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Interassay and interobserver comparability study of four programmed death-ligand 1 (PD-L1) immunohistochemistry assays in triple-negative breast cancer

Aurelia Noske, Daniel‐Christoph Wagner, Kristina Schwamborn, Sebastian Foersch, Katja Steiger, Marion Kiechle, Dirk Oettler, Siranush Karapetyan, Alexander Hapfelmeier, Wilfried Roth, Wilko Weichert

2021The Breast35 citationsDOIOpen Access PDF

Abstract

Different immunohistochemical programmed death-ligand 1 (PD-L1) assays and scorings have been reported to yield variable results in triple-negative breast cancer (TNBC). We compared the analytical concordance and reproducibility of four clinically relevant PD-L1 assays assessing immune cell (IC) score, tumor proportion score (TPS), and combined positive score (CPS) in TNBC. Primary TNBC resection specimens (n = 104) were stained for PD-L1 using VENTANA SP142, VENTANA SP263, DAKO 22C3, and DAKO 28-8. PD-L1 expression was scored according to guidelines on virtual whole slide images by four trained readers. The mean PD-L1 positivity at IC-score ≥1% and CPS ≥1 ranged between 53% and 75% with the highest positivity for SP263 and comparable levels for 22C3, 28-8, and SP142. Inter-assay agreement was good between 28-8 and 22C3 across all scores and cut-offs (kappa 0.68-0.74) and for both assays with SP142 at IC-score ≥1% and CPS ≥1 (kappa 0.61-0.67). The agreement between SP263 and all other assays was substantially lower for all scores. Inter-reader agreement for each assay was good to excellent for IC-score ≥1% (kappa 0.73-0.78) and CPS ≥1 (kappa 0.68-0.74), fair to good for CPS ≥10 (kappa 0.52-0.67) and TPS ≥1% (kappa 0.53-0.72). The percentage of overlapping cases in the positive/negative category was >90% between IC-score ≥1% and CPS ≥1 but below when comparing IC-score ≥1% with CPS ≥10. We demonstrate an overall good inter-reader agreement for all PD-L1 assays in TNBC along with assay specific differences in positivity and concordances, which may aid to select the right test strategy in routine diagnostics.

Topics & Concepts

ConcordanceKappaMedicineImmunohistochemistryTriple-negative breast cancerBreast cancerReproducibilityPathologyInternal medicineOncologyNuclear medicineCancerMathematicsLinguisticsPhilosophyStatisticsCancer Immunotherapy and BiomarkersCancer Genomics and DiagnosticsRadiomics and Machine Learning in Medical Imaging