Literature DB >> 34026638

Population-Based Study of Docetaxel or Abiraterone Effectiveness and Predictive Markers of Progression Free Survival in Metastatic Castration-Sensitive Prostate Cancer.

Juan Briones1, Maira Khan1, Amanjot K Sidhu1, Liying Zhang1, Martin Smoragiewicz1,2, Urban Emmenegger1,2,3,4.   

Abstract

BACKGROUND: Both Docetaxel (DOC) and Abiraterone (ABI) improve the survival of men with metastatic, castration sensitive prostate cancer (mCSPC). However, the outcome among mCSPC patients is highly variable, while there is a lack of predictive markers of therapeutic benefit. Furthermore, there is limited data on the comparative real-world effectiveness of adding DOC or ABI to androgen deprivation therapy (ADT).
METHODS: We conducted a retrospective analysis of 121 mCSPC patients treated at Odette Cancer Centre (Toronto, ON, Canada) between Dec 2014 and Mar 2021 (DOC n = 79, ABI n = 42). The primary endpoint studied was progression free survival (PFS), defined as the interval from start of ADT to either (i) biochemical, radiological, or symptomatic progression, (ii) start of first-line systemic therapy for castration-resistant prostate cancer (CRPC), or (iii) death, whichever occurred first. To identify independent predictive factors for PFS in the entire cohort, a Cox proportional hazard model (stepwise selection) was applied. Overall survival (OS) was among secondary endpoints.
RESULTS: After a median follow-up of 39.6 and 25.1 months in the DOC and ABI cohorts, respectively, 79.7% of men in the DOC and 40.5% in the ABI group experienced a progression event. PFS favored the ABI cohort (p = 0.0038, log-rank test), with 78.0% (95%CI 66.4-91.8%) of ABI versus 67.1% (57.5-78.3%) of DOC patients being free of progression at 12 months. In univariate analysis superior PFS was significantly related to older age at diagnosis of mCSPC, metachronous metastatic presentation, low-volume (CHAARTED), and low-risk (LATITUDE) disease, ≥90% PSA decrease at 3 months (PSA90), and PSA nadir ≤0.2 at 6 months. Age (HR = 0.955), PSA90 (HR = 0.462), and LATITUDE risk stratification (HR = 1.965) remained significantly associated with PFS in multivariable analysis. OS at 12 months was 98.7% (96.3-100%) and 92.7% (85.0-100%) in the DOC and ABI groups (p = 0.97), respectively.
CONCLUSIONS: In this real-world group of men undergoing treatment intensification with DOC or ABI for mCSPC, we did not find a significant difference in OS, but PFS was favoring ABI. Age at diagnosis of mCSPC, PSA90 at 3 months and LATITUDE risk classification are predictive factors of PFS in men with mCSPC.
Copyright © 2021 Briones, Khan, Sidhu, Zhang, Smoragiewicz and Emmenegger.

Entities:  

Keywords:  abiraterone (AA); docetaxel (DOC); metastatic castration sensitive prostate cancer (mCSPC); real-world effectiveness; retrospective analysis

Year:  2021        PMID: 34026638      PMCID: PMC8138065          DOI: 10.3389/fonc.2021.658331

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


Introduction

In developing and developed countries, the age-adjusted incidence of prostate cancer has risen with time (1). Currently, between 4 and 8% of North American men diagnosed with prostate cancer present with de novo metastatic disease (2), and approximately 10–15% develop distant metastases after local therapy with curative intent (3). Hence, there is a significant number of prostate cancer patients who ultimately will die of metastatic disease. The contemporary standard of care for metastatic castration-sensitive prostate cancer (mCSPC) comprises androgen deprivation therapy (ADT) combined with either second generation androgen receptor signaling inhibitors (ARSIs) such as Abiraterone (ABI) (4, 5), Enzalutamide (6, 7) or Apalutamide (8), or with Docetaxel (DOC) chemotherapy (9–11). Moreover, local radiotherapy prolongs overall survival (OS) in low volume mCSPC (12, 13). Numerically, all of these interventions improved median overall survival (OS) in a clinically meaningful way compared to ADT alone with hazard ratios (HRs) between 0.61 and 0.88 (14). With the availability of such a broad therapeutic arsenal consisting of agents with different toxicity profiles, clinicians can choose the most suitable treatment option depending on associated comorbidities and burden as well as distribution of disease (15, 16). Nonetheless, the rapid therapeutic advances over the last few years have also created challenges. First of all, there is no definite data on the comparative efficacy of the varied treatment modalities. While an opportunistic comparison of men recruited simultaneously for the ADT + ABI and ADT + DOC arms of the STAMPEDE trial (arms G and C, respectively) suggests a similar OS benefit, ARSIs appear to be the preferred treatment option in meta-analyses compared to DOC when applying surface under the cumulative ranking analysis (17–19). On the other hand, it is worth noting that DOC is more cost-effective than ABI (20–22). Secondly, there are no validated predictive (bio)markers of response to ARSIs or DOC (23). Thirdly, the clinical studies differed with respect to the eligibility criteria used, resulting in study cohorts with varying risk profiles, be it related to high versus low volume disease as defined in the CHAARTED study, high risk disease as outlined in the LATITUDE trial, or recurrent versus de novo mCSPC (4, 9, 24). As for the CHAARTED high volume and LATITUDE high risk definitions, they are in excellent but not perfect agreement, and both predict worse outcome (25–27). Finally, numerous prostate-specific antigen (PSA) based response parameters are associated with oncological outcome [e.g., absolute PSA nadir of ≤0.2 ng/ml, ≥50 or ≥90% PSA response (PSA50 and PSA90, respectively), and median time to PSA nadir], but they are not helpful for the initial treatment decision between DOC and ARSIs (28–30). Based on the above, we decided to study the performance of ABI and DOC under real-world conditions when added to ADT for the treatment of mCSPC to compare the oncological activity of these drugs and to identify predictive markers of response.

