Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Onat Kadioglu
- Mohamed EM Saeed
- Nuha Mahmoud
- Shaymaa Azawi
- Kristin Mrasek
- Thomas Liehr
- Thomas Efferth
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000704334500003&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1016/j.lfs.2021.119601
- eISSN
- 1879-0631
- Externe Identifier
- Clarivate Analytics Document Solution ID: WC5YV
- PubMed Identifier: 33991550
- ISSN
- 0024-3205
- Zeitschrift
- LIFE SCIENCES
- Schlüsselwörter
- Cancer
- Chromosomal aberrations
- Drug resistance
- Oncogenes
- Transcriptomics
- Artikelnummer
- ARTN 119601
- Datum der Veröffentlichung
- 2021
- Status
- Published
- Titel
- Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR
- Sub types
- Article
- Ausgabe der Zeitschrift
- 284
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Autoren
- Onat Kadioglu
- Mohamed EM Saeed
- Nuha Mahmoud
- Shaymaa Azawi
- Kristin Mrasek
- Thomas Liehr
- Thomas Efferth
- DOI
- 10.1016/j.lfs.2021.119601
- ISSN
- 0024-3205
- Zeitschrift
- Life Sciences
- Sprache
- en
- Artikelnummer
- 119601
- Paginierung
- 119601 - 119601
- Datum der Veröffentlichung
- 2021
- Status
- Published
- Herausgeber
- Elsevier BV
- Herausgeber URL
- http://dx.doi.org/10.1016/j.lfs.2021.119601
- Datum der Datenerfassung
- 2023
- Titel
- Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR
- Ausgabe der Zeitschrift
- 284
Data source: Crossref
- Abstract
- <h4>Aims</h4>Epidermal growth factor receptor (EGFR) is not only involved in carcinogenesis, but also in chemoresistance. We characterized U87.MGΔEGFR glioblastoma cells with constitutively active EGFR due to deletion at the ligand binding domain in terms of gene expression profiling and chromosomal aberrations. Wild-type U87.MG cells served as control.<h4>Materials and methods</h4>RNA sequencing and network analyses (Ingenuity Pathway Analysis) were performed to identify novel drug resistance mechanisms related to expression of mutation activated EGFR. Chromosomal aberrations were characterized by multicolor fluorescence in situ hybridization (mFISH) and array comparative genomic hybridization (aCGH).<h4>Key findings</h4>U87.MGΔEGFR cells presented much more chromosomal aberrations, amplifications and deletions than wild-type U87.MG cells. Both cell lines were near-triploid. Numerous genes were overexpressed in U87.MGΔEGFR cells, some of which have been already linked to drug resistance. PXDN, which is associated with epithelial mesenchymal transition, was the most upregulated gene (901.8-fold). TENM1 was 331.6-fold upregulated, and it was previously reported to modulate neural development. EGFR-AS1 (161.2-fold upregulated) has been reported to increase the EGFR mRNA stability and its expression - in accordance with that of EGFR - was upregulated (85.5-fold). In addition to well-known resistance genes, numerous novel genes and genomic aberrations were identified. ANGPT2 upregulation and CPM downregulation were validated by Western blotting.<h4>Significance</h4>Transcriptomics and genomics analyses in U87.MGΔEGFR cells unraveled a range of novel drug resistance mechanisms including apoptosis, DNA repair, ferroptosis, glutathione related gene activities, heat shock, oxidative stress, transcription factor activities, which may have important implications for future treatment strategies.
- Addresses
- Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz, Germany.
