Radical prostatectomy. Prognostic value of positive surgical margins in pT2 patients.

OBJECTIVES: We intend to assess the prognostic influence of surgical margins on the biochemical progression free survival (BPFS) in patients classified as pT2 after radical prostatectomy. METHODS: We analyze a series of 1,132 T1-T2 patients with prostate cancer treated with radical prostatectomy between 1989-2009. PT3b, pT4 and patients with lymph node involvement were excluded from the series. The clinicopathologic variables and the BPFS of pT2(+), pT2(-) and pT3 patients are compared. The influential clinicopathologic variables in the BPFS are identified in the pT2(+) group and risk groups are designed. RESULTS: Of 1,051 patients evaluated finally: 598 (59,6) were pT2(-) 163 (15,5%) pT2(+)80 (7,6%) pT3a(-) and 210 (20%) pT3(+). Clinical characteristics of pT2(+). It is homogeneous with the pT2(-) group and significantly better than pT3(+) group in all the clinicopathologic variables evaluated. 5 and 10 year BPFS of the pT2(68 ± 3% and 57 ± 5%) is significantly worse than pT2( -)(87 ± 1% and 79 ± 2%), similar to pT3a(-) (75 ± 5% and 64 ± 7%and better than pT3(+) (44 ± 3% and (36 ± 3%) BPFS pT2(+) influential factors: Univariate study : Pathological Gleason score 7-10 (HR:2.1 95% IC: 1.1-4.1), (p=0.02)MRI that indicates T3 (HR:3.2 95%IC: 1.4-7.3), (p=0.04) PSA > 15 ng-ml (HR:4 95% IC: 2-8.2), (p < 0.0001) and high risk D'Amico group (HR:3.3 95%IC: 1.3-8.5), (p=0.01) are influential variables. A risk model with the involved variables can be designed. Each variable present is a point. Two groups are designed : Group 1 (0-1 variable) Group 2 (2-3 variables). 5 and 10 year BPFS for Group 1 are 71±5% and 69 ± 5%, and are 37 ± 12% and 22 ± 11% for Group 2. (p < 0.0001). CONCLUSIONS: Surgical margins in pT2 patients have independent influence in the BPFS. The group is heterogeneous and it can be divided into two risk groups accordingly to the BPFS influential variables: a larger group (86% pT2(+) with worse prognosis than pT2(-), and a smaller group (remaining 14%) with similar prognosis to pT3 (+).It is likely that pT2(+) patients are a mixture of understaged patients with others with iatrogenic margins or false margins due to poor assessment of the surgical specimen.

Prostatectomía radical. Valor pronóstico de los márgenes afectados en pacientes pT2 / Radical prostatectomy. Prognostic value of positive surgical margins in pT2 patients

OBJETIVO: Valorar en pacientes prostatectomizados y calificados como pT2, la influencia pronóstica sobre la Supervivencia Libre de Progresión Bioquímica (SLPB) de los márgenes afectados. MÉTODOS: Analizamos retrospectivamente una serie de 1.132 pacientes con cáncer de próstata T1-T2 tratados con prostatectomía radical entre 1.989-2.009. Se excluyen los pacientes con afectación de vesícula seminal, afectación ganglionar y pT4. Comparamos las variables clínico-patológicas y la SLPB de los pT2 (+) con pT2 (-) y pT3. Identificamos las variables clínico-patológicas influyentes en la SLPB de los pT2 (+) y con ellas diseñamos grupos de riesgo. RESULTADOS: De los 1.051 incluídos finalmente, 598 (59,6%) son pT2 (-); 163 (15,5%) pT2 (+); 80 (7,6%) pT3a (-) y 210 (20%) pT3 (+). Características clínicas de pT2 (+). Es homogéneo con el grupo pT2 (-) y significativamente mejor que los pT3(+) en todas las variables clínico-patológicas evaluadas. La (SLPB) de los pT2 (+) (68±3% y 57±5%) es significativamente peor que la de los pT2 (-) (87±1% y 79±2%), similar a los pT3a(-) (75±5% y 64±7%) y mejor que la de los pT3(+) (44±3% y 36±3%) en 5 y 10 años. Factores influyentes en SLPB en pT2 (+): Estudio univariado. Son influyentes: Gleason patológico 7-10 (HR:2,1; IC 95% 1,1-4,1), (p=0,02); RNM que indica T3 (HR:3,2; IC 95% 1,4-7,3), (p=0,04); PSA>15 ng/ml (HR:4; IC 95% 2-8,2), (p<0,0001) y D’Amico alto riesgo (HR:3,3; IC 95% 1,3-8,5), (p=0,01). Se diseña un modelo de riesgo con las variables implicadas. Cada variable presente es un punto. Se diseñan dos grupos: Grupo 1 (86%)(0-1 variable); Grupo 2 (14%)(2-3 variables). La SLPB del grupo 1 es a 5 y 10 años de 71±5% y 69±5% y la del grupo 2 es de 37±12% y 22±11%.(p<0,0001). CONCLUSIONES: La afectación de márgenes en pacientes pT2 tiene una influencia independiente en la SLPB. El grupo es heterogéneo y puede ser dividido según las variables influyentes en la SLPB en un grupo mayor (86% de pT2 (+)) con peor pronóstico que los pT2 (-), y un grupo menor (14 % restante) con pronóstico similar a pT3 (+). Es probable que los pacientes pT2 (+) sean una mezcla de pacientes infraestadiados con otros con márgenes y atrogénicos o falsos por mala valoración de la pieza operatoria (AU)

