quantitative-immunoblotting-cell-lines-as-standard-to-validate

Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples

Quantification of proteins of interest in formalin-fixed, paraffin-embedded (FFPE) tissue samples is important in clinical and research applications. An ...

Queen's University

Accumulating evidence indicates that tumor-infiltrating lymphocytes (TILs) are associated with clinical outcomes and may predict the efficacy of chemotherapy and human epidermal growth factor receptor 2 (HER2, encoded by the gene ERBB2)-targeted therapy in patients with HER2-positive breast cancer.

Role of Cytotoxic Tumor-Infiltrating Lymphocytes in Predicting Outcomes in Metastatic HER2-Positive Breast Cancer: A Secondary Analysis of a Randomized Clinical Trial.

Although generally indolent, follicular lymphoma (FL) sometimes pursues a more aggressive course leading to early death. B-cell-specific Mo-MLV insertion site-1 (BMI1) is a member of the polycomb group (PcG) proteins that confer stem cell properties through gene silencing. We used multi-channel immunofluorescence and automated image analysis to quantify BMI1 selectively in the nuclei of FL-derived B-cells in routine biopsy specimens. Applying this assay to 109 pretreatment FL biopsy samples demonstrates a significant association between abundant BMI1 and reduced overall survival (p = .001); the statistically significant association with mortality persists in a Cox proportional hazards model that includes Follicular Lymphoma International Prognostic Index (FLIPI) score, histological grade, and the presence of a component of diffuse large B-cell lymphoma in the biopsy sample. Ascertaining BMI1 over-expression may be useful in identifying patients who might benefit from novel therapies directed at reversing the chromatin-modifying functions of BMI1.

Abundant expression of BMI1 in follicular lymphoma is associated with reduced overall survival.

The nuclear proliferation biomarker Ki67 has potential prognostic, predictive, and monitoring roles in breast cancer. Unacceptable between-laboratory variability has limited its clinical value. The International Ki67 in Breast Cancer Working Group investigated whether Ki67 immunohistochemistry can be analytically validated and standardized across laboratories using automated machine-based scoring. Sets of pre-stained core-cut biopsy sections of 30 breast tumors were circulated to 14 laboratories for scanning and automated assessment of the average and maximum percentage of tumor cells positive for Ki67. Seven unique scanners and 10 software platforms were involved in this study. Pre-specified analyses included evaluation of reproducibility between all laboratories (primary) as well as among those using scanners from a single vendor (secondary). The primary reproducibility metric was intraclass correlation coefficient between laboratories, with success considered to be intraclass correlation coefficient >0.80. Intraclass correlation coefficient for automated average scores across 16 operators was 0.83 (95% credible interval: 0.73-0.91) and intraclass correlation coefficient for maximum scores across 10 operators was 0.63 (95% credible interval: 0.44-0.80). For the laboratories using scanners from a single vendor (8 score sets), intraclass correlation coefficient for average automated scores was 0.89 (95% credible interval: 0.81-0.96), which was similar to the intraclass correlation coefficient of 0.87 (95% credible interval: 0.81-0.93) achieved using these same slides in a prior visual-reading reproducibility study. Automated machine assessment of average Ki67 has the potential to achieve between-laboratory reproducibility similar to that for a rigorously standardized pathologist-based visual assessment of Ki67. The observed intraclass correlation coefficient was worse for maximum compared to average scoring methods, suggesting that maximum score methods may be suboptimal for consistent measurement of proliferation. Automated average scoring methods show promise for assessment of Ki67 scoring, but requires further standardization and subsequent clinical validation.

Shakeel Virk

Queen's Laboratory for Molecular Pathology,
Department of Pathology and Molecular Medicine,
Queen's Laboratory for Molecular Pathology, Department of Pathology and Molecular Medicine

Queen's University

Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples

Shakeel Virk

Queen's Laboratory for Molecular Pathology,Department of Pathology and Molecular Medicine,Queen's Laboratory for Molecular Pathology, Department of Pathology and Molecular Medicine

Queen's University

Quantitative Immunoblotting of Cell Lines as a Standard to Validate Immunofluorescence for Quantifying Biomarker Proteins in Routine Tissue Samples

Queen's Laboratory for Molecular Pathology,
Department of Pathology and Molecular Medicine,
Queen's Laboratory for Molecular Pathology, Department of Pathology and Molecular Medicine