Skip to content
NBDC Human Database

No datasets in the cart.

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

hum0030-v5Release info

Latest

Research title

The Molecular Biological Analysis about Occurrence and Malignant Transformation in gynecological carcinogenesis

Research overview

Aims
To clarify the biological difference between clear cell carcinoma and other histological subtypes in ovarian carcinomas by comparing copy number variants, and to identify molecular subtypes and carcinogenesis in clear cell ovarian carcinomas by whole-exome sequencing and RNA-sequencing. Then, characterize high-grade serous carcinomas by NGS-based, integrative genomic analyses, with focus on homologous recombination deficiency, molecular subtypes, and prognostic factors and effectiveness of PARP inhibitor. Based on the results of whole-exome sequencing, an investigator-initiated, phase 2 clinical trial will be conducted to evaluate the efficacy and safety of the PARP inhibitor olaparib in HRD-positive cases.
Understanding the immune regulatory mechanisms in endometrial cancer is crucial for improving immunotherapy strategies. To elucidate the relationship between the tumor immune microenvironment and HLA class I expression, with a particular focus on their impact on CD8+ T cell infiltration patterns. By investigating the molecular basis of immune evasion across different histological and molecular subtypes, we will generate evidence that will contribute to the development of personalized immunotherapy strategies.
Methods
Copy Number Variation Analysis: Gene Chip Human Mapping 250K Nsp Arrays were used for detecting the signal intensity of about 260 thousands SNPs and intensities of ovarian clear cell carcinoma were compared to the ones of non-carcinoma.
Whole Exome sequencing and RNA-seq
Methylation array and Expression array
Target bisulfite sequencing
Participants/materials
Ovarian cancer: 57 cases (12 endometrioid carcinoma) + 111 cases + 31 + 189 cases, Endometrial cancer: 86 cases
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000022Copy Number Variations in cancer genome
  • Genotyping by array (CNV)
Controlled-access (Type I)2020-09-28
JGAD000682NGS (Exome, RNA-seq)
  • WES
  • RNA-seq
  • メチル化アレイ
  • 発現アレイ
Controlled-access (Type I)2024-05-13
JGAD000931NGS (Exome)
  • WES
Controlled-access (Type I)2025-07-09
JGAD001041NGS (Target bisulfite-seq)
  • Target bisulfite sequencing
Controlled-access (Type I)2026-04-22

Data provider

Principal investigator
Katsutoshi Oda
Affiliation
Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (S)
An Integrated Genomic Analysis on Evolution of Cancer Cell Population
  • 24221011
KAKENHI Grant-in-Aid for Scientific Research (C)
Search for the New Molecular Targeted Therapies and Biomarkers Inducing Apoptosis in Endometrial Carcinoma and Ovarian Carcinoma
  • 26462515
KAKENHI Grant-in-Aid for Young Scientists (B)
Search for the New Molecular Targeted Therapies Based on Genetic Profiles of Ovarian Clear Cell Carcinoma
  • 25861473
Project for Development of Innovative Research on Cancer Therapeutics (P-DIRECT)
Development of the Intractable Cancer Therapies through the New Target Identification by the Molecular Profiling (The Identification of the Gene Variation to Regulate the Treatment Sensitivity of the Progressive Ovarian Cancer)
  • 11114014
KAKENHI Grant-in-Aid for Young Scientists (B)
Carcinogenesis and Disorder of SWI/SNF Chromatin Remodeling Complex in Ovarian Clear Cell Carcinoma
  • 22K16873
KAKENHI Grant-in-Aid for Scientific Research (C)
Investigation of Novel Molecularly Targeted Therapies Focusing on Homologous Recombination Repair Defeciency in Ovarian Cancer
  • 18K09249
KAKENHI Grant-in-Aid for Scientific Research (B)
Clinical utility of genetic analysis and organoid-based drug sensitivity testing in ovarian cancer.
  • 21H03074
KAKENHI Grant-in-Aid for Scientific Research (B)
Development of a Drug-Sensitive Methylation Diagnostic Kit and Application to Liquid Biopsy for Ovarian/Uterine Cancer
  • 24K02584

Related publications

TitleDOIDataset ID
Integrated Copy Number and Expression Analysis Identifies Profiles of Whole-Arm Chromosomal Alterations and Subgroups with Favorable Outcome in Ovarian Clear Cell Carcinomas
The frequency of neoantigens per somatic mutation rather than overall mutational load or number of predicted neoantigens per se is a prognostic factor in ovarian clear cell carcinoma
Neoantigen load and HLA-class I expression identify a subgroup of tumors with a T-cell-inflamed phenotype and favorable prognosis in homologous recombination-proficient high-grade serous ovarian carcinoma
Integrated genomic/epigenomic analysis stratifies subtypes of clear cell ovarian carcinoma, highlighting their cellular origin
HLA class I dysregulation and immune microenvironment across endometrial cancer molecular subtypes
N/A

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Ikuo KonishiDepartment of Gynecology and Obstetrics, Kyoto UniversityJapanIntegrated analyses of omics (genomics, transcriptomics, proteomics and metabolomics) associated with clinical variables for developing indivisualized treatment in gynecologycal malignancy2015-07-03 – 2017-09-04
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
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