Ramos Soler David, Navarro Fos Samuel, Villamón Fort Rafael, Gil Salom Manuel, Llombart Bosch Antonio
Departamento de Patología, Facultad de Medicina, Universidad de Valencia, Valencia.
Arch Esp Urol. 2003 Apr;56(3):277-85.
To study the prognostic value of p53, bcl-2 and c-erbB-2 immunoexpression in predicting tumor relapses in low-grade papillary bladder neoplasms.
In all patients a complete transurethral resection of the lesion was performed. All the material was formalin-fixed and paraffin-embedded. At the immunohistochemical level, the following monoclonal antibodies were utilized: p53 (clone DO7), bcl-2 (clone 124) and c-erbB-2 (clone CB11). In order to predict tumor relapses during follow-up, a study of specificity, sensitivity and predictive positive value (PVP) and negative was designed. In univariate statistical studies, the following tests were utilized: Chi-square, Kaplan-Meier estimates and Cox logistic regression.
Mean follow-up was 76.6 months (38 to 168). In recurrence prediction, p53 expression showed a high specificity (99%) as well as a high PPV (96%). Regarding bcl-2 and c-erbB-2 immunoexpression, both specificity (65% and 72%) and PPV (61% and 72%) were also high, although these percentages were lower than those obtained for p53 expression. The combined analysis of p53 and bcl-2 indicated that bcl-2 immunoexpression in non-basal cells of the urothelium could be independent of p53, although the number of cases showing this particular expression pattern is not high enough to perform an accurate statistical analysis. Otherwise, histologic grade demonstrated higher sensitivity (64%) and lower specificity (40%) than the immunohistochemical markers. In univariate studies, p53 showed an intense statistical correlation with relapse-free interval (RFI) and prediction of tumor recurrences during follow-up (p < 0.001), whereas the expression of bcl-2 (p = 0.065) was nearly correlated with RFI (p = 0.065). In contrast, expression of c-erbB-2 did not show statistical correlation (p = 0.112).
In our study, individual and combined analysis of p53 and bcl-2 immunoexpression have demonstrated to be useful in predicting tumor recurrences and RFI in low-grade bladder lesions.
研究p53、bcl-2和c-erbB-2免疫表达在预测低级别乳头状膀胱肿瘤复发中的预后价值。
所有患者均接受病变的经尿道完整切除术。所有材料均用福尔马林固定并石蜡包埋。在免疫组织化学水平上,使用以下单克隆抗体:p53(克隆DO7)、bcl-2(克隆124)和c-erbB-2(克隆CB11)。为了预测随访期间的肿瘤复发,设计了一项关于特异性、敏感性、预测阳性值(PVP)和阴性值的研究。在单变量统计研究中,使用了以下检验:卡方检验、Kaplan-Meier估计和Cox逻辑回归。
平均随访时间为76.6个月(38至168个月)。在复发预测中,p53表达显示出高特异性(99%)以及高PPV(96%)。关于bcl-2和c-erbB-2免疫表达,特异性(分别为65%和72%)和PPV(分别为61%和72%)也较高,尽管这些百分比低于p53表达所获得的百分比。p53和bcl-2的联合分析表明,尿路上皮非基底细胞中的bcl-2免疫表达可能独立于p53,尽管显示这种特定表达模式的病例数量不足以进行准确的统计分析。否则,组织学分级显示出比免疫组化标记更高的敏感性(64%)和更低的特异性(40%)。在单变量研究中,p53与无复发生存期(RFI)以及随访期间肿瘤复发的预测显示出强烈的统计学相关性(p < 0.001),而bcl-2的表达(p = 0.065)与RFI几乎相关(p = 0.065)。相比之下,c-erbB-2的表达未显示出统计学相关性(p = 0.112)。
在我们的研究中,p53和bcl-2免疫表达的单独及联合分析已证明对预测低级别膀胱病变中的肿瘤复发和RFI有用。