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High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients.
- Source :
-
Scientific reports [Sci Rep] 2021 Jul 05; Vol. 11 (1), pp. 13864. Date of Electronic Publication: 2021 Jul 05. - Publication Year :
- 2021
-
Abstract
- MicroRNAs (miRs) are small non-coding RNA molecules, which are involved in the development of various malignancies, including prostate cancer (PCa). miR-17-5p is considered the most prominent member of the miR-17-92 cluster, with an essential regulatory function of fundamental cellular processes. In many malignancies, up-regulation of miR-17-5p is associated with worse outcome. In PCa, miR-17-5p has been reported to increase cell proliferation and the risk of metastasis. In this study, prostatectomy specimens from 535 patients were collected. Tissue microarrays were constructed and in situ hybridization was performed, followed by scoring of miR-17-5p expression on different tumor compartments. High expression of miR-17-5p in tumor epithelium was associated with biochemical failure (BF, p < 0.001) and clinical failure (CF, p = 0.019). In multivariate analyses, high miR-17-5p expression in tumor epithelial cells was an independent negative prognostic factor for BF (HR 1.87, 95% CI 1.32-2.67, p < 0.001). In vitro analyses confirmed association between overexpression of miR-17-5p and proliferation, migration and invasion in prostate cancer cell lines (PC3 and DU145). In conclusion, our study suggests that a high cancer cell expression of miR-17-5p was an independent negative prognostic factor in PCa.
- Subjects :
- Aged
Apoptosis genetics
Cell Line, Tumor
Cell Proliferation genetics
Epithelium metabolism
Epithelium pathology
Gene Expression Regulation, Neoplastic
Humans
Male
Middle Aged
Neoplasms, Glandular and Epithelial genetics
Neoplasms, Glandular and Epithelial pathology
Prognosis
Prostatic Neoplasms pathology
Biomarkers, Tumor genetics
MicroRNAs genetics
Prostatic Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 34226620
- Full Text :
- https://doi.org/10.1038/s41598-021-93208-6