| Project/Area Number |
15H04287
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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 | Tokai University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
宮城 洋平 地方独立行政法人神奈川県立病院機構神奈川県立がんセンター(臨床研究所), がん分子病態学部, 総括部長 (00254194)
石川 俊平 東京医科歯科大学, 難治疾患研究所, 教授 (50418638)
安藤 潔 東海大学, 医学部, 教授 (70176014)
千々和 剛 自治医科大学, 医学部, 講師 (70642180)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥16,770,000 (Direct Cost: ¥12,900,000、Indirect Cost: ¥3,870,000)
Fiscal Year 2017: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000)
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| Keywords | がん幹細胞 / 微小環境 / 幹細胞ーニッチ相互作用 / インタラクトーム / 免疫不全マウス / 患者由来ゼノグラフト / 癌ゼノ患者 / 個別化医療 / がん微小環境 / インタラクトーム解析 / がんゼノ患者モデル / 抗がん剤治療モデル / がん幹細胞維持分子 / 新規分子標的薬 / がんゼノ患者 / 幹細胞維持微小環境 / 幹細胞相互作用 / がんゼノグラフト / NOGマウス / 相互作用 |
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| Outline of Final Research Achievements |
Mice bearing Patient-derived xenografts (PDXs) with clinical information (so-called “Cancer Xenopatients”) are remarkable systems for personalized medicine of cancer. The NOG mice were appropriate immunodeficient host animals for direct xenografting due to preserving cancer-stem-cells (CSCs). Using PDX/NOG models same as surgical samples are stably provided. The PDX/NOG models could simulate for personalized cancer chemotherapy. Collagen gel droplet culture-drug sensitivity tests (CD-DST) between original and PDX/NOG specimen were well correlated. Interactome analyses showed tumor-stroma interactions of PDX/NOG comprehensively in gene-expression level by distinguishing gene-arrangement of human tumor from mice stroma. Interactome profiles were closely reflected to clinical effectiveness. The interactome analyses in PDX/NOG were reliable to simulate clinical courses. The interactome profiles well reflecting chemosensitivity could contribute to personalized anticancer therapies.
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