Title |
Piwi-interacting RNAs as novel prognostic markers in clear cell renal cell carcinomas
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Published in |
Journal of Experimental & Clinical Cancer Research, June 2015
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DOI | 10.1186/s13046-015-0180-3 |
Pubmed ID | |
Authors |
Jonas Busch, Bernhard Ralla, Monika Jung, Zofia Wotschofsky, Elena Trujillo-Arribas, Philipp Schwabe, Ergin Kilic, Annika Fendler, Klaus Jung |
Abstract |
Piwi-interacting RNAs (piRNAs) are small RNAs of 27-30 nucleotides mapping to transposons or clustering in repeat genomic regions. Preliminary studies suggest an important role in cancerogenesis. This study is the first one investigating their prognostic impact in clear cell renal cell cancer (ccRCC) patients. Three piRNAs (piR-30924, piR-57125, and piR-38756) selected on the basis of initial piRNA microarray analyses were determined using RT-qPCR in non-metastatic (n = 76) and metastatic (n = 30) ccRCC tissue at the time of nephrectomy in comparison to normal renal tissue (n = 77) and tissue from distant ccRCC metastases (n = 13). Primary clinical end points were recurrence-free and overall survival. piR-57125 showed lower expression in metastatic than in non-metastatic tumors, whereas the expression of piR-30924 and piR-38756 increased in metastatic tumors. The higher expression of piR-30924 and piR-38756 as well as the lower expression of piR-57125 in metastatic primary tumors were significantly associated with tumor recurrence and overall survival. Multivariate Cox regression analyses revealed both piR-30924 and piR-57125 as independent prognostic predictors. This impact was even more pronounced in non-metastatic patients. This study demonstrates that the expression levels of these piRNAs in primary non-metastatic and metastatic ccRCC tissue can serve as potential prognostic biomarkers in combination with clinicopathological factors. |
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Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 20% |
Student > Master | 7 | 17% |
Student > Doctoral Student | 3 | 7% |
Other | 2 | 5% |
Student > Bachelor | 2 | 5% |
Other | 4 | 10% |
Unknown | 15 | 37% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 29% |
Agricultural and Biological Sciences | 5 | 12% |
Unspecified | 1 | 2% |
Environmental Science | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 12% |
Unknown | 16 | 39% |