Patients and Methods

Patient Selection and Treatment Details

This retrospective study collected data from 121 mCSPC patients treated at Odette Cancer Centre (Toronto, ON, Canada) between December 2014 and March 2021. Patient and treatment characteristics were extracted from SunnyCare (in-house electronic health information system). Eligible patients had mCSPC based on computed tomography (CT), bone scan, or both, and had to be on treatment with ADT with documented castrate testosterone (≤1.7 nmol/L). DOC or ABI were prescribed at the discretion of the treating oncologist. DOC became provincially available for mCSPC in the second half of 2014, whereas ABI was approved by Health Canada in February 2018 and was made available via access program shortly thereafter for men with de novo high-risk mCSPC as per LATITUDE criteria. The DOC regimen consisted of 75 mg/m2, initiated without prednisone, every 3 weeks for a maximum of six cycles. Patients were clinically assessed before each cycle of chemotherapy. Similarly, hematologic, hepatic, and renal functions as well as PSA were measured at baseline and before each cycle of chemotherapy. Thereafter, patients were usually evaluated every 3 months until progression of disease. Aside from baseline imaging, patients underwent repeat imaging at completion of DOC and every 6–12 months thereafter, or earlier as clinically indicated. ABI was given at a dose of 1,000 mg once daily (without food), combined with prednisone 5 mg once daily, and continued until either progression of disease or intolerance, whichever occurred first. Mostly, patients were assessed monthly for the first three months, and three-monthly thereafter. Routine bloodwork (including liver profile, creatinine, electrolytes, and PSA) was obtained biweekly for the first three months, and then every three months. Bone and CT scans were done at the treating physician’s discretion, typically ≤12 months after start of ABI and six-monthly thereafter. All study activities were approved by the Research Ethics Board of Sunnybrook Research Institute (Toronto, ON, Canada).

Endpoints

The predefined primary endpoint was progression free survival (PFS), defined as the interval from start of ADT to either (i) biochemical (applying the PCWG3 criteria (31)), radiological, or symptomatic progression, (ii) start of first-line systemic therapy for castration-resistant prostate cancer (CRPC), or (iii) death, whichever occurred first. Patients without progression event were censored at the last follow-up date or the data cutoff on March 15, 2021. Key secondary endpoints were OS, time to castration resistant prostate cancer (CRPC), and time to start of first line of systemic therapy for CRPC, all of those calculated from the start of ADT to the event of interest. PSA dynamics were also assessed as secondary endpoints, including the PSA nadir ≤0.2 ng/mL rate at 6 months as well as PSA50 and PSA90 response rates at 3 and 6 months.

