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The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma
Objective: Hepatocellular carcinoma (HCC) is a genetically and phenotypically heterogeneous tumor, and the prediction of its prognosis remains a challenge. In the past decade, studies elucidating the mechanisms that induce tumor cell pyroptosis has rapidly increased. The elucidation of their mechani...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762168/ https://www.ncbi.nlm.nih.gov/pubmed/35047554 http://dx.doi.org/10.3389/fmolb.2021.781427 |
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author | Zhang, Shuqiao Li, Xinyu Zhang, Xiang Zhang, Shijun Tang, Chunzhi Kuang, Weihong |
author_facet | Zhang, Shuqiao Li, Xinyu Zhang, Xiang Zhang, Shijun Tang, Chunzhi Kuang, Weihong |
author_sort | Zhang, Shuqiao |
collection | PubMed |
description | Objective: Hepatocellular carcinoma (HCC) is a genetically and phenotypically heterogeneous tumor, and the prediction of its prognosis remains a challenge. In the past decade, studies elucidating the mechanisms that induce tumor cell pyroptosis has rapidly increased. The elucidation of their mechanisms is essential for the clinical development optimal application of anti-hepatocellular carcinoma therapeutics. Methods: Based on the different expression profiles of pyroptosis-related genes in HCC, we constructed a LASSO Cox regression pyroptosis-related genes signature that could more accurately predict the prognosis of HCC patients. Results: We identified seven pyroptosis-related genes signature (BAK1, CHMP4B, GSDMC, NLRP6, NOD2, PLCG1, SCAF11) in predicting the prognosis of HCC patients. Kaplan Meier survival analysis showed that the pyroptosis-related high-risk gene signature was associated with poor prognosis HCC patients. Moreover, the pyroptosis-related genes signature performed well in the survival analysis and ICGC validation group. The hybrid nomogram and calibration curve further demonstrated their feasibility and accuracy for predicting the prognosis of HCC patients. Meanwhile, the evaluation revealed that our novel signature predicted the prognosis of HCC patients more accurately than traditional clinicopathological features. GSEA analysis further revealed the novel signature associated mechanisms of immunity response in high-risk groups. Moreover, analysis of immune cell subsets with relevant functions revealed significant differences in aDCs, APC co-stimulation, CCR, check-point, iDCs, Macrophages, MHC class-I, Treg, and type II INF response between high- and low-risk groups. Finally, the expression of Immune checkpoints was enhanced in high-risk group, and m6A-related modifications were expressed differently between low- and high-risk groups. Conclusion: The novel pyroptosis-related genes signature can predict the prognosis of patients with HCC and insight into new cell death targeted therapies. |
format | Online Article Text |
id | pubmed-8762168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87621682022-01-18 The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma Zhang, Shuqiao Li, Xinyu Zhang, Xiang Zhang, Shijun Tang, Chunzhi Kuang, Weihong Front Mol Biosci Molecular Biosciences Objective: Hepatocellular carcinoma (HCC) is a genetically and phenotypically heterogeneous tumor, and the prediction of its prognosis remains a challenge. In the past decade, studies elucidating the mechanisms that induce tumor cell pyroptosis has rapidly increased. The elucidation of their mechanisms is essential for the clinical development optimal application of anti-hepatocellular carcinoma therapeutics. Methods: Based on the different expression profiles of pyroptosis-related genes in HCC, we constructed a LASSO Cox regression pyroptosis-related genes signature that could more accurately predict the prognosis of HCC patients. Results: We identified seven pyroptosis-related genes signature (BAK1, CHMP4B, GSDMC, NLRP6, NOD2, PLCG1, SCAF11) in predicting the prognosis of HCC patients. Kaplan Meier survival analysis showed that the pyroptosis-related high-risk gene signature was associated with poor prognosis HCC patients. Moreover, the pyroptosis-related genes signature performed well in the survival analysis and ICGC validation group. The hybrid nomogram and calibration curve further demonstrated their feasibility and accuracy for predicting the prognosis of HCC patients. Meanwhile, the evaluation revealed that our novel signature predicted the prognosis of HCC patients more accurately than traditional clinicopathological features. GSEA analysis further revealed the novel signature associated mechanisms of immunity response in high-risk groups. Moreover, analysis of immune cell subsets with relevant functions revealed significant differences in aDCs, APC co-stimulation, CCR, check-point, iDCs, Macrophages, MHC class-I, Treg, and type II INF response between high- and low-risk groups. Finally, the expression of Immune checkpoints was enhanced in high-risk group, and m6A-related modifications were expressed differently between low- and high-risk groups. Conclusion: The novel pyroptosis-related genes signature can predict the prognosis of patients with HCC and insight into new cell death targeted therapies. Frontiers Media S.A. 2022-01-03 /pmc/articles/PMC8762168/ /pubmed/35047554 http://dx.doi.org/10.3389/fmolb.2021.781427 Text en Copyright © 2022 Zhang, Li, Zhang, Zhang, Tang and Kuang. 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 | Molecular Biosciences Zhang, Shuqiao Li, Xinyu Zhang, Xiang Zhang, Shijun Tang, Chunzhi Kuang, Weihong The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title | The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title_full | The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title_fullStr | The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title_full_unstemmed | The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title_short | The Pyroptosis-Related Gene Signature Predicts the Prognosis of Hepatocellular Carcinoma |
title_sort | pyroptosis-related gene signature predicts the prognosis of hepatocellular carcinoma |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762168/ https://www.ncbi.nlm.nih.gov/pubmed/35047554 http://dx.doi.org/10.3389/fmolb.2021.781427 |
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