Renal cell carcinoma (RCC) is one of the most common malignancies. The immunogenomic landscape signature significantly correlates with the progression and prognosis of RCC. Novel therapeutic targets and prognostic indices in RCC are highly desirable. The TCGA database enables comprehensive immunogenomic landscape analysis. Differentially expressed immune-related genes (IRGs) were obtained from TCGA and GO analyses, and KEGG pathway analyses were performed to explore their functions and molecular mechanisms. Multivariable Cox analysis was utilized to calculate the risk score of each patient and locate survival-associated IRGs, thereby constructing a novel immune-related gene-based prognostic index (IRGPI). The correlation between IRGPI and immune cell infiltration was also investigated. A total of 41 differentially expressed IRGs were notably related to prognosis in RCC. GO functions and KEGG pathway analyses demonstrated that these genes were primarily associated with the tumour immune response and cytokine‐cytokine receptor interaction pathway. An IRGPI based on seventeen survival-associated differentially expressed IRGs was constructed and exhibited a moderate predictive value in the prognosis of RCC patients and a powerful identification ability in refining the risk stratification of RCC patients. A close correlation was found between IRGPI and specific clinicopathological parameters, including age, gender, pathological stage, tumour stage, lymph node metastasis and distant metastasis. A positive correlation was found between IRGPI and the infiltration levels of neutrophils, dendritic cells, CD8+ T cells and B cells. Our results demonstrated the clinical significance and potential function of IRGs, providing additional data for prognostic risk prediction and immunotherapeutic target selection in RCC.

肾细胞癌（RCC）是最常见的恶性肿瘤之一。免疫基因组景观特征与RCC的进展和预后显着相关。RCC中新的治疗目标和预后指标是非常需要的。TCGA数据库可进行全面的免疫基因组景观分析。通过TCGA和GO分析获得差异表达的免疫相关基因（IRG），并进行KEGG通路分析以探索其功能和分子机制。利用多变量Cox分析来计算每位患者的风险评分，并定位与生存相关的IRG，从而构建基于免疫相关基因的新型预后指标（IRGPI）。还研究了IRPGI与免疫细胞浸润之间的相关性。共有41个差异表达的IRG与RCC的预后显着相关。GO功能和KEGG途径分析表明，这些基因主要与肿瘤免疫反应和细胞因子-细胞因子受体相互作用途径有关。构建了基于十七种与生存相关的差异表达IRG的IRGPI，并在RCC患者的预后中表现出中等的预测价值，并且在完善RCC患者的风险分层方面具有强大的识别能力。IRGPI与特定的临床病理参数之间存在密切的相关性，包括年龄，性别，病理分期，肿瘤分期，淋巴结转移和远处转移。IRGPI与嗜中性粒细胞，树突状细胞，CD8 + T细胞和B细胞的浸润水平呈正相关。