2014
DOI: 10.1007/978-1-4939-1804-1_27
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Detection of Circulatory MicroRNAs in Prostate Cancer

Abstract: Prostate cancer (PCa) is one of the most common cancer worldwide and accounts for 14.4 % of all new cancer cases. The clinical outcome and management of PCa can be significantly improved by use of biomarker assays for early detection, prognosis and also for prediction and monitoring of treatment response. MiRNAs are short, endogenous, single-stranded RNA molecules that play important role in regulation of gene expression and can modulate a number of cellular processes. Discovery of miRNAs in circulation has no… Show more

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Cited by 8 publications
(7 citation statements)
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References 30 publications
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“…This confirmed the previous report of an increased mi-R141 by Mattie et al [211]. Srivastava et al [212] have listed twelve miRNAs with relevance to prostate cancer. However, they advise caution concerning placing too much emphasis on their use until further work has been performed to ensure their viability.…”
Section: Prostate Cancer (Pc)supporting
confidence: 90%
“…This confirmed the previous report of an increased mi-R141 by Mattie et al [211]. Srivastava et al [212] have listed twelve miRNAs with relevance to prostate cancer. However, they advise caution concerning placing too much emphasis on their use until further work has been performed to ensure their viability.…”
Section: Prostate Cancer (Pc)supporting
confidence: 90%
“…RNA extraction from microdissected cells and serum samples was performed essentially as described earlier [ 15 , 16 , 18 ]. RNA was quantified using NanoDrop ND-1000 Spectrophotometer (Thermo Scientific, Waltham, MA).…”
Section: Methodsmentioning
confidence: 99%
“…According to these authors, results did not improve when the exogenous controls cel-miR-54 and cel-miR-238 to celmiR-39 were added. Exogenous miRNAs controls, such as ath-miR-159a, cel-miR-54, cel-miR-238 and particularly celmiR-39, appear as the optimal way to normalize miRNAs expression in absence of an ideal endogenous control [44,45], although biological variability should be taken into account to improve miRNAs measurement.…”
Section: Preanalytical and Analytical Variables In Mirna Measurementmentioning
confidence: 99%