Exposure-Safety Analyses of Talazoparib in Combination with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer (mCRPC) in the TALAPRO-2 Trial

Exposure-Safety Analyses of Talazoparib in Combination with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer (mCRPC) in the TALAPRO-2 Trial | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exposure-Safety Analyses of Talazoparib in Combination with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer (mCRPC) in the TALAPRO-2 Trial Yibo Wang, Mark Hadigol, Victor Ruberio Lincha, Justin Hoffman, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6915587/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract The TALAPRO-2 trial (NCT03395197) showed that the addition of talazoparib, a potent PARP inhibitor, to enzalutamide significantly improved radiographic progression-free survival in patients with mCRPC. Due to adverse events (AEs), approximately 62% of patients experienced dose interruption and 53% of patients experienced dose reduction of talazoparib in TALAPRO-2 trial. Hematologic AEs such as anemia, thrombocytopenia, and neutropenia were the most common AEs leading to dose interruptions or reductions. We investigated the relationship between talazoparib exposure as well as baseline patients/disease characteristics and Grade ≥ 3 anemia, thrombocytopenia, and neutropenia using graphical examination and Cox proportional hazard models. The results indicated that higher talazoparib exposure, C avg,t , was associated with a higher risk of Grade ≥ 3 anemia, thrombocytopenia, and neutropenia. Additionally, among the other baseline factors, we observed that higher risk of all tested safety endpoints was associated with lower baseline hemoglobin. In addition, higher risk of anemia was associated with lower baseline body weight and higher baseline lactate dehydrogenase. Higher risk of neutropenia was associated with lower baseline absolute neutrophil count and lower baseline body weight. These findings support the proposed dose modification algorithm as an effective approach for management of AEs. talazoparib mCRPC exposure metrics exposure-response time-varying exposure Figures Figure 1 Figure 2 Figure 3 Introduction Over the past decade, approvals of new treatments have improved outcomes for patients with metastatic castration-resistant prostate cancer (mCRPC) 1 but the disease remains aggressive and progression is inevitable highlighting the need for novel therapeutic options 2, 3 . Alterations in DNA damage response genes involved directly or indirectly in homologous recombination repair (HRR), including BRCA1 and BRCA2 4, 5 can sensitize tumors to treatment with poly(ADP-ribose) polymerase (PARP) inhibitors 6, 7 . Preclinical data suggest an interplay between the androgen receptor (AR) and PARP, providing a rationale for their co-inhibition 8 . AR inhibition upregulates PARP activity and downregulates HRR gene expression 9 , while PARP inhibition suppresses androgen receptor transcriptional activity and might help postponing progression 10, 11 . Talazoparib, a potent PARP inhibitor, was initially approved as a single agent at a dose of 1 mg once daily globally for the treatment of patients with deleterious or suspected deleterious germline BRCA-mutated human epidermal receptor 2 (HER2)-negative locally advanced/metastatic breast cancer and more recently was approved in combination with enzalutamide for the treatment of adult patients with HRR gene-mutated metastatic castration-resistant prostate cancer (mCRPC). In the single arm phase 2 TALAPRO-1 study, talazoparib monotherapy administered at 1 mg/day had shown durable anti-tumor activity and a favorable benefit–risk profile in patients with heavily pretreated mCRPC with HRR deficiency 12 . The approval of talazoparib in combination with enzalutamide in first line mCRPC is based on the phase 3 TALAPRO-2 trial. TALAPRO-2 included two patient cohorts: an unselected all-comers cohort (Cohort 1) and a molecularly selected homologous recombination repair (HRR) gene deficient cohort (Cohort 2) with DNA damage response alterations in at least one out of a panel of 12 genes directly or indirectly involved in HRR 13, 14 . In vitro , talazoparib is a substrate of P-glycoprotein (P-gp) and breast cancer-resistant protein (BCRP) transporters and coadministration of P-gp inhibitors increased talazoparib exposures by 45% 15 . The recommended dose of talazoparib in combination with enzalutamide is 0.5 mg once daily with further dose modifications allowed to manage AEs. This dose was selected with consideration for the impact of enzalutamide and the N-desmethyl metabolite of enzalutamide (both are P-gp inhibitors) on talazoparib pharmacokinetics (PK). Following oral administration of 1 mg once daily talazoparib in combination with enzalutamide 160 mg once daily, talazoparib exposures were higher than previously reported at the same dose levels with talazoparib monotherapy, indicating that coadministration of enzalutamide increased talazoparib exposures. The time to steady state of talazoparib was also prolonged from approximately 3 weeks to 9 weeks when administered in combination with enzalutamide compared to talazoparib monotherapy, reflective of the drug-drug interaction (DDI) effect of enzalutamide and N-desmethyl enzalutamide on talazoparib PK and consistent with the half-life of N-desmethyl enzalutamide (7.8 to 8.6 days). Enzalutamide and N-desmethyl enzalutamide exposures were generally consistent with previously reported values at the same dose level with enzalutamide monotherapy. A talazoparib start dose of 0.5 mg daily in combination with enzalutamide was selected for patients with normal or mild renal impairment as it generates similar talazoparib exposure levels to the recommended monotherapy dose of 1 mg daily. A talazoparib starting dose of 0.35 mg daily in combination with 160 mg daily dose of enzalutamide was selected for participants with moderate renal impairment. This reduced starting dose of talazoparib for moderate renal impairment participants was sufficient to approximately match talazoparib exposure achieved by the participants with normal renal function and mild renal impairment. The efficacy and safety of 0.5 mg (normal or mild renal impairment) or 0.35 mg (moderate renal impairment) daily talazoparib doses in combination with enzalutamide 160 mg daily was established in patients with mCRPC in the phase 3 portion of TALAPRO-2 trial. 14 TALAPRO-2 showed that the combination of talazoparib with enzalutamide significantly improved radiographic progression-free survival by blinded independent central review compared with placebo plus enzalutamide among patients with mCRPC in both, an unselected all-comers cohort (hazard ratio [HR] = 0.63; 95% CI, 0.51–0.78; P < 0.0001), and a molecularly selected homologous recombination repair (HRR) gene deficient cohort (HR = 0.45; 95% CI, 0.33–0.61; P < 0.0001) 16 . The most common adverse events (AEs) in the talazoparib group (≥ 30% of patients) were anemia, neutropenia, and fatigue. The most common grade 3–4 adverse events (≥ 10% of patients) were anemia (185 [46%] of 398) and neutropenia (73 [18%] of 398) in the talazoparib group, with dose reduction and dose interruption allowed to manage toxicity. 62% of patients in the talazoparib plus enzalutamide arm of the all-comers cohort experienced dose interruption, and 53% of patients experienced dose reduction of talazoparib (58% dose interruption and 52% dose reduction in the HRR-deficient cohort), due to an adverse event (AE) 14 . Understanding the relationship between talazoparib exposure and response is critical to support the benefit-risk profile of talazoparib dosing recommendations and dose modification guidelines to manage AEs. The objectives of the analyses reported here were to characterize the relationship between talazoparib exposure and grade ≥ 3 anemia, neutropenia, and thrombocytopenia in patients with mCRPC regardless of HRR gene alteration status and to identify potential prognostic factors for the selected safety endpoints. Methods Study Design TALAPRO-2 (NCT03395197) is a multinational, Phase 3, two-part study evaluating talazoparib in combination with the androgen receptor inhibitor enzalutamide as a first-line treatment in patients with mCRPC 13 . The protocol was approved by an independent ethics committee and all patients provided written informed consent. The study was conducted in accordance with the principles of the Declaration of Helsinki, using Good Clinical Practice according to the International Council for Harmonisation Tripartite Guidelines. A schematic of the TALAPRO-2 trial is shown in Supplemental Figure S1 . An initial, non-randomized, open-label run-in period (Part 1, N = 19) was conducted to inform the selection of a talazoparib dose of 0.5 mg daily in combination with 160 mg daily enzalutamide (0.35 mg daily talazoparib for patients with moderate renal impairment). In Part 1, patients received either 1 mg or 0.5 mg talazoparib in combination with enzalutamide 160 mg daily. Part 2 was randomized, double-blind, placebo controlled, and evaluated the efficacy and safety of talazoparib in combination with enzalutamide compared with placebo in combination with enzalutamide. In Part 2, talazoparib was dosed at 0.5 mg orally once daily (or 0.35 mg daily for patients with moderate renal impairment) with or without food in combination with enzalutamide 160 mg once daily, and dose modifications were allowed to manage AEs. Thresholds for dose reductions were protocol defined, and reductions went from 0.5 mg to 0.35 mg to 0.25 mg to 0.1 mg once daily. Once the all-comers enrollment was complete, further enrolment was restricted to patients with HRR gene alterations (Cohort 2). Treatment continued until radiographic progression by blinded independent central review, unacceptable toxicity, or withdrawal of consent. Study Assessment In Part 1, PK samples were collected at pre-dose, 1, 2, 4, 6, and 24 hours post-dose at Day 1 (Week 1) and Week 9. Additionally, PK samples were collected at pre-dose and 2 hours post-dose at Week 5 and pre-dose at Weeks 13 and 17. In Part 2, PK samples were collected at pre-dose and 2 hours post-dose at Weeks 3, 5, and 9, and pre-dose at Weeks 13 and 17. PK data were analyzed using a population PK approach 17 . Safety and tolerability were evaluated by assessment of AEs, physical examinations, vital signs, and laboratory evaluations. AE data were coded using the Medical Dictionary for Regulatory Activities version 20.0, and AEs and laboratory parameters were graded for severity using the Common Terminology Criteria for Adverse Events (CTCAE) version 4.03. The period for treatment-emergent AEs was defined as the period from the first dose of study drug through 30 days after the date of the last dose of study drug or the day before initiation of a new antineoplastic treatment, whichever occurred first. Selected safety endpoints based on investigator reported TEAEs include the time of the 1st incidence of Grade 3 or higher anemia (hemoglobin < 8.0 g/dL), Grade 3 or higher thrombocytopenia (platelet count < 50000/mm 3 ), and Grade 3 or higher neutropenia (neutrophil count < 1000/mm 3 ). Talazoparib Exposure Metric To account for changes in talazoparib exposure over time due to dose modifications and effect of enzalutamide and its n-desmethyl metabolite on talazoparib exposure over time, time-varying average talazoparib concentration values (C avg,t ) were used in the analysis. The area under concentration time curve up to the time when each safety event occurred in the study (AUC,t) were calculated for each patient. This was enabled by generating the individual concentration time profiles using posthoc parameter estimates obtained from population PK analysis (ref) for each patient and calculating AUC,t as: $$\:\frac{\text{d}\text{A}\text{U}\text{C},\text{t}}{\text{d}\text{t}}=\text{C}$$ where C is talazoparib concentration. Then C avg,t was calculated as follows: $$\:\text{C}\text{a}\text{v}\text{g},\text{t}=\:\frac{\text{A}\text{U}\text{C},\text{t}}{\text{t}}$$ Except for the patients whose event occurred first among all patients, all other patients had multiple C avg,t values, one at each distinct safety event time in the analysis population. Other Prognostic Covariates Tested for Association with the Selected Safety Endpoints In addition to talazoparib exposure metrics, the tested potential covariates for safety endpoint analyses in the univariate analyses were preselected and included the following 4 categories: • Demographics: Age, baseline body weight (BWT), Race (Asian vs Non-Asian). • Baseline performance status: Eastern Cooperative Oncology Group (ECOG). • Baseline laboratory test values: baseline albumin (BALB), baseline alkaline phosphatase (BALK), baseline alanine aminotransferase (BALT), baseline aspartate aminotransferase (BAST), baseline bilirubin (BBIL), baseline lactate dehydrogenase (BLDH), baseline lymphocytes (BLYM), baseline hemoglobin (BHGB), baseline platelet count (BPLT), and baseline absolute neutrophil counts (BANC). • Prior therapy: prior radiotherapy (PR RADIO), Prior second-generation Androgen Receptor Pathway Inhibitor (ARPI). Visual Examination An exploratory exposure-response (ER) evaluation was first conducted using a plot comparing C avg,t values in patients with safety events to those without events at each time point when the events occurred. This is to examine whether there was a trend for patients with events to have a relatively lower or higher exposure compared with those without events. Cox Proportional Hazard Model The Cox proportional hazard (PH) model was used to quantify the effects of talazoparib exposure (C avg,t ) and other baseline covariates on safety endpoints. The model is described below: $$\:h\left(t\right)={h}_{0}\left(t\right)\times\:{\text{exp}}^{({\theta\:\:}\times\:{cov})}$$ Where h(t) is the hazard rate at time t, h 0 (t) represents the background hazard rate, \(\:\theta\:\) is the coefficient quantifying the effect of covariate on hazard, Cov is the value of covariate of interest. A univariate Cox regression analysis was conducted to screen for potential covariates and significant covariates were simultaneously included in a multivariate analysis. Talazoparib exposure measure C avg,t was retained in each step of multivariate analyses as exposure/response relationship is the main focus of the evaluation. In addition, Chinese vs non-Chinese patients (code as "CNPT) was added to the covariates in the multivariate analysis to assess the correlation between selected safety endpoints and Chinese vs non-Chinese patients to support the regulatory submission in China. The insignificant covariates (p-value > 0.05) were removed in each step while the exposure metrics were to be carried forward, until all the covariates included in the multivariate analysis other than the exposure metrics were all significant (p < 0.05). If the exposure metrics were significant, this model was considered as final model; otherwise, another stepwise multivariate analysis was to be performed with all the significant covariates adding the exposure metrics. If the exposure metrics in this multivariate analysis is significant, this model was considered as the final model; if not, it should be removed to obtain the final model. Modeling Software The exposure-response (E-R) analyses were performed using R software version 4.1.1 (R Foundation for Statistical Computing, Vienna, Austria). For model evaluation, the proportional hazard assumption was tested based on the scaled Schoenfeld residuals using the cox.zph function included in the survival package in R. Results Patient Demographics and Observed Data Data for selected safety endpoints were available from a total of 417 patients in the talazoparib + enzalutamide arm from the TALAPRO-2 trial. Among those 417 patients 2 patients received only enzalutamide and did not receive talazoparib. Three (3) patients had missing talazoparib exposure. The above mentioned 5 patients were not included in the ER safety analysis, leaving 412 patients (399 patients received 0.5 mg talazoparib; 13 received 1 mg talazoparib), who were included in the ER safety analysis. The baseline characteristics for all patients included in the ER analyses are summarized in Table 1. The number of patients who had treatment-emergent Grade⩾3 anemia, thrombocytopenia, or neutropenia is summarized in Table 2. Exposure-Response Analysis for Anemia The potential ER relationship for Anemia was first examined by comparing C avg,t between patients with and without Anemia events at each event day (Figure 1). The black boxplots represent the distribution of C avg,t for patients without events at each event day, and the blue dots represent C avg,t of patients with events. Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Anemia. A Cox proportional hazard (PH) model was used to further evaluate the effects of talazoparib C avg,t and other prognostic factors on anemia. In the univariate analysis, age, BWT, Asian vs Non-Asian, BALT, BLDH, BLYM, and BHGB were significantly associated with occurrence of anemia (P ≤ 0.05). Both exposure variables C avg,t and LogC avg,t were tested in univariate analysis and the results showed that higher talazoparib exposure (either C avg,t or LogC avg,t as exposure metrics) was associated with higher risk of anemia. LogC avg,t had a lower p-value for significance than C avg,t ;however, C avg,t provided a more stable model with less deviation of hazard over time. The effect of talazoparib exposure on anemia, the main focus of the analysis, remained significant either using C avg,t or LogC avg,t , indicating the robust assessment of the association between talazoparib exposure and anemia. C avg,t was used in the subsequent analyses to improve model stability. Significant covariates identified in the univariate analysis were included in the multivariate analysis. Here, age, Asian vs Non-Asian, BLYM, and BALT were no longer significant. The final Cox proportional hazards model suggested that a higher risk for anemia was associated with higher C avg,t , lower BWT, lower BHGB, and higher BLDH. (Table 3). Table 3. Final Cox PH model for Anemia Covariates Coefficient Hazard Ratio (95% CI) P Value C avg,t (ng/mL) 0.3597 1.433 (1.32-1.555) 6.402×10 -18 BWT (kg) -0.02204 0.9782 (0.9694-0.987) 1.565×10 -6 BHGB (g/L) -0.028 0.9724 (0.9617-0.9832) 6.898×10 -7 BLDH (U/L) 0.001576 1.002 (1.001-1.002) 1.079×10 -7 BWT=baseline body weight; BHGB=baseline hemoglobin; BLDH=baseline lactate dehydrogenase. To assess whether hazard ratio (HR) remains constant over time which is the assumption of Cox proportional hazard model for the final model, a diagnostic plot (Supplemental Figure S2) was constructed and showed no significant deviation from constant hazard over time for BLDH with p-value of 0.161. The hazard for BWT appears to be constant. However, a trend for higher hazard over time was observed for BHGB with a p value of 0.0050. Using logarithmic transformation of BHGB and including an interaction term between BHGB and time (or logarithmic transformation of time) did not correct for the non-proportional hazard over time for BHGB. The effect of C avg,t on Anemia, the main focus of the analysis, remained significant with or without including interaction terms, indicating the robust assessment of the association between C avg,t and Anemia. Therefore, the final model was considered adequate for describing the correlation between talazoparib exposure and Anemia. Exposure-Response for Thrombocytopenia The potential ER relationship for Thrombocytopenia was first examined by comparing C avg,t between patients with and without Thrombocytopenia events at each event day (Figure 2). Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Thrombocytopenia. The relationship between C avg,t and Thrombocytopenia was further evaluated using Cox proportional hazards model. In the univariate analysis, both C avg,t and LogC avg,t were significantly associated with the occurrence of thrombocytopenia (p < 0.05). Age, BWT, BALT, and BHGB were also found to be significant. In addition, C avg,t had a lower p-value for significance than LogC avg,t , thus C avg,t was used in the subsequent analyses. Significant covariates identified in the univariate analysis including C avg,t were included in the multivariate analysis. The variables age, BWT, and BALT were no longer significant in the multivariate analysis. The final Cox PH model suggested that higher talazoparib exposure and lower baseline hemoglobin was associated with higher risk for thrombocytopenia (Table 4). A diagnostic plot examining the assumption of a constant HR over time for the final model showed no significant deviation from constant HR over time C avg,t and BHGB with p-values of 0.098 and 0.244, respectively (Supplemental Figure S3). Table 4. Final Cox PH Model for Thrombocytopenia Covariate Coefficient HR (95% CI) P_value C avg,t (ng/mL) 0.4756 1.609 (1.35-1.917) 1.06×10 -7 BHGB (g/L) -0.04918 0.952 (0.9292-0.9754) 9.998×10 -5 BHGB=baseline hemoglobin Exposure-Response for Neutropenia The potential ER relationship for Neutropenia was first examined by comparing C avg,t between patients with and without Neutropenia events at each event day (Figure 3). Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Neutropenia. The relationship between C avg,t and Neutropenia was further evaluated using Cox PH model. In the univariate analysis, the results indicated that age, BWT, Asian vs Non-Asian, BALT, BBIL, BPLT, BANC and BHGB were significantly associated with Neutropenia (p < 0.05). In addition, both C avg,t and LogC avg,t were significant, and LogC avg,t had a lower p-value for significance than C avg,t , thus LogC avg,t was used in the subsequent analyses. Significant covariates identified in the univariate analysis including LogC avg,t were included in the multivariate analysis. The variables including age, Asian vs Non-Asian, BALT, BBIL, and BPLT were no longer significant in the multivariate analysis. The final Cox PH model suggested that higher talazoparib exposure, lower BWT, lower BANC, and lower BHGB were associated with higher risk for neutropenia (Table 5). A diagnostic plot examining the assumption of a constant HR over time for the final model showed no significant deviation from constant HR over time for LogC avg,t , BWT, BANC and BHGB with p values of 0.091, 0.104, 0.046 (borderline), and 0.079, respectively (Supplemental Figure S4). Table 5. Final Cox Proportional Hazard Model for Neutropenia Covariate Coefficient HR (95% CI) P_value LogC avg,t (ng/mL) 1.938 6.942 (3.337-14.44) 2.158×10 -7 BWT (kg) -0.03829 0.9624 (0.9467-0.9784) 5.379×10 -6 BANC (10^9/L) -0.635 0.53 (0.4228-0.6642) 3.566×10 -8 BHGB (g/L) -0.02379 0.9765 (0.9605-0.9928) 0.004871 BWT=baseline body weight; BANC=baseline absolute neutrophil count; BHGB=baseline hemoglobin. Discussion Understanding the relationship between drug exposure and efficacy or safety endpoints is key to maximizing the therapeutic benefits of a drug while minimizing adverse events 18, 19 . The approved talazoparib monotherapy dose is 1 mg once daily, the MTD for talazoparib, for