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A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells

Microsatellite instability (MSI) is characterized by the expansion or contraction of DNA repeat tracts as a consequence of DNA mismatch repair deficiency (MMRD). Accurate detection of MSI in cancer cells is important since MSI is associated with several cancer subtypes and can help inform therapeuti...

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Detalles Bibliográficos
Autores principales: Lu, Yuheng, Soong, T. David, Elemento, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646030/
https://www.ncbi.nlm.nih.gov/pubmed/23671654
http://dx.doi.org/10.1371/journal.pone.0063056
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author Lu, Yuheng
Soong, T. David
Elemento, Olivier
author_facet Lu, Yuheng
Soong, T. David
Elemento, Olivier
author_sort Lu, Yuheng
collection PubMed
description Microsatellite instability (MSI) is characterized by the expansion or contraction of DNA repeat tracts as a consequence of DNA mismatch repair deficiency (MMRD). Accurate detection of MSI in cancer cells is important since MSI is associated with several cancer subtypes and can help inform therapeutic decisions. Although experimental assays have been developed to detect MSI, they typically depend on a small number of known microsatellite loci or mismatch repair genes and have limited reliability. Here, we report a novel genome-wide approach for MSI detection based on the global detection of insertions and deletions (indels) in microsatellites found in expressed genes. Our large-scale analyses of 20 cancer cell lines and 123 normal individuals revealed striking indel features associated with MSI: there is a significant increase of short microsatellite deletions in MSI samples compared to microsatellite stable (MSS) ones, suggesting a mechanistic bias of repair efficiency between insertions and deletions in normal human cells. By incorporating this observation into our MSI scoring metric, we show that our approach can correctly distinguish between MSI and MSS cancer cell lines. Moreover, when we applied this approach to primal tumor samples, our metric is also well consistent with diagnosed MSI status. Thus, our study offers new insight into DNA mismatch repair system, and also provides a novel MSI diagnosis method for clinical oncology with better reliability.
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spelling pubmed-36460302013-05-13 A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells Lu, Yuheng Soong, T. David Elemento, Olivier PLoS One Research Article Microsatellite instability (MSI) is characterized by the expansion or contraction of DNA repeat tracts as a consequence of DNA mismatch repair deficiency (MMRD). Accurate detection of MSI in cancer cells is important since MSI is associated with several cancer subtypes and can help inform therapeutic decisions. Although experimental assays have been developed to detect MSI, they typically depend on a small number of known microsatellite loci or mismatch repair genes and have limited reliability. Here, we report a novel genome-wide approach for MSI detection based on the global detection of insertions and deletions (indels) in microsatellites found in expressed genes. Our large-scale analyses of 20 cancer cell lines and 123 normal individuals revealed striking indel features associated with MSI: there is a significant increase of short microsatellite deletions in MSI samples compared to microsatellite stable (MSS) ones, suggesting a mechanistic bias of repair efficiency between insertions and deletions in normal human cells. By incorporating this observation into our MSI scoring metric, we show that our approach can correctly distinguish between MSI and MSS cancer cell lines. Moreover, when we applied this approach to primal tumor samples, our metric is also well consistent with diagnosed MSI status. Thus, our study offers new insight into DNA mismatch repair system, and also provides a novel MSI diagnosis method for clinical oncology with better reliability. Public Library of Science 2013-05-06 /pmc/articles/PMC3646030/ /pubmed/23671654 http://dx.doi.org/10.1371/journal.pone.0063056 Text en © 2013 Lu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lu, Yuheng
Soong, T. David
Elemento, Olivier
A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title_full A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title_fullStr A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title_full_unstemmed A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title_short A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells
title_sort novel approach for characterizing microsatellite instability in cancer cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646030/
https://www.ncbi.nlm.nih.gov/pubmed/23671654
http://dx.doi.org/10.1371/journal.pone.0063056
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