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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

hum0272-v3Release info

Latest

Research title

Analysis of the immune status of melanoma and other skin tumors

Research overview

Aims
Analysis of gene expression and somatic gene mutation in tumor cells and immune cells using skin tumor samples such as melanoma
Methods
whole exome sequencing analysis, RNA sequencing analysis, scRNA sequencing analyses, scTCR sequencing analyses, and target capture sequencing
Participants/materials
melanoma patients: 4 + 9 cases
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000391NGS (Exome)
NGS (RNA-seq)
  • WES
  • RNA-seq
  • scRNA-seq + scTCR-seq
Controlled-access (Type I)2021-11-26
JGAD000717NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2024-11-14

Data provider

Principal investigator
Takashi Inozume
Affiliation
Department of Dermatology, Chiba University

Research projects

NameURL
Development of more effective immunotherapy for skin cancer
N/A

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Scientific Research (C)
Identification of essential biomarkers for efficacy of anti-PD-1 therapy
  • 19K08744
KAKENHI Grant-in-Aid for Scientific Research (C)
Analysis of tumor-specific T cells aimed at overcoming challenges with immune checkpoint inhibitors
  • 22K08424
KAKENHI Grant-in-Aid for Scientific Research (B)
Analysis of PD-1+ tumor-infiltrating T cells according to cancer antigen hierarchy
  • 20H03694
Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)
Development of a single-cell analysis method for tumor-infiltrating lymphocytes with genomic abnormalities and elucidation of its clinical significance
  • JP21cm0106383

Related publications

TitleDOIDataset ID
TIGIT/CD155 axis mediates resistance to immunotherapy in patients with melanoma with the inflamed tumor microenvironment
https://doi.org/10.1136/jitc-2021-003134 (opens in a new tab)
PD-1 blockade therapy promotes infiltration of tumor-attacking exhausted T cell clonotypes
https://doi.org/10.1016/j.celrep.2022.110331 (opens in a new tab)
Mixed Response to Cancer Immunotherapy is Driven by Intratumor Heterogeneity and Differential Interlesion Immune Infiltration
https://doi.org/10.1158/2767-9764.CRC-22-0050 (opens in a new tab)

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Michiaki HamadaHamada Laboratory, Faculty of Science and Engineering, Waseda UniversityJapanConstruction of RNA-targeted Drug Discovery Database2023-01-05 – 2027-10-31
Takuya YamamotoCenter for Intractable Diseases and ImmunoGenomics, National Institutes of Biomedical Innovation, Health and NutritionJapanBasic research for vaccine development against gastrointestinal cancer and malignant melanoma based on the identification of novel cancer antigens 2024-11-12 – 2026-03-31