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Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer

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Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer. / Martens-Uzunova, E. S.; Jalava, S. E.; Dits, N. F.; Van Leenders, G. J L H; Møller, S.; Trapman, J.; Bangma, C. H.; Litman, T.; Visakorpi, T.; Jenster, G.

In: Oncogene, Vol. 31, No. 8, 23.02.2012, p. 978-991.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Martens-Uzunova, ES, Jalava, SE, Dits, NF, Van Leenders, GJLH, Møller, S, Trapman, J, Bangma, CH, Litman, T, Visakorpi, T & Jenster, G 2012, 'Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer', Oncogene, vol. 31, no. 8, pp. 978-991. https://doi.org/10.1038/onc.2011.304

APA

Martens-Uzunova, E. S., Jalava, S. E., Dits, N. F., Van Leenders, G. J. L. H., Møller, S., Trapman, J., ... Jenster, G. (2012). Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer. Oncogene, 31(8), 978-991. https://doi.org/10.1038/onc.2011.304

Vancouver

Martens-Uzunova ES, Jalava SE, Dits NF, Van Leenders GJLH, Møller S, Trapman J et al. Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer. Oncogene. 2012 Feb 23;31(8):978-991. https://doi.org/10.1038/onc.2011.304

Author

Martens-Uzunova, E. S. ; Jalava, S. E. ; Dits, N. F. ; Van Leenders, G. J L H ; Møller, S. ; Trapman, J. ; Bangma, C. H. ; Litman, T. ; Visakorpi, T. ; Jenster, G. / Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer. In: Oncogene. 2012 ; Vol. 31, No. 8. pp. 978-991.

Bibtex - Download

@article{08e93dcf22f540dc857c6e58d9c8efec,
title = "Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer",
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.",
keywords = "deep sequencing, microarray, microRNA, prostate cancer, Q-PCR, snoRNA",
author = "Martens-Uzunova, {E. S.} and Jalava, {S. E.} and Dits, {N. F.} and {Van Leenders}, {G. J L H} and S. M{\o}ller and J. Trapman and Bangma, {C. H.} and T. Litman and T. Visakorpi and G. Jenster",
year = "2012",
month = "2",
day = "23",
doi = "10.1038/onc.2011.304",
language = "English",
volume = "31",
pages = "978--991",
journal = "Oncogene",
issn = "0950-9232",
publisher = "Nature Publishing Group",
number = "8",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Diagnostic and prognostic signatures from the small non-coding RNA transcriptome in prostate cancer

AU - Martens-Uzunova, E. S.

AU - Jalava, S. E.

AU - Dits, N. F.

AU - Van Leenders, G. J L H

AU - Møller, S.

AU - Trapman, J.

AU - Bangma, C. H.

AU - Litman, T.

AU - Visakorpi, T.

AU - Jenster, G.

PY - 2012/2/23

Y1 - 2012/2/23

N2 - 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.

AB - 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.

KW - deep sequencing

KW - microarray

KW - microRNA

KW - prostate cancer

KW - Q-PCR

KW - snoRNA

UR - http://www.scopus.com/inward/record.url?scp=84857372726&partnerID=8YFLogxK

U2 - 10.1038/onc.2011.304

DO - 10.1038/onc.2011.304

M3 - Article

VL - 31

SP - 978

EP - 991

JO - Oncogene

JF - Oncogene

SN - 0950-9232

IS - 8

ER -