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Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes
Clinical genetic testing of BRCA1 and BRCA2 is commonly performed to identify specific individuals at risk for breast and ovarian cancers who may benefit from prophylactic therapeutic interventions. Unfortunately, it is evident that deleterious BRCA1 alleles demonstrate variable penetrance and that...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694828/ https://www.ncbi.nlm.nih.gov/pubmed/26246475 |
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author | Cochran, Rory L. Cidado, Justin Kim, Minsoo Zabransky, Daniel J. Croessmann, Sarah Chu, David Wong, Hong Yuen Beaver, Julia A. Cravero, Karen Erlanger, Bracha Parsons, Heather Heaphy, Christopher M. Meeker, Alan K. Lauring, Josh Park, Ben Ho |
author_facet | Cochran, Rory L. Cidado, Justin Kim, Minsoo Zabransky, Daniel J. Croessmann, Sarah Chu, David Wong, Hong Yuen Beaver, Julia A. Cravero, Karen Erlanger, Bracha Parsons, Heather Heaphy, Christopher M. Meeker, Alan K. Lauring, Josh Park, Ben Ho |
author_sort | Cochran, Rory L. |
collection | PubMed |
description | Clinical genetic testing of BRCA1 and BRCA2 is commonly performed to identify specific individuals at risk for breast and ovarian cancers who may benefit from prophylactic therapeutic interventions. Unfortunately, it is evident that deleterious BRCA1 alleles demonstrate variable penetrance and that many BRCA1 variants of unknown significance (VUS) exist. In order to further refine hereditary risks that may be associated with specific BRCA1 alleles, we performed gene targeting to establish an isogenic panel of immortalized human breast epithelial cells harboring eight clinically relevant BRCA1 alleles. Interestingly, BRCA1 mutations and VUS had distinct, quantifiable phenotypes relative to isogenic parental BRCA1 wild type cells and controls. Heterozygous cells with known deleterious BRCA1 mutations (185delAG, C61G and R71G) demonstrated consistent phenotypes in radiation sensitivity and genomic instability assays, but showed variability in other assays. Heterozygous BRCA1 VUS cells also demonstrated assay variability, with some VUS demonstrating phenotypes more consistent with deleterious alleles. Taken together, our data suggest that BRCA1 deleterious mutations and VUS can differ in their range of tested phenotypes, suggesting they might impart varying degrees of risk. These results demonstrate that functional isogenic modeling of BRCA1 alleles could aid in classifying BRCA1 mutations and VUS, and determining BRCA allele cancer risk. |
format | Online Article Text |
id | pubmed-4694828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-46948282016-01-20 Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes Cochran, Rory L. Cidado, Justin Kim, Minsoo Zabransky, Daniel J. Croessmann, Sarah Chu, David Wong, Hong Yuen Beaver, Julia A. Cravero, Karen Erlanger, Bracha Parsons, Heather Heaphy, Christopher M. Meeker, Alan K. Lauring, Josh Park, Ben Ho Oncotarget Research Paper Clinical genetic testing of BRCA1 and BRCA2 is commonly performed to identify specific individuals at risk for breast and ovarian cancers who may benefit from prophylactic therapeutic interventions. Unfortunately, it is evident that deleterious BRCA1 alleles demonstrate variable penetrance and that many BRCA1 variants of unknown significance (VUS) exist. In order to further refine hereditary risks that may be associated with specific BRCA1 alleles, we performed gene targeting to establish an isogenic panel of immortalized human breast epithelial cells harboring eight clinically relevant BRCA1 alleles. Interestingly, BRCA1 mutations and VUS had distinct, quantifiable phenotypes relative to isogenic parental BRCA1 wild type cells and controls. Heterozygous cells with known deleterious BRCA1 mutations (185delAG, C61G and R71G) demonstrated consistent phenotypes in radiation sensitivity and genomic instability assays, but showed variability in other assays. Heterozygous BRCA1 VUS cells also demonstrated assay variability, with some VUS demonstrating phenotypes more consistent with deleterious alleles. Taken together, our data suggest that BRCA1 deleterious mutations and VUS can differ in their range of tested phenotypes, suggesting they might impart varying degrees of risk. These results demonstrate that functional isogenic modeling of BRCA1 alleles could aid in classifying BRCA1 mutations and VUS, and determining BRCA allele cancer risk. Impact Journals LLC 2015-06-23 /pmc/articles/PMC4694828/ /pubmed/26246475 Text en Copyright: © 2015 Cochran et al. http://creativecommons.org/licenses/by/2.5/ 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 credited. |
spellingShingle | Research Paper Cochran, Rory L. Cidado, Justin Kim, Minsoo Zabransky, Daniel J. Croessmann, Sarah Chu, David Wong, Hong Yuen Beaver, Julia A. Cravero, Karen Erlanger, Bracha Parsons, Heather Heaphy, Christopher M. Meeker, Alan K. Lauring, Josh Park, Ben Ho Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title | Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title_full | Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title_fullStr | Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title_full_unstemmed | Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title_short | Functional isogenic modeling of BRCA1 alleles reveals distinct carrier phenotypes |
title_sort | functional isogenic modeling of brca1 alleles reveals distinct carrier phenotypes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4694828/ https://www.ncbi.nlm.nih.gov/pubmed/26246475 |
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