ArticleFrontiers in immunology2024
Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactions.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spatial and temporal intratumoral heterogeneity in breast cancer: a systematic and conceptual review of single-cell and spatial omics studies.BMC cancer · 2026Pooled it
- Spatial Transcriptomics Reveals Location-Specific Tumor Cell Subtypes and Signaling within Multifocal Small Intestinal Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Integrated scRNA-seq and bulk transcriptomics identify an amino acid metabolism-associated prognostic signature and highlight FUS as a potential driver in prostate cancer progression.Functional & integrative genomics · 2026Article
- Single-cell profiling uncovers extracellular vesicle-associated malignant plasma cell subpopulations driving multiple myeloma progression.Frontiers in immunology · 2026Article
- Integrative multi-omics reveals the POSTNFrontiers in immunology · 2026Article
- Integrated Single Cell Spatial Analysis Reveals Dysregulated Basal Progenitor Cells in Ulcerative Colitis Pathogenesis: A Multi Omics Study.Health science reports · 2026Article
- Single-cell landscape of melanoma reveals ETV5-driven C3 ID4Frontiers in immunology · 2026Article
- The therapeutic effect and specific mechanism involved active Chinese medicine component biochaninA in glioma.Frontiers in immunology · 2026Article
- Single-cell RNA sequencing reveals the potential role of Postn(+) fibroblasts in promoting the progression of myocardial fibrosis after myocardial infarction.Scientific reports · 2025Article
- Single-cell and spatial atlas of glioblastoma heterogeneity: characterizing theFrontiers in immunology · 2025Article
- Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor microenvironment of colorectal cancer.Frontiers in immunology · 2025Article
- Deciphering oligomeric proanthocyanidins' dual osteoprotective mechanisms at single-cell resolution:Frontiers in immunology · 2025Article
- Integrated multi-omics analysis reveals the immunotherapeutic significance of tumor cells with high FN1 expression in ovarian cancer.Frontiers in molecular biosciences · 2025Article
- Decoding multiple myeloma: single-cell insights into tumor heterogeneity, immune dynamics, and disease progression.Frontiers in immunology · 2025Article
- Integrative single-cell and spatial transcriptomics uncover ELK4-mediated mechanisms inFrontiers in immunology · 2025Article
- Epithelial cells with high TOP2A expression promote cervical cancer progression by regulating the transcription factor FOXM1.Frontiers in oncology · 2025Article
- Dissecting the endothelial cell landscape in meningioma: single-cell insights intoFrontiers in immunology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Prostate cancer (PCa) is a multifactorial and heterogeneous disease, ranking among the most prevalent malignancies in men. In 2020, there were 1,414,259 new cases of PCa worldwide, accounting for 7.3% of all malignant tumors. The incidence rate of PCa ranks third, following breast cancer and lung cancer. Patients diagnosed with high-grade PCa frequently present with existing or developing metastases, complicating their treatment and resulting in poorer prognoses, particularly for those with bone metastases. Utilizing single-cell RNA sequencing (scRNA-seq), we identified specific malignant cell subtypes that are closely linked to high-grade PCa. By investigating the mechanisms that govern interactions within the tumor microenvironment (TME), we aim to offer new theoretical insights that can enhance the prevention, diagnosis, and treatment of PCa, ultimately striving to improve patient outcomes and quality of life. Methods: Data on scRNA-seq was obtained from the GEO database. The gene ontology and gene set enrichment analysis were employed to analyze differential expression genes. Using inferCNV analysis to identify malignant epithelial cells. We subsequently employed Monocle, Cytotrace, and Slingshot packages to infer subtype differentiation trajectories. The cellular communication between malignant cell subtypes and other cells was predicted using the CellChat package. Furthermore, we employed pySCENIC to analyze and identify the regulatory networks of transcription factors (TFs) in malignant cell subtypes. The MDA PCa 2b and VCap cell lines were employed to validate the analysis results through cellular functional experiments. In addition, a risk scoring model was developed to assess the variation in clinical characteristics, prognosis, immune infiltration, immune checkpoint, and drug sensitivity. Results: A malignant cell subtype in PCa with high expression of Conclusion: By examining the cellular heterogeneity of a unique
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