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Background: Approximately 70% of bladder cancer is diagnosed as non-muscle invasive (NMIBC) and inflammation is known to impact the oncological outcomes. Adjuvant intravesical BCG in intermediate/high risk can lower recurrence and progression. The efficacy of intravesical BCG can be impacted by smoking effects on systemic inflammation., Methods: Our retrospective, multicenter study with data from 1.313 NMIBC patients aimed to assess the impact of smoking and the systemic inflammatory status on BCG response in T1G3 bladder cancer, using a machine-learning CART based algorithm., Results: In a median of 50-month follow-up (IQR 41-75), 344 patients experienced progression to muscle invasive or metastatic disease and 65 died due to bladder cancer. A CART algorithm has been employed to stratify patients in three prognostic clusters using smoking status, LMR (lymphocytes to monocytes ratio), NLR (neutrophil-to-lymphocyte ratio) and PLR (platelet-to-lymphocyte ratio) as variables. Cox regression models revealed a 1.5-fold (HR 1.66, 95%, CI 1.20-2.29, P=0.002) and three-fold (HR 2.99, 95% CI 2.08-4.30, P<0.001) risk of progression, in intermediate and high risk NMIBC respectively, compared to the low-risk group. The model's concordance index was 0.66., Conclusions: Our study provides an insight into the influence of smoking on inflammatory markers and BCG response in NMIBC patients. Our machine-learning approach provides clinicians a valuable tool for risk stratification, treatment, and decision-making. Future research in larger prospective cohorts is required for validating these findings.

Background: The aim of this study was to validate lymphovascular invasion (LVI) as a predictor of lymph-node invasion (LNI) in squamous cell carcinoma of the penis (SCCP)., Methods: Within the Surveillance, Epidemiology, and End Results database (2010-2020), we identified SCCP patients who underwent lymphadenectomy with known LVI status. Univariable logistic regression models (LRMs) addressed LNI. Harrell's concordance index (c-index) quantified accuracy after 2000 bootstrap resamples for internal validation. Multivariable LRMs included the most informative, statistically significant predictors. Subgroup analyses were repeated in organ-confined (T1b-T2) and non-organ confined (T3-T4) stages., Results: Of 586 SCCP patients, 219 (37%) had LVI. LVI was associated with higher rate of LNI (66 vs. 43%; P<0.001). Positive predictive value of LVI was 66 vs. 57% for negative predictive value. In multivariable LRMs, LVI independently predicted LNI (Odds ratio [OR]: 2.41; P<0.001). Bootstrap-adjusted c-index of multivariable model was 0.570 without LVI vs. 0.639 with LVI. In subgroup analyses, LVI independently predicted LNI in organ-confined (OR: 2.23; P<0.001) and in non-organ confined stages (OR: 3.10; P<0.001). In subgroup analyses, addition of LVI increased c-index from 0.530 to 0.595 in organ-confined and from 0.599 to 0.682 in non-organ confined., Conclusions: The current study validates LVI as an independent predictor of LNI in SCCP. LVI increases the accuracy of LNI predictions in the overall cohort as well as in organ-confined and non-organ confined stages. However, stage and grade even with the added consideration of LVI are not accurate enough to provide LNI prediction in individual patients.

Background: To date, five trials testing the effect of adjuvant systemic therapy in surgically treated non-metastatic renal cell carcinoma included patients with non-clear cell histology. We tested the effect of papillary vs. chromophobe histological subtype, stage, and grade on 10-year cancer-specific survival, in patients eligible for ≥1 such trial., Methods: We identified patients meeting ASSURE, SORCE, EVEREST, PROSPER, or RAMPART trial inclusion criteria in the SEER (2000-2018) database. Kaplan-Meier analyses estimated 10-year survival rates and multivariable Cox regression models tested for the independent predictor status of histological subtype, stage, and grade., Results: We identified 5465 (68%) papillary and 2562 (32%) chromophobe renal cell carcinoma patients. Cancer-specific survival rates at 10 years were 77% in papillary vs. 90% in chromophobe. In multivariable Cox regression models applied to papillary patients, cancer-specific mortality independent predictor status was reached for T3G3-4 (HR 2.9), T4Gany (HR 3.4), TanyN1G1-2 (HR 3.1), and TanyN1G3-4 (HR 8.0, P<0.001), relative to T1/2Gany. In multivariable Cox regression models applied to chromophobe patients, mortality independent predictor status was reached for T3G3-4 (HR 3.6), T4Gany (HR 14.0), TanyN1G1-2 (HR 5.7), and TanyN1G3-4 (HR 15.0, P<0.001), relative to T1/2Gany., Conclusions: In surgically treated non-metastatic intermediate/high-risk renal cell carcinoma patients, papillary histologic subtype exhibited worse cancer-specific survival than chromophobe histologic subtype. Although stage and grade represented independent predictors in both histological subtype groups, the magnitude of their effect was invariably worse in chromophobe than in papillary patients. In consequence, papillary and chromophobe patients should be considered separate entities instead of being combined under the non-clear cell designation.

