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Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma

BACKGROUND: Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma a...

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Autores principales: Yin, Wen, Zhu, Hecheng, Tan, Jun, Xin, Zhaoqi, Zhou, Quanwei, Cao, Yudong, Wu, Zhaoping, Wang, Lei, Zhao, Ming, Jiang, Xingjun, Ren, Caiping, Tang, Guihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147444/
https://www.ncbi.nlm.nih.gov/pubmed/34034744
http://dx.doi.org/10.1186/s12935-021-01982-0
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author Yin, Wen
Zhu, Hecheng
Tan, Jun
Xin, Zhaoqi
Zhou, Quanwei
Cao, Yudong
Wu, Zhaoping
Wang, Lei
Zhao, Ming
Jiang, Xingjun
Ren, Caiping
Tang, Guihua
author_facet Yin, Wen
Zhu, Hecheng
Tan, Jun
Xin, Zhaoqi
Zhou, Quanwei
Cao, Yudong
Wu, Zhaoping
Wang, Lei
Zhao, Ming
Jiang, Xingjun
Ren, Caiping
Tang, Guihua
author_sort Yin, Wen
collection PubMed
description BACKGROUND: Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. METHODS: We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assays were used to measure the cell migration and invasion capacity. Western blotting was used to test the expression of epithelial-mesenchymal transition (EMT) related markers. RESULTS: We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the EMT process of glioma. Finally, taking COL3A1 as a further research object, the results showed that knockdown of COL3A1 significantly inhibited the migration, invasion, and EMT process of SHG44 and A172 cells. CONCLUSIONS: In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01982-0.
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spelling pubmed-81474442021-05-26 Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma Yin, Wen Zhu, Hecheng Tan, Jun Xin, Zhaoqi Zhou, Quanwei Cao, Yudong Wu, Zhaoping Wang, Lei Zhao, Ming Jiang, Xingjun Ren, Caiping Tang, Guihua Cancer Cell Int Primary Research BACKGROUND: Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. METHODS: We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assays were used to measure the cell migration and invasion capacity. Western blotting was used to test the expression of epithelial-mesenchymal transition (EMT) related markers. RESULTS: We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the EMT process of glioma. Finally, taking COL3A1 as a further research object, the results showed that knockdown of COL3A1 significantly inhibited the migration, invasion, and EMT process of SHG44 and A172 cells. CONCLUSIONS: In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01982-0. BioMed Central 2021-05-25 /pmc/articles/PMC8147444/ /pubmed/34034744 http://dx.doi.org/10.1186/s12935-021-01982-0 Text en © The Author(s) 2021 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 Primary Research
Yin, Wen
Zhu, Hecheng
Tan, Jun
Xin, Zhaoqi
Zhou, Quanwei
Cao, Yudong
Wu, Zhaoping
Wang, Lei
Zhao, Ming
Jiang, Xingjun
Ren, Caiping
Tang, Guihua
Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title_full Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title_fullStr Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title_full_unstemmed Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title_short Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
title_sort identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147444/
https://www.ncbi.nlm.nih.gov/pubmed/34034744
http://dx.doi.org/10.1186/s12935-021-01982-0
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