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Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme

BACKGROUND: Glioblastoma multiforme (GBM) is the most common and aggressive primary malignancy in adults with high aggression. The prognosis of GBM patients is poor. There is a critical need for novel biomarkers for the prognosis and therapy of GBM. METHODS: Differentially expressed genes (DEGs) in...

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Autores principales: Li, Hao, Wang, Di, Yi, Bolong, Cai, Heng, Xi, Zhuo, Lou, Xin, Li, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363458/
https://www.ncbi.nlm.nih.gov/pubmed/34395626
http://dx.doi.org/10.1155/2021/8357585
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author Li, Hao
Wang, Di
Yi, Bolong
Cai, Heng
Xi, Zhuo
Lou, Xin
Li, Zhen
author_facet Li, Hao
Wang, Di
Yi, Bolong
Cai, Heng
Xi, Zhuo
Lou, Xin
Li, Zhen
author_sort Li, Hao
collection PubMed
description BACKGROUND: Glioblastoma multiforme (GBM) is the most common and aggressive primary malignancy in adults with high aggression. The prognosis of GBM patients is poor. There is a critical need for novel biomarkers for the prognosis and therapy of GBM. METHODS: Differentially expressed genes (DEGs) in GBM were screened using TCGA cohort. Univariate and multivariate Cox regression analyses were performed on DEGs to identify the optimal prognosis-related genes. qRT-PCR was performed to verify the result. RESULTS: A total of 5216 DEGs, including 2785 upregulated and 2458 downregulated genes, were obtained. Enrichment analysis revealed that these DEGs were mainly involved in the p53 signaling pathway and cell cycle, immune response, and MAPK signaling pathways. Moreover, the top 50 DEGs were associated with drug resistance or drug sensitivity. Prognosis analysis revealed that GBM patients with a high expression of CD163 and CHI3L2 had a poor overall survival, prognosis-free survival, and disease-specific survival. The univariate and multivariate analyses revealed that CD163 and age were independent factors affecting the prognosis of GBM patients. A validation study revealed that CD163 was upregulated in GBM tissues and associated with poor overall survival. Moreover, further analysis revealed that CD163 showed significant correlation with immune cells, immune biomarkers, chemokines, and chemokine receptors. We also identified several CD163-associated kinase, miRNA, and transcription factor targets in GBM, including LCK, miR-483, and ELF1. CONCLUSIONS: In conclusion, our study suggested CD163 as a prognostic biomarker and associated it with immune infiltration in GBM.
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spelling pubmed-83634582021-08-14 Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme Li, Hao Wang, Di Yi, Bolong Cai, Heng Xi, Zhuo Lou, Xin Li, Zhen Biomed Res Int Research Article BACKGROUND: Glioblastoma multiforme (GBM) is the most common and aggressive primary malignancy in adults with high aggression. The prognosis of GBM patients is poor. There is a critical need for novel biomarkers for the prognosis and therapy of GBM. METHODS: Differentially expressed genes (DEGs) in GBM were screened using TCGA cohort. Univariate and multivariate Cox regression analyses were performed on DEGs to identify the optimal prognosis-related genes. qRT-PCR was performed to verify the result. RESULTS: A total of 5216 DEGs, including 2785 upregulated and 2458 downregulated genes, were obtained. Enrichment analysis revealed that these DEGs were mainly involved in the p53 signaling pathway and cell cycle, immune response, and MAPK signaling pathways. Moreover, the top 50 DEGs were associated with drug resistance or drug sensitivity. Prognosis analysis revealed that GBM patients with a high expression of CD163 and CHI3L2 had a poor overall survival, prognosis-free survival, and disease-specific survival. The univariate and multivariate analyses revealed that CD163 and age were independent factors affecting the prognosis of GBM patients. A validation study revealed that CD163 was upregulated in GBM tissues and associated with poor overall survival. Moreover, further analysis revealed that CD163 showed significant correlation with immune cells, immune biomarkers, chemokines, and chemokine receptors. We also identified several CD163-associated kinase, miRNA, and transcription factor targets in GBM, including LCK, miR-483, and ELF1. CONCLUSIONS: In conclusion, our study suggested CD163 as a prognostic biomarker and associated it with immune infiltration in GBM. Hindawi 2021-08-05 /pmc/articles/PMC8363458/ /pubmed/34395626 http://dx.doi.org/10.1155/2021/8357585 Text en Copyright © 2021 Hao Li 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
Li, Hao
Wang, Di
Yi, Bolong
Cai, Heng
Xi, Zhuo
Lou, Xin
Li, Zhen
Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title_full Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title_fullStr Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title_full_unstemmed Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title_short Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme
title_sort comprehensive analysis of cd163 as a prognostic biomarker and associated with immune infiltration in glioblastoma multiforme
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363458/
https://www.ncbi.nlm.nih.gov/pubmed/34395626
http://dx.doi.org/10.1155/2021/8357585
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