Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: A retrospective study Journal Article


Authors: Cuzick, J.; Swanson, G. P.; Fisher, G.; Brothman, A. R.; Berney, D. M.; Reid, J. E.; Mesher, D.; Speights, V. O.; Stankiewicz, E.; Foster, C. S.; Møller, H.; Scardino, P.; Warren, J. D.; Park, J.; Younus, A.; Flake, D. D.; Wagner, S.; Gutin, A.; Lanchbury, J. S.; Stone, S.
Article Title: Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: A retrospective study
Abstract: Background: Optimum management of clinically localised prostate cancer presents unique challenges because of the highly variable and often indolent natural history of the disease. To predict disease aggressiveness, clinicians combine clinical variables to create prognostic models, but the models have limited accuracy. We assessed the prognostic value of a predefined cell cycle progression (CCP) score in two cohorts of patients with prostate cancer. Methods: We measured the expression of 31 genes involved in CCP with quantitative RT-PCR on RNA extracted from formalin-fixed paraffin-embedded tumour samples, and created a predefined score and assessed its usefulness in the prediction of disease outcome. The signature was assessed retrospectively in a cohort of patients from the USA who had undergone radical prostatectomy, and in a cohort of randomly selected men with clinically localised prostate cancer diagnosed by use of a transurethral resection of the prostate (TURP) in the UK who were managed conservatively. The primary endpoint was time to biochemical recurrence for the cohort of patients who had radical prostatectomy, and time to death from prostate cancer for the TURP cohort. Findings: After prostatectomy, the CCP score was useful for predicting biochemical recurrence in the univariate analysis (hazard ratio for a 1-unit change [doubling] in CCP 1·89; 95% CI 1·54-2·31; p=5·6×10-9) and the best multivariate analysis (1·77, 1·40-2·22; p=4·3×10-6). In the best predictive model (final multivariate analysis), the CCP score and prostate-specific antigen (PSA) concentration were the most important variables and were more significant than any other clinical variable. In the TURP cohort, the CCP score was the most important variable for prediction of time to death from prostate cancer in both univariate analysis (2·92, 2·38-3·57, p=6·1×10-22) and the final multivariate analysis (2·57, 1·93-3·43; p=8·2×10-11), and was stronger than all other prognostic factors, although PSA concentration also added useful information. Heterogeneity in the hazard ratio for the CCP score was not noted in any case for any clinical variables. Interpretation: The results of this study provide strong evidence that the CCP score is a robust prognostic marker, which, after additional validation, could have an essential role in determining the appropriate treatment for patients with prostate cancer. Funding: Cancer Research UK, Queen Mary University of London, Orchid Appeal, US National Institutes of Health, and Koch Foundation. © 2011 Elsevier Ltd.
Keywords: controlled study; human tissue; unclassified drug; major clinical study; validation process; united states; outcome assessment; recurrence risk; prostate specific antigen; cell cycle progression; reverse transcription polymerase chain reaction; gene expression profiling; cell protein; cohort analysis; retrospective study; prediction; cancer mortality; risk assessment; prostate cancer; rna; polo like kinase 1; conservative treatment; prostatectomy; scoring system; rad54 protein; cancer tissue; transurethral resection; cyclin dependent kinase inhibitor; united kingdom; rad51 protein; time of death; cyclin dependent kinase 1; securin; cell cycle protein 20; centromere protein f; cyclin dependent kinase inhibitor 3; minichromosome maintenance protein; minichromosome maintenance protein 10; protein asf1b; protein birc5; protein bub1b; protein cdca3; protein cdca8; protein cenpm; protein cep55; protein dlgap5; protein dtl; protein kif20a; protein orc6l; protein pbk; protein prc1; protein rrm2; protein top2a
Journal Title: Lancet Oncology
Volume: 12
Issue: 3
ISSN: 1470-2045
Publisher: Elsevier Science, Inc.  
Date Published: 2011-03-01
Start Page: 245
End Page: 255
Language: English
DOI: 10.1016/s1470-2045(10)70295-3
PROVIDER: scopus
PMCID: PMC3091030
PUBMED: 21310658
DOI/URL:
Notes: --- - "Export Date: 23 June 2011" - "CODEN: LOANB" - "Source: Scopus"
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  1. Peter T Scardino
    671 Scardino