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目的探讨对不同期别子宫内膜癌组织中的差异表达基因进行层次聚类分析的意义。方法利用基因芯片技术分析32例不同期别子宫内膜癌组织中的差异表达基因,并对其基因表达谱进行层次聚类分析。结果根据国际妇产科联盟(FIGO)手术病理分期的不同对所有样本进行分组,分为Ⅰ、Ⅱ、Ⅲ、Ⅳ期组4组,筛选出与肿瘤转移相关的差异表达基因12个。根据这12个差异表达基因对32例内膜癌进行层次聚类分析,其结果与手术病理分期的符合率为66%。结论基因芯片技术可以发现与子宫内膜癌转移相关的差异表达基因,基因表达谱层次聚类分析可以在术前帮助判断高危型子宫内膜癌。
Objective To investigate the significance of hierarchical clustering analysis of differentially expressed genes in different stages of endometrial cancer. Methods Gene microarray was used to analyze the differentially expressed genes in 32 cases of endometrial cancer and to analyze the gene expression profile by cluster analysis. Results All the samples were grouped according to the stage of the operation of FIGO. The samples were divided into 4 groups of Ⅰ, Ⅱ, Ⅲ and Ⅳ, and 12 differentially expressed genes related to tumor metastasis were screened out. Hierarchical cluster analysis of 32 cases of endometrial carcinoma based on these 12 differentially expressed genes showed a consistent rate of 66% with surgical pathology. Conclusion Gene microarray technique can detect differentially expressed genes associated with endometrial cancer metastasis. Hierarchical clustering analysis of gene expression profiles can help determine high-risk endometrial carcinoma before surgery.