Cargando…

Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma

Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors, which is difficult to be diagnosed at an early stage due to its poor prognosis. Despite the fact that PANoptosis is important in the occurrence and development of tumors, no bioinformatic explanation related to PANopto...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Zhengwei, Zhang, Feng, Pang, Ping, Li, Yapeng, Chen, Xiaoning, Sun, Shibo, Bian, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267832/
https://www.ncbi.nlm.nih.gov/pubmed/37325556
http://dx.doi.org/10.3389/fcell.2023.1210456
_version_ 1785059010232188928
author Zhang, Zhengwei
Zhang, Feng
Pang, Ping
Li, Yapeng
Chen, Xiaoning
Sun, Shibo
Bian, Yu
author_facet Zhang, Zhengwei
Zhang, Feng
Pang, Ping
Li, Yapeng
Chen, Xiaoning
Sun, Shibo
Bian, Yu
author_sort Zhang, Zhengwei
collection PubMed
description Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors, which is difficult to be diagnosed at an early stage due to its poor prognosis. Despite the fact that PANoptosis is important in the occurrence and development of tumors, no bioinformatic explanation related to PANoptosis in LIHC can be found. A bioinformatics analysis on the data of LIHC patients in TCGA database was carried out on the basis of previously identified PANoptosis-related genes (PRGs). LIHC patients were divided into two PRG clusters whose gene characteristics of differentially expressed genes (DEGs) were discussed. According to DEGs, the patients were further divided into two DEG clusters, and prognostic-related DEGs (PRDEGs) were applied to risk score calculation, the latter of which turned out to be practical in identifying the relationship among risk score, patient prognosis, and immune landscape. The results suggested that PRGs and relevant clusters were bound up with the survival and immunity of patients. Moreover, the prognostic value based on two PRDEGs was evaluated, the risk scoring model was constructed, and the nomogram model for predicting the survival rate of patients was further developed. Therefore, it was found that the prognosis of the high-risk subgroup was poor. Additionally, three factors, namely, the abundance of immune cells, the expression of immune checkpoints, and immunotherapy and chemotherapy were considered to be associated with the risk score. RT-qPCR results indicated higher positive expression of CD8A and CXCL6 in both LIHC tissues and most human liver cancer cell lines. In summary, the results suggested that PANoptosis was bound up with LIHC-related survival and immunity. Two PRDEGs were identified as potential markers. Thus, the understanding of PANoptosis in LIHC was enriched, with some strategies provided for the clinical therapy of LIHC.
format Online
Article
Text
id pubmed-10267832
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102678322023-06-15 Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma Zhang, Zhengwei Zhang, Feng Pang, Ping Li, Yapeng Chen, Xiaoning Sun, Shibo Bian, Yu Front Cell Dev Biol Cell and Developmental Biology Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors, which is difficult to be diagnosed at an early stage due to its poor prognosis. Despite the fact that PANoptosis is important in the occurrence and development of tumors, no bioinformatic explanation related to PANoptosis in LIHC can be found. A bioinformatics analysis on the data of LIHC patients in TCGA database was carried out on the basis of previously identified PANoptosis-related genes (PRGs). LIHC patients were divided into two PRG clusters whose gene characteristics of differentially expressed genes (DEGs) were discussed. According to DEGs, the patients were further divided into two DEG clusters, and prognostic-related DEGs (PRDEGs) were applied to risk score calculation, the latter of which turned out to be practical in identifying the relationship among risk score, patient prognosis, and immune landscape. The results suggested that PRGs and relevant clusters were bound up with the survival and immunity of patients. Moreover, the prognostic value based on two PRDEGs was evaluated, the risk scoring model was constructed, and the nomogram model for predicting the survival rate of patients was further developed. Therefore, it was found that the prognosis of the high-risk subgroup was poor. Additionally, three factors, namely, the abundance of immune cells, the expression of immune checkpoints, and immunotherapy and chemotherapy were considered to be associated with the risk score. RT-qPCR results indicated higher positive expression of CD8A and CXCL6 in both LIHC tissues and most human liver cancer cell lines. In summary, the results suggested that PANoptosis was bound up with LIHC-related survival and immunity. Two PRDEGs were identified as potential markers. Thus, the understanding of PANoptosis in LIHC was enriched, with some strategies provided for the clinical therapy of LIHC. Frontiers Media S.A. 2023-05-30 /pmc/articles/PMC10267832/ /pubmed/37325556 http://dx.doi.org/10.3389/fcell.2023.1210456 Text en Copyright © 2023 Zhang, Zhang, Pang, Li, Chen, Sun and Bian. 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 Cell and Developmental Biology
Zhang, Zhengwei
Zhang, Feng
Pang, Ping
Li, Yapeng
Chen, Xiaoning
Sun, Shibo
Bian, Yu
Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title_full Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title_fullStr Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title_full_unstemmed Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title_short Identification of PANoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
title_sort identification of panoptosis-relevant subgroups to evaluate the prognosis and immune landscape of patients with liver hepatocellular carcinoma
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267832/
https://www.ncbi.nlm.nih.gov/pubmed/37325556
http://dx.doi.org/10.3389/fcell.2023.1210456
work_keys_str_mv AT zhangzhengwei identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT zhangfeng identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT pangping identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT liyapeng identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT chenxiaoning identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT sunshibo identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma
AT bianyu identificationofpanoptosisrelevantsubgroupstoevaluatetheprognosisandimmunelandscapeofpatientswithliverhepatocellularcarcinoma