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

hum0004-v1Release info

Latest

Research title

Molecular Epidemiological Study of Somatic Mutation Profiles of EGFR Mutation Positive Lung Adenocarcinoma

Research overview

Aims: Molecular epidemiological study of somatic mutation profiles of epidermal growth factor receptor: EGFR mutation-positive lung adenocarcinoma
Methods: Whole Genome Sequence (Illumina [Genome Analyzer IIx])
Participants/materials: 97 Japanese lung adenocarcinoma patients as tumor-normal pairs.
URL: N/A

Datasets

Cart	Dataset ID	Type of data	Analysis method	Access criteria	Date published
	JGAD000001	NGS (Exome)	WES	Controlled-access (Type I)	2020-09-28

Data provider

Principal investigator: Koichi Goto
Affiliation: Thoracic Oncology Division, the National Cancer Center Hospital East

Research projects

Name	URL
Division of Translational Informatics, the Exploratory Oncology Research & Clinical Trial Center, the National Cancer Center	https://www.ncc.go.jp/en/epoc/division/translational_informatics/kashiwa/index.html (opens in a new tab)

Grants

Name	Title	Project number
KAKENHI Grant-in-Aid for Scientific Research (B)	Searching for kinases related to lung cancer based on genomic analysis for lung adenocarcinoma	24300345

Related publications

Title	DOI	Dataset ID
Identification and characterization of cancer mutations in Japanese lung adenocarcinoma without sequencing of normal tissue counterparts.	https://doi.org/10.1371/journal.pone.0073484 (opens in a new tab)	JGAD000001
Clinicopathological characteristics of EGFR mutated adenosquamous carcinoma of the lung.	https://doi.org/10.1111/pin.12033 (opens in a new tab)	N/A
Immunohistochemical and genetic characteristics of lung cancer mimicking organizing pneumonia.	https://doi.org/10.1016/j.lungcan.2017.10.001 (opens in a new tab)	N/A
Podoplanin-positive cancer-associated fibroblast recruitment within cancer stroma is associated with a higher number of single nucleotide variants in cancer cells in lung adenocarcinoma.	https://doi.org/10.1007/s00432-018-2619-3 (opens in a new tab)	N/A
Characterization of the tumor immune-microenvironment of lung adenocarcinoma associated with usual interstitial pneumonia.	https://doi.org/10.1016/j.lungcan.2018.11.006 (opens in a new tab)	N/A

Controlled access users

Principal investigator	Affiliation	Country/Region	Research title	Period of data use	Dataset ID
Youping Deng	Department of Complementary & Integrative Medicine, University of Hawaii Manoa	Hawaii, United States	Identification of driver genes and somatic mutations for lung cancer diagnosis and prognosis	2018-10-04 – 2029-07-10	JGAD000001
Hirofumi Nakaoka	Department of Cancer Genome Research, Sasaki Institute	Japan	Genetic analysis of lung cancer	2022-08-17 – 2026-07-23	JGAD000001