Abstract
Objective. Niraparib is a poly(ADP-ribose) polymerase (PARP) inhibitor approved for use in heavily pretreated patients and as maintenance treatment in patients with newly-diagnosed or recurrent ovarian cancer following are sponse to platinum-based chemotherapy. We present long-term safety data for niraparib from the ENGOT-OV16/NOVA trial. Methods. This multicenter, double-blind, randomized, controlled phase III trial evaluated the efficacy and safety of niraparib for the treatment of recurrent ovarian cancer. Patients were randomly assigned 2:1 to receive either oncedaily niraparib 300 mg or placebo. Two independent cohorts were enrolled based on germline BRCA mutation status. The primary endpoint was progression-free survival, reported previously. Long-term safety data were from the most recent data cutoff (September 2017). Results. Overall, 367 patients received niraparib 300 mg once daily. Dose reductions due to TEAEs were highest in month 1 (34%) and declined every month thereafter. Incidence of any-grade and grade >= 3 hematologic and symptomatic TEAEs was also highest in month 1 and subsequently declined. Incidence of grade >= 3 thrombocytopenia decreased from 28% (month 1) to 9% and 5% (months 2 and 3, respectively), with protocol-directed dose interruptions and/or reductions. Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) were reported in 2 and 6 niraparib-treated patients, respectively, and in 1 placebo patient each. Treatment discontinuations due to TEAEs were <5% in each month and time interval measured. Conclusion. These data demonstrate the importance of appropriate dose reduction according to toxicity criteria and support the safe long-term use of niraparib for maintenance treatment in patients with recurrent ovarian cancer. (C) 2020 The Authors. Published by Elsevier Inc.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0090-8258 |
Sprache: | Englisch |
Dokumenten ID: | 87744 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:25 |
Letzte Änderungen: | 25. Jan. 2022, 09:25 |