology 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. Frontiers Media S.A. 2018-12-12 /pmc/articles/PMC6315116/ /pubmed/30631754 http://dx.doi.org/10.3389/fonc.2018.00621 Text en Copyright © 2018 Baudrin, Deleuze and How-Kit. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Baudrin, Laura G.
Deleuze, Jean-François
How-Kit, Alexandre
Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title_full Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title_fullStr Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title_full_unstemmed Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title_short Molecular and Computational Methods for the Detection of Microsatellite Instability in Cancer
title_sort molecular and computational methods for the detection of microsatellite instability in cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315116/
https://www.ncbi.nlm.nih.gov/pubmed/30631754
http://dx.doi.org/10.3389/fonc.2018.00621
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