Germline pathogenic variants and genetic counseling by ancestry in patients with epithelial ovarian cancer Journal Article


Authors: Sia, T. Y.; Maio, A.; Kemel, Y. M.; Arora, K. S.; Gordhandas, S. B.; Kahn, R. M.; Salo-Mullen, E. E.; Sheehan, M. A.; Tejada, P. R.; Bandlamudi, C.; Zhou, Q.; Iasonos, A.; Grisham, R. N.; O'Cearbhaill, R. E.; Tew, W. P.; Long Roche, K.; Zivanovic, O.; Sonoda, Y.; Gardner, G. J.; Chi, D. S.; Latham, A. J.; Carlo, M. I.; Murciano-Goroff, Y. R.; Will, M.; Walsh, M. F.; Robson, M. E.; Mandelker, D. L.; Berger, M. F.; Abu-Rustum, N. R.; Brown, C. L.; Offit, K.; Hamilton, J. G.; Aghajanian, C.; Weigelt, B.; Stadler, Z. K.; Liu, Y. L.
Article Title: Germline pathogenic variants and genetic counseling by ancestry in patients with epithelial ovarian cancer
Abstract: PURPOSE To evaluate rates of germline pathogenic/likely pathogenic variants (PVs) and genetic counseling by ancestry in patients with epithelial ovarian cancer (EOC). METHODS Patients with pathologically confirmed EOC who underwent clinical tumor-normal sequencing from January 1, 2015, to December 31, 2020, inclusive of germline analysis of >= 76 genes were included. Patients with newly identified PVs were referred for Clinical Genetics Service (CGS) counseling. Ancestry groups were defined using self-reported race/ethnicity and Ashkenazi Jewish (AJ) heritage. Genetic ancestry was inferred computationally using validated algorithms. Logistic regression models were built. RESULTS Of 1,266 patients, self-reported ancestry (AJ, 17%; Asian, 10%; Black/African American, 5.4%; Hispanic, 6.2%; non-Hispanic White, 57%; other, 0.16%; unknown, 4.0%) correlated with genetic ancestry (AJ ancestry, 18%; admixed, 10%; African, 4%; East Asian [EAS], 6%; European, 56%; Native American, 0.2%; South Asian [SAS], 4%; unknown, 2%). Germline PVs were observed in 313 (25%) patients, including 195 (15%) with PVs in EOC-associated genes. Those with PVs were younger at diagnosis (59 v 62 years; P < .001) and more likely to have high-grade serous ovarian cancer (83% v 72%; P = .009). PV prevalence varied between ancestry groups (P < .001), with highest rates in the AJ (39.9%) and Asian (26.5%) groups and similar rates (>10%) across other ancestry groups. Use of genetic ancestry demonstrated similar findings and further characterized high rates of PV in EAS/SAS groups. Younger age, high-grade serous histology, and self-reported AJ or Asian ancestry were associated with PV in an EOC-associated gene. Rates of CGS counseling for newly identified PVs were high (80%) across ancestry groups. CONCLUSION Rates of PV, particularly in EOC-associated genes, were high regardless of ancestry, with similar rates of counseling between groups, emphasizing the importance of universal genetic testing in all patients with EOC.
Keywords: prevalence; risk; tumor; breast-cancer; women; guideline; brca2 mutations; fallopian-tube; american-college; medical genetics
Journal Title: JCO Precision Oncology
Volume: 7
ISSN: 2473-4284
Publisher: American Society of Clinical Oncology  
Date Published: 2023-09-01
Start Page: e2300137
Language: English
ACCESSION: WOS:001197689200039
DOI: 10.1200/po.23.00137
PROVIDER: wos
PMCID: PMC10861001
PUBMED: 37738546
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Ying L. Liu -- Author Margaret Sheehan's name is listed with a different middle initial on the original publication -- Source: Wos
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MSK Authors
  1. Ginger J Gardner
    270 Gardner
  2. Kenneth Offit
    788 Offit
  3. Carol Brown
    167 Brown
  4. Dennis S Chi
    707 Chi
  5. Mark E Robson
    676 Robson
  6. Yukio Sonoda
    472 Sonoda
  7. Oliver Zivanovic
    291 Zivanovic
  8. Zsofia Kinga Stadler
    391 Stadler
  9. Qin Zhou
    254 Zhou
  10. Alexia Elia Iasonos
    363 Iasonos
  11. Rachel Nicole Grisham
    170 Grisham
  12. William P Tew
    245 Tew
  13. Michael Forman Berger
    765 Berger
  14. Yelena Kemel
    103 Kemel
  15. Maria Isabel Carlo
    162 Carlo
  16. Britta Weigelt
    633 Weigelt
  17. Marie Elizabeth Will
    13 Will
  18. Jada Gabrielle Hamilton
    111 Hamilton
  19. Margaret Rebecca Graham Sheehan
    45 Sheehan
  20. Michael Francis Walsh
    156 Walsh
  21. Diana Lauren Mandelker
    178 Mandelker
  22. Ying Liu
    105 Liu
  23. Alicia Latham
    59 Latham
  24. Anna Maio
    35 Maio
  25. Prince Rainier Tejada
    8 Tejada
  26. Kanika Suresh Arora
    27 Arora
  27. Ryan Matthew Kahn
    41 Kahn
  28. Tiffany Yilan Sia
    30 Sia