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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3646030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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