- Autoren
- Onat Kadioglu
- Mohamed EM Saeed
- Nuha Mahmoud
- Shaymaa Azawi
- Kristin Mrasek
- Thomas Liehr
- Thomas Efferth
- DOI
- 10.1016/j.lfs.2021.119601
- eISSN
- 1879-0631
- Externe Identifier
- PubMed Identifier: 33991550
- Funding acknowledgements
- Johannes Gutenberg-Universität Mainz:
- Open access
- false
- ISSN
- 0024-3205
- Zeitschrift
- Life sciences
- Schlüsselwörter
- Cell Line, Tumor
- Humans
- Glioblastoma
- Brain Neoplasms
- Chromosome Aberrations
- Gene Expression Profiling
- Genomics
- Signal Transduction
- Metaphase
- Down-Regulation
- Gene Expression Regulation, Neoplastic
- Up-Regulation
- Drug Resistance, Neoplasm
- Mutation
- Gene Regulatory Networks
- Transcriptome
- Protein Interaction Maps
- ErbB Receptors
- Sprache
- eng
- Medium
- Print-Electronic
- Online publication date
- 2021
- Paginierung
- 119601
- Datum der Veröffentlichung
- 2021
- Status
- Published
- Datum der Datenerfassung
- 2021
- Titel
- Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 284
Data source: Europe PubMed Central
- Abstract
- AIMS: Epidermal growth factor receptor (EGFR) is not only involved in carcinogenesis, but also in chemoresistance. We characterized U87.MGΔEGFR glioblastoma cells with constitutively active EGFR due to deletion at the ligand binding domain in terms of gene expression profiling and chromosomal aberrations. Wild-type U87.MG cells served as control. MATERIALS AND METHODS: RNA sequencing and network analyses (Ingenuity Pathway Analysis) were performed to identify novel drug resistance mechanisms related to expression of mutation activated EGFR. Chromosomal aberrations were characterized by multicolor fluorescence in situ hybridization (mFISH) and array comparative genomic hybridization (aCGH). KEY FINDINGS: U87.MGΔEGFR cells presented much more chromosomal aberrations, amplifications and deletions than wild-type U87.MG cells. Both cell lines were near-triploid. Numerous genes were overexpressed in U87.MGΔEGFR cells, some of which have been already linked to drug resistance. PXDN, which is associated with epithelial mesenchymal transition, was the most upregulated gene (901.8-fold). TENM1 was 331.6-fold upregulated, and it was previously reported to modulate neural development. EGFR-AS1 (161.2-fold upregulated) has been reported to increase the EGFR mRNA stability and its expression - in accordance with that of EGFR - was upregulated (85.5-fold). In addition to well-known resistance genes, numerous novel genes and genomic aberrations were identified. ANGPT2 upregulation and CPM downregulation were validated by Western blotting. SIGNIFICANCE: Transcriptomics and genomics analyses in U87.MGΔEGFR cells unraveled a range of novel drug resistance mechanisms including apoptosis, DNA repair, ferroptosis, glutathione related gene activities, heat shock, oxidative stress, transcription factor activities, which may have important implications for future treatment strategies.
- Date of acceptance
- 2021
- Autoren
- Onat Kadioglu
- Mohamed EM Saeed
- Nuha Mahmoud
- Shaymaa Azawi
- Kristin Mrasek
- Thomas Liehr
- Thomas Efferth
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/33991550
- DOI
- 10.1016/j.lfs.2021.119601
- eISSN
- 1879-0631
- Zeitschrift
- Life Sci
- Schlüsselwörter
- Cancer
- Chromosomal aberrations
- Drug resistance
- Oncogenes
- Transcriptomics
- Brain Neoplasms
- Cell Line, Tumor
- Chromosome Aberrations
- Down-Regulation
- Drug Resistance, Neoplasm
- ErbB Receptors
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Gene Regulatory Networks
- Genomics
- Glioblastoma
- Humans
- Metaphase
- Mutation
- Protein Interaction Maps
- Signal Transduction
- Transcriptome
- Up-Regulation
- Sprache
- eng
- Country
- Netherlands
- Paginierung
- 119601
- PII
- S0024-3205(21)00587-7
- Datum der Veröffentlichung
- 2021
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2021
- Titel
- Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR.
- Sub types
- Journal Article
- Ausgabe der Zeitschrift
- 284
Data source: PubMed
- Beziehungen:
- Property of