Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma

The expression and function of CD163 in glioma are not fully understood. In this report, we collected totally 1323 glioma samples from the Chinese Glioma Genome Atlas (CGGA) dataset, including 325 RNA-seq data and 301 mRNA microarray data, and 697 glioma samples from The Cancer Genome Atlas (TCGA) d...

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Main Authors: Shasha Liu, Chaoqi Zhang, Nomathamsanqa Resegofetse Maimela, Li Yang, Zhen Zhang, Yu Ping, Lan Huang, Yi Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:OncoImmunology
Subjects:
Online Access:http://dx.doi.org/10.1080/2162402X.2019.1601478
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spelling doaj-2c45bf6c559b42a48e7b4737fea46bb72020-11-25T03:04:25ZengTaylor & Francis GroupOncoImmunology2162-402X2019-07-018710.1080/2162402X.2019.16014781601478Molecular and clinical characterization of CD163 expression via large-scale analysis in gliomaShasha Liu0Chaoqi Zhang1Nomathamsanqa Resegofetse Maimela2Li Yang3Zhen Zhang4Yu Ping5Lan Huang6Yi Zhang7The First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe First Affiliated Hospital of Zhengzhou UniversityThe expression and function of CD163 in glioma are not fully understood. In this report, we collected totally 1323 glioma samples from the Chinese Glioma Genome Atlas (CGGA) dataset, including 325 RNA-seq data and 301 mRNA microarray data, and 697 glioma samples from The Cancer Genome Atlas (TCGA) dataset to characterize the molecular and clinical features of CD163 in glioma by conducting a large-scale study. We found that CD163 expression was positively associated with the grade of malignancy of glioma. CD163 expression was up-regulated in IDH wild-type glioma and mesenchymal subtype. Gene ontology analysis suggested that CD163-related genes were more involved in immune response and angiogenesis in glioma. Moreover, CD163 showed a positive relationship with stromal and immune cell populations. Kaplan–Meier curves analysis revealed that higher CD163 expression indicated significantly poor survival in glioma and glioblastoma multiforme (GBM). Pearson correlation analysis revealed that CD163 was robustly associated with the immune checkpoints and other macrophage markers. These results demonstrated that CD163 predicts poor prognosis in glioma patients. Additionally, combination of CD163 and immune checkpoints may impair angiogenesis and reverse dysfunctional phenotypes of T cells, which suggest that CD163 may be a promising biomarker and target for immunotherapeutic strategies. Abbreviations: CGGA: Chinese Glioma Genome Atlas; TCGA: The Cancer Genome Atlas; TAMs: Tumor associated macrophages; IDH: isocitrate dehydrogenase; GBM: glioblastomahttp://dx.doi.org/10.1080/2162402X.2019.1601478cd163gliomaimmunotherapyprognosisimmune checkpoint
collection DOAJ
language English
format Article
sources DOAJ
author Shasha Liu
Chaoqi Zhang
Nomathamsanqa Resegofetse Maimela
Li Yang
Zhen Zhang
Yu Ping
Lan Huang
Yi Zhang
spellingShingle Shasha Liu
Chaoqi Zhang
Nomathamsanqa Resegofetse Maimela
Li Yang
Zhen Zhang
Yu Ping
Lan Huang
Yi Zhang
Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
OncoImmunology
cd163
glioma
immunotherapy
prognosis
immune checkpoint
author_facet Shasha Liu
Chaoqi Zhang
Nomathamsanqa Resegofetse Maimela
Li Yang
Zhen Zhang
Yu Ping
Lan Huang
Yi Zhang
author_sort Shasha Liu
title Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
title_short Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
title_full Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
title_fullStr Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
title_full_unstemmed Molecular and clinical characterization of CD163 expression via large-scale analysis in glioma
title_sort molecular and clinical characterization of cd163 expression via large-scale analysis in glioma
publisher Taylor & Francis Group
series OncoImmunology
issn 2162-402X
publishDate 2019-07-01
description The expression and function of CD163 in glioma are not fully understood. In this report, we collected totally 1323 glioma samples from the Chinese Glioma Genome Atlas (CGGA) dataset, including 325 RNA-seq data and 301 mRNA microarray data, and 697 glioma samples from The Cancer Genome Atlas (TCGA) dataset to characterize the molecular and clinical features of CD163 in glioma by conducting a large-scale study. We found that CD163 expression was positively associated with the grade of malignancy of glioma. CD163 expression was up-regulated in IDH wild-type glioma and mesenchymal subtype. Gene ontology analysis suggested that CD163-related genes were more involved in immune response and angiogenesis in glioma. Moreover, CD163 showed a positive relationship with stromal and immune cell populations. Kaplan–Meier curves analysis revealed that higher CD163 expression indicated significantly poor survival in glioma and glioblastoma multiforme (GBM). Pearson correlation analysis revealed that CD163 was robustly associated with the immune checkpoints and other macrophage markers. These results demonstrated that CD163 predicts poor prognosis in glioma patients. Additionally, combination of CD163 and immune checkpoints may impair angiogenesis and reverse dysfunctional phenotypes of T cells, which suggest that CD163 may be a promising biomarker and target for immunotherapeutic strategies. Abbreviations: CGGA: Chinese Glioma Genome Atlas; TCGA: The Cancer Genome Atlas; TAMs: Tumor associated macrophages; IDH: isocitrate dehydrogenase; GBM: glioblastoma
topic cd163
glioma
immunotherapy
prognosis
immune checkpoint
url http://dx.doi.org/10.1080/2162402X.2019.1601478
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