The use of bevacizumab in the modern era of targeted therapy for ovarian cancer: A systematic review and meta-analysis.


Journal

Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304

Informations de publication

Date de publication:
05 2021
Historique:
received: 21 11 2020
accepted: 20 01 2021
pubmed: 7 2 2021
medline: 8 10 2021
entrez: 6 2 2021
Statut: ppublish

Résumé

The optimal systemic therapy strategy for advanced epithelial ovarian cancer (EOC) remains unclear. We performed a systematic review and meta-analysis to assess oncologic outcomes and toxicity of bevacizumab combination treatment in advanced EOC. We conducted an electronic search of all phase 2 and 3 clinical trials involving bevacizumab combination therapy in advanced-stage EOC between 2010 and March 2020, using Embase, Medline, Epub Ahead of Print, Cochrane for clinical trials, Cochrane Database of Systematic Reviews, Web of Science and clinicaltrials.gov databases. Progression-free survival (PFS), overall survival (OS), and their hazard ratios (HR) when available were extracted. Pooled HR were calculated for each efficacy endpoint in the meta-analysis using inverse variance weighted method. Bias was assessed using the Cochrane Collaboration Risk of Bias I (ROB1) tool for randomized controlled trials. Thirty-five studies were included in the qualitative analysis and eight studies in the quantitative synthesis. In the first-line setting, bevacizumab combined with chemotherapy revealed a significant improvement in PFS (pooled HR = 0.72, 95% CI 0.65-0.81) when compared to chemotherapy alone but no significant OS benefit (pooled HR = 0.88, 95% CI 0.72-1.06). In the recurrent setting, bevacizumab combinations showed significant PFS (pooled HR = 0.52, 95% CI 0.47-0.58) and OS benefits (pooled HR = 0.88, 95% CI 0.79-0.99) compared with non-bevacizumab regimens. Rate of bowel perforation was low at 1.24% (range 0-4.2%). Bevacizumab-containing regimens are associated with significant PFS benefit in advanced and recurrent epithelial ovarian cancer. While the difference in OS did not reach statistical significance in the first-line setting, bevacizumab was associated with improved survival in the recurrent setting.

Identifiants

pubmed: 33546867
pii: S0090-8258(21)00088-3
doi: 10.1016/j.ygyno.2021.01.028
pii:
doi:

Substances chimiques

Bevacizumab 2S9ZZM9Q9V

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

601-612

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no personal nor financial conflict of interests to disclose. Several of the clinical trials included in this systematic review were conducted at the Princess Margaret Cancer Centre.

Auteurs

Shiru Liu (S)

Bras Family Drug Development Program, Princess Margaret Cancer Centre, University Health Network, Department of Medicine, University of Toronto, Toronto, ON, Canada.

Lawrence Kasherman (L)

Bras Family Drug Development Program, Princess Margaret Cancer Centre, University Health Network, Department of Medicine, University of Toronto, Toronto, ON, Canada.

Rouhi Fazelzad (R)

University Health Network Library and Information Services, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Lisa Wang (L)

Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, ON, Canada.

Genevieve Bouchard-Fortier (G)

Department of Obstetrics & Gynecology, University of Toronto, Toronto, ON, Canada; Division of Gynecologic Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada.

Stephanie Lheureux (S)

Bras Family Drug Development Program, Princess Margaret Cancer Centre, University Health Network, Department of Medicine, University of Toronto, Toronto, ON, Canada.

Monika K Krzyzanowska (MK)

Department of Medical Oncology & Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada. Electronic address: monika.krzyzanowska@uhn.ca.

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Classifications MeSH