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Published on: May 12, 2019
Prognostic Value of NLR, PLR, SII, and dNLR in Urothelial Bladder Cancer Following Radical Cystectomy
Abolfazl Salari1, Mohammadreza Ghahari1, Masoud Bitaraf1
1Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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.
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