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The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818170/ https://www.ncbi.nlm.nih.gov/pubmed/35123387 http://dx.doi.org/10.1186/s10020-022-00445-0 |
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author | Deng, Min Sun, Shiquan Zhao, Rongce Guan, Renguo Zhang, Zhen Li, Shaohua Wei, Wei Guo, Rongping |
author_facet | Deng, Min Sun, Shiquan Zhao, Rongce Guan, Renguo Zhang, Zhen Li, Shaohua Wei, Wei Guo, Rongping |
author_sort | Deng, Min |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs) in HCC and their relationship with prognosis are still unclear. METHODS: Our study identified 35 PRGs through bioinformatics analysis that were differentially expressed between tumor samples and nontumor samples. According to these differentially expressed genes, HCC patients could be divided into two groups, cluster 1 and cluster 2. The least absolute shrinkage and selection operator (LASSO) Cox regression method was performed to construct a 10-gene signature that classified HCC patients in the cancer genome atlas (TCGA) database into low-risk and high-risk groups. RESULTS: The results showed that the survival rate of HCC patients in the low-risk group was significantly higher than that in the high-risk group (p < 0.001). The validation cohort, the Gene Expression Omnibus (GEO) cohort, was divided into two risk groups based on the median risk score calculated by the TCGA cohort. The overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (p = 0.007). Univariate and multivariate Cox regression analyses revealed that the risk score was an independent factor in predicting OS in HCC patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that immune-related high-risk groups were rich in genes and had reduced immune status. CONCLUSIONS: PRGs play a significant role in tumor immunity and have the potential capability to predict the prognosis of HCC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00445-0. |
format | Online Article Text |
id | pubmed-8818170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88181702022-02-07 The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma Deng, Min Sun, Shiquan Zhao, Rongce Guan, Renguo Zhang, Zhen Li, Shaohua Wei, Wei Guo, Rongping Mol Med Research Article BACKGROUND: Hepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs) in HCC and their relationship with prognosis are still unclear. METHODS: Our study identified 35 PRGs through bioinformatics analysis that were differentially expressed between tumor samples and nontumor samples. According to these differentially expressed genes, HCC patients could be divided into two groups, cluster 1 and cluster 2. The least absolute shrinkage and selection operator (LASSO) Cox regression method was performed to construct a 10-gene signature that classified HCC patients in the cancer genome atlas (TCGA) database into low-risk and high-risk groups. RESULTS: The results showed that the survival rate of HCC patients in the low-risk group was significantly higher than that in the high-risk group (p < 0.001). The validation cohort, the Gene Expression Omnibus (GEO) cohort, was divided into two risk groups based on the median risk score calculated by the TCGA cohort. The overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (p = 0.007). Univariate and multivariate Cox regression analyses revealed that the risk score was an independent factor in predicting OS in HCC patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that immune-related high-risk groups were rich in genes and had reduced immune status. CONCLUSIONS: PRGs play a significant role in tumor immunity and have the potential capability to predict the prognosis of HCC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00445-0. BioMed Central 2022-02-05 /pmc/articles/PMC8818170/ /pubmed/35123387 http://dx.doi.org/10.1186/s10020-022-00445-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Deng, Min Sun, Shiquan Zhao, Rongce Guan, Renguo Zhang, Zhen Li, Shaohua Wei, Wei Guo, Rongping The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title | The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title_full | The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title_fullStr | The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title_full_unstemmed | The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title_short | The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
title_sort | pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818170/ https://www.ncbi.nlm.nih.gov/pubmed/35123387 http://dx.doi.org/10.1186/s10020-022-00445-0 |
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