2007 Fiscal Year Final Research Report Summary
Development of novel mass-screening methods by three-dimension microarray for endometrial cancer
| Project/Area Number |
17390444
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Obstetrics and gynecology
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| Research Institution | Tohoku University |
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Principal Investigator |
YAEGASHI Nobuo Tohoku University, Tohoku University, Graduate school of medicine, professor (00241597)
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| Co-Investigator(Kenkyū-buntansha) |
ITO Kiyoshi Tohoku University, Graduate school of medicine, Associate Professor (70241594)
HAYASHI Shin-ichi Tohoku University, School of medicine, professor (60144862)
NIIKURA Hitoshi Tohoku University, Hospital, Lecturer (80261634)
MORIYA Takuya Tohoku University, Hospital, Associate Professor (00230160)
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| Project Period (FY) |
2005 – 2007
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| Keywords | Endometrial cancer / Three-dimension Microarray / Cancer screening |
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| Research Abstract |
In this study, our final goal is application of three-dimensional Microarray system which is new microarray technology to endometrial cancer (EC) screening. First, we analyzed the altered genes expression in the glandular cell cut out of endometrium (normal) tissue and EC (grade 1 and 3) tissue with laser-capture microdissection using 22K DNA microarray (Agilent). Following that, we evaluated the validity of DNA microarray using real-time PCR, and the results showed that the 27 genes may become the tumor marker in EC. We performed a cluster analysis using mRNA level of selected-27 genes from ten each samples in normal and EC (grade 1 and 3) tissue. The cluster analysis classified total 30 samples into two different groups as normal tissue or EC tissue. Therefore, we produced custom chip (EM3D) fixed DNA probe of selected-27 genes and well-known 10 genes which is important in EC for EC screening. We analyzed the gene expression of EC tissue and normal tissue, 8 samples and 4 samples, respectively, using EM3D. EM3D classified sample distinctly into two groups as EC tissue or normal tissue. Also, to explore application possibility of EM3D for screening, we performed array and cluster analysis using EM3D in total RNA from cytologic 3 normal specimens and 6 EC specimens. EC and normal specimen were classified into two different groups. Now, we have analyzed 37 gene expressions of tissue and cytologic specimen using EM3D to increase the number of the examination. On the other hand, we found that protein such as midkine selected in this analysis may become a tumor marker in cancer. In future by analyzing relationship between data of EM3D and the clinicopathologic factor, M3D may become the method to show important clinical information such as a malignancy diagnosis, a medicine sensitivity prediction, and recurrence and metastasis prediction in EC.
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Research Products
(109 results)