patients with advanced breast cancer and germline BRCA mutations. This was supported by the findings from ER analyses for efficacy and safety endpoints using data from EMBRACA and ABRAZO trials published by Yu et al 20 and Elmeliegy et al 20 , respectively. The results showed that higher talazoparib exposure was associated with both longer PFS and higher incidences of anemia, thrombocytopenia and neutropenia, supporting the use of MTD to maximize the efficacy while utilizing dose modification (interruption and reduction) to effectively manage AEs. Talazoparib 0.5 mg once daily in combination with 160 mg enzalutamide once daily provided similar exposure as 1 mg talazoparib monotherapy, thus can be considered as the MTD for the combination. The ER analysis for efficacy using rPFS data from TALAPRO-2 showed that higher talazoparib exposure was associated with longer rPFS in patients with mCRPC when administered in combination with 160 mg enzalutamide, indicating that the talazoparib dose of 0.5 mg once daily (0.35 mg daily talazoparib for patients with moderate renal impairment) in combination with enzalutamide 160 mg once daily would provide the highest tolerable talazoparib exposure leading to optimal rPFS outcomes 21 . Anemia, one of the most common hematologic AEs for patients receiving talazoparib, is believed to be a mechanistic consequence of inhibiting PARP in eythrocyte precursors (eg, Inactive PARP2 causes Tp53-dependent lethal anemia by blocking replication-associated nick ligation in erythroblasts) 22 . The current analysis explored the relationship between talazoparib exposure and Grade ≥ 3 anemia, neutropenia and thrombocytopenia. The results of the analysis showed that higher exposure was associated with higher risks for Grade ≥ 3 anemia, thrombocytopenia and neutropenia, indicating that lowering the exposure by dose interruption or reduction would lead to a lower probability of hematologic toxicities, and therefore dosing interruption or dose reduction is an effective way to manage these AEs. Overall, despite the high incidence of hematologic AEs, few patients in the TALAPRO-2 trial permanently discontinued talazoparib (10% with 4% due to anemia) because of those AEs, relative to 7% patients who permanently discontinued in the placebo + enzalutamide arm 16 . The low incidence of permanent drug discontinuation due to hematologic AEs suggests that these toxicities were effectively managed by dose interruptions and dose reductions. However, reduction to a lower dose should occur only if necessitated by AEs and according to the talazoparib dose modification guidelines since higher talazoparib exposure was also associated with longer rPFS. The time-varying average concentration up to each selected AE event, C avg,t , was used in the analysis to account for dose modifications over time due to reasons other than the safety event of interest and the impact of enzalutamide and its n-desmethyl metabolite on talazoparib exposure over time. Traditionally, the exposure metrics generally used in the E-R analysis is C avg , which is the average exposure to the event time for each patient. Hence, each patient will have a single C avg value. For drugs with no or low frequency of dose modifications, C avg will be the same or similar to C avg,t after reaching steady state and suffices for the purpose of E-R analysis as either exposure metric adequately reflects the drug exposure over time. Alternatively, for drugs with a high frequency of dose modifications, C avg,t at the time of each event could be considerably different than C avg , with C avg likely to be lower for patients with dose interruptions and/or reductions throughout the treatment duration, even before the event for patients occurs. Therefore, C avg may not reflect the average drug exposure up to each event time. Dose reductions due to other AEs (eg, diarrhea, fatigue) would lead to lower exposure and consequently a lower likelihood of experiencing the specific AEs (eg, anemia, neutropenia). Moreover, the longer these patients receive a lower dose, the lower their C avg will be, which results in even lower risk of developing the specific AEs. This trend (patients with lower exposure having lower risk of developing the specific AE, eg, anemia or neutropenia) would result in exaggeration of the exposure-safety relationship 20 . In addition to the talazoparib exposure metrics, other covariates evaluated in the Cox proportional hazards models were identified for each safety endpoint. Lower baseline hemoglobin, lower baseline body weight and higher baseline lactate dehydrogenase were associated with higher risk of Grade ≥ 3 anemia. Lower baseline hemoglobin was also associated with higher risk of Grade ≥ 3 thrombocytopenia. Lower absolute neutrophil count, lower baseline body weight and lower baseline hemoglobin were associated with Grade ≥ 3 neutropenia. In the TALAPRO-2 trial, higher incidence of Grade ≥ 3 anemia and neutropenia was observed for the Asian compared to the Non-Asian subgroup. Asian vs Non-Asian was identified as a significant covariate in the univariate analysis for Anemia and Neutropenia. However, it was no longer significant when the significant covariates identified from the univariate analysis were simultaneously included in the multivariate analysis for Anemia and Neutropenia. Significant covariates (excluding C avg,t ) in the final models of Anemia and Neutropenia were compared between the Asian and Non-Asian populations, and showed that the Asian population had BWT skewed to the lower end of the BWT distribution of the overall population, potentially confounding the effect of BWT on Anemia and Neutropenia (Supplemental Figure S5). To tease out the potential confounding effect between Race (Asian vs Non-Asian) and BWT, exposure-response analyses for Anemia and Neutropenia were conducted again after excluding Asian patients from the dataset. The result of the analyses showed that baseline body weight (BWT) is still a significant covariate impacting the risk of Grade ≥ 3 anemia and neutropenia. Lower BWT led to higher risk of Grade ≥ 3 anemia and neutropenia. The observed differences in the incidence of Grade ≥ 3 anemia and neutropenia between Asian and Non-Asian populations is likely due to the BWT differences between Asian and Non-Asian populations instead of a true effect of race. Conclusions The findings from these exposure-safety analyses support the proposed dose modifications from the recommended talazoparib dose of 0.5 mg once daily (0.35 mg daily for patients with moderate renal impairment) in combination with enzalutamide 160 mg once daily when required as an effective approach for the management of AEs. Declarations Data Sharing On request and subject to certain criteria, conditions, and exceptions (see https://www.pfizer.com/science/clinical-trials/trial-data-and-results for more information), Pfizer will provide access to individual deidentified participant data from Pfizer-sponsored global interventional clinical studies conducted for medicines, vaccines, and medical devices (1) for indications that have been approved in the United States and/or European Union or (2) in programs that have been terminated (ie, development for all indications has been discontinued). Pfizer will also consider requests for the protocol, data dictionary, and statistical analysis plan. Data may be requested from Pfizer trials 24 months after study completion. The deidentified participant data will be made available to researchers whose proposals meet the research criteria and other conditions and for which an exception does not apply via a secure portal. To gain access, data requesters must enter into a data access agreement with Pfizer. Funding This study was sponsored by Pfizer Inc. Author Contribution All authors contributed to the design of the study and/or assisted with the data analysis/interpretation of the data. All authors assisted in the preparation of the article, reviewed the article, and provided their approval for submission. All authors agree to be accountable for all aspects of the work presented. Acknowledgement The authors thank the patients who participated in this study, their families, the study coordinators, and the support staff at the clinical sites. Data Availability On request and subject to certain criteria, conditions, and exceptions (see https://www.pfizer.com/science/clinical-trials/trial-data-and-results for more information), Pfizer will provide access to individual deidentified participant data from Pfizer-sponsored global interventional clinical studies conducted for medicines, vaccines, and medical devices (1) for indications that have been approved in the United States and/or European Union or (2) in programs that have been terminated (ie, development for all indications has been discontinued). Pfizer will also consider requests for the protocol, data dictionary, and statistical analysis plan. Data may be requested from Pfizer trials 24 months after study completion. The deidentified participant data will be made available to researchers whose proposals meet the research criteria and other conditions and for which an exception does not apply via a secure portal. To gain access, data requesters must enter into a data access agreement with Pfizer. References Sayegh N, Swami U, Agarwal N. Recent Advances in the Management of Metastatic Prostate Cancer. JCO Oncol Pract. 2022;18(1): 45-55. Boyle HJ, Alibhai S, Decoster L, et al. Updated recommendations of the International Society of Geriatric Oncology on prostate cancer management in older patients. Eur J Cancer. 2019;116: 116-136. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1): 17-48. Abida W, Armenia J, Gopalan A, et al. Prospective Genomic Profiling of Prostate Cancer Across Disease States Reveals Germline and Somatic Alterations That May Affect Clinical Decision Making. JCO Precis Oncol. 2017;2017. Chung JH, Dewal N, Sokol E, et al. Prospective Comprehensive Genomic Profiling of Primary and Metastatic Prostate Tumors. JCO Precis Oncol. 2019;3. de Bono J, Mateo J, Fizazi K, et al. Olaparib for Metastatic Castration-Resistant Prostate Cancer. N Engl J Med. 2020;382(22): 2091-2102. Fizazi K, Piulats JM, Reaume MN, et al. Rucaparib or Physician's Choice in Metastatic Prostate Cancer. N Engl J Med. 2023;388(8): 719-732. Rao A, Moka N, Hamstra DA, Ryan CJ. Co-Inhibition of Androgen Receptor and PARP as a Novel Treatment Paradigm in Prostate Cancer-Where Are We Now? Cancers (Basel). 2022;14(3). Polkinghorn WR, Parker JS, Lee MX, et al. Androgen receptor signaling regulates DNA repair in prostate cancers. Cancer Discov. 2013;3(11): 1245-1253. Gui B, Gui F, Takai T, et al. Selective targeting of PARP-2 inhibits androgen receptor signaling and prostate cancer growth through disruption of FOXA1 function. Proc Natl Acad Sci U S A. 2019;116(29): 14573-14582. Agarwal N, Zhang T, Efstathiou E, et al. The biology behind combining poly [ADP ribose] polymerase and androgen receptor inhibition for metastatic castration-resistant prostate cancer. Eur J Cancer. 2023;192: 113249. de Bono JS, Mehra N, Scagliotti GV, et al. Talazoparib monotherapy in metastatic castration-resistant prostate cancer with DNA repair alterations (TALAPRO-1): an open-label, phase 2 trial. Lancet Oncol. 2021;22(9): 1250-1264. Agarwal N, Azad A, Shore ND, et al. Talazoparib plus enzalutamide in metastatic castration-resistant prostate cancer: TALAPRO-2 phase III study design. Future Oncol. 2022;18(4): 425-436. Agarwal N, Azad AA, Carles J, et al. Talazoparib plus enzalutamide in men with first-line metastatic castration-resistant prostate cancer (TALAPRO-2): a randomised, placebo-controlled, phase 3 trial. Lancet. 