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Global analysis of actionable genomic alterations in thyroid cancer and precision-based pharmacogenomic strategies

Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
Espinoza-Ferrao, Samantha;
Affiliation
Centro de Referencia Nacional de Genómica, Secuenciación y Bioinformática ,Instituto Nacional de Investigación en Salud Pública “Leopoldo Izquieta Pérez” ,Quito ,Ecuador
Echeverría-Garcés, Gabriela;
Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
Rivera-Orellana, Sebastián;
Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
Bueno-Miño, José;
Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
Castellanos-Molina, Emilia;
Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
Benítez-Núñez, Melanie;
Affiliation
Cancer Research Group (CRG) ,Faculty of Medicine ,Universidad de Las Américas ,Quito ,Ecuador
López-Cortés, Andrés

Introduction Thyroid cancer, a prevalent endocrine malignancy, has an age-standardized incidence rate of 9.1 per 100,000 people and a mortality rate of 0.44 per 100,000 as of 2024. Despite significant advances in precision oncology driven by large-scale international consortia, gaps persist in understanding the genomic landscape of thyroid cancer and its impact on therapeutic efficacy across diverse populations. Methods To address this gap, we performed comprehensive data mining and in silico analyses to identify pathogenic variants in thyroid cancer driver genes, calculate allele frequencies, and assess deleteriousness scores across global populations, including African, Amish, Ashkenazi Jewish, East and South Asian, Finnish and non-Finnish European, Latino, and Middle Eastern groups. Additionally, pharmacogenomic profiling, in silico drug prescription, and clinical trial data were analyzed to prioritize targeted therapeutic strategies. Results Our analysis examined 56,622 variants in 40 thyroid cancer-driver genes across 76,156 human genomes, identifying 5,001 known and predicted oncogenic variants. Enrichment analysis revealed critical pathways such as MAPK, PI3K-AKT-mTOR, and p53 signaling, underscoring their roles in thyroid cancer pathogenesis. High-throughput validation strategies confirmed actionable genomic alterations in RET, BRAF, NRAS, KRAS, and EPHA7. Ligandability assessments identified these proteins as promising therapeutic targets. Furthermore, our findings highlight the clinical potential of targeted drug inhibitors, including vandetanib, dabrafenib, and selumetinib, for improving treatment outcomes. Discussion This study underscores the significance of integrating genomic insights with pharmacogenomic strategies to address disparities in thyroid cancer treatment. The identification of population-specific oncogenic variants and actionable therapeutic targets provides a foundation for advancing precision oncology. Future efforts should focus on including underrepresented populations, developing population-specific prevention strategies, and fostering global collaboration to ensure equitable access to pharmacogenomic testing and innovative therapies. These initiatives have the potential to transform thyroid cancer care and align with the broader goals of personalized medicine.

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License Holder: Copyright © 2025 Espinoza-Ferrao, Echeverría-Garcés, Rivera-Orellana, Bueno-Miño, Castellanos-Molina, Benítez-Núñez and López-Cortés.

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