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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
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.
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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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