Statistical Analysis

Patient and treatment characteristics of the DOC and ABI cohorts were compared using the Wilcoxon rank-sum non-parametric test for continuous variables or the Fisher exact test for categorical variables. PFS, OS, time to CRPC, and time to start of first line systemic therapy for CRPC were estimated by the Kaplan–Meier method, with log-rank test to compare the DOC versus ABI cohorts. To search for predictive factors of PFS in the total population (n = 121), we applied univariate and multivariable (i.e., backward stepwise selection procedure) Cox proportional hazard models, the latter adjusted for age and the Charlson Comorbidity Index (CCI). Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for each covariate. Natural log transformation was used for some variables to normalize the distribution. The generalized R2 was calculated based on the likelihood ratio statistic (LRT) for testing the global null hypothesis (32), using the formula of where LRT = −2logL(0) − [−2logL(p)], n = sample size used, logL(0) = log-likelihood for a null model with no covariates, and logL(p) = log-likelihood for the fitted model with p covariates. R2 (between 0 and 1) is larger when the covariates are more strongly associated with the dependent variable. Two-sided p-values <0.05 were considered statistically significant. Missing data was handled as real missing values, i.e., the complete data set was used since missing data was marginal (<5%). All analyses were conducted using Statistical Analysis Software (SAS version 9.4, Cary, NC) and R package (v3.6.1).

Results

Patient and Treatment Characteristics

A total of 121 patients met the eligibility criteria, of which 79 were treated with DOC and 42 received ABI. Patient characteristics are detailed in . While the patient cohorts were comparable overall, DOC patients were younger [mean age ± standard deviation (SD) 65.76 ± 8.25 versus 72.40 ± 7.92 years] and had a lower CCI (mean ± SD 8.52 ± 1.10 versus 9.55 ± 1.58).
Table 1

Patient and treatment characteristics.

Abiraterone(N = 42)Docetaxel(N = 79)p-value
Demographics
Age at diagnosis of mCSPC (years) <.0001
 Mean ± SD72.40 ± 7.9265.76 ± 8.25
 Median (Inter-quartiles)73.5 (68.0, 79.0)66.0 (60.0, 71.0)
 Min, Max50.0, 85.044.0, 90.0
Initial stage0.5536
 Localized17 (40.48%)27 (34.18%)
 Metastatic25 (59.52%)52 (65.82%)
Gleason score0.7240
 63 (7.89%)4 (5.56%)
 76 (15.79%)15 (20.83%)
 8–1029 (76.32%)53 (73.61%)
Local treatment0.4226
 No25 (59.52%)54 (68.35%)
 Yes17 (40.48%)25 (31.65%)
Prior neo/adjuvant ADT0.6212
 No33 (78.57%)66 (83.54%)
 Yes9 (21.43%)13 (16.46%)
Bone metastases0.2554
 No3 (7.14%)12 (15.19%)
 Yes39 (92.86%)67 (84.81%)
Lymph nodes metastases0.9597
 No20 (47.62%)38 (48.10%)
 Yes22 (52.38%)41 (51.90%)
Visceral metastases0.6493
 No32 (76.19%)63 (79.75%)
 Yes10 (23.81%)16 (20.25%)
CHAARTED criteria0.0866
 Low volume7 (16.67%)25 (31.65%)
 High volume35 (83.33%)54 (68.35%)
LATITUDE criteria0.1420
 Low risk9 (23.68%)30 (39.47%)
 High risk29 (76.32%)46 (60.53%)
Charlson Comorbidity Index <.0001
 Mean ± SD9.55 ± 1.588.52 ± 1.10
 Median (Inter-quartiles)9.0 (9.0, 10.0)9.0 (8.0, 9.0)
 Min, Max7.0, 16.06.0, 13.0
PSA at start of ADT for mCSPC0.4791
 Mean ± SD308.455 ± 797.506280.985 ± 718.502
 Median (Inter-quartiles)33.73 (7.24, 107.00)32.63 (11.68, 231.00)
 Min, Max1.78, 3761.000.13, 5000.00
Treatment information
No. of cycles of DOCNA
 1-5NA5 (6.33%)
 674 (93.67%)
Days from start of ADT to start of ABI/DOC0.7604
 Mean ± SD63.12 ± 39.4766.32 ± 62.12
 Median (Inter-quartiles)52.0 (35.0, 98.0)48.0 (37.0, 71.0)
 Min, Max2.0, 162.018.0, 437.0
Reason for treatment discontinuation 0.0119
 Disease progression6 (14.29%)1 (1.27%)
 Toxicity/adverse event2 (4.76%)4 (5.06%)
 Not applicable34 (80.95%)74 (93.67%)

ABI, abiraterone; ADT, androgen deprivation therapy; DOC, docetaxel; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen.

Patient and treatment characteristics. ABI, abiraterone; ADT, androgen deprivation therapy; DOC, docetaxel; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen. The median time from the start of ADT to initiation of either DOC or ABI was similar (48 days [interquartile range (IQR) 37,71] versus 52 days (35,98); p = 0.76). The majority of chemotherapy patients completed six cycles of DOC (74/79, 93.67%). Side effects accounted for DOC or ABI discontinuation in around 5% of patients each.

