Literature DB >> 31778799

Interobserver Reliability of Programmed Cell Death Ligand-1 Scoring Using the VENTANA PD-L1 (SP263) Assay in NSCLC.

Gareth H Williams1, Andrew G Nicholson2, David R J Snead3, Erik Thunnissen4, Sylvie Lantuejoul5, Paul Cane6, Keith M Kerr7, Marco Loddo8, Marietta L J Scott9, Paul W Scorer9, Craig Barker9.   

Abstract

INTRODUCTION: The VENTANA PD-L1 (SP263) Assay is approved for use with anti-programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) therapies in NSCLC and urothelial carcinoma. Here, we investigate interobserver reliability of the SP263 assay, applied to PD-L1 scoring of tumor cells (TCs) in NSCLC.
METHODS: Six practicing European pulmonary pathologists independently scored the proportion of TCs expressing PD-L1 (TC score) from 200 archival, commercially sourced, formalin-fixed paraffin-embedded NSCLC resections stained using the SP263 assay. Agreement in scores was analyzed using the intraclass correlation coefficient and concordance in patient's classification using Fleiss' kappa.
RESULTS: Results from 172 samples showed strong pair-wise correlations between pathologists (R2 >0.89) for TC scoring with an intraclass correlation coefficient of 0.96. Overall agreement was greater than 90% for TC of 1% and above, and greater than 94% for TCs of at least 25% and at least 50%. Fleiss' kappa showed substantial agreement for TC of 1% and above, and almost perfect agreement for TCs of at least 25% and at least 50%.
CONCLUSIONS: Assessment of TC score in NSCLC was highly reproducible using the SP263 assay, building confidence in the accuracy of this assay in selection of patients for anti-PD-1/PD-L1 therapy.
Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Assay reliability; Immunohistochemistry; Interobserver concordance; Programmed cell death ligand-1; SP263

Year:  2019        PMID: 31778799     DOI: 10.1016/j.jtho.2019.11.010

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


  8 in total

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3.  Prognostic Impact of PD-L1 Expression in pN1 NSCLC: A Retrospective Single-Center Analysis.

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4.  Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.

Authors:  Liesbeth M Hondelink; Melek Hüyük; Pieter E Postmus; Vincent T H B M Smit; Sami Blom; Jan H von der Thüsen; Danielle Cohen
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5.  Concordance of PD-L1 Status Between Image-Guided Percutaneous Biopsies and Matched Surgical Specimen in Non-Small Cell Lung Cancer.

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  8 in total

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