Expression of Class III Beta-tubulin Predicts Prognosis in Patients with Cisplatin-resistant Bladder Cancer Receiving Paclitaxel-based Second-line Chemotherapy.

BACKGROUND/AIM: Class III beta-tubulin (TUBB3) expression is recognized as a predictive marker for chemosensitivity to cisplatin- and taxane-based chemotherapies in various malignancies. The aim of this study was to clarify the predictive value of TUBB3 expression for the anticancer effects of first-line cisplatin-based chemotherapy and second-line paclitaxel-based chemotherapy in patients with urothelial cancer (UC).

PATIENTS AND METHODS: We reviewed 116 patients with UC (90 with bladder cancer and 27 with upper urinary tract cancer) treated with first-line cisplatin-based chemotherapy. Among them, 42 patients received a paclitaxel-based regimen as second-line chemotherapy for advanced cisplatin-resistant UC. TUBB3 expression was evaluated using immunohistochemistry, and survival analyses were performed using Kaplan-Meier survival curves and multivariate Cox proportional hazard analysis.

RESULTS: TUBB3 was mainly detected in the cytoplasm of cancer cells, and 64 patients (55.2%) were judged as having positive TUBB3 expression. TUBB3 expression was significantly associated with tumour grade (p<0.001). TUBB3 expression was not associated with time to progression after first-line cisplatin-based chemotherapy. However, positive expression of TUBB3 was significantly associated with unfavourable overall survival in patients receiving second-line paclitaxel-based chemotherapy (p=0.021). In addition, a multivariate analysis model including T-stage and metastasis at the beginning of second-line therapy and regimen showed that TUBB3 expression was an independent predictor of poorer survival (hazard ratio(HR)=3.44, 95% confidential interval(CI)=1.15-10.33, p=0.027).

CONCLUSION: TUBB3 expression was identified as a useful predictive factor for survival after second-line paclitaxel-based therapy in patients with cisplatin-resistant UC. Our results are useful for determining treatment strategies for such patients.