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The Role of Thrombocyte/Lymphocyte Ratio and Aspartate Transaminase/Alanine Transaminase (De Ritis) Ratio in
Mustafa Asım Avcı1, Burak Arslan2, Oyku Arslan3
1Urology, Republic of Turkey Ministry of Health, Bayburt State Hospital, Bayburt, TUR.
Aim:
The purpose of the study was to determine the predictive value of platelet-to-lymphocyte ratio (PLR) and Aspartate transaminase (AST)/alanine transaminase (ALT) ratio (De Ritis ratio) for recurrence and progression in non-muscle-invasive bladder cancer (NMIBC).
Methods:
A total of 231 patients who underwent transurethral tumor resection between 2016 and 2022 were retrospectively analyzed. Preoperative test results, including AST, ALT, platelet, and lymphocyte counts, were used to calculate the PLR and De Ritis ratio. Univariate and multivariate analyses were performed to identify the predictive factors associated with recurrence and progression.
Results:
Based on the ROC curve, 1.19 and 1.21 were identified as the optimal cut-off values of the De Ritis ratio for recurrence and progression, respectively. Furthermore, PLR cut-off values for recurrence and progression were 114 and 118, respectively. There is a significant difference in recurrence-free survival (RFS) and progression-free survival (PFS) between the groups of patients with high and low De Ritis ratios (p = 0.028 and p = 0.021, respectively). In multivariate analysis, De Ritis ratio ≥ 1.19 and European Organization for Research and Treatment of Cancer (EORTC) high recurrence risk were determined to be significant predictors of tumor recurrence. Multivariate analysis also determined that T1 pathological stage, high tumor grade, European Organization for Research and Treatment of Cancer (EORTC) high progression risk, and De Ritis ratio ≥ 1.21 were risk factors for tumor progression.
Conclusion:
In our study, the preoperative De Ritis ratio represented an independent predictive factor for recurrence and progression in non-muscle invasive bladder cancer. The use of this biomarker in combination with other diagnostic/predictive tools might help urologists improve the clinical decision-making process in the future.
