ArticleInternational journal of genomics2026
BDKRB1 Links Copy Number-Defined Genomic Instability to Inflammatory and Immunosuppressive Tumor Ecosystems in Ovarian Cancer: An Integrative Multiomics Analysis.
Article in International journal of genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- BDKRB1 Links Copy Number-Defined Genomic Instability to Inflammatory and Immunosuppressive Tumor Ecosystems in Ovarian Cancer: An Integrative Multiomics Analysis.International journal of genomics · 2026Article
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Abstract
Background: Ovarian cancer is characterized by high mortality, extensive genomic instability driven by copy number alterations, and a highly immunosuppressive tumor microenvironment. Increasing evidence suggests that chronic inflammation and stromal-immune interactions contribute to tumor progression and therapeutic resistance. Bradykinin receptor B1 (BDKRB1), an inflammation-inducible G protein-coupled receptor, has been implicated in tumor-associated inflammatory signaling; however, its genomic determinants and immunological relevance in ovarian cancer remain poorly defined. Methods: We performed an integrative multiomics analysis of BDKRB1 using TCGA-OV and multiple independent GEO cohorts. The analytical framework incorporated bulk transcriptomics, copy number variation profiling, single-cell RNA sequencing, immune cell deconvolution, pathway enrichment analysis (GSEA, GSVA, and PROGENy), and pharmacogenomic modeling. Patients were dichotomized into BDKRB1-high and BDKRB1-low groups using cohort-specific median expression to ensure cross-dataset consistency. Associations with genomic instability, TME features, and drug response patterns were systematically evaluated. Quantitative real-time polymerase chain reaction (qRT-PCR) was further performed to validate BDKRB1 expression in ovarian cancer cell lines. Results: BDKRB1 was consistently overexpressed in ovarian cancer and associated with unfavorable clinical outcomes across multiple cohorts. Elevated BDKRB1 expression correlated with increased genomic instability, reflected by higher fractions of the genome altered, gained, and lost. Although copy number variation partially explained BDKRB1 upregulation, the modest correlation suggested additional regulatory mechanisms. Tumors with high BDKRB1 expression exhibited immunosuppressive microenvironmental features, including enrichment of cancer-associated fibroblasts and reduced estimated CD8 Conclusion: This integrative analysis identifies BDKRB1 as a microenvironment-associated marker linking genomic instability with inflammatory and immunosuppressive tumor ecosystems in ovarian cancer. Although the findings are primarily associative, they provide a systems-level perspective on immune evasion mechanisms and highlight BDKRB1 as a potential biomarker for TME characterization and therapeutic hypothesis generation.
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