2023;402(10398): 291-303. TALZENNA@ [Package Insert]; Drugs@FDA, 02/06/2024, https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/211651s012lbl.pdf. Fizazi K, Azad AA, Matsubara N, et al. First-line talazoparib with enzalutamide in HRR-deficient metastatic castration-resistant prostate cancer: the phase 3 TALAPRO-2 trial. Nat Med. 2024;30(1): 257-264. Yu Y, Durairaj C, Shi H, Wang DD. Population Pharmacokinetics of Talazoparib in Patients With Advanced Cancer. J Clin Pharmacol. 2020;60(2): 218-228. Ji Y, Jin JY, Hyman DM, Kim G, Suri A. Challenges and Opportunities in Dose Finding in Oncology and Immuno-oncology. Clin Transl Sci. 2018;11(4): 345-351. Musuamba FT, Manolis E, Holford N, et al. Advanced Methods for Dose and Regimen Finding During Drug Development: Summary of the EMA/EFPIA Workshop on Dose Finding (London 4-5 December 2014). CPT Pharmacometrics Syst Pharmacol. 2017;6(7): 418-429. Elmeliegy M, Yu Y, Litton JK, et al. Exposure-Safety Analyses of Talazoparib in Patients With Advanced Breast Cancer and Germline BRCA1/2 Mutations in the EMBRACA and ABRAZO Trials. J Clin Pharmacol. 2020;60(10): 1334-1343. A.A. Azad VRL, M. Hadigol, J. Hoffman, N. Agarwal, N. Matsubara, Y. Wang, L. DeAnnuntis, F. Zohren, D. Wang. Exposure-efficacy analyses of talazoparib in combination with enzalutamide in patients with metastatic castration-resistant prostate cancer (mCRPC) in the TALAPRO-2 trial. Annals of Oncology. 2023;34: S992 - S993. Lin X, Gupta D, Vaitsiankova A, et al. Inactive Parp2 causes Tp53-dependent lethal anemia by blocking replication-associated nick ligation in erythroblasts. Mol Cell. 2024;84(20): 3916-3931 e3917. Additional Declarations No competing interests reported. Supplementary Files TP2safetypapersupplementfinal10Feb2025.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 04 Aug, 2025 Reviews received at journal 24 Jul, 2025 Reviews received at journal 21 Jul, 2025 Reviews received at journal 07 Jul, 2025 Reviewers agreed at journal 06 Jul, 2025 Reviewers agreed at journal 04 Jul, 2025 Reviewers agreed at journal 03 Jul, 2025 Reviewers invited by journal 03 Jul, 2025 Editor assigned by journal 18 Jun, 2025 Submission checks completed at journal 18 Jun, 2025 First submitted to journal 17 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Azad","email":"","orcid":"","institution":"Peter MacCallum Cancer Centre","correspondingAuthor":false,"prefix":"","firstName":"Arun","middleName":"A.","lastName":"Azad","suffix":""},{"id":481251246,"identity":"134a24a7-bf4c-4370-b4cf-86fbbf83cf5d","order_by":5,"name":"Neeraj Agarwal","email":"","orcid":"","institution":"University of Utah","correspondingAuthor":false,"prefix":"","firstName":"Neeraj","middleName":"","lastName":"Agarwal","suffix":""},{"id":481251247,"identity":"52968e33-565a-4ded-8c30-fd28064ff98e","order_by":6,"name":"Nobuaki Matsubara","email":"","orcid":"","institution":"National Cancer Center Hospital East","correspondingAuthor":false,"prefix":"","firstName":"Nobuaki","middleName":"","lastName":"Matsubara","suffix":""},{"id":481251248,"identity":"71617c05-1d1c-46c8-be3a-150d270b53ee","order_by":7,"name":"Fabian Zohren","email":"","orcid":"","institution":"Pfizer Inc","correspondingAuthor":false,"prefix":"","firstName":"Fabian","middleName":"","lastName":"Zohren","suffix":""},{"id":481251249,"identity":"12e9b4d1-7aa9-463a-8cd6-38cf2b6a24b5","order_by":8,"name":"Liza DeAnnuntis","email":"","orcid":"","institution":"Pfizer Inc","correspondingAuthor":false,"prefix":"","firstName":"Liza","middleName":"","lastName":"DeAnnuntis","suffix":""},{"id":481251250,"identity":"adddfbaa-e772-4736-b6a4-38e861ae748f","order_by":9,"name":"Diane D. Wang","email":"","orcid":"","institution":"Pfizer Inc","correspondingAuthor":false,"prefix":"","firstName":"Diane","middleName":"D.","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2025-06-17 14:53:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6915587/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6915587/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":86217493,"identity":"b80a0167-4ace-483b-ba18-311026adce9c","added_by":"auto","created_at":"2025-07-08 06:21:32","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":153834,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of C\u003csub\u003eavg,t\u003c/sub\u003e in Patients with Gr ≥3 Anemia Events and Patients without Gr ≥3 Anemia Events at Each Event Occurrence Day\u003c/p\u003e\n\u003cp\u003eAt each event day, the distribution of C\u003csub\u003eavg,t\u003c/sub\u003e for patients without events is represented\u0026nbsp; by gray box plot showing median, 25%/75% quartiles, and whiskers to the last point with 1.5 times the interquartile range. C\u003csub\u003eavg,t\u003c/sub\u003e for patients with events at each event day is represented by blue dots. Red and blue lines are the LOWESS lines for patients without and with events, respectively.\u003c/p\u003e\n\u003cp\u003eC\u003csub\u003eavg,t\u003c/sub\u003e=Talazoparib time-varying average concentration. LOWESS=locally weighted scatterplot smoothing\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6915587/v1/b5e7e73c16d933096f0b0879.png"},{"id":86217498,"identity":"c1d5f72f-e5fb-40c8-87fd-5a0f362e4c54","added_by":"auto","created_at":"2025-07-08 06:21:32","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":98679,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of C\u003csub\u003eavg,t\u003c/sub\u003e in Patients with Gr ≥3 Thrombocytopenia Events and Patients without Gr ≥3Thrombocytopenia Events at Each Event Occurrence Day\u003c/p\u003e\n\u003cp\u003eAt each event day, the distribution of C\u003csub\u003eavg,t\u003c/sub\u003e for patients without events is represented\u0026nbsp; by gray box plot showing median, 25%/75% quartiles, and whiskers to the last point with 1.5 times the interquartile range. C\u003csub\u003eavg,t\u003c/sub\u003e for patients with events at each event day is represented by blue dots. Red and blue lines are the LOWESS lines for patients without and with events, respectively.\u003c/p\u003e\n\u003cp\u003eC\u003csub\u003eavg,t\u003c/sub\u003e=Talazoparib time-varying average concentration. LOWESS=locally weighted scatterplot smoothing\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6915587/v1/ddda3f3b103f0142cb801f35.png"},{"id":86217512,"identity":"abb3a704-c194-499c-aa04-bbe7bace5b56","added_by":"auto","created_at":"2025-07-08 06:21:34","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":150046,"visible":true,"origin":"","legend":"\u003cp\u003eComparison of C\u003csub\u003eavg,t\u003c/sub\u003e in Patients with Gr ≥3 Neutropenia Events and Patients without \u0026nbsp;Gr ≥3 Neutropenia Events at Each Event Occurrence Day\u003c/p\u003e\n\u003cp\u003eAt each event day, the distribution of C\u003csub\u003eavg,t\u003c/sub\u003e for patients without events is represented by gray box plot showing median, 25%/75% quartiles, and whiskers to the last point with 1.5 times the interquartile range. C\u003csub\u003eavg,t\u003c/sub\u003e for patients with events at each event day is represented by blue dots. Red and blue lines are the LOWESS lines for patients without and with events, respectively.\u003c/p\u003e\n\u003cp\u003eC\u003csub\u003eavg,t\u003c/sub\u003e=Talazoparib time-varying average concentration. LOWESS=locally weighted scatterplot smoothing\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6915587/v1/6d68103fa19dd273de09061b.png"},{"id":86218557,"identity":"19df6d2c-20fa-4280-84b9-5a68dae1f079","added_by":"auto","created_at":"2025-07-08 06:37:33","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1300537,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6915587/v1/3bdffda3-3fb3-4bab-a2bd-6f03379583e9.pdf"},{"id":86217495,"identity":"3deaedcd-a3bb-4f8e-bf8d-8725de3011aa","added_by":"auto","created_at":"2025-07-08 06:21:32","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":484605,"visible":true,"origin":"","legend":"","description":"","filename":"TP2safetypapersupplementfinal10Feb2025.docx","url":"https://assets-eu.researchsquare.com/files/rs-6915587/v1/231ab0d8249ba8785db5af20.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Exposure-Safety Analyses of Talazoparib in Combination with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer (mCRPC) in the TALAPRO-2 Trial","fulltext":[{"header":"Introduction","content":"\u003cp\u003eOver the past decade, approvals of new treatments have improved outcomes for patients with metastatic castration-resistant prostate cancer (mCRPC)\u003csup\u003e1\u003c/sup\u003e but the disease remains aggressive and progression is inevitable highlighting the need for novel therapeutic options\u003csup\u003e2, 3\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eAlterations in DNA damage response genes involved directly or indirectly in homologous recombination repair (HRR), including BRCA1 and BRCA2 \u003csup\u003e4, 5\u003c/sup\u003e can sensitize tumors to treatment with poly(ADP-ribose) polymerase (PARP) inhibitors \u003csup\u003e6, 7\u003c/sup\u003e. Preclinical data suggest an interplay between the androgen receptor (AR) and PARP, providing a rationale for their co-inhibition\u003csup\u003e8\u003c/sup\u003e. AR inhibition upregulates PARP activity and downregulates HRR gene expression\u003csup\u003e9\u003c/sup\u003e, while PARP inhibition suppresses androgen receptor transcriptional activity and might help postponing progression \u003csup\u003e10, 11\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eTalazoparib, a potent PARP inhibitor, was initially approved as a single agent at a dose of 1 mg once daily globally for the treatment of patients with deleterious or suspected deleterious germline BRCA-mutated human epidermal receptor 2 (HER2)-negative locally advanced/metastatic breast cancer and more recently was approved in combination with enzalutamide for the treatment of adult patients with HRR gene-mutated metastatic castration-resistant prostate cancer (mCRPC).\u003c/p\u003e\u003cp\u003eIn the single arm phase 2 TALAPRO-1 study, talazoparib monotherapy administered at 1 mg/day had shown durable anti-tumor activity and a favorable benefit\u0026ndash;risk profile in patients with heavily pretreated mCRPC with HRR deficiency\u003csup\u003e12\u003c/sup\u003e. The approval of talazoparib in combination with enzalutamide in first line mCRPC is based on the phase 3 TALAPRO-2 trial. TALAPRO-2 included two patient cohorts: an unselected all-comers cohort (Cohort 1) and a molecularly selected homologous recombination repair (HRR) gene deficient cohort (Cohort 2) with DNA damage response alterations in at least one out of a panel of 12 genes directly or indirectly involved in HRR \u003csup\u003e13, 14\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003e\u003cem\u003eIn vitro\u003c/em\u003e, talazoparib is a substrate of P-glycoprotein (P-gp) and breast cancer-resistant protein (BCRP) transporters and coadministration of P-gp inhibitors increased talazoparib exposures by 45%\u003csup\u003e15\u003c/sup\u003e. The recommended dose of talazoparib in combination with enzalutamide is 0.5 mg once daily with further dose modifications allowed to manage AEs. This dose was selected with consideration for the impact of enzalutamide and the N-desmethyl metabolite of enzalutamide (both are P-gp inhibitors) on talazoparib pharmacokinetics (PK). Following oral administration of 1 mg once daily talazoparib in combination with enzalutamide 160 mg once daily, talazoparib exposures were higher than previously reported at the same dose levels with talazoparib monotherapy, indicating that coadministration of enzalutamide increased talazoparib exposures. The time to steady state of talazoparib was also prolonged from approximately 3 weeks to 9 weeks when administered in combination with enzalutamide compared to talazoparib monotherapy, reflective of the drug-drug interaction (DDI) effect of enzalutamide and N-desmethyl enzalutamide on talazoparib PK and consistent with the half-life of N-desmethyl enzalutamide (7.8 to 8.6 days). Enzalutamide and N-desmethyl enzalutamide exposures were generally consistent with previously reported values at the same dose level with enzalutamide monotherapy. A talazoparib start dose of 0.5 mg daily in combination with enzalutamide was selected for patients with normal or mild renal impairment as it generates similar talazoparib exposure levels to the recommended monotherapy dose of 1 mg daily. A talazoparib starting dose of 0.35 mg daily in combination with 160 mg daily dose of enzalutamide was selected for participants with moderate renal impairment. This reduced starting dose of talazoparib for moderate renal impairment participants was sufficient to approximately match talazoparib exposure achieved by the participants with normal renal function and mild renal impairment.