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Safety and efficacy of durvalumab (MEDI4736) in various solid tumors

Authors Yang H, Shen K, Zhu C, Li Q, Zhao Y, Ma X

Received 11 January 2018

Accepted for publication 27 March 2018

Published 6 July 2018 Volume 2018:12 Pages 2085—2096


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Dr Qiongyu Guo

Hui Yang,1,2,* Kai Shen,3,* Chenjing Zhu,3 Qingfang Li,3 Yunuo Zhao,2 Xuelei Ma3,*

1Cancer Center, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 2West China School of Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 3State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, People’s Republic of China

*These authors contributed equally to this work

Introduction: The prominent immune checkpoint molecule, programmed cell death ligand-1 (PD-L1), is the object of increasing attention. Here, we report a meta-analysis investigating the safety and efficacy of durvalumab (MEDI4736), an inhibitor of PD-L1, in various solid tumors.
Methods: A systematic search of PubMed, Embase, and related articles was performed. Safety data were analyzed using Comprehensive Meta-Analysis software program version 2. Ultimately, 17 studies with 1,529 patients were included in our analysis.
Results: The major adverse events associated with durvalumab were pruritus and fatigue, while pruritus, increased alanine transaminase, and increased aspartate aminotransferase were common among patients treated with a combination of durvalumab and tremelimumab. Higher PD-L1 expression was associated with a superior objective response rate.
Conclusion: Durvalumab is safe in patients with many solid cancers and, in combination with tremelimumab, it has a tolerable safety profile and is associated with improved prognosis. PD-L1 expression is a biomarker of the efficacy of durvalumab.

Keywords: durvalumab, solid cancers, adverse effects, efficacy, meta-analysis

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