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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)
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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

hum0175-v2Release info

This page is a past version (v2). The latest version is v3.
Latest version (v3)

Research title

Development of actionable molecular targets and/or biomarkers for prognostication and patient stratification in gynecological cancer based on whole-exome sequencing and epigenomic analysis

Research overview

Aims
Development of actionable molecular targets and/or biomarkers for prognostication and patient stratification
Methods
Exome analysis and target capture analysis (596 genes) by using Illumina HiSeq 2000/NovaSeq 6000
Participants/materials
primary tumor tissues and non-tumor tissues from 69 endometrial carcinoma patients, endometrial hyperplasia lesions and matched normal tissues/whole blood from 30 endometrial hyperplasia patients, endometrial hyperplasia lesions, atypical polypoid adenomyoma, normal endometrium, endometrial carcinoma and matched normal tissues/whole blood from 66 oral MPA (medroxyprogesterone acetate)-treatment cases
URL
N/A

Datasets

The list is the one this version published; each dataset's content is shown as it is now.

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000254NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28
JGAD000772NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2024-02-29

Data provider

Principal investigator
Nobuhiro Takeshima
Affiliation
The Cancer Institute Hospital of JFCR

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Genome-wide analyses of endometrial endometrioid carcinoma for early detection and personalized medicine.
  • 26462543
KAKENHI Grant-in-Aid for Scientific Research (C)
Molecular analysis of malignant ascites formation by single-cell RNA-sequencing.
  • 15K06861
KAKENHI Grant-in-Aid for Scientific Research (C)
Identification of the progestin therapy resistance genes in time-course endometrial cancer samples.
  • 17K11308
KAKENHI Grant-in-Aid for Young Scientists (B)
Whole genome sequencing analyses of uterine and ovarian carcinosarcoma.
  • 17K18337
KAKENHI Grant-in-Aid for Scientific Research (C)
Immune microenvironment analyses of uterine and ovarian carcinosarcoma.
  • 18K07338
Project for Promotion of Cancer Research and Therapeutic Evolution (P-PROMOTE), Japan Agency for Medical Research and Development (AMED)
Understanding of tumorigenic program and identification of novel biomarker for early detection and prevention of endometrial cancer through spatial epigenome analysis
  • JP22ama221513
KAKENHI Grant-in-Aid for Scientific Research (C)
Exploration of CTCF downstream targets in endometrial cancer
  • JP20K09634
The Vehicle Racing Commemorative Foundation
Exploration of relevant mutations associated with relapsing or refractory ovarian cancer.
  • 5144
  • 5274
  • 5393

Related publications

TitleDOIDataset ID
Two Distinct Tumorigenic Processes in Endometrial Endometrioid Adenocarcinoma.
https://doi.org/10.1016/j.ajpath.2019.09.022 (opens in a new tab)
Genetic and epigenetic alterations in precursor lesions of endometrial endometrioid carcinoma
https://doi.org/10.1002/path.6278 (opens in a new tab)
Genomic and DNA methylomic factors associated with the efficacy of oral medroxyprogesterone acetate on endometrial neoplastic disease
https://doi.org/10.1016/j.ygyno.2025.09.004 (opens in a new tab)

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