Boorjian, Stephen A.

T1 bladder cancer constitutes approximately 25% of incident bladder cancers, and as such carries an important public health impact. Notably, it has a heterogeneous natural history, with large variation in reported oncologic outcomes. Optimal risk-stratification is essential to individualize patient management, targeting those at greatest risk of progression for aggressive therapies such as early cystectomy, while allowing others to safely pursue bladder-preserving approaches including intravesical bacillus Calmette-Guerrin (BCG). Current strategies for diagnosis, risk-stratification, and treatment are imperfect, but emerging technologies and molecular approaches represent exciting opportunities to advance clinical paradigms in management of this disease entity.

Objectives To evaluate the ability of clinical and radiographic features to predict lymph node (pN1) disease among patients with renal cell carcinoma undergoing radical nephrectomy (RN), and to develop a preoperative risk prediction model. Patients and Methods In all, 220 patients with preoperative computed tomography scans available for review underwent RN with lymph node dissection (LND) from 2000 to 2010. Radiographic features were assessed by one genitourinary radiologist blinded to pN status. Associations of features with pN1 disease were evaluated using logistic regression to develop predictive models. Model performance was assessed using area under the receiver operating characteristic curve (AUC) and decision curve analysis. Results The median (interquartile range) lymph node yield was 10 (5–18). In all, 55 patients (25%) had pN1 disease at RN. On univariable analysis, the maximum lymph node (LN) short axis diameter [odds ratio (OR) 1.17; P < 0.001] predicted pN1 disease with an AUC of 0.84. Although several clinical and radiographic features were associated with pN1 disease, only two were retained in the multivariable model: maximum LN short axis diameter (OR 1.19; P <0.001) and radiographic perinephric/sinus fat invasion (OR 44.64; P = 0.01), with an AUC of 0.85. On decision curve analysis, the single variable and multivariable models showed similar net benefit. Conclusion Two radiographic features, maximum LN short axis diameter and perinephric/sinus fat invasion, outperformed traditional clinical variables in predicting pN1 disease. Maximum LN short axis diameter alone showed excellent predictive performance, and, if validated externally, would provide for a simple model to guide patient selection for LND.

Purpose The appropriate duration of surveillance for renal cell carcinoma (RCC) after radical or partial nephrectomy remains unknown, and evidence to support current guidelines are lacking. Herein, we provide an approach to surveillance that balances the risk of recurrence versus the risk of non-RCC death. Patients and Methods We identified 2,511 patients who underwent surgery for M0 RCC between 1990 and 2008. Patients were stratified for analysis by pathologic stage (pT1Nx-0, pT2Nx-0, pT3/4Nx-0, and pTanyN1), relapse location (abdomen, chest, bone, and other), age (< 50, 50 to 59, 60 to 69, 70-79 and ≥ 80 years), and Charlson comorbidity index (CCI; ≤ 1 and ≥ 2). Risks of disease recurrence and non-RCC death were estimated by using parametric models for time-to-failure with Weibull distributions. Surveillance duration was estimated at the point when the risk of non-RCC death exceeded the risk of recurrence. Results At a median follow-up of 9.0 years (interquartile range, 6.4 to 12.7 years), a total of 676 patients developed recurrence. By using a competing-risk model, vastly different surveillance durations were appreciated. Specifically, among patients with pT1Nx-0 disease and a CCI ≤ 1, risk of non-RCC death exceeded that of abdominal recurrence risk at 6 months in patients age 80 years and older but failed to do so for greater than 20 years in patients younger than age 50 years. For patients with pT1Nx-0 disease but a CCI ≥ 2, the risk of non-RCC death exceeded that of abdominal recurrence risk already at 30 days after surgery, regardless of patient age. Conclusion We present an individualized approach to RCC surveillance that bases the duration of follow-up on the interplay between competing risk factors of recurrence and non-RCC death. This strategy may improve the balance between the derived benefit from surveillance and medical resource allocation.

Objective To evaluate the incidence, predictors and oncological outcomes of pT 0 prostate cancer ( PC a). Methods We conducted a retrospective analysis of 20 222 patients undergoing radical prostatectomy ( RP ) for PC a at the Mayo Clinic between 1987 and 2012. Disease recurrence was defined as follow‐up PSA >0.4 ng/mL or biopsy‐proven local recurrence. Systemic progression was defined as development of metastatic disease on imaging. Comparisons of baseline characteristics between pT 0 and non‐ pT 0 groups were carried out using chi‐squared tests. Recurrence‐free survival was estimated using the Kaplan–Meier method and compared using the log‐rank test. Results A total of 62 patients (0.3%) had pT 0 disease according to the RP specimen. In univariable analysis, pT 0 disease was significantly associated with older age ( P = 0.045), lower prostate‐specific antigen ( PSA ; P = 0.002), lower clinical stage ( P < 0.001), lower biopsy Gleason score ( P = 0.042), and receipt of preoperative transurethral resection, hormonal and radiation therapies (all P < 0.001). In multivariable analysis, lower PSA levels, lower Gleason score, and receipt of preoperative treatment were independently associated with pT 0 (all P < 0.05). Seven patients (11%) with pT 0 PC a developed disease recurrence over a median follow‐up of 10.9 years. All seven patients had preoperative treatment(s) and three had recurrence with a PSA doubling time of <9 months. Compared with non‐ pT 0 disease, pT 0 disease was associated with longer recurrence‐free survival ( P < 0.05). Only one (1.6%) patient with pT 0 disease developed systemic progression. Conclusions pT 0 stage PC a is a rare phenomenon and is associated with receipt of preoperative treatment and features of low‐risk PC a. Although pT 0 has a very favourable prognosis, some men, especially those who received preoperative treatment, experience a small but non‐negligible risk of disease recurrence and systemic progression.

