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A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma
INTRODUCTION: Hepatocellular 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. METHODS: In our...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084936/ https://www.ncbi.nlm.nih.gov/pubmed/37051536 http://dx.doi.org/10.3389/fonc.2023.1085188 |
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author | Chen, Yongwei Zhu, Yanyun Dong, Yuanmei Li, Huizi Gao, Chumeng Zhu, Guoqiang Mi, Xiao Li, Chengcheng Xu, Yu Wang, Guoqiang Cai, Shangli Han, Yusheng Xu, Chunwei Wang, Wenxian Yang, Shizhong Ji, Wenbin |
author_facet | Chen, Yongwei Zhu, Yanyun Dong, Yuanmei Li, Huizi Gao, Chumeng Zhu, Guoqiang Mi, Xiao Li, Chengcheng Xu, Yu Wang, Guoqiang Cai, Shangli Han, Yusheng Xu, Chunwei Wang, Wenxian Yang, Shizhong Ji, Wenbin |
author_sort | Chen, Yongwei |
collection | PubMed |
description | INTRODUCTION: Hepatocellular 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. METHODS: In 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. RESULTS: Three 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<0.001; HR, 3.06; 95% CI, 2.22-4.24) and the test set (P=0.008; HR, 1.61; 95% CI, 1.13-2.28). The predictive ability of the risk score was further confirmed in the CPTAC cohort at both mRNAs (P<0.001; HR, 2.99; 95% CI, 1.67-5.36) and protein levels (P<0.001; HR, 2.97; 95% CI 1.66-5.31). The expression of the model genes was correlated with immune cell infiltration, angiogenesis-related genes, and sensitivity to antiangiogenic therapy (P<0.05). DISCUSSION: In conclusion, we established a prognostic signature of 24 genes based on pyroptosis clusters for HCC patients, providing insight into the risk stratification of HCC. |
format | Online Article Text |
id | pubmed-10084936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100849362023-04-11 A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma Chen, Yongwei Zhu, Yanyun Dong, Yuanmei Li, Huizi Gao, Chumeng Zhu, Guoqiang Mi, Xiao Li, Chengcheng Xu, Yu Wang, Guoqiang Cai, Shangli Han, Yusheng Xu, Chunwei Wang, Wenxian Yang, Shizhong Ji, Wenbin Front Oncol Oncology INTRODUCTION: Hepatocellular 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. METHODS: In 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. RESULTS: Three 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<0.001; HR, 3.06; 95% CI, 2.22-4.24) and the test set (P=0.008; HR, 1.61; 95% CI, 1.13-2.28). The predictive ability of the risk score was further confirmed in the CPTAC cohort at both mRNAs (P<0.001; HR, 2.99; 95% CI, 1.67-5.36) and protein levels (P<0.001; HR, 2.97; 95% CI 1.66-5.31). The expression of the model genes was correlated with immune cell infiltration, angiogenesis-related genes, and sensitivity to antiangiogenic therapy (P<0.05). DISCUSSION: In conclusion, we established a prognostic signature of 24 genes based on pyroptosis clusters for HCC patients, providing insight into the risk stratification of HCC. Frontiers Media S.A. 2023-03-27 /pmc/articles/PMC10084936/ /pubmed/37051536 http://dx.doi.org/10.3389/fonc.2023.1085188 Text en Copyright © 2023 Chen, Zhu, Dong, Li, Gao, Zhu, Mi, Li, Xu, Wang, Cai, Han, Xu, Wang, Yang and Ji https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Chen, Yongwei Zhu, Yanyun Dong, Yuanmei Li, Huizi Gao, Chumeng Zhu, Guoqiang Mi, Xiao Li, Chengcheng Xu, Yu Wang, Guoqiang Cai, Shangli Han, Yusheng Xu, Chunwei Wang, Wenxian Yang, Shizhong Ji, Wenbin A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title | A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title_full | A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title_fullStr | A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title_full_unstemmed | A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title_short | A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
title_sort | pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084936/ https://www.ncbi.nlm.nih.gov/pubmed/37051536 http://dx.doi.org/10.3389/fonc.2023.1085188 |
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