2003 Fiscal Year Final Research Report Summary
Establishment of human tumor xenotransplantation models as a pre-clinical assisting tool for translational research
| Project/Area Number |
13480283
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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 |
Laboratory animal science
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| Research Institution | Central Institute for Experimental Animals |
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Principal Investigator |
OHNISHI Yasuyuki Cent.Inst.Exp.Anim., Lab.Oncology, Head, 腫瘍研究室, 室長 (70201382)
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| Co-Investigator(Kenkyū-buntansha) |
TOMISAWA Masashi Cent.Inst.Exp.Anim., Res.Project Ctr., Researcher, 研究プロジェクトセンター, 研究員 (10321663)
SUEMIZU Hiroshi Cent.Inst.Exp.Anim., Res.Project Ctr., Researcher, 研究プロジェクトセンター, 研究員 (40332209)
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| Project Period (FY) |
2001 – 2003
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| Keywords | xenograft / human tumor / nude mouse / microarray / ant-cancer drug / eresistance / htranslational research / personalized chemotherapy |
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| Research Abstract |
In the recent strategy for treatment of cancer disease, concepts such as the order-made treatment and the target-oriented therapy are arising in consideration. To translate the basic research results based on these concepts, pre-clinical in vivo models to evaluate such treatment strategies are very important. We have been establishing human tumor xenografts, and we maintain over 600 lines of various organ tumors from human origin. In this study, we analyzed gene expression profiles and chemosensitivities of those human tumor xenografts. We used cDNA microarray representing 23,040 genes to analyze expression profiles in a panel of 85 tumor xenografts derived from human breast, lung, stomach, colon, pancreas, and other four organs. We also examine chemosensitivities for these tumors on 9 antitumor drugs including CDDP, mitomycin C,5-FU. Comparison of the gene expression profiles and chemosensitivities of the tumors identified that 1,578 genes whose expression levels correlated significantly with drug effectiveness; 333 of those genes showed significant correlation with two or more drugs. These data should contribute useful information for identifying predictive markers for drug sensitivity that may eventually provide personalized chemotherapy for individual patients.
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Research Products
(12 results)
