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. 2023 Nov 22;14:1290990. doi: 10.3389/fphar.2023.1290990

Comparing efficacy of first-line treatment of metastatic castration resistant prostate cancer: a network meta-analysis of randomized controlled trials

Yang Liu 1,, Xianzhong Deng 2,, Zhi Wen 1, Jing Huang 1, Chongjian Wang 1, Caixia Chen 1, Erhao Bao 1, Jiahao Wang 1, Xuesong Yang 1,*
PMCID: PMC10702556  PMID: 38074136

Abstract

Background: Metastatic castration-resistant prostate cancer (mCRPC) presents significant treatment selection challenges due to limited therapeutic options. This study aimed to comprehensively assess the efficacy of multiple treatment regimens for mCRPC through a network meta-analysis (NMA) of randomized controlled trials (RCTs).

Methods: A systematically comprehensive search for randomized controlled trials (RCTs) was performed in Pubmed, Cochrane Library, Embase, and Web of Science databases. The network meta-analysis was employed to compare the overall survival (OS), progression-free survival (PFS), and radiographic progression-free survival (rPFS) among different interventions at specific time points. This study was prospectively registered with PROSPERO (CRD42023422823).

Results: A total of 29 RCTs, involving 12,706 patients and investigating 16 interventions, were included in the analysis. Chempretarget ((capivasertib or cabozantinib) + docetaxel + prednisone)) and PARP (Olaparib or rucaparib) inhibitors emerged as interventions that significantly improved survival outcomes compared to first-line treatment in mCRPC patients. Chempretarget demonstrated superior overall survival starting from the 12th month, while PARP inhibitors showed a clear advantage in progression-free survival within the 3–18 months range. Notably, chempre ((Docetaxel or Cabazitaxel) + prednisone) exhibited favorable performance in radiographic progression-free survival during the 3–18 month period.

Conclusion: Our findings underscore the efficacy of chempretarget, PARP inhibitors, and chempre in enhancing survival outcomes for mCRPC patients. Further head-to-head comparisons are warranted to validate these results. These findings carry important implications for treatment decision-making in mCRPC and may guide the development of more effective therapeutic strategies.

Keywords: prostate cancer, castration-resistant prostate cancer, metastatic, PARP, targeted therapy, meta-analysis

Introduction

Prostate cancer ranks among the most prevalent malignancies in men, second only to lung cancer. Over the period from 2014 to 2019, the United States is projected to witness an annual increase of 3% in the incidence rate of prostate cancer, leading to the emergence of 99,000 new cases annually (Siegel et al., 2023). Castration-resistant prostate cancer (CRPC) refers to the radiological or biochemical progression of prostate cancer despite standard androgen deprivation therapy (ADT) when serum testosterone levels have reached castration levels (testosterone levels less than 50 ng/dl or 1.7 nmol/L) (Zarour and Alumkal, 2010/5). Median survival for CRPC stands at approximately 14 months, with a range of 9–30 months (Kirby et al., 2011/11). Furthermore, around 2 years after the onset of CRPC, 15%–33% of patients will experience metastasis, leading to a significant escalation in mortality rates (Hirst et al., 2012/12; Smith et al., 2005/5).

Given the aggressive nature of metastatic castration-resistant prostate cancer, the treatment options available for this disease remain limited. Recently, numerous well-designed RCTs have investigated multiple treatment approaches with the aim of enhancing outcomes for patients with mCRPC. These approaches encompass castration therapy, Poly ADP Ribose Polymerase (PARP) inhibitors, programmed cell death protein 1 (PD-1) inhibitors, and chemotherapy. The findings have demonstrated that castration therapy, including PARP inhibitors have shown encouraging anticancer activity (Teyssonneau et al., 2021; Bieńkowski et al., 2022). PD-1 inhibitors and chemotherapy have also exhibited positive effects on survival (Nuhn et al., 2019; Merseburger et al., 2021).

Given the diverse range of treatment options available for metastatic castration-resistant prostate cancer, it is crucial to assess their relative efficacy and identify the optimal treatment strategy. Although previous meta-analyses have examined comparisons of specific treatment types, such as between targeted drugs or between PARP inhibitors (Poorthuis et al., 2017; Wang et al., 2018; Rizzo et al., 2022), as far as we are aware, no study has comprehensively evaluated combined or isolated comparisons across multiple treatment modalities.

Therefore, this study aimed to conduct a network meta-analysis of RCTs to evaluate the efficacy of different treatment regimens for metastatic castration-resistant prostate cancer. The results of this analysis will enhance our understanding of the relative effectiveness of these treatments and provide valuable information to guide clinicians and patients in making informed decisions about the most appropriate treatment.

Materials and methods

The present meta-analysis adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (Shamseer et al., 2015) and was prospectively registered with PROSPERO (ID: CRD 42023422823).

