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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

hum0270-v1Release info

Latest

Research title

Translational research for elucidating molecular and pathological abnormalities specific to bone and soft tissue tumors based on genomic and genetic analysis, and for developing new diagnostic and therapeutic strategies

Research overview

Aims
To identify prognosis-related genomic alterations in pediatric Osteosarcoma patients using NGS technique.
Methods
By using a comprehensive cancer panel which amplifies coding exons of cancer-related 409 genes, candidate mutations occurred in OS were surveyed.
Participants/materials
Pediatric Osteosarcoma: 16 patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000388NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2021-04-05

Data provider

Principal investigator
Tsukasa Yonemoto
Affiliation
Division of Orthopedic Surgery, Chiba Cancer Center

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Young Scientists (B)
Molecular profiling to predict chemosensitivity for osteosarcoma
  • 23791673
KAKENHI Grant-in-Aid for Scientific Research (C)
Analysis of factors determining chemosensitivity and pulmonary metastasis in patients with osteosarcoma by genomic expression analysis
  • 19591742
Grants-in-Aid by the Ministry of Health, Labor and Welfare of Japan for the Third Term Comprehensive 10-year Strategy for Cancer Control
Genomic and gene expression profiling of pediatric solid tumors
  • H22-3次がん-一般-011

Related publications

TitleDOIDataset ID
CDK4 overexpression is a predictive biomarker for resistance to conventional chemotherapy in patients with osteosarcoma
https://doi.org/10.3892/or.2021.8086 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.