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Purpose: To determine the activity of pembrolizumab as neoadjuvant immunotherapy before radical cystectomy (RC) for muscle-invasive bladder carcinoma (MIBC) for which standard cisplatin-based chemotherapy is poorly used., Patients and Methods: In the PURE-01 study, patients had a predominant urothelial carcinoma histology and clinical (c)T≤3bN0 stage tumor. They received three cycles of pembrolizumab 200 mg every 3 weeks before RC. The primary end point in the intention-to-treat population was pathologic complete response (pT0). Biomarker analyses included programmed death-ligand 1 (PD-L1) expression using the combined positive score (CPS; Dako 22C3 pharmDx assay), genomic sequencing (FoundationONE assay), and an immune gene expression assay., Results: Fifty patients were enrolled from February 2017 to March 2018. Twenty-seven patients (54%) had cT3 tumor, 21 (42%) cT2 tumor, and two (4%) cT2-3N1 tumor. One patient (2%) experienced a grade 3 transaminase increase and discontinued pembrolizumab. All patients underwent RC; there were 21 patients with pT0 (42%; 95% CI, 28.2% to 56.8%). As a secondary end point, downstaging to pT<2 was achieved in 27 patients (54%; 95% CI, 39.3% to 68.2%). In 54.3% of patients with PD-L1 CPS ≥ 10% (n = 35), RC indicated pT0, whereas RC indicated pT0 in only 13.3% of those with CPS < 10% (n = 15). A significant nonlinear association between tumor mutation burden (TMB) and pT0 was observed, with a cutoff at 15 mutations/Mb. Expression of several genes in pretherapy lesions was significantly different between pT0 and non-pT0 cohorts. Significant post-therapy changes in the TMB and evidence of adaptive mechanisms of immune resistance were observed in residual tumors., Conclusion: Neoadjuvant pembrolizumab resulted in 42% of patients with pT0 and was safely administered in patients with MIBC. This study indicates that pembrolizumab could be a worthwhile neoadjuvant therapy for the treatment of MIBC when limited to patients with PD-L1-positive or high-TMB tumors.

Purpose Despite documented oncologic benefit, use of postoperative adjuvant radiotherapy (aRT) in patients with prostate cancer is still limited in the United States. We aimed to develop and internally validate a risk-stratification tool incorporating the Decipher score, along with routinely available clinicopathologic features, to identify patients who would benefit the most from aRT. Patient and Methods Our cohort included 512 patients with prostate cancer treated with radical prostatectomy at one of four US academic centers between 1990 and 2010. All patients had ≥ pT3a disease, positive surgical margins, and/or pathologic lymph node invasion. Multivariable Cox regression analysis tested the relationship between available predictors (including Decipher score) and clinical recurrence (CR), which were then used to develop a novel risk-stratification tool. Our study adhered to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for development of prognostic models. Results Overall, 21.9% of patients received aRT. Median follow-up in censored patients was 8.3 years. The 10-year CR rate was 4.9% vs. 17.4% in patients treated with aRT versus initial observation ( P < .001). Pathologic T3b/T4 stage, Gleason score 8-10, lymph node invasion, and Decipher score > 0.6 were independent predictors of CR (all P < .01). The cumulative number of risk factors was 0, 1, 2, and 3 to 4 in 46.5%, 28.9%, 17.2%, and 7.4% of patients, respectively. aRT was associated with decreased CR rate in patients with two or more risk factors (10-year CR rate 10.1% in aRT v 42.1% in initial observation; P = .012), but not in those with fewer than two risk factors ( P = .18). Conclusion Using the new model to indicate aRT might reduce overtreatment, decrease unnecessary adverse effects, and reduce risk of CR in the subset of patients (approximately 25% of all patients with aggressive pathologic disease in our cohort) who benefit from this therapy.

Purpose: Unfavorable prostate cancer (PCa) disease at final pathology affects at least 10 % of D'Amico low-risk patients. Thus, conservative therapies including active surveillance may be wrongfully applied. The purposes were to assess the rate of upstaging in a contemporary cohort of D'Amico low-risk PCa patients and to develop and externally validate a nomogram as upstaging prediction tool in two European cohorts., Methods: Analyses were restricted to 2007 patients who harbored low-risk PCa at ≥10-cores initial biopsy according to D'Amico classification (PSA <10.0 ng/ml, Gleason score <7 and clinical stage ≤T2a). Patients underwent radical prostatectomy at a high-volume center in Hamburg, Germany, from 2010 to 2015. The Hamburg cohort was randomly divided into development (n = 1338) and validation cohorts (n = 669). The development cohort was used to devise a nomogram predicting upstaging, defined as presence of ≥pT3 and/or lymph node invasion. The nomogram was externally validated in two European validation cohorts (Hamburg, n = 669; Milan, n = 465)., Results: Upstaging was observed in 187/1338 (14.0 %) of low-risk patients. In multivariable models, four of ten tested variables achieved independent predictor status: age (OR 1.07, 95 % CI 1.04-1.09), PSA (OR 1.21, 95 % CI 1.12-1.31), prostate volume (OR 0.97, 95 % CI 0.96-0.98) and percentage of positive cores (OR 1.02, 95 % CI 1.01-1.03). In external validation, the nomogram demonstrated 70.8 % (Hamburg) and 70.0 % (Milan) accuracy, respectively, with excellent concordance between predicted and observed values., Conclusions: Our proposed nomogram is capable to accurately identify D'Amico low-risk patients at risk of upstaging, utilizing four routinely available clinical variables, age, PSA, prostate volume and percentage of positive biopsy cores. Unfavorable prostate cancer disease at final pathology affects at least 10 % of D'Amico low-risk patients. Thus, we developed and externally validated a new nomogram based on contemporary low-risk prostate cancer patients to accurately identify D'Amico low-risk patients at risk of upstaging. It utilizes four routine variables, age, PSA, prostate volume and percentage of positive biopsy cores.

Purpose: The role of adjuvant radiotherapy (aRT) in treating patients with pN1 prostate cancer is controversial. We tested the hypothesis that the impact of aRT on cancer-specific mortality (CSM) in these individuals is related to tumor characteristics., Methods: We evaluated 1,107 patients with pN1 prostate cancer treated with radical prostatectomy and anatomically extended pelvic lymph node dissection between 1988 and 2010 at two tertiary care centers. All patients received adjuvant hormonal therapy with or without aRT. Regression tree analysis stratified patients into risk groups on the basis of their tumor characteristics and the corresponding CSM rate. Cox regression analysis tested the relationship between aRT and CSM rate, as well as overall mortality (OM) rate in each risk group separately., Results: Overall, 35% of patients received aRT. At multivariable analysis, aRT was associated with more favorable CSM rate (hazard ratio [HR], 0.37; P < .001). However, when patients were stratified into risk groups, only two groups of men benefited from aRT: (1) patients with positive lymph node (PLN) count ≤ 2, Gleason score 7 to 10, pT3b/pT4 stage, or positive surgical margins (HR, 0.30; P = .002); and (2) patients with PLN count of 3 to 4 (HR, 0.21; P = .02), regardless of other tumor characteristics. These results were confirmed when OM was examined as an end point., Conclusion: The beneficial impact of aRT on survival in patients with pN1 prostate cancer is highly influenced by tumor characteristics. Men with low-volume nodal disease (≤ two PLNs) in the presence of intermediate- to high-grade, non-specimen-confined disease and those with intermediate-volume nodal disease (three to four PLNs) represent the ideal candidates for aRT after surgery., (© 2014 by American Society of Clinical Oncology.)