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Development of breast cancer predection model using IgGFc N-glycosylation

Research Project

Project/Area Number 17K16505
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field General surgery
Research InstitutionKyoto University

Principal Investigator

Kawaguchi Nobuko  京都大学, 医学研究科, 特定病院助教 (60771540)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Keywords乳癌 / IgG糖鎖 / 診断予測モデル / バイオマーカー / 血清IgGN型糖鎖 / 糖鎖 / 癌 / トランスレーショナルリサーチ / 免疫学
Outline of Final Research Achievements

Early detection of breast cancer can result in lower recurrence after surgery. However, today, just half of the breast cancer cases are diagnosed with stage 0 and stage I, therefore development of an easy and highly sensitive diagnostic method is required for early detection. The purpose of this study was to verify a breast cancer prediction model using serum IgG glycosylation developed in a pilot study. First, stability of the IgG sugar chains was confirmed because stability of the target to detect is essential for future clinical application. Next, IgG sugar chains were measured in the verification cohort. At present the prediction model is being improved based on these data, and it is considered that the prediction model using IgG glycosylation will be a promising candidate as an easy and sensitive diagnostic method.

Academic Significance and Societal Importance of the Research Achievements

簡便で感度のよい診断方法は早期診断に有用であり、乳癌では早期発見により手術での高い治癒率が期待でき、患者の負担が大きい抗がん剤治療をせずに済む可能性も高くなる。IgG糖鎖を用いた予測モデルの研究は簡便で感度のよい診断方法開発の第一歩であると考えられる。また学術的には本研究での結果はIgG糖鎖が乳癌の病態に関与している可能性を示しており、その機序を解明することで、IgGN型糖鎖に関与する免疫反応を治療標的やバイオマーカーとするような新規分野を開拓できると考えられる。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (3 results)

All 2018 2017

All Presentation (3 results) (of which Int'l Joint Research: 1 results)

  • [Presentation] MALDI-MSによる血清IgGN型糖鎖修飾プロファイリングを用いた乳がんの診断予測2018

    • Author(s)
      川口展子
    • Organizer
      第56回日本癌治療学会学術集会
    • Related Report
      2018 Research-status Report
  • [Presentation] Stability of serum IgG Fc N-glycosylation profiling, a promising biomarker for breast cancer diagnosis2017

    • Author(s)
      Kawaguchi-Sakita N, Nishikaze T, Sekiya S, Sugimoto M, Kojima K, Kawashima M, Tokiwa M, Suzuki E, Toi M.
    • Organizer
      GBCC2017
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 乳癌診断予測に有望である血清中IgGFcN型糖鎖の安定性について2017

    • Author(s)
      川口展子、川島 雅央、常盤麻里子、戸井 雅和
    • Organizer
      乳癌学会2017
    • Related Report
      2017 Research-status Report

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Published: 2017-04-28   Modified: 2021-02-19  

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