Niklinska W, Burzykowski T, Chyczewski L, Rusin M R, Furman M, Laudanski J, Chyczewska E, Sulik M, Niklinski J
Department of Histology and Embryology, Medical Academy, Bialystok, Poland.
Eur J Cancer Prev. 2000 Apr;9(2):81-7. doi: 10.1097/00008469-200004000-00003.
We investigated the association of p53 abnormalities (gene mutations by DNA sequencing and protein over-expression by immunostaining) with clinical data and prognosis in 74 patients with resected non-small cell lung cancer (NSCLC). DNA analysis of exons 5-8 of the p53 gene showed 34 mutations in 74 resected primary NSCLC (45.9%). Immunohistochemical study of the p53 protein revealed that 41 of 74 (55.4%) samples had positive staining. We found strong agreement between the results of the p53 protein expression test (p53-PE) and the p53 gene mutation test (p53-M) (Cohen's kappa = 0.65, 95% CI 0.48-0.82). Joint distribution of the results (analysed using the bivariate Dale model) was mainly influenced by, histological type of tumour. A positive result for the p53-PE test significantly increased (estimated odds ratio 84.5; 95% CI 8.89-803.03) the odds of observing a positive result in the p53-M test. In the univariate analysis (log rank test), positive results in the p53-M test and the p53-PE test were significantly associated with overall survival (P < 0.001 and P = 0.005, respectively). In the multivariate analysis (Cox's proportional hazard model), a positive result for the p53-M test significantly increased relative risk for overall survival (RR 9.56; 95% CI 2.62-34.87; P < 0.001). When the result of the p53-M test was accounted for, a positive result for the p53-PE test did not offer any additional prognostic information due to the strong dependence of results of the tests. However, when the result of the p53-M test was removed from the model, a positive result for the p53-PE test became a significant unfavourable prognostic factor (P = 0.009). We conclude that p53 gene mutation and protein expression analyses are in a strong agreement. Joint distribution of the results depends mainly on histological type of tumour. When considered separately, both tests are unfavourable prognostic factors in NSCLC. When the result of the p53-M test is taken into account, the p53-PE test does not offer any additional prognostic information.
我们研究了74例接受手术切除的非小细胞肺癌(NSCLC)患者中p53异常(通过DNA测序检测基因突变以及通过免疫染色检测蛋白过表达)与临床数据及预后之间的关联。对p53基因第5至8外显子的DNA分析显示,74例手术切除的原发性NSCLC中有34例发生突变(45.9%)。对p53蛋白进行的免疫组织化学研究显示,74份样本中有41份(55.4%)染色呈阳性。我们发现p53蛋白表达检测(p53-PE)结果与p53基因突变检测(p53-M)结果之间具有高度一致性(科恩kappa系数=0.65,95%置信区间0.48 - 0.82)。结果的联合分布(使用双变量戴尔模型分析)主要受肿瘤组织学类型的影响。p53-PE检测结果呈阳性显著增加了(估计比值比84.5;置信区间8.89 - 803.03)p53-M检测结果呈阳性的几率。在单变量分析(对数秩检验)中,p53-M检测和p53-PE检测结果呈阳性均与总生存期显著相关(分别为P < 0.001和P = 0.005)。在多变量分析(Cox比例风险模型)中,p53-M检测结果呈阳性显著增加了总生存期的相对风险(风险比9.56;95%置信区间2.62 - 34.87;P < 0.001)。当考虑p53-M检测结果时,由于检测结果之间的强依赖性,p53-PE检测结果呈阳性并未提供任何额外的预后信息。然而,当从模型中去除p53-M检测结果时,p53-PE检测结果呈阳性成为一个显著的不良预后因素(P = 0.009)。我们得出结论,p53基因突变和蛋白表达分析具有高度一致性。结果的联合分布主要取决于肿瘤的组织学类型。单独考虑时,两种检测在NSCLC中均为不良预后因素。当考虑p53-M检测结果时,p53-PE检测未提供任何额外的预后信息。