\u003c/p\u003e\u003cp\u003eThe efficacy and safety of 0.5 mg (normal or mild renal impairment) or 0.35 mg (moderate renal impairment) daily talazoparib doses in combination with enzalutamide 160 mg daily was established in patients with mCRPC in the phase 3 portion of TALAPRO-2 trial.\u003csup\u003e14\u003c/sup\u003e TALAPRO-2 showed that the combination of talazoparib with enzalutamide significantly improved radiographic progression-free survival by blinded independent central review compared with placebo plus enzalutamide among patients with mCRPC in both, an unselected all-comers cohort (hazard ratio [HR]\u0026thinsp;=\u0026thinsp;0.63; 95% CI, 0.51\u0026ndash;0.78; P\u0026thinsp;\u0026lt;\u0026thinsp;0.0001), and a molecularly selected homologous recombination repair (HRR) gene deficient cohort (HR\u0026thinsp;=\u0026thinsp;0.45; 95% CI, 0.33\u0026ndash;0.61; P\u0026thinsp;\u0026lt;\u0026thinsp;0.0001)\u003csup\u003e16\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eThe most common adverse events (AEs) in the talazoparib group (\u0026ge;\u0026thinsp;30% of patients) were anemia, neutropenia, and fatigue. The most common grade 3\u0026ndash;4 adverse events (\u0026ge;\u0026thinsp;10% of patients) were anemia (185 [46%] of 398) and neutropenia (73 [18%] of 398) in the talazoparib group, with dose reduction and dose interruption allowed to manage toxicity. 62% of patients in the talazoparib plus enzalutamide arm of the all-comers cohort experienced dose interruption, and 53% of patients experienced dose reduction of talazoparib (58% dose interruption and 52% dose reduction in the HRR-deficient cohort), due to an adverse event (AE) \u003csup\u003e14\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003e Understanding the relationship between talazoparib exposure and response is critical to support the benefit-risk profile of talazoparib dosing recommendations and dose modification guidelines to manage AEs. The objectives of the analyses reported here were to characterize the relationship between talazoparib exposure and grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia, neutropenia, and thrombocytopenia in patients with mCRPC regardless of HRR gene alteration status and to identify potential prognostic factors for the selected safety endpoints.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003eStudy Design\u003c/h2\u003e\n \u003cp\u003eTALAPRO-2 (NCT03395197) is a multinational, Phase 3, two-part study evaluating talazoparib in combination with the androgen receptor inhibitor enzalutamide as a first-line treatment in patients with mCRPC \u003csup\u003e13\u003c/sup\u003e. The protocol was approved by an independent ethics committee and all patients provided written informed consent. The study was conducted in accordance with the principles of the Declaration of Helsinki, using Good Clinical Practice according to the International Council for Harmonisation Tripartite Guidelines. A schematic of the TALAPRO-2 trial is shown in Supplemental Figure \u003cspan class=\"InternalRef\"\u003eS1\u003c/span\u003e.\u003c/p\u003e\n \u003cp\u003eAn initial, non-randomized, open-label run-in period (Part 1, N\u0026thinsp;=\u0026thinsp;19) was conducted to inform the selection of a talazoparib dose of 0.5 mg daily in combination with 160 mg daily enzalutamide (0.35 mg daily talazoparib for patients with moderate renal impairment). In Part 1, patients received either 1 mg or 0.5 mg talazoparib in combination with enzalutamide 160 mg daily. Part 2 was randomized, double-blind, placebo controlled, and evaluated the efficacy and safety of talazoparib in combination with enzalutamide compared with placebo in combination with enzalutamide. In Part 2, talazoparib was dosed at 0.5 mg orally once daily (or 0.35 mg daily for patients with moderate renal impairment) with or without food in combination with enzalutamide 160 mg once daily, and dose modifications were allowed to manage AEs. Thresholds for dose reductions were protocol defined, and reductions went from 0.5 mg to 0.35 mg to 0.25 mg to 0.1 mg once daily. Once the all-comers enrollment was complete, further enrolment was restricted to patients with HRR gene alterations (Cohort 2). Treatment continued until radiographic progression by blinded independent central review, unacceptable toxicity, or withdrawal of consent.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eStudy Assessment\u003c/h3\u003e\n\u003cp\u003eIn Part 1, PK samples were collected at pre-dose, 1, 2, 4, 6, and 24 hours post-dose at Day 1 (Week 1) and Week 9. Additionally, PK samples were collected at pre-dose and 2 hours post-dose at Week 5 and pre-dose at Weeks 13 and 17. In Part 2, PK samples were collected at pre-dose and 2 hours post-dose at Weeks 3, 5, and 9, and pre-dose at Weeks 13 and 17. PK data were analyzed using a population PK approach\u003csup\u003e17\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eSafety and tolerability were evaluated by assessment of AEs, physical examinations, vital signs, and laboratory evaluations. AE data were coded using the Medical Dictionary for Regulatory Activities version 20.0, and AEs and laboratory parameters were graded for severity using the Common Terminology Criteria for Adverse Events (CTCAE) version 4.03. The period for treatment-emergent AEs was defined as the period from the first dose of study drug through 30 days after the date of the last dose of study drug or the day before initiation of a new antineoplastic treatment, whichever occurred first. Selected safety endpoints based on investigator reported TEAEs include the time of the 1st incidence of Grade 3 or higher anemia (hemoglobin\u0026thinsp;\u0026lt;\u0026thinsp;8.0 g/dL), Grade 3 or higher thrombocytopenia (platelet count\u0026thinsp;\u0026lt;\u0026thinsp;50000/mm\u003csup\u003e3\u003c/sup\u003e), and Grade 3 or higher neutropenia (neutrophil count\u0026thinsp;\u0026lt;\u0026thinsp;1000/mm\u003csup\u003e3\u003c/sup\u003e).\u003c/p\u003e\n\u003ch3\u003eTalazoparib Exposure Metric\u003c/h3\u003e\n\u003cp\u003eTo account for changes in talazoparib exposure over time due to dose modifications and effect of enzalutamide and its n-desmethyl metabolite on talazoparib exposure over time, time-varying average talazoparib concentration values (C\u003csub\u003eavg,t\u003c/sub\u003e) were used in the analysis. The area under concentration time curve up to the time when each safety event occurred in the study (AUC,t) were calculated for each patient. This was enabled by generating the individual concentration time profiles using posthoc parameter estimates obtained from population PK analysis (ref) for each patient and calculating AUC,t as:\u003c/p\u003e\n\u003cdiv id=\"Equa\" class=\"Equation\"\u003e\n \u003cdiv class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e$$\\:\\frac{\\text{d}\\text{A}\\text{U}\\text{C},\\text{t}}{\\text{d}\\text{t}}=\\text{C}$$\u003c/div\u003e\n\u003c/div\u003e\n\u003cp\u003ewhere C is talazoparib concentration. Then C\u003csub\u003eavg,t\u003c/sub\u003e was calculated as follows:\u003c/p\u003e\n\u003cdiv id=\"Equb\" class=\"Equation\"\u003e\n \u003cdiv class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e$$\\:\\text{C}\\text{a}\\text{v}\\text{g},\\text{t}=\\:\\frac{\\text{A}\\text{U}\\text{C},\\text{t}}{\\text{t}}$$\u003c/div\u003e\n\u003c/div\u003e\n\u003cp\u003eExcept for the patients whose event occurred first among all patients, all other patients had multiple C\u003csub\u003eavg,t\u003c/sub\u003e values, one at each distinct safety event time in the analysis population.\u003c/p\u003e\n\u003ch3\u003eOther Prognostic Covariates Tested for Association with the Selected Safety Endpoints\u003c/h3\u003e\n\u003cp\u003eIn addition to talazoparib exposure metrics, the tested potential covariates for safety endpoint analyses in the univariate analyses were preselected and included the following 4 categories:\u003c/p\u003e\n\u003cp\u003e\u0026bull; Demographics: Age, baseline body weight (BWT), Race (Asian vs Non-Asian).\u003c/p\u003e\n\u003cp\u003e\u0026bull; Baseline performance status: Eastern Cooperative Oncology Group (ECOG).\u003c/p\u003e\n\u003cp\u003e\u0026bull; Baseline laboratory test values: baseline albumin (BALB), baseline alkaline phosphatase (BALK), baseline alanine aminotransferase (BALT), baseline aspartate aminotransferase (BAST), baseline bilirubin (BBIL), baseline lactate dehydrogenase (BLDH), baseline lymphocytes (BLYM), baseline hemoglobin (BHGB), baseline platelet count (BPLT), and baseline absolute neutrophil counts (BANC).\u003c/p\u003e\n\u003cp\u003e\u0026bull; Prior therapy: prior radiotherapy (PR RADIO), Prior second-generation Androgen Receptor Pathway Inhibitor (ARPI).\u003c/p\u003e\n\u003ch3\u003eVisual Examination\u003c/h3\u003e\n\u003cp\u003eAn exploratory exposure-response (ER) evaluation was first conducted using a plot comparing C\u003csub\u003eavg,t\u003c/sub\u003e values in patients with safety events to those without events at each time point when the events occurred. This is to examine whether there was a trend for patients with events to have a relatively lower or higher exposure compared with those without events.\u003c/p\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eCox Proportional Hazard Model\u003c/h2\u003e\n \u003cp\u003eThe Cox proportional hazard (PH) model was used to quantify the effects of talazoparib exposure (C\u003csub\u003eavg,t\u003c/sub\u003e) and other baseline covariates on safety endpoints. The model is described below:\u003c/p\u003e\n \u003cdiv id=\"Equc\" class=\"Equation\"\u003e\n \u003cdiv class=\"mathdisplay\" id=\"FileID_Equc\" name=\"EquationSource\"\u003e$$\\:h\\left(t\\right)={h}_{0}\\left(t\\right)\\times\\:{\\text{exp}}^{({\\theta\\:\\:}\\times\\:{cov})}$$\u003c/div\u003e\n \u003c/div\u003e\n \u003cp\u003eWhere h(t) is the hazard rate at time t, h\u003csub\u003e0\u003c/sub\u003e(t) represents the background hazard rate, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\theta\\:\\)\u003c/span\u003e\u003c/span\u003e is the coefficient quantifying the effect of covariate on hazard, Cov is the value of covariate of interest.