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Anti-EGFR aptamer exhibits direct anti-cancer effects in NSCLC cells harboring EGFR L858R mutations

GSE259407 Homo sapiens Expression profiling by high throughput sequencing 36 samples 2024/11/21 GPL24676
Summary
Non-small cell lung cancer (NSCLC) lung adenocarcinoma (LUAD) is a leading cause of death worldwide. Activating mutations in the tyrosine kinase domain of the oncogene epidermal growth factor receptor (EGFR) are responsible for ~10-50% of all LUAD cases. Although EGFR tyrosine kinase inhibitors (TKIs) have been effective in prolonging NSCLC patient survival and quality of life, acquired resistance mechanisms and disease progression are inevitable. Contemporary second- and third-line treatments, such as immunotherapy, remain ineffective for these patients, presenting a clear and unmet need for alternative or adjuvant therapeutics for the treatment of mutant EGFR positive NSCLC. Here we show that an anti-EGFR aptamer (EGFRapt) decreases viability of NSCLC cell lines harboring the L858R ± T790M mutation in EGFR but not cell lines harboring wild-type or exon 19 deletions. In a humanized xenograft mouse model, EGFRapt decreased tumor burden compared to controls when delivered intratumorally over multiple doses. To elucidate the mechanism by which EGFRapt exerts these effects, we examined kinase-dependent and kinase-independent mechanisms and found that it is cell line dependent, either inhibiting cellular proliferation or inducing cell death. Post hoc transcriptomics analysis comparing EGFRapt to control aptamer or vehicle validated these findings and provided additional mechanistic insights. Overall, these data establish that EGFRapt has direct anti-cancer activity in mutant EGFR positive NSCLC via targetable mechanisms that are independent of existing approaches and provide a foundation for further development of nucleic acid-based therapies that target EGFR.
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NCBI GEO page ↗ Paper (PMID 39572699) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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