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APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma

Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprote...

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Autores principales: Zhu, Hua, Hu, Xinyao, Feng, Shi, Li, Yuntao, Zhang, Yonggang, Qiu, Sheng, Chen, Ran, Ye, Yingze, Gu, Lijuan, Jian, Zhihong, Xu, Ximing, Xiong, Xiaoxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572388/
https://www.ncbi.nlm.nih.gov/pubmed/36233633
http://dx.doi.org/10.3390/jcm11195765
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author Zhu, Hua
Hu, Xinyao
Feng, Shi
Li, Yuntao
Zhang, Yonggang
Qiu, Sheng
Chen, Ran
Ye, Yingze
Gu, Lijuan
Jian, Zhihong
Xu, Ximing
Xiong, Xiaoxing
author_facet Zhu, Hua
Hu, Xinyao
Feng, Shi
Li, Yuntao
Zhang, Yonggang
Qiu, Sheng
Chen, Ran
Ye, Yingze
Gu, Lijuan
Jian, Zhihong
Xu, Ximing
Xiong, Xiaoxing
author_sort Zhu, Hua
collection PubMed
description Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprotein L4 (APOL4) in glioma. We downloaded the expression data of APOL4 and clinical information from several databases and used R software for preprocessing. The clinical significance of APOL4 in a glioma outcome was explored by the Cox regression analysis and Kaplan–Meier survival analysis. In addition, immune infiltrates and microenvironmental indicators were assessed by CIBERSORT and TIMER. GO and KEGG analyses were used to analyze the potential functions of APOL4 in gliomas. APOL4 expression was increased in glioma specimens compared to normal tissues and correlated dramatically with the WHO grade. A survival analysis showed a shorter overall survival (OS) in glioma patients with APOL4 overexpression, and a Cox regression analysis showed that APOL4 was an independent prognostic factor for the OS of glioma patients. GSEA, GO, and KEGG enrichment analyses showed remarkable enrichment in immune-related pathways. APOL4 expression was positively correlated with immune infiltration (including DC cells, neutrophils, CD8+ T cells, B cells, macrophages, CD4+ T cells, etc.) and microenvironmental parameters (including immune, stromal, and ESTIMATE scores) in gliomas. Glioma patients with a higher expression of APOL4 may be more sensitive to immune checkpoint inhibitors (ICI). In conclusion, these findings suggest that APOL4 is associated with the tumor grade and immune infiltrates; APOL4 may be a new and potential biomarker for therapeutic and prognostic evaluations that may further suggest the therapeutic efficacy of immunotherapy.
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spelling pubmed-95723882022-10-17 APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma Zhu, Hua Hu, Xinyao Feng, Shi Li, Yuntao Zhang, Yonggang Qiu, Sheng Chen, Ran Ye, Yingze Gu, Lijuan Jian, Zhihong Xu, Ximing Xiong, Xiaoxing J Clin Med Article Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprotein L4 (APOL4) in glioma. We downloaded the expression data of APOL4 and clinical information from several databases and used R software for preprocessing. The clinical significance of APOL4 in a glioma outcome was explored by the Cox regression analysis and Kaplan–Meier survival analysis. In addition, immune infiltrates and microenvironmental indicators were assessed by CIBERSORT and TIMER. GO and KEGG analyses were used to analyze the potential functions of APOL4 in gliomas. APOL4 expression was increased in glioma specimens compared to normal tissues and correlated dramatically with the WHO grade. A survival analysis showed a shorter overall survival (OS) in glioma patients with APOL4 overexpression, and a Cox regression analysis showed that APOL4 was an independent prognostic factor for the OS of glioma patients. GSEA, GO, and KEGG enrichment analyses showed remarkable enrichment in immune-related pathways. APOL4 expression was positively correlated with immune infiltration (including DC cells, neutrophils, CD8+ T cells, B cells, macrophages, CD4+ T cells, etc.) and microenvironmental parameters (including immune, stromal, and ESTIMATE scores) in gliomas. Glioma patients with a higher expression of APOL4 may be more sensitive to immune checkpoint inhibitors (ICI). In conclusion, these findings suggest that APOL4 is associated with the tumor grade and immune infiltrates; APOL4 may be a new and potential biomarker for therapeutic and prognostic evaluations that may further suggest the therapeutic efficacy of immunotherapy. MDPI 2022-09-29 /pmc/articles/PMC9572388/ /pubmed/36233633 http://dx.doi.org/10.3390/jcm11195765 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhu, Hua
Hu, Xinyao
Feng, Shi
Li, Yuntao
Zhang, Yonggang
Qiu, Sheng
Chen, Ran
Ye, Yingze
Gu, Lijuan
Jian, Zhihong
Xu, Ximing
Xiong, Xiaoxing
APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title_full APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title_fullStr APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title_full_unstemmed APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title_short APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma
title_sort apol4, a novel immune-related prognostic biomarker for glioma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572388/
https://www.ncbi.nlm.nih.gov/pubmed/36233633
http://dx.doi.org/10.3390/jcm11195765
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