Skip to content
NBDC Human Database

No datasets in the cart.

Go to the cart

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

hum0455-v4Release info

Latest

Research title

Explore genetic abnormalities, molecular targets, predictive of drug sensitivity, histomorphology, and biomarkers in lung cancer / Analysis of genetic abnormalities and their biological significance in lung cancer

Research overview

Aims
Small cell carcinoma and large cell neuroendocrine carcinoma (LCNEC) fall under high-grade neuroendocrine carcinomas (HGNEC). HGNEC, characterized by poor prognosis and high treatment resistance, presents subtypes withinSCLC based on ASCL1, NEUROD1, POU2F3, and YAP1 expression levels, each influencing prognosis differently. LCNEC exhibits heterogeneous distribution of these factors, hypothesized to contribute to treatment resistance. Incorporating whole-genome sequencing and spatial transcriptomics, we'll investigate this variability. Leveraging tumor tissue morphology, we'll analyze single-cell factor expression correlations and gene expressions in the microenvironment, aiming to identify new HGNEC therapeutic targets and understand treatment resistance.
Methods
Whole-genome sequencing, High-performance in situ gene expression mapping Xenium (10x Genomics), Visium Spatial Gene Expression data (10X Genomics), Single-cell RNA sequencing data derived from nuclei (10X Genomics), STOMICS spatial transcritome data (BGI), PhenoCycler Spatial Proteomics (Akoya Biosciences)
Participants/materials
Samples from 10 + 10 + 13 patients with pulmonary neuroendocrine carcinoma operated on at the University of Tsukuba and Jichi Medical University Hospital
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000865NGS (WGS)
  • WGS
Controlled-access (Type I)2025-08-08
JGAD000926NGS (WGS)
  • WGS
Controlled-access (Type I)2026-02-20
JGAD000974NGS (WGS: PromethION)
NGS (WGS: Novaseq 6000)
Xenium In Situ Gene Expression
NGS (Visium Spatial Gene Expression), Histological image
NGS (snRNA-seq)
NGS (STOmics)
Spatial Proteomics
  • WGS
  • Xenium In Situ Gene Expression
  • Visium Spatial Gene Expression, Histological image
Controlled-access (Type I)2026-04-10
JGAD000866Xenium In Situ Gene Expression
  • Xenium In Situ Gene Expression
Controlled-access (Type I)2025-08-08

Data provider

Principal investigator
Daisuke Matsubara
Affiliation
Department of diagnostic pathology, The university of Tsukuba

Research projects

No research projects.

Grants

NameTitleProject number
Project for Promotion of Cancer Research and Therapeutic Evolution, Japan Agency for Medical Research and Development (AMED)
Study of heterogeneity of genomic and epigenomic aberrations and association with microenvironment in lung cancer tissues
  • JP24ama221522

Related publications

TitleDOIDataset ID
Clinicopathologic, Cellular, and Molecular Analyses of Pulmonary Neuroendocrine Carcinoma With High Expression of Hepatocyte Nuclear Factor 4 Alpha
https://doi.org/10.1016/j.labinv.2025.104210 (opens in a new tab)

Controlled access users

No use of the controlled access data has been recorded.