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Published on: February 28, 2014
The Significance of Circulating Basophils as Predictors of Tumor Aggressiveness in Clear-Cell Renal Cell Carcinoma
Burak Arslan1, Hakan Ceylan1, Oguzhan Cura1
1Department of Urology, University of Health Sciences Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey.
Aim:
Our aim was to investigate the value of basophils in predicting tumor aggressiveness in clear-cell renal cell carcinoma (ccRCC).
Methods:
Baseline characteristics of 183 patients were recorded. Receiver operating characteristic (ROC) curve analysis was performed to calculate the cut-off value for basophil count in predicting the presence of perirenal and/or renal sinus fat involvement, as well as a high-grade WHO/ISUP score. Regression analyses were performed to determine the independent risk factors for perirenal/renal sinus fat invasion and a high-grade WHO/ISUP score.
Results:
The ROC curve analysis showed that the cut-off value of basophil count was 0.045 for the presence of a high-grade WHO/ISUP score (AUC = 0.769) and perirenal and/or renal sinus fat involvement (AUC = 0.731). Tumor size (p = 0.013), high WHO/ISUP grade (p = 0.036), LVI (p = 0.028), perirenal/renal sinus fat involvement (p = 0.043), and advanced (3-4) TNM stage (0.012) were significantly higher in patients with basophil count ≥ 0.045. In multivariate analysis, tumor size (OR = 1.10), LVI (OR = 3.35), and preoperative basophil count ≥ 0.045 (OR = 3.65) were found to be independent predictors for the presence of a high-grade WHO/ISUP score. Similarly, tumor size (OR = 1.21), high WHO/ISUP grade (OR = 2.44), and preoperative basophil count ≥ 0.045 (OR = 1.96) were found to be independent predictors for the presence of perirenal and/or renal sinus fat involvement in multivariate analysis.
Conclusion:
Our results demonstrated that preoperative basophil count emerges as a valuable predictor of tumor aggressiveness in ccRCC, offering a readily accessible biomarker to aid in the management of this malignancy.
