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A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma

Authors :
Yongwei Chen
Yanyun Zhu
Yuanmei Dong
Huizi Li
Chumeng Gao
Guoqiang Zhu
Xiao Mi
Chengcheng Li
Yu Xu
Guoqiang Wang
Shangli Cai
Yusheng Han
Chunwei Xu
Wenxian Wang
Shizhong Yang
Wenbin Ji
Source :
Frontiers in Oncology, Vol 13 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionHepatocellular carcinoma (HCC) is one of the most invasive cancers with a low 5-year survival rate. Pyroptosis, a specialized form of cell death, has shown its association with cancer progression. However, its role in the prognosis of HCC has not been fully understood.MethodsIn our study, clinical information and mRNA expression for 1076 patients with HCC were obtained from the five public cohorts. Pyroptotic clusters were generated by unsupervised clustering based on 40 pyroptosis-related genes (PRGs) in the TCGA and ICGC cohort. A pyroptosis-related signature was constructed using least absolute shrinkage and selection operator (LASSO) regression according to differentially expressed genes (DEGs) of pyroptotic clusters. The signature was then tested in the validation cohorts (GES10142 and GSE14520) and subsequently validated in the CPTAC cohort (n=159) at both mRNA and protein levels. Response to sorafenib was explored in GSE109211.ResultsThree clusters were identified based on the 40 PRGs in the TCGA cohort. A total of 24 genes were selected based on DEGs of the above three pyroptotic clusters to construct the pyroptotic risk score. Patients with the high-risk score showed shorter overall survival (OS) compared to those with the low-risk score in the training set (P

Details

Language :
English
ISSN :
2234943X
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.3c1e1c2e14ce4029b745a4c6fa454ec7
Document Type :
article
Full Text :
https://doi.org/10.3389/fonc.2023.1085188