Efficacy of third-line and later (3L+) therapies post poly (ADP-ribose) polymerase inhibitor (PARPi) exposure in recurrent platinum-sensitive ovarian cancer (PSOC): A pooled clinical trial database analysis.

R Robert Louis Coleman (Texas Oncology, US Oncology Research, The Woodlands, TX) K Kayleen Ports (Medidata Solutions, New York, NY) V Vlad Gradinariu (Medidata Solutions, New York, NY) D Danielle Gerome (Medidata Solutions, New York, NY) M Mary Miao (AbbVie, Inc., North Chicago, IL) A Allicia Girvan (AbbVie, Inc., North Chicago, IL) J Junvie Pailden (AbbVie, Inc., North Chicago, IL) R Rajesh Kamalakar (7AbbVie Inc., North Chicago, United States) E Erin Zagadailov (AbbVie, Inc., North Chicago, IL) E Elisabeth Diver (AbbVie, Inc., North Chicago, IL) J James Joseph Stec (AbbVie, Inc., North Chicago, IL) R Rahul Jain (Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), Mohali 160062, India)

Abstract

5579 Background: Patients (pts) with PSOC often experience reduced efficacy and tolerability with each successive treatment (tx). While PARPi therapies have demonstrated clinical benefit in frontline and maintenance settings, most pts eventually experience progression of disease (PD) with limited tx options. Data establishing standard of care for PSOC was published prior to the PARPi era. This study evaluated the efficacy of tx in PSOC subsequent to PARPi exposure. Methods: Pooled pt-level data from <5 multinational clinical trials (CT) involving PARPi tx were sourced from the Medidata Clinical Cloud and included pts with PSOC diagnosis, ≥2 prior lines of platinum-based chemotherapy (PBC), most recent platinum-free interval (PFI) ≥6 months (mo), prior PARPi tx, initiation of tx subsequent to PARPi (defined as the index tx), and ECOG Performance Status (PS) ≤1 prior to the index tx. Index date was defined as the initiation of index tx. Outcomes included overall response rate (ORR), progression-free survival (PFS), and overall survival (OS). PFS was defined as the time from the index date to PD, death or start of new tx; pts with no PFS event were censored at the end of follow-up. PFS and OS were estimated using the Kaplan-Meier method and compared across subgroups with the log-rank test. Exploratory subgroup analyses of PFS and OS were conducted per factors identified in multivariable Cox models. Results: Among 130 pts (≥65 years, 36.9%; White, 87.7%; FIGO Stage III/IV, 89.2%; ECOG PS 0/1, 59.2%/40.8%; ≥3 prior lines of PBC, 23.8% [range, 2-5]; PFI ≥12 mo, 61.5%), the median duration of PARPi use was 13.24 mo (IQR, 9.22), and 96.9% experienced PD ≤106 days from PARPi discontinuation. Index tx included PBC (74.6%) and non-PBC (25.4%); 61.5% received combination tx. Median duration of index tx was 4.01 mo (95% CI, 3.71-4.93). ORR on index tx was 16.9% (95% CI, 10.9-24.5). Median PFS was 6.11 mo (95% CI, 5.06-7.39), with longer PFS in pts with PFI ≥12 mo vs 6 to <12 mo (7.39 mo [95% CI, 6.08-8.77] vs 4.44 mo [3.25-6.14]; P =0.002) and in pts with combination therapy vs monotherapy index tx (7.39 mo [95% CI, 6.21-8.61] vs 3.71 mo [95% CI, 3.12-5.75]; P =0.026). Median OS was 19.35 mo (95% CI, 17.77-22.08), with longer OS in pts with PFI ≥12 mo vs 6 to <12 mo (23.03 mo [95% CI, 19.29-33.81] vs 15.08 mo [95% CI, 11.89-19.68]; P <0.0001). PFS and OS were similar in PBC vs non-PBC as index tx. Conclusions: Median PFS with 3L+ tx for PSOC following PARPi exposure was 6.11 mo, establishing an efficacy benchmark for tx subsequent to PARPi exposure in this unique pt population and highlighting the need for more effective tx. Due to the lack of regular per-protocol imaging assessments after the start of non-trial tx, PFS values may be overestimated. However, pooled CT data with long-term follow-up provide valuable insights not available from other sources.

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 5579-5579
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (12)

R

Robert Louis Coleman

Texas Oncology, US Oncology Research, The Woodlands, TX

K

Kayleen Ports

Medidata Solutions, New York, NY

V

Vlad Gradinariu

Medidata Solutions, New York, NY

D

Danielle Gerome

Medidata Solutions, New York, NY

M

Mary Miao

AbbVie, Inc., North Chicago, IL

A

Allicia Girvan

AbbVie, Inc., North Chicago, IL

J

Junvie Pailden

AbbVie, Inc., North Chicago, IL

R

Rajesh Kamalakar

7AbbVie Inc., North Chicago, United States

E

Erin Zagadailov

AbbVie, Inc., North Chicago, IL

E

Elisabeth Diver

AbbVie, Inc., North Chicago, IL

J

James Joseph Stec

AbbVie, Inc., North Chicago, IL

R

Rahul Jain

Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar (Mohali), Mohali 160062, India