Abstract
ObjectiveTo determine the potential prognostic value of clinical and molecular biomarkers in the survival of patients with platinum-resistant ovarian cancer treated with olaparib and pegylated liposomal doxorubicin.MethodsROLANDO was a single-arm phase II trial that included patients with high-grade serous or endometrioid tumors and at least one previous platinum-resistant recurrence regardless ofBRCAstatus. Patients received 6 cycles of pegylated liposomal doxorubicin every 28 days plus olaparib 300 mg twice daily. followed by olaparib 300 mg twice daily; monotherapy until progression or unacceptable toxicity. Prognostic factors including previous lines (and platinum-containing ones),BRCAmutation status, previous bevacizumab, CA-125 levels, and the neutrophil/lymphocyte ratio, lymphocyte/monocyte ratio, and platelet/lymphocyte ratio calculated at inclusion were analyzed through a multivariate logistic regression and factor analysis of mixed data.ResultsThirty-one patients were included. Median age was 57 years (range 43–75), Eastern Cooperative Oncolgy Group performance status 0/1: 32.3%/67.7% andBRCAmutated: 16.1%. Prior treatment lines were >2 lines: 14 (45.2%) patients, ≥2 platinum lines: 21 patients (67.7%) and previous bevacizumab 19 (61.3%) patients. CA-125 was >2 upper limit normal in 24 (77.4%) patients. A high neutrophil/lymphocyte ratio was associated with worse overall survival by univariate/multivariate regression model (HR=11.18; 95% CI 1.1 to 114.5; p=0.042). No other factors were associated with overall survival in the multivariate model. A multifactorial signature based on clinical and molecular baseline characteristics was capable of defining six patient clusters. Three of these clusters had significantly better prognosis, with a median overall survival of 21.3 months (95% CI 12.2 to not reached).ConclusionsHigh neutrophil/lymphocyte ratio at platinum-resistant relapse indicated poor prognosis in patients treated with olaparib plus pegylated liposomal doxorubicin. A multifactorial clinical signature was more precise than single variables for implying the prognosis and may help in therapeutic assignment after further validation in large prospective cohorts.
Subject
Obstetrics and Gynecology,Oncology
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1 articles.
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