PO.CL01.11 · 临床研究
Automated high-volume cfDNA extraction on a liquid-handling platform achieves analytical equivalence to a manual high-input magnetic-bead workflow with 96-sample throughput
作者与单位
摘要 Abstract
Introduction: High-volume cfDNA extraction improves sensitivity for liquid biopsy studies but is limited by manual hands-on time and variability. We evaluated whether implementing a high-volume magnetic-bead cfDNA workflow on an automated liquid-handling platform maintains analytical performance while increasing throughput and reducing labor.
Methods: Human plasma collected in K2EDTA tubes was processed using double centrifugation (low- then high-speed). Urine was preserved in Tris-EDTA pH 8 and clarified by high-speed centrifugation. Plasma and urine inputs (1-20 mL) were extracted manually or on the automated platform using identical magnetic-bead chemistry; only wash/elution steps were automated. Replicates were run across multiple reagent lots and days. Endpoints included cfDNA yield (Qubit HS), fragment metrics (Agilent cfDNA ScreenTape), and locus-specific qPCR. Pre-specified non-inferiority margins were ±10% for yield and fragment attributes. Equivalence was assessed with paired statistics, TOST, Bland-Altman, and variance components. Operational metrics included batch size, hands-on time (HOT), turnaround time (TAT), and walk-away time. Cross-contamination was assessed using checkerboard layouts analyzed by Qubit and qPCR. End-to-end traceability used unique barcodes on capture tubes readable by the automation platform.
Results: Automation preserved analytical performance across matrices and input volumes. The automated/manual yield ratio was 0.93 (95% CI ±7.8%), meeting the ±10% non-inferiority criterion (TOST p < 0.05). Fragment metrics-including modal size (~170 bp), 50-700 bp distribution, and mono:di-nucleosome ratios-were equivalent, differing by ~1% with between-run CV ≈1%. qPCR copy numbers showed minimal bias (mean 3.35 copies/reaction) with acceptable limits of agreement; limits of detection were identical for all loci. All 96-sample runs met QC thresholds. Checkerboard assays showed no detectable cross-contamination. Automation increased batch capacity from ~24-48 to 96 samples/run, reduced HOT by ~70-85% (to ~2 hours per batch), and shortened TAT by ~40-60%, providing ~2.5 hours of walk-away time.
Conclusions: Automating a high-volume magnetic-bead cfDNA workflow delivers analytical equivalence to manual processing while enabling 96-sample throughput and major reductions in labor and turnaround time. These findings support automation as a scalable solution for high-volume cfDNA programs requiring consistent, high-sensitivity performance. Portions of this text were generated with AI and were reviewed, edited, and approved by the authors.
利益披露 Disclosure
N. Jafari,
nRichDX Employment.
C. Van Dieren,
nRichDX Employment.
J. Saenz,
nRichDX Employment.
C. Hernandez,
nRichDX Employment.
D. Cedeno,
nRichDX Employment.
M. Saidian,
nRichDX Employment.