Estimated net benefit of talazoparib (TALA) + enzalutamide (ENZA) for patients (Pts) with mCRPC using a Q-TWiST analysis.

N Neeraj Agarwal (Division of Medical Oncology Department of Internal Medicine Huntsman Cancer Institute University of Utah Salt Lake City Utah USA) X Xun Lin (Pfizer Inc., La Jolla, CA) P Paul Cislo (4Pfizer Inc, San Fancisco, United States) M Melissa Kirker (Pfizer Inc., New York, NY) H Hsuanyun Neo Su (Pfizer Inc., New York, NY) J Jane Chang (Pfizer Inc., New York, NY) C Christina Lau (Pfizer Inc., New York, NY) D David Cella

Abstract

194 Background: In TALAPRO-2, 1L TALA + ENZA showed significantly prolonged OS and rPFS vs placebo (PBO) + ENZA in pts unselected (cohort 1) and selected for homologous recombination repair gene alterations (HRRm cohort 2). Long-term safety and patient-reported outcomes (PRO) were reported previously (data cutoff: Sep 3, 2024). This post hoc analysis evaluated the longitudinal Q-TWiST benefit of TALA + ENZA vs PBO + ENZA in both cohorts by contextualizing the clinical benefit of extended life and delay in disease progression, accounting for impact on QoL due to toxicity and disease progression, and integrating them into a single value using TALAPRO-2 data. Methods: Using restricted mean survival time, mean OS was partitioned into time experiencing toxicity prior to progression (TOX), time without toxicity or symptoms of disease progression (TWiST), and time in state of disease progression assessed by blinded independent central review (REL). Utility value was calculated from individual EQ-5D-5L responses. A threshold analysis was conducted using a hypothetical range of values typically reported in similar analyses and a range of scores estimated from TALAPRO-2 data. Time in each health state was weighted by utilities then summed to estimate Q-TWiST. Mean between-treatment differences for each health state were calculated, and bootstrap methods used to estimate CIs for means and mean differences. Results: In both cohorts, time in TOX was slightly longer with TALA + ENZA vs PBO + ENZA while time spent in TWiST was much longer with TALA + ENZA (Table). In both cohorts, time in REL was shorter with TALA + ENZA (more time spent without progression) vs PBO + ENZA (Table). OS was numerically longer with TALA + ENZA vs PBO + ENZA for both cohorts (Table). Regardless of the range of utility values explored for each health state, Q-TWiST estimates for both cohorts were numerically longer for TALA + ENZA vs PBO + ENZA (mean differences ranged from 3.1 to 11.7 months). Conclusions: In TALAPRO-2, TALA + ENZA showed longer Q-TWiST vs PBO + ENZA, indicating a net benefit in unselected and HRRm mCRPC pts. Those receiving TALA + ENZA had a greater quality-adjusted time (shorter REL) because pts spent more time without progression in TALA + ENZA than PBO + ENZA. The resulting Q-TWiST benefit further supports use of 1L TALA + ENZA in unselected and HRRm selected mCRPC pts. Clinical trial information: NCT03395197 . Cohort 1 (Unselected) Cohort 2 (HRRm only) Mean (95% CI), months TALA + ENZA (n=402) PBO + ENZA (n=403) Mean difference TALA + ENZA (n=200) PBO + ENZA (n=199) Mean difference TOX 2.1 (1.6, 2.6) 1.4 (0.9, 1.9) 0.6 (-0.1, 1.3) 1.8 (1.3, 2.3) 0.6 (0.3, 0.9) 1.2 (0.6, 1.8) TWiST 34.0 (31.4, 36.6) 27.5 (24.8, 30.2) 6.5 (2.8, 10.3) 30.3 (27.2, 33.4) 19.8 (16.8, 22.7) 10.5 (6.2, 14.8) REL 7.0 (3.6, 10.4) 10.5 (7.0, 13.9) -3.4 (-8.3, 1.4) 8.2 (4.2, 12.3) 13.2 (9.3, 17.1) -5.0 (-10.6, 0.6) OS 43.1 (40.8, 45.3) 39.4 (37.1, 41.6) 3.7 (0.6, 6.9) 40.3 (37.7, 43.0) 33.6 (31.0, 36.2) 6.7 (3.0, 10.4)

Article Details

Volume / Issue Vol. 44, Issue 7_suppl
Published March 01, 2026
Pages 194-194
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (8)

N

Neeraj Agarwal

Division of Medical Oncology Department of Internal Medicine Huntsman Cancer Institute University of Utah Salt Lake City Utah USA

X

Xun Lin

Pfizer Inc., La Jolla, CA

P

Paul Cislo

4Pfizer Inc, San Fancisco, United States

M

Melissa Kirker

Pfizer Inc., New York, NY

H

Hsuanyun Neo Su

Pfizer Inc., New York, NY

J

Jane Chang

Pfizer Inc., New York, NY

C

Christina Lau

Pfizer Inc., New York, NY

D

David Cella