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学科主题: 临床医学
题名:
Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays
作者: 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
发表日期: 2010-08-01
DOI: 10.1016/j.ijgo.2010.03.020
卷: 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
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
项目资助者: Ministry of Education of the People&prime ; s Republic of China
WOS记录号: WOS:000280501500011
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/52118
Appears in Collections:北京大学第二临床医学院_期刊论文

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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:
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.
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