NBDC Research ID: hum0067.v1
SUMMARY
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
| Dataset ID | Type of Data | Criteria | Release Date |
|---|---|---|---|
| JGAS000076 |
NGS (Exome) | Controlled-access (Type I) | 2017/05/18 |
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MOLECULAR DATA
| Participants/Materials |
ovarian clear cell carcinoma: 55 cases (tumor: 55 samples and non-tumor: 55 samples) |
| Targets | Exome |
| Target Loci for Capture Methods | - |
| Platform | Illumina [HiSeq 2000] |
| Library Source | DNAs extracted from tumor and non-tumor tissues |
| Cell Lines | - |
| Library Construction (kit name) | SureSelect Custom Kit (SureSelect Human All Exon V5 + lincRNA) |
| Fragmentation Methods | Ultrasonic fragmentation |
| Spot Type | Paired-end |
| Read Length (without Barcodes, Adaptors, Primers, and Linkers) | 100 bp x 2 |
| Japanese Genotype-phenotype Archive Dataset ID | JGAD000076 |
| Total Data Volume | 2 TB (fastq) |
| Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Toru Sugiyama
Affiliation: Department of Obstetrics and Gynecology, Iwate Medical University School of Medicine
URL: http://p-direct.jfcr.or.jp/english/
Funds / Grants (Research Project Number):
| Name | Title | Project Number |
|---|---|---|
| Project for Development of Innovative Research on Cancer Therapeutics | Identifiying the predictive factors for response to chemoherapy in ovarian cancer | - |
PUBLICATIONS
| Title | DOI | Dataset ID | |
|---|---|---|---|
| 1 | - |
USRES (Controlled-access Data)
| Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
|---|---|---|---|---|---|
| Masaki Mandai | Kyoto University Faculty of Medicene, department of Gynecology and Obstetrics | Integrated analyses of omics (genomics, transcriptomics, proteomics and metabolomics) associated with clinical variables for developing indivisualizedtreatment in gynecological malignancy | JGAD000076 | 2018/10/04-2025/03/31 | |
| Kouya Shiraishi | Division of Genome Biology, National Cancer Research Institute | Elucidation of immune-system networks between host and tumor based on genomic analysis | JGAD000076 | 2019/08/05-2023/03/31 | |
| Tatsuhiko Tsunoda | Department of Biological Sciences, Graduate School of Science, The University of Tokyo | Research on sequence, image data analysis for precision medicine (9) | JGAD000076 | 2021/07/05-2026/03/31 | |
| Noriomi Matsumura | Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University | Japan | Integrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR1 | JGAD000076 | 2024/10/15-2025/12/31 |
| Ken Yamaguchi | Gynecology and Obstetrics, Graduate School of Medicine and Faculty of Medicine, Kyoto University | Japan | Integrated multi-omics analysis for ovarian clear cell adenocarcinoma: JGOG3017-TR1 | JGAD000076 | 2024/10/22-2025/12/31 |
