• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2023 Fiscal Year Final Research Report

Development of a cancer fibrosis inhibition immunotherapy in breast cancer using Hedgehog signaling inhibitor

Research Project

  • PDF
Project/Area Number 21K08673
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 InstitutionKyushu University

Principal Investigator

OYAMA Yasuhiro  九州大学, 医学研究院, 共同研究員 (10892680)

Co-Investigator(Kenkyū-buntansha) 大西 秀哉  九州大学, 医学研究院, 准教授 (30553276)
久保 真  九州大学, 医学研究院, 准教授 (60403961)
山崎 章生  九州大学, 医学研究院, 共同研究員 (80404440)
永井 俊太郎  九州大学, 医学研究院, 共同研究員 (90755240)
Project Period (FY) 2021-04-01 – 2024-03-31
Keywords乳がん / 癌線維化 / Hedgehogシグナル / 腫瘍浸潤リンパ球 / 細胞傷害性リンパ球 / 抗腫瘍効果 / 癌微小環境 / スキルスタイプ
Outline of Final Research Achievements

In this study, we focused to the fibrosis of the breast cancer and evaluated whether Hedgehog (Hh) signaling inhibitor may decrease the fibrosis of the breast cancer as well as pancreatic cancer and whether the infiltration of lymphocytes to cancer tissue and anti tumor-effect may increase. However, we revealed that the fibrosis of fibroblast could not decrease by Hh inhibitor in MCF-7 cell line even in repeated experiments. Therefore, the experiments using other breast cancer cell lines are being performed. On the other hand, HLA-restricted allo CTL could be successfully induced. We will proceed the next step of therapy experiment using immunosuppressing mice as soon as we detect the useful cell line.

Free Research Field

腫瘍免疫学

Academic Significance and Societal Importance of the Research Achievements

Hedgehogシグナル阻害剤が乳癌の線維化を抑制し、それに伴い、免疫細胞の癌組織流入を亢進させ抗腫瘍効果につながる結果が得られれば、1)細胞性免疫惹起による免疫寛容状態の改善に寄与する。また、2)抗PD-1抗体などの免疫チェックポイント阻害剤の奏功率向上に寄与(複合免疫療法)し、今後、乳癌の治療オプションが増える可能性がある。さらに、3)乳癌線維化抑制に伴い、薬剤の組織内への浸透が増加し薬剤感受性が亢進する可能性があり、Hh阻害剤と各種抗癌剤あるいは分子標的薬との併用療法の研究にも新たな道を開くことが期待される。

URL: 

Published: 2025-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi