| Project/Area Number |
22K18179
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 90110:Biomedical engineering-related
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| Research Institution | Hokkaido University |
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Principal Investigator |
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| Project Period (FY) |
2022-04-01 – 2024-03-31
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| Project Status |
Completed (Fiscal Year 2023)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | Raman spectroscopy / cancer stem cell / machine learning / material science / Raman imaging / chemometrics / hydrogel / macrophage / Raman imaging / Data standardadization / stemness markor / cell moprhology / molecular imaging / cancer stem cells |
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| Outline of Research at the Start |
The first target of this project will be to evaluate with hyperspectral Raman imaging the metabolic changes that occur when cancer cells are cultivated on hydrogels in comparison to usual samples. Especially lipid metabolism alteration and redox states will be clarified.
The final target will be to explore the action of immune system cells, macrophages, in the genesis or the maintenance of cancer stem cells.
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| Outline of Final Research Achievements |
It was observed that a Raman imaging system integrated with a hydrogel substrate and an advanced data preprocessing pipeline can serve as an effective platform for detecting the presence of cancer stem cells. By using an advanced preprocessing Raman data pipeline, it becomes possible to compare the Raman spectra of cancer cells cultured on hydrogels, which are likely to express stemness markers, with those obtained from standard culture conditions. This approach enhances the sensitivity and specificity of cancer stem cell detection and provides insights into the metabolic alterations that underpin their stemness properties. Consequently, this platform holds great potential for improving cancer diagnosis and treatment by enabling the early detection and characterization of cancer stem cells, ultimately contributing to more targeted and effective therapeutic strategies.
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| Academic Significance and Societal Importance of the Research Achievements |
Cancer stem cells drive cancer resistance, metastasis, and drug resistance, making it urgent to develop platforms for detecting their presence in tumors and studying their properties. My research aims to create such a platform, enhancing early detection and understanding of cancer stem cells.
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