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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

hum0357-v6Release info

Latest

Research title

Research for biological features by gene expression analysis and biomarkers at diagnosis/therapeutics in lung cancer

Research overview

Aims
To develop new treatments for pulmonary diseases by using NGS analyses data
Methods
Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), ATAC-seq, and methylation array analyses with DNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum, and peripheral blood samples of patients. RNA-seq and single cell RNA-seq analyses with RNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum, normal lung organoids and peripheral blood samples of patients.
Participants/materials
Lung cancer
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000678NGS (WGS)
NGS (Exome)
NGS (RNA-seq)
NGS (ATAC-seq)
Methylation array
  • WGS
  • WES
  • RNA-seq
Controlled-access (Type I)2022-11-02
JGAD000738NGS (Exome)
NGS (RNA-seq)
NGS (ATAC-seq)
  • WES
  • RNA-seq
  • ATAC-seq
Controlled-access (Type I)2023-08-08
JGAD000739NGS (Exome)
NGS (RNA-seq)
NGS (ATAC-seq)
  • WES
  • RNA-seq
  • scRNA-seq
  • ATAC-seq
Controlled-access (Type I)2023-08-08

Data provider

Principal investigator
Hiroyuki Yasuda
Affiliation
Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)
Clarification of heterogeneity of lung cancer and identification of novel therapeutic targets using lung cancer organoid library
  • JP21cm0106576
Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED)
Clarification of molecular mechanisms creating phenotypic diversity of lung cancer using patient-derived organoid library
  • JP22ck0106722
KAKENHI Grant-in-Aid for Scientific Research (B)
Clarification of signal alteration mechanisims of lung cancer using lung cancer organoid library
  • 21H02765
KAKENHI Grant-in-Aid for Scientific Research (C)
Establishment of lung cancer and normal lung organoid library
  • 19K08610
KAKENHI Grant-in-Aid for Scientific Research (C)
Clarification of carcinogenesis process of small cell lung cancer using patient-derived organoid library
  • 22K08290

Related publications

TitleDOIDataset ID
Genotype-phenotype mapping of a patient-derived lung cancer organoid biobank identifies NKX2-1-defined Wnt dependency in lung adenocarcinoma
https://doi.org/10.1016/j.celrep.2023.112212 (opens in a new tab)
An organoid library unveils subtype-specific IGF-1 dependency via a YAP-AP1 axis in human small cell lung cancer
https://doi.org/10.1038/s43018-025-00945-y (opens in a new tab)
Basal-shift transformation leads to EGFR therapy-resistance in human lung adenocarcinoma
https://doi.org/10.1038/s41467-025-59623-3 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Hiroyuki YasudaDepartment of Pulmonary Medicine, Keio University School of MedicineJapanResearch for biological features by gene expression analysis and biomarkers at diagnosis/therapeutics in lung cancer2025-05-20 – 2028-03-31
David OlagnierAarhus UniversityKEAP1 mutation creates a niche for oncovirotherapy by impairing constitute antiviral immunity in lung cancer 2025-12-01 – 2027-01-01