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Abstract：
Cyclin-dependent kinases (CDKs) play an important role in cell division. Given that abnormal cell proliferation caused by dysregulation of cell division is one of the major causes of endometrial cancer (EC), it is important to elucidate the role of CDK family genes in the diagnosis and prognosis of EC. In this study, The Cancer Genome Atlas (TCGA) database was used to analyze the frequency of copy number variations and somatic mutations in 26 CDK family genes. Subsequently, the expression of these genes in EC was assessed, and their relationship with overall survival (OS) was examined via Kaplan-Meier analysis to assess their prognostic significance. A prognostic model based on seven CDK genes was constructed using Lasso and Cox regression, and the predictive performance of the model was analyzed using Kaplan-Meier analysis and column line plots. The correlation between CDK genes and immune cells was also examined. Patients with EC in the high-risk group had a poorer prognosis. The results of qRT-PCR and immunohistochemical analyses validated that CDK16 is highly expressed in EC tissues. Patients with EC with high CDK16 expression had worse 10-year OS than patients with low CDK16 expression. These findings suggest that the prognostic model constructed based on CDK genes can help to develop individualized and targeted treatment strategies for patients with EC.
摘要：
细胞周期蛋白依赖性激酶（CDK）在细胞分裂中起重要作用。鉴于细胞分裂失调引起的细胞增殖异常是子宫内膜癌（EC）的主要原因之一，阐明CDK家族基因在EC诊断和预后中的作用具有重要意义。在这项研究中,癌症基因组图谱(TCGA)数据库用于分析26个CDK家族基因中的拷贝数变异和体细胞突变的频率。随后，评估了这些基因在EC中的表达，并通过Kaplan-Meier分析检查其与总生存期(OS)的关系,以评估其预后意义.使用Lasso和Cox回归构建了基于7个CDK基因的预后模型，并利用Kaplan-Meier分析和柱线图对模型的预测性能进行了分析。还检查了CDK基因与免疫细胞之间的相关性。高风险组的EC患者预后较差。qRT-PCR和免疫组织化学分析的结果验证了CDK16在EC组织中高度表达。CDK16高表达的EC患者的10年OS比CDK16低表达的患者差。这些发现表明，基于CDK基因构建的预后模型有助于制定针对EC患者的个体化和靶向治疗策略。