OBJECTIVES: We intend to assess the prognostic influence of surgical margins on the biochemical progression free survival (BPFS) in patients classified as pT2 after radical prostatectomy. METHODS: We analyze a series of 1,132 T1-T2 patients with prostate cancer treated with radical prostatectomy between 1989-2009. PT3b, pT4 and patients with lymph node involvement were excluded from the series. The clinicopathologic variables and the BPFS of pT2 (+), pT2 (-) and pT3 patients are compared. The influential clinicopathologic variables in the BPFS are identified in the pT2 (+) group and risk groups are designed.RESULTS: Of 1,051 patients evaluated finally: 598 (59,6%) were pT2 (-); 163 (15,5%) pT2 (+);80 (7,6%) pT3a (-) and 210 (20%) pT 3(+).Clinical characteristics of pT2 (+). It is homogeneous with the pT2(-) group and significantly better than pT3 (+) group in all the clinicopathologic variables evaluated. 5 and 10 year BPFS of the pT2 (+) (68±3% and 57±5%) is significantly worse than pT2 (-) (87±1% and 79±2%), similar to pT3a (-) (75±5% and 64±7%) and better than pT3 (+) (44±3% and 36±3%).BPFS pT2 (+) influential factors: Univariate study: Pathological Gleason score 7-10 (HR:2.1; 95% IC: 1.1-4.1), (p=0.02); MRI that indicates T3 (HR:3.2; 95%IC: 1.4-7.3), (p=0.04); PSA>15 ng/ml (HR:4; 95%IC: 2-8.2), (p<0.0001) and high risk D’Amico group (HR:3.3; 95%IC: 1.3-8.5), (p=0.01) are influential variables. A risk model with the involved variables can be designed. Each variable present is a point. Two groups are designed: Group 1 (0-1 variable); Group 2 (2-3 variables). 5 and 10 year BPFS for Group 1 are 71±5% and 69±5%, and are 37±12% and 22±11% for Group 2 (p <0.0001). CONCLUSIONS: Surgical margins in pT2 patients have independent influence in the BPFS. The group is heterogeneous and it can be divided into two risk groups accordingly to the BPFS influential variables: a larger group (86% pT2(+)) with worse prognosis than pT2(-), and a smaller group (remaining 14%) with similar prognosis to pT3 (+).It is likely that pT2(+) patients are a mixture of understaged patients with others with iatrogenic margins or false margins due to poor assessment of the surgical specimen (AU)

[Prostate adenocarcinoma. Predictive clinical model of seminal vesicle involvement]. / Adenocarcinoma de próstata. Modelo clínico predictivo de afectación de vesícula seminal.

OBJECTIVES: Our aim is to design a predictive model of seminal vesicle involvement. using clinical data. METHODS: We studied 1128 patients with clinically localized adenocarcinoma treated by radical prostatectomy (127 were pT3b). We identified (logistic regression) clinical variables related with pT3b. With the multivariate study influential variables a seminal vesicle involvement risk model is designed. RESULTS: Seminal vesicle involvement related factors: In univariate study: the influential variables are: Gleason 7 (OR:2);Gleason 8-10 (OR:4.5) T2 (OR:2.6); bilateral involvement in biopsy (OR:3.1); PSA 10-20 ng/ml ( OR:3.3); PSA >20 ng/ ml (OR:9.5). In the multivariate study are influential: Gleason 7 (OR:1.56) Gleason 8-10 ( OR: 3.4); T2 (OR:1.9); PSA 10-20 ng/ml (OR:3.1) and PSA >20 ng/,ml (OR:8.8). Predictive model: using multivariate logistic regression the weight of each variable is valued and a value between 1 and 4 is given. Gleason 2-6, T1; PSA<10 ng/ml value 1; Gleason 7; T2 y PSA 10-20 ng/ml value 2; Gleason 8-10 and PSA >20 ng/ml value 4. Each patient has a marker that fluctuates between 3 and 10. 5 Groups are designed with significantly different risks (p<0.05 in all cases ): Group 1 (3 points) (OR:1) (risk: 2.4% 95%IC 0.7%-4.3%) Group 2 (4 points) (OR:2.7) (risk: 6.5% 95%IC 5%-7.9%); Group 3(5-6 points) (OR:7.1)( risk:15% 95%IC 11%-19%) Group 4 ( 7--8 points) (OR:33.4) (risk: 45.5%; 95%IC 30%-59%) Group 5 (9-10 points) (OR:57.3) (risk: 58.8% 95%IC 35%- 82%). CONCLUSION: The clinical model allows an accurate approximation to the seminal vesicles involvement risk.

