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

2015 Fiscal Year Final Research Report

Establishment of quantitation method for proteome-based phospho-signaling pathway and its application for prediction of drug effect monitoring

Research Project

  • PDF
Project/Area Number 25290054
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypePartial Multi-year Fund
Section一般
Research Field Tumor diagnostics
Research InstitutionNational Institutes of Biomedical Innovation, Health and Nutrition

Principal Investigator

Tomonaga Takeshi  国立研究開発法人医薬基盤・健康・栄養研究所, プロテオームリサーチプロジェクト, プロジェクトリーダー (80227644)

Co-Investigator(Kenkyū-buntansha) ISHIHAMA Yasushi  京都大学, 薬学部, 教授 (30439244)
MATSUBARA Hisahiro  千葉大学, 医学研究院, 教授 (20282486)
Co-Investigator(Renkei-kenkyūsha) NAGAYAMA Satoshi  公益財団法人がん研究会, 有明病院消化器外科, 医長 (70362499)
Project Period (FY) 2013-04-01 – 2016-03-31
Keywordsリン酸化プロテオミクス / 薬効予測 / EGFR阻害剤 / 肺がん
Outline of Final Research Achievements

Molecular target drugs such as kinase inhibitors for cancer treatment are not uniformly clinically effective, thus sorting the patients that will benefit from the treatments is critical. Moreover, acquired resistance for the drugs is also a critical problem. Therefore, the identification of mechanisms underlying the resistance is urgent need. Systematic quantification of kinase activation is potentially predictive of the response of kinase inhibitors and it can be quantitated by phosphorylation level of their substrates. In this study, we developed a large-scale phosphoproteome quantification method for the kinase substrates and applied for prediction of the kinase activities and drug response. We also examined the mechanism of drug resistance. By the phosphoproteome analysis of several lung cancer cell lines which are sensitive or resistant for the drug currently used in clinic, erlotinib, we identified several phosphoproteins and kinases which are able to predict drug sensitivity.

Free Research Field

プロテオミクス 分子腫瘍学

URL: 

Published: 2017-05-10  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi