Nuclear pore glycoprotein 62 genetic variant rs9523 is associated with clinical outcomes of epidermal growth factor receptor tyrosine kinase inhibitors in lung adenocarcinoma patients

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Abstract

Introduction: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have represented the prototype of targeted therapy in NSCLC. Patients with EGFR-mutant lung adenocarcinoma extract an extraordinary clinical benefit from EGFR-TKIs. However, the extent and duration of these responses are heterogeneous, suggesting the existence of genetic modifiers affecting an individual’s response to TKIs. We investigated whether genetic variants in miRNA binding sites are associated with the clinical outcome of EGFR-TKIs in lung adenocarcinoma patients. Methods: One hundred SNPs at miRNA binding sites in cancer-related genes were selected for the analysis using the crosslinking, ligation and sequencing of hybrids (CLASH) and CancerGenes database. qRT-PCR and luciferase assays were conducted to evaluate the functional relevance of the SNPs. Results: NUP62 rs9523A>G were significantly associated with worse response to EGFRTKIs, overall survival (OS), and progression-free survival (PFS). The other three SNPs (DVL2 rs2074216G>A, ARF1 rs11541557G>T, and UHRF1 rs2261988C>A) were significantly associated with worse OS and PFS. The rs9523A>G was significantly associated with decreased NUP62 expression in tumor tissues. In addition, a significantly decreased luciferase activity was noted in NUP62 rs9523 G allele compared to A allele. Conclusion: Genetic variants in miRNA binding sites, especially NUP62 rs9523A>G, may be useful in predicting the clinical outcomes of EGFR-mutant lung adenocarcinoma patients treated with EGFR-TKIs.

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Park, J. E., Hong, M. J., Lee, S. Y., Lee, J. H., Choi, J. E., Kang, H. G., … Park, J. Y. (2021). Nuclear pore glycoprotein 62 genetic variant rs9523 is associated with clinical outcomes of epidermal growth factor receptor tyrosine kinase inhibitors in lung adenocarcinoma patients. Pharmacogenomics and Personalized Medicine, 14, 1291–1302. https://doi.org/10.2147/PGPM.S329055

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