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

2023 Fiscal Year Final Research Report

Development of an innovative platform for identification of immunogenic cancer antigens

Research Project

  • PDF
Project/Area Number 20K21556
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Review Section Medium-sized Section 50:Oncology and related fields
Research InstitutionAichi Cancer Center Research Institute

Principal Investigator

Taguchi Ayumu  愛知県がんセンター(研究所), 分子診断TR分野, 分野長 (50817567)

Co-Investigator(Kenkyū-buntansha) 松下 博和  愛知県がんセンター(研究所), 腫瘍免疫制御TR分野, 分野長 (80597782)
山口 類  愛知県がんセンター(研究所), システム解析学分野, 分野長 (90380675)
Project Period (FY) 2020-07-30 – 2024-03-31
Keywords難治がん / がん抗原 / 個別化がんワクチン / プロテオミクス / HLAクラスI結合ペプチド / 自己抗体結合抗原 / PDXモデル / 患者由来細胞
Outline of Final Research Achievements

In order to develop effective personalized cancer immunotherapy, it is crucial to identify a greater number of highly immunogenic cancer antigens. In this study, we will develop a highly sensitive analytical pipeline for HLA class I molecule-binding peptides (HLA-I ligandome) based on proteogenomics and in-depth proteome analysis for plasma immunoglobulin (Ig)-bound proteins as a consequence of humoral immune response induced by HLA class II ligands. Through integrating these two platforms, we will construct an innovative cancer antigen identification system that can accurately identify highly immunogenic cancer antigens, which are presented on the surface of cancer cells as HLA class I molecule-binding peptides, and which can induce humoral immune responses in vivo.

Free Research Field

分子診断学

Academic Significance and Societal Importance of the Research Achievements

がんワクチン療法は、従来のがん治療法と比較して副作用が少ないことから、本研究で開発する革新的ながん抗原同定システムによってより効果の高い完全個別化がんワクチン療法が可能になれば、肺がん、食道がん、胃がんなどでは免疫チェックポイント阻害剤と併用した複合的個別化がん免疫療法による治療成績向上が期待でき、また膵がんなど免疫チェックポイント阻害剤単独では奏功しない難治がんにおいても、複合的免疫治療のパラダイムシフトにつながることが期待できる。

URL: 

Published: 2025-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi