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Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas
INTRODUCTION: The most important chemotherapy treatment for glioma patients is temozolomide. However, the development of drug resistance severely restricts the use of temozolomide. Therefore, elucidating the mechanism of temozolomide resistance, enhancing temozolomide sensitivity, and extending pati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028258/ https://www.ncbi.nlm.nih.gov/pubmed/36959804 http://dx.doi.org/10.3389/fonc.2023.1120103 |
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author | Gu, Qiang Li, Lang Yao, Jiahao Dong, Fa-yan Gan, Yifan Zhou, Shuhuai Wang, Xinyu Wang, Xue-feng |
author_facet | Gu, Qiang Li, Lang Yao, Jiahao Dong, Fa-yan Gan, Yifan Zhou, Shuhuai Wang, Xinyu Wang, Xue-feng |
author_sort | Gu, Qiang |
collection | PubMed |
description | INTRODUCTION: The most important chemotherapy treatment for glioma patients is temozolomide. However, the development of drug resistance severely restricts the use of temozolomide. Therefore, elucidating the mechanism of temozolomide resistance, enhancing temozolomide sensitivity, and extending patient survival are urgent tasks for researchers. METHODS: Temozolomide resistance hub differential genes were identified using differential analysis and protein interaction analysis from the GEO datasets (GSE100736 and GSE113510). These genes were further studied in glioma patients treated with temozolomide in the TCGA and CGGA databases. Patients from the mRNAseq_325 dataset (CGGA) were considered as the training set to construct a risk model for predicting glioma sensitivity to temozolomide, while patients from the mRNAseq_693 dataset (CGGA) and TCGA-GBM dataset were considered as the validation set to evaluate the performance of models. PCR and western blot were performed to determine the difference in expression of the feature gene DACH1 between glioma cells and temozolomide-resistant glioma cells. The alterations in the sensitivity of tumor cells to temozolomide were also observed after DACH1 was silenced. The patients were then divided into two groups based on the expression of DACH1, and the differences in patient survival rates, molecular pathway activation, and level of immune infiltration were compared. RESULTS: Based on four signature genes (AHR, DACH1, MGMT, and YAP1), a risk model for predicting glioma sensitivity to temozolomide was constructed, and the results of timeROC in both the training and validation sets showed that the model had good predictive performance. The expression of the signature gene DACH1 was significantly downregulated in temozolomide-resistant cells, according to the results of the PCR and western blot experiments. The sensitivity of tumor cells to temozolomide was significantly reduced after DACH1 was silenced. DACH1 probably regulates temozolomide resistance in glioblastoma through the transcriptional dysregulation in cancer and ECM. DISCUSSION: This study constructs a risk model that can predict glioma susceptibility to temozolomide and validates the function of the feature gene DACH1, which provides a promising target for the research of temozolomide resistance. |
format | Online Article Text |
id | pubmed-10028258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100282582023-03-22 Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas Gu, Qiang Li, Lang Yao, Jiahao Dong, Fa-yan Gan, Yifan Zhou, Shuhuai Wang, Xinyu Wang, Xue-feng Front Oncol Oncology INTRODUCTION: The most important chemotherapy treatment for glioma patients is temozolomide. However, the development of drug resistance severely restricts the use of temozolomide. Therefore, elucidating the mechanism of temozolomide resistance, enhancing temozolomide sensitivity, and extending patient survival are urgent tasks for researchers. METHODS: Temozolomide resistance hub differential genes were identified using differential analysis and protein interaction analysis from the GEO datasets (GSE100736 and GSE113510). These genes were further studied in glioma patients treated with temozolomide in the TCGA and CGGA databases. Patients from the mRNAseq_325 dataset (CGGA) were considered as the training set to construct a risk model for predicting glioma sensitivity to temozolomide, while patients from the mRNAseq_693 dataset (CGGA) and TCGA-GBM dataset were considered as the validation set to evaluate the performance of models. PCR and western blot were performed to determine the difference in expression of the feature gene DACH1 between glioma cells and temozolomide-resistant glioma cells. The alterations in the sensitivity of tumor cells to temozolomide were also observed after DACH1 was silenced. The patients were then divided into two groups based on the expression of DACH1, and the differences in patient survival rates, molecular pathway activation, and level of immune infiltration were compared. RESULTS: Based on four signature genes (AHR, DACH1, MGMT, and YAP1), a risk model for predicting glioma sensitivity to temozolomide was constructed, and the results of timeROC in both the training and validation sets showed that the model had good predictive performance. The expression of the signature gene DACH1 was significantly downregulated in temozolomide-resistant cells, according to the results of the PCR and western blot experiments. The sensitivity of tumor cells to temozolomide was significantly reduced after DACH1 was silenced. DACH1 probably regulates temozolomide resistance in glioblastoma through the transcriptional dysregulation in cancer and ECM. DISCUSSION: This study constructs a risk model that can predict glioma susceptibility to temozolomide and validates the function of the feature gene DACH1, which provides a promising target for the research of temozolomide resistance. Frontiers Media S.A. 2023-03-07 /pmc/articles/PMC10028258/ /pubmed/36959804 http://dx.doi.org/10.3389/fonc.2023.1120103 Text en Copyright © 2023 Gu, Li, Yao, Dong, Gan, Zhou, Wang and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Gu, Qiang Li, Lang Yao, Jiahao Dong, Fa-yan Gan, Yifan Zhou, Shuhuai Wang, Xinyu Wang, Xue-feng Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title | Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title_full | Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title_fullStr | Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title_full_unstemmed | Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title_short | Identification and verification of the temozolomide resistance feature gene DACH1 in gliomas |
title_sort | identification and verification of the temozolomide resistance feature gene dach1 in gliomas |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028258/ https://www.ncbi.nlm.nih.gov/pubmed/36959804 http://dx.doi.org/10.3389/fonc.2023.1120103 |
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