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2016 Fiscal Year Final Research Report

Development of novel molecular diagnosis methods of lung cancer by proteomic signature

Research Project

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Project/Area Number 25640076
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Tumor diagnostics
Research InstitutionNagoya University

Principal Investigator

Yanagisawa Kiyoshi  名古屋大学, 医学系研究科, 講師 (20372112)

Project Period (FY) 2013-04-01 – 2017-03-31
Keywords肺癌 / プロテオミクス / 分子診断
Outline of Final Research Achievements

We obtained protein expression profiles from both lung cancer and normal lung specimens. Based upon the information as well as clinical information, we conducted bioinformatic analyses. The resulting proteomic signature could accurately predict both disease-free and overall survival. Accordingly, we have discovered a proteomic signature that can distinguish NSCLC patients with a high risk from those with a favorable prognosis.

Free Research Field

分子腫瘍学

URL: 

Published: 2018-03-22  

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