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Five microRNAs in serum as potential biomarkers for prostate cancer risk assessment and therapeutic intervention

BACKGROUND: Prostate cancer (PCa) is a common malignant human tumor and one of the main causes of cancer-related deaths in men. At present, prostate-specific antigen levels are widely used to diagnose PCa in the clinic, but they are not sufficient for an accurate early diagnosis or prognosis. METHOD...

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Detalles Bibliográficos
Autores principales: Guo, Xiaogang, Han, Tao, Hu, Pingping, Guo, Xiaojun, Zhu, Changming, Wang, Youbao, Chang, Shaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267169/
https://www.ncbi.nlm.nih.gov/pubmed/30324582
http://dx.doi.org/10.1007/s11255-018-2009-4
Descripción
Sumario:BACKGROUND: Prostate cancer (PCa) is a common malignant human tumor and one of the main causes of cancer-related deaths in men. At present, prostate-specific antigen levels are widely used to diagnose PCa in the clinic, but they are not sufficient for an accurate early diagnosis or prognosis. METHODS: To identify potential molecular markers for PCa, we used real-time PCR to measure the expression levels of various microRNAs, including miR-1825, miR-484, miR-205, miR-141, and let-7b, in the serum of 72 PCa patients and 34 healthy controls. RESULTS: miR-1825, miR-484, miR-205, miR-141, and let-7b were shown to be highly specific for PCa, suggesting that they could be used as PCa tumor screening biomarkers. miR-205 may also be used as a biomarker for indicating bone metastasis in PCa patients, miR-1825 levels may help indicate tumor–node–metastasis classification, the evaluation of treatment effects, and determining prognosis, while let-7b levels may indicate potential tumor malignancy and the hormone resistance status and could be used as a basis to adjust individual treatments for the high-risk, early diagnosis of refractory PCa. CONCLUSION: This study identified possible PCa tumor markers to more accurately predict the occurrence, progression, and prognosis of PCa, and which could be used in the development of tumor drug therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11255-018-2009-4) contains supplementary material, which is available to authorized users.