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Identification of potential serum biomarkers for the prediction of chemotherapy effect in breast cancer patients

Research Project

Project/Area Number 18K08602
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 55010:General surgery and pediatric surgery-related
Research InstitutionTeikyo University

Principal Investigator

Jinno Hiromitsu  帝京大学, 医学部, 教授 (20216261)

Co-Investigator(Kenkyū-buntansha) 砂村 眞琴  東京医科大学, 医学部, 兼任教授 (10201584)
杉本 昌弘  東京医科大学, 医学部, 教授 (30458963)
Project Period (FY) 2018-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords乳癌 / 血液 / 診断 / メタボローム / マルチオミックス
Outline of Final Research Achievements

We conducted comprehensive metabolite analysis of serum samples obtained from 66 breast cancer patients who had neoadjuvant chemotherapy, using capillary electrophoresis time-of-flight-mass spectrometry (CE-TOF-MS). 16 luminal, 33 HER2, and 17 tiple negative breast cancer were included. Pathological complete response (pCR) was found in 30 cases. One metabolite, 3-Indoxylsulfate was tended to be lower concentrations in pCR patients compared with non-pCR patients.

Academic Significance and Societal Importance of the Research Achievements

メタボローム解析によって得られた効果予測マーカーを臨床情報と合わせて解析することにより、定量的かつ客観的な指標で癌を特徴化することができれば、化学療法の個別化や、さらには予後予測などへの活用も期待できる。医療の標準化で陥りやすい過剰医療を防ぎ、個別医療化に向けたマーカーを同時に探す研究例は、学術的な成果だけでなく、医療経済的なインパクトが高い。

Report

(6 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (12 results)

All 2020 2019

All Journal Article (6 results) (of which Peer Reviewed: 6 results,  Open Access: 6 results) Presentation (6 results) (of which Int'l Joint Research: 5 results)

  • [Journal Article] Breast cancer survival among Japanese individuals and US residents of Japanese and other origins: a comparative registry-based study2020

    • Author(s)
      1.Ogiya R, Niikura N, Kumamaru H, Takeuchi Y, Okamura T, Kinoshita T, Aogi K, Anan K, Iijima K, Ishida T, Iwamoto T, Kawai M, Kojima Y, Sakatani T, Sagara Y, Hayashi N, Masuoka H, Yoshida M, Miyata H, Tsuda H, Imoto S, Jinno H.
    • Journal Title

      Breast cancer research and treatment

      Volume: 184 Issue: 2 Pages: 585

    • DOI

      10.1007/s10549-020-05869-y

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] A population-based recurrence risk management study of patients with pT1 node-negative HER2+ breast cancer: a National Clinical Database study2019

    • Author(s)
      Kubo Makoto、Kawai Masaaki、Kumamaru Hiraku、Miyata Hiroaki、Tamura Kenji、Yoshida Masayuki、Ogo Etsuyo、Nagahashi Masayuki、Asaga Sota、Kojima Yasuyuki、Kadoya Takayuki、Aogi Kenjiro、Niikura Naoki、Miyashita Minoru、Iijima Kotaro、Hayashi Naoki、Yamamoto Yutaka、Imoto Shigeru、Jinno Hiromitsu
    • Journal Title

      Breast Cancer Research and Treatment

      Volume: 178 Issue: 3 Pages: 647

    • DOI

      10.1007/s10549-019-05413-7

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Efficacy of scalp cooling in preventing and recovering from chemotherapy-induced alopecia in breast cancer patients: The HOPE study2019

    • Author(s)
      Kinoshita Takayuki、Nakayama Takahiro、Fukuma Eisuke、Inokuchi Masafumi、Ishiguro Hiroshi、Ogo Etsuyo、Kikuchi Mari、Jinno Hiromitsu、Yamazaki Naoya、Toi Masakazu
    • Journal Title

      Frontiers in Oncology

      Volume: 9 Issue: AUG Pages: 733-733

    • DOI

      10.3389/fonc.2019.00733

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination2019

    • Author(s)
      Murata Takeshi、Yanagisawa Takako、Kurihara Toshiaki、Kaneko Miku、Ota Sana、Enomoto Ayame、Tomita Masaru、Sugimoto Masahiro、Sunamura Makoto、Hayashida Tetsu、Kitagawa Yuko、Jinno Hiromitsu
    • Journal Title

      Breast Cancer Research and Treatment

      Volume: 177 Issue: 3 Pages: 591

    • DOI

      10.1007/s10549-019-05330-9

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] A novel nipple–areola complex involvement predictive index for indicating nipple-sparing mastectomy in breast cancer patients2019

    • Author(s)
      Seki Hirohito、Sakurai Takashi、Mizuno Shodai、Tokuda Toshiki、Kaburagi Takuji、Seki Minako、Karahashi Tsuyoshi、Nakajima Kenichiro、Shimizu Ken、Jinno Hiromitsu
    • Journal Title

      Breast Cancer

      Volume: 26 Issue: 6 Pages: 808

    • DOI

      10.1007/s12282-019-00987-y

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Establishment of a model of sentinel lymph node metastasis using immunodeficient swine2019

    • Author(s)
      Kurihara Toshiaki、Matsuda Sachiko、Nakamura Yuki、Suzuki Shunichi、Fuchimoto Daiichiro、Onishi Akira、Saeki Kohei、Nakagawa Takayuki、Fujiwara Reina、Kamata Masatoshi、Kuramoto Junko、Kameyama Kaori、Sekino Masaki、Kusakabe Moriaki、Hayashida Tetsu、Jinno Hiromitsu、Kitagawa Yuko
    • Journal Title

      Scientific Reports

      Volume: 9 Issue: 1 Pages: 7923-7923

    • DOI

      10.1038/s41598-019-44171-w

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] 人工知能を用いた唾液メタボローム解析による乳癌スクリーニング2020

    • Author(s)
      村田 健, 柳澤 貴子, 栗原 俊明, 杉本 昌弘, 砂村 眞琴, 林田 哲, 神野 浩光, 北川 雄光
    • Organizer
      第120回日本外科学会定期学術集会
    • Related Report
      2020 Research-status Report
  • [Presentation] Predicting Axillary Pathologic response to Neoadjuvant Chemotherapy for Node-Positive Breast Cancer: Clinical predictive model by Using MRI and Ultrasound.2020

    • Author(s)
      Akiko Matsumoto, Saki Naruse, Yuka Sugihara, Miki Yamada, Daisuke Tsukahara, Yasuko Umemoto, Hiromitsu Jinno.
    • Organizer
      San Antonio Breast Cancer Symposium
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Omission of Axillary Dissection after Neoadjuvant Chemotherapy for Node-Positive Primary Breast Cancer.2020

    • Author(s)
      Akiko Matsumoto, Ayana Sato, Miki Yamada, Yasuko Umemoto, Daisuke Tsukahara, Hiromitsu Jinno.
    • Organizer
      European Breast Cancer Conference (EBCC 12)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Validity of omission of axillary lymph node dissection after neoadjuvant chemotherapy for node-positive primary breast cancer.2019

    • Author(s)
      A. Matsumoto, Y. Umemoto, D Tsukahara, H. Jinno .
    • Organizer
      San Antonio Breast Cancer Symposium 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Validity and Safety of Omission of Axillary Lymph Node Dissection after Neoadjuvant Chemotherapy for Node-Positive Primary Breast Cancer.2019

    • Author(s)
      A. Matsumoto, Y. Umemoto, H. Jinno .
    • Organizer
      ACS Clinical Congress 2019
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Machine learning methods with salivary metabolomics for breast cancer detection.2019

    • Author(s)
      129.T Murata, T Yanagisawa, T Kurihara, M Kaneko, S Ota, A Enomoto, M Tomita, M M Sugimoto, M Sunamura, T Hayashida, H Jinno, Y Kitagawa.
    • Organizer
      2019 ASCO Annual Meeting
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research

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Published: 2018-04-23   Modified: 2024-01-30  

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