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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

hum0067-v1Release info

Latest

Research title

Project for Development of Innovative Research on Cancer Therapeutics; identifiying the predictive factors for response to chemoherapy in ovarian cancer

Research overview

Aims
To identify novel predictive biomarkers of response to chemotherapy for clear cell carcinoma of the ovary
Methods
whole exome sequencing by using of Illumina HiSeq 2000
Participants/materials
110 samples (non-tumor and tumor tissues) from 55 ovarian clear cell carcinoma patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000076NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Toru Sugiyama
Affiliation
Department of Obstetrics and Gynecology, Iwate Medical University School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
Project for Development of Innovative Research on Cancer Therapeutics
Identifiying the predictive factors for response to chemoherapy in ovarian cancer
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
Tatsuhiko TsunodaTsunoda Laboratory (Medical Science Mathematics), Department of Biological Sciences, Graduate School of Science, The University of TokyoJapanResearch on sequence, image data analysis for precision medicine (9)2021-07-09 – 2025-07-07
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