AI Article Synopsis
- - The study aimed to explore the gene expression profiles of different stages of endometrial cancer to find out which genes are linked to cancer progression and metastasis.
- - Researchers used cDNA microarray technology to analyze gene expression in 32 endometrial cancer samples, identifying 12 key genes that varied between cancer stages.
- - The findings showed a 66% agreement between the gene expression data and the clinical stages determined by the FIGO system, indicating that high-risk cancers could potentially be identified before surgery using this analysis method.
Article Abstract
Objective: To study the gene expression profile of different stage endometrial cancer and identify genes related to the progression and metastasis of endometrial cancer.
Methods: cDNA microarray was used to analyze the differentially expressed genes between different stage endometrial cancers. The hierarchical cluster analysis was applied to the gene expression profile of 32 endometrial cancers.
Results: Twelve differentially expressed genes were identified between different stage endometrial cancers. The conformity rate was 66% between the result of hierarchical cluster analysis and the operative-histological stages of International Federation of Gynecology and Obstetrics (FIGO).
Conclusion: Genes related to the endometrial cancer progression and metastasis can be identified by differential gene expression profile with cDNA microarray and high-risk endometrial cancer may be distinguished before surgery by hierarchical cluster analysis.
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