Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
Schedule: October 5th (Mon), 2026, 9:00 - October 7th (Wed), 2026, 15:00 (JST)
We apologize for any inconvenience this may cause and appreciate your understanding.

We are currently receiving a large number of applications for data submission, and the review process is taking longer than usual.We sincerely apologize for the delay and kindly ask for your understanding. When submitting an application, we would greatly appreciate it if you could allow sufficient time for the processing.

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

hum0262-v1Release info

Latest

Research title

Identification of biomarkers for prediction of efficacy of microtubule inhibitors and antifolates in non-small cell lung cancer

Research overview

Aims: Identification of predictive markers based on transcriptome modules for microtubule inhibitors of lung adenocarcinoma patients
Methods: RNA sequencing
Participants/materials: Lung Adenocarcinoma, 24 cases
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000370	NGS (RNA-seq)	RNA-seq	Controlled-access (Type I)	2021-05-10

Data provider

Principal investigator: Katsuya Tsuchihara
Affiliation: Division of Tranaslational Research, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center

Research projects

No research projects.

Grants

Name	Title	Project number
Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED)	Precision medicine of advanced lung cancer based on Pan-Japan clinical sequencing data	JP19ck0106255
KAKENHI Grant-in-Aid for Scientific Research on Priority Areas (Research in a proposed research area)	Development of the next generation transcriptome analysis and its application	17H06306

Related publications

No related publications.

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Michiaki Hamada	Hamada Laboratory, Faculty of Science and Engineering, Waseda University	Japan	Construction of RNA-targeted Drug Discovery Database	2023-01-05 – 2027-10-31	JGAD000370