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      The Predictive and Prognostic Nature of Programmed Death-Ligand 1 in Malignant Pleural Mesothelioma: A Systematic Literature Review

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          Abstract

          Introduction

          Given the emergence of combination of programmed cell death protein-1 and CTLA4 pathway blockade as effective treatment options in malignant pleural mesothelioma (MPM), there is interest in the extent to which programmed death-ligand 1 (PD-L1) expression may be prognostic of clinical outcomes and predictive of response to anti–programmed death (ligand) 1 (PD-[L]1) therapies.

          Methods

          MEDLINE and EMBASE electronic databases were searched until November 4, 2020. English-language randomized trials and observational studies that reported clinical outcomes and PD-L1 expression in adult patients (>18 or >20 y) with MPM were included. Forest plots were used to descriptively summarize clinical outcome data across studies.

          Results

          A total of 29 publications were identified providing data on the research question. Among the studies in which anti–PD-(L)1 therapies were not specified to have been used, 63% (10 of 16) found patients with tumors expressing PD-L1 (typically >1%) to have poorer survival than those with tumors expressing lower levels of PD-L1. Among the studies in which anti–PD-(L)1 therapies were used, 83% (five of six) did not reveal an association between survival and PD-L1 tumor expression. The single study directly comparing outcomes between those treated and untreated with anti–PD-(L)1 therapies across different PD-L1 cutoffs did not identify any differences between the groups.

          Conclusions

          The quality and consistency of the existing evidence base are currently insufficient to draw conclusions regarding a prognostic or predictive role of PD-L1 in MPM. Furthermore, high-quality studies on this topic are required to support the use of PD-L1 as a biomarker in MPM.

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          Most cited references38

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            First-line nivolumab plus ipilimumab in unresectable malignant pleural mesothelioma (CheckMate 743): a multicentre, randomised, open-label, phase 3 trial

            Approved systemic treatments for malignant pleural mesothelioma (MPM) have been limited to chemotherapy regimens that have moderate survival benefit with poor outcomes. Nivolumab plus ipilimumab has shown clinical benefit in other tumour types, including first-line non-small-cell lung cancer. We hypothesised that this regimen would improve overall survival in MPM.
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              Nivolumab or nivolumab plus ipilimumab in patients with relapsed malignant pleural mesothelioma (IFCT-1501 MAPS2): a multicentre, open-label, randomised, non-comparative, phase 2 trial

              There is no recommended therapy for malignant pleural mesothelioma that has progressed after first-line pemetrexed and platinum-based chemotherapy. Disease control has been less than 30% in all previous studies of second-line drugs. Preliminary results have suggested that anti-programmed cell death 1 (PD-1) monoclonal antibody could be efficacious in these patients. We thus aimed to prospectively assess the anti-PD-1 monoclonal antibody alone or in combination with anti-cytotoxic T-lymphocyte protein 4 (CTLA-4) antibody in patients with malignant pleural mesothelioma.
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                Author and article information

                Contributors
                Journal
                JTO Clin Res Rep
                JTO Clin Res Rep
                JTO Clinical and Research Reports
                Elsevier
                2666-3643
                22 March 2022
                May 2022
                22 March 2022
                : 3
                : 5
                : 100315
                Affiliations
                [a ]Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
                [b ]PHMR Ltd., Berkeley Works, London, United Kingdom
                [c ]Bristol-Myers Squibb, Braine-l’Alleud, Belgium
                [d ]Health Outcomes Solutions Ltd., London, United Kingdom
                [e ]Bristol-Myers Squibb, Lawrenceville, New Jersey
                [f ]Bloomberg-Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland
                Author notes
                []Corresponding author. Address for correspondence: Rebecca J. Brown, PhD, PHMR Ltd., Berkeley Works, Berkley Grove, London NW1 8XY, United Kingdom. rebecca.brown@ 123456phmr.com
                Article
                S2666-3643(22)00039-X 100315
                10.1016/j.jtocrr.2022.100315
                9062484
                35516726
                ef94ca0b-c20f-4632-9cdc-c3598d250534
                © 2022 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 8 February 2022
                : 15 March 2022
                : 17 March 2022
                Categories
                Review Article

                mesothelioma,pd-l1,prognostic,predictive,biomarker
                mesothelioma, pd-l1, prognostic, predictive, biomarker

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