Study type

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)
Safety study (incl. comparative)
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

TALZENNA
XTANDI

Study drug International non-proprietary name (INN) or common name

ENZALUTAMIDE
TALAZOPARIB

Anatomical Therapeutic Chemical (ATC) code

(L01XK04) talazoparib
talazoparib
(L02BB04) enzalutamide
enzalutamide

Medical condition to be studied

Hormone-refractory prostate cancer
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

150
Study design details

Main study objective

To characterize the effectiveness and safety profile of talezoparib and enzalutamide To describe supportive care measures, healthcare utilization, and physician management in relation to safety outcomes To evaluate quality-of-life (QoL) To capture the next anti-cancer treatment after discontinuation of talazoparib and enzalutamide

Outcomes

Outcomes of interest: Effectiveness: real-world progression free survival (rwPFS), second real-world progression-free survival (rwPFS-2), real-world overall survival (rwOS), PSA response, PSA doubling time, real-world objective response rate (rwRR), and real-world time to next treatment (rwTTNT) Safety: safety events of interest Healthcare resource use

Data analysis plan

The characteristics captured during baseline assessment and follow up will be summarized using descriptive statistics. To evaluate the safety of talazoparib and enzalutamide, AEs and SAEs will be characterized by type, grade, timing, and seriousness. Cumulative incidence will be calculated as appropriate and will be further described in the SAP. For the effectiveness outcomes of interest, rwPFS2, rwPFS, and rwOS (time to event outcomes) will be evaluated using Kaplan-Meier (KM) methods. KM curves will be illustrated and the median survival and corresponding 95% confidence interval (95% CI) will be computed. Subgroup analyses may be conducted by HRRm status, prior treatment lines (NHTs, taxane, etc.), age, race/ethnicity, year of enrollment, enrollment country, and other key subgroups pending sufficient sample size.