Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved Benchmark.
Journal:
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published Date:
Jun 12, 2025
Abstract
Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has significant inter-laboratory heterogeneity. This study assessed the impact of antibody clones by comparing the Ki-67 IHC MIB-1 pharmDx assay (Dako Omnis) with clones MIB-1 (Dako Autostainer Link 48 platform), K2 (Leica BOND-III platform), and 30-9 (Ventana BenchMark ULTRA platform) used in Ki-67 laboratory-developed IHC tests. Breast cancer tissue microarrays were processed and stained in 2 central laboratories per manufacturer instructions. Digitized images were assessed by 5 pathologists before and after training on the reference scoring algorithm. Results were compared with results obtained by an artificial intelligence software for biomarker assessment (Mindpeak Breast Ki-67). Positive percent agreement (sensitivity), negative percent agreement (specificity), and overall percent agreement were calculated against the reference assay for the 20% cutoff, with exploratory analysis conducted for 5%, 10%, and 30% cutoffs. At the 20% cutoff, none of the laboratory-developed IHC tests achieved high overall agreement with the reference assay (predetermined as ≥85%). Both clones MIB-1 on Dako Autostainer Link 48 (sensitivity=24.8% [95% confidence intervals (CI)=20.2%-29.9%]; specificity=99.5% [95% CI=98.6%-99.8%]) and K2 on Leica BOND-III (sensitivity=25.1% [95% CI=20.5%-30.3%]; specificity=100% [95% CI=99.4%-100%]) had specificity comparable to that of the reference test, while clone 30-9 (Ventana BenchMark ULTRA) differed substantively in specificity from the reference assay in these measures (sensitivity=99.3% [95% CI=97.6%-99.8%]; specificity=53.6% [95% CI=49.6%-57.5%]). Intraclass correlation coefficient (ICC) for each pathologist ranged from 0.6 to 0.8, indicating good consistency across pathologists with little variability (variance component=7.1 [95% CI=2.1-29.7]). Training did not substantively alter within-assay or within-pathologist agreement. Ki-67 artificial intelligence analysis (ICC, 0.7; 95% CI: 0.4-0.9) was comparable to pathologists' assessment (ICC range, 0.6-0.8). Commonly used IHC assays for Ki-67 assessment in breast cancer can significantly vary. Pathologists should be aware of variables that may impact Ki-67 interpretation and look to standardize biomarker assessments for early breast cancer patient care.
Authors
Keywords
No keywords available for this article.
