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Multivariate analysis of survival, recurrence, progression and development of mestastasis in T1 and T2a transitional cell bladder carcinoma

✍ Scribed by Andrés Rodríguez-Alonso; Salvador Pita-Fernández; Joaquín González-Carreró; José Luis Nogueira-March

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
176 KB
Volume
94
Category
Article
ISSN
0008-543X

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✦ Synopsis

Abstract

BACKGROUND

Determination of prognosis factors associated with survival, recurrence, progression, and development of metastasis in T1 and T2a transitional cell carcinoma (TCC) of the bladder is discussed.

METHODS

A study was conducted of a group of 210 patients with primary bladder TCC at classification T1 (n = 175) and T2aN0M0 (n = 35). A total of 177 variables were studied in each patient. The monoclonal antibodies used were the following: DO7 (p53) and MIB‐1 (Ki‐67). Prognosis was obtained using Kaplan–Meier methodology and Cox proportional hazards model.

RESULTS

The average follow‐up period was 6.7 years. Cancer‐related survival rates at 5 and 10 years were 82.96% and 74.78%, respectively. The independent survival variables were the following: age and expression of p53. Recurrence free survival at 5 and 10 years stood at 51.80% and 42.71%, respectively. The independent recurrence variables were T2a classification, tumor multifocality, tumor size of greater than 3 cm, carcinoma in situ in random biopsy, and expression of Ki‐67. Progression free survival rates at 5 and 10 years were 75.31% and 69.16%, respectively. The independent progression variables were age, T2a classification, and expression of p53. Metastasis free survival rates at 5 and 10 years stood at 87.23% and 84.55%, respectively. The expression of p53 was the sole variable to provide an independent prediction of metastasis.

CONCLUSIONS

The expression of p53 clearly has an independent effect on the prediction of survival, progression and development of metastasis, showing a dose–response effect. Tumor multifocality and T2a classification are the variables that best predict recurrence. Cancer 2002;94:1677–84. © 2002 American Cancer Society.

DOI 10.1002/cncr.10376

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