scholarly journals Effect of Blood Collection Tube Type and Time to Processing on the Enumeration and High-Content Characterization of Circulating Tumor Cells Using the High-Definition Single-Cell Assay

2017 ◽  
Vol 142 (2) ◽  
pp. 198-207 ◽  
Author(s):  
Mariam Rodríguez-Lee ◽  
Anand Kolatkar ◽  
Madelyn McCormick ◽  
Angel D. Dago ◽  
Jude Kendall ◽  
...  

Context.— As circulating tumor cell (CTC) assays gain clinical relevance, it is essential to address preanalytic variability and to develop standard operating procedures for sample handling in order to successfully implement genomically informed, precision health care. Objective.— To evaluate the effects of blood collection tube (BCT) type and time-to-assay (TTA) on the enumeration and high-content characterization of CTCs by using the high-definition single-cell assay (HD-SCA). Design.— Blood samples of patients with early- and advanced-stage breast cancer were collected into cell-free DNA (CfDNA), EDTA, acid-citrate-dextrose solution, and heparin BCTs. Time-to-assay was evaluated at 24 and 72 hours, representing the fastest possible and more routine domestic shipping intervals, respectively. Results.— We detected the highest CTC levels and the lowest levels of negative events in CfDNA BCT at 24 hours. At 72 hours in this BCT, all CTC subpopulations were decreased with the larger effect observed in high-definition CTCs and cytokeratin-positive cells smaller than white blood cells. Overall cell retention was also optimal in CfDNA BCT at 24 hours. Whole-genome copy number variation profiles were generated from single cells isolated from all BCT types and TTAs. Cells from CfDNA BCT at 24-hour TTA exhibited the least noise. Conclusions.— Circulating tumor cells can be identified and characterized under a variety of collection, handling, and processing conditions, but the highest quality can be achieved with optimized conditions. We quantified performance differences of the HD-SCA for specific preanalytic variables that may be used as a guide to develop best practices for implementation into patient care and/or research biorepository processes.

Author(s):  
Jacob Amontree ◽  
Kangfu Chen ◽  
Jose Varillas ◽  
Z. Hugh Fan

The characterization of single cells within heterogeneous populations has great impact on both biomedical sciences and cancer research. By investigating cellular compositions on a broad scale, pertinent outliers may be lost in the sample set. Alternatively, an investigation focused on the behavior of specific cells, such as circulating tumor cells (CTCs), will reveal genetic biomarkers or phenotypic characteristics associated with cancer and metastasis. On average, CTC concentration in peripheral blood is extremely low, as few as one to two per billion of healthy blood cells. Consequently, the critical element lacking in many methods of CTC detection is accurate cell capture efficiency at low concentrations. To simulate CTC isolation, researchers usually spike small amounts of tumor cells to healthy blood for separation. However, spiking tumor cells at extremely low concentrations is challenging in a standard laboratory setting. We report our study on an innovative apparatus and method designed for low-cost, precise, and replicable single-cell spiking (SCS). Our SCS method operates solely from capillary aspiration without the reliance on external laboratory equipment. To ensure that our method does not affect the viability of each cell, we investigated the effects of surface membrane tensions induced by aspiration. Finally, we performed affinity-based CTC isolation using human acute lymphoblastic leukemia cells (CCRF-CEM) spiked into healthy whole blood with the SCS technique. The results of the isolation experiments demonstrate the reliability of our method in generating low-concentration cell samples.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14753-e14753
Author(s):  
Stephanie Shishido ◽  
Peter Kuhn

e14753 Background: The liquid biopsy is a noninvasive route to evaluate circulating tumor cells (CTCs) during the course of treatment to gain understanding of tumor biology, with potential prognostic utility. CTCs could serve as a predictive biomarker while aiding in the identification of resistance mechanisms to treatment through single cell genomic and proteomic analysis providing a longitudinal snapshots of tumor heterogeneity. Methods: Through the use of the high definition single cell assay (HD-SCA) workflow, we characterized the rare circulating cells to determine prognostic value of the liquid biopsy in monitoring the efficacy of andecaliximab in a combinational treatment as 1st or 2nd line therapy in patients with metastatic colorectal cancer (mCRC). 174 samples from 95 patients were analyzed to determine the significance of CTCs during treatment. Results: HD-CTCs were detected in 31% of samples, with 41 (43%) patients being CTC positive in at least 1 timepoint during the study. Patients receiving 1st line therapy presented with a median of 0 (range 0-346.04) and a mean of 9.49 (±14.06) HD-CTC/mL at baseline (BL). At initiation of 2nd line therapy, patients presented with a median of 0 HD-CTC/mL (range 0-277.37) and a mean of 10.94 (±15.32). There was no association between BL HD-CTC/mL and response, but for the 20 patients with > 1 HD-CTC at BL, there was a trend toward response for higher HD-CTC/mL (non-response: mean 2.8, n = 12; response: mean 89.7, n = 8; p = .04). The 3 patients with > 10 HD-CTC/mL at BL had undetectable HD-CTC on-treatment, which accompanied radiologic partial response; however, the 2 patients with complete radiological response had no HD-CTC detected at BL. In case studies, treatment pressure led to an observable change in HD-CTC morphology and genomic instability (single cell CNV analysis), suggesting these parameters may inform prognosis. Conclusions: Characterization of CTCs from patients with mCRC is feasible and may provide prognostic information to guide clinical decision making. Further evaluation of CTCs for pharmacodynamics and clinical monitoring in patients with mCRC is warranted.


2015 ◽  
Vol 17 (suppl 5) ◽  
pp. v69.3-v69
Author(s):  
Mariana Cooke ◽  
Deeksha Saxena ◽  
Gary Kao ◽  
Louise Aguarin ◽  
Phillip Cheng ◽  
...  

Author(s):  
Mastan Mannarapu ◽  
Begum Dariya ◽  
Obul Reddy Bandapalli

AbstractPancreatic cancer (PC) is the third lethal disease for cancer-related mortalities globally. This is mainly because of the aggressive nature and heterogeneity of the disease that is diagnosed only in their advanced stages. Thus, it is challenging for researchers and clinicians to study the molecular mechanism involved in the development of this aggressive disease. The single-cell sequencing technology enables researchers to study each and every individual cell in a single tumor. It can be used to detect genome, transcriptome, and multi-omics of single cells. The current single-cell sequencing technology is now becoming an important tool for the biological analysis of cells, to find evolutionary relationship between multiple cells and unmask the heterogeneity present in the tumor cells. Moreover, its sensitivity nature is found progressive enabling to detect rare cancer cells, circulating tumor cells, metastatic cells, and analyze the intratumor heterogeneity. Furthermore, these single-cell sequencing technologies also promoted personalized treatment strategies and next-generation sequencing to predict the disease. In this review, we have focused on the applications of single-cell sequencing technology in identifying cancer-associated cells like cancer-associated fibroblast via detecting circulating tumor cells. We also included advanced technologies involved in single-cell sequencing and their advantages. The future research indeed brings the single-cell sequencing into the clinical arena and thus could be beneficial for diagnosis and therapy of PC patients.


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