IR@PKUHSC  > 北京大学第二临床医学院
学科主题临床医学
Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays
Yao, YuanYang1; Chen, YongHua1; Wang, Yue1; Li, XiaoPing1; Wang, JianLiu1; Shen, DanHua2; Wei, LiHui1
关键词Molecular Classification Endometrial Cancer Cluster Analysis
刊名INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS
2010-08-01
DOI10.1016/j.ijgo.2010.03.020
110期:2页:125-129
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Obstetrics & Gynecology
资助者Ministry of Education of the People&prime ; s Republic of China ; Ministry of Education of the People&prime ; s Republic of China
研究领域[WOS]Obstetrics & Gynecology
关键词[WOS]BREAST-CANCER ; LUMICAN ; PATTERNS ; TUMORS
英文摘要

Objective: To investigate whether the molecular classification of endometrial cancer based on gene expression profiles can predict the biological behavior of the tumors and inform prognosis. Methods: An array containing 492 genes was used to generate gene expression profiles from 35 tumor samples. A hierarchical cluster algorithm was used to compare gene expression patterns among the tumor samples. Results: A cluster analysis revealed 3 distinct tumor clusters. A comparative analysis of tumor type, grade, FIGO stage, and depth of myometrial invasion revealed significant differences in grade and stage among the clusters, which appear to group tumors with specific clinical behaviors. Moreover, the cluster analysis initially revealed 2 clusters of differentially expressed genes. One contained 38 genes that were upregulated in most samples of the cluster representing the most advanced disease, and the other contained 27 genes that were upregulated in most samples of the cluster representing the least advanced disease. Conclusion: Molecular classification of endometrial cancer based on gene expression profiles obtained by designing specialized microarrays indicated a marked correspondence with the histologic features and clinical behavior of endometrial cancer tumors. (C) 2010 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

语种英语
资助者Ministry of Education of the People&prime ; s Republic of China ; Ministry of Education of the People&prime ; s Republic of China
WOS记录号WOS:000280501500011
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/52118
Collection北京大学第二临床医学院
作者单位1.Peking Univ, Peoples Hosp, Dept Obstet & Gynecol, Beijing 100044, Peoples R China
2.Peking Univ, Peoples Hosp, Dept Pathol, Beijing 100044, Peoples R China
Recommended Citation
GB/T 7714
Yao, YuanYang,Chen, YongHua,Wang, Yue,et al. Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays[J]. INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS,2010,110(2):125-129.
APA Yao, YuanYang.,Chen, YongHua.,Wang, Yue.,Li, XiaoPing.,Wang, JianLiu.,...&Wei, LiHui.(2010).Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays.INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS,110(2),125-129.
MLA Yao, YuanYang,et al."Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays".INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS 110.2(2010):125-129.
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