Literature DB >> 31822512

Multicentre study on the consistency of PD-L1 immunohistochemistry as predictive test for immunotherapy in non-small cell lung cancer.

Rogier Butter1, Nils A 't Hart2, Gerrit K J Hooijer3, Kim Monkhorst4, Ernst-Jan Speel5, Paul Theunissen6, Erik Thunnissen7, Jan H Von der Thüsen8, Wim Timens2, Marc J van de Vijver3,9.   

Abstract

AIMS: Investigate the impact of interlaboratory- and interobserver variability of immunohistochemistry on the assessment of programmed death ligand 1 (PD-L1) in non-small cell lung cancer (NSCLC).
METHODS: Two tissue microarrays (TMAs) were constructed from 50 (TMA-A) and 51 (TMA-B) resected NSCLC cases, and distributed among eight centres. Immunostaining for PD-L1 was performed using Agilent's 22C3 pharmDx Assay (pharmDx) and/or a 22C3 laboratory developed test (LDT). The interlaboratory variability of staining- and interobserver variability of scoring for PD-L1 were assessed in selected critical samples (samples at the cut-off of positivity) and non-critical samples. Also, PD-L1 epitope deterioration in time in stored unstained slides was analysed. Krippendorff's alpha values (0=maximal, 1=no variability) were calculated as measure for variability.
RESULTS: For interlaboratory variability of immunostaining, the percentage of PD-L1 positive cases among centres ranged 40%-51% (1% cut-off) and 23%-30% (50% cut-off). Alpha values at 1% cut-off were 0.88 (pharmDx) and 0.87 (LDT) and at 50% cut-off 0.82 (pharmDx) and 0.95 (LDT). Interobserver variability of scoring resulted in PD-L1 positive cases ranging 29%-55% (1% cut-off) and 14%-30% (50% cut-off) among pathologists. Alpha values were at 1% cut-off 0.83 (TMA-A) and 0.66 (TMA-B), and at 50% cut-off 0.77 (TMA-A) and 0.78 (TMA-B). Interlaboratory variability of staining was higher (p<0.001) in critical samples than in non-critical samples at 50% cut-off. Furthermore, PD-L1 epitope deterioration in unstained slides was observed after 12 weeks.
CONCLUSIONS: The results provide insight in factors contributing to variability of immunohistochemical assessment of PD-L1, and contribute to more reliable predictive testing for PD-L1. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  histopathology; immunohistochemistry; lung cancer; oncology; pulmonary pathology

Mesh:

Substances:

Year:  2019        PMID: 31822512     DOI: 10.1136/jclinpath-2019-205993

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  4 in total

1.  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
Journal:  Histopathology       Date:  2021-11-16       Impact factor: 7.778

Review 2.  Selected highlights of the 2019 Pulmonary Pathology Society Biennial Meeting: PD-L1 test harmonization studies.

Authors:  Sylvie Lantuejoul; Francesca Damiola; Julien Adam
Journal:  Transl Lung Cancer Res       Date:  2020-06

3.  Translating KEYNOTE-048 into practice recommendations for head and neck cancer.

Authors:  Petr Szturz; Jan B Vermorken
Journal:  Ann Transl Med       Date:  2020-08

4.  Detection of NTRK Fusions and TRK Expression and Performance of pan-TRK Immunohistochemistry in Routine Diagnostics: Results from a Nationwide Community-Based Cohort.

Authors:  Bart Koopman; Chantal C H J Kuijpers; Harry J M Groen; Wim Timens; Ed Schuuring; Stefan M Willems; Léon C van Kempen
Journal:  Diagnostics (Basel)       Date:  2022-03-09
  4 in total

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