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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

hum0516-v1Release info

Latest

Research title

Nucleosome profiling of cell-free DNA enables detection of metastatic breast cancer, focusing on transcriptional dynamics

Research overview

Aims
Breast cancer is one of the most common cancers occurring worldwide in women. Even after curative treatment based on clinical subtypes according to molecular features, the risk of relapse still remains. Cell-free DNA (cfDNA) is an emerging tool for clinical cancer detection to monitor the risk of recurrence, therapeutic efficacy and tumor progression. In occurrence of relapse, genomic, transcriptomic and epigenetic profiles are altered, and reflected in cfDNA fragmentation patterns. In this study, we focus on the transcriptionally dynamic loci associated with therapy resistance in breast cancer, and develop the target sequencing approach using cfDNAs to detect individuals with recurrent/metastatic breast cancer.
Methods
cfDNA target sequencing
Participants/materials
150 blood samples obtained from 99 patients with primary breast cancer (pBC) and 34 patients with recurrent/metastatic breast cancer (mBC)
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000954NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2026-05-21

Data provider

Principal investigator
Sugiko Watanabe
Affiliation
Institute of Molecular Embryology and Genetics, Kumamoto university

Research projects

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Analysis of cell-free DNA targeted sequence to develop of novel strategies for endocrine therapy-resistant breast cancer
  • 23K06699
KAKENHI Grant-in-Aid for Scientific Research (C)
Molecular mechanism of accumulation of cytoplasmic chromatin in senescent cells, related to carcinogenesis
  • 20K07589
Princess Takamatsu Cancer Research Fund
Next-Generation Extranuclear Genome Sequencing for Detecting Genome Instability in Cellular Senescence and Molecular Mechanisms of Cancer Genomic Structural Variations
  • 20-25240
KAKENHI Grant-in-Aid for Scientific Research (B)
Molecular basis of senescence-associated secretory phenotype and its medical application
  • 24K02240
KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas
Platform for Advanced Genome Science
  • 16H06279

Related publications

TitleDOIDataset ID
Transcriptionally informed nucleosome profiling of circulating cell-free DNA predicts breast cancer recurrence.
https://doi.org/10.1158/2767-9764.CRC-26-0263 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.