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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

hum0550-v1Release info

Latest

Research title

Identification of Therapeutic Target Molecules in Urological Tumors by Whole-Genome Sequencing: renal cancer

Research overview

Aims
Urological malignancies, including prostate, kidney, and bladder cancers, are increasing, with somatic genomic alterations playing a key role. Traditional analyses are insufficient to fully explain tumorigenesis. Using nextgeneration sequencing, this study aims to comprehensively identify tumor-specific alterations and novel therapeutic targets through multi-layered genomic analysis.
Methods
We performed exome sequencing (exome-seq) using the Twist platform on 125 tumor samples obtained from 54 patients with renal cell carcinoma, along with corresponding normal samples. RNA sequencing (RNA-seq) was conducted using the NEB platform on 91 tumor samples from 91 patients with renal cell carcinoma. Furthermore, single-cell RNA sequencing (scRNA-seq) was performed using the 10x Genomics platform on 24 tumor samples obtained from 18 patients with renal cell carcinoma. Spatial transcriptomic analysis was also carried out using the 10x Genomics platform on 26 tumor samples from 16 patients with renal cell carcinoma.
Participants/materials
Renal cancer 101 cases
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000997NGS (Exome)
NGS (RNA-seq)
NGS (scRNA-seq)
NGS (Visium Spatial Gene Expression), Histological image
Xenium In Situ Gene Expression
  • WES
  • RNA-seq
  • scRNA-seq
Controlled-access (Type I)2025-11-14

Data provider

Principal investigator
Yoichi Fujii
Affiliation
Department of Urology, The University of Tokyo Graduate School of Medicine

Research projects

No research projects.

Grants

NameTitleProject number
Practical Research for Innovative Cancer Control, Japan Agency for Medical Research and Development (AMED)
Spatial analyses of kidney cancer in hemodialysis patients for innovative screening strategy
  • JP24ck0106948

Related publications

TitleDOIDataset ID
Spatial multiomic analyses reveal carcinogenic pathways in end-stage renal disease
https://doi.org/10.1158/2159-8290.CD-25-0472 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.