Abstract
王小利,张春梅,施侣元,余红平,徐顺清.p53基因突变和蛋白表达改变在食管癌预后作用中的Meta分析[J].Chinese journal of Epidemiology,2004,25(9):769-774
p53基因突变和蛋白表达改变在食管癌预后作用中的Meta分析
Significance of p53 gene mutation and P53 protein expression abnormality on the prognosis of esophageal cancer:a Meta-analysis study
  
DOI:
KeyWord: 食管肿瘤|基因,p53|相对危险比|预后|Meta分析
English Key Word: Esophageal neoplasm|Gene, p53|Relative hazard|Prognosis|Meta-analysis
FundProject:国家自然科学基金资助项目(39990570)
Author NameAffiliation
WANG Xiao-li Institute of Environment Medicine, Tongji Medical College, Huazhong University of, SHI Lv-yuan, YU Hong-ping, Science and Technology, Wuhan 430030 China 
ZHANG Chun-mei 华中科技大学同济医院皮肤病科 
SHI Lv-yuan 华中科技大学同济医学院流行病学教研室 
YU Hong-ping Institute of Environment Medicine, Tongji Medical College, Huazhong University of, SHI Lv-yuan, YU Hong-ping, Science and Technology, Wuhan 430030 China 
XU Shun-qing Institute of Environment Medicine, Tongji Medical College, Huazhong University of, SHI Lv-yuan, YU Hong-ping, Science and Technology, Wuhan 430030 China 
Hits: 3073
Download times: 1105
Abstract:
      目的 探讨p53基因突变及P53蛋白表达改变对食管癌预后的影响. 方法应用Meta分析方法Dersimonian-Laird模型对有关p53改变与食管癌预后的文献进行定量综合分析, 共入选27篇文献, 累计病例2174例, p53阳性1150例, 阳性率52.9%. 结果 对入选27篇文献一致性检验, q值为59.88, P<0.005, 文献具有异质性, 合并相对危险比为2.07, 95%可信区间为1.58~2.70. 结论 p53改变可能是食管癌患者不良预后的一个生物标志物, 有利于食管癌的治疗决策.
English Abstract:
      Objective To evaluate the prognostic significance of p53 mutation and P53 protein expression abnormality among esophageal cancer. Methods The results of 27 random controlled trials from 1990 to 2003 were analyzed by Meta-analysis method. The overall positive rate of p53 was 52.90% among the cumulative 2174 cases. Relative hazard(RH) was applied to evaluate the risk of disease and all data were analyzed by Dersimonian-Laird method. Results The analysis for homogeneity(q statistics test) showed that all eligible studies were with heterogeneity(q=59.88, P<0.005).The combined RH was 2.07 and 95%confidence interval was 1.58-2.70. Conclusion Findings showed that p53 was a poor prognosis biomarker for esophageal cancer gene diagnosis but might benefit to the stretagy of treatment.
View Fulltext   Html FullText     View/Add Comment  Download reader
Close