1. Preanalytical blood sample workup for cell-free DNA analysis using Droplet Digital PCR for future molecular cancer diagnostics.
- Author
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van Ginkel JH, van den Broek DA, van Kuik J, Linders D, de Weger R, Willems SM, and Huibers MMH
- Subjects
- Case-Control Studies, Female, Humans, Liquid Biopsy methods, Lung Neoplasms diagnosis, Lung Neoplasms genetics, Male, Molecular Diagnostic Techniques, Mutation, Workflow, Biomarkers, Tumor genetics, Biomarkers, Tumor isolation & purification, Circulating Tumor DNA isolation & purification, Neoplasms diagnosis, Neoplasms genetics, Polymerase Chain Reaction methods
- Abstract
In current molecular cancer diagnostics, using blood samples of cancer patients for the detection of genetic alterations in plasma (cell-free) circulating tumor DNA (ctDNA) is an emerging practice. Since ctDNA levels in blood are low, highly sensitive Droplet Digital PCR (ddPCR) can be used for detecting rare mutational targets. In order to perform ddPCR on blood samples, a standardized procedure for processing and analyzing blood samples is necessary to facilitate implementation into clinical practice. Therefore, we assessed the technical sample workup procedure for ddPCR on blood plasma samples. Blood samples from healthy individuals, as well as lung cancer patients were analyzed. We compared different methods and protocols for sample collection, storage, centrifugation, isolation, and quantification. Cell-free DNA (cfDNA) concentrations of several wild-type targets and BRAF and EGFR-mutant ctDNA concentrations quantified by ddPCR were primary outcome measurements. Highest cfDNA concentrations were measured in blood collected in serum tubes. No significant differences in cfDNA concentrations were detected between various time points of up to 24 h until centrifugation. Highest cfDNA concentrations were detected after DNA isolation with the Quick cfDNA Serum & Plasma Kit, while plasma isolation using the QIAamp Circulating Nucleic Acid Kit yielded the most consistent results. DdPCR results on cfDNA are highly dependent on multiple factors during preanalytical sample workup, which need to be addressed during the development of this diagnostic tool for cancer diagnostics in the future., (© 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
- Published
- 2017
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