Mainstreaming in parallel with ovarian cancer tumor testing to improve genetic testing uptake Journal Article


Authors: Byrne, M.; Sia, T. Y.; Fong, C.; Khurram, A.; Waters, M.; Kemel, Y. M.; Zhou, Q.; Ranganathan, M.; Long Roche, K.; Chi, D. S.; Saban, S.; Wu, M.; Varice, N.; Hamilton, J. G.; Carrot-Zhang, J.; Abu-Rustum, N. R.; Iasonos, A.; Ellenson, L. H.; Mandelker, D.; Weigelt, B.; Brown, C. L.; Aghajanian, C.; Stadler, Z.; Liu, Y. L.
Article Title: Mainstreaming in parallel with ovarian cancer tumor testing to improve genetic testing uptake
Abstract: Objectives: Although genetic testing (GT) is universally recommended for patients with epithelial ovarian cancer (EOC), rates are low (34%). In 1/2019, we implemented mainstreaming—GT in parallel with tumor testing via MSK-IMPACT within oncology clinics. We sought to determine GT rates pre/post-mainstreaming and patient characteristics associated with GT. Methods: Patients with newly diagnosed EOC seen at our institution from 7/1/2015–3/31/2022 were included. Clinical data were abstracted including social determinants of health (SDOH) variables, race/ethnicity, marital status, insurance, language, comorbidities, employment, and Yost index, a measure of socioeconomic status. GT rates were calculated overall and pre−/post-mainstreaming (1/2019). Logistic regression models were fit to identify variables associated with GT. Results: Of 1742 patients with EOC, 1591 (91%) underwent GT. Rates of GT increased from 87% to 95% after mainstreaming (p < 0.001). Among 151 patients not undergoing GT, major reasons were lack of provider recommendation (n = 76, 50%) and logistical issues (n = 38, 25%) with few declining (n = 14, 9%) or having medical complications preventing GT (n = 7, 4.6%). High-grade serous histology, advanced stage (III/IV), and having a spouse/partner were associated with increased GT uptake (p < 0.01). Among SDOH variables, there were no differences by insurance, Yost score, language, comorbidities, employment, or race/ethnicity. In multivariable models, likelihood of GT increased with mainstreaming, even after adjustment for histology, stage, and marital status (OR 3.77; 95% CI: 2.56–5.66). Conclusions: Mainstreaming increased the likelihood of GT in patients with EOC. We found lower testing rates in patients without partners/spouses, non–high-grade serous histology, and early-stage disease, representing potential areas for future interventions. © 2024 Elsevier Inc.
Keywords: adult; controlled study; aged; middle aged; major clinical study; genetics; clinical feature; histopathology; cancer staging; ovarian cancer; ovarian neoplasms; cohort analysis; pathology; oncology; social status; health insurance; medicaid; medicare; clinical study; ovary tumor; diagnosis; clinical evaluation; comorbidity; ovary carcinoma; marriage; genetic screening; race difference; patient attitude; ethnic group; patient acceptance of health care; genetic testing; health disparity; genetic counseling; language ability; employment; procedures; medical genetics; health disparities; cancer test; humans; human; female; article; social determinants of health; carcinoma, ovarian epithelial; divorced person; widowed person; regression model; mainstreaming; yost index
Journal Title: Gynecologic Oncology
Volume: 183
ISSN: 0090-8258
Publisher: Elsevier Inc.  
Date Published: 2024-04-01
Start Page: 126
End Page: 132
Language: English
DOI: 10.1016/j.ygyno.2024.03.005
PUBMED: 38493020
PROVIDER: scopus
PMCID: PMC11153006
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Ying Liu -- Source: Scopus
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MSK Authors
  1. Carol Brown
    167 Brown
  2. Dennis S Chi
    707 Chi
  3. Zsofia Kinga Stadler
    391 Stadler
  4. Qin Zhou
    254 Zhou
  5. Alexia Elia Iasonos
    363 Iasonos
  6. Yelena Kemel
    103 Kemel
  7. Britta Weigelt
    633 Weigelt
  8. Jada Gabrielle Hamilton
    111 Hamilton
  9. Diana Lauren Mandelker
    178 Mandelker
  10. Ying Liu
    105 Liu
  11. Maureen Byrne
    14 Byrne
  12. Christopher Joseph Fong
    42 Fong
  13. Sally Saban
    13 Saban
  14. Michelle Wu
    24 Wu
  15. Aliya Khurram
    22 Khurram
  16. Lora Hedrick Ellenson
    109 Ellenson
  17. Tiffany Yilan Sia
    30 Sia
  18. Michele Waters
    10 Waters
  19. Nancy Varice
    7 Varice