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

hum0066-v1Release info

Latest

Research title

Investigating the mechanisms of tumor recurrence and metastasis by non-coding RNA

Research overview

Aims: Investigating a genomic-level intratumor heterogeneity in colorectal carcinoma
Methods: DNA were extracted from multiregional tumor samples and performed a whole exome sequencing analysis
Participants/materials: Samples which obtained during surgery from patients who underwent radical resection of primary and/or liver metastatic tumors
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000060	NGS (Exome)	WES	Controlled-access (Type I)	2020-09-28

Data provider

Principal investigator: Koshi Mimori
Affiliation: Department of Surgery, Kyushu University Beppu Hospital

Research projects

No research projects.

Grants

Name	Title	Project number
Funding Program for Next Generation World-Leading Researchers (NEXT Program)	Investigating mechanism of tumor recurrence and metastasis by non-coding RNA	LS094
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas	Systems Cancer Research	4201
Strategic Programs for Innovative Research (SPIRE) Field 1	Supercomputational Life Science	25861199
HPCI Strategic Programs for Innovative Research (SPIRE) Field 1	Supercomputational Life Science	SCLS課題4

Related publications

Title	DOI	Dataset ID
Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution.	https://doi.org/10.1371/journal.pgen.1005778 (opens in a new tab)	JGAD000060

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Christina Curtis	Stanford University	California, United States	Analysis of multi-region sequencing data to delineate patterns of tumor heterogeneity	2016-08-05 – 2023-07-13	JGAD000060
Kouya Shiraishi	Division of Genome Biology, National Cancer Research Institute	Japan	Elucidation of immune-system networks between host and tumor based on genomic analysis	2019-08-05 – 2029-03-31	JGAD000060
Ruping Sun	Department of laboratory medicine and pathology, University of Minnesota	Minnesota, United States	Accounting for Copy Number States in Quantifying Tumor Heterogeneity	2020-03-19 – 2023-01-16	JGAD000060