\u003c/p\u003e\n \u003cp\u003eA univariate Cox regression analysis was conducted to screen for potential covariates and significant covariates were simultaneously included in a multivariate analysis. Talazoparib exposure measure C\u003csub\u003eavg,t\u003c/sub\u003e was retained in each step of multivariate analyses as exposure/response relationship is the main focus of the evaluation. In addition, Chinese vs non-Chinese patients (code as \u0026quot;CNPT) was added to the covariates in the multivariate analysis to assess the correlation between selected safety endpoints and Chinese vs non-Chinese patients to support the regulatory submission in China. The insignificant covariates (p-value\u0026thinsp;\u0026gt;\u0026thinsp;0.05) were removed in each step while the exposure metrics were to be carried forward, until all the covariates included in the multivariate analysis other than the exposure metrics were all significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). If the exposure metrics were significant, this model was considered as final model; otherwise, another stepwise multivariate analysis was to be performed with all the significant covariates adding the exposure metrics. If the exposure metrics in this multivariate analysis is significant, this model was considered as the final model; if not, it should be removed to obtain the final model.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eModeling Software\u003c/h3\u003e\n\u003cp\u003eThe exposure-response (E-R) analyses were performed using R software version 4.1.1 (R Foundation for Statistical Computing, Vienna, Austria). For model evaluation, the proportional hazard assumption was tested based on the scaled Schoenfeld residuals using the cox.zph function included in the survival package in R.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003ePatient Demographics and Observed Data\u003c/p\u003e\n\u003cp\u003eData for selected safety endpoints were available from a total of 417 patients in the talazoparib + enzalutamide arm from the TALAPRO-2 trial. Among those 417 patients 2 patients received only enzalutamide and did not receive talazoparib. Three (3) patients had missing talazoparib exposure. The above mentioned 5 patients were not included in the ER safety analysis, leaving 412 patients (399 patients received 0.5 mg talazoparib; 13 received 1 mg talazoparib), who were included in the ER safety analysis. The baseline characteristics for all patients included in the ER analyses are summarized in Table 1. The number of patients who had treatment-emergent Grade⩾3 anemia, thrombocytopenia, or neutropenia is summarized in Table 2.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" 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\" width=\"660\" height=\"195\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eExposure-Response Analysis for Anemia\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe potential ER relationship for Anemia was first examined by comparing C\u003csub\u003eavg,t\u003c/sub\u003e between patients with and without Anemia events at each event day (Figure 1). The black boxplots represent the distribution of C\u003csub\u003eavg,t\u003c/sub\u003e for patients without events at each event day, and the blue dots represent C\u003csub\u003eavg,t\u003c/sub\u003e of patients with events. Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Anemia. A Cox proportional hazard (PH) model was used to further evaluate the effects of talazoparib C\u003csub\u003eavg,t\u003c/sub\u003e and other prognostic factors on anemia. In the univariate analysis, age, \u0026nbsp;BWT, Asian vs Non-Asian, BALT, BLDH, BLYM, and BHGB were significantly associated with occurrence of anemia (P \u0026le; 0.05). Both exposure variables C\u003csub\u003eavg,t\u003c/sub\u003e and LogC\u003csub\u003eavg,t\u003c/sub\u003e were tested in univariate analysis and the results showed that higher talazoparib exposure (either C\u003csub\u003eavg,t\u003c/sub\u003e or LogC\u003csub\u003eavg,t\u003c/sub\u003e as exposure metrics) was associated with higher risk of anemia. LogC\u003csub\u003eavg,t\u003c/sub\u003e had a lower p-value for significance than C\u003csub\u003eavg,t\u003c/sub\u003e ;however, C\u003csub\u003eavg,t\u003c/sub\u003e provided a more stable model with less deviation of hazard over time. The effect of talazoparib exposure on anemia, the main focus of the analysis, remained significant either using C\u003csub\u003eavg,t\u003c/sub\u003e or LogC\u003csub\u003eavg,t\u003c/sub\u003e, indicating the robust assessment of the association between talazoparib exposure and anemia. C\u003csub\u003eavg,t\u003c/sub\u003e was used in the subsequent analyses to improve model stability.\u003c/p\u003e\n\u003cp\u003eSignificant covariates identified in the univariate analysis were included in the multivariate analysis. Here, age, Asian vs Non-Asian, BLYM, and BALT were no longer significant. The final Cox proportional hazards model suggested that a higher risk for anemia was associated with higher C\u003csub\u003eavg,t\u003c/sub\u003e, lower BWT, lower BHGB, and higher BLDH. (Table 3).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 3. Final Cox PH model for Anemia\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCovariates\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCoefficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHazard Ratio (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eC\u003csub\u003eavg,t\u003c/sub\u003e (ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e0.3597\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e1.433 (1.32-1.555)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e6.402\u0026times;10\u003csup\u003e-18\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eBWT (kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e-0.02204\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e0.9782 (0.9694-0.987)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e1.565\u0026times;10\u003csup\u003e-6\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eBHGB (g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e-0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e0.9724 (0.9617-0.9832)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e6.898\u0026times;10\u003csup\u003e-7\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eBLDH (U/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e0.001576\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 35px;\"\u003e\n \u003cp\u003e1.002 (1.001-1.002)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e1.079\u0026times;10\u003csup\u003e-7\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eBWT=baseline body weight; BHGB=baseline hemoglobin; BLDH=baseline lactate dehydrogenase.\u003c/p\u003e\n\u003cp\u003eTo assess whether hazard ratio (HR) remains constant over time which is the assumption of Cox proportional hazard model for the final model, a diagnostic plot (Supplemental Figure S2) was constructed and showed no significant deviation from constant hazard over time for BLDH with p-value of 0.161. The hazard for BWT appears to be constant. However, a trend for higher hazard over time was observed for BHGB with a p value of 0.0050. Using logarithmic transformation of BHGB and including an interaction term between BHGB and time (or logarithmic transformation of time) did not correct for the non-proportional hazard over time for BHGB. The effect of C\u003csub\u003eavg,t\u003c/sub\u003e on Anemia, the main focus of the analysis, remained significant with or without including interaction terms, indicating the robust assessment of the association between C\u003csub\u003eavg,t\u003c/sub\u003e and Anemia. Therefore, the final model was considered adequate for describing the correlation between talazoparib exposure and Anemia.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eExposure-Response for Thrombocytopenia\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe potential ER relationship for Thrombocytopenia was first examined by comparing C\u003csub\u003eavg,t\u003c/sub\u003e between patients with and without Thrombocytopenia events at each event day (Figure 2). Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Thrombocytopenia. The relationship between C\u003csub\u003eavg,t\u003c/sub\u003e and Thrombocytopenia was further evaluated using Cox proportional hazards model. In the univariate analysis, both C\u003csub\u003eavg,t\u0026nbsp;\u003c/sub\u003eand LogC\u003csub\u003eavg,t\u003c/sub\u003e were significantly associated with the occurrence of thrombocytopenia (p \u0026lt; 0.05). Age, BWT, BALT, and BHGB were also found to be significant. In addition, C\u003csub\u003eavg,t\u003c/sub\u003e had a lower p-value for significance than LogC\u003csub\u003eavg,t\u003c/sub\u003e, thus C\u003csub\u003eavg,t\u003c/sub\u003e was used in the subsequent analyses. Significant covariates identified in the univariate analysis including C\u003csub\u003eavg,t\u003c/sub\u003e were included in the multivariate analysis. The variables age, BWT, and BALT were no longer significant in the multivariate analysis. The final Cox PH model suggested that higher talazoparib exposure and lower baseline hemoglobin was associated with higher risk for thrombocytopenia (Table 4). A diagnostic plot examining the assumption of a constant HR over time for the final model showed no significant deviation from constant HR over time C\u003csub\u003eavg,t\u003c/sub\u003e and BHGB with p-values of 0.098 and 0.244, respectively (Supplemental Figure S3).\u003c/p\u003e\n\u003cp\u003eTable 4. Final Cox PH Model for Thrombocytopenia\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCovariate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCoefficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP_value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eC\u003csub\u003eavg,t\u003c/sub\u003e (ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e0.4756\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e1.609 (1.35-1.917)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e1.06\u0026times;10\u003csup\u003e-7\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003eBHGB (g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 19px;\"\u003e\n \u003cp\u003e-0.04918\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e0.952 (0.9292-0.9754)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 22px;\"\u003e\n \u003cp\u003e9.998\u0026times;10\u003csup\u003e-5\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eBHGB=baseline hemoglobin\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eExposure-Response for Neutropenia\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe potential ER relationship for Neutropenia was first examined by comparing C\u003csub\u003eavg,t\u003c/sub\u003e between patients with and without Neutropenia events at each event day (Figure 3). Patients with events (blue dash line) appeared to have higher exposure than patients without events (red dash line), suggesting that higher exposure may be associated with higher risk of Neutropenia. The relationship between C\u003csub\u003eavg,t\u003c/sub\u003e and Neutropenia was further evaluated using Cox PH model. In the univariate analysis, the results indicated that age, BWT, Asian vs Non-Asian, BALT, BBIL, BPLT, BANC and BHGB were significantly associated with Neutropenia (p \u0026lt; 0.05). In addition, both C\u003csub\u003eavg,t\u003c/sub\u003e and LogC\u003csub\u003eavg,t\u003c/sub\u003e were significant, and LogC\u003csub\u003eavg,t\u003c/sub\u003e had a lower p-value for significance than C\u003csub\u003eavg,t\u003c/sub\u003e, thus LogC\u003csub\u003eavg,t\u003c/sub\u003e was used in the subsequent analyses. Significant covariates identified in the univariate analysis including LogC\u003csub\u003eavg,t\u003c/sub\u003e were included in the multivariate analysis. The variables including age, Asian vs Non-Asian, BALT, BBIL, and BPLT were no longer significant in the multivariate analysis. The final Cox PH model suggested that higher talazoparib exposure, lower BWT, lower BANC, and lower BHGB were associated with higher risk for neutropenia (Table 5). A diagnostic plot examining the assumption of a constant HR over time for the final model showed no significant deviation from constant HR over time for LogC\u003csub\u003eavg,t\u003c/sub\u003e, BWT, BANC and BHGB with p values of 0.091, 0.104, 0.046 (borderline), and 0.079, respectively (Supplemental Figure S4).