An Angiogenesis-Related Scoring System Identifies an Immune-Inflamed Phenotype and Characterizes the Tumor Immune Microenvironment in Esophageal Squamous Cell Carcinoma
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引用次数: 0
Abstract
Background
Tumor angiogenesis intricately modulates the tumor immune microenvironment (TIME), but whether angiogenesis-related transcriptional features can stratify prognosis and immune phenotypes in esophageal squamous cell carcinoma (ESCC) remains unclear.
Methods
Transcriptomic and clinical data were obtained from public databases. An angiogenesis-related scoring system (ARSys) was constructed using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) and then validated in an independent cohort. Prognostic performance was assessed via Cox regression and receiver operating characteristic (ROC) analysis. TIME characterization employed TIMER, ssGSEA, and ESTIMATE; pathway analyses used gene set variation analysis (GSVA), gene set enrichment analysis (GSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO). Key genes were screened by LASSO and support vector machine-recursive feature elimination (SVM-RFE). TNFSF10 expression was further validated by immunohistochemistry, Western blot, and RT-qPCR in clinical samples.
Results
ARSys independently predicted prognosis and stratified patients into two distinct immunophenotypes. The high-risk subgroup exhibited a markedly “immune-inflamed” phenotype, characterized by elevated infiltration of effector T cells, heightened expression of multiple immune checkpoints, and significant enrichment of inflammatory pathways (complement cascade, antigen processing, and T-cell receptor signaling). TNFSF10, a key ARSys gene with the highest weighting, was significantly upregulated in ESCC tissues at the protein and mRNA levels. This immuno-inflammatory signature indicates that ARSyshigh tumors display an immune-inflamed phenotype; however, the present datasets do not permit inference regarding ICI response or irAE risk.
Conclusions
ARSys provides prognostic stratification and characterization of tumor immunophenotypes in ESCC. TNFSF10 emerges as a promising biomarker associated with unfavorable prognosis in ESCC. The potential relevance of ARSys to immunotherapy response or toxicity requires validation in dedicated ICI-treated cohorts.
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