Abstract
Background: Non-small-cell lung cancer (NSCLC) is a highly morbid disease. Chemotherapy for NSCLC lacks specificity and efficacy mainly because of drug resistance. The current study aimed to explore computational tools to target allosteric epidermal growth factor receptor (EGFR) sites and screen for the top molecules in vitro and in vivo xenograft models. Methods: Molecular docking, virtual screening, and molecular dynamic studies revealed that acenocoumarol and silodosin are the top two allosteric EGFR inhibitors. They were further tested for cytotoxicity, apoptosis, cell cycle, and gene expression by qPCR, western blotting, A549 cell xenograft anti-proliferative activity, and tumor regression efficacy analysis. Results: Acenocoumarol and silodosin exhibited cytotoxicity in A549 and IMR-90 cells at concentrations below 50 and 80 μM, respectively. Acenocoumarol and silodosin induced S-phase and G2/M-phase arrest in A549 cells in the cell cycle analysis. Both drugs showed early apoptosis at their IC 50 doses (acenocoumarol 50 μM and silodosin 25 μM). KRAS (Kirsten rat sarcoma viral oncogene homolog) and ERK2 (extracellular signal-regulated kinase 2) gene regulation in A549 cells was confirmed using qPCR. KRAS and ERK2 activities were quantified by western blot analysis. In the xenograft study, tumor size, body weight, and organ weight were significantly attenuated by the test drugs compared with the standard cisplatin. Immunoblotting and western blot results of the A549-xenograft tissue indicated downregulation of KRAS and ERK2. Furthermore, the test drugs have upregulated caspase-3 gene expression. Conclusion: The drugs acenocoumarol and silodosin downregulate KRAS and ERK2 in both A549 cell lines and Xenograft model. KRAS and ERK2 are components of EGFR-associated signaling pathways. Hence, acenocoumarol and silodosin can be further explored as repurposed candidates in future preclinical and clinical studies.
| Original language | English |
|---|---|
| Article number | 1398 |
| Pages (from-to) | 1398 |
| Number of pages | 1 |
| Journal | F1000Research |
| Volume | 13 |
| DOIs | |
| Publication status | Published - 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- General Medicine
- General Biochemistry,Genetics and Molecular Biology
- General Immunology and Microbiology
- Arts and Humanities (miscellaneous)
- Social Sciences (miscellaneous)
- General Pharmacology, Toxicology and Pharmaceutics
- Library and Information Sciences
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