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Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis

INTRODUCTION: CHEK2 is a tumor suppressor gene, and the mutations affecting the functionality of the protein product increase cancer risk in various organs. The elevated risk, in a significant percentage of cases, is determined by the occurrence of one of the four most common mutations in the CHEK2...

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Autores principales: Borun, Pawel, Salanowski, Kacper, Godlewski, Dariusz, Walkowiak, Jaroslaw, Plawski, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654745/
https://www.ncbi.nlm.nih.gov/pubmed/26446916
http://dx.doi.org/10.1007/s40291-015-0171-2
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author Borun, Pawel
Salanowski, Kacper
Godlewski, Dariusz
Walkowiak, Jaroslaw
Plawski, Andrzej
author_facet Borun, Pawel
Salanowski, Kacper
Godlewski, Dariusz
Walkowiak, Jaroslaw
Plawski, Andrzej
author_sort Borun, Pawel
collection PubMed
description INTRODUCTION: CHEK2 is a tumor suppressor gene, and the mutations affecting the functionality of the protein product increase cancer risk in various organs. The elevated risk, in a significant percentage of cases, is determined by the occurrence of one of the four most common mutations in the CHEK2 gene, including c.470T>C (p.I157T), c.444+1G>A (IVS2+1G>A), c.1100delC, and c.1037+1538_1224+328del5395 (del5395). METHODS: We have developed and validated a rapid and effective method for their detection based on high-resolution melting analysis and comparative-high-resolution melting, a novel approach enabling simultaneous detection of copy number variations. The analysis is performed in two polymerase chain reactions followed by melting analysis, without any additional reagents or handling other than that used in standard high-resolution melting. RESULTS: Validation of the method was conducted in a group of 103 patients with diagnosed breast cancer, a group of 240 unrelated patients with familial history of cancer associated with the CHEK2 gene mutations, and a 100-person control group. The results of the analyses for all three groups were fully consistent with the results from other methods. CONCLUSION: The method we have developed improves the identification of the CHEK2 mutation carriers, reduces the cost of such analyses, as well as facilitates their implementation. Along with the increased efficiency, the method maintains accuracy and reliability comparable to other more labor-consuming techniques. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40291-015-0171-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-46547452015-11-27 Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis Borun, Pawel Salanowski, Kacper Godlewski, Dariusz Walkowiak, Jaroslaw Plawski, Andrzej Mol Diagn Ther Original Research Article INTRODUCTION: CHEK2 is a tumor suppressor gene, and the mutations affecting the functionality of the protein product increase cancer risk in various organs. The elevated risk, in a significant percentage of cases, is determined by the occurrence of one of the four most common mutations in the CHEK2 gene, including c.470T>C (p.I157T), c.444+1G>A (IVS2+1G>A), c.1100delC, and c.1037+1538_1224+328del5395 (del5395). METHODS: We have developed and validated a rapid and effective method for their detection based on high-resolution melting analysis and comparative-high-resolution melting, a novel approach enabling simultaneous detection of copy number variations. The analysis is performed in two polymerase chain reactions followed by melting analysis, without any additional reagents or handling other than that used in standard high-resolution melting. RESULTS: Validation of the method was conducted in a group of 103 patients with diagnosed breast cancer, a group of 240 unrelated patients with familial history of cancer associated with the CHEK2 gene mutations, and a 100-person control group. The results of the analyses for all three groups were fully consistent with the results from other methods. CONCLUSION: The method we have developed improves the identification of the CHEK2 mutation carriers, reduces the cost of such analyses, as well as facilitates their implementation. Along with the increased efficiency, the method maintains accuracy and reliability comparable to other more labor-consuming techniques. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s40291-015-0171-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-10-07 2015 /pmc/articles/PMC4654745/ /pubmed/26446916 http://dx.doi.org/10.1007/s40291-015-0171-2 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research Article
Borun, Pawel
Salanowski, Kacper
Godlewski, Dariusz
Walkowiak, Jaroslaw
Plawski, Andrzej
Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title_full Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title_fullStr Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title_full_unstemmed Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title_short Rapid Detection Method for the Four Most Common CHEK2 Mutations Based on Melting Profile Analysis
title_sort rapid detection method for the four most common chek2 mutations based on melting profile analysis
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654745/
https://www.ncbi.nlm.nih.gov/pubmed/26446916
http://dx.doi.org/10.1007/s40291-015-0171-2
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