Preanalytical variables that affect the outcome of cell-free DNA measurements

Abstract

Fragments of cell-free DNA (cfDNA) in human body fluids often carry disease-specific alterations and are now widely recognized as ideal biomarkers for the detection and monitoring of genomic disorders, especially cancer, that are normally difficult to examine noninvasively. However, the conversion of promising research findings into tools useful in routine clinical testing of cancer has been a slow-moving process. A major reason is that the diagnostic sensitivity and specificity of cfDNA-based clinical assays are negatively impacted by a combination of suboptimal and inter-institutional differences in preanalytical procedures. The most prominent factors include: (i) a poor understanding of the biological factors that determine the characteristics of the cfDNA population in a biospecimen prior to collection, (ii) inattention to how cfDNA with different structures and physical properties are affected differently by a given preanalytical step, and (iii) the sheer number of possible conditions that can be selected from for each preanalytical step along with a continually expanding menu of commercial products that often show varying degrees of bias and efficiency. The convergence of these variables makes it difficult for research groups and institutions to reach a consensus on optimal preanalytical procedures and a challenging task to establish widely applied standards, which ultimately hamper the development of cfDNA assays that are fit for broad clinical implementation. In this review, we follow a systematic approach to explore the most confounding preanalytical factors that affect the outcome of cfDNA measurements.

Keywords:

• Cell-free DNA
• circulating tumor DNA
• liquid biopsy
• preanalytical standardization

Acknowledgements

The financial assistance of the Alexander von Humboldt Foundation is hereby acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

AJB is supported by the Georg Forster Research Fellowship Program of the Alexander von Humboldt Foundation.