PSA-Based Outcome Parameters

The median PSA values at start of ADT were similar between both cohorts, 32.63 ng/ml (IQR 11.68,231.00) in patients treated with DOC and 33.73 ng/ml (7.24,107.00) in the ABI cohort ( ). While the majority of patients in both cohorts achieved a PSA decrease to well below 1 ng/ml, PSA nadir-based parameters favored ABI patients. On the other hand, there were no statistically significant differences between the two groups in terms of PSA50 and PSA90 response rates ( ).
Table 2

PSA-based outcome parameters.

Abiraterone(N = 42)Docetaxel(N = 79)p-value
PSA nadir 0.0007
 N2675
 Mean ± SD0.469 ± 1.8012.108 ± 4.609
 Median (Inter-quartiles)0.02 (0.02, 0.09)0.20 (0.02, 1.35)
 Min, Max0.02, 9.200.02, 24.59
PSA nadir categories 0.0061
 <0.222 (84.62%)37 (49.33%)
 0.2–4.03 (11.54%)26 (34.67%)
 >4.01 (3.85%)12 (16.00%)
PSA nadir ≤ 0.2 at 6 months 0.0155
 No15 (57.69%)62 (82.67%)
 Yes11 (42.31%)13 (17.33%)
Days from start of ADT to PSA nadir0.5733
 Mean ± SD232.88 ± 152.05225.91 ± 104.73
 Median (Inter-quartiles)172.5 (128.0, 338.0)204.0 (154.0, 299.0)
 Min, Max83.0, 736.035.0, 497.0
PSA at 3 months from start of ADT0.1985
 N4177
 Mean ± SD14.784 ± 46.3216.963 ± 13.217
 Median (Inter-quartiles)0.27 (0.10, 3.03)0.91 (0.20, 6.59)
 Min, Max0.02, 259.700.02, 61.98
PSA at 6 months from start of ADT0.3240
 N3973
 Mean ± SD6.492 ± 17.5053.867 ± 9.826
 Median (Inter-quartiles)0.20 (0.03, 1.00)0.30 (0.05, 2.49)
 Min, Max0.02, 74.930.02, 69.69
PSA50 at 3 months from start of ADT0.3400
 No3 (7.32%)2 (2.60%)
 Yes38 (92.68%)75 (97.40%)
PSA90 at 3 months from start of ADT0.6339
 No7 (17.07%)17 (22.08%)
 Yes34 (82.93%)60 (77.92%)
PSA50 at 6 months from start of ADT0.2774
 No2 (5.13%)1 (1.37%)
 Yes37 (94.87%)72 (98.63%)
PSA90 at 6 months from start of ADT0.4419
 No5 (12.82%)14 (19.18%)
 Yes34 (87.18%)59 (80.82%)

ADT, androgen deprivation therapy; PSA, prostate specific antigen.

PSA-based outcome parameters. ADT, androgen deprivation therapy; PSA, prostate specific antigen.

Progression Free Survival

After a median follow-up of 39.6 (IQR 26.9,47.2) and 25.1 (IQR 17.5, 30.9) months in the DOC and ABI cohorts, respectively, 79.7% of men in the DOC and 40.5% in the ABI group experienced a progression event ( ). PFS was triggered by biochemical progression in 71% of patients in the DOC group and in 80% of men in the ABI group. The remaining events were triggered by radiological changes. The actuarial median PFS was 18.5 months (95%CI 12.6–23.7) in the DOC cohort, and 32.0 months (95%CI 23.1–48.7) in the ABI cohort. While neither the median PSA nor the median radiological PFS was reached in men undergoing ABI therapy, the according medians were 24.2 and 26.8 months in the DOC group. Overall, the PFS analysis favored ABI (p = 0.0038).
Figure 1

Progression Free Survival (PFS) Analysis. PFS analysis in patients undergoing abiraterone versus docetaxel therapy until month 48 revealed superior outcome in abiraterone patients (log-rank test, p = 0.0038).

Progression Free Survival (PFS) Analysis. PFS analysis in patients undergoing abiraterone versus docetaxel therapy until month 48 revealed superior outcome in abiraterone patients (log-rank test, p = 0.0038).

