Tumour length of the largest focus predicts prostate-specific antigen-based recurrence after radical prostatectomy in clinically localized prostate cancer

Ryuichi Mizuno, Jun Nakashima, Makio Mukai, Hajime Okita, Michio Kosugi, Eiji Kikuchi, Akira Miyajima, Ken Nakagawa, Takashi Ohigashi, Mototsugu Oya

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Objective To investigate the possible significance of tumour dimensional variables, including maximum tumour diameter (MTD), maximum tumour area (MTA) and total tumour volume (TTV), with standard prognostic factors for predicting prostate-specific antigen (PSA) recurrence after radical prostatectomy (RP). Patients and Methods Serial whole sections of the prostate from 164 patients who had RP for localized prostate cancer were investigated. Cox proportional hazards regression models were used for univariate and multivariate analyses to test the relationships between biochemical failure and clinicopathological factors, including tumour dimensional variables. The results were analysed retrospectively to develop a prognostic factor-based model for risk stratification. RESULTS In the univariate Cox proportional hazard model, pathological T stage, Gleason score, perineural invasion, microvascular invasion, positive surgical margins, MTD, MTA and TTV were significantly associated with biochemical failure. In the multivariate Cox proportional hazard model using a stepwise inclusion of these factors, Gleason score, positive surgical margins and MTD were independent indices in association with biochemical failure. Using the three statistically significant variables, the relative risk of biochemical failure could be calculated. Conclusion These results imply that MTD is possibly one of the most important prognostic factors for predicting biochemical recurrence after RP. As calculating the MTD on the section a rapid, simple and objective method, it can be used instead of the TTV calculation. The prognostic factor- based risk stratification might help clinicians to predict biochemical failure after RP.

Original languageEnglish
Pages (from-to)1215-1218
Number of pages4
JournalBJU International
Volume104
Issue number9
DOIs
Publication statusPublished - 2009 Nov

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Prostate-Specific Antigen
Prostatectomy
Prostatic Neoplasms
Recurrence
Neoplasms
Tumor Burden
Proportional Hazards Models
Neoplasm Grading
Prostate
Multivariate Analysis

Keywords

  • Biochemical recurrence
  • Prostate cancer
  • Tumour diameter
  • Tumour volume

ASJC Scopus subject areas

  • Urology

Cite this

Tumour length of the largest focus predicts prostate-specific antigen-based recurrence after radical prostatectomy in clinically localized prostate cancer. / Mizuno, Ryuichi; Nakashima, Jun; Mukai, Makio; Okita, Hajime; Kosugi, Michio; Kikuchi, Eiji; Miyajima, Akira; Nakagawa, Ken; Ohigashi, Takashi; Oya, Mototsugu.

In: BJU International, Vol. 104, No. 9, 11.2009, p. 1215-1218.

Research output: Contribution to journalArticle

Mizuno, Ryuichi ; Nakashima, Jun ; Mukai, Makio ; Okita, Hajime ; Kosugi, Michio ; Kikuchi, Eiji ; Miyajima, Akira ; Nakagawa, Ken ; Ohigashi, Takashi ; Oya, Mototsugu. / Tumour length of the largest focus predicts prostate-specific antigen-based recurrence after radical prostatectomy in clinically localized prostate cancer. In: BJU International. 2009 ; Vol. 104, No. 9. pp. 1215-1218.
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T1 - Tumour length of the largest focus predicts prostate-specific antigen-based recurrence after radical prostatectomy in clinically localized prostate cancer

AU - Mizuno, Ryuichi

AU - Nakashima, Jun

AU - Mukai, Makio

AU - Okita, Hajime

AU - Kosugi, Michio

AU - Kikuchi, Eiji

AU - Miyajima, Akira

AU - Nakagawa, Ken

AU - Ohigashi, Takashi

AU - Oya, Mototsugu

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N2 - Objective To investigate the possible significance of tumour dimensional variables, including maximum tumour diameter (MTD), maximum tumour area (MTA) and total tumour volume (TTV), with standard prognostic factors for predicting prostate-specific antigen (PSA) recurrence after radical prostatectomy (RP). Patients and Methods Serial whole sections of the prostate from 164 patients who had RP for localized prostate cancer were investigated. Cox proportional hazards regression models were used for univariate and multivariate analyses to test the relationships between biochemical failure and clinicopathological factors, including tumour dimensional variables. The results were analysed retrospectively to develop a prognostic factor-based model for risk stratification. RESULTS In the univariate Cox proportional hazard model, pathological T stage, Gleason score, perineural invasion, microvascular invasion, positive surgical margins, MTD, MTA and TTV were significantly associated with biochemical failure. In the multivariate Cox proportional hazard model using a stepwise inclusion of these factors, Gleason score, positive surgical margins and MTD were independent indices in association with biochemical failure. Using the three statistically significant variables, the relative risk of biochemical failure could be calculated. Conclusion These results imply that MTD is possibly one of the most important prognostic factors for predicting biochemical recurrence after RP. As calculating the MTD on the section a rapid, simple and objective method, it can be used instead of the TTV calculation. The prognostic factor- based risk stratification might help clinicians to predict biochemical failure after RP.

AB - Objective To investigate the possible significance of tumour dimensional variables, including maximum tumour diameter (MTD), maximum tumour area (MTA) and total tumour volume (TTV), with standard prognostic factors for predicting prostate-specific antigen (PSA) recurrence after radical prostatectomy (RP). Patients and Methods Serial whole sections of the prostate from 164 patients who had RP for localized prostate cancer were investigated. Cox proportional hazards regression models were used for univariate and multivariate analyses to test the relationships between biochemical failure and clinicopathological factors, including tumour dimensional variables. The results were analysed retrospectively to develop a prognostic factor-based model for risk stratification. RESULTS In the univariate Cox proportional hazard model, pathological T stage, Gleason score, perineural invasion, microvascular invasion, positive surgical margins, MTD, MTA and TTV were significantly associated with biochemical failure. In the multivariate Cox proportional hazard model using a stepwise inclusion of these factors, Gleason score, positive surgical margins and MTD were independent indices in association with biochemical failure. Using the three statistically significant variables, the relative risk of biochemical failure could be calculated. Conclusion These results imply that MTD is possibly one of the most important prognostic factors for predicting biochemical recurrence after RP. As calculating the MTD on the section a rapid, simple and objective method, it can be used instead of the TTV calculation. The prognostic factor- based risk stratification might help clinicians to predict biochemical failure after RP.

KW - Biochemical recurrence

KW - Prostate cancer

KW - Tumour diameter

KW - Tumour volume

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