Literature DB >> 29607663

Optimal Evaluation of Programmed Death Ligand-1 on Tumor Cells Versus Immune Cells Requires Different Detection Methods.

Kelly A Schats, Emily A Van Vré, Carolien Boeckx, Martine De Bie, Dorien M Schrijvers, Bart Neyns, Ingrid De Meester, Mark M Kockx1.   

Abstract

CONTEXT: - The benefit of programmed death ligand-1 (PD-L1) immunohistochemistry (IHC) as a method to select patients who may benefit from programmed death receptor-1 (PD-1)/PD-L1 immunotherapies remains uncertain in many tumor indications.
OBJECTIVES: - To compare the commercially available, approved PD-L1 IHC assays (22C3, 28-8, SP142, SP263), specifically identifying the changes in staining output created by altering the detection method.
DESIGN: - This pilot study investigates the respective PD-L1 kit assay staining patterns and related scoring of tumor cells and immune cells on lung carcinoma and melanoma. Furthermore, the influence of the detection method (platform and related reagents) on PD-L1 antibody performance is studied.
RESULTS: - The SP142 kit reveals more immune cell staining but less tumor cell staining than the other PD-L1 kits. Alternatively, the 22C3 and 28-8 kits show good tumor cell sensitivity, but less pronounced immune cell staining, even in tonsil. Tumor cell staining by the SP263 kit is comparable to that of 22C3 and 28-8 kits, while immune cell staining is better. Strikingly, the selection of the detection method has a major impact on the sensitivity of the assay for PD-L1 detection per cell type. Switching the detection method of the kits could largely circumvent the observed staining differences.
CONCLUSIONS: - The diverse sensitivities caused by the choice of the detection method should be taken into consideration when selecting PD-L1 kits or developing PD-L1 IHC laboratory-developed tests. When using alternative kits or laboratory-developed tests, it is strongly recommended to reestablish their clinical utility per therapeutic agent or compare them with the original kit.

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Year:  2018        PMID: 29607663     DOI: 10.5858/arpa.2017-0159-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  9 in total

1.  Removal of N-Linked Glycosylation Enhances PD-L1 Detection and Predicts Anti-PD-1/PD-L1 Therapeutic Efficacy.

Authors:  Heng-Huan Lee; Ying-Nai Wang; Weiya Xia; Chia-Hung Chen; Kun-Ming Rau; Leiguang Ye; Yongkun Wei; Chao-Kai Chou; Shao-Chun Wang; Meisi Yan; Chih-Yen Tu; Te-Chun Hsia; Shu-Fen Chiang; K S Clifford Chao; Ignacio I Wistuba; Jennifer L Hsu; Gabriel N Hortobagyi; Mien-Chie Hung
Journal:  Cancer Cell       Date:  2019-07-18       Impact factor: 31.743

Review 2.  The impact of PD-L1 N-linked glycosylation on cancer therapy and clinical diagnosis.

Authors:  Ying-Nai Wang; Heng-Huan Lee; Jennifer L Hsu; Dihua Yu; Mien-Chie Hung
Journal:  J Biomed Sci       Date:  2020-07-03       Impact factor: 8.410

3.  Prognostic perspectives of PD-L1 combined with tumor-infiltrating lymphocytes, Epstein-Barr virus, and microsatellite instability in gastric carcinomas.

Authors:  Euno Choi; Mee Soo Chang; Sun-Ju Byeon; Heejin Jin; Kyeong Cheon Jung; Haeryoung Kim; Kook Lae Lee; Won Kim; Jin Hyun Park; Ki Hwan Kim; Jin-Soo Kim; In Sil Choi; Dong-Seok Han; Hye Seong Ahn; Seung Chul Heo
Journal:  Diagn Pathol       Date:  2020-06-04       Impact factor: 2.644

4.  Single Domain Antibody-Mediated Blockade of Programmed Death-Ligand 1 on Dendritic Cells Enhances CD8 T-cell Activation and Cytokine Production.

Authors:  Katrijn Broos; Quentin Lecocq; Brenda De Keersmaecker; Geert Raes; Jurgen Corthals; Eva Lion; Kris Thielemans; Nick Devoogdt; Marleen Keyaerts; Karine Breckpot
Journal:  Vaccines (Basel)       Date:  2019-08-07

5.  External quality assessment demonstrates that PD-L1 22C3 and SP263 assays are systematically different.

Authors:  Andrew Dodson; Suzanne Parry; Birgit Lissenberg-Witte; Alex Haragan; David Allen; Anthony O'Grady; Emma McClean; Jamie Hughes; Keith Miller; Erik Thunnissen
Journal:  J Pathol Clin Res       Date:  2019-12-17

6.  Interobserver Agreement of PD-L1/SP142 Immunohistochemistry and Tumor-Infiltrating Lymphocytes (TILs) in Distant Metastases of Triple-Negative Breast Cancer: A Proof-of-Concept Study. A Report on Behalf of the International Immuno-Oncology Biomarker Working Group.

Authors:  Mieke R Van Bockstal; Maxine Cooks; Iris Nederlof; Mariël Brinkhuis; Annemiek Dutman; Monique Koopmans; Loes Kooreman; Bert van der Vegt; Leon Verhoog; Celine Vreuls; Pieter Westenend; Marleen Kok; Paul J van Diest; Inne Nauwelaers; Nele Laudus; Carsten Denkert; David Rimm; Kalliopi P Siziopikou; Scott Ely; Dimitrios Zardavas; Mustimbo Roberts; Giuseppe Floris; Johan Hartman; Balazs Acs; Dieter Peeters; John M S Bartlett; Els Dequeker; Roberto Salgado; Fabiola Giudici; Stefan Michiels; Hugo Horlings; Carolien H M van Deurzen
Journal:  Cancers (Basel)       Date:  2021-09-29       Impact factor: 6.639

7.  PD-L1 (SP142) testing is concordant between Benchmark Ultra and Bond-III stainers.

Authors:  Eva Compérat; André Oszwald; Gabriel Wasinger; Justine Wacquet; Morgan Rouprêt; Olivier Cussenot
Journal:  World J Urol       Date:  2021-09-13       Impact factor: 4.226

8.  Optimal PD-L1-high cutoff for association with overall survival in patients with urothelial cancer treated with durvalumab monotherapy.

Authors:  Magdalena Zajac; Jiabu Ye; Pralay Mukhopadhyay; Xiaoping Jin; Yong Ben; Joyce Antal; Ashok K Gupta; Marlon C Rebelatto; J Andrew Williams; Jill Walker
Journal:  PLoS One       Date:  2020-04-27       Impact factor: 3.240

9.  Comparison of continuous measures across diagnostic PD-L1 assays in non-small cell lung cancer using automated image analysis.

Authors:  Moritz Widmaier; Tobias Wiestler; Jill Walker; Craig Barker; Marietta L Scott; Farzad Sekhavati; Alexei Budco; Katrin Schneider; Felix J Segerer; Keith Steele; Marlon C Rebelatto
Journal:  Mod Pathol       Date:  2019-09-16       Impact factor: 7.842

  9 in total

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