Evidence map›Paper›PMID 41595456›Full record

ReviewGenes2025

Review of Genomic Drivers of Thyroid Cancer and Their Clinical Implications.

Sobrina Mohammed, Daniel Mettman, Axel Hugo Breier, Vaishali Patel, Mariana Garcia-Touza

Abstract readReview
In one paragraph

Review in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Sobrina MohammedDepartment of Endocrinology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.ORCID 0009-0005-7924-7624
Daniel MettmanDepartment of Pathology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.ORCID 0000-0003-1735-8925
Axel Hugo BreierDepartment of Research, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.
Vaishali PatelDepartment of Endocrinology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.
Mariana Garcia-TouzaDepartment of Endocrinology, Kansas City Veterans Affairs Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Thyroid NeoplasmsGenomicsHumansMutationgenomic driversmolecular profilingpreoperative planningredifferentiation strategiesrisk stratificationthyroid carcinoma subtypes

Identifiers

PMID41595456
PMCPMC12840629

What OpenQuestion holds

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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.