ArticleCommunications biology2024
Digital spatial profiling of the microenvironment of muscle invasive bladder cancer.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Biofabrication for spatial control of multiscale biological crosstalk in tissue models.npj biomedical innovations · 2026Review
- Antibody-Drug Conjugates in Oncology: Principles, Clinical Development, and Future Directions.MedComm · 2026Review
- From molecular networks to translational intervention: current progress in the mechanisms of gemcitabine resistance in bladder cancer.Frontiers in immunology · 2026Review
- Article
- Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer.Frontiers in immunology · 2026Article
- ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues.Bioinformatics (Oxford, England) · 2025Article
- Sarcomatoid areas of urothelial carcinoma are enriched for CD163-positive antigen-presenting cells.The journal of pathology. Clinical research · 2025Article
- Article
- Single-cell RNA sequencing and spatial transcriptome analysis in bladder cancer: Current status and future perspectives.Bladder cancer (Amsterdam, Netherlands)Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Muscle invasive bladder cancer (MIBC) is a molecularly diverse disease with varied clinical outcomes. Molecular studies typically employ bulk sequencing analysis, giving a transcriptomic snapshot of a section of the tumour. However, tumour tissues are not homogeneous, but are composed of distinct compartments such as the tumour and stroma. To investigate the molecular profiles of bladder cancer, whilst also maintaining the spatial complexity of the tumours, we employed whole transcriptome Digital Spatial Profiling (DSP). With this method we generated a dataset of transcriptomic profiles of tumour epithelium, stroma, and immune infiltrate. With these data we investigate the spatial relationship of molecular subtype signatures and ligand signalling events. We find that Basal/Squamous and Classical subtypes are mostly restricted to tumour regions, while the stroma-rich subtype signatures are abundant within the stroma itself. Additionally, we identify ligand signalling events occurring between tumour, stroma, and immune infiltrate regions, such as immune infiltrate derived GPNMB, which was highly correlated with VEGFA expression within the tumour. These findings give us new insights into the diversity of MIBC at a molecular level and provide a dataset with detailed spatial information that was not available before in bladder cancer research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.