Impact of smoking exposure on disease progression in high risk and very high-risk nonmuscle invasive bladder cancer patients undergoing BCG therapy

Introduction: The nonmuscle invasive bladder cancer treated with BCG instillations in patients who smoke could potentially lead to poorer oncological results in the light of the new EAU risk groups classification for NMIBC that did not include BCG treated patients or smoking status. Patient and Methods: Outcomes from 1313 patients with nonmuscle invasive bladder cancer treated with TURBT, re-TURBT and BCG instillations at 13 academic hospital centers, since 2002, has been included in this retrospective study. The study variables, including cumulative smoking exposure have been analyzed. A multivariable Cox proportional hazard model was used to assess associations between smoking variables and disease progression and repeated in the EAU high risk and very high-risk group. The statistical significance threshold was set at 0.05, and the statistical analysis was performed using Stata/SE version 17 (StataCorp, College Station, TX, USA). Results: Cox regression analysis revealed in 1313 patients diagnosed with T1G3 NMIBC that patients with a history of heavy and long-term smoking faced a more than twofold increased risk of disease progression compared to nonsmoker patients (HR 2.35; 95% CI: 1.7-3.2; P < 0.01) and a significantly poorer PFS for patients with a history of heavy long-term smoke exposure (P < 0.01). Patients with heavy long-term smoking exposure according to the EAU21 high-risk group had a PFS comparable to very high-risk patients and high-risk patients with heavy long-term smoking exposure showed a higher risk of progression when compared to the high-risk group (HR 1.4; 95% CI: 1.3-1.6; P < 0.01). Conclusions: This study adds valuable information on the relationship between smoking and the progression of NMIBC and BCG therapy. The findings emphasize the need for healthcare providers to consider a patient's smoking history when managing NMIBC and express the need for individualized smoking cessation counseling and individualized treatment approach

Changes in renal function after nephroureterectomy for upper urinary tract carcinoma: analysis of a large multicenter cohort (Radical Nephroureterectomy Outcomes (RaNeO) Research Consortium)

Purpose To investigate prevalence and predictors of renal function variation in a multicenter cohort treated with radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC). Methods Patients from 17 tertiary centers were included. Renal function variation was evaluated at postoperative day (POD)-1, 6 and 12 months. Timepoints differences were Delta 1 = POD-1 eGFR - baseline eGFR; Delta 2 = 6 months eGFR - POD-1 eGFR; Delta 3 = 12 months eGFR - 6 months eGFR. We defined POD-1 acute kidney injury (AKI) as an increase in serum creatinine by >= 0.3 mg/dl or a 1.5 1.9-fold from baseline. Additionally, a cutoff of 60 ml/min in eGFR was considered to define renal function decline at 6 and 12 months. Logistic regression (LR) and linear mixed (LM) models were used to evaluate the association between clinical factors and eGFR decline and their interaction with follow-up. Results A total of 576 were included, of these 409(71.0%) and 403(70.0%) had an eGFR < 60 ml/min at 6 and 12 months, respectively, and 239(41.5%) developed POD-1 AKI. In multivariable LR analysis, age (Odds Ratio, OR 1.05, p < 0.001), male gender (OR 0.44, p = 0.003), POD-1 AKI (OR 2.88, p < 0.001) and preoperative eGFR < 60 ml/min (OR 7.58, p < 0.001) were predictors of renal function decline at 6 months. Age (OR 1.06, p < 0.001), coronary artery disease (OR 2.68, p = 0.007), POD-1 AKI (OR 1.83, p = 0.02), and preoperative eGFR < 60 ml/min (OR 7.80, p < 0.001) were predictors of renal function decline at 12 months. In LM models, age (p = 0.019), hydronephrosis (p < 0.001), POD-1 AKI (p < 0.001) and pT-stage (p = 0.001) influenced renal function variation (ss 9.2 +/- 0.7, p < 0.001) during follow-up. Conclusion Age, preoperative eGFR and POD-1 AKI are independent predictors of 6 and 12 months renal function decline after RNU for UTUC