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Analytical performance of a bronchial genomic classifier.
Zhanzhi Hu1, Duncan Whitney2, Jessica R Anderson3
1Veracyte, Inc., 6000 Shoreline Ct., Suite 300, South San Francisco, CA, 94080, USA. mike@veracyte.com.
BMC Cancer
|February 28, 2016
Summary
The Percepta bronchial genomic classifier accurately classifies lung lesions from bronchial brushing specimens. This test demonstrates strong analytical sensitivity, specificity, and reproducibility for clinical use.
Area of Science:
- Pulmonary Medicine
- Genomic Diagnostics
- Molecular Pathology
Background:
- Lung lesion diagnosis often yields inconclusive results, necessitating invasive follow-up procedures due to a high rate of benign lesions.
- The Percepta bronchial genomic classifier was developed to improve lung nodule and lesion classification from bronchoscopy specimens.
- Existing diagnostic methods for lung lesions can be invasive and lead to unnecessary procedures.
Purpose of the Study:
- To report the analytical performance of the Percepta bronchial genomic classifier.
- To evaluate the stability, sensitivity, specificity, and reproducibility of the Percepta test.
Main Methods:
- Analyzed RNA stability in bronchial brushing specimens under various conditions.
- Determined analytical sensitivity based on RNA input mass.
- Assessed analytical specificity by testing for interference from blood and genomic DNA.
- Evaluated assay reproducibility across different operators, runs, reagent lots, and laboratories.
Main Results:
- RNA in specimens is stable for up to 20 days at 4°C.
- The assay is tolerant to variations in RNA input (157-243 ng).
- No interference was observed from blood or genomic DNA up to 10% input mass.
- High reproducibility was confirmed, with a standard deviation of 0.26 for scores on a >6 unit scale.
Conclusions:
- The Percepta test demonstrated strong analytical sensitivity and specificity.
- The robustness and reproducibility of the Percepta test were verified.
- These findings support the clinical utility of the Percepta bronchial genomic classifier for lung lesion diagnosis.

