The translatome of glioblastoma

Glioblastoma (GB), the most common and aggressive brain tumor, demonstrates intrinsic resistance to current therapies, resulting in poor clinical outcomes. Cancer progression can be partially attributed to the deregulation of protein translation mechanisms that drive cancer cell growth. In this stud...

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Main Authors: Fleur M. G. Cornelissen, Zhaoren He, Edward Ciputra, Richard R. deHaas, Ammarina Beumer‐Chuwonpad, David Noske, W. Peter Vandertop, Sander R. Piersma, Connie R. Jiménez, Cornelis Murre, Bart A. Westerman
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Molecular Oncology
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Online Access:https://doi.org/10.1002/1878-0261.13743
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author Fleur M. G. Cornelissen
Zhaoren He
Edward Ciputra
Richard R. deHaas
Ammarina Beumer‐Chuwonpad
David Noske
W. Peter Vandertop
Sander R. Piersma
Connie R. Jiménez
Cornelis Murre
Bart A. Westerman
author_facet Fleur M. G. Cornelissen
Zhaoren He
Edward Ciputra
Richard R. deHaas
Ammarina Beumer‐Chuwonpad
David Noske
W. Peter Vandertop
Sander R. Piersma
Connie R. Jiménez
Cornelis Murre
Bart A. Westerman
author_sort Fleur M. G. Cornelissen
collection DOAJ
description Glioblastoma (GB), the most common and aggressive brain tumor, demonstrates intrinsic resistance to current therapies, resulting in poor clinical outcomes. Cancer progression can be partially attributed to the deregulation of protein translation mechanisms that drive cancer cell growth. In this study, we present the translatome landscape of GB as a valuable data resource. Eight patient‐derived GB sphere cultures (GSCs) were analyzed using ribosome profiling and messenger RNA (mRNA) sequencing. We investigated inter‐cell‐line differences through differential expression analysis at both the translatome and transcriptome levels. Translational changes post‐radiotherapy were assessed at 30 and 60 min. The translation of non‐coding RNAs (ncRNAs) was validated using in‐house and public mass spectrometry (MS) data, whereas RNA expression was confirmed by quantitative PCR (qPCR). Our findings demonstrate that ribosome sequencing provides more detailed information than MS or transcriptional analyses. Transcriptional similarities among GSCs correlate with translational similarities, aligning with previously defined subtypes such as proneural and mesenchymal. Additionally, we identified a broad spectrum of open reading frame types in both coding and non‐coding mRNA regions, including long non‐coding RNAs (lncRNAs) and pseudogenes undergoing active translation. Translation of ncRNAs into peptides was independently confirmed by in‐house data and external MS data. We also observed that translational regulation of histones (downregulated) and splicing factors (upregulated) occurs in response to radiotherapy. These data offer new insights into genome‐wide protein synthesis, identifying translationally regulated genes and alternative translation initiation sites in GB under normal and radiotherapeutic conditions, providing a rich resource for GB research. Further functional validation of differentially expressed genes after radiotherapy is needed. Understanding translational control in GB can reveal mechanistic insights and identify currently unknown biomarkers, ultimately enhancing the diagnosis and treatment of this aggressive brain cancer.
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spelling doaj-art-323a0cea2a8841f886661e831dd2b8d92025-08-20T02:59:42ZengWileyMolecular Oncology1574-78911878-02612025-03-0119371674010.1002/1878-0261.13743The translatome of glioblastomaFleur M. G. Cornelissen0Zhaoren He1Edward Ciputra2Richard R. deHaas3Ammarina Beumer‐Chuwonpad4David Noske5W. Peter Vandertop6Sander R. Piersma7Connie R. Jiménez8Cornelis Murre9Bart A. Westerman10Department of Molecular Biology University of California, San Diego La Jolla CA USADepartment of Molecular Biology University of California, San Diego La Jolla CA USADepartment of Neurosurgery Amsterdam UMC, Location VUMC, Cancer Center Amsterdam The NetherlandsOncoProteomics Laboratory, Cancer Center Amsterdam Amsterdam UMC The NetherlandsDepartment of Neurosurgery Amsterdam UMC, Location VUMC, Cancer Center Amsterdam The NetherlandsDepartment of Neurosurgery Amsterdam UMC, Location VUMC, Cancer Center Amsterdam The NetherlandsDepartment of Neurosurgery Amsterdam UMC, Location VUMC, Cancer Center Amsterdam The NetherlandsOncoProteomics Laboratory, Cancer Center Amsterdam Amsterdam UMC The NetherlandsOncoProteomics Laboratory, Cancer Center Amsterdam Amsterdam UMC The NetherlandsDepartment of Molecular Biology University of California, San Diego La Jolla CA USADepartment of Neurosurgery Amsterdam UMC, Location VUMC, Cancer Center Amsterdam The NetherlandsGlioblastoma (GB), the most common and aggressive brain tumor, demonstrates intrinsic resistance to current therapies, resulting in poor clinical outcomes. Cancer progression can be partially attributed to the deregulation of protein translation mechanisms that drive cancer cell growth. In this study, we present the translatome landscape of GB as a valuable data resource. Eight patient‐derived GB sphere cultures (GSCs) were analyzed using ribosome profiling and messenger RNA (mRNA) sequencing. We investigated inter‐cell‐line differences through differential expression analysis at both the translatome and transcriptome levels. Translational changes post‐radiotherapy were assessed at 30 and 60 min. The translation of non‐coding RNAs (ncRNAs) was validated using in‐house and public mass spectrometry (MS) data, whereas RNA expression was confirmed by quantitative PCR (qPCR). Our findings demonstrate that ribosome sequencing provides more detailed information than MS or transcriptional analyses. Transcriptional similarities among GSCs correlate with translational similarities, aligning with previously defined subtypes such as proneural and mesenchymal. Additionally, we identified a broad spectrum of open reading frame types in both coding and non‐coding mRNA regions, including long non‐coding RNAs (lncRNAs) and pseudogenes undergoing active translation. Translation of ncRNAs into peptides was independently confirmed by in‐house data and external MS data. We also observed that translational regulation of histones (downregulated) and splicing factors (upregulated) occurs in response to radiotherapy. These data offer new insights into genome‐wide protein synthesis, identifying translationally regulated genes and alternative translation initiation sites in GB under normal and radiotherapeutic conditions, providing a rich resource for GB research. Further functional validation of differentially expressed genes after radiotherapy is needed. Understanding translational control in GB can reveal mechanistic insights and identify currently unknown biomarkers, ultimately enhancing the diagnosis and treatment of this aggressive brain cancer.https://doi.org/10.1002/1878-0261.13743glioblastomanon‐coding RNAradioresistanceradiotherapytranslatome
spellingShingle Fleur M. G. Cornelissen
Zhaoren He
Edward Ciputra
Richard R. deHaas
Ammarina Beumer‐Chuwonpad
David Noske
W. Peter Vandertop
Sander R. Piersma
Connie R. Jiménez
Cornelis Murre
Bart A. Westerman
The translatome of glioblastoma
Molecular Oncology
glioblastoma
non‐coding RNA
radioresistance
radiotherapy
translatome
title The translatome of glioblastoma
title_full The translatome of glioblastoma
title_fullStr The translatome of glioblastoma
title_full_unstemmed The translatome of glioblastoma
title_short The translatome of glioblastoma
title_sort translatome of glioblastoma
topic glioblastoma
non‐coding RNA
radioresistance
radiotherapy
translatome
url https://doi.org/10.1002/1878-0261.13743
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