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Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2

O’Mahony, D.G. ; Borg, A. LU and Chung, Wendy K (2023) In British Journal of Cancer 128. p.2283-2294
Abstract
Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system. Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other... (More)
Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system. Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong). Results: No histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis. Conclusions: We provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management. © 2023, The Author(s). (Less)
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type
Contribution to journal
publication status
published
subject
in
British Journal of Cancer
volume
128
pages
12 pages
publisher
Nature Publishing Group
external identifiers
  • scopus:85153204607
  • pmid:37076566
ISSN
0007-0920
DOI
10.1038/s41416-023-02263-5
language
English
LU publication?
yes
id
7906f097-85ce-49d0-8da4-0d04a57de1f7
date added to LUP
2023-11-09 13:57:19
date last changed
2023-11-10 03:00:03
@article{7906f097-85ce-49d0-8da4-0d04a57de1f7,
  abstract     = {{Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system. Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong). Results: No histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis. Conclusions: We provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management. © 2023, The Author(s).}},
  author       = {{O’Mahony, D.G. and Borg, A. and Chung, Wendy K}},
  issn         = {{0007-0920}},
  language     = {{eng}},
  pages        = {{2283--2294}},
  publisher    = {{Nature Publishing Group}},
  series       = {{British Journal of Cancer}},
  title        = {{Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2}},
  url          = {{http://dx.doi.org/10.1038/s41416-023-02263-5}},
  doi          = {{10.1038/s41416-023-02263-5}},
  volume       = {{128}},
  year         = {{2023}},
}