The Expression of Pyroptosis-Related Gene May Influence the Occurrence, Development, and Prognosis of Uterine Corpus Endometrial Carcinoma

Frontiers in Oncology

Jiena Li¹  Jianfeng Xiao²  Xiaoling Huang³  Yangyi Li³  Feng Xu³  Xinbin Yang⁴ 

[1] Department of Obstetrics and Gynecology, Heze Municipal Hospital, Heze, China;Department of Reproductive Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, China;Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China;Department of Thoracic Surgical Oncology, The Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China;

关键词: pyroptosis;    immune checkpoint inhibitor;    uterine corpus endometrial carcinoma;    prognostic risk model;    tumor occurrence and development;   

DOI  :  10.3389/fonc.2022.885114

来源: DOAJ

【 摘 要 】

BackgroundIncreasing 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.MethodsUCEC 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 via 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.ResultsTwenty-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.ConclusionsThe expression of pyroptosis-related gene may influence UCEC occurrence, development, and prognosis.

【 授权许可】

Unknown