Affiliation:
1. Department of Urology, All India Institute of Medical Sciences, New Delhi, India
2. Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
Abstract
ABSTRACT
Introduction:
The blood-based inflammatory marker, neutrophil-to-lymphocyte ratio (NLR), is a reliable prognostic biomarker for several cancers. Although the literature supports the correlation between preoperative NLR, clinicopathological characteristics, and oncological outcomes in upper tract urothelial carcinoma (UTUC), the cutoff of NLR is still debated. This study aimed to determine the prognostic value of NLR in patients with UTUC.
Methods:
This was a retrospective analysis of prospectively collected data from July 2012 to December 2022 evaluating patients with UTUC who underwent radical nephroureterectomy (RNU). NLR was calculated using the neutrophil and lymphocyte counts obtained a day before the surgery and the cutoff value was set as 2.5. Kaplan–Meier and Cox’s proportional hazards regression were used to analyze the association between NLR and the oncological outcomes.
Results:
The study included 91 patients (78 males, 13 females) in the final analysis with a median follow-up of 49 months (8–130). The mean age of the patients with NLR <2.5 and NLR ≥2.5 was 56.88 years and 56.35 years, respectively, and the pathological stage was pT1 in 48%, pT2 in 20.88%, pT3 in 27.47%, and pT4 in 3.30% of the patients. Multivariable Cox regression analysis showed that the preoperative NLR ≥2.5 was significantly associated (Hz = 7.17) with higher T stage, lymphovascular invasion, necrosis, nodal involvement, adjuvant chemotherapy, and worse overall survival (OS) (Hz = 9.87). The Kaplan–Meier analysis revealed an improved OS in patients with NLR <2.5, but a statistically significant difference in the recurrence-free survival was not found.
Conclusions:
Preoperative NLR is an easily available, inexpensive, and important prognostic biomarker of survival in patients with UTUC and has a potential role in risk stratification by predicting adverse clinicopathological characteristics.
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1. What’s inside;Indian Journal of Urology;2024-07