High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer

S. G. Zhao; W. C. Jackson; V. Kothari; M. J. Schipper; N. Erho; J. R. Evans; C. Speers; D. A. Hamstra; Y. S. Niknafs; P. L. Nguyen; E. M. Schaeffer; A. E. Ross; R. B. Den; E. A. Klein; R. B. Jenkins; E. Davicioni; F. Y. Feng

doi:10.1038/pcan.2015.22

High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer

S. G. Zhao, W. C. Jackson, V. Kothari, M. J. Schipper, N. Erho, J. R. Evans, C. Speers, D. A. Hamstra, Y. S. Niknafs, P. L. Nguyen, E. M. Schaeffer, A. E. Ross, R. B. Den, E. A. Klein, R. B. Jenkins, E. Davicioni, F. Y. Feng

School of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

Although prostate cancer (PCa) is hypothesized to differ in nature between younger versus older patients, the underlying molecular distinctions are poorly understood. We hypothesized that high-throughput transcriptomic analysis would elucidate biological differences in PCas arising in younger versus older men, and would nominate potential age-specific biomarkers and therapeutic targets.Methods:The high-density Affymetrix GeneChip platform, encompassing >1 million genomic loci, was utilized to assess gene expression in 1090 radical prostatectomy samples from patients with long-term follow-up. We identified genes associated with metastatic progression by 10 years post-treatment in younger (age

Original language	English (US)
Pages (from-to)	229-236
Number of pages	8
Journal	Prostate Cancer and Prostatic Diseases
Volume	18
Issue number	3
DOIs	https://doi.org/10.1038/pcan.2015.22
State	Published - Sep 14 2015

ASJC Scopus subject areas

Oncology
Urology
Cancer Research

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10.1038/pcan.2015.22

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Zhao, S. G., Jackson, W. C., Kothari, V., Schipper, M. J., Erho, N., Evans, J. R., Speers, C., Hamstra, D. A., Niknafs, Y. S., Nguyen, P. L., Schaeffer, E. M., Ross, A. E., Den, R. B., Klein, E. A., Jenkins, R. B., Davicioni, E., & Feng, F. Y. (2015). High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer. Prostate Cancer and Prostatic Diseases, 18(3), 229-236. https://doi.org/10.1038/pcan.2015.22

High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer. / Zhao, S. G.; Jackson, W. C.; Kothari, V.; Schipper, M. J.; Erho, N.; Evans, J. R.; Speers, C.; Hamstra, D. A.; Niknafs, Y. S.; Nguyen, P. L.; Schaeffer, E. M.; Ross, A. E.; Den, R. B.; Klein, E. A.; Jenkins, R. B.; Davicioni, E.; Feng, F. Y.

In: Prostate Cancer and Prostatic Diseases, Vol. 18, No. 3, 14.09.2015, p. 229-236.

Research output: Contribution to journal › Article › peer-review

Zhao, SG, Jackson, WC, Kothari, V, Schipper, MJ, Erho, N, Evans, JR, Speers, C, Hamstra, DA, Niknafs, YS, Nguyen, PL, Schaeffer, EM, Ross, AE, Den, RB, Klein, EA, Jenkins, RB, Davicioni, E & Feng, FY 2015, 'High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer', Prostate Cancer and Prostatic Diseases, vol. 18, no. 3, pp. 229-236. https://doi.org/10.1038/pcan.2015.22

Zhao, S. G. ; Jackson, W. C. ; Kothari, V. ; Schipper, M. J. ; Erho, N. ; Evans, J. R. ; Speers, C. ; Hamstra, D. A. ; Niknafs, Y. S. ; Nguyen, P. L. ; Schaeffer, E. M. ; Ross, A. E. ; Den, R. B. ; Klein, E. A. ; Jenkins, R. B. ; Davicioni, E. ; Feng, F. Y. / High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer. In: Prostate Cancer and Prostatic Diseases. 2015 ; Vol. 18, No. 3. pp. 229-236.

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AU - Schipper, M. J.

AU - Erho, N.

AU - Evans, J. R.

AU - Speers, C.

AU - Hamstra, D. A.

AU - Niknafs, Y. S.

AU - Nguyen, P. L.

AU - Schaeffer, E. M.

AU - Ross, A. E.

AU - Den, R. B.

AU - Klein, E. A.

AU - Jenkins, R. B.

AU - Davicioni, E.

AU - Feng, F. Y.

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High-throughput transcriptomic analysis nominates proteasomal genes as age-specific biomarkers and therapeutic targets in prostate cancer

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