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Interobserver and Interantibody Reproducibility of HER2 Immunohistochemical Scoring in an Enriched HER2-Low–Expressing Breast Cancer Cohort

Cansu Karakaş, Haley Tyburski, Bradley M. Turner, Xi Wang, Linda Schiffhauer, Hani Katerji, David G. Hicks, Huina Zhang

2023American Journal of Clinical Pathology62 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: We assessed the interobserver and interantibody reproducibility of HER2 immunohistochemical scoring in an enriched HER2-low-expressing breast cancer cohort. METHODS: A total of 114 breast cancer specimens were stained by HercepTest (Agilent Dako) and PATHWAY anti-HER2 (4B5) (Ventana) antibody assays and scored by 6 breast pathologists independently using current HER2 guidelines. Level of agreement was evaluated by Cohen κ analysis. RESULTS: Although the interobserver agreement rate for both antibodies achieved substantial agreement, the average rate of agreement for HercepTest was significantly higher than that for the 4B5 clone (74.3% vs 65.1%; P = .002). The overall interantibody agreement rate between the 2 antibodies was 57.8%. Complete interobserver concordance was achieved in 44.7% of cases by HercepTest and 45.6% of cases by 4B5. Absolute agreement rates increased from HER2 0-1+ cases (78.1% by HercepTest and 72.2% by 4B5; moderate agreement) to 2-3+ cases (91.9% by HercepTest and 86.3% by 4B5; almost perfect agreement). CONCLUSIONS: Our results demonstrated notable interobserver and interantibody variation on evaluating HER2 immunohistochemistry, especially in cases with scores of 0-1+, although the performance was much more improved among breast-specialized pathologists with the awareness of HER2-low concept. More accurate and reproducible methods are needed for selecting patients who may benefit from the newly approved HER2-targeting agent on HER2-low breast cancers.

Topics & Concepts

ConcordanceMedicineBreast cancerImmunohistochemistryReproducibilityInternal medicineCohortOncologyCancerKappaPathologyLinguisticsMathematicsStatisticsPhilosophyHER2/EGFR in Cancer ResearchBreast Cancer Treatment StudiesAdvanced Biosensing Techniques and Applications