ReviewBladder cancer (Amsterdam, Netherlands)
Single-cell RNA sequencing and spatial transcriptome analysis in bladder cancer: Current status and future perspectives.
Review in Bladder cancer (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Article
- Single-cell transcriptomics identifies key immune-suppressive cells and their driver genes in the bladder cancer microenvironment with prognostic implications.Molecular genetics and genomics : MGG · 2026Article
- Spatial transcriptomics of en bloc transurethral resection of bladder tumor specimens defines an invasive-front gene expression signature.NPJ precision oncology · 2026Article
- Spatial transcriptomics of urothelial carcinoma with basal/squamous differentiation identifies Galectin-7 as a specific marker of squamous lineage commitment.Discover oncology · 2026Article
- Perspective on the integration of radiomics and spatial omics in the analysis of the tumor microenvironment of bladder cancer and prospects for precision diagnosis and treatment.Frontiers in immunology · 2026Review
- The metastasis landscape ofFrontiers in immunology · 2026Article
- Implications of Single-Cell RNA Sequencing in Cervical Cancer: Unravelling the Molecular Landscape.ACS omega · 2025Review
- Single cell RNA sequencing decodes cellular heterogeneity and identifies prognostic immune signatures in bladder cancer microenvironment.Discover oncology · 2025Article
- Single-cell RNA sequencing identifies potential critical prognostic biomarkers in bladder carcinoma.Scientific reports · 2025Article
- Lead Exposure and Bladder Cancer: Molecular Insights from TCGA RNA-Seq and Toxicogenomic Integration.Cancers · 2025Article
- Review
- Editorial: Genomic discoveries and pharmaceutical development in urologic tumors - volume II.Frontiers in pharmacology · 2025Article
- Advances in the immunological microenvironment and immunotherapy of bladder cancer.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bladder cancer is one of the most prevalent malignancies, and the mechanisms underlying its progression and the role of the tumor microenvironment (TME) are unclear. Recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) enable detailed analysis of the cellular heterogeneity, gene expression, and cell-cell interactions in bladder diseases. Methodology: We conducted a comprehensive search for recent articles that have investigated bladder diseases using scRNA-seq and ST. Results: scRNA-seq and ST have led to significant discoveries in bladder disease research. These technologies have enabled the identification of multiple molecular subtypes within individual tumors and of the mechanisms of treatment resistance. Additionally, molecular differences based on gender have been explored, explaining the heterogeneity of the incidence and progression of bladder cancer. These findings deepen our understanding of the pathology of bladder diseases and highlight the transformative potential of scRNA-seq and ST in identifying novel biomarkers and therapeutic targets. Conclusions: Integrating scRNA-seq and ST has considerably enhanced our understanding of tumor heterogeneity and the tumor microenvironment within tissues. These insights may lead to the development of personalized therapies and the improvement of patient outcomes. Several challenges, such as technical limitations and access difficulties, need to be addressed for the future clinical application of these technologies.
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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.