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      The association between immune-related adverse events and the prognosis of solid cancer patients treated with immunotherapy: a systematic review and meta-analysis

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          Abstract

          Background:

          Immune-related adverse events (irAEs) are common during immune checkpoint inhibitor (ICI) treatment and reported to be associated with good survival. This study evaluated the association between onset timing of irAEs and survival of cancer patients treated with ICIs.

          Methods:

          Databases including PubMed, Embase, and the Cochrane library were systematically searched to retrieve clinical studies assessing the relationship between irAEs and survival in cancer patients with ICIs. The overall response rate for treatment response and hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS) were calculated using RevMan 5.3. Subgroup analysis in terms of cancer type, ICIs type, region, specific irAEs, accordingly.

          Results:

          A total of 34 studies were included. The HRs for OS and PFS in cancer patients with versus without irAEs were 0.57 [95% confidence interval (CI): 0.44, 0.74; p < 0.0001], and 0.50 (95% CI: 0.37, 0.67; p < 0.00001), respectively. The odds ratio for overall response in cancer patients with irAEs was 4.72 (95% CI: 3.48, 6.40; p < 0.00001) compared with those without irAEs. Subgroup analyses suggested that the prognostic role of irAEs was associated with cancer types and region, but not irAEs types. The landmark analysis of OS revealed that there is a non-proportional (early) effect of irAEs on OS in ICI-treated cancer patients (landmark >12 weeks, HR OS = 1.08; 95% CI: 0.89, 1.30; p = 0.46).

          Conclusion:

          Our findings suggest that the occurrence of irAEs could be a prognostic factor for cancer patients who were treated with ICIs.

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          Most cited references56

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          Immune-Related Adverse Events Associated with Immune Checkpoint Blockade

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            • Article: not found

            Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

            Meta-analyses aim to provide a full and comprehensive summary of related studies which have addressed a similar question. When the studies involve time to event (survival-type) data the most appropriate statistics to use are the log hazard ratio and its variance. However, these are not always explicitly presented for each study. In this paper a number of methods of extracting estimates of these statistics in a variety of situations are presented. Use of these methods should improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.
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              Cancer immunotherapy efficacy and patients' sex: a systematic review and meta-analysis

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                Author and article information

                Contributors
                Journal
                Ther Adv Med Oncol
                Ther Adv Med Oncol
                TAM
                sptam
                Therapeutic Advances in Medical Oncology
                SAGE Publications (Sage UK: London, England )
                1758-8340
                1758-8359
                18 December 2020
                2020
                : 12
                : 1758835920980546
                Affiliations
                [1-1758835920980546]Department of Oncology, The Fifth Hospital of WuHan, WuHan, Hubei, China
                [2-1758835920980546]Department of Oncology, RenMin Hospital of Wuhan University, Wuhan, China
                [3-1758835920980546]Department of Oncology, RenMin Hospital of Wuhan University, Wuhan, China
                [4-1758835920980546]Department of Oncology, RenMin Hospital of Wuhan University, Wuhan, China
                [5-1758835920980546]Department of Oncology, RenMin Hospital of Wuhan University, Jiefang Road #238 Wuchang District, Wuhan, 430000, China
                Author notes
                [*]

                these two authors contributed equally

                Author information
                https://orcid.org/0000-0002-5777-4176
                Article
                10.1177_1758835920980546
                10.1177/1758835920980546
                7758867
                33425028
                ccf39862-bbf6-430a-a65d-f22fd3162705
                © The Author(s), 2020

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 7 February 2020
                : 16 November 2020
                Funding
                Funded by: National Natural Science Fund of China, ;
                Award ID: 81700208
                Funded by: the National Natural Science Fund of China, ;
                Award ID: 31971166
                Categories
                Meta-Analysis
                Custom metadata
                January-December 2020
                ts1

                biomarker,immune-related adverse events,immunotherapy,meta-analysis,survival

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