| Literature DB >> 31978562 |
Stephanie N Shishido1, Lisa Welter1, Mariam Rodriguez-Lee1, Anand Kolatkar1, Liya Xu1, Carmen Ruiz1, Anna S Gerdtsson1, Sara Restrepo-Vassalli1, Anders Carlsson1, Joe Larsen1, Emily J Greenspan2, E Shelley Hwang3, Kathryn R Waitman4, Jorge Nieva5, Kelly Bethel6, James Hicks1, Peter Kuhn7.
Abstract
Liquid biopsy allows assessment of multiple analytes, providing temporal information with potential for improving understanding of cancer evolution and clinical management of patients. Although liquid biopsies are intensely investigated for prediction and response monitoring, preanalytic variables are of primary concern for clinical implementation, including categories of collection method and sample storage. Herein, an integrated high-density single-cell assay workflow for morphometric and genomic analysis of the liquid biopsy is used to characterize the effects of preanalytical variation and reproducibility of data from a breast cancer cohort. Following prior work quantifying performance of commonly used blood collection tubes, this study completes the analysis of four time points to assay (24, 48, 72, and 96 hours), demonstrating precision up to 48 hours after collection for assay sensitivity, highly reproducible rare cell enumeration, morphometric characterization, and high efficiency and capacity for single-cell genomic analysis. For the cell-free analysis, both freezing and use of fresh plasma produced similar quality and quantity of cell-free DNA for sequencing. The genomic analysis (copy number variation and single-nucleotide variation) described herein is broadly applicable to liquid biopsy platforms capable of isolating cell-free and cell-based DNA. Morphometric parameters and genomic signatures of individual circulating tumor cells were evaluated in relation to patient clinical response, providing preliminary evidence of clinical validity as a potential biomarker aiding clinical diagnostics or monitoring progression.Entities:
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Year: 2020 PMID: 31978562 PMCID: PMC7103765 DOI: 10.1016/j.jmoldx.2019.11.006
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568