Implementation of PD-L1 22C3 IHC pharmDxTM in Cell Block Preparations of Lung Cancer: Concordance with Surgical Resections and Technical Validation of CytoLyt® Prefixation.


Journal

Acta cytologica
ISSN: 1938-2650
Titre abrégé: Acta Cytol
Pays: Switzerland
ID NLM: 0370307

Informations de publication

Date de publication:
2020
Historique:
received: 10 02 2020
accepted: 29 04 2020
pubmed: 1 7 2020
medline: 13 11 2020
entrez: 30 6 2020
Statut: ppublish

Résumé

Programmed death ligand-1 (PD-L1) assessed by immunohistochemistry (IHC) is used as biomarker for pembrolizumab therapy in advanced stage lung cancer patients. However, data permitting direct performance comparison between cytology and surgical specimen types are limited since both specimens from a single tumor site are infrequently available. In addition, alcohol fixation used with cytology specimens requires technical validation of the PD-L1 IHC assay before clinical use. We here report our experience with implementation of the PD-L1 22C3 IHC pharmDxTM assay for cytologic samples at a large tertiary cancer center. Archival formalin-fixed (FF), paraffin-embedded cell blocks (CBs) and subsequent lung tumor resections (LTRs) from the same anatomical site were used for a direct comparison of PD-L1 tumor proportion scores (TPSs). TPS values were independently determined by one surgical lung pathologist and two cytopathologists blinded to the specimen pairs. An interim analysis was performed to facilitate the pooling of expertise among observers. After PD-L1 22C3 IHC pharmDxTM implementation for FF cytology specimens, dual-processed samples were used for a prospective technical validation of CytoLyt® prefixation (CF). Digital image analysis was performed for a subset of dual-processed specimens. Eighty-one CBs and LTRs were included for comparison of the specimen types. PD-L1 assessment in CBs had an accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 88.9/72.8, 66.7/73.5, 95.2/72.3, 80.0/65.8, and 90.9/79.1% for the ≥50/≥1% cutoff, respectively. The intraclass correlation coefficient was 0.84 (95% confidence interval [CI]: 0.76, 0.90), and it improved after interim analysis (before: 0.79 and after: 0.92). The overall concordance between CF and FF for the categories defined by the ≥50/≥1% cutoff values was 90.4% (95% CI: 79.0, 96.8). Similar assay performance was confirmed by digital analysis. PD-L1 22C3 IHC pharmDxTM shows good reliability if used with CB preparations. CF does not impact assay results significantly. Clinical validation with outcome data is needed, and digital methods of assessment should be further investigated.

Sections du résumé

BACKGROUND BACKGROUND
Programmed death ligand-1 (PD-L1) assessed by immunohistochemistry (IHC) is used as biomarker for pembrolizumab therapy in advanced stage lung cancer patients. However, data permitting direct performance comparison between cytology and surgical specimen types are limited since both specimens from a single tumor site are infrequently available. In addition, alcohol fixation used with cytology specimens requires technical validation of the PD-L1 IHC assay before clinical use. We here report our experience with implementation of the PD-L1 22C3 IHC pharmDxTM assay for cytologic samples at a large tertiary cancer center.
STUDY DESIGN METHODS
Archival formalin-fixed (FF), paraffin-embedded cell blocks (CBs) and subsequent lung tumor resections (LTRs) from the same anatomical site were used for a direct comparison of PD-L1 tumor proportion scores (TPSs). TPS values were independently determined by one surgical lung pathologist and two cytopathologists blinded to the specimen pairs. An interim analysis was performed to facilitate the pooling of expertise among observers. After PD-L1 22C3 IHC pharmDxTM implementation for FF cytology specimens, dual-processed samples were used for a prospective technical validation of CytoLyt® prefixation (CF). Digital image analysis was performed for a subset of dual-processed specimens.
RESULTS RESULTS
Eighty-one CBs and LTRs were included for comparison of the specimen types. PD-L1 assessment in CBs had an accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of 88.9/72.8, 66.7/73.5, 95.2/72.3, 80.0/65.8, and 90.9/79.1% for the ≥50/≥1% cutoff, respectively. The intraclass correlation coefficient was 0.84 (95% confidence interval [CI]: 0.76, 0.90), and it improved after interim analysis (before: 0.79 and after: 0.92). The overall concordance between CF and FF for the categories defined by the ≥50/≥1% cutoff values was 90.4% (95% CI: 79.0, 96.8). Similar assay performance was confirmed by digital analysis.
CONCLUSIONS CONCLUSIONS
PD-L1 22C3 IHC pharmDxTM shows good reliability if used with CB preparations. CF does not impact assay results significantly. Clinical validation with outcome data is needed, and digital methods of assessment should be further investigated.

Identifiants

pubmed: 32599583
pii: 000508628
doi: 10.1159/000508628
pmc: PMC7677989
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
B7-H1 Antigen 0
Biomarkers, Tumor 0
CD274 protein, human 0
pembrolizumab DPT0O3T46P

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

577-587

Informations de copyright

© 2020 The Author(s) Published by S. Karger AG, Basel.

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Auteurs

Si Kei Lou (SK)

Division of Pathology, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Hyang Mi Ko (HM)

Division of Pathology, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Tomonari Kinoshita (T)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.

Scott MacDonald (S)

Division of Pathology, University Health Network, Toronto, Ontario, Canada.

Jessica Weiss (J)

Division of Biostatistics, University Health Network, Toronto, Ontario, Canada.

Katarzyna Czarnecka-Kujawa (K)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.
Division of Respirology, University Health Network, Toronto, Ontario, Canada.

Scott L Boerner (SL)

Division of Pathology, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Kazuhiro Yasufuku (K)

Division of Thoracic Surgery, University Health Network, Toronto, Ontario, Canada.
Division of Surgical Oncology, University Health Network, Toronto, Ontario, Canada.

Ming-Sound Tsao (MS)

Division of Pathology, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Joerg Schwock (J)

Division of Pathology, University Health Network, Toronto, Ontario, Canada, joerg.schwock@uhn.ca.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada, joerg.schwock@uhn.ca.

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