Literature search strategy

We conducted a comprehensive search in multiple databases including Cochrane Library (CENTRAL), PubMed, Web of science and Embase. The search spanned from the inception of these databases to 30 May 2023, and utilized specific MeSH terms as follows: “castration resistant prostate cancer”, “mcrpc”, “castration-resistant prostate cancer”, “carcinoma”, “tumor”, “Docetaxel”, “Cabazitaxel”, “Mitoxantrone”, “Platinum-based chemotherapy”, “Abirateone”, “Enzalutamide”, “Apalutamide”, “PARP”, “Olaparib”, “Niraparib”, “Rucaparib”, “Veliparib”, “Talazoparib”, “PD-1”, “pembrolizumab”, “CTLA4”, “ipilimumab”, “Ipatasertib”, and “random”. Furthermore, we performed a manual search and review of relevant references to ensure comprehensive coverage and minimize the risk of omitting any relevant studies. Only studies published in English were included in the reference list.

Study selection

The PICOS approach was used to define the inclusion criteria (Siegel et al., 2023). The mCRPC patient population (Zarour and Alumkal, 2010/5); experience any systemic treatment within 6 months (Kirby et al., 2011/11); Patients were treated with the following drugs alone or in combination: Abiraterone, Enzalutamide, olaparib, Docetaxel, Cabazitaxel, DCVAC, ipatasertib, carboplatin, capivasertib, cabozantinib, ipilimumab, atezolizumab, tivantinib, rucaparib, buparlisib, Orteronel (Hirst et al., 2012/12); one or more of the following outcomes:OS, PFS or rPFS; and (Smith et al., 2005/5) RCTs.

Following are the exclusion criteria (Siegel et al., 2023):observational studies (Zarour and Alumkal, 2010/5); conference abstract, review or letters observational studies (Kirby et al., 2011/11);studies with unavailable data for analysis (Hirst et al., 2012/12);a comparative study between a class of drugs and (Smith et al., 2005/5) non-English literature.

Data extraction and quality assessment

For the included studies, two investigators (YL and DX) independently extracted the data. The Cochrane Risk of Bias 2.0 tool was utilized to assess the risk of bias for each randomized controlled trial (RCT), and any discrepancies were resolved through arbitration by a senior reviewer (YX). The following variables were recorded: first author’s name, country of study, publication year, number of patients, drug type, therapeutic drugs, median follow-up time, hazard ratios (HR) and 95% confidence intervals (CI) associated with progression-free survival (PFS), radiographic progression-free survival (rPFS) and overall survival (OS). Subsequently, Kaplan-Meier curves were analyzed using Getdata 2.26 to extract the data pertaining to PFS, rPFS and OS at 6, 12, 18, 24, 30, and 36 months.

Data analysis

To compare multiple treatments for progression-free survival (PFS), radiographic progression-free survival (rPFS) and overall survival (OS) at each time point, a network meta-analysis (NMA) was conducted using Stata 15.1 software (StataSE, United States). The NMA allowed for both direct and indirect comparisons between treatments. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to evaluate the effects of treatments on PFS, rPFS and OS at each time point. Furthermore, treatment ranking was performed using the surface under the cumulative ranking curve (SUCRA) values. The significance of the effect size between any treatment pair was determined using the net-league table, also known as a matrix in algebra. Inconsistency tests and consistency tests were conducted to examine the presence of inconsistency in the results.

To generate Napierian logarithm odds ratios (lnOR) and standard errors of lnOR (selnOR) for each study, conventional meta-analyses were conducted using Stata 15.1 software. The resulting data, including lnOR and selnOR for OS, PFS and rPFS, were then input into Rstudio 4.1.2 and proceed the network meta-analysis (NMA).

If the I2 statistic was less than 50% and the p-value was greater than 0.01, a fixed-effect model was implemented. If the I2 statistic was between 50% and 75%, a random-effect model was applied. If the I2 statistic exceeded 75%, a Galbraith plot was used to identify and exclude any studies outside the outlined range. Markov-chain Monte Carlo (MCMC) simulations were utilized to obtain posterior distributions, with a burn-in of 20,000 iterations and 150,000 iterations of 4 each chain, with a thinning interval of 10 for each outcome. Brooks-Gelman-Rubin diagnostics and trace plots were employed to assess and visualize the convergence of the model over iterations. Matrices were also generated using Rstudio 4.1.2.

Results

Characteristics of the included studies

During the initial search, a total of 5,796 publications were identified. After removing duplicates and screening titles and abstracts, 1,078 studies were considered eligible for full review. Eventually, 29 studies (Fizazi et al., 2012; Kluetz et al., 2013; Rathkopf et al., 2014; Fizazi et al., 2015; Ryan et al., 2015; Saad et al., 2015; Beer et al., 2017; Bouman-Wammes et al., 2018; Clarke et al., 2018; Miller et al., 2018; Monk et al., 2018; Corn et al., 2019; de Bono et al., 2019; De Wit et al., 2019; Armstrong et al., 2020; De Bono et al., 2020; Fizazi et al., 2020; Hussain et al., 2020; Annala et al., 2021; Hedley Carr et al., 2021; Madan et al., 2021; Saad et al., 2021; Sternberg et al., 2021; Sweeney et al., 2021; Crabb et al., 2022; Powles et al., 2022; Vogelzang et al., 2022; Fizazi et al., 2023) were included in our analysis, as depicted in Figure 1. Among these studies, there were 29 RCTs involving a total of 12,706 patients and investigating 16 different interventions. The interventions encompassed castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, castratepreparp (Abiraterone or Enzalutamide + prednisone + olaparib), chempre (Docetaxel or Cabazitaxel + prednisone), chempre DCVAC (DCVAC + docetaxel + prednisone), castratepre400ipa (abiraterone + prednisone + 400 mg ipatasertib), chemprept (cabazitaxel or docetaxel + carboplatin + prednisone), chempretarget (capivasertib or cabozantinib + docetaxel + prednisone), chemprePD1 (ipilimumab + docetaxel + prednisone), castrateprepd1 (atezolizumab + enzalutamide + prednisone), target (cabozantinib), castratepre200ipa (abiraterone + prednisone + 200 mg ipatasertib), 2castratepre (Abiraterone and Enzalutamide), castratepretarget (ipatasertib or tivantinib + abiraterone + predisone) and parp (Olaparib or rucaparib) and targetpre (buparlisib or Orteronel + prednisone). A detailed description of the included studies can be found in Table 1. The reported median follow-up period ranged from 8.9 months to 54.8 months. The assessment of the risk of bias is presented in Figure 2.

