MIBC Vasculogenic Mimicry Subtypes with Multi-Omics Validation

A molecular subtyping system for muscle-invasive bladder cancer (MIBC) based on vasculogenic mimicry (VM). The dataset integrates multi-omics data, including bulk transcriptomic, genomic, mass cytometry, spatial transcriptomic, and metabolomic datasets, to classify patients into three prognostic subtypes. It was created by Luqing Wei and last updated on 2026-05-29.

Use Cases

• Predicting patient prognosis based on the defined VM, Mixed-VM, and Non-VM molecular subtypes.
• Evaluating potential response to immunotherapy based on tumor mutational burden and immunosuppressive microenvironment features.
• Identifying therapeutic targets, such as MEK inhibition combined with checkpoint inhibitors, for the aggressive VM subtype.
• Studying metabolic reprogramming and cellular plasticity associated with different MIBC subtypes.

Strengths

• Integrates multiple independent validation cohorts, including single-cell and bulk RNA sequencing data.
• Defines three distinct molecular subtypes (VM, Mixed-VM, Non-VM) with consistent prognostic outcomes.
• Analysis includes multi-omics data types: transcriptomic, genomic, mass cytometry, spatial transcriptomic, and metabolomic.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small in size (490.0 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Integrated analysis of 1,489 VM-related genes and differentially expressed genes from single-cell transcriptomic analysis, validated across multiple independent cohorts.

Freshness

Last updated 2026-05-29 06:07:43; freshness should be verified.