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目的：初步了解肺鳞癌及癌旁组织的基因表达谱的改变并探讨ｃＤＮＡ 微阵列表达分析滤膜在肿瘤研究中的应用价值。方法：提取肺鳞癌及癌旁组织总ＲＮＡ，逆转录成ａ－３２Ｐ－ｄＡＴＰ，标记的ｃＤＮＡ探针，与含有５８８个肿瘤相关基因的ＡｔｌａｓＴＭ Ｈｕｍａｎ Ｃａｎｃｅｒ ｃＤＮＡ Ｅｘｐｒｅｓｓｉｏｎ Ａｒｒａｙ杂交。放射自显影后利用扫描杂交信号灰度的强弱在专用的 ＡｔｌａｓＩｍａｇｅ ＴＭ软件分析后得出结果。结果：肺鳞癌组织中，肿瘤坏死因子受体（ＴＮＦＲ）等 １６个基因表达上调，白介素－１３前体等８个基因表达下调。结论：肺鳞癌恶性表型是由其发生过程中多个基因表达的复杂变化决定的。Ａｔｌａｓ微阵列表达分析滤膜是研究基因表达谱的较好方法。
Objective: To understand the changes of gene expression profiles of lung squamous cell carcinoma and paracancerous tissues and to explore the value of cDNA microarray expression analysis in the study of cancer. Methods: Total RNA was extracted from lung squamous cell carcinoma and paracancerous tissues, reverse transcribed into a-32P-dATP, labeled cDNA probes, and hybridized with AtlasTM Human Cancer cDNA Expression Array containing 588 tumor-associated genes. After the autoradiography, the intensity of the scanned hybridization signal was used to analyze the result of the analysis using dedicated AtlasImageTM software. RESULTS: In lung squamous cell carcinoma, 16 genes such as tumor necrosis factor receptor (TNFR) were up-regulated, and 8 genes such as interleukin-13 precursor were down-regulated. Conclusion: The malignant phenotype of lung squamous cell carcinoma is determined by the complex changes in the expression of multiple genes during its development. Atlas microarray expression analysis filters are a better way to study gene expression profiles.