FIGURE 1.

FIGURE 1

PRISMA flow diagram for the systematic review.

TABLE 1.

Characteristics of first-line systemic therapy for metastatic castration-resistant prostate cancer studies included in the network meta-analysis.

Author/year Age Treament Drug type Size Study type Follow-up (months) Outcomes
Carr2021 NA olaparib + abiraterone + predisone castratepreparp 25 RCT NA rPFS
NA abiraterone + predisone castratepre 21
Clarke2018 70 (65–75) olaparib + abiraterone + predisone castratepreparp 71 RCT 15.9 (8.1–25.5) OS,rPFS
67 (62–74) abiraterone + predisone castratepre 71 24.5 (8.1–27.6)
Crabb2022 NA capivasertib + docetaxel + predisone chempretarget 75 RCT 35 OS
NA docetaxel + predisone chempre 75 32
Sweeney2021 69 (47–93) ipatasertib + abiraterone + predisone castratepretarget 554 RCT 19 (0–33) rPFS,PFS
70 (44–90) abiraterone + predisone castratepre 547
66 (48–91) buparlisib + predisone targetpre 17
Bono20191 68.8 (7.2) abiraterone + predisone+200mgipatasertib castratepre200ipa 86 RCT NA OS,PFS,rPFS
67.6 (7.8) abiraterone + predisone castratepre 83
66.9 (8.5) abiraterone + predisone+400mgipatasertib castratepre400ipa 84
Madan2020 69 (54–80) cabozantinib + docetaxel + Prednisone chempretarget 13 RCT NA OS
69 (50–83) docetaxel + prednisone chempre 12
Monk2018 67 (43–84) tivantinib + abiraterone + predisone castratepretarget 52 RCT 8.9 (2.3–19.6) PFS
66.5 (48–85) abiraterone + predisone castratepre 26
Powles2022 NA atezolizumab + enzalutamide + prednisone castrateprepd1 380 RCT NA OS,PFS,rPFS
NA enzalutamide + prednisone castratepre 379
Voge2022 68 (46–89) DCVAC + docetaxel + predisone chempreDCVAC 787 RCT NA OS
69 (46–89) docetaxel + predisone chempre 395
Annala2020 67.5 (60.3–71.0) abiraterone + predisone castratepre 50 RCT NA OS
68.0 (59.0–73.0) Cabazitaxel + predisone chempre 45
Saad2021 71 (66–78) apalutamide + abiraterone + predisone 2castratepre 492 RCT 54·8 (51·5–58·4) OS,Rpfs
71 (65–77) abiraterone + predisone castratepre 490
67.7 (7.75) prednisone prednisone 71
69 (49–86) enzalutamide + predisone castratepre 64
Bono2019 70.0 (46–85) enzalutamide + prednisone castratepre 129 RCT 9.2 OS,PFS,rPFS
71.0 (45–88) cabazitaxel + predisone chempre 126
Bono2020 69 (47–91) Olaparib parp 256 RCT 13.2 OS,Rpfs
69 (49–87) abiraterone + predisone castratepre 131
Fizazi2020 69.0 (63.0–74.0) lpilimumab + docetaxel + predisone chemprePD1 399 RCT 50 (40.7, 72.0) OS
67.5 (62.0–72.5) docetaxel + predisone chempre 400
Fizazi2023 70 (45–90) rucaparib parp 270 RCT NA rPFS,PFS
71 (47–92) abiraterone + predisone castratepre 135
Hussain2020 NA abiraterone + predisone castratepre 162 RCT 21.9 OS,PFS
NA Olaparib parp 83
Sterberg2021 74 (70–88) abiraterone + predisone castratepre 69 RCT 9.2 OS,PFS,rPFS
76 (70–85) Cabazitaxel + predisone chempre 66
Bouman2018 69.2 (61–85) docetaxel + predisone + carboplatin chemprept 36 RCT NA OS,PFS
70.1 (60–84) docetaxel + predisone chempre 37
Corn2019 72 (67–76) cabazitaxel + carboplatin + predisone chemprept 81 RCT 31·0 (20·5–37·1) OS,PFS
66 (61–69) cabazitaxel + carboplatin chempre 79
Fizazi2015 69.5 (43–89) Orteronel + predisone targetpre 734 RCT 10.6 (0.2–29.5) OS,PFS
70 (48–87) prednisone prednisone 365
Kluetz2013 NA abiraterone + predisone castratepre 546 RCT NA OS
NA prednisone prednisone 542
Smith2016 69.5 (35–87) cabozantinib target 682 RCT NA OS,Rpfs
69 (43–89) prednisone prednisone 346
Fizazi2012 69 (42–95) abiraterone + predisone castratepre 797 RCT 20·2 (18·4–22·1) OS,PFS,rPFS
69 (39–90) prednisone prednisone 398
Beer20171 72 (43–93) enzalutamide + prednisone castratepre 872 RCT NA rPFS,PFS
71 (42–93) prednisone prednisone 845
Miller2018 70 (64–76.5) abiraterone + predisone castratepre 264 RCT NA OS,Rpfs
71 (64–77) prednisone prednisone 824
Rathkopf2014 71 (65–77) abiraterone + predisone castratepre 546 RCT 27.1 OS,PFS,rPFS
70 (63–76) prednisone prednisone 542
Ryan2015 NA abiraterone + predisone castratepre 546 RCT 49·2 (47·0–51·8) OS
NA prednisone prednisone 542
Armstrong2020 NA enzalutamide + prednisone castratepre 872 RCT 69 OS
NA prednisone predisone 845
Saad2015 71·0 (65·0–77·0) Orteronel + prednisone targetpre 781 RCT 20.7 (14·2–25·4) OS,Rpfs
72·0 (66·0–77·0) prednisone prednisone 779

