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Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients

BACKGROUND: Glioblastoma (GBM) is a malignant human brain tumor that has an extremely poor prognosis. Classic mutations such as IDH (isocitrate dehydrogenase) mutations, EGFR (epidermal growth factor receptor) alternations, and MGMT (O6-methylguanine-methyltransferase) promoter hypermethylation have...

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Autores principales: Huang, Yin-Cheng, Lai, Joseph Chieh-Yu, Peng, Pei-Hua, Wei, Kuo-Chen, Wu, Kou-Juey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565064/
https://www.ncbi.nlm.nih.gov/pubmed/34732244
http://dx.doi.org/10.1186/s13148-021-01181-8
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author Huang, Yin-Cheng
Lai, Joseph Chieh-Yu
Peng, Pei-Hua
Wei, Kuo-Chen
Wu, Kou-Juey
author_facet Huang, Yin-Cheng
Lai, Joseph Chieh-Yu
Peng, Pei-Hua
Wei, Kuo-Chen
Wu, Kou-Juey
author_sort Huang, Yin-Cheng
collection PubMed
description BACKGROUND: Glioblastoma (GBM) is a malignant human brain tumor that has an extremely poor prognosis. Classic mutations such as IDH (isocitrate dehydrogenase) mutations, EGFR (epidermal growth factor receptor) alternations, and MGMT (O6-methylguanine-methyltransferase) promoter hypermethylation have been used to stratify patients and provide prognostic significance. Epigenetic perturbations have been demonstrated in glioblastoma tumorigenesis. Despite the genetic markers used in the management of glioblastoma patients, new biomarkers that could predict patient survival independent of known biomarkers remain to be identified. METHODS: ATAC-seq (assay for transposase accessible chromatin followed by sequencing) and RNA-seq have been used to profile chromatin accessible regions using glioblastoma patient samples with short-survival versus long-survival. Cell viability, cell cycle, and Western blot analysis were used to characterize the cellular phenotypes and identify signaling pathways. RESULTS: Analysis of chromatin accessibility by ATAC-seq coupled with RNA-seq methods identified the GSTM1 (glutathione S-transferase mu-1) gene, which featured higher chromatin accessibility in GBM tumors with short survival. GSTM1 was confirmed to be a significant prognostic marker to predict survival using a different GBM patient cohort. Knockdown of GSTM1 decreased cell viability, caused cell cycle arrest, and decreased the phosphorylation levels of the NF-kB (nuclear factor kappa B) p65 subunit and STAT3 (signal transducer and activator of transcription 3) (pSer727). CONCLUSIONS: This report demonstrates the use of ATAC-seq coupled with RNA-seq to identify GSTM1 as a prognostic marker of GBM patient survival. Activation of phosphorylation levels of NF-kB p65 and STAT3 (pSer727) by GSTM1 is shown. Analysis of chromatin accessibility in patient samples could generate an independent biomarker that can be used to predict patient survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01181-8.
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spelling pubmed-85650642021-11-04 Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients Huang, Yin-Cheng Lai, Joseph Chieh-Yu Peng, Pei-Hua Wei, Kuo-Chen Wu, Kou-Juey Clin Epigenetics Research BACKGROUND: Glioblastoma (GBM) is a malignant human brain tumor that has an extremely poor prognosis. Classic mutations such as IDH (isocitrate dehydrogenase) mutations, EGFR (epidermal growth factor receptor) alternations, and MGMT (O6-methylguanine-methyltransferase) promoter hypermethylation have been used to stratify patients and provide prognostic significance. Epigenetic perturbations have been demonstrated in glioblastoma tumorigenesis. Despite the genetic markers used in the management of glioblastoma patients, new biomarkers that could predict patient survival independent of known biomarkers remain to be identified. METHODS: ATAC-seq (assay for transposase accessible chromatin followed by sequencing) and RNA-seq have been used to profile chromatin accessible regions using glioblastoma patient samples with short-survival versus long-survival. Cell viability, cell cycle, and Western blot analysis were used to characterize the cellular phenotypes and identify signaling pathways. RESULTS: Analysis of chromatin accessibility by ATAC-seq coupled with RNA-seq methods identified the GSTM1 (glutathione S-transferase mu-1) gene, which featured higher chromatin accessibility in GBM tumors with short survival. GSTM1 was confirmed to be a significant prognostic marker to predict survival using a different GBM patient cohort. Knockdown of GSTM1 decreased cell viability, caused cell cycle arrest, and decreased the phosphorylation levels of the NF-kB (nuclear factor kappa B) p65 subunit and STAT3 (signal transducer and activator of transcription 3) (pSer727). CONCLUSIONS: This report demonstrates the use of ATAC-seq coupled with RNA-seq to identify GSTM1 as a prognostic marker of GBM patient survival. Activation of phosphorylation levels of NF-kB p65 and STAT3 (pSer727) by GSTM1 is shown. Analysis of chromatin accessibility in patient samples could generate an independent biomarker that can be used to predict patient survival. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01181-8. BioMed Central 2021-11-03 /pmc/articles/PMC8565064/ /pubmed/34732244 http://dx.doi.org/10.1186/s13148-021-01181-8 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 Research
Huang, Yin-Cheng
Lai, Joseph Chieh-Yu
Peng, Pei-Hua
Wei, Kuo-Chen
Wu, Kou-Juey
Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title_full Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title_fullStr Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title_full_unstemmed Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title_short Chromatin accessibility analysis identifies GSTM1 as a prognostic marker in human glioblastoma patients
title_sort chromatin accessibility analysis identifies gstm1 as a prognostic marker in human glioblastoma patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565064/
https://www.ncbi.nlm.nih.gov/pubmed/34732244
http://dx.doi.org/10.1186/s13148-021-01181-8
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