| Project/Area Number |
24659625
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Thoracic surgery
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| Research Institution | The University of Tokyo |
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Principal Investigator |
NAKAJIMA Jun 東京大学, 医学部附属病院, 教授 (90188954)
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| Co-Investigator(Kenkyū-buntansha) |
MURAKAWA Tomohiro 東京大学, 医学部附属病院, 講師 (50359626)
SANO Atsushi 東京大学, 医学部附属病院, 登録研究員 (20569834)
KAKIMI Kazuhiro 東京大学, 医学部附属病院, 特任教授 (80273358)
MATSUSHITA Hirokazu 東京大学, 医学部附属病院, 特任講師 (80597782)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 肺がん / 次世代シーケンス / 遺伝子変異 / MHCクラスＩ結合予測法 / 固有抗原 / 変異ペプチド / 免疫反応 / 個別化がん免疫治療 / 肺癌 / 膵臓癌 / 全エクソームシーケンス / 全ＲＮＡシーケンス / ミスセンス変異 / 膵がん / 全RNAシーケンス / RNAシーケンス / エクソームシーケンス |
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| Outline of Final Research Achievements |
We established the method to identify candidate unique antigens from cancer specific mutations in pancreatic cancer specimens by combining next generation sequencing with MHC class I binding algorism. We also developed an assay to verify immune responses against those candidate unique antigens in mice. In total 6 lung cancer patients consisting of 3 smokers and 3 non-smokers, the numbers of genetic mutations (missense mutations) were 280 on average in former versus 75 in latter. Accordingly, the numbers of candidate unique antigen-derived T cell epitopes predicted by the algorism were 535 on average in former versus 140 in latter. We successfully created the system predicting candidate unique antigens and verifying them, which is a prerequisite for individualized cancer immunotherapy development in lung cancer patients.
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