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The study of significance of endometrial carcinoma related genes and molecular phenotype
CHEN Yonghua 1,YAO Yuanyang 2,ZHANG Lili 2,LI Xiaoping 2,WANG Yue 2,ZHAO Lijun 2,WANG Jianliu 2 *,WANG Gongwei 2,SHEN Danhua 2,WEI Lihui 2,ZHAO Jianqing 3
1.Department of Obstetrics and Gynecology, Peking University People\'s Hospital, Beijing 100044
2.Department of Obstetrics and Gynecology, Peking University People's Hospital, 100044
3.CapitalBio Corporation, Beijing, 102206
*Correspondence author
#Submitted by
Subject:
Funding: Specialized Research Fund for the Doctoral Program of Higher Education（No.No,20090001110085）
Opened online: 6 February 2013
Accepted by: none
Citation: CHEN Yonghua,YAO Yuanyang,ZHANG Lili.The study of significance of endometrial carcinoma related genes and molecular phenotype[OL]. [ 6 February 2013] http://en.paper.edu.cn/en_releasepaper/content/4518714
 
 
In this paper, the main objective was to refine more precisely the gene expression patterns used to distinguish serous from endometrioid endometrial carcinoma and to identify the molecular phenotype of different clinicopathological subtypes of endometrial carcinoma by cDNA microarray technology. Methods: A low-density custom microarray containing 492 genes relevant to the endometrial carcinoma were used to analysis the gene expression profiles of 32 endometrioid and 5 serous endometrial cancer tissue samples. Clinicopathological characteristics among the clusters were analysised. The expression of 5 differentially expressed genes: NDC80, BUB1, FUT8, ANXA4 and BBC3 in endometrioid and serous adenocarcinoma samples was further evaluated by quantitative real-time PCR and immunohistochemistry. Results: Unsupervised cluster analysis revealed that the 5 serous adenocarcinomas clustered together. These were separated from the endometrioid adenocarcinomas which were further sorted into 3 additional clusters. A comparative analysis indicated that there was a significant difference in FIGO stage with no significant difference in depth of myometrial invasion among the 4 clusters. The FIGO ternary grading system could not distinctly separate the 3 clusters of endometrioid adenocarcinomas, but a binary grading system was able to do so. The directions of gene and protein expression change of five differentially expressed genes estimated by real-time PCR and immunohistochemistry are consistent with those estimated from microarray. Conclusions: Different clinicopathological subtypes of endometrial carcinoma exhibit distinct gene expression profiles, and a multi-protein immunohistochemistry expression pattern is constructed by selecting some candidate genes based on gene expression profiles, which may be feasible for identifying molecular phenotype in endometrial carcinoma.
Keywords:Endometrioid adenocarcinoma; Serous adenocarcinoma; cDNA microarrays
 
 
 

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