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

hum0118-v1Release info

Latest

Research title

Genome-wide analysis for biomarker exploration (endometrial cancer)

Research overview

Aims: exploration of biomarkers discriminating lymph node metastasis in endometrial cancers
Methods: CAGE (Cap Analysis of Gene Expression), Sanger sequencing
Participants/materials: surgically dissected tumor tissues from 17 endometrial cancer patients
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000135	NGS (CAGE-seq) Sanger sequencing	CAGE-seq Sanger sequencing	Controlled-access (Type I)	2020-09-28

Data provider

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

Research projects

Name	URL
Genome-wide exploration for biomarkers in endometrial cancer by using CAGE (Yasuhisa Terao, Juntendo University)	N/A

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Scientific Research (C)	Exploration of biomarkers to predict lymph node metastasis in endometrial cancer by using CAGE	15K10732
Research Grant to 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

Related publications

Title	DOI	Dataset ID
Promoter-level transcriptome in primary lesions of endometrial cancer identified biomarkers associated with lymph node metastasis.	https://doi.org/10.1038/s41598-017-14418-5 (opens in a new tab)	JGAD000135

Controlled access users

No use of the controlled access data has been recorded.