Thyroid : official journal of the American Thyroid Association
October 20, 2026 · via Europe PMC
Precision Thyroid Oncology Using Genetic-Based Therapies: A Narrative Review.
Marotta V, Xing M, Vitale M.
AI summary — for doctors, generated from the abstract only
Genotype-directed therapies now have a defined role in advanced thyroid cancer, strongest for RET-mutant medullary and BRAF V600E anaplastic disease.
What was studied
Narrative review of approved genetic-based therapies: selective RET inhibitors, NTRK inhibitors and dual BRAF/MEK regimens across thyroid cancer types.
Key findings
- Selpercatinib beat standard multikinase inhibitors head-to-head and is the preferred first-line therapy for RET-mutant medullary thyroid cancer.
- BRAF V600E anaplastic cancer responded to BRAF/MEK combinations beyond historical expectations, though approvals are limited to a few countries.
- In radioiodine-refractory differentiated cancer, benefit is limited to molecularly selected patients because actionable alterations are uncommon.
Clinical relevance
Endocrinologists and oncologists should test advanced thyroid cancers for actionable mutations to guide therapy.
Who should care
Limitations
A narrative review without systematic search methods, and availability varies by country regulation.
Order molecular profiling for advanced thyroid cancer and match RET, NTRK or BRAF alterations to targeted therapy.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Background
Most thyroid malignancies harbor a limited set of well-characterized mutations driving tumor initiation and determining phenotype. This relatively direct genotype-phenotype association, bringing insights into molecular mechanisms of progression and drug resistance, makes advanced thyroid cancers suitable for genetic-based therapies. Personalized cancer treatment by targeting actionable tumor mutations represents one of the most innovative frontiers in oncology.
Summary
The present narrative review focuses on actionable mutations occurring in thyroid cancers and provides a state-of-the-art overview of genetic-based treatments that have received regulatory approval worldwide. These include two selective RET inhibitors (sRET-Is) (selpercatinib and pralsetinib), three NTRK inhibitors (NTRK-Is) (larotrectinib, entrectinib, and repotrectinib), and two dual BRAF/MEK inhibitor regimens (dabrafenib plus trametinib and encorafenib plus binimetinib). The most significant impact has been observed in the management of RET-mutant medullary thyroid cancer. Selpercatinib, available in many countries, demonstrated superiority over standard multikinase inhibitors (MKIs) in a head-to-head comparison. It currently represents the best first-line treatment option. In BRAFV600E-positive anaplastic thyroid cancer, both dabrafenib plus trametinib and encorafenib plus binimetinib showed efficacy that appeared to exceed that historically observed with standard approaches. However, their approval is currently limited to a few countries. In radioiodine-refractory differentiated thyroid cancer (DTC), sRET-Is and NTRK-Is are effective in molecularly selected patients and are approved in many countries. However, their applicability is limited by the low prevalence of the corresponding actionable alterations. In BRAFV600E-positive radioiodine-refractory DTC, dabrafenib plus trametinib has emerged as a useful option after MKI failure, although a tumor-specific approval has been granted only in Europe.
Conclusions
Precision oncology is increasingly being integrated into the management of advanced thyroid cancer. However, its impact varies widely across different tumor settings, and its real-world use is strongly influenced by country-specific drug regulations.
DOI
10.1177/10507256261497620
PMID
42897968
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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