Evaluation of direct intramural injection to the bladder wall as a method for developing orthotopic tumor models

Prognostic Value of NLR, PLR, SII, and dNLR in Urothelial Bladder Cancer Following Radical Cystectomy

BACKGROUND

Inflammation plays a crucial role in tumor development and progression, with inflammatory markers showing promise in predicting cancer prognosis. However, their significance in muscle-invasive bladder cancer (MIBC), especially in the context of neoadjuvant chemotherapy (NAC), remains poorly understood. This study aims to evaluate the prognostic utility of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and derived neutrophil-to-lymphocyte ratio (dNLR) for overall survival (OS) in bladder cancer (BC) patients undergoing radical cystectomy (RC) in the NAC era.

PATIENTS AND METHODS

A retrospective review analyzed prospectively-collected data from our institutional BC registry, covering patients with MIBC undergoing RC with curative intent from March 1st, 2016, to December 31st, 2022. Blood samples were collected preoperatively to calculate NLR, PLR, SII, and dNLR. OS was defined from surgery to last follow-up or death. Statistical analyses included ROC curves, Kaplan-Meier Curves, and Cox proportional hazards regression models.

RESULTS

A total of 187 patients with median duration follow-up of 14.7 month were included in this study and 50.8% experienced death. NAC was administered in 50.3% of cases. The ideal cut-off for dichotomizing NLR, PLR, SII, and dNLR was 1.76, 104.30, 410.66, and 1.30, respectively. In multivariable analysis each of these biomarkers emerged as an independent prognostic factor for predicting OS. The results showed a correlation between higher NLR, PLR, SII, and dNLR levels and a deterioration in OS.

CONCLUSION

Elevated values of these inflammatory markers indicate poorer survival, highlighting their potential as indicators of disease aggressiveness. Identifying patients with elevated markers can help healthcare providers personalize treatment strategies, improving patient outcomes and survival rates.

Preclinical models of bladder cancer: BBN and beyond

Preclinical modelling is a crucial component of advancing the understanding of cancer biology and therapeutic development. Several models exist for understanding the pathobiology of bladder cancer and evaluating therapeutics. N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN)-induced bladder cancer is a commonly used model that recapitulates many of the features of human disease. Particularly in mice, BBN is a preferred laboratory model owing to a high level of reproducibility, high genetic fidelity to the human condition, and its relative ease of use. However, important aspects of the model are often overlooked in laboratory studies. Moreover, the advent of new models has yielded a variety of methodologies that complement the use of BBN. Toxicokinetics, histopathology, molecular genetics and sex can differ between available models and are important factors to consider in bladder cancer modelling.

Simple procedure for assessing diffuse subarachnoid hemorrhage successfully created using filament perforation method in mice

The murine model of subarachnoid hemorrhage (SAH) is a valuable experimental tool for investigating molecular and cellular mechanisms, and the endovascular filament perforation technique can be used to simulate prominent pathophysiological features observed after human SAH; however, current validation methods for assessing an appropriate SAH model are limited. Here, we introduce a simple procedure for selecting a mouse model of diffuse SAH. SAH was induced in 24 mice using a standard filament perforation method. After confirming survival at 24 h, SAH was scored 0-1 based on T2*-weighted images on whole-brain magnetic resonance imaging (MRI) and visual surveillance of the cisterna magna (CM) through the dura mater. The CM-based SAH grading correlated well with a reference parameter defined by extracted brain (r2 = 0.53, p < 0.0001). The receiver operating characteristic curve revealed a sensitivity of 85% and a specificity of 91% for detecting diffuse SAH, with a similar area under the curve (0.89 ± 0.06 [standard error of the mean]) as the MRI-based grading (0.72 ± 0.10, p = 0.12). Our data suggest that confirming an SAH clot in the CM is a valuable way to select a clinically relevant diffuse SAH model that can be used in future experimental studies.