A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, and its prognosis remains unsatisfactory. The identification of new and effective markers is helpful for better predicting the prognosis of patients with HCC and for conducting individualized management....

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Rongqiang Liu, ZeKun Jiang, Weihao Kong, Shiyang Zheng, Tianxing Dai, Guoying Wang
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://doaj.org/article/52ad03f14eb1418291ca977d1ce64b1f
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:52ad03f14eb1418291ca977d1ce64b1f
record_format dspace
spelling oai:doaj.org-article:52ad03f14eb1418291ca977d1ce64b1f2021-12-01T17:07:43ZA Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma1664-802110.3389/fgene.2021.730732https://doaj.org/article/52ad03f14eb1418291ca977d1ce64b1f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.730732/fullhttps://doaj.org/toc/1664-8021Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, and its prognosis remains unsatisfactory. The identification of new and effective markers is helpful for better predicting the prognosis of patients with HCC and for conducting individualized management. The oncogene Aurora kinase A (AURKA) is involved in a variety of tumors; however, its role in liver cancer is poorly understood. The aim of this study was to establish AURKA-related gene signatures for predicting the prognosis of patients with HCC.Methods: We first analyzed the expression of AURKA in liver cancer and its prognostic significance in different data sets. Subsequently, we selected genes with prognostic value related to AURKA and constructed a gene signature based on them. The predictive ability of the gene signature was tested using the HCC cohort development and verification data sets. A nomogram was constructed by integrating the risk score and clinicopathological characteristics. Finally, the influence of the gene signature on the immune microenvironment in HCC was comprehensively analyzed.Results: We found that AURKA was highly expressed in HCC, and it exhibited prognostic value. We selected eight AURKA-related genes with prognostic value through the protein-protein interaction network and successfully constructed a gene signature. The nine-gene signature could effectively stratify the risk of patients with HCC and demonstrated a good ability in predicting survival. The nomogram showed good discrimination and consistency of risk scores. In addition, the high-risk group showed a higher percentage of immune cell infiltration (i.e., macrophages, myeloid dendritic cells, neutrophils, and CD4+T cells). Moreover, the immune checkpoints SIGLEC15, TIGIT, CD274, HAVCR2, and PDCD1LG2 were also higher in the high-risk group versus the low-risk group.Conclusions: This gene signature may be useful prognostic markers and therapeutic targets in patients with HCC.Rongqiang LiuZeKun JiangWeihao KongShiyang ZhengTianxing DaiGuoying WangFrontiers Media S.A.articleAURKAgene signaturehepatocellular carcinomaprognosisimmune infiltrationnomogramGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic AURKA
gene signature
hepatocellular carcinoma
prognosis
immune infiltration
nomogram
Genetics
QH426-470
spellingShingle AURKA
gene signature
hepatocellular carcinoma
prognosis
immune infiltration
nomogram
Genetics
QH426-470
Rongqiang Liu
ZeKun Jiang
Weihao Kong
Shiyang Zheng
Tianxing Dai
Guoying Wang
A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
description Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, and its prognosis remains unsatisfactory. The identification of new and effective markers is helpful for better predicting the prognosis of patients with HCC and for conducting individualized management. The oncogene Aurora kinase A (AURKA) is involved in a variety of tumors; however, its role in liver cancer is poorly understood. The aim of this study was to establish AURKA-related gene signatures for predicting the prognosis of patients with HCC.Methods: We first analyzed the expression of AURKA in liver cancer and its prognostic significance in different data sets. Subsequently, we selected genes with prognostic value related to AURKA and constructed a gene signature based on them. The predictive ability of the gene signature was tested using the HCC cohort development and verification data sets. A nomogram was constructed by integrating the risk score and clinicopathological characteristics. Finally, the influence of the gene signature on the immune microenvironment in HCC was comprehensively analyzed.Results: We found that AURKA was highly expressed in HCC, and it exhibited prognostic value. We selected eight AURKA-related genes with prognostic value through the protein-protein interaction network and successfully constructed a gene signature. The nine-gene signature could effectively stratify the risk of patients with HCC and demonstrated a good ability in predicting survival. The nomogram showed good discrimination and consistency of risk scores. In addition, the high-risk group showed a higher percentage of immune cell infiltration (i.e., macrophages, myeloid dendritic cells, neutrophils, and CD4+T cells). Moreover, the immune checkpoints SIGLEC15, TIGIT, CD274, HAVCR2, and PDCD1LG2 were also higher in the high-risk group versus the low-risk group.Conclusions: This gene signature may be useful prognostic markers and therapeutic targets in patients with HCC.
format article
author Rongqiang Liu
ZeKun Jiang
Weihao Kong
Shiyang Zheng
Tianxing Dai
Guoying Wang
author_facet Rongqiang Liu
ZeKun Jiang
Weihao Kong
Shiyang Zheng
Tianxing Dai
Guoying Wang
author_sort Rongqiang Liu
title A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
title_short A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
title_full A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
title_fullStr A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
title_full_unstemmed A Novel Nine-Gene Signature Associated With Immune Infiltration for Predicting Prognosis in Hepatocellular Carcinoma
title_sort novel nine-gene signature associated with immune infiltration for predicting prognosis in hepatocellular carcinoma
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/52ad03f14eb1418291ca977d1ce64b1f
work_keys_str_mv AT rongqiangliu anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT zekunjiang anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT weihaokong anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT shiyangzheng anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT tianxingdai anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT guoyingwang anovelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT rongqiangliu novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT zekunjiang novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT weihaokong novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT shiyangzheng novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT tianxingdai novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
AT guoyingwang novelninegenesignatureassociatedwithimmuneinfiltrationforpredictingprognosisinhepatocellularcarcinoma
_version_ 1718404749931315200