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NEUTROPHIL TO LYMPHOCYTE RATIO: A TESTICULAR CANCER DIAGNOSTIC TOOL

Jose Luis Bauza Quetglas,Antonio Tienza Fernández, Riccardo Bertolo, Arnau Sabaté Arroyo,Jorge Guimerà García, Valenti Tubau Vidanya,Enrique Pieras Ayala

Annals of mediterranean surgery(2020)

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摘要
Introduction & objective: Neutrophil to lymphocyte ratio (NLR) has been recently involved in multiple steps of cancer development, including its progression and prognosis. Our primary objective was to evaluate the NLR’s potential diagnostic value in testicular cancer. Our secondary objectives were to describe its role in pre-orchiectomy staging and to set an optimal diagnostic cut-off value for our testicular cancer cohort. Materials & methods: We retrospectively reviewed 80 testicular cancer patients between January 2005 and December 2015. Age, histopathological features and NLR were recorded. The other 86 men were included in the study as a control group, and their NLR was calculated. Data were analyzed by means comparison, Pearson correlation coefficient, and ROC curve analysis. Sensibility and 1- specificity tables according to the minimum description length principle method was used to identify the optimal NLR cut-off value for testicular cancer diagnosis. Results: Testicular cancer patient's mean age was 33.75 (19-51) years and the control group's mean age was 33.15 (20-50) years. NLR was found significantly higher in the testicular cancer group (2.62 ± 1.56 vs. 1.37 ± 0.53; p<0.001). No correlation was observed between NLR and pre-orchiectomy AFP, hCG, and LDH (r-value: 0.08, 0.06 and 0.09, respectively). NLR was higher in patients with a stage ³ I (3.3 ± 1.39 vs. 2.28 ± 1.55; p= 0.014). The best NLR cut-off value for testicular cancer diagnosis was: 2.2 (sensibility: 76%, specificity: 70%, area under the curve: 0.802) Conclusions: The NLR could be a useful tool in the testicular cancer diagnosis because it is higher in the testicular cancer group and patients with higher stages of the disease. The NLR’s optimal diagnostic cut-off value for our cohort is 2.2.
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