Publicaciones científicas

Association of Multiple High-Risk Factors on Observed Outcomes in Real-World Patients With Advanced Ovarian Cancer Treated With First-Line Therapy

01-jun-2023 | Revista: JCO Clinical Cancer Informatics

Dana Chase  1   2 , Jessica Perhanidis  3 , Divya Gupta  3   4 , Linda Kalilani  5 , Amanda Golembesky  5 , Antonio González-Martín  6   7

Purpose: To identify risk factors for disease progression or death and assess outcomes by risk categories in real-world patients with advanced ovarian cancer.

Methods: This retrospective study included adult patients from a nationwide electronic health record-derived deidentified database with stage III/IV ovarian cancer who received first-line therapy and had ≥12 weeks of follow-up after index date (end of first-line therapy). Factors predictive of time to next treatment and overall survival (OS) were assessed. Patients were grouped according to the cumulative number of high-risk factors present (stage IV disease, no debulking surgery or neoadjuvant therapy and interval debulking surgery, visible residual disease after surgery, and breast cancer gene [BRCA] wild-type disease/unknown BRCA status), and time to next treatment and OS were assessed.

Results: Region of residence, disease stage, histology, BRCA status, surgery modality, and visible residual disease were significant predictors of time to next treatment; age, Eastern Cooperative Oncology Group performance status, disease stage, BRCA status, surgery modality, visible residual disease, and platelet levels were significant predictors of OS (N = 1,920). Overall, 96.4%, 74.1%, and 40.3% of patients had at least 1, 2, or 3 high-risk factors, respectively; 15.7% of patients had all four high-risk factors. Observed median time to next treatment was 26.4 months (95% CI, 17.1 to 49.2) in patients with no high-risk factors and 4.6 months (95% CI, 4.1 to 5.7) in patients with four high-risk factors. Observed median OS was shorter among patients with more high-risk factors.

Conclusion: These results underscore the complexity of risk assessment and demonstrate the importance of assessing a patient's cumulative risk profile rather than the impact of individual high-risk factors. They also highlight the potential for bias in cross-trial comparisons of median progression-free survival because of differences in risk-factor distribution among patient populations.

CITA DEL ARTÍCULO  JCO Clin Cancer Inform. 2023 Jun:7:e2200189.  doi: 10.1200/CCI.22.00189