ArticleScientific reports2025
A novel efferocytosis-related gene signature for predicting prognosis and therapeutic response in bladder cancer.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatial and Temporal Heterogeneity of Macrophage Efferocytosis in Tumors: Emerging Implications for Immunotherapy Biomarkers and Therapeutic Timing.Cancer medicine · 2026Review
- Comprehensive Pan-Cancer Analysis of ABCA1: Insights From Multi-Omics Data and Exploratory Validation in Esophageal Squamous Cell Carcinoma.Cell biochemistry and function · 2026Article
- Prognostic and immunological implications of a mitophagy-associated gene signature in bladder cancer.Translational andrology and urology · 2026Article
- Identification of MYC co-expression gene: POLR3G is associated with cell senescence, immunotherapy, chemotherapy responses, and clinical prognosis in bladder cancer patients.Translational oncology · 2026Article
- Review
- [Mechanisms of Macrophage Efferocytosis-driven Remodeling of Lung Cancer Microenvironment Structure and Angiogenesis and Prospects for Clinical Intervention].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Bladder Cancer Biomarkers: Recent Advances in Early Detection, Treatment Prediction, and Prognosis.Oncology research · 2026Review
- Decoding SIGLEC12 in Bladder Cancer: In Silico Profiling of Expression, Tumor-Immune Interactions, and Prognostic Impact.Medicina (Kaunas, Lithuania) · 2025Article
- Integrative Genomic and Single-Cell Insights Into Efferocytosis-Mediated Immune Regulation in Clear Cell Renal Cell Carcinoma.Mediators of inflammation · 2025Article
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Authors and funding
5 authors.
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Abstract
Efferocytosis, the process by which phagocytes like macrophages and dendritic cells clear apoptotic cells, is crucial for maintaining tissue homeostasis. However, its function in bladder cancer (BLCA) remains unclear and warrants further exploration. This study seeks to establish a prognostic and treatment response signature based on efferocytosis-related genes (EFRGs) for bladder cancer patients. BLCA-related datasets were sourced from the Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/ ) and the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/ ). A comprehensive analysis was performed on 28 prognostic EFRGs. Clustering analysis was carried out using ConsensusClusterPlus. Prognostic differentially expressed genes (DEGs) were identified based on expression variations across the subtypes. A prognostic model was subsequently developed using least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression. Lastly, a thorough analysis was conducted to explore the relationship between risk scores and the tumor immune microenvironment, somatic mutations, as well as responses to immunotherapy and chemotherapy. Consensus clustering revealed two efferocytosis subtypes, Cluster A and Cluster B, and identified 61 prognostic DEGs between them. A risk scoring model, incorporating four key DEGs-SERPINE2, DPYSL3, CTSE, and KRT16-was constructed and validated. This model successfully stratified patients into high-risk and low-risk groups, with high-risk patients showing worse prognosis, increased immune infiltration, and higher immune checkpoint gene expression. The risk scores also provide insights into patient responsiveness to treatment. In conclusion, we identified four key genes-SERPINE2, DPYSL3, CTSE, and KRT16-that can be used to develop a prognostic model for bladder cancer. These findings may provide valuable molecular targets for the clinical diagnosis and therapeutic strategies of bladder cancer.
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