Abstract
Prostate cancer (PCa) is the most frequent male malignancy and the second most common cause of cancer-related death in Western countries. Current clinical and pathological methods are limited in the prediction of postoperative outcome. It is becoming increasingly evident that small non-coding RNA (ncRNA) species are associated with the development and progression of this malignancy. To assess the diversity and abundance of small ncRNAs in PCa, we analyzed the composition of the entire small transcriptome by Illumina/Solexa deep sequencing. We further analyzed the microRNA (miRNA) expression signatures of 102 fresh-frozen patient samples during PCa progression by miRNA microarrays. Both platforms were cross-validated by quantitative reverse transcriptase–PCR. Besides the altered expression of several miRNAs, our deep sequencing analyses revealed strong differential expression of small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs). From microarray analysis, we derived a miRNA diagnostic classifier that accurately distinguishes normal from cancer samples. Furthermore, we were able to construct a PCa prognostic predictor that independently forecasts postoperative outcome. Importantly, the majority of miRNAs included in the predictor also exhibit high sequence counts and concordant differential expression in Illumina PCa samples, supported by quantitative reverse transcriptase–PCR. Our findings provide miRNA expression signatures that may serve as an accurate tool for the diagnosis and prognosis of PCa.
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Acknowledgements
We thank Theo van der Kwast for histo-pathological examination of patient samples. We also thank Mark Wildhagen for providing the coded clinical data. We acknowledge the European Community's Seventh Framework Program (FP7/2007-2013), grant agreement No HEALTH-F2-2007-201438, the Academy of Finland; Cancer Society of Finland; Reino Lahtikari Foundation; Sigrid Juselius Foundation; and the Medical Research Fund of Tampere University Hospital for their support.
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Dr Litman and Dr Møller have been employed by Exiqon A/S and own stocks in that company. The remaining authors declare no conflict of interest.
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Martens-Uzunova, E., Jalava, S., Dits, N. et al. Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer. Oncogene 31, 978–991 (2012). https://doi.org/10.1038/onc.2011.304
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DOI: https://doi.org/10.1038/onc.2011.304
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