Background: Recently, the European Association of Urology Guidelines Panel updated the prognostic factor risk groups model for non-muscle-invasive bladder cancer (NMIBC) with the introduction of a new group of patients at very high risk (VHR). Furthermore, three additional clinical risk factors (i.e., age>70 years, multiple papillary tumors; tumor diameter >3 cm) were proposed. However, the new scoring model was created by analyzing data from patients who did not receive BCG intravesical therapy., Methods: This is a retrospective multicenter study analyzing data of 920 patients with HGT1 NMIBC that underwent ReTUR e following BCG intravesical therapy. Patients were stratified into risk groups according to the 2021 new EAU NMIBC prognostic factor risk groups model. This study aimed to identify variables related to disease progression in a large cohort of HGT1 NMIBC patients who underwent both Re-TURB and BCG intravesical immunotherapy., Results: Median follow-up was 51 months (IQR 41-75), according to EAU NMIBC 2021 scoring model 179 (19.5%) patients were at VHR. Progression-free survival at 5 years was 68.2% and 59.9% for the whole sample and the VHR group, respectively. At multivariable regression model size >3 cm, multifocal tumor, concomitant CIS and LVI were identified as independently associated with disease progression., Conclusions: Although patients at VHR are more likely to experience disease progression during follow-up, the European Association of Urology (EAU) NMIBC 2021 scoring model appears to be suboptimal in patients who underwent ReTUR and intravesical BCG therapy.

Background: Identifying those of patients with metastatic renal cell carcinoma (mRCC) who are most likely to benefit from cytoreductive nephrectomy (CN) is challenging. We tested the association between preoperative value of Systemic Immune-Inflammation Index (SII) and overall survival (OS) as well as cancer-specific survival (CSS) in mRCC patients treated with CN., Methods: mRCC patients treated with CN at different institutions were included. After assessing for the optimal pretreatment SII cut‑off value, we found 710 to have the maximum Youden Index value. The overall population was therefore divided into two SII groups using this cut‑off (low, <710 vs. high, ≥710). Univariable and multivariable Cox regression analyses tested the association SII and OS as well as CSS. The discrimination of the model was evaluated with the Harrel's Concordance Index (C-Index). The clinical value of the SII was evaluated with decision curve analysis (DCA)., Results: Among 613 mRCC patients, 298 (49%) patients had a SII≥710. Median follow-up was 31 (IQR 16-58) months. On univariable analysis, high preoperative serum SII was significantly associated with worse OS (HR: 1.28, 95% CI: 1.07-1.54, P=0.01) and CSS (HR: 1.29, 95% CI: 1.08-1.55, P=0.01). On multivariable analysis, which adjusted for the effect of established clinicopathologic features, SII≥710 was associated with OS (HR: 1.25, 95% CI: 1.04-1.50, P=0.02) and CSS (HR: 1.26, 95% CI: 1.05-1.52, P=0.01). The addition of SII only slightly improved the discrimination of a base model that included established clinicopathologic features (C-index: 0.637 vs. 0.629). On DCA, the inclusion of SII did not improve the net-benefit of the prognostic model. On multivariable analyses, SII≥710 remained independently associated with the worse OS and CSS in IMDC intermediate risk group (both: HR: 1.31, 95% CI: 1.02-1.67, P=0.03). In the subgroup analyses based on the BMI, among patients with BMI ≥ 25, SII was significantly associated with OS (HR: 1.29, 95% CI: 1.04-1.61, P=0.02) and CSS (HR: 1.31, 95% CI: 1.05-1.63, P=0.02)., Conclusions: We found an independent association of high SII prior to CN with unfavorable clinical outcomes, particularly in patients with intermediate risk mRCC and patients with increased BMI. Despite these results, it does not seem to add any prognostic or clinical benefit beyond that obtained by currently available clinicopathologic characteristics as sole worker.

