ReviewThe world journal of men's health2024
PARP Inhibitors in the Treatment of Prostate Cancer: From Scientific Rationale to Clinical Development.
Review in The world journal of men's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- PARP Inhibition in Prostate Cancer: Current Status, Resistance Mechanisms, and Clinical Challenges.Cells · 2026Review
- Endocrine-driven inflammatory-epigenetic adaptation as a proposed axis of radioresistance in endocrine-exposed prostate cancer: a translational hypothesis.Frontiers in endocrinology · 2026Review
- Role of Poly (ADP-Ribose) Polymerase-1 (PARP1) and Its Inhibitors for Cancer Therapy.Mini reviews in medicinal chemistry · 2026Review
- Review
- Omics-Mediated Treatment for Advanced Prostate Cancer: Moving Towards Precision Oncology.International journal of molecular sciences · 2025Review
- Precision Targeting in Metastatic Prostate Cancer: Molecular Insights to Therapeutic Frontiers.Biomolecules · 2025Review
- Review
- New biomarkers and multiplex tests for diagnosis of aggressive prostate cancer and therapy management.Frontiers in oncology · 2025Review
- FGFR Inhibitors in Urothelial Cancer: From Scientific Rationale to Clinical Development.Journal of Korean medical science · 2024Review
- Review
- Review
- Integrating PARP Inhibitors in mCRPC Therapy: Current Strategies and Emerging Trends.Cancer management and research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PC) treatment has reached a milestone with the introduction of poly(ADP-ribose) polymerase (PARP) inhibitors. PARP inhibitors (PARPi) induce breaks in single-stranded and/or double-stranded DNA, resulting in synthetic lethality in cancer cells lacking functional homologous recombination genes. Around 20% to 25% of patients with metastatic castration-resistant prostate cancer harbor mutations in DNA damage repair genes, either somatic or germline. The success of PARPi in these patients has prompted studies exploring its potential in tumors classified as "BRCAness," which refers to tumors without germline BRCA1 or BRCA2 mutations. Additionally, there is a proposed connection between androgen receptor signaling and synthetic lethality of PARPi. The inclusion of genetic mutation tests in the treatment algorithm for PC is a significant step towards precision and personalized medicine, marking a first in the field. The objectives of this review encompass understanding the mechanism of action of PARPi in both monotherapy and combination therapy, exploring patient selection criteria, discussing pivotal studies that led to its approval, and offering future prospects. However, numerous unanswered questions remain, including the identification of the patient population that could benefit most from PARPi, determining whether to use PARPi as monotherapy or in combination, and finding the optimal timing of PARPi administration in advanced or localized disease. To address these questions, several ongoing clinical trials are being conducted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.