Dataset Information

NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.

ABSTRACT: Molecular diagnostics has drastically improved the survival rate of patients diagnosed with non-small cell lung cancer (NSCLC) over the last 10 years. Despite advancements in molecular testing, targeted therapies, and national guideline recommendations, more than half of NSCLC patients in the United States either never receive testing or patient care is not informed via molecular testing. Here, we sought to explore the relationship between DNA/RNA input, the molecular testing method, and test success rates. On a shared set of low-input reference test materials (n = 3), we ran both a hybrid capture-based, next-generation sequencing (NGS) assay and a multiplexed digital PCR (dPCR) panel. The dPCR panel was highly sensitive and specific for low-input samples in dilution studies ranging from 40 to 1 ng DNA and from 20 to 2.5 ng RNA, while NGS had up to an 86% loss in sensitivity as contrived sample inputs were serially diluted. The dPCR panel also demonstrated a high PPA (>95%) at diluted inputs as low as 15/7.5 ng DNA/RNA on 23 banked clinical samples with the same NGS hybrid capture assay at a high input. These data suggest that digital PCR is an accurate and effective way of identifying clinically relevant NSCLC mutations at low nucleotide input and quality.

SUBMITTER: Herdt LR

PROVIDER: S-EPMC10854965 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.

Herdt Leah Rowland LR Berroteran Paige P Rajagopalan Malini M Brown Bradley A BA Schwartz Jerrod J JJ

Diagnostics (Basel, Switzerland) 20240124 3

Molecular diagnostics has drastically improved the survival rate of patients diagnosed with non-small cell lung cancer (NSCLC) over the last 10 years. Despite advancements in molecular testing, targeted therapies, and national guideline recommendations, more than half of NSCLC patients in the United States either never receive testing or patient care is not informed via molecular testing. Here, we sought to explore the relationship between DNA/RNA input, the molecular testing method, and test su ...[more]

PMID: 38337759

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Project description:Digital polymerase chain reaction (dPCR) is a powerful tool for genetic analysis, providing superior sensitivity and accuracy. In many applications that demand minuscule reaction volumes, such as single cell analysis, efficient and reproducible sample handling and digitization is pivotal for accurate absolute quantification of targets, but remains a significant technical challenge. In this paper, we described a robust and flexible microfluidic alternating-pull-push active digitization (μAPPAD) strategy that confers close to 100% sample digitization efficiency for microwell-based dPCR. Our strategy employs pneumatic valve control to periodically manipulate air pressure inside the chip to greatly facilitate the vacuum-driven partition of solution into microwells, enabling efficient digitization of a small-volume solution with significantly reduced volume variability. The μAPPAD method was evaluated on both tandem-channel and parallel-channel chips, which achieved a digitization efficiency of 99.5 ± 0.3% and 94.6 ± 0.9% within 10.5 min and 2 min, respectively. To assess the analytical performance of the μAPPAD chip, we calibrated it for absolution dPCR quantitation of λDNA across a range of concentrations. The results obtained with our chip matched well with the theoretical curve computed from Poisson statistics. Compared to the existing methods for highly efficient sample digitization, not only does our technology greatly reduce the constraints on microwell geometries and channel design, but also benefits from the intrinsic amenability of the pneumatic valve technique with device integration and automation. Thus we envision that the μAPPAD technology will provide a scalable and widely adaptable platform to promote the development of advanced lab-on-a-chip systems integrating microscale sample processing with dPCR for a broad scope of applications, such as single cell analysis of tumor heterogeneity and genetic profiling of circulating exosomes directly in clinical samples.

Dataset Information

NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.

Publications

NSCLC Digital PCR Panel Returns Low-Input Sample Results Where Sequencing Fails.

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