Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors
Gene expression-based classifiers that confidently, preoperatively rule out thyroid tumor invasion and lymph node metastasis may help personalize the surgical approach for individuals, reducing overtreatment, surgical complications, and postoperative hypothyroidism.
Authors
- Allan Golding
- David N. Bimston (ORCID: https://orcid.org/0000-0001-8439-9562)
- Mohammed Alshalalfa (ORCID: https://orcid.org/0000-0001-8405-3035)
- Yangyang Hao (ORCID: https://orcid.org/0009-0009-4374-1566)
- Ellen Marqusee (ORCID: https://orcid.org/0000-0002-6004-0616)
- Joshua Klopper (ORCID: https://orcid.org/0000-0002-3172-7208)
- Evana Valenzuela Scheker
- Sara Ahmadi (ORCID: https://orcid.org/0000-0002-0566-6771)
- Ruochen Jiang
- Richard T. Kloos (ORCID: https://orcid.org/0000-0003-4183-7387)
- Jing Huang (ORCID: https://orcid.org/0000-0001-5512-9758)
- Gabriel Correa (ORCID: https://orcid.org/0000-0002-1134-8980)
- Emma Namiranian
Institutions
- Brigham and Women's Hospital (US)
- Memorial Healthcare System (US)
- Veracyte (United States) (US)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-07-16
- DOI
- https://doi.org/10.3389/fendo.2025.1600815
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00