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

• Project/Area Number: 18K08602
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 55010:General surgery and pediatric surgery-related
• Research Institution: Teikyo 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: ¥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。

Research Products

• [Journal Article] Breast cancer survival among Japanese individuals and US residents of Japanese and other origins: a comparative registry-based study. (2020)
  • 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: 585-596
  • DOI: 10.1007/s10549-020-05869-y
  • 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 study (2019)
  • 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: 647-656
  • DOI: 10.1007/s10549-019-05413-7
  • Peer Reviewed / Open Access
• [Journal Article] Efficacy of Scalp Cooling in Preventing and Recovering From Chemotherapy-Induced Alopecia in Breast Cancer Patients: The HOPE Study (2019)
  • 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 Pages: 733-733
  • DOI: 10.3389/fonc.2019.00733
  • Peer Reviewed / Open Access
• [Journal Article] Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination (2019)
  • 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: 591-601
  • DOI: 10.1007/s10549-019-05330-9
  • Peer Reviewed / Open Access
• [Journal Article] A novel nipple?areola complex involvement predictive index for indicating nipple-sparing mastectomy in breast cancer patients (2019)
  • 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: 808-816
  • DOI: 10.1007/s12282-019-00987-y
  • Peer Reviewed / Open Access
• [Journal Article] Establishment of a model of sentinel lymph node metastasis using immunodeficient swine (2019)
  • 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
  • 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
• [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
  • 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)
  • 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
  • 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
  • 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
  • Int'l Joint Research