Background: To investigate the predictive and prognostic value of the preoperative modified Glasgow Prognostic Score (mGPS) in patients with urothelial carcinoma of the bladder (UCB) treated with radical cystectomy (RC)., Methods: We conducted a retrospective analysis of an established multicenter database consisting of 4335 patients who were treated with RC±adjuvant chemotherapy for UCB between 1979 and 2012. The mGPS of each patient was calculated on the basis of preoperative serum C-reactive protein and albumin. Uni- and multivariable logistic and Cox regression analyses were performed. The discriminatory ability of the models was assessed by calculating the area under receiver operating characteristics curves (AUC) and concordance-indices (C-Index). The additional clinical net-benefit was assessed using the decision curve analysis (DCA)., Results: A mGPS of 0, 1, and 2 was observed in 3,158 (72.8%), 1,020 (23.5%), and 157 (3.6%) patients, respectively. On multivariable logistic regression analyses, mGPS of 1 or 2 were associated with an increased risk of pT3/4 disease at RC (OR 1.25, P=0.004 and OR 2.58, SP<0.001, respectively) and/or lymph node metastasis (OR 1.7, P<0.001 and OR 3.9, P<0.001, respectively). Addition of the mGPS to a predictive model based on preoperatively available variables improved its accuracy for prediction of lymph node metastasis (change of AUC +3.7%, P<0.001). On multivariable Cox regression analyses, mGPS of 1 or 2 remained associated with worse recurrence-free survival (HR 1.14, P=0.03 and HR 1.89 P<0.001, respectively), cancer-specific survival (HR 1.16, P=0.032 and HR 2.1, P<0.001, respectively) and overall survival (HR 1.5, P=0.007 and HR 1.92 P<0.001, respectively) compared to mGPS of 0. The additional discriminatory ability of the mGPS for prognosis of survival outcomes in separate models that included either established pre- or postoperative variables did not improve the C-Index by a prognostically relevant degree (change of C-Index <2% for all models). On DCA, the inclusion of the mGPS did not meaningfully improve the net-benefit for clinical decision-making regarding survival outcomes., Conclusions: We confirmed that an elevated mGPS is an independent risk factor for non-organ confined disease and poor survival outcomes in patients with UCB undergoing RC. However, the mGPS showed little value in improving the discriminatory ability of predictive and prognostic models that relied on either pre- or postoperative clinicopathological variables. The discriminatory ability of this biomarker in the age of immunotherapy warrants further evaluation.

Background: We aimed to test the hypothesis that the immune-modulatory effect of statins may improve survival outcomes in patients with non-muscle invasive bladder cancer (NMIBC). We focused on a cohort of patients diagnosed with high risk NMIBC, that were treated with intravesical BCG immunotherapy., Methods: We included patients at first diagnosis of T1 high grade NMIBC after transurethral resection of bladder (TURB). All procedures were performed at 18 different tertiary institutions between January 2002 and December 2012. Univariable and multivariable models were used to test differences in terms of residual tumor, disease recurrence, disease progression and overall mortality (OM) rates., Results: Overall, 1510 patients with T1 high grade NMIBC at TURB were included in our analyses. Of these, 402 (26.6%) were statin users. At multivariable analysis, statin use was associated with a higher rate of high-grade BC at re-TURB (OR: 1.37, 95%CI: 1.04-1.78; P=0.022), while at follow-up it was not independently associated with OM (HR: 0.71, 95%CI: 0.50-1.03; P=0.068) and disease progression rates (HR: 0.97, 95%CI: 0.79-1.19; P=0.753). Conversely, statin use has been shown to be independently associated with a lower risk of recurrence (HR:0.80, 95%CI: 0.67-0.95; P=0.009). The median recurrence-free survival was 47 (95%CI 40-49) months for those classified as non-statin users vs. 53 (95%CI 48-68) months in those classified as statin users., Conclusions: Statin daily intake do not compromise oncological outcomes in high risk NMIBC patients treated with BCG. Moreover, statin may have a beneficial effect on recurrence rates in this cohort of patients.

Molecular heterogeneity and availability of different therapeutic strategies are relevant clinical features of prostate cancer. On this basis, there is an urgent need to identify prognostic and predictive biomarkers for an individualized therapeutic approach. In this context, researchers focused their attention on biomarkers able to discriminate potential life-threatening from organ-confined disease. Such biomarker could provide aid in clinical decision making, helping to choose the treatment which ensures the best results in terms of patient survival and quality of life. To address this need, many new laboratory tests have been proposed, with a clear tendency to use panels of combined biomarkers. In this review we evaluate current data on the application in clinical practice of the most promising laboratory tests: Phi, 4K score and Stockholm 3 as circulating biomarkers, Mi-prostate score, Exo DX Prostate and Select MD-X as urinary biomarkers, Confirm MDx, Oncotype Dx, Prolaris and Decipher as tissue biomarkers. In particular, the ability of these tests in the identification of clinically significant PCa and their potential use for precision medicine have been explored in this review.