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Updated: Aug 18, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 3, 2013
[Multivariate analysis of prognostic factors in patients with prostatic cancer]
T Miyamoto1, M Yuasa, A Furukawa
1Department of Urology, Takamatsu Red Cross Hospital.
Abstract:
A multivariate statistical analysis of 9 potential prognostic factors was made, using data gathered on 107 patients admitted between 1975 and 1987. After each variable was assessed separately for its prognostic importance by means of univariate analysis, a multivariate analysis using Cox's proportional hazards regression model and multivariate logistic model was done. These tests identified Gleason's score as the most important factor for all patients followed by M category and alkaline phosphatase (ALP), while Gleason's score alkaline phosphatase and age at diagnosis were most important for stage D patients. For short-term survival, the significant prognostic factors were Gleason's score and M category while for long term survival they were Gleason's score and age. T. category, stage, acid phosphatase, prostatic acid phosphatase, and treatment were found to be significantly related to survival time when examined individually; they were not found to be significant in the multivariate analysis.
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