Next Article in Journal
Prenatal Exome Sequencing: When Does Diagnostic Yield Meet Clinical Utility?
Previous Article in Journal
Embryonic Thermal Manipulation Affects Neurodevelopment and Induces Heat Tolerance in Layers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications

1
Department of Endocrinology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA
2
Department of Pathology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA
3
Department of Research, Kansas City Veterans Affairs Medical Center,4801 Linwood Blvd, Kansas City, MO 64128, USA
*
Author to whom correspondence should be addressed.
Genes 2026, 17(1), 36; https://doi.org/10.3390/genes17010036 (registering DOI)
Submission received: 24 November 2025 / Revised: 19 December 2025 / Accepted: 26 December 2025 / Published: 30 December 2025
(This article belongs to the Special Issue Genetics in Thyroid Cancer)

Abstract

Over the past several decades, rapid advances in molecular genomics have transformed our understanding of thyroid malignancies and are increasingly integrated into international clinical guidelines. Mutational profiles and epigenetic events are now recognized not only as diagnostic and prognostic tools but also as predictors of therapeutic response. Papillary, follicular, oncocytic, medullary, and anaplastic thyroid carcinomas harbor distinct early driver mutations, such as BRAFV600E, RAS, and fusion events (RET, NTRK, and ALK), that cooperate with secondary alterations (TERT promoter, TP53, PIK3CA, and CDKN2A/B loss) to drive dedifferentiation, metastasis, and therapeutic resistance. Insights from The Cancer Genome Atlas (TCGA) and transcriptomic scoring systems (e.g., BRAF–RAS score) now link genotype to tumor morphology, metastatic tropism, and radioactive iodine refractoriness. These molecular insights have been incorporated into updated risk stratification frameworks, preoperative surgical planning, and treatment algorithms, informing the selection of kinase inhibitors, redifferentiation strategies, and enrollment in genotype-directed clinical trials for radioiodine-refractory disease. This review synthesizes recent evidence connecting genomic alterations to clinical behavior and highlights their translation into evolving approaches for thyroid cancer management.
Keywords: genomic drivers; thyroid carcinoma subtypes; molecular profiling; risk stratification; redifferentiation strategies; preoperative planning genomic drivers; thyroid carcinoma subtypes; molecular profiling; risk stratification; redifferentiation strategies; preoperative planning

Share and Cite

MDPI and ACS Style

Mohammed, S.; Mettman, D.; Breier, A.H.; Patel, V.; Garcia-Touza, M. Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications. Genes 2026, 17, 36. https://doi.org/10.3390/genes17010036

AMA Style

Mohammed S, Mettman D, Breier AH, Patel V, Garcia-Touza M. Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications. Genes. 2026; 17(1):36. https://doi.org/10.3390/genes17010036

Chicago/Turabian Style

Mohammed, Sobrina, Daniel Mettman, Axel Hugo Breier, Vaishali Patel, and Mariana Garcia-Touza. 2026. "Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications" Genes 17, no. 1: 36. https://doi.org/10.3390/genes17010036

APA Style

Mohammed, S., Mettman, D., Breier, A. H., Patel, V., & Garcia-Touza, M. (2026). Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications. Genes, 17(1), 36. https://doi.org/10.3390/genes17010036

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop