Immune Checkpoint-Related Gene Prognostic Signature Characterizes the Immunosuppressive Microenvironment and Predicts Immunotherapy Response in Clear Cell Renal Cell Carcinoma
Year: 2026
Type: article
Abstract: Clear cell renal cell carcinoma (ccRCC) shows heterogeneous responses to immune checkpoint inhibitors (ICIs). We aimed to develop an immune checkpoint-related gene (ICRG) signature for risk stratification, tumor microenvironment characterization, and immunotherapy prediction. Transcriptomic and clinical data from two independent ccRCC cohorts were used for consensus clustering and construction of a prognostic ICRG signature via LASSO and Cox regression, validated internally and externally. Tumor microenvironment and immunotherapy response were assessed using ESTIMATE, ssGSEA, TIDE, and the IMmotion150 trial. LIPA function was tested in vitro. A four-gene signature (SIGLEC8, TNFSF13B, C1S, LIPA) stratified patients into high- and low-risk groups with significantly different overall survival (p < 0.001) and consistent 5-year AUC of 0.70–0.78. High-risk patients displayed an immunosuppressive microenvironment with T-cell exhaustion and upregulated checkpoints. Risk score correlated with reduced benefit from combined immunotherapy and targeted therapy (p < 0.01) and shorter progression-free survival (p = 0.0035). LIPA overexpression suppressed proliferation, migration, and invasion in CAKI-1 and CAKI-2 renal carcinoma cells. This ICRG signature serves as a potential prognostic biomarker and may aid in predicting immunotherapy response. Furthermore, LIPA showed tumor-suppressive potential, providing a rationale for future personalized treatment strategies.
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
OpenAlex ID: W7225822204