Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays

YAO Yuanyang; CHEN Yonghua; WANG Yue; LI Xiaoping; WANG Jianliu; SHEN Danhua; WEI Lihui

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Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays

YAO Yuanyang 1,CHEN Yonghua 2,WANG Yue 2,LI Xiaoping 2,WANG Jianliu 2 *,SHEN Danhua 2,WEI Lihui 2

1.Department of Gynecologic and Obstetrics, Peking University People\'s Hospital, Beijing 100044

2.Department of Gynecologic and Obstetrics, Peking University People's Hospital, Beijing 100044

*Correspondence author

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Funding: Specialized Research Fund for the Doctoral Program of Higher Education （No.No. 20090001110085）

Opened online:22 January 2013

Accepted by: none

Citation: YAO Yuanyang,CHEN Yonghua,WANG Yue.Molecular classification of human endometrial cancer based on gene expression profiles from specialized microarrays[OL]. [22 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4515450

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.

Keywords:Molecular classification; Endometrial cancer; Cluster analysis

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