OS: overall survival; PFS: progression free survival; rPFS: radiographic progression-free survival; RCT: randomized controlled trials.

FIGURE 2.

FIGURE 2

Risk of bias graph presented as percentage across all included studies.

OS at each time point

Among the 29 included articles, 18 provided data on overall survival (OS) outcomes. For this study, sufficient data were available at 3, 6, 12, 24, and 30 months to conduct the network meta-analysis (NMA). The pairwise comparison of treatment regimens for each OS time point is presented in Figure 3. Castratepre (Abiraterone or Enzalutamide + prednisone) was the most commonly used intervention, and chempre (Docetaxel or Cabazitaxel + prednisone) was the most frequently compared treatment. Considering the widespread clinical use of castratepre as the first-line standard treatment, it was chosen as the primary reference, while the intervention with the highest SUCRA ranking served as the secondary reference. Detailed results of direct and indirect comparisons of 16 interventions at each time point are shown in the Supplementary Table S1A–F.

FIGURE 3.

FIGURE 3

Network graphs of pairwise comparison of regimens on each time point of the overall survival; OS, overall survival; castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, castratepreparp (Abiraterone or Enzalutamide + prednisone + olaparib), chempre (Docetaxel or Cabazitaxel + prednisone), chempre DCVAC (DCVAC + docetaxel + prednisone), castratepre400ipa (abiraterone + prednisone + 400 mg ipatasertib), chemprept (cabazitaxel or docetaxel + carboplatin + prednisone), chempretarget (capivasertib or cabozantinib + docetaxel + prednisone), chemprePD1 (ipilimumab + docetaxel + prednisone), castrateprepd1 (atezolizumab + enzalutamide + prednisone), target (cabozantinib), castratepre200ipa (abiraterone + prednisone + 200 mg ipatasertib), 2castratepre (Abiraterone and Enzalutamide), and targetpre (buparlisib or Orteronel + prednisone).

At the 3rd month, castratepre400ipa showed significant superiority over castratepre (OR = 1.93, 95%CI: 1.02–3.63) and prednisone (OR = 2.53, 95%CI: 1.22–5.24), indicating its greater significance in the initial 3 months.

At the 6th month, no treatment demonstrated a significant advantage over castratepre.

At the 12th month, chempre (OR = 1.66, 95%CI: 1.08–2.58), chempretarget (OR = 2.88, 95%CI: 1.09–7.62), and chemprePD1 (OR = 2.14, 95%CI: 1.13–4.05) exhibited a significant increase in OS compared to castratepre. According to the SUCRA rankings, chempretarget ranked first, followed by chemprePD1.

At the 18th month, chempre (OR = 2.63, 95%CI: 1.71–4.04), chempreDCVAC (OR = 2.03, 95%CI: 1.16–3.56), chemprept (OR = 3.1, 95%CI: 1.54–6.22), chempretarget (OR = 5.43, 95%CI: 2.44–12.09), and chemprePD1 (OR = 3.82, 95%CI: 2.13–6.87) exhibited a significant increase in the OS rate compared to castratepre. According to the SUCRA rankings, chempretarget ranked first, followed by chemprePD1.

At the 24th month, castratepreparp (OR = 6.12, 95%CI: 2.14–17.52), chempre (OR = 3.04, 95%CI: 1.77–5.2), chempreDCVAC (OR = 2.74, 95%CI: 1.51–4.96), chemprept (OR = 2.89, 95%CI: 1.35–6.19), chempretarget (OR = 5.46, 95%CI: 2.41–12.35), chemprePD1 (OR = 4.91, 95%CI: 2.57–9.4), and castrateprepd1 (OR = 1.64, 95%CI: 1.16–2.32) showed a significant increase in the OS rate compared to castratepre. Castratepreparp ranked the highest in terms of SUCRA, while chempretarget ranked second.

