2020 Fiscal Year Final Research Report
Establishment of biomarkers for predicting therapeutic response to immune checkpoint inhibitors
Project/Area Number |
19K16945
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 52010:General internal medicine-related
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Research Institution | The University of Tokyo |
Principal Investigator |
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Project Period (FY) |
2019-04-01 – 2021-03-31
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Keywords | がん / 免疫チェックポイント阻害剤 / 治療応答性 / 個別化医療 |
Outline of Final Research Achievements |
Blood samples obtained from tumor-bearing mouse models were analyzed using mass spectrometry, and serum samples obtained from cancer patients were evaluated with immunological methods in this study. Consequently, We found that the level of Interleukin-1 (IL-1) signaling pathway molecules can be used as an indicator to predict changes in response to immune checkpoint inhibitors after treatment initiation.
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Free Research Field |
医療薬学
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Academic Significance and Societal Importance of the Research Achievements |
患者血清中の免疫系の制御に関わるタンパク質濃度が免疫チェックポイント阻害剤に対する治療応答性を予測するバイオマーカーとなり得る可能性を示し、臨床医学の観点から意義のある成果が得られた。本研究は真にベネフィットの得られる患者に対して薬剤を適用する個別化医療に貢献しうるものと考えられ、治療成績の向上に資するのみならず、無効な治療に伴う副作用リスクの回避や患者の経済的負担の軽減などにも役立つことが期待される。
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