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Prediction of postoperative liver regeneration from clinical information using a data-led mathematical model

Research Project

Project/Area Number 16K10584
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Digestive surgery
Research InstitutionOsaka Medical College

Principal Investigator

Yamamoto Kimiyo  大阪医科大学, 医学部, 非常勤講師 (70611078)

Co-Investigator(Kenkyū-buntansha) 波江野 洋  国立研究開発法人国立がん研究センター, 先端医療開発センター, 特任研究員 (70706754)
内山 和久  大阪医科大学, 医学部, 教授 (80232867)
Research Collaborator INOUE Yoshihiro  
ISHII Masatsugu  
NAKAMURA Akira  
Michor Franziska  
MacArthur Ben D.  
Hur Chin  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords数理モデル / 肝臓再生モデル / 肝再生モデル / 肝臓外科
Outline of Final Research Achievements

The paper published by the support from this grant adopted a combined clinical and theoretical approach for the goals of identifying successful/unsuccessful candidates for liver resection and monitoring post-hepatectomy liver regeneration. This translational approach was achieved by establishing a novel logistic growth framework with two carrying capacities of successful/unsuccessful liver regeneration. The study predicted whether the liver of a patient will succeed in recovering, with accuracies as high as 84-88% in both of a training cohort with cross validation and a separate validation cohort by utilizing the mathematical tool. We also proposed a powerful criteria to identify potential clinical predictors for successful liver resection and to predict the time course of liver regeneration.

Academic Significance and Societal Importance of the Research Achievements

当研究で出版した論文では、肝臓再生の定量的予測や術前の治療見込み予測を示唆できることを示した。これらの情報は、肝切除を要する症例の治療に当たって決定的因子であり、本研究の臨床還元によるインパクトは絶大である。また、当研究に適用された数理学分析手法は、生命現象の本質を数理モデルとして捉えるという目的で、生態学や水産学などといった様々な領域で応用されつつあるが、医学領域との融合は少ない。当研究成果は、数理学分析手法を医学に応用し医学の進歩へ新展開をもたらしたという学術的意義を持つ。また臨床現場にて、特殊な設備導入など必要とせず、しかも高い汎用性を持つ手法を開発した、という点で社会的意義を持つ。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (8 results)

All 2018 2017 2016 Other

All Int'l Joint Research (1 results) Journal Article (5 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 5 results,  Open Access: 2 results,  Acknowledgement Compliant: 2 results) Presentation (2 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Int'l Joint Research] Harvard University/Massachusetts general hospital/Johns Hopkins University(米国)

    • Related Report
      2018 Annual Research Report
  • [Journal Article] KDM5 Histone Demethylase Activity Links Cellular Transcriptomic Heterogeneity to Therapeutic Resistance.2018

    • Author(s)
      Hinohara K, Wu HJ, Sebastien Vigneau, McDonald TO, Igarashi KJ, Yamamoto KN, Madsen T, Fassl A, Egri SB, Papanastasiou M, Ding L, Peluffo G, Cohen O, Kales SC, Lal-Nag M, Rai G, Maloney DJ, Jadhav A, Simeonov A, Wagle N, Brown M, Meissner A, Sicinski P, Jaffe JD, Jeselsohn R, Gimelbrant AA, Michor F, Polyak K.
    • Journal Title

      Cancer Cell

      Volume: 34 Issue: 6 Pages: 939-953

    • DOI

      10.1016/j.ccell.2018.10.014

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Mathematical modeling identifies optimum lapatinib dosing schedules for the treatment of glioblastoma patients2018

    • Author(s)
      Stein Shayna、Zhao Rui、Haeno Hiroshi、Vivanco Igor、Michor Franziska
    • Journal Title

      PLOS Computational Biology

      Volume: 14 Issue: 1 Pages: e1005924-e1005924

    • DOI

      10.1371/journal.pcbi.1005924

    • Related Report
      2018 Annual Research Report 2017 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Personalized Management of Pancreatic Ductal Adenocarcinoma Patients through Computational Modeling.2017

    • Author(s)
      Yamamoto KN, Yachida S, Nakamura A, Niida A, Oshima M, De S, Rosati LM, Herman JM, Iacobuzio-Donahue CA, Haeno H.
    • Journal Title

      Cancer Res.

      Volume: 77 Issue: 12 Pages: 3325-3335

    • DOI

      10.1158/0008-5472.can-16-1208

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Personalized Management of Pancreatic Ductal Adenocarcinoma Patients Through Computational Modeling2017

    • Author(s)
      Kimiyo N Yamamoto, Shinichi Yachida, Akira Nakamura, Atsushi Niida, Minoru Oshima, Subhajyoti De, Lauren M Rosati, Joseph M. Herman, Christine A Iacobuzio-Donahue and Hiroshi Haeno
    • Journal Title

      Cancer research

      Volume: ―

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
  • [Journal Article] Prediction of postoperative liver regeneration from clinical information using a data-led mathematical model.2016

    • Author(s)
      Yamamoto KN Ishii M, Inoue Y, Hirokawa F, MacArthur BD, Nakamura A, Haeno H, Uchiyama K.
    • Journal Title

      Scientific Reports

      Volume: 6 Issue: 1 Pages: 34214-34214

    • DOI

      10.1038/srep34214

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
  • [Presentation] Personalized Management of Pancreatic Ductal Adenocarcinoma Patients through Computational Modeling.2017

    • Author(s)
      Kimiyo N. Yamamoto
    • Organizer
      Physical Sciences in Oncology in US
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Prediction of postoperative liver regeneration from clinical information using a data-led mathematical model.2016

    • Author(s)
      山本君代
    • Organizer
      Japan Society of Mathematical Biology
    • Place of Presentation
      九州大学(福岡県福岡市)
    • Year and Date
      2016-09-07
    • Related Report
      2016 Research-status Report
    • Invited

URL: 

Published: 2016-04-21   Modified: 2020-03-30  

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