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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)
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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

hum0437-v1Release info

Latest

Research title

Genetic analysis of novel biomarkers and molecular targets for malignant brain tumors and their clinical application through multicenter collaborative research

Research overview

Aims
Malignant brain tumors are refractory to treatment and have a poor prognosis. In recent years, molecular genetic analyses of malignant brain tumors have rapidly progressed, and several genetic abnormalities have been found to be predictive of prognosis and response to treatments. In this study, we will comprehensively examine genetic abnormalities in malignant brain tumors and compare them with clinicopathological information to identify genes that are involved in tumor development or malignant transformation, or that are useful as biomarkers for diagnosis and early detection of recurrence, and that may be targets for therapies, and apply these genes to ancillary research and allocation factors in clinical trials.
Methods
RNA-seq analysis
Participants/materials
A total of 124 fresh-frozen tumor tissues from 124 patients with glioma
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000801NGS (RNA-seq)
  • RNA-seq
Controlled-access (Type I)2024-02-14

Data provider

Principal investigator
Shinji Kohsaka
Affiliation
Division of Cellular Signaling, National Cancer Center Research Institute

Research projects

No research projects.

Grants

NameTitleProject number
Grant-in-Aid for Rare Cancer Research, National Cancer Center
Exploration of Novel Therapeutic Targets in Malignant Brain Tumors of the AYA and Late Middle Age
  • 1-7

Related publications

TitleDOIDataset ID
The development of a custom RNA-sequencing panel for the identification of predictive and diagnostic biomarkers in glioma
https://doi.org/10.1007/s11060-024-04563-z (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.