Objective To evaluate the outcome of patients after surgical resection of isolated retroperitoneal lymph node ( RPLN ) recurrence of renal cell carcinoma ( RCC ) using a multicentre international cohort. Patients and Methods In all, 50 patients were identified who underwent resection of isolated RPLN recurrence of RCC at four institutions after nephrectomy for pT any N any M0 disease. Progression‐free ( PFS ) and cancer‐specific survival ( CSS ) were estimated using the Kaplan–Meier method. Cox proportional hazards regression models were used to assess the association of clinicopathological characteristics with disease progression. Results The median (interquartile range, IQR ) age at resection was 57.0 (50.0–62.5) years. The median ( IQR ) time to RPLN recurrence after nephrectomy was 12.6 (6.9–39.5) months, with no significant difference in median time to RPLN recurrence between patients with N+ disease at nephrectomy (10.7 [6.5–24.6] months) and those with Nx/pN0 disease at nephrectomy (13.7 [8.7–44.2] months) ( P = 0.66). The median ( IQR ) size of the RPLN recurrence before resection was 2.6 (1.9–5) cm. The most common site for RPLN recurrence was within the interaortocaval region (34%). The median ( IQR ) follow‐up after RPLN resection for patients alive at last follow‐up was 28.0 (13.7–51.2) months. During follow‐up, 26 patients developed RCC recurrence, at a median ( IQR ) of 9.9 (4.0–18.5) months after RPLN resection. Of those who developed a secondary recurrence, disease was again isolated to the retroperitoneum in seven patients. In all, 11 patients subsequently died, including 10 who died from disease. The median PFS after RPLN resection was 19.5 months, with a 3‐ and 5‐year PFS of 40.5% and 35.4%, respectively. We also found that RPLN recurrence at ≤12 months after nephrectomy was associated with a significantly inferior median PFS (12.3 months) compared with RPLN recurrence at >12 months after nephrectomy (47.6 months; P = 0.003). Moreover, on multivariate analysis, a shorter time to recurrence remained associated with a significantly increased risk for subsequent disease progression (hazard ratio 3.51; P = 0.005). Conclusion Surgical resection of isolated RPLN recurrence from RCC may result in durable cancer control in appropriately selected patients. Recurrence at ≤12 months after nephrectomy was associated with a significantly increased risk of progression after resection, underscoring the importance of this variable for risk stratification. Thus, we recommend that, in the setting of isolated RPLN recurrence of RCC (in patients without precluding comorbidities), careful consideration with the patients and medical oncology colleagues be undertaken about the relative and individualised benefits of surgical resection, systemic therapy, and surveillance.

ObjectivesTo evaluate the differences in estimated glomerular filtration rate decline by urinary diversion type (incontinent diversion vs continent diversion) and preoperative estimated glomerular filtration rate among patients undergoing radical cystectomy and urinary diversion.MethodsWe evaluated 1383 patients treated with radical cystectomy between 1980–2006 who had a preoperative estimated glomerular filtration rate of 45‐89 mL/min/1.73 m2. Estimated glomerular filtration rate was estimated using Chronic Kidney Disease Epidemiology Collaboration equations, and patients were stratified by preoperative estimated glomerular filtration rate into chronic kidney disease 2 (estimated glomerular filtration rate 60–89 mL/min/1.73 m2) and chronic kidney disease 3a (estimated glomerular filtration rate 45–59 mL/min/1.73 m2). Multiple definitions of estimated glomerular filtration rate decline were evaluated: (i) 10‐point decline in estimated glomerular filtration rate; (ii) 20% decline in estimated glomerular filtration rate; and (iii) 10% decline in estimated glomerular filtration rate. Time to estimated glomerular filtration rate decline was compared using the Kaplan–Meier method stratified by diversion type. Cox regression models were used to evaluate the association of diversion type with estimated glomerular filtration rate decline risk.ResultsIn total, 74% (1021/1383) of patients underwent incontinent diversion and 26% (362/1383) underwent continent diversion. Preoperative chronic kidney disease 2 and chronic kidney disease 3a were noted among 59% and 41% of patients who underwent incontinent diversion, versus 74% and 26% with continent diversion. Median follow up after RC was 11.2 years. The rate of estimated glomerular filtration rate decline in patients with incontinent diversion versus continent diversion was similar when stratified by preoperative chronic kidney disease 2 and preoperative chronic kidney disease 3a, regardless of estimated glomerular filtration rate decline definition. On multivariable analysis, continent diversion was not associated with estimated glomerular filtration rate decline for patients with preoperative chronic kidney disease 3a.ConclusionsThe risk of estimated glomerular filtration rate decline over 10 years was not significantly different after incontinent diversion versus continent diversion among patients with preoperative chronic kidney disease 2 or chronic kidney disease 3a. Continent diversion does not appear to confer an independently increased risk of estimated glomerular filtration rate decline in patients with preoperative chronic kidney disease 3a.