2015 Fiscal Year Final Research Report
Investigation of tumor heterogeneity based on analyses of transcriptomic entropy
| Project/Area Number |
25430139
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Tumor diagnostics
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| Research Institution | Keio University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Keywords | がんの個性診断 / 腫瘍不均一性 / 遺伝子発現 / エントロピー / 情報理論 / 代謝経路 |
|---|
| Outline of Final Research Achievements |
We successfully applied information theory represented by Shannon’s entropy and mutual information to quantification of the tumor heterogeneity reflected in the transcriptome in each of biological pathways. In fact, metabolic pathways exhibiting high or low heterogeneity were detected among a number of human cancer cell lines as well as between different oxygen environments of cell culture. These results provide insights into tumor heterogeneity from the perspective of metabolic biology, suggesting the potential of diagnostic and therapeutic application.
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| Free Research Field |
腫瘍学
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