Predictors of Long-Term Survival among High-Grade Serous Ovarian Cancer Patients

Background: Relatively little is known about factors associated with long-term survival (LTS) following a diagnosis of ovarian cancer. Methods: We conducted a retrospective study of high-grade serous ovarian cancer (HGSOC) to explore predictors of LTS (defined as >= 7 years of survival) using electronic medical record data from a network of integrated health care systems. Multivariable logistic regression with forward selection was used to compare characteristics of women who survived >= 7 years after diagnosis (n = 148) to those who died within 7 years of diagnosis (n = 494). Results: Our final model included study site, age, stage at diagnosis, CA-125, comorbidity score, receipt of chemotherapy, BMI, and four separate comorbid conditions: weight loss, depression, hypothyroidism, and liver disease. Of these, only younger age, lower stage, and depression were statistically significantly associated with LTS. Conclusions: We did not identify any new characteristics associated with HGSOC survival. Impact: Prognosis of ovarian cancer generally remains poor. Large, pooled studies of ovarian cancer are needed to identify characteristics that may improve survival.