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NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.
Leah Rowland Herdt1, Paige Berroteran1, Malini Rajagopalan1
1ChromaCode Inc., 2330 Faraday Ave, Carlsbad, CA 92008, USA.
Diagnostics (Basel, Switzerland)
|February 10, 2024
Summary
Digital PCR (dPCR) accurately identifies non-small cell lung cancer (NSCLC) mutations in low-input DNA/RNA samples. This method is more sensitive than next-generation sequencing (NGS) for molecular testing in NSCLC patients.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genetics
Background:
- Molecular diagnostics have improved non-small cell lung cancer (NSCLC) survival rates.
- However, over half of NSCLC patients in the US lack adequate molecular testing.
- This gap highlights a need for more sensitive and accessible diagnostic methods.
Purpose of the Study:
- To investigate the relationship between nucleic acid input quantity, molecular testing methodology, and test success rates.
- To compare the performance of digital PCR (dPCR) and next-generation sequencing (NGS) using low-input samples.
- To evaluate the accuracy of dPCR for detecting clinically relevant NSCLC mutations.
Main Methods:
- Utilized a shared set of low-input reference test materials (n=3).
- Compared a hybrid capture-based NGS assay with a multiplexed dPCR panel.
- Conducted dilution studies with DNA (1-40 ng) and RNA (2.5-20 ng).
- Assessed performance on 23 banked clinical samples.
Main Results:
- dPCR demonstrated high sensitivity and specificity across a wide range of low-input DNA and RNA.
- NGS exhibited up to an 86% loss in sensitivity with serially diluted samples.
- dPCR showed high positive predictive agreement (>95%) at low input levels (15/7.5 ng DNA/RNA).
Conclusions:
- Digital PCR is a sensitive and accurate method for identifying NSCLC mutations, even with limited nucleic acid input.
- dPCR offers a viable alternative to NGS for molecular testing when sample quality or quantity is a concern.
- Improving molecular testing accessibility can enhance patient care for NSCLC.

