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Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is the most common fatal cancer worldwide, patients with HCC have a high mortality rate and poor prognosis. PANoptosis is a novel discovery of programmed cell death associated with cancer development. However, the role of PANoptosis in HCC remains obscure. In this stud...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tech Science Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319585/ https://www.ncbi.nlm.nih.gov/pubmed/37415742 http://dx.doi.org/10.32604/or.2023.028964 |
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author | SHI, XINRUI GAO, XIA LIU, WENCONG TANG, XUEJIAO LIU, JIAYI PAN, DONGCHEN DUAN, XUEQING JIN, YUQING REN, WEIYAN YANG, LEI LIU, WENXUAN |
author_facet | SHI, XINRUI GAO, XIA LIU, WENCONG TANG, XUEJIAO LIU, JIAYI PAN, DONGCHEN DUAN, XUEQING JIN, YUQING REN, WEIYAN YANG, LEI LIU, WENXUAN |
author_sort | SHI, XINRUI |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is the most common fatal cancer worldwide, patients with HCC have a high mortality rate and poor prognosis. PANoptosis is a novel discovery of programmed cell death associated with cancer development. However, the role of PANoptosis in HCC remains obscure. In this study, we enrolled 274 PANoptosis-related genes (PANRGs) and screened 8 genes to set up a prognostic model. A previous scoring system calculated PANscore was utilized to quantify the individual risk level of each HCC patient, and the reliability of the prognostic model has been validated in an external cohort. Nomogram constructed with PANscore and clinical characteristics were used to optimize individualized treatment for each patient. Single-cell analysis revealed a PANoptosis model associated with tumor immune cell infiltration, particularly natural killer (NK) cells. Further exploration of hub genes and assessment of the prognostic role of these 4 hub genes in HCC by quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC). In conclusion, we evaluated a PANoptosis-based prognostic model as a potential prognostic biomarker for HCC patients. |
format | Online Article Text |
id | pubmed-10319585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Tech Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103195852023-07-06 Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma SHI, XINRUI GAO, XIA LIU, WENCONG TANG, XUEJIAO LIU, JIAYI PAN, DONGCHEN DUAN, XUEQING JIN, YUQING REN, WEIYAN YANG, LEI LIU, WENXUAN Oncol Res Article Hepatocellular carcinoma (HCC) is the most common fatal cancer worldwide, patients with HCC have a high mortality rate and poor prognosis. PANoptosis is a novel discovery of programmed cell death associated with cancer development. However, the role of PANoptosis in HCC remains obscure. In this study, we enrolled 274 PANoptosis-related genes (PANRGs) and screened 8 genes to set up a prognostic model. A previous scoring system calculated PANscore was utilized to quantify the individual risk level of each HCC patient, and the reliability of the prognostic model has been validated in an external cohort. Nomogram constructed with PANscore and clinical characteristics were used to optimize individualized treatment for each patient. Single-cell analysis revealed a PANoptosis model associated with tumor immune cell infiltration, particularly natural killer (NK) cells. Further exploration of hub genes and assessment of the prognostic role of these 4 hub genes in HCC by quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC). In conclusion, we evaluated a PANoptosis-based prognostic model as a potential prognostic biomarker for HCC patients. Tech Science Press 2023-06-27 /pmc/articles/PMC10319585/ /pubmed/37415742 http://dx.doi.org/10.32604/or.2023.028964 Text en © 2023 Shi et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article SHI, XINRUI GAO, XIA LIU, WENCONG TANG, XUEJIAO LIU, JIAYI PAN, DONGCHEN DUAN, XUEQING JIN, YUQING REN, WEIYAN YANG, LEI LIU, WENXUAN Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title | Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title_full | Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title_fullStr | Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title_full_unstemmed | Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title_short | Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
title_sort | construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319585/ https://www.ncbi.nlm.nih.gov/pubmed/37415742 http://dx.doi.org/10.32604/or.2023.028964 |
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