At the 30th month, chempre (OR = 2.44, 95%CI: 1.05–5.66), chempreDCVAC (OR = 2.59, 95%CI: 1.08–6.22), chempretarget (OR = 5.14, 95%CI: 1.75–15.1), and chemprePD1 (OR = 3.93, 95%CI: 1.55–9.97) exhibited a significantly higher OS rate compared to castratepre. According to the SUCRA rankings, chempretarget achieved the best performance, followed by chemprePD1.

Regarding overall survival (OS), significant differences were observed between castratepre and chempre, chempretarget, chemprePD1, as well as chempreDCVAC from 12 to 30 months. Additionally, chempre, chempretarget, and chemprePD1 showed significant differences from 12 to 30 months, while chempreDCVAC exhibited significance from 18 to 30 months Table 2 provides a comprehensive summary of interventions with significant results compared to castratepre.

TABLE 2.

Overall survival for each time point for interventions that were significant compared to castratepre (shown as odds ratio and 95% confidence intervals).

Time point Control group castratepreparp chempre chempreDCVAC castratepre400ipa chemprept chempretarget chemprePD1 castrateprepd1 Target castratepre200ipa 2castratepre Targetpre
3 months castratepre × × × 1.93 (1.02; 3.63) × × × × - × × -
prednisone × × × 2.53 (1.22; 5.24) × × × × × × × ×
6 months castratepre × × × × × × × × - × × -
prednisone × × × × × × × ×
12 months castratepre × 1.66 (1.08; 2.58) × × × 2.88 (1.09; 7.62) 2.14 (1.13; 4.05) × - × × -
prednisone × × × × ×
18 months castratepre × 2.63 (1.71; 4.04) 2.03 (1.16; 3.56) - 3.10 (1.54; 6.22) 5.43 (2.44; 12.09) 3.82 (2.13; 6.87) × - - × -
prednisone × - × × - ×
24 months castratepre 6.12 (2.14; 17.52) 3.04 (1.77; 5.20) 2.74 (1.51; 4.96) - 2.89 (1.35; 6.19) 5.46 (2.41; 12.35) 4.91 (2.57; 9.40) 1.64 (1.16; 2.32) - - × -
prednisone - × - ×
30 months castratepre × 2.44 (1.05; 5.66) 2.59 (1.08; 6.22) - × 5.14 (1.75; 15.10) 3.93 (1.55; 9.97) - - - × -
prednisone - - - - ×

Castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, castratepreparp (Abiraterone or Enzalutamide + prednisone + olaparib), chempre (Docetaxel or Cabazitaxel + prednisone), chempre DCVAC (DCVAC + docetaxel + prednisone), castratepre400ipa (abiraterone + prednisone + 400 mg ipatasertib), chemprept (cabazitaxel or docetaxel + carboplatin + prednisone), chempretarget (capivasertib or cabozantinib + docetaxel + prednisone), chemprePD1 (ipilimumab + docetaxel + prednisone), castrateprepd1 (atezolizumab + enzalutamide + prednisone), target (cabozantinib), castratepre200ipa (abiraterone + prednisone + 200 mg ipatasertib), 2castratepre (Abiraterone and Enzalutamide), and targetpre (buparlisib or Orteronel + prednisone).

√: the treatment on the top is significant compared to the control group on the left; ×: the treatment on the top is not significant compared to the Control group on the left.

PFS at each time point

For progression-free survival (PFS), outcomes from 14 out of 29 articles were reported. Adequate data were available at 4 time points, namely 3, 6, 12, and 18 months, to conduct a network meta-analysis (NMA) for PFS. Figure 4 displays network graphs illustrating the pairwise comparison of regimens at each time point for PFS. Castratepre was the most frequently used intervention, and the most common comparisons were between chempre and castratepre, as well as between castratepre and castratepretarget. A detailed comparison of 16 interventions at each time point is presented in Supplementary Tables S2A–D.

FIGURE 4.

FIGURE 4

Network graphs of pairwise comparison of regimens on each time point of the Progression free survival; PFS, Progression free survival; castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, chemprept (cabazitaxel or docetaxel + carboplatin + prednisone), chempre (Docetaxel or Cabazitaxel + prednisone), castratepretarget (ipatasertib or tivantinib + abiraterone + predisone), parp (Olaparib or rucaparib), targetpre (buparlisib or Orteronel + prednisone).

At the 3rd month, there was a significant increase in PFS rates with chemprept (OR = 8.68, 95% CI: 4.09–18.4), chempre (OR = 3.92, 95% CI: 2.58–5.98), castratepretarget (OR = 2.14, 95% CI: 1.21–3.79), and parp (OR = 1.96, 95% CI: 1.09–3.52) compared to castratepre. Among these interventions, chemprept ranked the highest according to the SUCRA rankings, followed by chempre.

At the 6th month, there was a significant improvement in PFS compared to castratepre with chemprept (OR = 5.73, 95% CI: 2.54–12.92), chempre (OR = 2.97, 95% CI: 1.73–5.09), castratepretarget (OR = 2.86, 95% CI: 1.36–6), and parp (OR = 1.96, 95% CI: 1.09–3.52). When compared to the top-ranked intervention chemprept, chempre ranked second.

