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Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma
Glioblastoma (GBM) is the most frequent primary brain tumor in adults and has a poor prognosis due to its resistance to Temozolomide (TMZ). However, there is limited research regarding the tumor microenvironment and genes related to the prognosis of TMZ-treated GBM patients. This study aimed to iden...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966340/ https://www.ncbi.nlm.nih.gov/pubmed/36836422 http://dx.doi.org/10.3390/jpm13020188 |
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author | Jang, Yena Cheong, Wooyong Park, Gyurin Kim, Yeongmin Ha, Junbeom Ahn, Sangzin |
author_facet | Jang, Yena Cheong, Wooyong Park, Gyurin Kim, Yeongmin Ha, Junbeom Ahn, Sangzin |
author_sort | Jang, Yena |
collection | PubMed |
description | Glioblastoma (GBM) is the most frequent primary brain tumor in adults and has a poor prognosis due to its resistance to Temozolomide (TMZ). However, there is limited research regarding the tumor microenvironment and genes related to the prognosis of TMZ-treated GBM patients. This study aimed to identify putative transcriptomic biomarkers with predictive value in patients with GBM who were treated with TMZ. Publicly available datasets from The Cancer Genome Atlas and Gene Expression Omnibus were analyzed using CIBERSORTx and Weighted Gene Co-expression Network Analysis (WGCNA) to obtain types of highly expressed cell types and gene clusters. Differentially Expressed Genes analysis was performed and was intersected with the WGCNA results to obtain a candidate gene list. Cox proportional-hazard survival analysis was performed to acquire genes related to the prognosis of TMZ-treated GBM patients. Inflammatory microglial cells, dendritic cells, myeloid cells, and glioma stem cells were highly expressed in GBM tissue, and ACP7, EPPK1, PCDHA8, RHOD, DRC1, ZIC3, and PRLR were significantly associated with survival. While the listed genes have been previously reported to be related to glioblastoma or other types of cancer, ACP7 was identified as a novel gene related to the prognosis of GBM. These findings may have potential implications for developing a diagnostic tool to predict GBM resistance and optimize treatment decisions. |
format | Online Article Text |
id | pubmed-9966340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99663402023-02-26 Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma Jang, Yena Cheong, Wooyong Park, Gyurin Kim, Yeongmin Ha, Junbeom Ahn, Sangzin J Pers Med Article Glioblastoma (GBM) is the most frequent primary brain tumor in adults and has a poor prognosis due to its resistance to Temozolomide (TMZ). However, there is limited research regarding the tumor microenvironment and genes related to the prognosis of TMZ-treated GBM patients. This study aimed to identify putative transcriptomic biomarkers with predictive value in patients with GBM who were treated with TMZ. Publicly available datasets from The Cancer Genome Atlas and Gene Expression Omnibus were analyzed using CIBERSORTx and Weighted Gene Co-expression Network Analysis (WGCNA) to obtain types of highly expressed cell types and gene clusters. Differentially Expressed Genes analysis was performed and was intersected with the WGCNA results to obtain a candidate gene list. Cox proportional-hazard survival analysis was performed to acquire genes related to the prognosis of TMZ-treated GBM patients. Inflammatory microglial cells, dendritic cells, myeloid cells, and glioma stem cells were highly expressed in GBM tissue, and ACP7, EPPK1, PCDHA8, RHOD, DRC1, ZIC3, and PRLR were significantly associated with survival. While the listed genes have been previously reported to be related to glioblastoma or other types of cancer, ACP7 was identified as a novel gene related to the prognosis of GBM. These findings may have potential implications for developing a diagnostic tool to predict GBM resistance and optimize treatment decisions. MDPI 2023-01-20 /pmc/articles/PMC9966340/ /pubmed/36836422 http://dx.doi.org/10.3390/jpm13020188 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jang, Yena Cheong, Wooyong Park, Gyurin Kim, Yeongmin Ha, Junbeom Ahn, Sangzin Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title | Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title_full | Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title_fullStr | Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title_full_unstemmed | Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title_short | Tumor Microenvironment and Genes Affecting the Prognosis of Temozolomide-Treated Glioblastoma |
title_sort | tumor microenvironment and genes affecting the prognosis of temozolomide-treated glioblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966340/ https://www.ncbi.nlm.nih.gov/pubmed/36836422 http://dx.doi.org/10.3390/jpm13020188 |
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