焦亡相关基因的表达可能影响子宫内膜癌的发生、发展及预后。
The Expression of Pyroptosis-Related Gene May Influence the Occurrence, Development, and Prognosis of Uterine Corpus Endometrial Carcinoma.
作者信息
Huang Xiaoling, Li Yangyi, Li Jiena, Yang Xinbin, Xiao Jianfeng, Xu Feng
机构信息
Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Department of Obstetrics and Gynecology, Heze Municipal Hospital, Heze, China.
出版信息
Front Oncol. 2022 Apr 29;12:885114. doi: 10.3389/fonc.2022.885114. eCollection 2022.
BACKGROUND
Increasing evidence has demonstrated that pyroptosis exerts key roles in the occurrence, development, and prognosis of uterine corpus endometrial carcinoma (UCEC). However, the mechanism of pyroptosis and its predictive value for prognosis remain largely unknown.
METHODS
UCEC data were acquired from The Cancer Genome Atlas (TCGA) database. The differentially expressed genes in UCEC vs. normal cases were selected to perform a weighted correlation network analysis (WGCNA). Forty-two UCEC-associated pyroptosis-related genes were identified applying differential expression analysis. Protein-protein interaction (PPI) and gene correlation analyses were applied to explore the relationship between 21 UCEC key genes and 42 UCEC-associated pyroptosis-related genes. The expression of 42 UCEC-associated pyroptosis-related genes of different grades was also calculated. The immune environment of UCEC was evaluated. Furthermore, pyroptosis-related genes were filtered out by the co-expression. Univariate and a least absolute shrinkage and selection operator (LASSO) Cox analyses were implemented to yield a pyroptosis-related gene model. We also performed consensus classification to regroup UCEC samples into two clusters. A clinically relevant heatmap and survival analysis curve were implemented to explore the clinicopathological features and relationship between two clusters. Furthermore, a Kaplan-Meier survival analysis was implemented to analyze the risk model.
RESULTS
Twenty-one UCEC key genes and 42 UCEC-associated pyroptosis-related genes were identified. The PPI and gene correlation analysis showed a clear relationship. The expression of 42 UCEC-associated pyroptosis-related genes of different grades was also depicted. A risk model based on pyroptosis-related genes was then developed to forecast overall survival among UCEC patients. Finally, Cox regression analysis verified this model as an independent risk factor for UCEC patients.
CONCLUSIONS
The expression of pyroptosis-related gene may influence UCEC occurrence, development, and prognosis.
背景
越来越多的证据表明，细胞焦亡在子宫内膜癌（UCEC）的发生、发展和预后中发挥着关键作用。然而，细胞焦亡的机制及其对预后的预测价值在很大程度上仍不清楚。
方法
从癌症基因组图谱（TCGA）数据库获取UCEC数据。选择UCEC与正常病例中的差异表达基因进行加权基因共表达网络分析（WGCNA）。通过差异表达分析鉴定出42个与UCEC相关的细胞焦亡相关基因。应用蛋白质-蛋白质相互作用（PPI）和基因相关性分析来探索21个UCEC关键基因与42个与UCEC相关的细胞焦亡相关基因之间的关系。还计算了不同分级的42个与UCEC相关的细胞焦亡相关基因的表达。评估了UCEC的免疫环境。此外，通过共表达筛选出细胞焦亡相关基因。进行单因素和最小绝对收缩和选择算子（LASSO）Cox分析以生成细胞焦亡相关基因模型。我们还进行了一致性分类，将UCEC样本重新分为两个簇。实施临床相关热图和生存分析曲线以探索两个簇的临床病理特征及关系。此外，进行Kaplan-Meier生存分析以分析风险模型。
结果
鉴定出21个UCEC关键基因和42个与UCEC相关的细胞焦亡相关基因。PPI和基因相关性分析显示出明确的关系。还描绘了不同分级的42个与UCEC相关的细胞焦亡相关基因的表达。然后开发了基于细胞焦亡相关基因的风险模型来预测UCEC患者的总生存期。最后，Cox回归分析证实该模型是UCEC患者的独立危险因素。
结论
细胞焦亡相关基因的表达可能影响UCEC的发生、发展和预后。
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