At the 12th month, there was a significant increase in PFS for chempre (OR = 4.21, 95% CI: 1.16–15.28), castratepretarget (OR = 2.82, 95% CI: 1.14–6.95), and parp (OR = 3.14, 95% CI: 1.86–5.32) compared to castratepre. Among these interventions, chempre had the highest SUCRA ranking, followed by parp.

At the 18th month, there was a significant increase in PFS for parp (OR = 3.08, 95% CI: 1.67–5.71) compared to castratepre.

Regarding progression-free survival (PFS), significant effects were observed for interventions ranging from 3 to 18 months, including chemprept, chempre, castratepretarget, and parp in descending order of their impact. Table 3 provides a comprehensive summary of the interventions with significant outcomes when compared to castratepre.

TABLE 3.

Progression free survival for each time point for interventions that were significant compared to castratepre (shown as odds ratio and 95% confidence intervals).

Time point Control group chemprept Chempre castratepretarget Parp Targetpre
3 months castratepre 8.68 (4.09; 18.40) 3.92 (2.58; 5.98) 2.14 (1.21; 3.79) 1.96 (1.09; 3.52) -
prednisone 1.52 (1.10; 2.09)
6 months castratepre 5.73 (2.54; 12.92) 2.97 (1.73; 5.09) 2.86 (1.36; 6.00) 2.34 (1.36; 4.02) -
prednisone 1.52 (1.00; 2.30)
12 months castratepre × 4.21 (1.16; 15.28) 2.82 (1.14; 6.95) 3.14 (1.86; 5.32) -
prednisone 1.73 (1.29; 2.31)
18 months castratepre × × × 3.08 (1.67; 5.71) -
prednisone 1.45 (1.00; 2.09)

Castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, chemprept (cabazitaxel or docetaxel + carboplatin + prednisone), chempre (Docetaxel or Cabazitaxel + prednisone), castratepretarget(ipatasertib or tivantinib + abiraterone + predisone), parp (Olaparib or rucaparib), targetpre (buparlisib or Orteronel + prednisone).

√: the treatment on the top is significant compared to the control group on the left; ×: the treatment on the top is not significant compared to the Control group on the left.

rPFS at each time point

Out of the 29 articles included in this study, 16 reported outcomes related to radiographic progression-free survival (rPFS). Sufficient data were available at 3, 6, 12, and 18 months to perform a network meta-analysis (NMA) for rPFS. The pairwise comparison of different treatment regimens at each rPFS time point is illustrated in Figure 5. Among the agents studied, castratepre was the most frequently utilized, and comparisons were predominantly made between castratepreparp and chempre. A detailed comparison of 17 interventions at each time point is presented in Supplementary Tables 3A–D.

FIGURE 5.

FIGURE 5

Network graphs of pairwise comparison of regimens on each time point of the radiographic Progression free survival; rPFS: radiographic Progression free survival; castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, target (cabozantinib), castratepretarget (ipatasertib or tivantinib + abiraterone + predisone), chempre (Docetaxel or Cabazitaxel + prednisone), castratepreparp (Abiraterone or Enzalutamide + prednisone + olaparib), targetpre (buparlisib or Orteronel + prednisone), 2castratepre (Abiraterone and Enzalutamide), castratepre400ipa (abiraterone + prednisone + 400 mg ipatasertib), castrateprepd1 (atezolizumab + enzalutamide + prednisone), castratepre200ipa (abiraterone + prednisone + 200 mg ipatasertib).

At the 3rd month, there was a statistically significant increase in radiographic progression-free survival (rPFS) rates observed with the following interventions: target (OR = 6.88, 95% CI: 1.6–29.6), castratepretarget (OR = 4.15, 95% CI: 1.53–11.2), chempre (OR = 2.99, 95% CI: 1.91–4.68), and castratepreparp (OR = 2.54, 95% CI: 1.14–5.63) compared to castratepre. Among these interventions, target achieved the highest ranking according to the SUCRA rankings, followed by castratepretarget in the second position.

At the 6th month, there was a statistically significant improvement in radiographic progression-free survival (rPFS) compared to castratepre with the following interventions: chempre (OR = 2.57, 95% CI: 1.71–3.86), castratepreparp (OR = 2.25, 95% CI: 1.16–4.38), 2castratepre (OR = 1.62, 95% CI: 1.15–2.3), and castratepre400ipa (OR = 1.73, 95% CI: 1.18–2.53). In terms of ranking according to the SUCRA scores, chempre held the highest position, followed by castratepreparp in the second rank.

At the 12th month, there was a statistically significant increase in radiographic progression-free survival (rPFS) for chempre (OR = 3.74, 95% CI: 2.21–6.59), castratepreparp (OR = 1.98, 95% CI: 1.1–3.56), 2castratepre (OR = 1.45, 95% CI: 1.11–1.89), and castratepre400ipa (OR = 1.71, 95% CI: 1.24–2.36) compared to castratepre. Among these interventions, chempre achieved the highest SUCRA ranking, followed by castratepreparp.

At the 18th month, there was a statistically significant increase in radiographic progression-free survival (rPFS) for chempre (OR = 2.94, 95% CI: 1.19–7.26), 2castratepre (OR = 1.52, 95% CI: 1.18–1.95), castratepre400ipa (OR = 1.58, 95% CI: 1.15–2.17), and castrateprepd1 (OR = 2.64, 95% CI: 1.09–6.4) compared to castratepre.

