中国现代神经疾病杂志 ›› 2012, Vol. 12 ›› Issue (6): 719-724. doi: 10.3969/j.issn.1672-6731.2012.06.016

• 新技术新方法 • 上一篇    下一篇

2 自动免疫组织化学染色仪在胶质瘤病理诊断中的应用

高名士,陈宏,吴劲松   

  1. 200040 上海,复旦大学附属华山医院神经病理室(高名士、陈宏),神经外科(吴劲松)
  • 出版日期:2012-12-16 发布日期:2012-12-21
  • 通讯作者: 吴劲松(Email:wjsongc@126.com)

Application of automatic immunohistochemistry stainer in pathological diagnosis of glioma

GAO Ming-shi1, CHEN Hong1, WU Jin-song2   

  1. 1Department of Neuropathology, 2Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
  • Online:2012-12-16 Published:2012-12-21
  • Contact: WU Jin-song (Email: wjsongc@126.com)

摘要: 目的  探讨Leica BOND-MAXTM 全自动免疫组织化学染色仪标记的Ki-67 抗原在胶质瘤组织病理学诊断中的意义。方法  选择经神经外科手术切除并经病理明确诊断的胶质瘤组织标本共计120 例(WHOⅠ ~ Ⅳ级各30 例),分别采用全自动免疫组织化学染色仪和手工操作EnVision 二步法进行组织病理学检测。结果  不同WHO 分级与不同染色方法之间存在交互作用,且两种染色方法检测胶质瘤细胞胞核Ki-67 抗原标记指数差异具有统计学意义(均P = 0.000)。两种染色方法对WHOⅠ级和Ⅱ级胶质瘤细胞胞核Ki-67 抗原标记指数的检测差异无统计学意义(均P > 0.05);但WHOⅠ、Ⅱ级与Ⅲ、Ⅳ级之间,以及WHOⅢ级与Ⅳ级之间及其同一病理级别之间比较,全自动免疫组织化学染色仪检测胶质瘤细胞胞核Ki-67 抗原标记指数均高于手工染色法(均P < 0.05)。结论  全自动免疫组织化学染色仪新技术带来的标准化可为组织病理学诊断提供更为准确的依据,对于分析和判断胶质瘤分级和预后具有重要意义。

关键词: 免疫组织化学, 神经胶质瘤, 病理学, 诊断

Abstract: Objective To investigate and evaluate the Ki-67 expression in glioma pathological diagnosis by Leica BOND-MAXTM automatic immunohistochemistry stainer. Methods Collect 120 glioma tissue paraffin blocks (30 cases for WHO Ⅰ, Ⅱ, Ⅲ, Ⅳ respectively) and perform histopathological examinations using EnVision by automatic stainer and conventional manual procedure. Results The interaction effects were presented between different WHO grades and staining methods. Statistical significance (P = 0.000, for all) was shown in the detection of Ki-67 labeling indexes by the two methods. The analysis of Ki-67 between and within WHOⅠand WHOⅡ had no statistical significance (P > 0.05, for all); however, the comparisons of Ki-67 labeling indexes between WHOⅠ,Ⅱand WHOⅢ,Ⅳ, between WHO Ⅲ and Ⅳ, within the same grade by using the two methods were all statistically significant (P < 0.05, for all), and the Ki-67 labeling indexes by automatic stainer are higher than that by manual staining. Conclusion The standardization of immunohistochemistry by automatic stainer provides more reliable proof for histopathological diagnosis and contributes to the analysis of the grading and prognosis in gliomas.

Key words: Immunohistochemistry, Glioma, Pathology, Diagnosis