Okyaz Eminaga1, Reemt Hinkelammert2, Ulf Titze3, Mahmoud Abbas4, Elke Eltze5, Olaf Bettendorf6, Axel Semjonow2. 1. Department of Urology, University Hospital of Cologne, Kerpener Straße. 62, Cologne, Germany. Electronic address: okyaz.eminaga@uk-koeln.de. 2. Prostate Center, Department of Urology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Muenster, Germany. 3. Prostate Center, Gerhard-Domagk Institute for Pathology, University Hospital Muenster, Domagkstr. 17, Muenster, Germany. 4. Institute for Pathology, Hannover Medical School, OE 5110, Carl-Neuberg-Str. 1, Hannover, Germany. 5. Institute of Pathology, Saarbrücken-Rastpfuhl, Rheinstrasse 2, Saarbrücken, Germany. 6. Institute of Pathology and Cytology, Technikerstrasse 14, Schüttorf, Germany.
Abstract
PURPOSES: We investigated whether patients with organ-confined prostate cancer (PCa) and positive surgical margins (SMs) had a similar biochemical recurrence (BCR) risk compared with patients with pT3a and preoperative prostate-specific antigen (PSA) levels ≤ 10ng/ml. Furthermore, we examined the effects of incorporating SM status, Gleason score (Gls), and preoperative PSA level into the discrimination accuracy of the current tumor node metastasis-staging system. MATERIALS AND METHODS: We analyzed 863 PCa patients treated with radical prostatectomy from 1999 to 2008. Only individuals with pT2N0 or pT3N0, without neoadjuvant or adjuvant therapy, were included. We performed chi-square automatic interaction detection analysis to generate a classification model for predicting BCR by analyzing interactions between age at surgery, SM status, Gls, PSA, and tumor stage, tumor volume and relative tumor volume. Cox regression analyses tested the relationship between SM status and BCR rate after stratification according to T-stage and the novel classification. The predictive and discrimination accuracy of the current T-stage and of the classification model was quantified with time-dependent receiver operating characteristics and integrated discrimination improvement. The topographical association between extracapsular extension of PCa and positive SM was analyzed in patients with pT3aR1 using a computational reconstruction diagram of the prostate. RESULTS: The chi-square automatic interaction detection analysis found interactions among pT Stage, SM status, PSA and Gls and generated a classification model for BCR prediction: pT2R0, pT2R1, pT3a PSA ≤ 10 ng/ml, pT3a PSA>10 ng/ml and pT3b. Men with pT2R1 had a shorter time to BCR compared with men with pT3a-PSA ≤ 10 ng/ml (P<0.0001). Gls≥7a was correlated with a poorer BCR rate than Gls≤7a in men with pT2R1 or pT3a PSA ≤ 10 ng/ml (P = 0.012). The rank order (highest to lowest) for the risk of developing BCR was pT3b>pT2R1/pT3a-PSA>10 ng/ml>pT2R1/pT3a PSA ≤ 10 ng/ml>pT2R0 (P<0.0001). Discrimination accuracy gains were observed when PCa was stratified according to the novel classification (P<0.0001). A topographical association between extracapsular extension and positive SM was found in patients with pT3aR1 (P = 0.01). CONCLUSION: Patients with pT2R1 develop a similar BCR risk to that of patients with pT3a PSA ≤ 10 ng/ml. Gls≥7b is associated with a high BCR risk in these patient groups. Including SM status, PSA, and Gls in pT stage appears to improve prognostic stratification in patients with PCa.
PURPOSES: We investigated whether patients with organ-confined prostate cancer (PCa) and positive surgical margins (SMs) had a similar biochemical recurrence (BCR) risk compared with patients with pT3a and preoperative prostate-specific antigen (PSA) levels ≤ 10ng/ml. Furthermore, we examined the effects of incorporating SM status, Gleason score (Gls), and preoperative PSA level into the discrimination accuracy of the current tumor node metastasis-staging system. MATERIALS AND METHODS: We analyzed 863 PCa patients treated with radical prostatectomy from 1999 to 2008. Only individuals with pT2N0 or pT3N0, without neoadjuvant or adjuvant therapy, were included. We performed chi-square automatic interaction detection analysis to generate a classification model for predicting BCR by analyzing interactions between age at surgery, SM status, Gls, PSA, and tumor stage, tumor volume and relative tumor volume. Cox regression analyses tested the relationship between SM status and BCR rate after stratification according to T-stage and the novel classification. The predictive and discrimination accuracy of the current T-stage and of the classification model was quantified with time-dependent receiver operating characteristics and integrated discrimination improvement. The topographical association between extracapsular extension of PCa and positive SM was analyzed in patients with pT3aR1 using a computational reconstruction diagram of the prostate. RESULTS: The chi-square automatic interaction detection analysis found interactions among pT Stage, SM status, PSA and Gls and generated a classification model for BCR prediction: pT2R0, pT2R1, pT3a PSA ≤ 10 ng/ml, pT3a PSA>10 ng/ml and pT3b. Men with pT2R1 had a shorter time to BCR compared with men with pT3a-PSA ≤ 10 ng/ml (P<0.0001). Gls≥7a was correlated with a poorer BCR rate than Gls≤7a in men with pT2R1 or pT3a PSA ≤ 10 ng/ml (P = 0.012). The rank order (highest to lowest) for the risk of developing BCR was pT3b>pT2R1/pT3a-PSA>10 ng/ml>pT2R1/pT3a PSA ≤ 10 ng/ml>pT2R0 (P<0.0001). Discrimination accuracy gains were observed when PCa was stratified according to the novel classification (P<0.0001). A topographical association between extracapsular extension and positive SM was found in patients with pT3aR1 (P = 0.01). CONCLUSION:Patients with pT2R1 develop a similar BCR risk to that of patients with pT3a PSA ≤ 10 ng/ml. Gls≥7b is associated with a high BCR risk in these patient groups. Including SM status, PSA, and Gls in pT stage appears to improve prognostic stratification in patients with PCa.
Authors: Piotr Zapała; Bartosz Dybowski; Ewa Bres-Niewada; Tomasz Lorenc; Agnieszka Powała; Zbigniew Lewandowski; Marek Gołębiowski; Piotr Radziszewski Journal: Int Urol Nephrol Date: 2019-06-10 Impact factor: 2.370
Authors: Bum Sik Tae; Seok Cho; Hyun Cheol Kim; Cheol Hwan Kim; Seok Ho Kang; Jeong Gu Lee; Je Jong Kim; Hong Seok Park; Jun Cheon; Mi Mi Oh; Sung Gu Kang Journal: Sci Rep Date: 2018-07-16 Impact factor: 4.379