Combining Novel Hormonal Therapies with a Poly (ADP-Ribose) Polymerase Inhibitor for Metastatic Castration-Resistant Prostate Cancer: Emerging Evidence.
Jie YangXingyu XiongWeitao ZhengXinyang LiaoHang XuLu YangQiang WeiPublished in: Current oncology (Toronto, Ont.) (2023)
Preclinical and clinical studies have suggested potential synergies of combining poly (ADP-ribose) polymerase (PARP) inhibitors and novel hormonal therapies (NHT) for patients with metastatic castration-resistant prostate cancer (mCRPC). We systematically searched PubMed, ClinicalTrials.gov and ASCO-GU annual meeting abstracts up to March 2023 to identify potential phase III trials reporting the use of combining PARP inhibitors with NHT in the first-line setting for mCRPC. A total of four phase III trials met the criteria for subsequent review. Emerging data suggested that the radiographic progression-free survival (rPFS) was significantly longer in the PARP inhibitor combined with NHT group versus the placebo plus NHT group for the first-line setting of biomarker-unselected mCRPC patients, especially for patients with homologous recombination repair (HRR) mutation (HRR m), and with the greatest benefit for BRCA1/2 mutation (BRCA1/2 m) populations. Final overall survival (OS) data of the PROpel trial indicated a significant improvement in median OS for mCRPC patients with HRR m and BRCA1/2 m receiving olaparib + abiraterone. Prior taxane-based chemotherapy might not influence the efficacy of the combination. Compared with the current standard-of-care therapies, combining NHT with PARP inhibitors could achieve a significant survival benefit in the first-line setting for mCRPC patients with HRR and BRCA1/2 mutations.
Keyphrases
- phase iii
- dna repair
- dna damage
- free survival
- open label
- clinical trial
- phase ii
- double blind
- end stage renal disease
- breast cancer risk
- placebo controlled
- electronic health record
- squamous cell carcinoma
- chronic kidney disease
- healthcare
- ejection fraction
- newly diagnosed
- oxidative stress
- peritoneal dialysis
- big data
- small cell lung cancer
- polycystic ovary syndrome
- palliative care
- prognostic factors
- type diabetes
- human health
- risk assessment
- climate change
- machine learning
- insulin resistance
- structural basis
- locally advanced
- adverse drug
- skeletal muscle
- radiation therapy
- stem cells
- pain management
- study protocol
- patient reported outcomes
- cell therapy
- patient reported
- rectal cancer
- data analysis