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

• Published in: 中国肿瘤临床（英文版） Vol. 4; no. 2; pp. 1 - 6
• Main Authors: Bin Cai, David Hogg, Guangzhong Lu, Ling Liu, Xiaowei Xi, Wei Xu, Huifang Lu, Yongbin Yang, Xiaoping Wan
• Format: Journal Article
• Language: English
• Published: Departments of Medicine and Medical Biophysics, University of Toronto, Toronto,Canada 2007; Department of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated First People's Hospital, Shanghai 200080, China%Departments of Medicine and Medical Biophysics, University of Toronto, Toronto,Canada%Department of Pathology, Shanghai Jiao Tong University Affiliated First People's Hospital, Shanghai 200080, China%Department of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated First People's Hospital, Shanghai 200080, China
• Subjects: hierarchical cluster analysis; cDNA microarray; endometrial tumor; gene expression profile
• ISSN: 1672-7118

R73; OBJECTIVE To study the gene expression profiles of human endometrial cancers at various differentiaOted grade levels and to identify the genes related to differentiation of the endometrial cancers. METHODS cDNA 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 dif ferentiated tumor grades with 33 differentiation-related genes identified out (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 cancers at various differentiated grades; HCA of the gene expression profiles can be helpful for distinguishing high-risk endometrial cancers before surgery.