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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

hum0156-v1Release info

Latest

Research title

Integrative genetic analysis using next generation sequencer reveals mechanisms of resistance to chemoradiotherapy for esophageal cancer

Research overview

Aims
To clarify mechanisms of resistance to chemoradiotherapy for esophageal cancer
Methods
DNA was extracted from peripheral blood cells and tumor tissues obtained by endoscopyc biopsy or surgery. Then whole exome sequencing was performed.
Participants/materials
Esophageal cancers treated with chemoradioherapy
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000319NGS (Exome)
  • WES
Controlled-access (Type I)2021-12-22

Data provider

Principal investigator
Koshi Mimori
Affiliation
Department of Surgery, Kyushu University Beppu Hospital

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Clonal evolution of esophageal cancer genome and immune response that produce chemoradiotherapy resistance
  • 19K08123
KAKENHI Grant-in-Aid for Scientific Research (C)
Analysis of genomic and epigenomic intratumoral heterogeneity reveals mechanisms of resistance to chemoradiotherapy in esophageal cancer
  • 16K10397
KAKENHI Grant-in-Aid for Young Scientists (B)
Next-generation sequencing approach detect chemoradiotherapy response in esophageal cancer
  • 26861003

Related publications

TitleDOIDataset ID
The Evolving Genomic Landscape of Esophageal Squamous Cell Carcinoma Under Chemoradiotherapy
https://doi.org/10.1158/0008-5472.CAN-21-0653 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.