Predictive Factors of Progression Free Survival

Univariate analysis of the entire study cohort ( ) identified six factors significantly related to PFS. Older age at diagnosis of mCSPC (HR = 0.969), PSA90 at 3 months (HR = 0.472), and PSA nadir ≤0.2 at 6 months (HR = 0.524) translated to better outcome, whereas PFS was shorter in men with high-risk disease features according to the LATITUDE criteria (HR = 1.653), high-volume disease as per CHAARTED criteria (HR = 1.722), and de novo metastatic disease (HR = 1.737). To account for significant differences regarding age and comorbidities in the ABI versus DOC cohorts ( ), the final multivariable model ( ) was adjusted for age and CCI. It revealed three factors that remained significant: age at diagnosis of mCSPC (HR = 0.955), PSA90 at 3 months (HR = 0.462), and the LATITUDE risk classification (HR = 1.965).
Table 3

Predictive factors of progression-free survival: univariate analysis.

Predictive factorsP-valueHR95% CI of HRR2 (%)
Age at diagnosis of mCSPC (years) 0.0246 0.969 0.942 0.996 4.06
Initial stage (metastatic vs. localized) 0.0256 1.737 1.070 2.822 4.32
Gleason score ≥8 (yes vs. no)0.18431.4770.8312.6251.71
Visceral metastasis (yes vs. no)0.50680.8260.4701.4520.38
CHAARTED criteria (high vs. low volume) 0.0439 1.722 1.015 2.923 3.61
LATITUDE criteria (high vs. low risk) 0.0496 1.653 1.001 2.729 3.53
Charlson Comorbidity Index ≥9 (yes vs. no)0.68460.9120.5861.4210.14
Days from start of ADT to start of ABI or DOC (log)0.78221.0460.7591.4430.06
PSA at start of ADT (log)0.36701.0490.9461.1640.67
PSA50 at 3 months from start of ADT (yes vs. no)0.29140.5790.2091.5990.81
PSA90 at 3 months from start of ADT (yes vs. no) 0.0037 0.472 0.285 0.784 6.13
PSA nadir ≤0.2 at 6 months (yes vs. no) 0.0437 0.524 0.280 0.982 4.50

ABI, abiraterone; ADT, androgen deprivation therapy; DOC, docetaxel; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen.

Table 4

Predictive factors of progression-free survival: multivariable analysis, adjusted for age and Charlson Comorbidity Index.

Multivariable ModelP-valueHR95% CI of HRR2 (%)
Age at diagnosis of mCSPC (years) 0.0253 0.955 0.918 0.994 15.80
Charlson Comorbidity Index ≥9 (yes vs. no)0.10661.6790.8953.150
LATITUDE criteria (high vs. low risk) 0.0116 1.965 1.163 3.320
PSA90 at 3 months from start of ADT (yes vs. no) 0.0050 0.462 0.270 0.792

ADT, androgen deprivation therapy; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen.

Predictive factors of progression-free survival: univariate analysis. ABI, abiraterone; ADT, androgen deprivation therapy; DOC, docetaxel; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen. Predictive factors of progression-free survival: multivariable analysis, adjusted for age and Charlson Comorbidity Index. ADT, androgen deprivation therapy; mCSPC, metastatic castration-sensitive prostate cancer; PSA, prostate specific antigen.

Secondary Endpoints

While the actuarial median OS was not reached in the ABI cohort, it was 57.5 months (95%CI 40.5–62.5) in the DOC group (p = 0.97). OS at 12 months was 98.7% (95%CI 96.3–100%) and 92.7% (85.0–100%) in the DOC and ABI groups, respectively ( ). In terms of time to CRPC, there was a statistically significant difference between the treatment cohorts (p < 0.0001); the actuarial median time to CRPC was 18.6 months (95%CI 12.6–25.1) in the DOC group and not reached in the ABI group ( ). The actuarial median time to first line therapy for CRPC was 20.6 months (95%CI, 14.6–28.1) in the DOC group and not reached in patients who received ABI, statistically favoring ABI (p = 0.0086).
Figure 2

Overall Survival (OS) Analysis. Comparing OS in patients treated with abiraterone versus docetaxel using the log-rank test did not find a significant OS difference between groups (p = 0.9687). Patients alive or lost-to-follow-up were censored.

Figure 3

Time to Castration-Resistant Prostate Cancer (CRPC) Analysis. There was a highly significant difference in the time to CRPC between the abiraterone and docetaxel treatment groups (log-rank test, p < 0.0001).

Overall Survival (OS) Analysis. Comparing OS in patients treated with abiraterone versus docetaxel using the log-rank test did not find a significant OS difference between groups (p = 0.9687). Patients alive or lost-to-follow-up were censored. Time to Castration-Resistant Prostate Cancer (CRPC) Analysis. There was a highly significant difference in the time to CRPC between the abiraterone and docetaxel treatment groups (log-rank test, p < 0.0001).

