Omics · study · 2026
Simplified Molecular Classification of Urothelial Carcinoma via Multi-Omic Profiling: Implications for Precision Therapy
Listed in NCBI GEO
Urothelial carcinoma (UC) is a biologically heterogeneous disease and current molecular classification frameworks have limited integration into clinical decision-making.
Description
To foster precision oncology in UC, we developed a molecular classification framework of UC applicable to transcriptomic and proteomic data of non-muscle invasive bladder cancers (NMIBC), muscle-invasive bladder cancer (MIBC), and urothelial cancer cell lines.
Using a whole-transcriptome self-organized map and regularized semi-supervised clustering ofn 4439 bulk NMIBC and MIBC transcriptomes and proteomes, and 33 UC cell lines, we identified three molecular UC clusters. The clusters had distinct signatures of mRNA, proteins, biological processes, metabolism, and essential driver genes. They also differed in prognosis and machine learning-predicted treatment vulnerabilities.
Read the rest (2 more)
High-risk stroma-rich cluster #1 cancers were predicted to respond to selected cytotoxic drugs, ferroptosis inducers, and PARP inhibitors. For the aggressive, fast proliferating and immune-infiltrated cluster #2 tumors with basal/squamous differentiation, cytotoxic agents and EGFR/ERBB- and MEK/ERK-targeting therapy was proposed. Cluster #3 cancers of predominantly luminal papillary phenotype, with scarce stroma and immune infiltration were enriched with NMIBC and low-risk malignancies.
For cluster #3 patients, selected epigenetic drugs or EGFR/FGFR inhibitors may pose an attractive treatment option. This molecular taxonomy holds promise as a practical framework for patient stratification and therapeutic guidance in UC. Our molecular classification scheme may facilitate personalized transcriptome- and proteome-based risk assessment and therapy guidance, and the development of new cancer medication.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE308nnn/GSE308936 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE308936 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1333445 ncbi.nlm.nih.gov/bioproject/PRJNA1333445 ↗
project · from NCBI GEO
- PubMed 41804750 pubmed.ncbi.nlm.nih.gov/41804750 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE308936 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |