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The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways
[Image: see text] Glioblastoma is a highly malignant cancer with no effective treatment. It is vital to elucidate the mechanisms which drive glioblastoma in order to identify therapeutic targets. The differences in protein expression between glioblastoma, grade I–III glioma, and normal brain tissue...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482494/ https://www.ncbi.nlm.nih.gov/pubmed/34604635 http://dx.doi.org/10.1021/acsomega.1c02991 |
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author | Tribe, Anna K.W. McConnell, Melanie J. Teesdale-Spittle, Paul H. |
author_facet | Tribe, Anna K.W. McConnell, Melanie J. Teesdale-Spittle, Paul H. |
author_sort | Tribe, Anna K.W. |
collection | PubMed |
description | [Image: see text] Glioblastoma is a highly malignant cancer with no effective treatment. It is vital to elucidate the mechanisms which drive glioblastoma in order to identify therapeutic targets. The differences in protein expression between glioblastoma, grade I–III glioma, and normal brain tissue reflect the functional alterations driving malignancy. However, proteomic analysis of glioblastoma has been hampered by the heterogeneity of glioblastoma and the variety of methodology used in its study. To reduce these inconsistencies, we performed a meta-analysis of the literature published since 2015, including 14 datasets from eight papers comparing the whole proteome of glioblastoma to normal brain or grade I–III glioma. We found that 154 proteins were commonly upregulated and 116 proteins were commonly downregulated in glioblastoma compared to normal brain. Meanwhile, 240 proteins were commonly upregulated and 125 proteins were commonly downregulated in glioblastoma compared to grade I–III glioma. Functional enrichment analysis revealed upregulation of proteins involved in mRNA splicing and the immune system and downregulation of proteins involved in synaptic signaling and glucose and glutamine metabolism. The identification of these altered biological pathways provides a basis for deeper investigation in the pursuit of an effective treatment for glioblastoma. |
format | Online Article Text |
id | pubmed-8482494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-84824942021-10-01 The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways Tribe, Anna K.W. McConnell, Melanie J. Teesdale-Spittle, Paul H. ACS Omega [Image: see text] Glioblastoma is a highly malignant cancer with no effective treatment. It is vital to elucidate the mechanisms which drive glioblastoma in order to identify therapeutic targets. The differences in protein expression between glioblastoma, grade I–III glioma, and normal brain tissue reflect the functional alterations driving malignancy. However, proteomic analysis of glioblastoma has been hampered by the heterogeneity of glioblastoma and the variety of methodology used in its study. To reduce these inconsistencies, we performed a meta-analysis of the literature published since 2015, including 14 datasets from eight papers comparing the whole proteome of glioblastoma to normal brain or grade I–III glioma. We found that 154 proteins were commonly upregulated and 116 proteins were commonly downregulated in glioblastoma compared to normal brain. Meanwhile, 240 proteins were commonly upregulated and 125 proteins were commonly downregulated in glioblastoma compared to grade I–III glioma. Functional enrichment analysis revealed upregulation of proteins involved in mRNA splicing and the immune system and downregulation of proteins involved in synaptic signaling and glucose and glutamine metabolism. The identification of these altered biological pathways provides a basis for deeper investigation in the pursuit of an effective treatment for glioblastoma. American Chemical Society 2021-09-14 /pmc/articles/PMC8482494/ /pubmed/34604635 http://dx.doi.org/10.1021/acsomega.1c02991 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Tribe, Anna K.W. McConnell, Melanie J. Teesdale-Spittle, Paul H. The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title | The Big Picture of Glioblastoma Malignancy: A Meta-Analysis
of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title_full | The Big Picture of Glioblastoma Malignancy: A Meta-Analysis
of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title_fullStr | The Big Picture of Glioblastoma Malignancy: A Meta-Analysis
of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title_full_unstemmed | The Big Picture of Glioblastoma Malignancy: A Meta-Analysis
of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title_short | The Big Picture of Glioblastoma Malignancy: A Meta-Analysis
of Glioblastoma Proteomics to Identify Altered Biological Pathways |
title_sort | big picture of glioblastoma malignancy: a meta-analysis
of glioblastoma proteomics to identify altered biological pathways |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482494/ https://www.ncbi.nlm.nih.gov/pubmed/34604635 http://dx.doi.org/10.1021/acsomega.1c02991 |
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