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  • Title: Proliferative status is a risk index for recurrence in primary superficial (pTa/T1) low-grade urothelial bladder carcinoma.
    Author: Su JS, Arima K, Hasegawa M, Franco OE, Yanagawa M, Sugimura Y, Kawamura J.
    Journal: Hinyokika Kiyo; 2003 Nov; 49(11):649-58. PubMed ID: 14719452.
    Abstract:
    The current clinicopathologic study for evaluation of superficial bladder cancer still has limitations in predicting the true behavior of recurrence. To determine the high-risk recurrence factors, we studied the influence of Ki-67, c-erbB-2, p53 and multidrug resistance-associated protein (MRP) expression. Samples were obtained from 33 pTa and 46pT1 diagnosed bladder cancer patients with a mean follow-up of 48.7 +/- 30.6 months. The contingency table method, Kaplan-Meier curve and multivariate analysis were used to evaluate the association among the immunohistochemical factors expression, clinicopathologic parameters with tumor recurrence. Stage pT1 tumors, sessile tumors and large tumors (> 3 cm) showed a significantly high recurrence rate (p = 0.0158, p = 0.0162, p = 0.0001 respectively). Tumors with overexpression of Ki-67, c-erbB-2 and p53 were more likely to recur (p = 0.0035, p = 0.0027, p = 0.0076 respectively), MRP expression was not associated with recurrence. Multivariate analysis showed that large tumors and high Ki-67 expression were independent indicators of recurrence. On the other hand, in tumors less than 1 cm, recurrence was significantly correlated with overexpression of Ki-67 and p53. High Ki-67 expression could discriminate higher recurrence cases in grade 2, pT1 and single tumors. The c-erbB-2 overexpression was more frequently associated with recurrence in sessile tumors, large tumors, multiple and grade 1 tumors. The p53 overexpression also predicted a higher risk of recurrence in pTa tumors. These data demonstrated that the use of proliferative related proteins yields significant prognostic information in addition to clinicopathological factors, high Ki-67 expression is a reliable indicator of recurrence. A combination rather than any factor alone could more accurately predict tumor recurrence.
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