Abstract | PURPOSE: MATERIALS AND METHODS: TaqMan® arrays and quantitative polymerase chain reaction were applied to analyze miRNA profiles in penile squamous cell carcinoma specimens and glans tissue from 24 patients. The prognostic value of deregulated miRNAs was analyzed using the Kaplan-Meier method. The Spearman test was applied to determine a potential linkage between distinctive miRNAs in individual patients. RESULTS: Loss of miR-1 (p = 0.0048), miR-101 (p = 0.0001) and miR-204 (p = 0.0004) in metastasizing tumors and associated metastases (p = 0.0151, 0.0019 and 0.0003, respectively) distinguished patients with metastatic and nonmetastatic penile squamous cell carcinoma. These 3 miRNAs showed a coherent expression pattern. Consistently, patients with low levels of all 3 miRNAs had worse survival (p = 0.03). We identified a coordinately regulated miRNA target hub that is over expressed in penile squamous cell carcinoma and associated with lymphovascular invasion. CONCLUSIONS:
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Authors | Juliane M Hartz, David Engelmann, Katharina Fürst, Stephan Marquardt, Alf Spitschak, Deborah Goody, Chris Protzel, Oliver W Hakenberg, Brigitte M Pützer |
Journal | The Journal of urology
(J Urol)
Vol. 196
Issue 2
Pg. 570-8
(Aug 2016)
ISSN: 1527-3792 [Electronic] United States |
PMID | 26896570
(Publication Type: Journal Article)
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Copyright | Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved. |
Chemical References |
- Biomarkers, Tumor
- MIRN1 microRNA, human
- MIRN101 microRNA, human
- MIRN204 microRNA, human
- MicroRNAs
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Topics |
- Biomarkers, Tumor
(genetics, metabolism)
- Carcinoma, Squamous Cell
(diagnosis, genetics, mortality, pathology)
- Gene Expression Regulation, Neoplastic
- Humans
- Kaplan-Meier Estimate
- Lymphatic Metastasis
- Male
- MicroRNAs
(metabolism)
- Oligonucleotide Array Sequence Analysis
- Penile Neoplasms
(diagnosis, genetics, mortality, pathology)
- Prognosis
- Real-Time Polymerase Chain Reaction
- Retrospective Studies
- Survival Analysis
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