Gene expression profiling in prostate cancer

2005 ◽  
Vol 2 (10) ◽  
pp. 466-466
Author(s):  
Ruth Kirby
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Gene Expression Profiling ◽  
Expression Profiling

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 ◽  
...  
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Gene Expression Profiling ◽  
High Purity ◽  
Whole Blood ◽  
Expression Profiling ◽  
Cell Recovery ◽  
Enrichment Method ◽  
Qrt Pcr ◽  
Cd45 Depletion

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.

scholarly journals Trends in Gene Expression Profiling for Prostate Cancer Risk Assessment: A Systematic Review

2017 ◽  
Vol 2 (2) ◽  
pp. 1-15 ◽  
Author(s):  
Zhaoyi Chen ◽  
Travis Gerke ◽  
Victoria Bird ◽  
Mattia Prosperi
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
High Throughput Sequencing ◽  
Prostate Cancer Risk ◽  
Gene Profiling ◽  
Cancer Risk Assessment ◽  
Meta Analyses ◽  
Study Designs

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.

Gene expression profiling in R-flurbiprofen-treated prostate cancer: R-Flurbiprofen regulates prostate stem cell antigen through activation of AKT kinase

2006 ◽  
Vol 72 (10) ◽  
pp. 1257-1267 ◽  
Author(s):  
Marina Zemskova ◽  
William Wechter ◽  
Svetlana Bashkirova ◽  
Chien-Shing Chen ◽  
Robert Reiter ◽  
...  
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Stem Cell ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Prostate Stem Cell Antigen ◽  
Akt Kinase ◽  
Cell Antigen

scholarly journals Optimization of laser capture microdissection and RNA amplification for gene expression profiling of prostate cancer

2007 ◽  
Vol 8 (1) ◽  
pp. 25 ◽  
Author(s):  
Dagmar M Kube ◽  
Cemile D Savci-Heijink ◽  
Anne-Françoise Lamblin ◽  
Farhad Kosari ◽  
George Vasmatzis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Prostate Cancer ◽  
Gene Expression Profiling ◽  
Laser Capture Microdissection ◽  
Expression Profiling ◽  
Rna Amplification ◽  
Laser Capture
Sign in / Sign up

Export Citation Format

Share Document