Efficacy and Safety of PARP Inhibitor Therapy in Advanced Ovarian Cancer : A Systematic Review and Network Meta-analysis of Randomized Controlled Trials

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AIMS: This study aims to evaluate the efficacy and safety of PARP inhibitor therapy in advanced ovarian cancer and identify the optimal treatment for the survival of patients.

BACKGROUND: The diversity of PARP inhibitors makes clinicians confused about the optimal strategy and the most effective BRCAm mutation-based regimen for the survival of patients with advanced ovarian cancer.

OBJECTIVES: The objective of this study is to compare the effects of various PARP inhibitors alone or in combination with other agents in advanced ovarian cancer.

METHODS: PubMed, Embase, Cochrane Library, and Web of Science were searched for relevant studies on PARP inhibitors for ovarian cancer. Bayesian network meta-analysis was performed using Stata 15.0 and R 4.0.4. The primary outcome was the overall PFS, and the secondary outcomes included OS, AE3, DISAE, and TFST.

RESULTS: Fifteen studies involving 5,788 participants were included. The Bayesian network metaanalysis results showed that olaparibANDAI was the most beneficial in prolonging overall PFS and non-BRCAm PFS, followed by niraparibANDAI. However, for BRCAm patients, olaparibTR might be the most effective, followed by niraparibANDAI. Olaparib was the most effective for the OS of BRCAm patients. AI, olaparibANDAI, and veliparibTR were more likely to induce grade 3 or higher adverse events. AI and olaparibANDAI were more likely to cause DISAE.

CONCLUSION: PARP inhibitors are beneficial to the survival of patients with advanced ovarian cancer. The olaparibTR is the most effective for BRCAm patients, whereas olaparibANDAI and niraparibANDAI are preferable for non-BRCAm patients. Other: More high-quality studies are desired to investigate the efficacy and safety of PARP inhibitors in patients with other genetic performances.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - year:2023

Enthalten in:

Current computer-aided drug design - (2023) vom: 07. Sept.

Sprache:

Englisch

Beteiligte Personen:

Chen, Juying [VerfasserIn]
Wu, Xiaozhe [VerfasserIn]
Wang, Hongzhe [VerfasserIn]
Lian, Xiaoshan [VerfasserIn]
Li, Bing [VerfasserIn]
Zhan, Xiangbo [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Network meta-analysis
Niraparib
Olaparib
Ovarian cancer
PARP inhibitors
Rucaparib
Systematic review
Veliparib

Anmerkungen:

Date Revised 11.09.2023

published: Print-Electronic

Citation Status Publisher

doi:

10.2174/1573409920666230907093331

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM361886829