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Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma

BACKGROUND: Due to the high heterogeneity, the early diagnosis and prognostic prediction of hepatic cellular cancer (HCC) is challenging. In this study, we explored the diagnostic and prognostic value of pyroptosis-related genes (PRGs) in HCC. We downloaded the mRNA expression profiles of HCC and th...

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Autores principales: Xing, Mindan, Li, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101834/
https://www.ncbi.nlm.nih.gov/pubmed/35562678
http://dx.doi.org/10.1186/s12859-022-04726-7
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author Xing, Mindan
Li, Jia
author_facet Xing, Mindan
Li, Jia
author_sort Xing, Mindan
collection PubMed
description BACKGROUND: Due to the high heterogeneity, the early diagnosis and prognostic prediction of hepatic cellular cancer (HCC) is challenging. In this study, we explored the diagnostic and prognostic value of pyroptosis-related genes (PRGs) in HCC. We downloaded the mRNA expression profiles of HCC and the corresponding clinical data from the TCGA and ICGC databases. Fifty-one PRGs were extracted from Genecards, MsigDB, and relevant literature. The area under the receiver operating characteristic (AUC) was used to explore the diagnostic value of the PRGs. RESULTS: The results revealed that BAK1, BAX, CHMP2A, CHMP4C, CHMP6, GSDMC, and GSDMD had higher diagnostic values for HCC (AUCs > 0.8, P < 0.05). Then, univariate and multivariate analyses of 51 PRGs were performed for HCC samples, and 4 PRGs (TP53, GPX4, GSDMC, BAK1) associated with HCC prognosis were obtained and used to construct a pyroptosis-related risk model. HCC samples were divided into high-risk and low-risk groups based on the risk score’s cut-off. Kaplan–Meier curve and Log-rank test were used to compare the overall survival (OS) of two risk groups. The OS was lower in the high-risk group than in the low-risk group. In addition, the time-dependent receiver operating characteristics revealed that the risk model could be used to predict the prognosis of HCC more accurately. The risk score also resulted as an independent risk factor for HCC prognosis (TCGA: HR = 2.45, 95% CI 1.53–3.92; ICGC: HR = 2.19, 95% CI 1.39–3.46). Moreover, the AUC of the risk score for diagnosing HCC was relatively higher (TCGA: AUC = 0.840, P < 0.05; ICGC: AUC = 0.795, P < 0.05). CONCLUSIONS: In a word, BAK1, BAX, CHMP2A, CHMP4C, CHMP6, GSDMC, GSDMD, and the pyroptosis-related risk model could be used to diagnose the HCC, and the risk score also resulted as an independent risk factor for the HCC prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04726-7.
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spelling pubmed-91018342022-05-14 Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma Xing, Mindan Li, Jia BMC Bioinformatics Research BACKGROUND: Due to the high heterogeneity, the early diagnosis and prognostic prediction of hepatic cellular cancer (HCC) is challenging. In this study, we explored the diagnostic and prognostic value of pyroptosis-related genes (PRGs) in HCC. We downloaded the mRNA expression profiles of HCC and the corresponding clinical data from the TCGA and ICGC databases. Fifty-one PRGs were extracted from Genecards, MsigDB, and relevant literature. The area under the receiver operating characteristic (AUC) was used to explore the diagnostic value of the PRGs. RESULTS: The results revealed that BAK1, BAX, CHMP2A, CHMP4C, CHMP6, GSDMC, and GSDMD had higher diagnostic values for HCC (AUCs > 0.8, P < 0.05). Then, univariate and multivariate analyses of 51 PRGs were performed for HCC samples, and 4 PRGs (TP53, GPX4, GSDMC, BAK1) associated with HCC prognosis were obtained and used to construct a pyroptosis-related risk model. HCC samples were divided into high-risk and low-risk groups based on the risk score’s cut-off. Kaplan–Meier curve and Log-rank test were used to compare the overall survival (OS) of two risk groups. The OS was lower in the high-risk group than in the low-risk group. In addition, the time-dependent receiver operating characteristics revealed that the risk model could be used to predict the prognosis of HCC more accurately. The risk score also resulted as an independent risk factor for HCC prognosis (TCGA: HR = 2.45, 95% CI 1.53–3.92; ICGC: HR = 2.19, 95% CI 1.39–3.46). Moreover, the AUC of the risk score for diagnosing HCC was relatively higher (TCGA: AUC = 0.840, P < 0.05; ICGC: AUC = 0.795, P < 0.05). CONCLUSIONS: In a word, BAK1, BAX, CHMP2A, CHMP4C, CHMP6, GSDMC, GSDMD, and the pyroptosis-related risk model could be used to diagnose the HCC, and the risk score also resulted as an independent risk factor for the HCC prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04726-7. BioMed Central 2022-05-13 /pmc/articles/PMC9101834/ /pubmed/35562678 http://dx.doi.org/10.1186/s12859-022-04726-7 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
Xing, Mindan
Li, Jia
Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title_full Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title_fullStr Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title_full_unstemmed Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title_short Diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
title_sort diagnostic and prognostic values of pyroptosis-related genes for the hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101834/
https://www.ncbi.nlm.nih.gov/pubmed/35562678
http://dx.doi.org/10.1186/s12859-022-04726-7
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