Research ID
hum0030-v1Release info
Research title
The Molecular Biological Analysis about Occurrence and Malignant Transformation in gynecological carcinogenesis
Research overview
- Aims
- To clarify the molecular biological difference between ovarian clear cell carcinoma and other histological subtypes carcinomas by comparing the copy number variants.
- Methods
- 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.
- Participants/materials
- 57 ovarian carcinoma patients (ovarian cancer cells and peripheral blood cells: total 114 samples)
- URL
- N/A
Datasets
The list is the one this version published; each dataset's content is shown as it is now.
| Cart | Dataset ID | Type of data | Analysis method | Access criteria | Date published |
|---|---|---|---|---|---|
| JGAD000022 | Copy Number Variations in cancer genome |
| Controlled-access (Type I) | 2020-09-28 |
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
| Name | Title | Project number |
|---|---|---|
KAKENHI Grant-in-Aid for Scientific Research (S) | An Integrated Genomic Analysis on Evolution of Cancer Cell Population |
|
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 |
|
KAKENHI Grant-in-Aid for Young Scientists (B) | Search for the New Molecular Targeted Therapies Based on Genetic Profiles of Ovarian Clear Cell Carcinoma |
|
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 (The Identification of the Gene Variation to Regulate the Treatment Sensitivity of the Progressive Ovarian Cancer) |
|
Related publications
| Title | DOI | Dataset ID |
|---|---|---|
Integrated Copy Number and Expression Analysis Identifies Profiles of Whole-Arm Chromosomal Alterations and Subgroups with Favorable Outcome in Ovarian Clear Cell Carcinomas |
Controlled access users
| Principal investigator | Affiliation | Country/Region | Research title | Period of data use | Dataset ID |
|---|---|---|---|---|---|
| Ikuo Konishi | Department of Gynecology and Obstetrics, Kyoto University | Japan | Integrated analyses of omics (genomics, transcriptomics, proteomics and metabolomics) associated with clinical variables for developing indivisualized treatment in gynecologycal malignancy | 2015-07-03 – 2017-09-04 | |
| Masaki Mandai | department of Gynecology and Obstetrics, Kyoto University Faculty of Medicene | Japan | Integrated analyses of omics (genomics, transcriptomics, proteomics and metabolomics) associated with clinical variables for developing indivisualizedtreatment in gynecological malignancy | 2018-10-04 – 2025-04-14 | |
| Noriomi Matsumura | Obstetrics and Gynecology, Kindai University | Japan | Integrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR1 | 2024-10-15 – 2027-12-31 | |
| Ken Yamaguchi | Gynecology and Obstetrics, Kyoto University | Japan | Integrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR1 | 2024-10-22 – 2027-12-31 |