\u003c/p\u003e\n\u003cp\u003eTable 5. Final Cox Proportional Hazard Model for Neutropenia\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCovariate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCoefficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR (95% CI)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP_value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003eLogC\u003csub\u003eavg,t\u003c/sub\u003e (ng/mL)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e1.938\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e6.942 (3.337-14.44)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e2.158\u0026times;10\u003csup\u003e-7\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003eBWT (kg)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e-0.03829\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e0.9624 (0.9467-0.9784)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e5.379\u0026times;10\u003csup\u003e-6\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003eBANC (10^9/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e-0.635\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e0.53 (0.4228-0.6642)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e3.566\u0026times;10\u003csup\u003e-8\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 26px;\"\u003e\n \u003cp\u003eBHGB (g/L)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 18px;\"\u003e\n \u003cp\u003e-0.02379\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 34px;\"\u003e\n \u003cp\u003e0.9765 (0.9605-0.9928)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 21px;\"\u003e\n \u003cp\u003e0.004871\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eBWT=baseline body weight; BANC=baseline absolute neutrophil count; BHGB=baseline hemoglobin.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eUnderstanding the relationship between drug exposure and efficacy or safety endpoints is key to maximizing the therapeutic benefits of a drug while minimizing adverse events \u003csup\u003e18, 19\u003c/sup\u003e. The approved talazoparib monotherapy dose is 1 mg once daily, the MTD for talazoparib, for patients with advanced breast cancer and germline BRCA mutations. This was supported by the findings from ER analyses for efficacy and safety endpoints using data from EMBRACA and ABRAZO trials published by Yu et al\u003csup\u003e20\u003c/sup\u003e and Elmeliegy et al\u003csup\u003e20\u003c/sup\u003e, respectively. The results showed that higher talazoparib exposure was associated with both longer PFS and higher incidences of anemia, thrombocytopenia and neutropenia, supporting the use of MTD to maximize the efficacy while utilizing dose modification (interruption and reduction) to effectively manage AEs. Talazoparib 0.5 mg once daily in combination with 160 mg enzalutamide once daily provided similar exposure as 1 mg talazoparib monotherapy, thus can be considered as the MTD for the combination. The ER analysis for efficacy using rPFS data from TALAPRO-2 showed that higher talazoparib exposure was associated with longer rPFS in patients with mCRPC when administered in combination with 160 mg enzalutamide, indicating that the talazoparib dose of 0.5 mg once daily (0.35 mg daily talazoparib for patients with moderate renal impairment) in combination with enzalutamide 160 mg once daily would provide the highest tolerable talazoparib exposure leading to optimal rPFS outcomes\u003csup\u003e21\u003c/sup\u003e. Anemia, one of the most common hematologic AEs for patients receiving talazoparib, is believed to be a mechanistic consequence of inhibiting PARP in eythrocyte precursors (eg, Inactive PARP2 causes Tp53-dependent lethal anemia by blocking replication-associated nick ligation in erythroblasts)\u003csup\u003e22\u003c/sup\u003e. The current analysis explored the relationship between talazoparib exposure and Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia, neutropenia and thrombocytopenia. The results of the analysis showed that higher exposure was associated with higher risks for Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia, thrombocytopenia and neutropenia, indicating that lowering the exposure by dose interruption or reduction would lead to a lower probability of hematologic toxicities, and therefore dosing interruption or dose reduction is an effective way to manage these AEs. Overall, despite the high incidence of hematologic AEs, few patients in the TALAPRO-2 trial permanently discontinued talazoparib (10% with 4% due to anemia) because of those AEs, relative to 7% patients who permanently discontinued in the placebo\u0026thinsp;+\u0026thinsp;enzalutamide arm \u003csup\u003e16\u003c/sup\u003e. The low incidence of permanent drug discontinuation due to hematologic AEs suggests that these toxicities were effectively managed by dose interruptions and dose reductions. However, reduction to a lower dose should occur only if necessitated by AEs and according to the talazoparib dose modification guidelines since higher talazoparib exposure was also associated with longer rPFS.\u003c/p\u003e\u003cp\u003eThe time-varying average concentration up to each selected AE event, C\u003csub\u003eavg,t\u003c/sub\u003e, was used in the analysis to account for dose modifications over time due to reasons other than the safety event of interest and the impact of enzalutamide and its n-desmethyl metabolite on talazoparib exposure over time. Traditionally, the exposure metrics generally used in the E-R analysis is C\u003csub\u003eavg\u003c/sub\u003e, which is the average exposure to the event time for each patient. Hence, each patient will have a single C\u003csub\u003eavg\u003c/sub\u003e value. For drugs with no or low frequency of dose modifications, C\u003csub\u003eavg\u003c/sub\u003e will be the same or similar to C\u003csub\u003eavg,t\u003c/sub\u003e after reaching steady state and suffices for the purpose of E-R analysis as either exposure metric adequately reflects the drug exposure over time. Alternatively, for drugs with a high frequency of dose modifications, C\u003csub\u003eavg,t\u003c/sub\u003e at the time of each event could be considerably different than C\u003csub\u003eavg\u003c/sub\u003e, with C\u003csub\u003eavg\u003c/sub\u003e likely to be lower for patients with dose interruptions and/or reductions throughout the treatment duration, even before the event for patients occurs. Therefore, C\u003csub\u003eavg\u003c/sub\u003e may not reflect the average drug exposure up to each event time. Dose reductions due to other AEs (eg, diarrhea, fatigue) would lead to lower exposure and consequently a lower likelihood of experiencing the specific AEs (eg, anemia, neutropenia). Moreover, the longer these patients receive a lower dose, the lower their C\u003csub\u003eavg\u003c/sub\u003e will be, which results in even lower risk of developing the specific AEs. This trend (patients with lower exposure having lower risk of developing the specific AE, eg, anemia or neutropenia) would result in exaggeration of the exposure-safety relationship \u003csup\u003e20\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eIn addition to the talazoparib exposure metrics, other covariates evaluated in the Cox proportional hazards models were identified for each safety endpoint. Lower baseline hemoglobin, lower baseline body weight and higher baseline lactate dehydrogenase were associated with higher risk of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia. Lower baseline hemoglobin was also associated with higher risk of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 thrombocytopenia. Lower absolute neutrophil count, lower baseline body weight and lower baseline hemoglobin were associated with Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 neutropenia.\u003c/p\u003e\u003cp\u003eIn the TALAPRO-2 trial, higher incidence of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia and neutropenia was observed for the Asian compared to the Non-Asian subgroup. Asian vs Non-Asian was identified as a significant covariate in the univariate analysis for Anemia and Neutropenia. However, it was no longer significant when the significant covariates identified from the univariate analysis were simultaneously included in the multivariate analysis for Anemia and Neutropenia. Significant covariates (excluding C\u003csub\u003eavg,t\u003c/sub\u003e) in the final models of Anemia and Neutropenia were compared between the Asian and Non-Asian populations, and showed that the Asian population had BWT skewed to the lower end of the BWT distribution of the overall population, potentially confounding the effect of BWT on Anemia and Neutropenia (Supplemental Figure S5). To tease out the potential confounding effect between Race (Asian vs Non-Asian) and BWT, exposure-response analyses for Anemia and Neutropenia were conducted again after excluding Asian patients from the dataset. The result of the analyses showed that baseline body weight (BWT) is still a significant covariate impacting the risk of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia and neutropenia. Lower BWT led to higher risk of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia and neutropenia. The observed differences in the incidence of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia and neutropenia between Asian and Non-Asian populations is likely due to the BWT differences between Asian and Non-Asian populations instead of a true effect of race.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe findings from these exposure-safety analyses support the proposed dose modifications from the recommended talazoparib dose of 0.5 mg once daily (0.35 mg daily for patients with moderate renal impairment) in combination with enzalutamide 160 mg once daily when required as an effective approach for the management of AEs.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eData Sharing\u003c/h2\u003e\u003cp\u003eOn request and subject to certain criteria, conditions, and exceptions (see \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.pfizer.com/science/clinical-trials/trial-data-and-results\u003c/span\u003e\u003cspan address=\"https://www.pfizer.com/science/clinical-trials/trial-data-and-results\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e for more information), Pfizer will provide access to individual deidentified participant data from Pfizer-sponsored global interventional clinical studies conducted for medicines, vaccines, and medical devices (1) for indications that have been approved in the United States and/or European Union or (2) in programs that have been terminated (ie, development for all indications has been discontinued). Pfizer will also consider requests for the protocol, data dictionary, and statistical analysis plan. Data may be requested from Pfizer trials 24 months after study completion. The deidentified participant data will be made available to researchers whose proposals meet the research criteria and other conditions and for which an exception does not apply via a secure portal. To gain access, data requesters must enter into a data access agreement with Pfizer.