Literature DB >> 32353599

Programmed Death-Ligand 1 Immunohistochemistry Assay Comparison Studies in NSCLC: Characterization of the 73-10 Assay.

Hans Juergen Grote1, Zheng Feng2, Michael Schlichting1, Christoph Helwig1, Mary Ruisi2, Hulin Jin1, Juergen Scheuenpflug1, Claudia-Nanette Gann1, Zhen Su3, Martin Reck4, Everett E Vokes5, Keith M Kerr6.   

Abstract

INTRODUCTION: Several programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) assays have been developed independently within clinical programs for therapeutic anti-programmed cell death protein 1 (anti-PD-1) or PD-L1 antibodies, necessitating assessment of assay comparability. We characterized the Dako PD-L1 IHC 73-10 assay used in clinical trials of avelumab (anti-PD-L1) or bintrafusp alfa (M7824; bifunctional immunotherapy) and compared it with the Dako PD-L1 IHC 22C3 pharmDx assay, an approved companion diagnostic for pembrolizumab monotherapy in patients with advanced NSCLC.
METHODS: Formalin-fixed, paraffin-embedded NSCLC tumor samples from a commercial source and from the JAVELIN Solid Tumor phase 1 trial of avelumab (NCT01772004) were stained using the 73-10 and 22C3 IHC assays with a standard protocol.
RESULTS: Both assays displayed expected PD-L1 staining patterns. In 148 commercial NSCLC samples, the 73-10 assay stained greater than or equal to 1%, greater than or equal to 50%, and greater than or equal to 80% of tumor cells as PD-L1+ in 64.2%, 36.5%, and 23.6% of the samples, respectively, whereas the 22C3 assay stained 20.3% of the samples as greater than or equal to 50% PD-L1+. In 83 NSCLC clinical trial samples, the 73-10 assay stained 79.5% and 31.3% of the samples as greater than or equal to 1% and greater than or equal to 80% PD-L1+, respectively, whereas the 22C3 assay stained 59.0% and 21.7% as greater than or equal to 1% and greater than or equal to 50% PD-L1+, respectively. Efficacy of avelumab was similar in the subgroups classified with the 73-10 and 22C3 assays using greater than or equal to 80% and greater than or equal to 50% PD-L1+ cutoffs, with objective response rates of 26.9% and 33.3%, respectively.
CONCLUSIONS: The 73-10 assay demonstrated high sensitivity for PD-L1 staining, and staining was comparable between the greater than or equal to 80% cutoff of the 73-10 assay and greater than or equal to 50% cutoff of the 22C3 assay.
Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Avelumab; Immunohistochemistry; NSCLC; PD-L1

Mesh:

Substances:

Year:  2020        PMID: 32353599     DOI: 10.1016/j.jtho.2020.04.013

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  7 in total

Review 1.  PD-L1 as a biomarker of response to immune-checkpoint inhibitors.

Authors:  Deborah Blythe Doroshow; Sheena Bhalla; Mary Beth Beasley; Lynette M Sholl; Keith M Kerr; Sacha Gnjatic; Ignacio I Wistuba; David L Rimm; Ming Sound Tsao; Fred R Hirsch
Journal:  Nat Rev Clin Oncol       Date:  2021-02-12       Impact factor: 66.675

2.  Efficacy and safety of first-line avelumab in patients with advanced non-small cell lung cancer: results from a phase Ib cohort of the JAVELIN Solid Tumor study.

Authors:  Claire F Verschraegen; Guy Jerusalem; Edward F McClay; Nicholas Iannotti; Charles H Redfern; Jaafar Bennouna; Franklin L Chen; Karen Kelly; Janice Mehnert; John C Morris; Matthew Taylor; David Spigel; Ding Wang; Hans Juergen Grote; Dongli Zhou; Neru Munshi; Marcis Bajars; James L Gulley
Journal:  J Immunother Cancer       Date:  2020-09       Impact factor: 13.751

3.  Prognostic significance of PD-L1-positive cancer-associated fibroblasts in patients with triple-negative breast cancer.

Authors:  Katsuhiro Yoshikawa; Mitsuaki Ishida; Hirotsugu Yanai; Koji Tsuta; Mitsugu Sekimoto; Tomoharu Sugie
Journal:  BMC Cancer       Date:  2021-03-06       Impact factor: 4.430

4.  Intravenous injection of the oncolytic virus M1 awakens antitumor T cells and overcomes resistance to checkpoint blockade.

Authors:  Yang Liu; Jing Cai; Wenfeng Liu; Yuan Lin; Li Guo; Xincheng Liu; Zhen Qin; Cuiying Xu; Yanming Zhang; Xingwen Su; Kai Deng; Guangmei Yan; Jiankai Liang
Journal:  Cell Death Dis       Date:  2020-12-12       Impact factor: 8.469

5.  Modeling Challenges in Cost-Effectiveness Analysis of First-Line Immuno-Oncology Therapies in Non-small Cell Lung Cancer: A Systematic Literature Review.

Authors:  Thitima Kongnakorn; Grammati Sarri; Andreas Freitag; Kinga Marczell; Paulina Kazmierska; Elizabeth Masters; Vivek Pawar; Xinke Zhang
Journal:  Pharmacoeconomics       Date:  2021-10-01       Impact factor: 4.981

Review 6.  Perspectives for Combining Viral Oncolysis With Additional Immunotherapies for the Treatment of Melanoma.

Authors:  Otto Luiz Dutra Cerqueira; Fernanda Antunes; Nadine G Assis; Elaine C Cardoso; Maria A Clavijo-Salomón; Ana C Domingues; Nayara G Tessarollo; Bryan E Strauss
Journal:  Front Mol Biosci       Date:  2022-04-14

Review 7.  PD-1/PD-L1 in Cancer: Pathophysiological, Diagnostic and Therapeutic Aspects.

Authors:  Enrico Munari; Francesca R Mariotti; Linda Quatrini; Pietro Bertoglio; Nicola Tumino; Paola Vacca; Albino Eccher; Francesco Ciompi; Matteo Brunelli; Guido Martignoni; Giuseppe Bogina; Lorenzo Moretta
Journal:  Int J Mol Sci       Date:  2021-05-12       Impact factor: 5.923

  7 in total

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