ArticleCellular oncology (Dordrecht, Netherlands)2023
Single-cell RNA sequencing reveals the cellular and molecular characteristics of high-grade and metastatic bladder cancer.
Article in Cellular oncology (Dordrecht, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A machine learning-guided epithelial plasticity score refines prognostication and immune-context stratification in muscle-invasive bladder cancer.Discover oncology · 2026Article
- Article
- Article
- Single cell RNA sequencing decodes cellular heterogeneity and identifies prognostic immune signatures in bladder cancer microenvironment.Discover oncology · 2025Article
- Identifying the causal role and therapeutic potential of immune-related genes in bladder cancer: a Mendelian randomization study.Discover oncology · 2025Article
- Analysis of single-cell RNA sequencing data to examine the gastric inflammation-to-cancer transition and evaluation of the effect of probiotic on precancerous lesions.Engineering microbiology · 2025Article
- Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis.Frontiers in immunology · 2025Article
- Tissue-resident memory T cells in urinary tract diseases.Frontiers in immunology · 2025Review
- Review
- Integrating single-cell transcriptomics to reveal the ferroptosis regulators in the tumor microenvironment that contribute to bladder urothelial carcinoma progression and immunotherapy.Frontiers in immunology · 2024Article
- Understanding bladder cancer risk: Mendelian randomization analysis of immune cell and inflammatory factor influence.Frontiers in immunology · 2024Article
- SNAI2 as a Prognostic Biomarker Based on Cancer-Associated Fibroblasts in Patients With Lung Adenocarcinoma.Clinical Medicine Insights. Oncology · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
purposeMetastatic bladder cancer (BC) has the highest somatic mutation frequency and recurrence rate of all tumors. However, the cellular and molecular characteristics of BC remain unclear.
methodsWe performed single-cell RNA sequencing (scRNA-seq) on the samples of paracancerous normal tissue (PNT), primary tumor (PT) and lymph node metastasis (LNM). The proportions and gene expression profiles of different cell types in the tumor microenvironment (TME) were investigated.
resultsIn total, 50,158 cells were classified into six populations. Malignant cells of PT and LNM exhibited large mutant DNA fragments, while the cell phenotypes and gene expression profiles differed during differentiation. Metastasis was associated with a poorer prognosis than PT. Tumor-associated stromal cells and inhibitory immune cells were the main cell populations in PT and LNM. Cell-cell communication analysis revealed the roles of signaling pathways of inflammatory cancer-associated fibroblast (iCAF) and tumor-associated macrophage (TAM) in exhaustion of T cells. In addition, iCAF may recruit TAM to promote formation of the TME earlier than the differentiation of tumor cells.
conclusionThis study through scRNA-seq enhanced our understanding of new features about the cellular and molecular similarities and differences of high-grade and metastatic bladder cancer, which might provide potential therapeutic targets in future treatment.
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