BMC Cancer · 2014 · 17 citations · 26 references
MedicineEndocrinologyOncologyMolecular OncologyPrecision MedicinePrecision OncologyBioanalytical Method ValidationBiomarker ValidationCancer BiomarkersEndocrine AssessmentImmunohistochemistryProstate CancerAndrogen Receptor ExpressionAndrogen Receptor RegulationBiomarker Assay DevelopmentBiomarker Assay SpecificityDiagnostic ImmunohistochemistryImmunohistochemistry AssaysIncurred Sample ReanalysisProstate Cancer Diagnosis
BACKGROUND: AZD3514 inhibits and down regulates the androgen receptor (AR) and has undergone clinical trials in prostate cancer. To provide proof-of-mechanism (POM) in patients, an immunohistochemistry (IHC) method for determination of AR in circulating tumour cells (CTC) was developed and validated. METHODS: After an assessment of specificity validation focused on intra- and inter-operator reproducibility utilising a novel modification of incurred sample reanalysis (ISR). β-Content γ-confidence tolerance intervals (BCTI) and Cohen's Kappa (κ) were employed in statistical analysis of results. RESULTS: In a first set of IHC reproducibility experiments, almost perfect agreement was recorded (κ=0.94) when two different operators scored CTC as overall positive or negative for AR. However, BCTI analysis identified a specific bias in scoring staining intensity, where one operator favoured moderate over strong assignments, whereas the reverse was the case with the second operator. After a period of additional training involving deployment of a panel of standardised images, a second set of validation experiments were conducted. These showed correction of the inter-operator bias by BCTI with κ for scoring intensity increasing from 0.59 to 0.81, indicative of almost perfect agreement. CONCLUSIONS: By application of BCTI to the validation of IHC, operator bias and therefore poor reproducibility can be identified, characterised and corrected to achieve a level of error normally associated with a quantitative biomarker assay, such as an ELISA. The methodological approach described herein can be applied to any generic IHC technique.
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The Measurement of Observer Agreement for Categorical Data
J. Richard Landis, Gary G. Koch · Biometrics · 1977 · 78.9K citations · Full text
Isolation by Size of Epithelial Tumor Cells
Giovanna Vona, Abdelmajid Sabile, Malek Louha et al. · American Journal Of Pathology · 2000 · 1.1K citations · Full text