Statistical Modeling Methodology on Boolean Functions for Conquering Cancer Complex Ecosystem
| Project/Area Number |
18K18151
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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 62010:Life, health and medical informatics-related
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| Research Institution | Nagoya University |
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Principal Investigator |
Matsui Yusuke 名古屋大学, 医学系研究科(保健), 准教授 (90761495)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | がんサブクローン進化 / Cancer hallmark / タンパク質複合体 / 共発現変動 / 擬似時間推定 / 次元縮小法 / 共発現変動解析 / コピュラ / がん / がんの進化 / 多領域シークエンシグ / プロテオゲノム解析 / 生命情報学 / バイオインフォマティクス / 不均一性 / 統計科学 / がん進化 / 生体生命情報学 |
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| Outline of Final Research Achievements |
We have developed two main algorithms to approach the complex ecosystem of cancer. One is the estimation algorithm for cancer evolutionary structure at the pathway level using causal inference, and the other is a prediction algorithm for the causal factor causing protein complex deregulation and an approach for estimating mutation effects. These were applied to actual large-scale cancer omics cohort data to confirm their usefulness.
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| Academic Significance and Societal Importance of the Research Achievements |
がんの進展に関わる複雑な生物学的現象を数理的にモデリングしていくことで、網羅的な解析のみでは理解できないがんシステムの複雑性を理解でき、がんのフェノタイプを規定する原因同定や薬剤候補スクリーニングへの応用が期待できる。
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Report
(5 results)
Research Products
(19 results)
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[Journal Article] Pan-cancer methylome analysis for cancer diagnosis and classification of cancer cell of origin.2021
Author(s)
Shimizu D, Taniue K, Matsui Y, Haeno H, Araki H, Miura F, Fukunaga M, Shiraishi K, Miyamoto Y, Tsukamoto S, Komine A, Kobayashi Y, Kitagawa A, Yoshikawa Y, Sato K, Saito T, Ito S, Masuda T, Niida A, Suzuki M, Baba H, Ito T, Akimitsu N, Kodera Y, Mimori K.
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Journal Title
Cancer Gene Ther.
Volume: Epub
Issue: 5
Pages: 1-1
DOI
Related Report
Peer Reviewed / Open Access
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