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Published on: September 25, 2018
Non-Small Cell Lung Cancer Testing on Reference Specimens: An Italian Multicenter Experience
Francesco Pepe1, Gianluca Russo1, Alessandro Venuta1
1Department of Public Health, Federico II University of Naples, Via S. Pansini, 5, 80131, Naples, Italy.
Optimized diagnostic workflows using artificial reference specimens are crucial for advanced non-small cell lung cancer (NSCLC) patient management. These specimens help improve predictive molecular analysis in routine clinical practice.
Area of Science:
- Oncology
- Molecular Diagnostics
- Cancer Research
Background:
- Biomarker testing is essential for managing advanced non-small cell lung cancer (NSCLC).
- Various technical platforms exist for biomarker analysis, differing in multiplexing, sensitivity, and turnaround time.
- Evaluating diagnostic workflow performance is critical for accurate patient care.
Purpose of the Study:
- To assess the technical performance of diagnostic workflows in Italian institutions for NSCLC biomarker analysis.
- To utilize artificial reference specimens to mimic routine diagnostic samples for evaluation.
- To identify areas for optimization in molecular testing procedures.
Main Methods:
- Distributed artificial reference specimens with specific mutations (EGFR, KRAS, ROS1, MET) to 24 Italian institutions.
- Collected methodological and molecular data from participating centers.
- Validated reference specimens independently before distribution.
Main Results:
- Median DNA concentrations varied between automated (3.3 ng/µL) and manual (13.4 ng/µL) procedures.
- Median RNA concentrations were 5.7 ng/µL (automated) and 9.3 ng/µL (manual).
- High detection rates for KRAS, EGFR, and ROS1 alterations; MET exon 14 skipping detected in 93.7% of centers.
Conclusions:
- Optimized technical workflows are vital for NSCLC patient decision-making.
- Artificial reference specimens are effective tools for optimizing diagnostic workflows.
- This approach enhances predictive molecular analysis in routine clinical practice.
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