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免疫组化方法检测肿瘤标志在肺癌组织芯片中表达的可靠性研究

Reliability of Tissue Microarrays for Immunohistochemical Detecting of Tumor Markers in Non-Small Cell Lung Cancer

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【作者】 乔贵宾吴一龙区伟杨学宁钟文昭林嘉颖赵建谢丹关新元

【Author】 QIAO Gui bin 1,2 , WU Yi long 1,OU Wei 2, YANG Xue ning 2,ZHONG Wen zao 2,LIN Jia ying 2,ZHAO Jian 2,XIE Dan 3,GUAN Xin yuan 3 1.Department of Thoracic Surgery,General Hospital of Guangzhou Command,Guangzhou 510010,China;2. Department of Cardiothoracic Surgery, the Third Affiliated Hospital of Sun Yat Sen University; 3.Department of Clinical Oncology, HongKong University

【机构】 广州军区广州总医院胸外科广东省人民医院肿瘤中心、胸外科香港大学临床肿瘤学系香港大学临床肿瘤学系 510010广东省肺癌研究所广东省肺癌研究所

【摘要】 目的 用免疫组化方法检测肺癌组织芯片肿瘤标志的可靠性和有效性进行了探讨。方法 建立含有 4 18例非小细胞肺癌标本的组织芯片 ,并随机选取了 5 0例与组织芯片标本相对应的全组织标本。用免疫组化方法研究并对比了Ki 6 7和p5 3在组织芯片和全组织标本中的表达情况及其符合程度和可靠性。结果 组织芯片和全组织切片中Ki 6 7和 p5 3表达的一致率分别为 98%和 96 %。非小细胞肺癌三位点组织芯片检测Ki 6 7和p5 3表达的可靠性好 ,Kappa值分别为0 .95和 0 .91。结论 三位点组织芯片可有效、可靠地检测肿瘤标志物在非小细胞肺癌中的表达。本研究表明组织芯片技术特别适用于大样本、回顾性的临床研究

【Abstract】 Objective Tissue microarrays allow high throughput molecular profiling of cancer specimens by immunohistochemistry. This study is aimed at investigating the reliability and validity of tissue microarrays for immunophenotyping.Methods We constructed triplicate tissue microarrays (TMAs) containing specimens from 418 patients with non small cell lung cancer (NSCLC), and randomized selected 50 full tissue sections from these tumors. TMAs and full tissue section slides were immunohistochemically stained with antibodies against Ki 67 and p53. Data on full tissue sections were compared to the results of TMAs.Results Concordance for Ki 67 and p53 staining between tissue arrays with triplicate cores per tumor and full sections were 98% and 96%, respectively. TMAs (three cores per tumor) were reliable for detecting of Ki 67 and p53 in NSCLC tissues, Kappa value were 0.95 and 0.91 , respectively.Conclusion Triplicate 0.6 -mm core biopsies sampled on tissue arrays provide a reliable system for high throughput expression profiling by immunohistochemistry when compared to standard full sections, and suit for large scale retrospective clinical study.

【关键词】 肺肿瘤组织芯片Ki-67p53
【Key words】 Non-small cell lung cancerTissue micro-arraysKi-67p53
【基金】 广州市科技局重点攻关项目 ( 2 0 0 1 Z 0 4 4 0 1);广东省重点医学科技攻关专项课题(WSTJJ2 0 0 30 72 6 4 4 0 10 2 5 6 0 2 0 340 1);国家高新技术研究发展计划重大课题( 2 0 0 4 1)
  • 【文献出处】 肿瘤防治研究 ,Cancer Research On Prevention and Treatment , 编辑部邮箱 ,2004年08期
  • 【分类号】R734.2
  • 【被引频次】17
  • 【下载频次】447
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