Discussion

In our retrospective single-center cohort study, we found mCSPC patients treated with DOC to be younger, having less comorbidities, and experiencing shorter PFS compared to men undergoing ABI therapy. Similarly, the time to first line systemic therapy for CRPC was shorter in the DOC group. Since PFS and the diagnosis of CRPC were triggered by biochemical progression in the majority of patients, it is not unexpected that these outcome measures were favored by ABI over DOC, owing to the androgen synthesis inhibitory activity of ABI. However, there was no significant difference in OS between the two treatment modalities. As such our population-based results confirm the findings of the opportunistic comparison between the DOC and ABI arms of the STAMPEDE trial (arms C and G, respectively) (17). Our study also documents the feasibility and effectiveness of both DOC and ABI under real-world conditions. In fact, 93.7% of our patients completed six cycles of DOC, and only approximately 5% of patients stopped either DOC or ABI because of adverse effects. With respect to DOC effectiveness, our DOC cohort was comparable to the CHAARTED population of men undergoing chemohormonal therapy regarding median age (65.76 versus 64 years) and rate of high volume disease (68.35 versus 66.2%), de novo metastatic presentation (65.82 versus 72.8%), visceral metastasis (20.25 versus 14.4%), and Gleason score 7 or higher disease (94.4 versus 94.1%) (24). The median OS was 57.6 months in CHAARTED and 57.5 months in our group of patients after a median follow-up of 39.6 months. Furthermore, the median time to CRPC was 18.6 (95%CI 12.6–25.1) and 20.2 (17.2–23.6) months in our cohort versus the experimental arm of CHAARTED, respectively (24). On the contrary, Lavoie et al. described inferior outcomes in their population-based series of 156 patients compared to our findings (33). However, their rate of high-volume disease was higher (79.5 versus 68.35%); fewer patients finished six cycles of DOC (81 versus 93.7%), and more men discontinued DOC because of toxicities (10 versus 5%). With respect to ABI, our cohort was older compared to LATITUDE AND STAMPEDE-G, and situated between these two clinical trial populations in terms of risk factors such as LATITUDE high-risk and CHAARTED high-volume disease, de novo presentation, and rate of visceral metastasis. Although the relatively short median follow-up of 25.1 months of our patients precludes a definite comparison with LATITUDE and STAMPEDE-G, it is reassuring that 80.4% of our patients were alive at 2 years. For the identification of predictive factors of clinical benefit, we focused on PFS as the primary endpoint in the entire study cohort. LATITUDE low-risk disease, achieving a PSA90 at 3 months, and older age at diagnosis of mCSPC were found to be independently associated with longer PFS. Interestingly, CHAARTED low-volume disease at baseline did not result in prolonged PFS in multivariable analysis. The LATITUDE risk definition might have better predictive potential because it incorporates not only tumor burden but also de novo presentation as factors of worse outcome (34). Deep PSA responses have been associated with superior outcome in men undergoing chemohormonal therapy or ABI combined with ADT for mCSPC (28, 30). Similarly, in our cohort PSA90 at 3 months was an independent predictor of superior PFS. With longer follow-up, we will be able to use our dataset for a predictive factor analysis using OS as the primary endpoint. In the future, predictive clinical parameters such as the ones identified in our analysis might be used in conjunction with emerging molecular markers for therapeutic decisions. SPOP mutations appear to identify a group of mCPSC patients with excellent response to ADT alone (35). Conversely, Harshman et al. showed that elevated IL-8 levels predict shorter time to CRPC and OS independent of DOC administration, tumor burden, and recurrent versus de novo metastatic presentation, using baseline serum samples from CHAARTED (36). Luminal B subtype mCSPC was found to be associated with superior OS in men undergoing chemohormonal therapy compared to ADT alone, whereas men with basal subtype did not benefit from adding DOC (37). Combining ADT with apalutamide (and potentially other ARSIs) might be particularly needed in mCSPC with a high DECIPHER® genomic classifier score, low androgen receptor activity, and/or basal phenotype (38). The presence of germline DNA damage repair alterations predicts early progression from de novo mCSPC to mCRPC, yet such patients might be amenable to treatment with poly (ADP-ribose) polymerase inhibitors (39). Finally, deep tumor sequencing is expected to aid further in the precise molecular classification of mCSPC for therapeutic decision making (40–42). Some limitations regarding our analyses are worth mentioning, including the retrospective data collection and limited sample size. Furthermore, the single institution nature of our study could affect the external validation of our findings, as could differences between the treatment cohorts in terms of age, comorbidities and time of follow-up among others. Regarding the latter, the relatively short median follow-up in the ABI arm is explained by the only recent availability in Canada of ABI for mCSPC. Furthermore, imaging was timed according to treating physicians’ discretion, which could impact the assessment of PFS. To sum up, the findings presented herein support the feasibility and effectiveness of combining DOC or ABI with ADT for men with mCSPC under real-world conditions. The presence of high-risk mCSPC as per LATITUDE criteria, lack of a PSA90 at 3 months, and younger age at diagnosis of mCPSC predict shorter PFS and as such may identify a cohort of patients in need for further refinement of the initial management.