Adenocarcinoma de próstata. Modelo clínico predictivo de afectación de vesícula seminal / Prostate adenocarcinoma. Predictive clinical model of seminal vesicle involvement

OBJETIVOS: Se pretende diseñar utilizando los datos clínicos un modelo predictivo de afectación de vesícula seminal. MÉTODOS: Se estudian 1.128 pacientes con adenocarcinoma clínicamente localizado tratados mediante prostatectomía radical (127 son pT3b). Se identifican (regresión logística) las variables clínicas relacionadas con pT3b. Con las variables del estudio multivariado se diseña un modelo de riesgo de afectación de vesícula seminal. RESULTADOS: Factores relacionados con afectación de vesícula seminal: En estudio univariado: las variables influyentes son: Gleason 7 (OR:2); Gleason 8-10 (OR:4,5); T2 (OR:2,6); afectación bilateral en biopsia (OR:3,1); PSA 10-20 ng/ml (OR:3,3); PSA >20 ng/ml (OR:9,5). En el estudio multivariado son influyentes: Gleason 7 (OR:1,56); Gleason 8-10 (OR: 3,4); T2 (OR:1,9); PSA 10-20 ng/ml (OR:3,1) y PSA >20 ng/ml (OR:8,8). MODELO PREDICTIVO: mediante regresión logística multivariante se valora el peso de cada variable y se da un valor entre 1 y 4. Gleason 2-6, T1; PSA<10 ng/ml valor 1; Gleason 7; T2 y PSA 10-20 ng/ml valor 2; Gleason 8-10 y PSA >20 ng/ml valor 4. Cada paciente tiene un marcador que oscila entre 3 y 10. Se diseñan 5 grupos con riesgos significativamente diferentes (p<0,05 en todos los casos): Grupo 1 (3 puntos)(OR:1)(riesgo: 2,4%; IC95% 0,7%-4,3%). Grupo 2 (4 puntos) (OR:2,7)(riesgo: 6,5%; IC95% 5%-7,9%). Grupo 3 (5-6 puntos)(OR:7,1) (riesgo:15%; IC95% 11%-19%). Grupo 4 (7-8 puntos)(OR:33,4)(riesgo: 45,5%; IC95% 30%-59%). Grupo 5 (9-10 puntos)(OR:57,3)(riesgo: 58,8%; IC95% 35%-82%). CONCLUSIÓN: El modelo clínico permite una aproximación precisa al riesgo de afectación de vesículas seminales (AU)

OBJECTIVES: Our aim is to design a predictive model of seminal vesicle involvement. using clinical data. METHODS: We studied 1128 patients with clinically localized adenocarcinoma treated by radical prostatectomy (127 were pT3b). We identified (logistic regression) clinical variables related with pT3b. With the multivariate study influential variables a seminal vesicle involvement risk model is designed. RESULTS: Seminal vesicle involvement related factors: In univariate study: the influential variables are: Gleason 7 (OR:2);Gleason 8-10 (OR:4.5); T2 (OR:2.6); bilateral involvement in biopsy (OR:3.1); PSA 10-20 ng/ml (OR:3.3); PSA >20 ng/ml (OR:9.5). In the multivariate study are influential: Gleason 7 (OR: 1.56); Gleason 8-10 (OR: 3.4); T2 (OR:1.9); PSA 10-20 ng/ml (OR:3.1) and PSA >20 ng/ml (OR:8.8). Predictive model: using multivariate logistic regression the weight of each variable is valued and a value between 1 and 4 is given. Gleason 2-6, T1; PSA<10 ng/ml value 1; Gleason 7; T2 y PSA 10-20 ng/ml value 2; Gleason 8-10 and PSA >20 ng/ml value 4. Each patient has a marker that fluctuates between 3 and 10. 5 Groups are designed with significantly different risks (p<0.05 in all cases): Group 1 (3 points) (OR:1)(risk: 2.4%; 95%IC 0.7%-4.3%) Group 2 (4 points) (OR:2.7)(risk: 6.5%; 95%IC 5%-7.9%) Group 3 (5-6 points) (OR:7.1)(risk:15%; 95%IC 11%-19%) Group 4 (7-8 points) (OR:33.4)(risk: 45.5%; 95%IC 30%-59%) Group 5 (9-10 points) (OR:57.3)(risk: 58.8%; 95%IC 35%-82%). CONCLUSION: The clinical model allows an accurate approximation to the seminal vesicles involvement risk (AU)

Immediate renal Doppler ultrasonography findings (<24 h) and its association with graft survival.

