4.4 Article

Ovarian and Breast Cancer Risks Associated With Pathogenic Variants in RAD51C and RAD51D

Journal

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
Volume 112, Issue 12, Pages 1242-1250

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/jnci/djaa030

Keywords

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Funding

  1. Cancer Research UK [C12292/A20861, C1005/A12677, C490/A10119, C490/A10124, C490/A16561]
  2. NIHR Biomedical Research Centre at University College London Hospitals National Health Service Foundation Trust and University College London
  3. Cancer Research Society [OG-24377]
  4. Carlos III National Health Institute - FEDER funds a way to build Europe [PI16/11363]
  5. Spanish Instituto de Salud Carlos III - FEDER funds [PI19/00640]
  6. Centro de Investigacion en Red de Enfermedades Raras
  7. Spanish Health Research Foundation, Instituto de Salud Carlos III
  8. FEDER funds through Research Activity Intensification Program [INT15/00070, INT16/00154, INT17/00133]
  9. FEDER funds through Centro de Investigacion Biomedica en Red de Enferemdades Raras CIBERER [ACCI 2016: ER17P1AC7112/2018]
  10. Autonomous Government of Galicia [IN607B]
  11. Fundacion Mutua Madrilena
  12. European Union [634935]
  13. Spanish Instituto de Salud Carlos III, an initiative of the Spanish Ministry of economy and innovation - European regional development Feder Funds [PI15/00059]
  14. Canadian Institutes of Health Research Foundation Grant [FDN-148390]
  15. MRC [MR_UU_12023]
  16. European Union Seventh Framework Program (2007e2013)/European Research Council [310018]
  17. NIHR Cambridge Biomedical Research Centre
  18. National Cancer Institute, Bethesda, MD [R01-CA61107]
  19. Danish Cancer Society, Copenhagen, Denmark [94 222 52]
  20. Mermaid I project
  21. Capital Region of Denmark
  22. Research Council of Lithuania [SEN-16/2016]
  23. German Cancer Aid [110837, 70111850]
  24. National Institutes of Health (NIH) [R01 CA225662, P50 CA116201]
  25. Breast Cancer Research Foundation
  26. Cancer Research UK (Cambridge Cancer Centre)
  27. US National Institutes of Health [R01CA178535]
  28. Barth Family Chair in Cancer Genetics
  29. Helsinki University Hospital Research Fund
  30. Sigrid Juselius Foundation
  31. Cancer Foundation Finland
  32. Eve Appeal

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Background: The purpose of this study was to estimate precise age-specific tubo-ovarian carcinoma (TOC) and breast cancer (BC) risks for carriers of pathogenic variants in RAD51C and RAD51D. Methods: We analyzed data from 6178 families, 125 with pathogenic variants in RAD51C, and 6690 families, 60 with pathogenic variants in RAD51D. TOC and BC relative and cumulative risks were estimated using complex segregation analysis to model the cancer inheritance patterns in families while adjusting for the mode of ascertainment of each family. All statistical tests were two-sided. Results: Pathogenic variants in both RAD51C and RAD51D were associated with TOC (RAD51C: relative risk [RR] = 7.55, 95% confidence interval [CI] = 5.60 to 10.19; P = 5 x 10(-40); RAD51D: RR = 7.60, 95% CI = 5.61 to 10.30; P = 5 x 10(-39)) and BC (RAD51C: RR =1.99, 95% CI = 1.39 to 2.85; P = 1.55 x 10(-4); RAD51D: RR = 1.83, 95% CI = 1.24 to 2.72; P = .002). For both RAD51C and RAD51D, there was a suggestion that the TOC relative risks increased with age until around age 60 years and decreased thereafter. The estimated cumulative risks of developing TOC to age 80 years were 11% (95% CI = 6% to 21%) for RAD51C and 13% (95% CI = 7% to 23%) for RAD51D pathogenic variant carriers. The estimated cumulative risks of developing BC to 80 years were 21% (95% CI = 15% to 29%) for RAD51C and 20% (95% CI = 14% to 28%) for RAD51D pathogenic variant carriers. Both TOC and BC risks for RAD51C and RAD51D pathogenic variant carriers varied by cancer family history and could be as high as 32-36% for TOC, for carriers with two first-degree relatives diagnosed with TOC, or 44-46% for BC, for carriers with two first-degree relatives diagnosed with BC. Conclusions: These estimates will facilitate the genetic counseling of RAD51C and RAD51D pathogenic variant carriers and justify the incorporation of RAD51C and RAD51D into cancer risk prediction models.

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