Back to Search Start Over

Clinical significance of miRNA host gene promoter methylation in prostate cancer.

Authors :
Daniunaite K
Dubikaityte M
Gibas P
Bakavicius A
Rimantas Lazutka J
Ulys A
Jankevicius F
Jarmalaite S
Source :
Human molecular genetics [Hum Mol Genet] 2017 Jul 01; Vol. 26 (13), pp. 2451-2461.
Publication Year :
2017

Abstract

Only a part of prostate cancer (PCa) patients has aggressive malignancy requiring adjuvant treatment after radical prostatectomy (RP). Biomarkers capable to predict biochemical PCa recurrence (BCR) after RP would significantly improve preoperative risk stratification and treatment decisions. MicroRNA (miRNA) deregulation has recently emerged as an important phenomenon in tumor development and progression, however, the mechanisms remain largely unstudied. In the present study, based on microarray profiling of DNA methylation in 9 pairs of PCa and noncancerous prostate tissues (NPT), host genes of miR-155-5p, miR-152-3p, miR-137, miR-31-5p, and miR-642a, -b were analyzed for promoter methylation in 129 PCa, 35 NPT, and 17 benign prostatic hyperplasia samples (BPH) and compared to the expression of mature miRNAs and their selected targets (DNMT1, KDM1A, and KDM5B). The Cancer Genome Atlas dataset was utilized for validation. Methylation of mir-155, mir-152, and mir-137 host genes was PCa-specific, and downregulation of miR-155-5p significantly correlated with promoter methylation. Higher KDM5B expression was observed in samples with methylated mir-155 or mir-137 promoters, whereas upregulation of KDM1A and DNMT1 was associated with mir-155 and mir-152 methylation status, respectively. Promoter methylation of mir-155, mir-152, and mir-31 was predictive of BCR-free survival in various Cox models and increased the prognostic value of clinicopathologic factors. In conclusion, methylated mir-155, mir-152, mir-137, and mir-31 host genes are promising diagnostic and/or prognostic biomarkers of PCa. Methylation status of particular miRNA host genes as independent variables or in combinations might assist physicians in identifying poor prognosis PCa patients preoperatively.<br /> (© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1460-2083
Volume :
26
Issue :
13
Database :
MEDLINE
Journal :
Human molecular genetics
Publication Type :
Academic Journal
Accession number :
28398479
Full Text :
https://doi.org/10.1093/hmg/ddx138