Literature DB >> 25778313

miR-150 is a factor of survival in prostate cancer patients.

Liu Dezhong1, Zhang Xiaoyi, Long Xianlian, Zhang Hongyan, Zhao Guohua, Sun Bo, Zou Shenglei, Zou Lian.   

Abstract

PURPOSE: Prostate cancer (PC) is the most common malignant disease in males and the second leading cause of cancer related deaths in men in developed countries. The purpose of this study was to investigate whether microRNA (miR)-150 is a factor influencing survival in prostate cancer patients.
METHODS: miR-150 mRNA and protein expression levels in prostatic cancer cell lines and healthy tissues were determined by quantitative (q) RT-PCR and Western blotting. Additionally, the protein expression of miR-150 was detected by immunohistochemistry.
RESULTS: High miR-150 expression was positively correlated with tumor recurrence or metastasis (p=0.010). In addition, PC patients with high miR-150 expression had significantly poorer overall survival/OR (hazard ratio/HR, 1.87; 95% confidence interval/CI, 1.19-2.94; p=0.006) and poorer disease-free survival/DFS (HR, 1.90; 95% CI, 1.21- 2.98; p=0.005) than those with low miR-150 expression. The cumulative 5-year OS was only 35.19% (95% CI, 26.18- 44.20) in the high miR-150 expression group, whereas it was 55.93% (95% CI, 43.26-68.60) in the low miR-150 expression group (p<0.05). Multivariate Cox regression analysis demonstrated that the expression of miR-150, tumor size, and number of tumor lesions were independent prognostic predictors for OS in PC patients.
CONCLUSION: miR-150 was overexpressed in PC at both the mRNA and protein levels, and high expression of miR-150 could serve as a novel and reliable prognostic biomarker for PC patients.

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Year:  2015        PMID: 25778313

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  14 in total

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Authors:  Yang Qu; Su Pan; Mingyang Kang; Rongpeng Dong; Jianwu Zhao
Journal:  Tumour Biol       Date:  2015-11-11

Review 10.  Prognostic role of microRNA-150 in various carcinomas: a meta-analysis.

Authors:  Wei Wang; Xinshuai Wang; Yali Zhang; Dan Wang; Hui Gao; Lijuan Wang; Shegan Gao
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