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Differential expression of the circadian clock network correlates with tumour progression in gliomas

BACKGROUND: Gliomas are tumours arising mostly from astrocytic or oligodendrocytic precursor cells. These tumours are classified according to the updated WHO classification from 2021 in 4 grades depending on molecular and histopathological criteria. Despite novel multimodal therapeutic approaches, t...

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Autores principales: Petkovic, Marina, Yalçin, Müge, Heese, Oliver, Relógio, Angela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316603/
https://www.ncbi.nlm.nih.gov/pubmed/37400829
http://dx.doi.org/10.1186/s12920-023-01585-w
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author Petkovic, Marina
Yalçin, Müge
Heese, Oliver
Relógio, Angela
author_facet Petkovic, Marina
Yalçin, Müge
Heese, Oliver
Relógio, Angela
author_sort Petkovic, Marina
collection PubMed
description BACKGROUND: Gliomas are tumours arising mostly from astrocytic or oligodendrocytic precursor cells. These tumours are classified according to the updated WHO classification from 2021 in 4 grades depending on molecular and histopathological criteria. Despite novel multimodal therapeutic approaches, the vast majority of gliomas (WHO grade III and IV) are not curable. The circadian clock is an important regulator of numerous cellular processes and its dysregulation had been found during the progression of many cancers, including gliomas. RESULTS: In this study, we explore expression patterns of clock-controlled genes in low-grade glioma (LGG) and glioblastoma multiforme (GBM) and show that a set of 45 clock-controlled genes can be used to distinguish GBM from normal tissue. Subsequent analysis identified 17 clock-controlled genes with a significant association with survival. The results point to a loss of correlation strength within elements of the circadian clock network in GBM compared to LGG. We further explored the progression patterns of mutations in LGG and GBM, and showed that tumour suppressor APC is lost late both in LGG and GBM. Moreover, HIF1A, involved in cellular response to hypoxia, exhibits subclonal losses in LGG, and TERT, involved in the formation of telomerase, is lost late in the GBM progression. By examining multi-sample LGG data, we find that the clock-controlled driver genes APC, HIF1A, TERT and TP53 experience frequent subclonal gains and losses. CONCLUSIONS: Our results show a higher level of disrgulation at the gene expression level in GBM compared to LGG, and indicate an association between the differentially expressed clock-regulated genes and patient survival in both LGG and GBM. By reconstructing the patterns of progression in LGG and GBM, our data reveals the relatively late gains and losses of clock-regulated glioma drivers. Our analysis emphasizes the role of clock-regulated genes in glioma development and progression. Yet, further research is needed to asses their value in the development of new treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01585-w.
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spelling pubmed-103166032023-07-04 Differential expression of the circadian clock network correlates with tumour progression in gliomas Petkovic, Marina Yalçin, Müge Heese, Oliver Relógio, Angela BMC Med Genomics Research BACKGROUND: Gliomas are tumours arising mostly from astrocytic or oligodendrocytic precursor cells. These tumours are classified according to the updated WHO classification from 2021 in 4 grades depending on molecular and histopathological criteria. Despite novel multimodal therapeutic approaches, the vast majority of gliomas (WHO grade III and IV) are not curable. The circadian clock is an important regulator of numerous cellular processes and its dysregulation had been found during the progression of many cancers, including gliomas. RESULTS: In this study, we explore expression patterns of clock-controlled genes in low-grade glioma (LGG) and glioblastoma multiforme (GBM) and show that a set of 45 clock-controlled genes can be used to distinguish GBM from normal tissue. Subsequent analysis identified 17 clock-controlled genes with a significant association with survival. The results point to a loss of correlation strength within elements of the circadian clock network in GBM compared to LGG. We further explored the progression patterns of mutations in LGG and GBM, and showed that tumour suppressor APC is lost late both in LGG and GBM. Moreover, HIF1A, involved in cellular response to hypoxia, exhibits subclonal losses in LGG, and TERT, involved in the formation of telomerase, is lost late in the GBM progression. By examining multi-sample LGG data, we find that the clock-controlled driver genes APC, HIF1A, TERT and TP53 experience frequent subclonal gains and losses. CONCLUSIONS: Our results show a higher level of disrgulation at the gene expression level in GBM compared to LGG, and indicate an association between the differentially expressed clock-regulated genes and patient survival in both LGG and GBM. By reconstructing the patterns of progression in LGG and GBM, our data reveals the relatively late gains and losses of clock-regulated glioma drivers. Our analysis emphasizes the role of clock-regulated genes in glioma development and progression. Yet, further research is needed to asses their value in the development of new treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01585-w. BioMed Central 2023-07-03 /pmc/articles/PMC10316603/ /pubmed/37400829 http://dx.doi.org/10.1186/s12920-023-01585-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Petkovic, Marina
Yalçin, Müge
Heese, Oliver
Relógio, Angela
Differential expression of the circadian clock network correlates with tumour progression in gliomas
title Differential expression of the circadian clock network correlates with tumour progression in gliomas
title_full Differential expression of the circadian clock network correlates with tumour progression in gliomas
title_fullStr Differential expression of the circadian clock network correlates with tumour progression in gliomas
title_full_unstemmed Differential expression of the circadian clock network correlates with tumour progression in gliomas
title_short Differential expression of the circadian clock network correlates with tumour progression in gliomas
title_sort differential expression of the circadian clock network correlates with tumour progression in gliomas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316603/
https://www.ncbi.nlm.nih.gov/pubmed/37400829
http://dx.doi.org/10.1186/s12920-023-01585-w
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