Clinical Medical College of Weifang Medical University, Weifang, China.
Department of Oncology, People's Hospital of Rizhao, Rizhao, China.
Medicine (Baltimore). 2023 Aug 25;102(34):e34786. doi: 10.1097/MD.0000000000034786.
Clear cell renal cell carcinoma (ccRCC) is associated with complex immune interactions. We conducted a comprehensive analysis of immune-related differentially expressed genes in patients with ccRCC using data from The Cancer Genome Atlas and ImmPort databases. The immune-related differentially expressed genes underwent functional and pathway enrichment analysis, followed by COX regression combined with LASSO regression to construct an immune-related risk prognostic model. The model comprised 4 IRGs: CLDN4, SEMA3G, CAT, and UCN. Patients were stratified into high-risk and low-risk groups based on the median risk score, and the overall survival rate of the high-risk group was significantly lower than that of the low-risk group, confirming the reliability of the model from various perspectives. Further comparison of immune infiltration, tumor mutation load, and immunophenoscore (IPS) comparison between the 2 groups indicates that the high-risk group could potentially demonstrate a heightened sensitivity towards immunotherapy checkpoints PD-1, CTLA-4, IL-6, and LAG3 in ccRCC patients. The proposed model not only applies to ccRCC but also shows potential in developing into a prognostic model for renal cancer, thus introducing a novel approach for personalized immunotherapy in ccRCC.
透明细胞肾细胞癌（ccRCC）与复杂的免疫相互作用有关。我们使用来自癌症基因组图谱（TCGA）和 ImmPort 数据库的数据，对 ccRCC 患者的免疫相关差异表达基因进行了全面分析。对免疫相关差异表达基因进行了功能和通路富集分析，然后进行 COX 回归和 LASSO 回归相结合构建免疫相关风险预后模型。该模型包含 4 个 IRGs：CLDN4、SEMA3G、CAT 和 UCN。根据中位数风险评分将患者分为高风险组和低风险组，高风险组的总生存率明显低于低风险组，从多个角度验证了模型的可靠性。进一步比较两组之间的免疫浸润、肿瘤突变负荷和免疫表型评分（IPS），表明高风险组在 ccRCC 患者中对免疫检查点 PD-1、CTLA-4、IL-6 和 LAG3 可能具有更高的敏感性。该模型不仅适用于 ccRCC，而且在开发肾肿瘤的预后模型方面也具有潜力，从而为 ccRCC 的个性化免疫治疗提供了一种新方法。
