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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

hum0059-v1Release info

Latest
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Research title

Identification of genetic mutations characteristic for recurrence of serous ovarian cancer

Research overview

Aims
Establishment of novel therapeutic strategy to overcome intractable cancer by molecular profiling of serous ovarian cancer
Methods
Exome analysis by using Illumina HiSeq 2000
Participants/materials
148 normal, primary tumor and relapse tumor tissues from 65 ovarian cancer
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000109NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Kazuyoshi Kato
Affiliation
The Cancer Institute Hospital of JFCR

Research projects

No research projects.

Grants

NameTitleProject number
Project for Development of Innovative Research on Cancer Therapeutics (P-DIRECT), Japan Agency for Medical Research and Development (AMED)
Development of the Intractable Cancer Therapies through the New Target Identification by the Molecular Profiling
  • JP15cm0106061
JSPS KAKENHI
先進的がん治療法開発のためのマルチオミック解析による基盤的基礎研究（患者腫瘍検体のゲノム・エピゲノム情報解析とデータベース構築）
N/A

Related publications

No related publications.

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Masaki Mandaidepartment of Gynecology and Obstetrics, Kyoto University Faculty of MediceneJapanIntegrated analyses of omics (genomics, transcriptomics, proteomics and metabolomics) associated with clinical variables for developing indivisualizedtreatment in gynecological malignancy2018-10-04 – 2025-04-14
Kouya ShiraishiDivision of Genome Biology, National Cancer Research InstituteJapanElucidation of immune-system networks between host and tumor based on genomic analysis2019-08-05 – 2029-03-31
Noriomi MatsumuraObstetrics and Gynecology, Kindai UniversityJapanIntegrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR12024-10-15 – 2027-12-31
Ken YamaguchiGynecology and Obstetrics, Kyoto UniversityJapanIntegrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR12024-10-22 – 2027-12-31