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A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor with a very poor prognosis. Pyroptosis is an inflammatory form of cell death and plays an important role in cancer development. The prognostic value of pyroptosis-related genes (PRGs) in HCC has not been studied extensively. METH...
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/PMC9164458/ https://www.ncbi.nlm.nih.gov/pubmed/35659304 http://dx.doi.org/10.1186/s12957-022-02617-y |
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author | Jin, Yifeng Pu, Xiaofan Ping, Dongnan Huang, Chaojie Ding, Guoping Cao, Liping |
author_facet | Jin, Yifeng Pu, Xiaofan Ping, Dongnan Huang, Chaojie Ding, Guoping Cao, Liping |
author_sort | Jin, Yifeng |
collection | PubMed |
description | BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor with a very poor prognosis. Pyroptosis is an inflammatory form of cell death and plays an important role in cancer development. The prognostic value of pyroptosis-related genes (PRGs) in HCC has not been studied extensively. METHODS: Unsupervised consensus clustering analysis was performed to identify two subtypes based on the expression profiles of prognostic PRGs in the The Cancer Genome Atlas (TCGA) database, and the differences between the two subtypes were compared. A prognostic model based on four PRGs was established by further least absolute shrinkage and selection operator (LASSO) Cox regression analysis and multivariate Cox regression analysis. RESULTS: Two subtypes (clusters 1 and 2) were identified by consensus clustering based on prognostic PRGs in HCC. Survival outcomes, biological function, genomic alterations, immune cell infiltration, and immune checkpoint genes were compared between the subtypes. Cluster 2 had a worse survival outcome than cluster 1. Cluster 2 was enriched for hallmarks of cancer progression, TP53 mutation, tumor-promoting immune cells, and immune checkpoint genes, which may contribute to the poor prognosis. A prognostic risk signature that predicted the overall survival (OS) of patients was constructed and validated. Consequently, a risk score was calculated for each patient. Combined with the clinical characteristics, the risk score was found to be an independent prognostic factor for survival of HCC patients. Further analysis revealed that the risk score was closely associated with the levels of immune cell infiltration and the expression profiles of immune checkpoint genes. CONCLUSIONS: Collectively, our study established a prognostic risk signature for HCC and revealed a significant correlation between pyroptosis and the HCC immune microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02617-y. |
format | Online Article Text |
id | pubmed-9164458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91644582022-06-05 A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma Jin, Yifeng Pu, Xiaofan Ping, Dongnan Huang, Chaojie Ding, Guoping Cao, Liping World J Surg Oncol Research BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor with a very poor prognosis. Pyroptosis is an inflammatory form of cell death and plays an important role in cancer development. The prognostic value of pyroptosis-related genes (PRGs) in HCC has not been studied extensively. METHODS: Unsupervised consensus clustering analysis was performed to identify two subtypes based on the expression profiles of prognostic PRGs in the The Cancer Genome Atlas (TCGA) database, and the differences between the two subtypes were compared. A prognostic model based on four PRGs was established by further least absolute shrinkage and selection operator (LASSO) Cox regression analysis and multivariate Cox regression analysis. RESULTS: Two subtypes (clusters 1 and 2) were identified by consensus clustering based on prognostic PRGs in HCC. Survival outcomes, biological function, genomic alterations, immune cell infiltration, and immune checkpoint genes were compared between the subtypes. Cluster 2 had a worse survival outcome than cluster 1. Cluster 2 was enriched for hallmarks of cancer progression, TP53 mutation, tumor-promoting immune cells, and immune checkpoint genes, which may contribute to the poor prognosis. A prognostic risk signature that predicted the overall survival (OS) of patients was constructed and validated. Consequently, a risk score was calculated for each patient. Combined with the clinical characteristics, the risk score was found to be an independent prognostic factor for survival of HCC patients. Further analysis revealed that the risk score was closely associated with the levels of immune cell infiltration and the expression profiles of immune checkpoint genes. CONCLUSIONS: Collectively, our study established a prognostic risk signature for HCC and revealed a significant correlation between pyroptosis and the HCC immune microenvironment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02617-y. BioMed Central 2022-06-03 /pmc/articles/PMC9164458/ /pubmed/35659304 http://dx.doi.org/10.1186/s12957-022-02617-y 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jin, Yifeng Pu, Xiaofan Ping, Dongnan Huang, Chaojie Ding, Guoping Cao, Liping A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title | A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title_full | A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title_fullStr | A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title_full_unstemmed | A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title_short | A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
title_sort | pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164458/ https://www.ncbi.nlm.nih.gov/pubmed/35659304 http://dx.doi.org/10.1186/s12957-022-02617-y |
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