Literature DB >> 29946185

Optimization and validation of PD-L1 immunohistochemistry staining protocols using the antibody clone 28-8 on different staining platforms.

Christina Koppel1, Helena Schwellenbach1, Dirk Zielinski2, Sina Eckstein3, Mercedes Martin-Ortega3, Corrado D'Arrigo4, Hans-Ulrich Schildhaus3, Josef Rüschoff1,5, Bharat Jasani1.   

Abstract

Several immunohistochemistry (IHC) assays have been developed to assess tumor programmed death-ligand 1 (PD-L1) expression levels in patients who are candidates for programmed death-1 (PD-1)/PD-L1 inhibitor therapy. The PD-L1 IHC 28-8 pharmDx kit is FDA-approved as a complementary diagnostic and CE-marked as an in vitro diagnostic device for nivolumab therapy in melanoma and specific lung cancer subtypes (and for squamous cell carcinoma of the head and neck/urothelial carcinoma in Europe only). Kit availability is limited outside the United States, and its use requires the Dako Autostainer Link 48 platform, which is unavailable in many laboratories. Validated laboratory-developed tests based on 28-8 concentrated antibody outside the kit are needed. This study compared the results from PD-L1 expression level analysis across four immunohistochemistry platforms (Dako Autostainer Link 48, Dako Omnis, Leica Bond-III, and Ventana BenchMark ULTRA) with the 28-8 pharmDx kit in lung cancer (multiple histologies), melanoma, and head and neck cancer (multiple histologies). Samples were prepared per protocol for each platform and stained using PD-L1 IHC 28-8 pharmDx kit on Dako Autostainer Link 48, and per protocol for each platform. The control samples (tonsil and placenta tissue; cell lines with prespecified PD-L1 expression levels) were tested to evaluate the specificity and the sensitivity of test assays. An agreement level of 0.90 with the pharmDx kit was set for each platform. Inter- and intra-assay reliability were assessed. Evaluable samples were lung cancer = 29; melanoma = 31; head and neck cancer = 30. Mean agreement was calculated for PD-L1 expression levels of ≥1%, ≥5%, ≥10%, and ≥50%. Mean overall agreement for all indications was 0.87-0.99. Inter- and intra-assay of scoring/classification repeatability was 100%. Analysis of PD-L1 expression levels using laboratory-developed immunohistochemistry assays with 28-8 antibody may be permissible if the platform is validated using reference samples with defined expression levels.

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Year:  2018        PMID: 29946185     DOI: 10.1038/s41379-018-0071-1

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  9 in total

1.  Top-level MET gene copy number gain defines a subtype of poorly differentiated pulmonary adenocarcinomas with poor prognosis.

Authors:  Tobias Raphael Overbeck; Dana Alina Cron; Katja Schmitz; Achim Rittmeyer; Wolfgang Körber; Sara Hugo; Juliane Schnalke; Laura Lukat; Tabea Hugo; Marc Hinterthaner; Kirsten Reuter-Jessen; Tessa Rosenthal; Joachim Moecks; Annalen Bleckmann; Hans-Ulrich Schildhaus
Journal:  Transl Lung Cancer Res       Date:  2020-06

Review 2.  [Predictive value of PD-L1 diagnostics].

Authors:  H-U Schildhaus
Journal:  Pathologe       Date:  2018-11       Impact factor: 1.011

3.  Pathologists at the Leading Edge of Optimizing the Tumor Tissue Journey for Diagnostic Accuracy and Molecular Testing.

Authors:  Luis E De Las Casas; David G Hicks
Journal:  Am J Clin Pathol       Date:  2021-05-18       Impact factor: 2.493

Review 4.  Exploration of Feasible Immune Biomarkers for Immune Checkpoint Inhibitors in Head and Neck Squamous Cell Carcinoma Treatment in Real World Clinical Practice.

Authors:  Hui-Ching Wang; Tsung-Jang Yeh; Leong-Perng Chan; Chin-Mu Hsu; Shih-Feng Cho
Journal:  Int J Mol Sci       Date:  2020-10-15       Impact factor: 5.923

5.  PD-L1 immunohistochemistry for canine cancers and clinical benefit of anti-PD-L1 antibody in dogs with pulmonary metastatic oral malignant melanoma.

Authors:  Naoya Maekawa; Satoru Konnai; Maki Nishimura; Yumiko Kagawa; Satoshi Takagi; Kenji Hosoya; Hiroshi Ohta; Sangho Kim; Tomohiro Okagawa; Yusuke Izumi; Tatsuya Deguchi; Yukinari Kato; Satoshi Yamamoto; Keiichi Yamamoto; Mikihiro Toda; Chie Nakajima; Yasuhiko Suzuki; Shiro Murata; Kazuhiko Ohashi
Journal:  NPJ Precis Oncol       Date:  2021-02-12

6.  Tumor-Infiltrating Immune Cells and PD-L1 as Prognostic Biomarkers in Primary Esophageal Small Cell Carcinoma.

Authors:  Xiao Wu; Xiurong Ke; Yangpeng Ni; Liping Kuang; Fan Zhang; Yusheng Lin; Wan Lin; Xiao Xiong; Haihua Huang; Xianjie Lin; Hao Zhang
Journal:  J Immunol Res       Date:  2020-12-29       Impact factor: 4.818

7.  Associations between DNA Damage and PD-L1 Expression in Ovarian Cancer, a Potential Biomarker for Clinical Response.

Authors:  Elise K Mann; Kevin J Lee; Dongquan Chen; Luciana Madeira da Silva; Valeria L Dal Zotto; Jennifer Scalici; Natalie R Gassman
Journal:  Biology (Basel)       Date:  2021-04-29

Review 8.  "Interchangeability" of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy.

Authors:  Emina Torlakovic; Hyun J Lim; Julien Adam; Penny Barnes; Gilbert Bigras; Anthony W H Chan; Carol C Cheung; Jin-Haeng Chung; Christian Couture; Pierre O Fiset; Daichi Fujimoto; Gang Han; Fred R Hirsch; Marius Ilie; Diana Ionescu; Chao Li; Enrico Munari; Katsuhiro Okuda; Marianne J Ratcliffe; David L Rimm; Catherine Ross; Rasmus Røge; Andreas H Scheel; Ross A Soo; Paul E Swanson; Maria Tretiakova; Ka F To; Gilad W Vainer; Hangjun Wang; Zhaolin Xu; Dirk Zielinski; Ming-Sound Tsao
Journal:  Mod Pathol       Date:  2019-08-05       Impact factor: 7.842

Review 9.  The Challenge to the Pathologist of PD-L1 Expression in Tumor Cells of Non-Small-Cell Lung Cancer-An Overview.

Authors:  Korinna Jöhrens; Josef Rüschoff
Journal:  Curr Oncol       Date:  2021-12-08       Impact factor: 3.677

  9 in total

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