Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women

This study suggests that two newly discovered variants in the <i>MSH2</i> gene, which codes for a DNA mismatch repair (MMR) protein, can be associated with a high risk of breast cancer. While variants in the MSH2 gene are known to be linked with an elevated cancer risk, the MSH2 gene is...

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Main Authors: Bohua Wu, Yunhui Peng, Julia Eggert, Emil Alexov
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/20/19/4828
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spelling doaj-3b380798b0384e0e9b14658fe6b5c3122020-11-24T22:10:06ZengMDPI AGInternational Journal of Molecular Sciences1422-00672019-09-012019482810.3390/ijms20194828ijms20194828Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in WomenBohua Wu0Yunhui Peng1Julia Eggert2Emil Alexov3Healthcare Genetics, School of Nursing, Clemson University, Clemson, SC 29634, USAComputational Biophysics and Bioinformatics, Department of Physics, Clemson University, Clemson, SC 29634, USAHealthcare Genetics, School of Nursing, Clemson University, Clemson, SC 29634, USAHealthcare Genetics, School of Nursing, Clemson University, Clemson, SC 29634, USAThis study suggests that two newly discovered variants in the <i>MSH2</i> gene, which codes for a DNA mismatch repair (MMR) protein, can be associated with a high risk of breast cancer. While variants in the MSH2 gene are known to be linked with an elevated cancer risk, the MSH2 gene is not a part of the standard kit for testing patients for elevated breast cancer risk. Here we used the results of genetic testing of women diagnosed with breast cancer, but who did not have variants in <i>BRCA1</i> and <i>BRCA2</i> genes. Instead, the test identified four variants with unknown significance (VUS) in the <i>MSH2</i> gene. Here, we carried in silico analysis to develop a classifier that can distinguish pathogenic from benign mutations in <i>MSH2</i> genes taken from ClinVar. The classifier was then used to classify VUS in <i>MSH2</i> genes, and two of them, p.Ala272Val and p.Met592Val, were predicted to be pathogenic mutations. These two mutations were found in women with breast cancer who did not have mutations in <i>BRCA1</i> and <i>BRCA2</i> genes, and thus they are suggested to be considered as new bio-markers for the early detection of elevated breast cancer risk. However, before this is done, an in vitro validation of mutation pathogenicity is needed and, moreover, the presence of these mutations should be demonstrated in a higher number of patients or in families with breast cancer history.https://www.mdpi.com/1422-0067/20/19/4828msh2breast cancerpersonalized medicineearly diagnosticscomputational modelingdisease-causing mutationsvariants
collection DOAJ
language English
format Article
sources DOAJ
author Bohua Wu
Yunhui Peng
Julia Eggert
Emil Alexov
spellingShingle Bohua Wu
Yunhui Peng
Julia Eggert
Emil Alexov
Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
International Journal of Molecular Sciences
msh2
breast cancer
personalized medicine
early diagnostics
computational modeling
disease-causing mutations
variants
author_facet Bohua Wu
Yunhui Peng
Julia Eggert
Emil Alexov
author_sort Bohua Wu
title Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
title_short Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
title_full Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
title_fullStr Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
title_full_unstemmed Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women
title_sort novel genetic markers for early detection of elevated breast cancer risk in women
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2019-09-01
description This study suggests that two newly discovered variants in the <i>MSH2</i> gene, which codes for a DNA mismatch repair (MMR) protein, can be associated with a high risk of breast cancer. While variants in the MSH2 gene are known to be linked with an elevated cancer risk, the MSH2 gene is not a part of the standard kit for testing patients for elevated breast cancer risk. Here we used the results of genetic testing of women diagnosed with breast cancer, but who did not have variants in <i>BRCA1</i> and <i>BRCA2</i> genes. Instead, the test identified four variants with unknown significance (VUS) in the <i>MSH2</i> gene. Here, we carried in silico analysis to develop a classifier that can distinguish pathogenic from benign mutations in <i>MSH2</i> genes taken from ClinVar. The classifier was then used to classify VUS in <i>MSH2</i> genes, and two of them, p.Ala272Val and p.Met592Val, were predicted to be pathogenic mutations. These two mutations were found in women with breast cancer who did not have mutations in <i>BRCA1</i> and <i>BRCA2</i> genes, and thus they are suggested to be considered as new bio-markers for the early detection of elevated breast cancer risk. However, before this is done, an in vitro validation of mutation pathogenicity is needed and, moreover, the presence of these mutations should be demonstrated in a higher number of patients or in families with breast cancer history.
topic msh2
breast cancer
personalized medicine
early diagnostics
computational modeling
disease-causing mutations
variants
url https://www.mdpi.com/1422-0067/20/19/4828
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