Evidence map›Paper›PMID 40297138›Full record

ArticleFrontiers in pharmacology2025

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

Samantha Espinoza-Ferrao, Gabriela Echeverría-Garcés, Sebastián Rivera-Orellana, José Bueno-Miño, Emilia Castellanos-Molina, Melanie Benítez-Núñez, Andrés López-Cortés

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Samantha Espinoza-FerraoCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.
Gabriela Echeverría-GarcésCentro de Referencia Nacional de Genómica, Secuenciación y Bioinformática, Instituto Nacional de Investigación en Salud Pública "Leopoldo Izquieta Pérez", Quito, Ecuador.
Sebastián Rivera-OrellanaCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.
José Bueno-MiñoCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.
Emilia Castellanos-MolinaCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.
Melanie Benítez-NúñezCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.
Andrés López-CortésCancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 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.

Indexed as

allele frequenciesdrug prescriptionglobal populationspathogenic variantspharmacogenomic testingprecision oncologythyroid cancer

Identifiers

PMID40297138
PMCPMC12034932

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.