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Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma

Glioma is the most common malignant tumors in the brain. Previous studies have revealed that, as the innate immune cells in nervous system, microglia cells were involved in glioma pathology. And, the resident microglia displayed its specific biological roles which distinguished with peripheral macro...

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Autores principales: Zhang, Chunlong, Zhao, Jiaxin, Mi, Wanqi, Zhang, Yuxi, Zhong, Xiaoling, Tan, Guiyuan, Li, Feng, Li, Xia, Xu, Yanjun, Zhang, Yunpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210642/
https://www.ncbi.nlm.nih.gov/pubmed/35729639
http://dx.doi.org/10.1186/s12967-022-03475-8
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author Zhang, Chunlong
Zhao, Jiaxin
Mi, Wanqi
Zhang, Yuxi
Zhong, Xiaoling
Tan, Guiyuan
Li, Feng
Li, Xia
Xu, Yanjun
Zhang, Yunpeng
author_facet Zhang, Chunlong
Zhao, Jiaxin
Mi, Wanqi
Zhang, Yuxi
Zhong, Xiaoling
Tan, Guiyuan
Li, Feng
Li, Xia
Xu, Yanjun
Zhang, Yunpeng
author_sort Zhang, Chunlong
collection PubMed
description Glioma is the most common malignant tumors in the brain. Previous studies have revealed that, as the innate immune cells in nervous system, microglia cells were involved in glioma pathology. And, the resident microglia displayed its specific biological roles which distinguished with peripheral macrophages. In this study, an integrated analysis was performed based on public resource database to explore specific biological of microglia within glioma. Through comprehensive analysis, the biological characterization underlying two conditions, glioma microglia compared to glioma macrophage (MicT/MacT) as well as glioma microglia compared to normal microglia (MicT/MicN), were revealed. Notably, nine core MicT/MicN genes displayed closely associations with glioma recurrence and prognosis, such as P2RY2, which was analyzed in more than 2800 glioma samples from 25 studies. Furthermore, we applied a random walk based strategy to identify microglia specific subpathways and developed SubP28 signature for glioma prognostic analysis. Multiple validation data sets confirmed the predictive performance of SubP28 and involvement in molecular subtypes. The associations between SuP28 score and microglia M1/M2 polarization were also explored for both GBM and LGG types. Finally, a comprehensive drug-subpathway network was established for screening candidate medicable molecules (drugs) and identifying therapeutic subpathway targets. In conclusions, the comprehensive analysis of microglia related gene and functional signatures in glioma pathobiologic events by large-scale data sets displayed a framework to dissect inner connection between microglia and glioma, and identify robust signature for glioma clinical implications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03475-8.
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spelling pubmed-92106422022-06-22 Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma Zhang, Chunlong Zhao, Jiaxin Mi, Wanqi Zhang, Yuxi Zhong, Xiaoling Tan, Guiyuan Li, Feng Li, Xia Xu, Yanjun Zhang, Yunpeng J Transl Med Research Glioma is the most common malignant tumors in the brain. Previous studies have revealed that, as the innate immune cells in nervous system, microglia cells were involved in glioma pathology. And, the resident microglia displayed its specific biological roles which distinguished with peripheral macrophages. In this study, an integrated analysis was performed based on public resource database to explore specific biological of microglia within glioma. Through comprehensive analysis, the biological characterization underlying two conditions, glioma microglia compared to glioma macrophage (MicT/MacT) as well as glioma microglia compared to normal microglia (MicT/MicN), were revealed. Notably, nine core MicT/MicN genes displayed closely associations with glioma recurrence and prognosis, such as P2RY2, which was analyzed in more than 2800 glioma samples from 25 studies. Furthermore, we applied a random walk based strategy to identify microglia specific subpathways and developed SubP28 signature for glioma prognostic analysis. Multiple validation data sets confirmed the predictive performance of SubP28 and involvement in molecular subtypes. The associations between SuP28 score and microglia M1/M2 polarization were also explored for both GBM and LGG types. Finally, a comprehensive drug-subpathway network was established for screening candidate medicable molecules (drugs) and identifying therapeutic subpathway targets. In conclusions, the comprehensive analysis of microglia related gene and functional signatures in glioma pathobiologic events by large-scale data sets displayed a framework to dissect inner connection between microglia and glioma, and identify robust signature for glioma clinical implications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03475-8. BioMed Central 2022-06-21 /pmc/articles/PMC9210642/ /pubmed/35729639 http://dx.doi.org/10.1186/s12967-022-03475-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Chunlong
Zhao, Jiaxin
Mi, Wanqi
Zhang, Yuxi
Zhong, Xiaoling
Tan, Guiyuan
Li, Feng
Li, Xia
Xu, Yanjun
Zhang, Yunpeng
Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title_full Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title_fullStr Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title_full_unstemmed Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title_short Comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
title_sort comprehensive analysis of microglia gene and subpathway signatures for glioma prognosis and drug screening: linking microglia to glioma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210642/
https://www.ncbi.nlm.nih.gov/pubmed/35729639
http://dx.doi.org/10.1186/s12967-022-03475-8
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