Data Availability Statement

The raw, de-identification data supporting the conclusions of this article will be made available by the authors without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the Research Ethics Board of Sunnybrook Research Institute. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

JB and UE conceived and designed the study. JB, MK, and AS collected and assembled the data. LZ performed the statistical analysis. JB, MS, and UE analyzed and interpreted the data. JB and UE wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This study was made possible by support from the Joseph and Silvana Melara Cancer Research Fund (Toronto, ON, Canada) to UE.

Conflict of Interest

UE has received honoraria from Janssen Inc. Canada for consulting and educational activities. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  38 in total

1.  Trial Design and Objectives for Castration-Resistant Prostate Cancer: Updated Recommendations From the Prostate Cancer Clinical Trials Working Group 3.

Authors:  Howard I Scher; Michael J Morris; Walter M Stadler; Celestia Higano; Ethan Basch; Karim Fizazi; Emmanuel S Antonarakis; Tomasz M Beer; Michael A Carducci; Kim N Chi; Paul G Corn; Johann S de Bono; Robert Dreicer; Daniel J George; Elisabeth I Heath; Maha Hussain; Wm Kevin Kelly; Glenn Liu; Christopher Logothetis; David Nanus; Mark N Stein; Dana E Rathkopf; Susan F Slovin; Charles J Ryan; Oliver Sartor; Eric J Small; Matthew Raymond Smith; Cora N Sternberg; Mary-Ellen Taplin; George Wilding; Peter S Nelson; Lawrence H Schwartz; Susan Halabi; Philip W Kantoff; Andrew J Armstrong
Journal:  J Clin Oncol       Date:  2016-02-22       Impact factor: 44.544

2.  Metastatic burden in newly diagnosed hormone-naive metastatic prostate cancer: Comparing definitions of CHAARTED and LATITUDE trial.

Authors:  Sarah Buelens; Filip Poelaert; Bert Dhondt; Valérie Fonteyne; Pieter De Visschere; Piet Ost; Sofie Verbeke; Geert Villeirs; Kathia De Man; Sylvie Rottey; Karel Decaestecker; Nicolaas Lumen
Journal:  Urol Oncol       Date:  2018-01-12       Impact factor: 3.498

Review 3.  Predicting response to hormonal therapy and survival in men with hormone sensitive metastatic prostate cancer.

Authors:  Petros D Grivas; Diane M Robins; Maha Hussain
Journal:  Crit Rev Oncol Hematol       Date:  2012-06-16       Impact factor: 6.312

4.  Association of SPOP Mutations with Outcomes in Men with De Novo Metastatic Castration-sensitive Prostate Cancer.

Authors:  Umang Swami; Pedro Isaacsson Velho; Roberto Nussenzveig; Jonathan Chipman; Victor Sacristan Santos; Stephanie Erickson; Divya Dharmaraj; Ajjai Shivaram Alva; Ulka N Vaishampayan; John Esther; Andrew W Hahn; Benjamin Louis Maughan; Emmanuel S Antonarakis; Neeraj Agarwal
Journal:  Eur Urol       Date:  2020-07-02       Impact factor: 20.096

5.  Comparison of Abiraterone Acetate and Docetaxel with Androgen Deprivation Therapy in High-risk and Metastatic Hormone-naïve Prostate Cancer: A Systematic Review and Network Meta-analysis.

Authors:  Christopher J D Wallis; Zachary Klaassen; Bimal Bhindi; Hanan Goldberg; Thenappan Chandrasekar; Ann M Farrell; Stephen A Boorjian; Girish S Kulkarni; Robert Jeffrey Karnes; Raj Satkunasivam
Journal:  Eur Urol       Date:  2017-10-14       Impact factor: 20.096

6.  Cost-effectiveness of abiraterone versus docetaxel in the treatment of metastatic hormone naïve prostate cancer.

Authors:  Chethan Ramamurthy; Elizabeth A Handorf; Andres F Correa; J Robert Beck; Daniel M Geynisman
Journal:  Urol Oncol       Date:  2019-08-06       Impact factor: 3.498

