Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors

Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors

BackgroundMolecular variants and fusions in thyroid nodules can provide prognostic information at a population level. However, thyroid cancers harboring the same molecular alterations may exhibit diverse clinical behavior. Leveraging exome-enriched gene expression analysis may overcome the limitatio...

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Bibliographic Details
Main Authors: Allan Golding, David Bimston, Emma Namiranian, Ellen Marqusee, Gabriel Correa, Evana Valenzuela Scheker, Ruochen Jiang, Yangyang Hao, Mohammed Alshalalfa, Jing Huang, Joshua P. Klopper, Richard T. Kloos, Sara Ahmadi
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Endocrinology
Subjects:
thyroid nodule
thyroid cancer
Afirma
molecular diagnostics
thyroid tumor prognosis
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1600815/full
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