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThis study was sponsored by Pfizer Inc.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAll authors contributed to the design of the study and/or assisted with the data analysis/interpretation of the data. All authors assisted in the preparation of the article, reviewed the article, and provided their approval for submission. All authors agree to be accountable for all aspects of the work presented.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThe authors thank the patients who participated in this study, their families, the study coordinators, and the support staff at the clinical sites.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eOn request and subject to certain criteria, conditions, and exceptions (see https://www.pfizer.com/science/clinical-trials/trial-data-and-results for more information), Pfizer will provide access to individual deidentified participant data from Pfizer-sponsored global interventional clinical studies conducted for medicines, vaccines, and medical devices (1) for indications that have been approved in the United States and/or European Union or (2) in programs that have been terminated (ie, development for all indications has been discontinued). Pfizer will also consider requests for the protocol, data dictionary, and statistical analysis plan. Data may be requested from Pfizer trials 24 months after study completion. The deidentified participant data will be made available to researchers whose proposals meet the research criteria and other conditions and for which an exception does not apply via a secure portal. To gain access, data requesters must enter into a data access agreement with Pfizer.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSayegh N, Swami U, Agarwal N. Recent Advances in the Management of Metastatic Prostate Cancer. \u003cem\u003eJCO Oncol Pract. \u003c/em\u003e2022;18(1): 45-55.\u003c/li\u003e\n\u003cli\u003eBoyle HJ, Alibhai S, Decoster L, et al. Updated recommendations of the International Society of Geriatric Oncology on prostate cancer management in older patients. \u003cem\u003eEur J Cancer. \u003c/em\u003e2019;116: 116-136.\u003c/li\u003e\n\u003cli\u003eSiegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. \u003cem\u003eCA Cancer J Clin. \u003c/em\u003e2023;73(1): 17-48.\u003c/li\u003e\n\u003cli\u003eAbida W, Armenia J, Gopalan A, et al. Prospective Genomic Profiling of Prostate Cancer Across Disease States Reveals Germline and Somatic Alterations That May Affect Clinical Decision Making. \u003cem\u003eJCO Precis Oncol. \u003c/em\u003e2017;2017.\u003c/li\u003e\n\u003cli\u003eChung JH, Dewal N, Sokol E, et al. Prospective Comprehensive Genomic Profiling of Primary and Metastatic Prostate Tumors. \u003cem\u003eJCO Precis Oncol. \u003c/em\u003e2019;3.\u003c/li\u003e\n\u003cli\u003ede Bono J, Mateo J, Fizazi K, et al. Olaparib for Metastatic Castration-Resistant Prostate Cancer. \u003cem\u003eN Engl J Med. \u003c/em\u003e2020;382(22): 2091-2102.\u003c/li\u003e\n\u003cli\u003eFizazi K, Piulats JM, Reaume MN, et al. Rucaparib or Physician\u0026apos;s Choice in Metastatic Prostate Cancer. \u003cem\u003eN Engl J Med. \u003c/em\u003e2023;388(8): 719-732.\u003c/li\u003e\n\u003cli\u003eRao A, Moka N, Hamstra DA, Ryan CJ. Co-Inhibition of Androgen Receptor and PARP as a Novel Treatment Paradigm in Prostate Cancer-Where Are We Now? \u003cem\u003eCancers (Basel). \u003c/em\u003e2022;14(3).\u003c/li\u003e\n\u003cli\u003ePolkinghorn WR, Parker JS, Lee MX, et al. Androgen receptor signaling regulates DNA repair in prostate cancers. \u003cem\u003eCancer Discov. \u003c/em\u003e2013;3(11): 1245-1253.\u003c/li\u003e\n\u003cli\u003eGui B, Gui F, Takai T, et al. Selective targeting of PARP-2 inhibits androgen receptor signaling and prostate cancer growth through disruption of FOXA1 function. \u003cem\u003eProc Natl Acad Sci U S A. \u003c/em\u003e2019;116(29): 14573-14582.\u003c/li\u003e\n\u003cli\u003eAgarwal N, Zhang T, Efstathiou E, et al. The biology behind combining poly [ADP ribose] polymerase and androgen receptor inhibition for metastatic castration-resistant prostate cancer. \u003cem\u003eEur J Cancer. \u003c/em\u003e2023;192: 113249.\u003c/li\u003e\n\u003cli\u003ede Bono JS, Mehra N, Scagliotti GV, et al. Talazoparib monotherapy in metastatic castration-resistant prostate cancer with DNA repair alterations (TALAPRO-1): an open-label, phase 2 trial. \u003cem\u003eLancet Oncol. \u003c/em\u003e2021;22(9): 1250-1264.\u003c/li\u003e\n\u003cli\u003eAgarwal N, Azad A, Shore ND, et al. Talazoparib plus enzalutamide in metastatic castration-resistant prostate cancer: TALAPRO-2 phase III study design. \u003cem\u003eFuture Oncol. \u003c/em\u003e2022;18(4): 425-436.\u003c/li\u003e\n\u003cli\u003eAgarwal N, Azad AA, Carles J, et al. Talazoparib plus enzalutamide in men with first-line metastatic castration-resistant prostate cancer (TALAPRO-2): a randomised, placebo-controlled, phase 3 trial. \u003cem\u003eLancet. \u003c/em\u003e2023;402(10398): 291-303.\u003c/li\u003e\n\u003cli\u003eTALZENNA@ [Package Insert]; Drugs@FDA, 02/06/2024, https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/211651s012lbl.pdf.\u003c/li\u003e\n\u003cli\u003eFizazi K, Azad AA, Matsubara N, et al. First-line talazoparib with enzalutamide in HRR-deficient metastatic castration-resistant prostate cancer: the phase 3 TALAPRO-2 trial. \u003cem\u003eNat Med. \u003c/em\u003e2024;30(1): 257-264.\u003c/li\u003e\n\u003cli\u003eYu Y, Durairaj C, Shi H, Wang DD. Population Pharmacokinetics of Talazoparib in Patients With Advanced Cancer. \u003cem\u003eJ Clin Pharmacol. \u003c/em\u003e2020;60(2): 218-228.\u003c/li\u003e\n\u003cli\u003eJi Y, Jin JY, Hyman DM, Kim G, Suri A. Challenges and Opportunities in Dose Finding in Oncology and Immuno-oncology. \u003cem\u003eClin Transl Sci. \u003c/em\u003e2018;11(4): 345-351.\u003c/li\u003e\n\u003cli\u003eMusuamba FT, Manolis E, Holford N, et al. Advanced Methods for Dose and Regimen Finding During Drug Development: Summary of the EMA/EFPIA Workshop on Dose Finding (London 4-5 December 2014). \u003cem\u003eCPT Pharmacometrics Syst Pharmacol. \u003c/em\u003e2017;6(7): 418-429.\u003c/li\u003e\n\u003cli\u003eElmeliegy M, Yu Y, Litton JK, et al. Exposure-Safety Analyses of Talazoparib in Patients With Advanced Breast Cancer and Germline BRCA1/2 Mutations in the EMBRACA and ABRAZO Trials. \u003cem\u003eJ Clin Pharmacol. \u003c/em\u003e2020;60(10): 1334-1343.\u003c/li\u003e\n\u003cli\u003eA.A. Azad VRL, M. Hadigol, J. Hoffman, N. Agarwal, N. Matsubara, Y. Wang, L. DeAnnuntis, F. Zohren, D. Wang. Exposure-efficacy analyses of talazoparib in combination with enzalutamide in patients with metastatic castration-resistant prostate cancer (mCRPC) in the TALAPRO-2 trial. \u003cem\u003eAnnals of Oncology. \u003c/em\u003e2023;34: S992 - S993.\u003c/li\u003e\n\u003cli\u003eLin X, Gupta D, Vaitsiankova A, et al. Inactive Parp2 causes Tp53-dependent lethal anemia by blocking replication-associated nick ligation in erythroblasts. \u003cem\u003eMol Cell. \u003c/em\u003e2024;84(20): 3916-3931 e3917.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-pharmacokinetics-and-pharmacodynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jopa","sideBox":"Learn more about [Journal of Pharmacokinetics and Pharmacodynamics](http://link.springer.com/journal/10928)","snPcode":"10928","submissionUrl":"https://submission.nature.com/new-submission/10928/3","title":"Journal of Pharmacokinetics and Pharmacodynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"talazoparib, mCRPC, exposure metrics, exposure-response, time-varying exposure","lastPublishedDoi":"10.21203/rs.3.rs-6915587/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6915587/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe TALAPRO-2 trial (NCT03395197) showed that the addition of talazoparib, a potent PARP inhibitor, to enzalutamide significantly improved radiographic progression-free survival in patients with mCRPC. Due to adverse events (AEs), approximately 62% of patients experienced dose interruption and 53% of patients experienced dose reduction of talazoparib in TALAPRO-2 trial. Hematologic AEs such as anemia, thrombocytopenia, and neutropenia were the most common AEs leading to dose interruptions or reductions. We investigated the relationship between talazoparib exposure as well as baseline patients/disease characteristics and Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia, thrombocytopenia, and neutropenia using graphical examination and Cox proportional hazard models. The results indicated that higher talazoparib exposure, C\u003csub\u003eavg,t\u003c/sub\u003e, was associated with a higher risk of Grade\u0026thinsp;\u0026ge;\u0026thinsp;3 anemia, thrombocytopenia, and neutropenia. Additionally, among the other baseline factors, we observed that higher risk of all tested safety endpoints was associated with lower baseline hemoglobin. In addition, higher risk of anemia was associated with lower baseline body weight and higher baseline lactate dehydrogenase. Higher risk of neutropenia was associated with lower baseline absolute neutrophil count and lower baseline body weight. These findings support the proposed dose modification algorithm as an effective approach for management of AEs.\u003c/p\u003e","manuscriptTitle":"Exposure-Safety Analyses of Talazoparib in Combination with Enzalutamide in Patients with Metastatic Castration-Resistant Prostate Cancer (mCRPC) in the TALAPRO-2 Trial","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-08 06:21:27","doi":"10.21203/rs.3.rs-6915587/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-08-04T10:31:38+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-24T09:08:41+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-21T14:39:30+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-07T13:41:03+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"211942304594591089490303586839646471353","date":"2025-07-06T10:33:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"121596554626256638966791330708322631383","date":"2025-07-04T07:49:00+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"276531206543520086995525610148574974351","date":"2025-07-03T13:03:33+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-03T12:55:16+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-06-18T04:16:56+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-06-18T04:15:34+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Pharmacokinetics and Pharmacodynamics","date":"2025-06-17T14:50:01+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-pharmacokinetics-and-pharmacodynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jopa","sideBox":"Learn more about [Journal of Pharmacokinetics and Pharmacodynamics](http://link.springer.com/journal/10928)","snPcode":"10928","submissionUrl":"https://submission.nature.com/new-submission/10928/3","title":"Journal of Pharmacokinetics and Pharmacodynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"dab58871-f19b-404b-b8cb-72e76823c338","owner":[],"postedDate":"July 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-04-23T19:38:36+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-08 06:21:27","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6915587","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6915587","identity":"rs-6915587","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}