A pyroptosis gene-based prognostic model for predicting survival in low-grade glioma

doi:10.7717/peerj.16412

科研成果详情

题名	A pyroptosis gene-based prognostic model for predicting survival in low-grade glioma
作者	Hua Wang1,2; Lin Yan3; Lixiao Liu 4; Xianghe Lu1,2; Yingyu Chen1; Qian Zhang1; Mengyu Chen 1; Lin Cai 5; Zhang'an Dai 1,2
发表日期	2023
发表期刊	PeerJ 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	Pyroptosis Individualized treatment Low-grade gliomas Prognosis Risk scoring model
摘要	Pyroptosis, a lytic form of programmed cell death initiated by inflammasomes, has been reported to be closely associated with tumor proliferation, invasion and metastasis. However, the roles of pyroptosis genes (PGs) in low-grade glioma (LGG) remain unclear., We obtained information for 1,681 samples, including the mRNA expression profiles of LGGs and normal brain tissues and the relevant corresponding clinical information from two public datasets, TCGA and GTEx, and identified 45 differentially expressed pyroptosis genes (DEPGs). Among these DEPGs, nine hub pyroptosis genes (HPGs) were identified and used to construct a genetic risk scoring model. A total of 476 patients, selected as the training group, were divided into low-risk and high-risk groups according to the risk score. The area under the curve (AUC) values of the receiver operating characteristic (ROC) curves verified the accuracy of the model, and a nomogram combining the risk score and clinicopathological characteristics was used to predict the overall survival (OS) of LGG patients. In addition, a cohort from the Gene Expression Omnibus (GEO) database was selected as a validation group to verify the stability of the model. qRT-PCR was used to analyze the gene expression levels of nine HPGs in paracancerous and tumor tissues from 10 LGG patients., Survival analysis showed that, compared with patients in the low-risk group, patients in the high-risk group had a poorer prognosis. A risk score model combining PG expression levels with clinical features was considered an independent risk factor. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that immune-related genes were enriched among the DEPGs and that immune activity was increased in the high-risk group., In summary, we successfully constructed a model to predict the prognosis of LGG patients, which will help to promote individualized treatment and provide potential new targets for immunotherapy.
ISSN	2167-8359
卷号	11
DOI	10.7717/peerj.16412
收录类别	PUBMED
URL	查看原文
PubMed ID	38025749
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/185837
专题	附属第一医院_神经外科附属第一医院第二临床医学院，附属第二医院、育英儿童医院_外科学_乳腺外科
作者单位	1.Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.; 2.Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.; 3.Department of Breast Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.; 4.Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.; 5.Department of Neurosurgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
第一作者单位	附属第一医院_神经外科; 附属第一医院
第一作者的第一单位	附属第一医院_神经外科
推荐引用方式 GB/T 7714	Hua Wang,Lin Yan,Lixiao Liu,et al. A pyroptosis gene-based prognostic model for predicting survival in low-grade glioma[J]. PeerJ,2023,11.
APA	Hua Wang., Lin Yan., Lixiao Liu., Xianghe Lu., Yingyu Chen., ... & Zhang'an Dai. (2023). A pyroptosis gene-based prognostic model for predicting survival in low-grade glioma. PeerJ, 11.
MLA	Hua Wang,et al."A pyroptosis gene-based prognostic model for predicting survival in low-grade glioma".PeerJ 11(2023).