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A Novel Gene Signature for Molecular Diagnosis of Human Prostate Cancer by RT-qPCR

Author

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  • Federica Rizzi
  • Lucia Belloni
  • Pellegrino Crafa
  • Mirca Lazzaretti
  • Daniel Remondini
  • Stefania Ferretti
  • Piero Cortellini
  • Arnaldo Corti
  • Saverio Bettuzzi

Abstract

Background: Prostate cancer (CaP) is one of the most relevant causes of cancer death in Western Countries. Although detection of CaP at early curable stage is highly desirable, actual screening methods present limitations and new molecular approaches are needed. Gene expression analysis increases our knowledge about the biology of CaP and may render novel molecular tools, but the identification of accurate biomarkers for reliable molecular diagnosis is a real challenge. We describe here the diagnostic power of a novel 8-genes signature: ornithine decarboxylase (ODC), ornithine decarboxylase antizyme (OAZ), adenosylmethionine decarboxylase (AdoMetDC), spermidine/spermine N(1)-acetyltransferase (SSAT), histone H3 (H3), growth arrest specific gene (GAS1), glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and Clusterin (CLU) in tumour detection/classification of human CaP. Methodology/Principal Findings: The 8-gene signature was detected by retrotranscription real-time quantitative PCR (RT-qPCR) in frozen prostate surgical specimens obtained from 41 patients diagnosed with CaP and recommended to undergo radical prostatectomy (RP). No therapy was given to patients at any time before RP. The bio-bank used for the study consisted of 66 specimens: 44 were benign-CaP paired from the same patient. Thirty-five were classified as benign and 31 as CaP after final pathological examination. Only molecular data were used for classification of specimens. The Nearest Neighbour (NN) classifier was used in order to discriminate CaP from benign tissue. Validation of final results was obtained with 10-fold crossvalidation procedure. CaP versus benign specimens were discriminated with (80±5)% accuracy, (81±6)% sensitivity and (78±7)% specificity. The method also correctly classified 71% of patients with Gleason score

Suggested Citation

  • Federica Rizzi & Lucia Belloni & Pellegrino Crafa & Mirca Lazzaretti & Daniel Remondini & Stefania Ferretti & Piero Cortellini & Arnaldo Corti & Saverio Bettuzzi, 2008. "A Novel Gene Signature for Molecular Diagnosis of Human Prostate Cancer by RT-qPCR," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-9, October.
    • Handle: RePEc:plo:pone00:0003617
    DOI: 10.1371/journal.pone.0003617
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    References listed on IDEAS

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    1. Dudoit S. & Fridlyand J. & Speed T. P, 2002. "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 77-87, March.
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    1. Wei-Chung Cheng & Cheng-Wei Chang & Chaang-Ray Chen & Min-Lung Tsai & Wun-Yi Shu & Chia-Yang Li & Ian C Hsu, 2011. "Identification of Reference Genes across Physiological States for qRT-PCR through Microarray Meta-Analysis," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-8, February.

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