# PARP Inhibitors for Metastatic CRPC: More Answers than Questions, a Systematic Review and Meta-Analysis

**Authors:** Ray Manneh, Javier Molina-Cerrillo, Guillermo de Velasco, Linda Ibatá, Susan Martínez, Álvaro Ruiz-Granados, Teresa Alonso-Gordoa

PMC · DOI: 10.3390/ph18071015 · Pharmaceuticals · 2025-07-08

## TL;DR

PARP inhibitors, especially when combined with other drugs, improve survival in prostate cancer patients with specific genetic mutations, but not in others.

## Contribution

This study provides a comprehensive meta-analysis of PARP inhibitor therapies in metastatic prostate cancer, highlighting molecular subgroups that benefit most.

## Key findings

- Combination therapy improved radiographic progression-free survival in HRR- and BRCA-mutated mCRPC patients.
- PARP inhibitors as monotherapy showed benefit in BRCA-mutated patients but not in non-HRR mutated cases.
- Combination therapy increased grade ≥3 adverse events compared to monotherapy.

## Abstract

PARP inhibitors (PARPi), alone or in combination with androgen receptor signaling inhibitors (ARSi), have shown clinical benefit in metastatic castration-resistant prostate cancer (mCRPC), particularly in tumors with homologous recombination repair (HRR) gene alterations. Recent data from the TALAPRO-2 trial complete the current evidence on PARPi–ARSi combination strategies in this setting. Background/Objectives: To evaluate the efficacy and safety of PARPi-based therapies—monotherapy and combination with ARSi—in patients with mCRPC, focusing on molecular subgroups defined by DNA repair alterations. Methods: We conducted a systematic review and meta-analysis of phase III randomized controlled trials (RCTs) assessing PARPi as monotherapy or in combination with ARSi. Searches were performed in PubMed, EMBASE, the Cochrane Library, and oncology conference proceedings up to February 2025. Outcomes included radiographic progression-free survival (rPFS), overall survival (OS), second progression-free survival (PFS2), and grade ≥3 adverse events (AEs). Data were pooled using a random-effects model, with subgroup analyses by DNA repair status. Results: Five RCTs (n = 2921) were I confirmincluded: three on combination therapy (n = 2271) and two on monotherapy (n = 650). Combination therapy improved rPFS in the ITT (HR = 0.64; 95% CI: 0.56–0.74), HRRm (HR = 0.55; 95% CI: 0.44–0.68), and BRCAm (HR = 0.33; 95% CI: 0.18–0.58) subgroups. OS was also improved in the ITT (HR = 0.80; 95% CI: 0.70–0.92), HRRm (HR = 0.68; 95% CI: 0.55–0.83), and BRCAm (HR = 0.54; 95% CI: 0.34–0.85) groups. No benefit was observed in non-HRRm patients. PFS2 favored combination therapy (HR = 0.77; 95% CI: 0.64–0.91). Grade ≥3 AEs were more frequent (RR = 1.44; 95% CI: 1.20–1.73). Monotherapy improved rPFS in ITT (HR = 0.46; 95% CI: 0.20–0.81) and BRCAm (HR = 0.33; 95% CI: 0.15–0.75); OS benefit was seen only in BRCAm (HR = 0.73; 95% CI: 0.57–0.95). Conclusions: PARPi therapies improve outcomes mainly in HRR- and BRCA-mutated mCRPC. Molecular selection is key to optimizing benefit and minimizing toxicity. Further research on the activity of PARPi combinations in non-HRR mutated mCRPC is needed to better understand the underlying mechanisms of efficacy.

## Linked entities

- **Genes:** Hrr (Bromodomain transcription factor, putative) [NCBI Gene 5000463], Brca2 (BRCA2, DNA repair associated) [NCBI Gene 37916]
- **Diseases:** prostate cancer (MONDO:0005159)

## Full-text entities

- **Genes:** PARP1 (poly(ADP-ribose) polymerase 1) [NCBI Gene 142] {aka ADPRT, ADPRT 1, ADPRT1, ARTD1, PARP, PARP-1}, BRCA1 (BRCA1 DNA repair associated) [NCBI Gene 672] {aka BRCAI, BRCC1, BROVCA1, FANCS, IRIS, PNCA4}, AR (androgen receptor) [NCBI Gene 367] {aka AIS, AR8, DHTR, HPCX3, HUMARA, HYSP1}
- **Diseases:** tumors (MESH:D009369), toxicity (MESH:D064420), castration-resistant prostate cancer (MESH:D064129)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12298444/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12298444/full.md

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Source: https://tomesphere.com/paper/PMC12298444