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The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome
In about 20–30% of all women with breast cancer, an increased number of cases of breast cancer can be observed in their family history. However, currently, only 5–10% of all breast cancer cases can be attributed to a pathogenic gene alteration. Molecular genetic diagnostics underwent enormous develo...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535571/ https://www.ncbi.nlm.nih.gov/pubmed/34680878 http://dx.doi.org/10.3390/genes12101483 |
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author | Resch, Luise D. Hotz, Alrun Zimmer, Andreas D. Komlosi, Katalin Singh, Nina Tzschach, Andreas Windfuhr-Blum, Marisa Juhasz-Boess, Ingolf Erbes, Thalia Fischer, Judith Alter, Svenja |
author_facet | Resch, Luise D. Hotz, Alrun Zimmer, Andreas D. Komlosi, Katalin Singh, Nina Tzschach, Andreas Windfuhr-Blum, Marisa Juhasz-Boess, Ingolf Erbes, Thalia Fischer, Judith Alter, Svenja |
author_sort | Resch, Luise D. |
collection | PubMed |
description | In about 20–30% of all women with breast cancer, an increased number of cases of breast cancer can be observed in their family history. However, currently, only 5–10% of all breast cancer cases can be attributed to a pathogenic gene alteration. Molecular genetic diagnostics underwent enormous development within the last 10 years. Next-generation sequencing approaches allow increasingly extensive analyses resulting in the identification of additional candidate genes. In the present work, the germline molecular diagnostic analysis of a cohort of 228 patients with suspected hereditary breast and ovarian cancer syndrome (HBOC) was evaluated. The 27 pathogenic gene variants initially detected are listed, and their distribution in the high-risk BRCA1 and BRCA2 genes is presented in this study. In ten high-risk patients, in whom, to date, no pathogenic variant could be detected, an extended genetic analysis of previously not considered risk genes was performed. Three variants of uncertain significance and one pathogenic variant could be described. This proves the importance of extended analysis using current molecular genetic methods. |
format | Online Article Text |
id | pubmed-8535571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85355712021-10-23 The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome Resch, Luise D. Hotz, Alrun Zimmer, Andreas D. Komlosi, Katalin Singh, Nina Tzschach, Andreas Windfuhr-Blum, Marisa Juhasz-Boess, Ingolf Erbes, Thalia Fischer, Judith Alter, Svenja Genes (Basel) Communication In about 20–30% of all women with breast cancer, an increased number of cases of breast cancer can be observed in their family history. However, currently, only 5–10% of all breast cancer cases can be attributed to a pathogenic gene alteration. Molecular genetic diagnostics underwent enormous development within the last 10 years. Next-generation sequencing approaches allow increasingly extensive analyses resulting in the identification of additional candidate genes. In the present work, the germline molecular diagnostic analysis of a cohort of 228 patients with suspected hereditary breast and ovarian cancer syndrome (HBOC) was evaluated. The 27 pathogenic gene variants initially detected are listed, and their distribution in the high-risk BRCA1 and BRCA2 genes is presented in this study. In ten high-risk patients, in whom, to date, no pathogenic variant could be detected, an extended genetic analysis of previously not considered risk genes was performed. Three variants of uncertain significance and one pathogenic variant could be described. This proves the importance of extended analysis using current molecular genetic methods. MDPI 2021-09-24 /pmc/articles/PMC8535571/ /pubmed/34680878 http://dx.doi.org/10.3390/genes12101483 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Resch, Luise D. Hotz, Alrun Zimmer, Andreas D. Komlosi, Katalin Singh, Nina Tzschach, Andreas Windfuhr-Blum, Marisa Juhasz-Boess, Ingolf Erbes, Thalia Fischer, Judith Alter, Svenja The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title | The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title_full | The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title_fullStr | The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title_full_unstemmed | The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title_short | The Importance of Extended Analysis Using Current Molecular Genetic Methods Based on the Example of a Cohort of 228 Patients with Hereditary Breast and Ovarian Cancer Syndrome |
title_sort | importance of extended analysis using current molecular genetic methods based on the example of a cohort of 228 patients with hereditary breast and ovarian cancer syndrome |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535571/ https://www.ncbi.nlm.nih.gov/pubmed/34680878 http://dx.doi.org/10.3390/genes12101483 |
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