基于TCGA数据库建立肾透明细胞癌预后模型并探究其免疫浸润特征
Establishing a Prognostic Model for Renal Clear Cell Carcinoma Based on TCGA Database and Exploring Its Immune Infiltration Characteristics

本研究基于TCGA数据库，采用生物信息学方法构建了肾透明细胞癌(ccRCC)的蛋白质预后模型，并探讨了其免疫浸润特征。通过蛋白组学分析筛选出8个关键蛋白质，建立了预测患者预后的模型，并通过生存分析、ROC曲线及风险曲线对模型的稳定性与准确性进行了验证，进一步应用列线图预测患者的生存期，为临床决策提供辅助工具。此外，分析了模型中蛋白质间以及模型蛋白与其他关键蛋白之间的共表达关系，揭示了它们在ccRCC中的潜在作用。研究还深入探讨了免疫细胞的表达情况，并比较了高风险组与低风险组的免疫应答差异。结果显示，免疫细胞的浸润与患者预后密切相关，高风险组显示出较低的免疫应答，提示免疫微环境可能在肾透明细胞癌的进展中起重要作用。本研究为肾透明细胞癌的个体化治疗提供了新的预后模型，并为免疫治疗的相关研究奠定了基础。
Based on the TCGA database, this study constructed a protein prognostic model for renal clear cell carcinoma using bioinformatics methods and explored its immune infiltration characteristics. Eight key proteins were identified through proteomic analysis, and a model for predicting patient prognosis was established. The stability and accuracy of the model were validated through survival analysis, ROC curve, and risk curve. Furthermore, column charts were used to predict patient survival, providing an auxiliary tool for clinical decision-making. In addition, the co expression relationships between proteins in the model and between model proteins and other key proteins were analyzed, revealing their potential roles in ccRCC. The study also delved into the expression of immune cells and compared the differences in immune responses between high-risk and low-risk groups. The results showed that the infiltration of immune cells is closely related to the prognosis of patients, and the high-risk group showed a lower immune response, suggesting that the immune microenvironment may play an important role in the progression of renal clear cell carcinoma. This study provides a new prognostic model for individualized treatment of renal clear cell carcinoma and lays the foundation for related research on immunotherapy.