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Updated: May 1, 2026

Three-Dimensional Culture Assay to Explore Cancer Cell Invasiveness and Satellite Tumor Formation
Published on: August 18, 2016
Relationship between prostate cancer gene 3 (PCA3) and characteristics of tumor aggressiveness
Herbert Augustin1, Katrin Mayrhofer, Karl Pummer
1Department of Urology, Medical University of Graz, Graz, Austria. herbert.augustin@medunigraz.at
Background:
Data supporting prostate cancer gene 3 (PCA3) as prognostic marker are still inconsistent. With special emphasis to Gleason pattern specific tumor volumes (TVs) the relationships between PCA3 score and different characteristics of tumor aggressiveness were meticulously analyzed.
Methods:
In 127 patients treated with radical prostatectomy for clinically localized prostate cancer, urinary PCA3 score was quantified using Progensa™ PCA3 assay. Total TV and Gleason patterns' specific tumor volumes (GPTV) were assessed by computer-assisted planimetry. Spearman's rank correlations coefficients (r) were calculated to assess relationships between PCA3 and TV as well as GPTV. Regression analyses were performed to estimate the relationship between PCA3 and TV as well as non-organ confined disease.
Results:
Mean patients' age was 60.8 years. Patients showed a mean PSA level of 8.1 ng/ml and a mean PCA3 score of 68.5. PCA3 was not significantly correlated with TV (r = 0.131, P = 0.142). Stratified by Gleason score groups ≤ 6, 7, and ≥ 8, PCA3 showed no significant correlations with TV. In a subgroup analysis of 50 patients with different primary and secondary Gleason patterns there was neither a correlation with the primary GPTV (r = 0.071, P = 0.626) nor with the secondary GPTV (r = 0.052, P = 0.722). The PCA3 score was neither an independent predictor for TV nor for non-organ confined disease.
Conclusions:
The PCA3 score did not show any significant correlation with TV, primary or secondary GPTV. Moreover, the PCA3 score was not an independent predictor for TV or for non-organ confined disease. Thus, the PCA3 score had no impact for the prediction of aggressive prostate cancers.
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