In terms of radiographic progression-free survival (rPFS), the interventions that showed a significant impact compared to castratepre spanned from 3 to 18 months. These interventions, in descending order of their effectiveness, included chempre, castratepreparp, 2castratepre, and castratepre400ipa. A comprehensive summary of the interventions with significant outcomes compared to castratepre can be found in Table 4.

TABLE 4.

Radiographic Progression free survival for each time point for interventions that were significant compared to castratepre (shown as odds ratio and 95% confidence intervals).

Time point Control group Target castratepretarget chempre castratepreparp Targetpre 2castratepre castratepre400ipa castrateprepd1 castratepre200ipa
3 months castratepre 6.88 (1.60; 29.64) 4.15 (1.53; 11.25) 2.99 (1.91; 4.68) 2.54 (1.14; 5.63) × × × × ×
prednisone × - - -
6 months castratepre - × 2.57 (1.71; 3.86) 2.25 (1.16; 4.38) - 1.62 (1.15; 2.30) 1.73 (1.18; 2.53) × ×
prednisone 3.38 (2.45; 4.65)
12 months castratepre - × 3.74 (2.12; 6.59) 1.98 (1.10; 3.56) - 1.45 (1.11; 1.89) 1.71 (1.24; 2.36) × ×
prednisone 2.01 (1.23; 3.28)
18 months castratepre - × 2.94 (1.19; 7.26) × × 1.52 (1.18; 1.95) 1.58 (1.15; 2.17) 2.64 (1.09; 6.40) ×
prednisone × ×

Castratepre (Abiraterone or Enzalutamide + prednisone), prednisone, target (cabozantinib), castratepretarget(ipatasertib or tivantinib + abiraterone + predisone), chempre (Docetaxel or Cabazitaxel + prednisone), castratepreparp (Abiraterone or Enzalutamide + prednisone + olaparib), targetpre (buparlisib or Orteronel + prednisone), 2castratepre (Abiraterone and Enzalutamide), castratepre400ipa (abiraterone + prednisone + 400 mg ipatasertib), castrateprepd1 (atezolizumab + enzalutamide + prednisone), castratepre200ipa (abiraterone + prednisone + 200 mg ipatasertib).

√: the treatment on the top is significant compared to the control group on the left; ×: the treatment on the top is not significant compared to the Control group on the left.

The Brooks-Gelman-Rubin diagnostic indicated that the inferential iterations for each Markov-chain Monte Carlo (MCMC) were stable and reproducible across all outcomes. Furthermore, the convergence of the model for all outcomes was confirmed using the history feature. Supplementary Figures 1A–C and Supplementary Figures 2A–C could provide comprehensive details of the results.

Heterogeneity

For all outcomes, the Brooks-Gelman-Rubin diagnostic indicated that the inferential iterations for each Markov-chain Monte Carlo (MCMC) were stable and reproducible. Additionally, we employed the history feature to verify the convergence of the model for all outcomes. Comprehensive results can be found in Supplementary Figures 1A–C and Supplementary Figures 2A–C, providing further details.

The heterogeneity of the results in our study was all less than 30%, which demonstrated the robustness of our findings. Therefore, we did not conduct subgroup analysis and meta-regression to identify the source of heterogeneity.

Discussion

The present study aimed to evaluate the efficacy of multiple regimens for the treatment of metastatic castration-resistant prostate cancer (mCRPC) through a comprehensive network meta-analysis (NMA) of RCTs.

To our knowledge, this is the first comparison of various treatment regimens alone or in combination at each time point for mCRPC patients with overall survival (OS), progression-free survival (PFS), and radiographic progression-free survival (rPFS). The results of the study are as follows: In terms of OS, compared with the mainstream castratepre, we found that chempre, chempretarget, and chemprePD1 showed a significant survival advantage from the 12th month, and chemprept and chempreDCVAC also demonstrated better efficacy from the 18th month. However, due to the limited availability of data, we could not obtain data beyond 30 months. We believe that chempretarget is the preferred choice for improving patients’ OS. In terms of PFS from 3 to 18 months, PARP inhibitors showed a clear advantage and, therefore, are the preferred choice for improving PFS in patients. Chempre demonstrated better efficacy in rPFS from 3 to 18 months and, thus, is considered the preferred treatment for improving rPFS.

Chempretarget showed encouraging results for overall survival. The studies included Capivasertib + Docetaxel and Cabozantinib + Docetaxel. Capivasertib is a potent selective inhibitor of three AKT subtypes (AKT1/2/3) and has demonstrated efficacy in various cancers (Coleman et al., 2021; Gasmi et al., 2021). The PI3K/AKT/PTEN pathway has been shown to be abnormally activated in patients resistant to taxane chemotherapy (Liu et al., 2015), which may explain why Capivasertib + Docetaxel works better than first-line chemotherapy treatment. It is not yet known why adding Capivasertib to chemotherapy improves OS, and the ongoing Phase 3 phase 3 CAPItello-280 trial (NCT05348577) may provide us with the answer. Cabozantinib targets VEGFR2 and C-MET and is used in various cancers (Grüllich, 2018). The combination with docetaxel allows for a lower dose of cabozantinib over a longer period, leading to sustained clinical benefits. Recent pharmacokinetic and pharmacodynamic studies have shown that combining a standard dose of docetaxel with approximately 20 mg of cabozantinib per day can optimize anti-tumor effects and potential treatment duration (Chen et al., 2018). In addition, biological compensation mechanisms caused by the discontinuation of antiangiogenic drugs such as codo can improve clinical efficacy by limiting clinical rebound through cytotoxic therapy such as docetaxel (Smith et al., 2016; Zhang et al., 2017).

