不同分化级别子宫内膜癌差异表达基因探讨  

Studies of Differentially-Expressed Genes in Human Endometrial Cancer of Various Differentiated Grades

作　　者：蔡斌[1] David Hogg 路光中[3] 刘玲[2] 席晓薇[1] 杨懿霞[1] 万小平[1] 

机构地区：[1]上海交通大学附属第一人民医院妇产科,上海市300080 [2]加拿大多伦多大学医学与生物物理学系 [3]上海交通大学附属第一人民医院病理科

出　　处：《中国肿瘤临床》2007年第18期1033-1035,共3页Chinese Journal of Clinical Oncology

基　　金：国家自然科学基金资助(编号:30371481)

摘　　要：目的:探讨不同分化级别人子宫内膜癌组织基因表达谱差异,寻找高危子宫内膜癌的基因表达谱。方法:利用基因芯片分析32例不同分化子宫内膜癌间差异表达基因,并对基因表达谱进行层次聚类分析。结果:按分化对所有样本分组,筛选出差异表达基因33个(P<0.001)。根据33个差异表达基因进行层次聚类分析的结果与根据分化程度进行分类的相符率为91%。结论:对不同分化级别子宫内膜癌基因表达谱差异的研究可以发现与子宫内膜癌分化相关的基因;基因表达谱的聚类分析有助于识别高危子宫内膜癌。Objective： To study the gene expression profiles of human endometrial cancer at various differentiated grades and to identify the genes related to differentiation of eudometrial cancer. Methods： eDNA microarray technology was used to analyze the differentially-expressed genes among different differentiated grades of 32 cases of endometrial cancer. Hierarchical cluster analysis （HCA） for the gene expression profiles of the cases was employed. Results： The tissue samples were grouped based on the various differentiated tumor grades with 33 differentiation-related genes identified （P〈0.001）. Based on the results from the HCA, the conformity rate was 91% among the 33 differentially-expressed genes and the analysis of pathological classification. Conclusion： Genes related to the differentiation of endometrial cancer can be identified, by using gene chips to analyze the expression profiles of endometrial cancer at various differentiated grades; HCA of the gene expression profiles can be helpful in the recognition of high-risk endometrial cancers before surgery.

关 键 词：CDNA微阵列 子宫内膜肿瘤 基因表达谱 层次聚类分析 

分 类 号：R737.33[医药卫生—肿瘤]