Cargando…

A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC), an aggressive malignant tumor, has a high incidence and unfavorable prognosis. Recently, the synergistic effect of pyroptosis in antitumor therapy and regulation of tumor immune microenvironment has made it possible to become a novel therapeutic method, bu...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Zhihong, Zou, Yiping, Zhang, Yuanpeng, Chen, Zhenrong, Wu, Fan, Jin, Haosheng, Shi, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763514/
https://www.ncbi.nlm.nih.gov/pubmed/35047095
http://dx.doi.org/10.1155/2022/8109771
_version_ 1784633953517305856
author Chen, Zhihong
Zou, Yiping
Zhang, Yuanpeng
Chen, Zhenrong
Wu, Fan
Jin, Haosheng
Shi, Ning
author_facet Chen, Zhihong
Zou, Yiping
Zhang, Yuanpeng
Chen, Zhenrong
Wu, Fan
Jin, Haosheng
Shi, Ning
author_sort Chen, Zhihong
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC), an aggressive malignant tumor, has a high incidence and unfavorable prognosis. Recently, the synergistic effect of pyroptosis in antitumor therapy and regulation of tumor immune microenvironment has made it possible to become a novel therapeutic method, but its potential mechanism still needs further exploration. METHODS: Differentially expressed genes with prognostic value in Liver Hepatocellular Carcinoma Project of The Cancer Genome Atlas (TCGA-LIHC) cohort were screened and incorporated into the risk signature by Cox proportional hazards regression model and least absolute shrinkage and selection operator. Kaplan-Meier (KM) curves and receiver operating characteristic (ROC) curves were applied to conduct survival comparisons and estimate prediction ability. The dataset of Liver Cancer-RIKEN, Japan Project from International Cancer Genome Consortium (ICGC-LIRI-JP) cohort was used to verify the reliability of the signature. Correlation analysis between clinicopathological characteristics, immune infiltration, drug sensitivities, and risk scores was conducted. Functional annotation analyses were performed for the genes differentially expressed between high-risk and low-risk groups. RESULTS: A risk signature consisting of 6 pyroptosis-related genes in HCC was developed and validated. KM curves and ROC curves revealed its considerable predictive accuracy. Higher risk scores meant more advanced grade, higher alpha-fetoprotein level, and stronger invasive ability. Overexpressed genes in high-risk population were more enriched in the immune-associated pathways, and these patients might be more sensitive to immune checkpoint inhibitors instead of Sorafenib. Intriguingly, 6 identified genes were promising to be prognostic biomarkers and therapeutic targets of HCC. CONCLUSIONS: The signature may have crucial clinical significance in predicting survival prognosis, immune infiltration, and drug efficacy based on pyroptosis-related genes.
format Online
Article
Text
id pubmed-8763514
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-87635142022-01-18 A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma Chen, Zhihong Zou, Yiping Zhang, Yuanpeng Chen, Zhenrong Wu, Fan Jin, Haosheng Shi, Ning Dis Markers Research Article BACKGROUND: Hepatocellular carcinoma (HCC), an aggressive malignant tumor, has a high incidence and unfavorable prognosis. Recently, the synergistic effect of pyroptosis in antitumor therapy and regulation of tumor immune microenvironment has made it possible to become a novel therapeutic method, but its potential mechanism still needs further exploration. METHODS: Differentially expressed genes with prognostic value in Liver Hepatocellular Carcinoma Project of The Cancer Genome Atlas (TCGA-LIHC) cohort were screened and incorporated into the risk signature by Cox proportional hazards regression model and least absolute shrinkage and selection operator. Kaplan-Meier (KM) curves and receiver operating characteristic (ROC) curves were applied to conduct survival comparisons and estimate prediction ability. The dataset of Liver Cancer-RIKEN, Japan Project from International Cancer Genome Consortium (ICGC-LIRI-JP) cohort was used to verify the reliability of the signature. Correlation analysis between clinicopathological characteristics, immune infiltration, drug sensitivities, and risk scores was conducted. Functional annotation analyses were performed for the genes differentially expressed between high-risk and low-risk groups. RESULTS: A risk signature consisting of 6 pyroptosis-related genes in HCC was developed and validated. KM curves and ROC curves revealed its considerable predictive accuracy. Higher risk scores meant more advanced grade, higher alpha-fetoprotein level, and stronger invasive ability. Overexpressed genes in high-risk population were more enriched in the immune-associated pathways, and these patients might be more sensitive to immune checkpoint inhibitors instead of Sorafenib. Intriguingly, 6 identified genes were promising to be prognostic biomarkers and therapeutic targets of HCC. CONCLUSIONS: The signature may have crucial clinical significance in predicting survival prognosis, immune infiltration, and drug efficacy based on pyroptosis-related genes. Hindawi 2022-01-10 /pmc/articles/PMC8763514/ /pubmed/35047095 http://dx.doi.org/10.1155/2022/8109771 Text en Copyright © 2022 Zhihong Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Zhihong
Zou, Yiping
Zhang, Yuanpeng
Chen, Zhenrong
Wu, Fan
Jin, Haosheng
Shi, Ning
A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title_full A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title_fullStr A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title_full_unstemmed A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title_short A Pyroptosis-Based Prognostic Model for Immune Microenvironment Estimation of Hepatocellular Carcinoma
title_sort pyroptosis-based prognostic model for immune microenvironment estimation of hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763514/
https://www.ncbi.nlm.nih.gov/pubmed/35047095
http://dx.doi.org/10.1155/2022/8109771
work_keys_str_mv AT chenzhihong apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT zouyiping apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT zhangyuanpeng apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT chenzhenrong apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT wufan apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT jinhaosheng apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT shining apyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT chenzhihong pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT zouyiping pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT zhangyuanpeng pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT chenzhenrong pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT wufan pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT jinhaosheng pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma
AT shining pyroptosisbasedprognosticmodelforimmunemicroenvironmentestimationofhepatocellularcarcinoma