To find out which factors could predict the diagnosis of insignificant prostate cancer (ins-PCa) according to a recently updated definition (overall tumor volume up to 2.5 cm(3); final Gleason score ≤6; organ-confined disease) on a prostatic biopsy specimen.This was a retrospective analysis of 210 patients undergoing radical prostatectomy for a cT1c prostate neoplasm with a biopsy specimen Gleason score of ≤6. A logistic regression model was used to assess the differences in the distribution of some possibly predictive factors between the ins-PCa patients, according to the updated definition, and the remaining patients.By applying an updated definition of ins-PCa, the prevalence of this condition increased from 13.3\% to 49.5\% (104 of 210 patients). The univariate analysis showed a statistically different distribution of the following factors: prostate-specific antigen density, prostate volume, number of cancer-involved cores, and maximum percentage of core involvement by cancer. At the multivariable analysis, the maximum percentage of involvement of the core retained its relevance (27.0\% in ins-PCa patients and 43.8\% in the remaining patients; hazard ratio, 0.972; P = .046), and a 20\% cutoff was detected.In a cohort of patients with PCa cT1c and a biopsy specimen Gleason score of ≤6, the ins-PCa rate, according to the updated definition, is close to 50\%, and the percentage of cancer involvement of the core is the single factor that best predicts this diagnosis.

The percentage of core involved by cancer is the best predictor of insignificant prostate cancer, according to an updated definition (tumor volume up to 2.5 cm3): analysis of a cohort of 210 consecutive patients with low-risk disease.

A. Antonelli;SIMEONE, Claudio
2014-01-01

Abstract

To find out which factors could predict the diagnosis of insignificant prostate cancer (ins-PCa) according to a recently updated definition (overall tumor volume up to 2.5 cm(3); final Gleason score ≤6; organ-confined disease) on a prostatic biopsy specimen.This was a retrospective analysis of 210 patients undergoing radical prostatectomy for a cT1c prostate neoplasm with a biopsy specimen Gleason score of ≤6. A logistic regression model was used to assess the differences in the distribution of some possibly predictive factors between the ins-PCa patients, according to the updated definition, and the remaining patients.By applying an updated definition of ins-PCa, the prevalence of this condition increased from 13.3\% to 49.5\% (104 of 210 patients). The univariate analysis showed a statistically different distribution of the following factors: prostate-specific antigen density, prostate volume, number of cancer-involved cores, and maximum percentage of core involvement by cancer. At the multivariable analysis, the maximum percentage of involvement of the core retained its relevance (27.0\% in ins-PCa patients and 43.8\% in the remaining patients; hazard ratio, 0.972; P = .046), and a 20\% cutoff was detected.In a cohort of patients with PCa cT1c and a biopsy specimen Gleason score of ≤6, the ins-PCa rate, according to the updated definition, is close to 50\%, and the percentage of cancer involvement of the core is the single factor that best predicts this diagnosis.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/354512
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 15
social impact