| Literature DB >> 26612689 |
Jayoung Kim1,2,3, Seok Joong Yun4, Wun-Jae Kim5.
Abstract
BACKGROUND: Prostate cancer (PCa) is the most commonly diagnosed cancer and kills about 28,000 American men annually. Although progress has been made in understanding the molecular features of different forms of the disease, PCa is considered incurable when it becomes resistant to standard therapies. Prostate specific antigen (PSA) test has been a gold standard of diagnosis for PCa, however, it can result in lead to the unnecessary biopsies and treatment of indolent cancers due to the low specificity. Thus, the limitations of PSA screening for PCa have prompted much focus on strategies how to enhance the accuracy of PSA for distinction between aggressive and indolent cancers. DISCUSSION: Studies of miRNAs in PCa patients have suggested differentially expressed miRNAs between healthy controls and those with PCa, providing potential biomarker candidates using body fluids including urine and blood. Virus infection has been considered to associate with PCa incidence. Virus infected PCa cells may shed extracellular vesicles and communicate with neighboring cells, which were not infected yet, however, no mechanistic approaches were performed to understand the biology. The miRNAs composition in the shedding extracellular vesicles, and its role in PCa are completely undefined. In the near future, new insights to connect between the viral derived miRNAs and PCa progression might provide an opportunity to diagnose, risk prediction and therapeutic strategies. The goal of this debate article is to provide a short review on miRNAs, virus infection and viral encoded miRNAs in PCa, with a primary focus on circulating miRNAs as potential non-invasive biomarkers for PCa patients.Entities:
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Year: 2015 PMID: 26612689 PMCID: PMC4662007 DOI: 10.1186/s12894-015-0111-9
Source DB: PubMed Journal: BMC Urol ISSN: 1471-2490 Impact factor: 2.264
Fig. 1miRNAs upregulated in PCa
Fig. 2Diagnostic performance of urinary hsv1-miR-H18 and hsv2-miR-H9-5p compared with serum PSA levels (published data) [19]. a Overview of the study design. A heatmap representing miRNA microarray data suggested that miRNA signature segregates PCa from BPH controls (right). b ROC curves for all patients. c ROC curves for patients only within the PSA grey zone (3–10 ng/ml)