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

Analysis of molecular factor to influence of immuno-checkpoint inhibitor in lung cancer treatment

Research Project

Project/Area Number 16K09548
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Respiratory organ internal medicine
Research InstitutionKyoto Prefectural University of Medicine

Principal Investigator

Takayama Koichi  京都府立医科大学, 医学(系)研究科(研究院), 教授 (50274444)

Co-Investigator(Kenkyū-buntansha) 井上 匡美  京都府立医科大学, 医学(系)研究科(研究院), 教授 (10379232)
金子 美子  京都府立医科大学, 医学(系)研究科(研究院), 助教 (30768825)
竹村 佳純  京都府立医科大学, 医学(系)研究科(研究院), 助教 (50434684)
Research Collaborator TANIMURA KEIKO  
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords肺癌 / 免疫チェックポイント阻害剤 / 効果予測因子 / リンパ球浸潤 / p53蛋白発現 / 免疫チェックポイント
Outline of Final Research Achievements

The aim of this study is to finding the predictive marker for immune-checkpoint inhibitor in cancer treatment. Surgically resected lung cancer specimens were used to evaluate the tumor factors including p53, PD-L1 and VEGF. Also, tumor infiltrating lymphocytes (TIL) were calculated by image analyzer automatically. Cytotoxic T-lymphocyte and regulatory T-lymphocyte were identified by immunohistochemical staining by CD8 antibody and Foxp3 antibody, respectively. In result, TIL were not associated with p53 or VEGF expression. However, tumor PD-L1 expression is associated with Foxp3 positive T-lymphocyte, suggesting regulatory T-lymphocyte induction by PD-L1.

Academic Significance and Societal Importance of the Research Achievements

免疫チェックポイント阻害剤は現在肺癌だけでなく、多くの癌の治療に広く使用されている。その有効性を予測する因子としてPD-L1の発現が用いられているが、高発現例でも効果を全く認めない場合もあり、より正確なバイオマーカーが求められている。新規バイオマーカーが発見されれば、有効性が期待できる患者にのみ同薬剤を使用することで、無駄な治療を避けることができ、医療経済の効率化にもつながる。

Report

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

URL: 

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

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi