Abstract 4591: Integration of genomic analysis and assessment of pre-analytic variables in the HD-SCA workflow: A technical validation study

Abstract

Abstract The liquid biopsy allows assessment of multiple biological analytes over time to provide dynamic temporal information with the potential for improving clinical management and guiding treatment decisions. While the promise of liquid biopsies for prediction and response monitoring are intensely investigated, the pre-analytic variables are of primary concern for its implementation in diagnostic clinical medicine, including such categories as collection method, shipping conditions, and sample storage. Here we utilize an integrated high-definition single cell analysis (HD-SCA) workflow for genomic analysis of rare cells and cfDNA from the liquid biopsy to characterize the effects of pre-analytical variation and reproducibility of data analysis from the same cohort of patients. The results presented here confirm consistent rare cell enumeration and morphometric characterization between 24h and 48h time to assay (TTA), with a high efficiency and capacity for both copy number variation (CNV) and single nucleotide variation (SNV) analysis at the single cell level. Additionally, the freezing process neither diminishes or increases the DNA quantity, nor does it affect the DNA quality for CNV or SNV analysis. The integration of genomic information is imperative to reveal essential disease-implicated mutational profiles, but effective molecular diagnostic tests require reproducible coverage over a broad dynamic range. The performance of the HD-SCA platform quantified here may be utilized as a guide for implementation into patient care and/or research biorepository processes. Citation Format: Stephanie Nicole Shishido, Mariam Rodriguez_Lee, Anand Kolatkar, Liya Xu, Sara Restrepo-Vassalli, Lisa Welter, Anders Carlsson, Emily Greenspan, Shelley Hwang, Kathryn Waitman, Jorge Nieva, Kelley Bethel, James Hicks, Peter Kuhn. Integration of genomic analysis and assessment of pre-analytic variables in the HD-SCA workflow: A technical validation study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4591.