...
首页> 外文期刊>British Journal of Cancer >Prediction of recurrence by quantification of p185neu protein in non-small-cell lung cancer tissue
【24h】

Prediction of recurrence by quantification of p185neu protein in non-small-cell lung cancer tissue

机译:通过定量p185neu蛋白在非小细胞肺癌组织中的复发预测

获取原文

摘要

The concentration of c-erbB-2 oncogene-encoded protein (p185neu) in fresh tumour samples obtained at the time of surgery from 94 non-small-cell lung cancer patients (NSCLC) was determined by an enzyme immunoassay. The relative prognostic importance was estimated, and the influence of other predictors was assessed by means of a Cox's proportional regression model. Median concentration of p185 in tumour tissues was 206 U mg(-1) (range 21-1050 U mg(-1)). p185 level did not differ significantly among subgroups defined by TNM classification, histological type, sex and age. Categorization of patients by p185 level, with 206 U mg(-1) and 343 U mg(-1) taken as cut-off values (corresponding to the 50th and 80th percentiles of the frequency distribution), showed that the recurrence rate, cumulative disease-free likelihood at the 36-month follow-up and median time from surgery to the diagnosis of recurrence worsened progressively as the level of p185 increased. Multivariate analysis confirmed the independent prognostic value of p185 level. Risk of recurrence increased by 1.304 for every increase of 100 units in p185 concentration (95% CI 1.141-1.490) (P<0.001). These findings encourage the inclusion of p185 concentration assay in a future predictive multifactorial prognostic index in NSCLC.
机译:通过酶免疫测定法测定了在手术时从94名非小细胞肺癌患者(NSCLC)获得的新鲜肿瘤样品中c-erbB-2癌基因编码蛋白(p185neu)的浓度。评估相对预后的重要性,并通过Cox比例回归模型评估其他预测因素的影响。肿瘤组织中p185的中位数浓度为206 U mg(-1)(范围为21-1050 U mg(-1))。在TNM分类,组织学类型,性别和年龄所定义的亚组之间,p185水平没有显着差异。按p185水平对患者进行分类,以206 U mg(-1)和343 U mg(-1)作为临界值(对应于频率分布的第50和第80个百分位数),表明复发率,累积随着p185水平的升高,在36个月的随访中无疾病的可能性以及从手术到复发诊断的中位时间逐渐恶化。多变量分析证实了p185水平的独立预后价值。 p185浓度每增加100单位,复发风险增加1.304(95%CI 1.141-1.490)(P <0.001)。这些发现鼓励将p185浓度测定法纳入NSCLC的未来预测性多因素预后指标中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号