COVID-19大流行对全球公共卫生构成严重风险。该疾病的严重程度和感染率均较高，尤其在癌症患者中更为突出。本研究旨在确定最常见的生物途径及其与COVID-19感染和透明细胞肾细胞癌（CC-RCC）的关联程度。本研究通过GEO2R工具对实验组和对照组中的差异表达基因进行分析。此外，本研究还根据STRING数据库分析了升、降调基因之间的蛋白质相互作用。此外，利用Cytoscape软件和MCODE插件进行了模块分析。结果表明，在COVID-19患者中有67个基因上调和176个基因下调。而对于被诊断为CC-RCC的病人，106个基因上调，77个基因下调。根据GO分析的结果显示，这些差异表达基因在C-X-C趋化因子受体活性和糖酵解过程中起作用。此外，KEGG分析的结果表明，HIF-1信号通路和脂质代谢之间存在遗传关联。本研究发现了在COVID-19和CC-RCC患者的代谢途径中发挥关键作用的关键基因。这些基因被认为是预防癌症患者感染并发症的有希望的治疗靶点。

COVID-19 pandemic poses a heavy risk upon global public health. The disease's severity and infection rate are high, especially among cancer patients.  The current research was conducted to identify the most common biological pathways and how far they are associated with COVID-19 infection and clear cell renal cell carcinoma. In the current study, the authors analyzed the differentially expressed genes from the experimental and control groups with the help of the GEO2R tool. The study analyzed the protein-protein interactions that occur between the upregulated and downregulated genes from both groups based on the STRING database. In addition, the module analysis was conducted with the Cytoscape software using the MCODE plugin. The outcomes infer the upregulation of 67 genes and downregulation of 176 genes among COVID-19 patients. In the case of patients diagnosed with clear cell renal cell carcinoma, 106 genes got upregulated whereas 77 genes were downregulated. As per the outcomes achieved from the GO analysis, the differentially expressed genes play a role in C-X-C chemokine receptor activity and glycolytic process. Further, the results from the KEGG analysis establish the presence of a genetic association between HIF-1 signaling and lipid metabolism. The current study found the key genes that play a crucial role in the metabolic pathways of COVID-19 and clear cell renal cell carcinoma patients. These genes are found to be promising therapeutic targets in the prevention of complications of infection among cancer patients.