For PFS, our study demonstrates that PARP inhibitors seem to have better efficacy. The PARP inhibitors included in our analysis were rucaparib and olaparib, respectively. Approximately 30% of mCRPC patients have DNA gene damage (Abida et al., 2017; Freedland and Aronson, 2017), with BRCA1 and BRCA2 being genes involved in homologous repair (Walsh, 2015; Blackford and Jackson, 2017). PARP inhibitors mainly induce DNA double-strand breaks and exploit homologous recombination repair defects associated with these pathological genes through PARP trapping (O'Connor, 2015). The efficacy of PARP inhibitors in the progression-free survival of mCRPC patients has been widely reported (Mateo et al., 2020), with the greatest benefit observed in the BRCA subgroup. The study found that the median duration of olaparib exposure was shorter in patients who transitioned from control treatment to olaparib (4.8 months) than in patients randomly assigned to receive olaparib (7.6 months). Therefore, early treatment with olaparib may have advantages over use later in the course of the disease (Hussain et al., 2020). Although the studies we included had substantial crossover from control treatment to parp, improvements in patients’ PFS were noted. Recently Several phase 2-3 studies have demonstrated the clinical efficacy of combining PARP inhibitors with second-generation ARPI as a frontline treatment for metastatic castration-resistant prostate cancer patients. These studies suggest that the benefits of this combination therapy are particularly enhanced in patients with gene alterations associated with DNA damage, highlighting the potential advantages of this approach (Clarke et al., 2018; Hussain et al., 2020; Saad et al., 2021). However, limitations of trials include the immaturity of overall survival data and exploratory nature of some subgroup analyses.

Generally, ARPI (Androgen Receptor Pathway Inhibitors) is the preferred treatment option for mCRPC (metastatic castration-resistant prostate cancer) patients, given its well-established survival benefits and tolerability (Ryan et al., 2015; Beer et al., 2017; Annala et al., 2018). However, certain patients with adverse prognostic clinical features do not derive equivalent levels of benefit from ARPI therapy.Chemotherapy as a first-line treatment can overcome resistance mechanisms to androgen-targeted inhibitors, such as increased androgen signaling and PTEN loss (Fitzpatrick and de Wit, 2014; Antonarakis et al., 2015; Palapattu, 2016; Rescigno et al., 2018). The CARD trial demonstrated an overall survival advantage of cabazitaxel over ARPI. However, it is important to note that the population in the CARD trial had previously received docetaxel and ARPI treatment. Thus, the study was evaluating cabazitaxel as a third-line therapy in patients who were already known to have ARPI resistance in first and second-line treatments.

Strengths and limitations

We conducted a comprehensive analysis by evaluating 16 first-line interventions using 29 carefully selected high-quality studies. The analysis covered a follow-up period of up to 30 months for overall survival (OS) and 18 months for progression-free survival (PFS) and radiographic progression-free survival (rPFS). We demonstrated the stability and replicability of each MCMC chain iteration using Brooks-Gelman-Rubin diagnostics and estimated the convergence of the model.

Despite the valuable insights provided by this network meta-analysis (NMA), several limitations need to be acknowledged. Firstly, although we compared various treatment combinations directly or indirectly, it is essential to recognize that this approach cannot fully replace head-to-head comparative clinical trials. Moreover, we have merely demonstrated an association between treatment and outcomes, without establishing a causal relationship. Therefore, direct comparative trials remain indispensable. Secondly, the quality of the trials included in this analysis may have been influenced by various types of bias, potentially impacting the overall validity of the outcomes. Thirdly, the study population consisted exclusively of patients with metastatic prostate cancer. Additionally, certain confounding factors (e.g., drug dose, number of focal metastases, patient risk class, etc.) had missing data in some trials, and we were unable to account for these factors through meta-regression. Therefore, caution should be exercised when interpreting the results of this NMA in light of these limitations.

Conclusion

Chempretarget and PARP inhibitors demonstrate superior efficacy in improving survival outcomes for mCRPC patients compared to first-line treatment. However, further head-to-head comparisons are required to validate these findings.

Acknowledgments

Thanks to Yu Jiang for her encouragement and support to YL in his medical career.

Funding Statement

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The Primary Health Development Research Center of Sichuan Province Program (Project number: SWFZ23-Y-55).

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

YL: Data curation, Formal Analysis, Writing–original draft, Writing–review and editing. XD: Supervision, Writing–original draft, Writing–review and editing. ZW: Writing–original draft. JH: Writing–original draft. CW: Writing–original draft. CC: Writing–original draft. EB: Writing–original draft. JW: Writing–original draft. XY: Data curation, Investigation, Supervision, Writing–original draft, Writing–review and editing.

Conflict of interest

The 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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2023.1290990/full#supplementary-material

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Supplementary Materials

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.


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