Predictive and Prognostic Value of Preoperative Thrombocytosis in Upper Tract Urothelial Carcinoma.

PURPOSE: The purpose of this study was to evaluate the predictive and prognostic role of preoperative thrombocytosis (TC) in upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU) in a large multi-institutional cohort of patients.

METHODS: Records of 2492 patients undergoing RNU for non-metastatic UTUC between 1990 and 2008 were retrospectively analyzed. Preoperative TC was defined as a platelet count > 400 × 109 /L, irrespective of gender type. Logistic regression analyses were performed to evaluate its association with pathologic features. Cox proportional hazards regression was used for estimation of recurrence-free survival, cancer-specific survival, and overall survival.

RESULTS: Preoperative TC was found in 309 (12.4%) patients and was associated with advanced tumor stage and grade, lymph node metastasis, lymphovascular invasion, tumor architecture, necrosis, and concomitant carcinoma in situ (P-values ≤ .027). Preoperative TC independently predicted ≥ pT2 (P < .001), non-organ-confined (P < .001), and lymph node-positive (P < .001) disease in a preoperative model that adjusted for the effects of age, gender, location, multifocality, and tumor architecture. Within a median follow-up of 45 months, recurrence occurred in 663 (26.6%) patients with 545 (21.9%) dying of UTUC. In univariable Cox proportional hazard regression analysis, TC was significantly associated with recurrence-free survival (hazard ratio [HR], 1.32; P = .015) and overall survival (HR, 1.4; P < .001), but not cancer-specific survival (HR, 1.17; P = .2). In both pre- and postoperative multivariable models, when adjusted for the effects of standard clinicopathologic features, TC did not retain its association with survival outcomes.

CONCLUSIONS: Preoperative TC is associated with adverse clinicopathologic features and predicts worse pathology at RNU. Among other serum biomarkers, TC could benefit preoperative risk stratification and help guide treatment decisions.