PURPOSE: Renal Doppler ultrasonography (DUS) is the gold-standard image test for follow-up after renal transplantation, it is potentially useful to detect renal disease and it could be related with long-term survival. We evaluate whether renal graft survival can be predicted by immediate renal Doppler ultrasonography (IRDUS), defined as ultrasonography carried out in the first 24 h post-surgery. MATERIALS AND METHODS: Immediate renal DUS findings (resistance index, hydronephrosis, fluid collection, bruises, and vascularization abnormalities) and their association with graft survival were analyzed in a retrospective observational study of 343 renal allografts. Renal transplantation was done using a standard technique, and DUS was performed 24 h post-transplantation. The association of variables with graft survival was evaluated by Cox univariate and multivariate proportional hazards analysis. Kaplan-Meier survival analysis and the log-rank test were used to examine graft survival. RESULTS: The follow-up median was 85 months. On IRDUS, 137 patients (39.9%) had abnormal findings. The best RI cutpoint for the prediction of graft survival was 0.7; therefore, we defined two different groups: RI ≤ 0.7 (n = 247) versus RI > 0.7 (n = 96). Univariate analysis revealed that graft survival was significantly lower in patients with RI > 0.7 (P ≤ 0.001), vascularization abnormalities (P ≤ 0.001) or bruises (P = 0.026). In multivariate analysis, the only factors independently associated with graft survival were RI (odds ratio 2.4; 95% CI 1.4-4.1) and vascularization abnormalities (odds ratio 2.7; 95% CI 1.1-6.5). CONCLUSIONS: IRDUS can be useful, besides being highly useful in the diagnosis of graft primary dysfunction in the transplanted patient also yields information that can help to predict long-term graft survival.

Association of steroid and xenobiotic receptor (SXR) and multidrug resistance 1 (MDR1) gene expression with survival among patients with invasive bladder carcinoma.

UNLABELLED: What's known on the subject? and What does the study add? SXR and MDR1 are known as responsible for chemo and radiotherapy resistance in some cancers, like kidney cancer (MDR1). Invasive bladder cancer is an aggressive disease, with different behaviour upon its tumoral stage, and also within the same tumoral stage, therefore molecular markers are sought. This study shows a new molecular marker, which has shown as a predictor for bad prognosis cancers, therefore, allowing us for a better patient selection for aggressive therapies. OBJECTIVE: To investigate the prognostic value of steroid and xenobiotic receptor (SXR) and multidrug resistance 1 (MDR1) gene expression in relation to survival among patients with invasive bladder cancer. PATIENTS AND METHODS: The prospective study included 67 patients diagnosed with invasive bladder cancer and treated with radical cystectomy at one of two institutions. SXR and MDR1 gene expression was assessed by real-time quantitative polymerase chain reaction (RT-PCR) in tumoral and normal tissue from frozen surgical specimens. RESULTS: Patients were followed for a mean of 29 months; 31 patients (46%) had progression. In univariate analysis, significant predictors of overall survival (OS) were pathological stage, lymph node (LN) status, histological grade, vascular-lymphatic invasion, and SXR expression. In multivariate analysis, independent predictors of OS were LN status (odds ratio [OR], 2.96; P=0.034), vascular-lymphatic invasion (OR, 2.50; P=0.029), and SXR expression (OR, 1.05, P=0.03). Among the 51 patients with negative LNs (pN0), univariate predictors of OS were SXR expression, MDR1 expression, and pathological stage. In multivariate analysis, SXR expression (OR, 1.06; P=0.01) and MDR1 expression (OR, 3.27; P=0.03) were independently associated with survival. Within the pN0 group, patients with SXR expression had shorter progression-free survival than did those without expression (P=0.004). This association persisted in the N0 subgroup with stage pT3-pT4 disease (P=0.028). However, in the pN1 group SXR expression did not have any influence. CONCLUSIONS: For patients with invasive bladder cancer, SXR expression has value as a predictor of survival independent of the standard pathological predictors. Its maximum importance appears to be in patients with stage pT3-pT4 pN0 disease.