Novel method for rapid enrichment of high purity circulating tumor cells (CTCs) for prostate cancer (PCa) gene expression profiling.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 271-271
Author(s):  
Gareth Morrison ◽  
Nita Jojo ◽  
Alexander Cunha ◽  
Yucheng Xu ◽  
Peggy S. Robinson ◽  
...  

271 Background: CTC RNA analysis currently involves single cell recovery that is laborious and expensive, or alternatively lysis of preserved whole blood which yields RNA predominantly from leukocytes which vastly outnumber CTCs. To effectively characterize gene expression in large patient cohorts, new enrichment methodologies are needed that yield high purity CTC populations while preserving RNA integrity. Here we describe a simple yet robust method for enrichment of prostate CTCs for gene expression analysis. Methods: Blood was drawn with informed consent under an IRB-approved protocol. For initial optimization, CFSE-stained PCa cells were spiked into healthy blood and recovered using various combinations of 2 methods: microfluidic enrichment (Parsortix™ system) and CD45 depletion. For assay qualification, a prostate-specific multiplexed qRT-PCR gene expression panel was developed. Enrichment and gene expression were tested initially using PCa cell lines spiked into healthy blood, then metastatic castrate resistant prostate cancer (mCRPC) blood samples in parallel with CellSearch enumeration. Results: Optimal enrichment of live cells was achieved with CD45 depletion followed by microfluidic enrichment, resulting in an average spiked cell recovery of 30% and approximately 100 contaminating background leukocytes. Using this enrichment method, prostate specific genes were detectable by multiplexed qRT-PCR down to 25 cells spiked into 7.5 ml whole blood, and transcripts were not measurable in matched healthy blood controls. When applied to mCRPC patient blood containing CTCs by CellSearch, multiplexed qRT-PCR successfully detected prostate specific genes in all samples. Conclusions: We developed a novel enrichment method capable of rapidly and efficiently recovering live CTCs with high purity, free of magnetic beads and with very few background leukocytes. Captured cells yielded high-quality RNA with high sensitivity and specificity for prostate-specific transcripts. This approach is applicable to high throughput gene expression profiling assays and offers an alternative to laborious single cell recovery or non-cancer-specific whole blood fixation.

2012 ◽  
Vol 26 (6) ◽  
pp. 3385-3388 ◽  
Author(s):  
Nikolay Todorov Popov ◽  
Nadejda Petrova Madjirova ◽  
Ivan Nikiforov Minkov ◽  
Tihomir Iliev Vachev

2017 ◽  
Vol 2 (2) ◽  
pp. 1-15 ◽  
Author(s):  
Zhaoyi Chen ◽  
Travis Gerke ◽  
Victoria Bird ◽  
Mattia Prosperi

Objectives: The aim of the study is to review biotechnology advances in gene expression profiling on prostate cancer (PCa), focusing on experimental platform development and gene discovery, in relation to different study designs and outcomes in order to understand how they can be exploited to improve PCa diagnosis and clinical management. Methods: We conducted a systematic literature review on gene expression profiling studies through PubMed/MEDLINE and Web of Science between 2000 and 2016. Tissue biopsy and clinical gene profiling studies with different outcomes (e.g., recurrence, survival) were included. Results: Over 3,000 papers were screened and 137 full-text articles were selected. In terms of technology used, microarray is still the most popular technique, increasing from 50 to 70% between 2010 and 2015, but there has been a rise in the number of studies using RNA sequencing (13% in 2015). Sample sizes have increased, as well as the number of genes that can be screened all at once, but we have also observed more focused targeting in more recent studies. Qualitative analysis on the specific genes found associated with PCa risk or clinical outcomes revealed a large variety of gene candidates, with a few consistent cross-studies. Conclusions: The last 15 years of research in gene expression in PCa have brought a large volume of data and information that has been decoded only in part, but advancements in high-throughput sequencing technology are increasing the amount of data that can be generated. The variety of findings warrants the execution of both validation studies and meta-analyses. Genetic biomarkers have tremendous potential for early diagnosis of PCa and, if coupled with other diagnostics (e.g., imaging), can effectively be used to concretize less-invasive, personalized prediction of PCa risk and progression.


2010 ◽  
Vol 119 (8) ◽  
pp. 335-343 ◽  
Author(s):  
Chiara Taurino ◽  
William H. Miller ◽  
Martin W. McBride ◽  
John D. McClure ◽  
Raya Khanin ◽  
...  

Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2×10−16). In conclusion, using whole blood as a ‘surrogate tissue’ in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease.


2007 ◽  
Vol 53 (6) ◽  
pp. 1038-1045 ◽  
Author(s):  
Sung Jae Kim ◽  
David J Dix ◽  
Kary E Thompson ◽  
Rachel N Murrell ◽  
Judith E Schmid ◽  
...  

Abstract Background: Gene expression profiling of whole blood may be useful for monitoring toxicological exposure and for diagnosis and monitoring of various diseases. Several methods are available that can be used to transport, store, and extract RNA from whole blood, but it is not clear which procedures alter results. In addition, characterization of interindividual and sex-based variation in gene expression is needed to understand sources and extent of variability. Methods: Whole blood was obtained from adult male and female volunteers (n = 42) and stored at various temperatures for various lengths of time. RNA was isolated and RNA quality analyzed. Affymetrix GeneChips (n = 23) were used to characterize gene expression profiles (GEPs) and to determine the effects on GEP of storage conditions, extraction techniques, types of GeneChip, or donor sex. Hierarchical clustering and principal component analysis were used to assess interindividual differences. Regression analysis was used to assess the relative impact of the studied variables. Results: Storage of blood samples for &gt;1 week at 4 °C diminished subsequent RNA quality. Interindividual GEP differences were seen, but larger effects were observed related to RNA extraction technique, GeneChip, and donor sex. The relative importance of the variables was as follows: storage &lt; genechip &lt; extraction technique &lt; donor sex. Conclusion: Sample storage and extraction methods and interindividual differences, particularly donor sex, affect GEP of human whole blood.


2006 ◽  
Vol 72 (10) ◽  
pp. 1257-1267 ◽  
Author(s):  
Marina Zemskova ◽  
William Wechter ◽  
Svetlana Bashkirova ◽  
Chien-Shing Chen ◽  
Robert Reiter ◽  
...  

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