7.  Initial Management of Noncastrate Advanced, Recurrent, or Metastatic Prostate Cancer: ASCO Guideline Update.

Authors:  Katherine S Virgo; R Bryan Rumble; Ronald de Wit; David S Mendelson; Thomas J Smith; Mary-Ellen Taplin; James L Wade; Charles L Bennett; Howard I Scher; Paul L Nguyen; Martin Gleave; Scott C Morgan; Andrew Loblaw; Sean Sachdev; David L Graham; Neha Vapiwala; Amy M Sion; Virgil H Simons; James Talcott
Journal:  J Clin Oncol       Date:  2021-01-26       Impact factor: 44.544

Review 8.  Navigating systemic therapy for metastatic castration-naïve prostate cancer.

Authors:  E M Kwan; I A Thangasamy; J Teh; O Alghazo; N J Sathianathen; N Lawrentschuk; A A Azad
Journal:  World J Urol       Date:  2020-01-02       Impact factor: 4.226

9.  Cost-effectiveness analysis of abiraterone, docetaxel or placebo plus androgen deprivation therapy for hormone-sensitive advanced prostate cancer.

Authors:  Pedro Nazareth Aguiar; Pui San Tan; Sarah Simko; Carmelia Maria Noia Barreto; Bárbara de Souza Gutierres; Auro Del Giglio; Gilberto de Lima Lopes
Journal:  Einstein (Sao Paulo)       Date:  2019-03-07

Review 10.  Metastatic Hormone-sensitive Prostate Cancer: Current Perspective on the Evolving Therapeutic Landscape.

Authors:  Mary E Hall; Heather L Huelster; Amy N Luckenbaugh; Aaron A Laviana; Kirk A Keegan; Zachary Klaassen; Kelvin A Moses; Christopher J D Wallis
Journal:  Onco Targets Ther       Date:  2020-04-29       Impact factor: 4.147

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  4 in total

1.  Real-world survival outcomes of adding docetaxel or abiraterone in patients with high-volume metastatic castration-sensitive prostate cancer: historically controlled, propensity score matched comparison with androgen deprivation therapy.

Authors:  Shintaro Narita; Takahiro Kimura; Shingo Hatakeyama; Kenichi Hata; Takafumi Yanagisawa; Shinya Maita; Shuji Chiba; Hiromi Sato; Soki Kashima; Atsushi Koizumi; Ryohei Yamamoto; Koichiro Takayama; Katsumi Okane; Toshiya Ishida; Yohei Horikawa; Teruaki Kumazawa; Jiro Shimoda; Takehiro Suzuki; Chikara Ohyama; Shin Egawa; Kyoko Nomura; Tomonori Habuchi
Journal:  World J Urol       Date:  2022-02-26       Impact factor: 4.226

2.  Real-world outcomes and risk stratification in patients with metastatic castration-sensitive prostate cancer treated with upfront abiraterone acetate and docetaxel.

Authors:  Shintaro Narita; Takahiro Kimura; Shingo Hatakeyama; Kenichi Hata; Takafumi Yanagisawa; Shinya Maita; Shuji Chiba; Hiromi Sato; Soki Kashima; Atsushi Koizumi; Ryohei Yamamoto; Koichiro Takayama; Katsumi Okane; Toshiya Ishida; Yohei Horikawa; Teruaki Kumazawa; Jiro Shimoda; Takehiro Suzuki; Chikara Ohyama; Shin Egawa; Tomonori Habuchi
Journal:  Int J Clin Oncol       Date:  2022-06-24       Impact factor: 3.850

3.  Effect of Chemotherapy on Overall Survival in Contemporary Metastatic Prostate Cancer Patients.

Authors:  Benedikt Hoeh; Christoph Würnschimmel; Rocco S Flammia; Benedikt Horlemann; Gabriele Sorce; Francesco Chierigo; Zhe Tian; Fred Saad; Markus Graefen; Michele Gallucci; Alberto Briganti; Carlo Terrone; Shahrokh F Shariat; Derya Tilki; Luis A Kluth; Philipp Mandel; Felix K H Chun; Pierre I Karakiewicz
Journal:  Front Oncol       Date:  2021-11-23       Impact factor: 6.244

4.  Presence of CD133-positive circulating tumor cells predicts worse progression-free survival in patients with metastatic castration-sensitive prostate cancer.

Authors:  Yunjie Yang; Zheng Liu; Qifeng Wang; Kun Chang; Junyu Zhang; Dingwei Ye; Yunyi Kong; Bo Dai
Journal:  Int J Urol       Date:  2022-01-31       Impact factor: 2.896

  4 in total

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