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DEK蛋白表达在肺腺癌预后判断中的意义 被引量:3

DEK protein expression in the prognosis of patients with lung adenocarcinoma
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摘要 目的探讨癌基因DEK蛋白在肺腺癌中的表达及意义。方法应用组织芯片进行免疫组化染色,检测106例肺腺癌及其癌旁正常组织中DEK蛋白的表达,结合临床生物学指标及生存时间进行统计学分析。结果肺腺癌组织中DEK蛋白阳性表达率为57.55%和16.98%,癌组织中DEK蛋白阳性表达率明显高于癌旁正常组织(P=0.000),DEK蛋白在肺腺癌中的表达与肿瘤大小(P=0.019)、组织分化程度(P=0.000)、病理学分期(P=0.020)及化疗疗效(P=0.006)密切相关;癌组织中DEK蛋白的阳性率与患者生存时间明显相关(Log-rank=7.375,P=0.007)。进上步分析表明,病理学分期、是否有转移及化疗疗效都是肺腺癌生存期的独立风险因素。结论检测肺腺癌组织中DEK蛋白的表达对其诊断、预后及化疗敏感性有一定的价值,有望成为新的肿瘤标志物。 [Objective] To explore the role of DEK in tumor progression and prognostic evaluation of lung adeno- carcinoma. [Methods] The immunohistochemistry was used for DEK protein in 106 lung adenocarcinomae. Addi- tionally, the correlation between DEK expression and the clinicopathological features of lung adenocarcinoma was e- valuated by x2 test and Fisher's exact test, the survival rates were calculated by the Kaplan-Meier method, and the relationship between prognostic factors and patient survival was also analyzed by the Cox analysis. [ Results ] DEK protein expression in 61cases of lung adenocarcinoma (57.55%) was significantly higher than adjacent lung tissues (16.98%) (P =0.000). DEK expression rate was positively correlated with tumor size (P =0.019), the pathologic stage (P =0.020), differentiation (P =0.000). Importantly, there were significant differences between DEK expression and the over survival rate (Log-rank=7.375, P =0.007). Further analysis by Cox proportional hazard regression model in- dicated that stage, metastasis, and chemotherapy response emerged as significantly independent hazard factors for over survival in N lung adenocarcinoma. [ Conclusions ] DEK expression is related to the diagnosis, prognosis, and chemotherapy response in lung adenocarcinoma, and expected to become a new molecular marker for carcinoma.
出处 《中国现代医学杂志》 CAS CSCD 北大核心 2013年第7期34-37,共4页 China Journal of Modern Medicine
基金 国家自然科学基金(No:30960120) 吉林省科技厅科技发展计划项目(No:20095203)
关键词 肺腺癌 DEK 免疫组化 化疗 生存分析 lung adenocarcinoma DEK immunohistochemistry chemotherapy survival analysis
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参考文献9

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同被引文献25

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