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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

hum0517-v1Release info

Latest

Research title

Evaluation of novel therapies using primary cultured gynecological cancer cells and search for predictors of efficacy

Research overview

Aims
To establish an optimal method to evaluate the anti-tumor efficacy and biological activity in vivo using tumor tissues and cells derived from patients with gynecological malignancies, and to evaluate them in practice. This research will contribute to the development of new treatments for gynecological cancer.
Methods
Whole exome sequencing analysis
Participants/materials
Endometrial cancer 30 cases and tumor tissues propagated in patient-derived xenografts (PDXs)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000951NGS (Exome)
  • WES
Controlled-access (Type I)2025-06-18

Data provider

Principal investigator
Kosei Hasegawa
Affiliation
Department of Gynecologic Oncology, Saitama Medical University International Medical Center

Research projects

NameURL
EC-PDX project
N/A

Grants

No grants.

Related publications

TitleDOIDataset ID
Establishing a comprehensive panel of patient-derived xenograft models for high-grade endometrial carcinoma: molecular subtypes, genetic alterations, and therapeutic target profiling
https://doi.org/10.1016/j.neo.2025.101158 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.