CELLS
Schueler J, Tschuch C, Klingner K, Bug D, Peille AL, de Koning L, Oswald E, Klett H and Sommergruber W.
Cells. 2019;8.
DOI: 10.3390/cells8070740
Abstract
In up to 30% of non-small cell lung cancer (NSCLC) patients, the oncogenic driver of tumor growth is a constitutively activated epidermal growth factor receptor (EGFR). Although these patients gain great benefit from treatment with EGFR tyrosine kinase inhibitors, the development of resistance is inevitable. To model the emergence of drug resistance, an EGFR-driven, patient-derived xenograft (PDX) NSCLC model was treated continuously with Gefitinib in vivo. Over a period of more than three months, three separate clones developed and were subsequently analyzed: Whole exome sequencing and reverse phase protein arrays (RPPAs) were performed to identify the mechanism of resistance. In total, 13 genes were identified, which were mutated in all three resistant lines. Amongst them the mutations in NOMO2, ARHGEF5 and SMTNL2 were predicted as deleterious. The 53 mutated genes specific for at least two of the resistant lines were mainly involved in cell cycle activities or the Fanconi anemia pathway. On a protein level, total EGFR, total Axl, phospho-NFκB, and phospho-Stat1 were upregulated. Stat1, Stat3, MEK1/2, and NFκB displayed enhanced activation in the resistant clones determined by the phosphorylated vs. total protein ratio. In summary, we developed an NSCLC PDX line modelling possible escape mechanism under EGFRtreatment. We identified three genes that have not been described before to be involved in an acquired EGFR resistance. Further functional studies are needed to decipher the underlying pathway regulation.
Related Posts
Neurology
Comparative Spatial Analyses of the Tumor Immune Landscape in Mouse Models of Glioblastoma Using the PhenoCode Discovery Mouse Neuro Panel and Customized Markers
Poster Background Developing effective therapies for glioblastoma (GBM) relies on robust preclinical animal models that enable detailed investigation of tumor biology, discovery of therapeutic targets, and evaluation of new treatment…
Oncology
Development of a Spatial Metabolic Map of Immunotherapy Sensitive and Resistant Cutaneous Skin Carcinoma
Poster Background Ultrahigh-Plex Single-cell Spatial Phenotyping has revealed valuable insights into the tumor immune microenvironment (TiME) for biomarker discovery and stratification of clinical responses. Metabolic reprogramming is a key hallmark…
Spatial Immunometabolic Profiling of Non-Small Cell Lung Cancer Reveals Distinct Immune Exclusion Patterns and Functional Niches
Analytical validation of a multiplex immunofluorescence 7-Biomarker Immunoprint® assay on the Akoya PhenoImager HT platform for stage I/II Melanoma
Neurology
Neurodegenerative biomarkers in different chambers of the eye relative to plasma: an agreement validation study
Alzheimer’s Research and Therapy | August 26, 2024 Sampani K, Ness S, Tuz-Zahra F, Aytan N, Spurlock EE, Alluri S, Chen X, Siegel NH, Alosco ML, Xia W, Tripodis Y,…
Neurology
Clinical validation of the LucentAD p-Tau 217 as a lab developed test (LDT) for clinical use
Poster The intersection of new therapeutic options for Alzheimer’s disease (AD), the emergence of accurate blood-based tests for AD, and the anticipated health system log jam for confirmatory diagnostic testing…
Neurology
Development of thresholds and a visualization tool for use of a blood test in routine clinical dementia practice
Alzheimer’s & Dementia | August 3, 2024 Verberk IMW, Jutte J, Kingma MY, Vigneswaran S, Gouda MMTEE, van Engelen MP, Alcolea D, Arranz J, Fortea J, Lleó A, Chevalier C,…
Neurology
Discovering novel plasma biomarkers for ischemic stroke: Lipidomic and metabolomic analyses in an aged mouse model
Journal of Lipid Research | August 2, 2024 Becktel DA, Frye JB, Le EH, Whitman SA, Schnellmann RG, Morrison HW, Doyle KP. J Lipid Res. 2024 https://doi.org/10.1016/j.jlr.2024.100614 Abstract Ischemic stroke…