Karnes, R. Jeffrey

106 Background: Some patients with lymph node metastases experience prolonged survival following radical prostatectomy. The purpose of this study was to determine the outcome of patients with clinically suspicious lymph nodes on preoperative imaging who underwent radical prostatectomy and lymphadenectomy. Methods: Patients with lymph node metastases diagnosed during radical prostatectomy from 1988-2003 were reviewed. Patients with preoperative CT or MRI images were included in the study. Radiology reports were reviewed to determine if patients had clinically suspicious lymphadenopathy (cN+). For all analyses, patients with cN+ were compared to those with clinically negative nodes (cN−). Results: Preoperative imaging was available in 202 men with lymph node metastasis at the time of prostatectomy. Of these 17% (34/202) were cN+. None had pre-operative lymph node biopsy and none had abandoned prostatectomy. At a median follow-up of 11.1 years, PSA recurrence occurred in 50% (17/34) and 49% (82/186), local recurrence in 18% (6/34) and 13% (22/186) and systemic progression in 32% (11/34) and 24% (40/186) of patients with cN+ and cN-, respectively. On multivariate analysis, cN+ was not associated with increased risk of death (HR 1.66, p=0.1). Conclusions: cN+ patients undergoing surgical therapy for prostate cancer may experience similar outcomes to cN− patients. The presence of clinically suspicious lymph nodes on preoperative imaging should not be an absolute contraindication for surgical therapy. No significant financial relationships to disclose.

175 Background: The efficient delivery of adjuvant and salvage therapy after radical prostatectomy in patients with prostate cancer is hampered by a lack of biomarkers to assess the risk of clinically significant recurrence and progression. Methods: Mayo Clinic Radical Prostatectomy Registry (RP) patient specimens were selected from a case-control cohort with 14 years median follow-up for training and initial validation of an expression biomarker genomic classifier (GC). An independent, blinded case-cohort study of high-risk RP subjects was used to validate GC, comparing the performance of GC to a multivariate logistic regression clinical model (CM) and GC combined with clinical variables (genomic-clinical classifier, GCC) for predicting clinical recurrence (defined as positive bone or CT scan within 5 years after biochemical recurrence). The concordance index (c-index) and Cox model were used to evaluate discrimination and estimate the risk of clinical recurrence. Results: In the training subset (n=359), both GC and GCC had a c-index of 0.90 whereas CM had a c-index of 0.76. In the internal validation set (n=186), GC and GCC had a c-index of 0.76 and 0.75, while CM had a c-index of 0.69. In an independent high-risk study (n=219), GC and GCC had a c-index of 0.77 and 0.76, while CM had a c-index of 0.68. In subset analysis of Gleason score 7 patients within the high-risk group, GC and GCC showed improved discrimination with c-index of 0.78 and 0.76, respectively compared to 0.70 for CM. In the high-risk group, the risk of recurrence by GC model score quartiles at 5 years after RP was estimated at 1%, 5%, 5% and 18%. Conclusions: The GC model shows improved performance over CM in the prediction of clinical recurrence in a high-risk cohort and in subset analysis of Gleason score 7 patients. The addition of clinical variables to the GC model did not significantly contribute to classifier performance in patients with high-risk features. We are further testing the performance of the GC and GCC models and their usefulness in guiding decision-making (e.g., for the adjuvant therapy setting) in additional studies of prostate cancer clinical risk groups.

137 Background: LUTS are one of the most common reasons patients visit urologists. These symptoms have not been typically associated with the development of prostate cancer (CaP). However, we hypothesized that visiting a physician for LUTS may modify the diagnostic intensity for CaP compared to population controls. Methods: We examined data from a longitudinal, population-based cohort of 2,447 men between 40 and 79 years old who were followed prospectively from 1990 to 2010. Participants completed the American Urological Association Symptom Index (AUASI) every two years. Self-reported moderate/severe LUTS were defined as an AUASI score >7 (n=1627). Data including the treatment for LUTS (n=874), prostate biopsy (PBx), family history of CaP and diagnosis of CaP were obtained through self-report and review of medical records. Associations between self-reported LUTS, treatment for LUTS, and risk of PBx or CaP were estimated using multivariate Cox proportional hazard models. Results: An interaction was noted between age and LUTS and PBx and CaP diagnosis. In younger men, the diagnosis and treatment of LUTS was associated with increased risk of PBx (HR 2.39: 95% CI 1.83, 3.13) and CaP (HR 3.47: 95% CI 2.38, 5.07). Conversely in older men, treatment for LUTS was associated with a decreased risk of PBx and CaP (Table). Self reported LUTS was not significantly associated with CaP diagnosis in younger men and was protective in older men (Table). Conclusions: There is a differential effect of LUTS on prostate cancer testing and diagnosis when stratified by age. The reason for this difference is unclear, but appears to be due largely to diagnostic intensity rather than a true biologic association between LUTS and CaP. [Table: see text]

Objectives To identify which patients with macroscopic bladder‐infiltrating T4 prostate cancer ( PC a) might have favourable outcomes when treated with radical cystectomy ( RC ). Materials and Methods We evaluated 62 patients with cT 4cN0–1 cM0 PC a treated with RC and pelvic lymph node dissection between 1972 and 2011. In addition to descriptive statistics, the Kaplan–Meier method and log‐rank tests were used to depict survival rates. Univariate and multivariate Cox regression analysis tested the association between predictors and progression‐free, PC a‐specific and overall survival. Results Of the 62 patients, 19 (30.6%) did not have clinical progression during follow‐up, two (3.2%) had local recurrence, and 32 (51.6%) had haematogenous and nine (14.5%) combined pelvic and distant metastasis. Forty patients (64.5%) died, 34 (54.8%) from PC a and six (9.7%) from other causes. The median (range) survival time of the 19 patients who were metastasis‐free at last follow‐up was 86 (1–314) months, 8/19 patients had a follow‐up of >5 years, and five patients survived metastasis‐free for >15 years. Patients without seminal vesicle invasion ( SVI ) had the best outcomes, with an estimated 10‐year PC a‐specific survival of 75% compared with 24% for patients with SVI . Conclusion For cT 4 PC a RC can be an appropriate treatment for local control and part of a multimodality‐treatment approach. Although recurrences are probable, these do not necessarily translate into cancer‐specific death. Men without SVI had a 75% 10‐year PC a‐specific survival. Although outcomes for patients with SVI are not as favourable, there can be good local control; however, these patients are at higher risk of progression and may need more aggressive systemic treatment.

Objectives To determine the prognostic potential of a 24‐gene signature, Sig24, for identifying patients with prostate cancer who are at risk of developing metastases or of prostate cancer‐specific mortality (PCSM) after radical prostatectomy (RP). Patients and Methods Sig24 scores were calculated from previously collected gene expression microarray data from the Cleveland Clinic and Mayo Clinic (I and II). The performance of Sig24 was determined using time‐dependent c‐index analysis, Cox proportional hazards regression and Kaplan–Meier survival analysis. Results Higher Sig24 scores were significantly associated with higher pathological Gleason scores in all three cohorts. Analysis of the Mayo Clinic II cohort, which included time‐to‐event information, indicated that patients with high Sig24 scores also had a higher risk of developing metastasis (hazard ratio [HR] 3.78, 95% confidence interval [CI]: 1.96–7.29; P < 0.001) or of PCSM (HR 6.54, 95% CI: 2.16–19.83; P < 0.001). Conclusions The findings of the present study show the applicability of Sig24 for the prognosis of metastasis or PCSM after RP. Future studies investigating the combination of Sig24 with available prognostic tests may provide new approaches to improve risk stratification for patients with prostate cancer.