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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0083-v2Release info

Latest

Research title

Genome-wide analysis for biomarker exploration (lung cancer)

Research overview

Aims: exploration of biomarkers discriminating squamous cell carcinoma from other lung cancers
Methods: CAGE (Cap Analysis of Gene Expression)
Participants/materials: 97 + 48 surgically dissected tissues
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000070	NGS (CAGE-seq)	CAGE-seq	Controlled-access (Type I)	2020-09-28
	JGAD000605	NGS (CAGE-seq)	CAGE-seq	Controlled-access (Type I)	2022-01-11

Data provider

Principal investigator: Yoshihide Hayashizaki
Affiliation: RIKEN Preventive Medicine and Diagnosis Innovation Program

Principal investigator: Yasushi Kogo
Affiliation: RIKEN Cluster for Science, Technology and Innovation Hub

Research projects

Name	URL
Genome-wide exploration for biomarkers in thoracic malignant tumors by using CAGE (Kazuya Takamochi, Juntendo University)	N/A

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Scientific Research (C)	Exploration of biomarkers specific to lung squamous cell carcinoma by using CAGE	25462185
Smoking Research Foundation	Biomarker exploration and database development for personalized medicine against lung tumor	N/A
Research Grant for RIKEN Omics Science Center from MEXT	N/A	N/A
Research Grant to RIKEN Preventive Medicine and Diagnosis Innovation Program from MEXT	N/A	N/A
Basis for Supporting Innovative Drug Discovery and Life Science Research (BINDS), Japan Agency for Medical Research and Development (AMED)	Platform for Drug Discovery, Informatics, and Structural Life Science	N/A

Related publications

Title	DOI	Dataset ID
Novel biomarkers that assist in accurate discrimination of squamous cell carcinoma from adenocarcinoma of the lung	https://doi.org/10.1186/s12885-016-2792-1 (opens in a new tab)	JGAD000070 JGAD000605

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Masafumi Horie	Division for Health Service Promotion, The University of Tokyo	Japan	Exploration of novel biomarkers of NSCLC using CAGE seq.	2017-01-11 – 2017-08-18	JGAD000070