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Related Experiment Video

Updated: Jul 12, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

Development of Novel mRNA Classifiers to Stratify Preoperative Thyroid Tumor Risk.

Thomas F Barrett1, Mohamed Jama1, Mohammed Alshalalfa2

  • 1Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.

Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery
|July 10, 2026
PubMed
Summary

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A new 144-gene classifier, POINT, predicts genomic alterations and surgical risk in differentiated thyroid carcinomas (DTCs). This tool aids in personalized, biology-driven treatment decisions for thyroid cancer.

Area of Science:

  • Oncology
  • Genomics
  • Translational Research

Background:

  • Differentiated thyroid carcinomas (DTCs) under 4 cm pose challenges for surgical extent decisions.
  • Current risk stratification relies on size and traditional histopathology, potentially missing key genomic drivers.

Purpose of the Study:

  • To develop and validate a preoperative risk classifier for guiding surgical extent in DTCs.
  • To integrate genomic and clinical data for improved thyroid cancer risk assessment.

Main Methods:

  • Developed Clinico-TRanscriptomic (CTR) groups using The Cancer Genome Atlas (TCGA) data.
  • Performed differential gene expression (DGE) analysis to identify key genes.
  • Created a 144-gene classifier (POINT) and validated it using independent cohorts (GC and surgical).
Keywords:
Afirmaclusteringprognostic gene signaturethyroid cancerthyroid nodule

Related Experiment Videos

Last Updated: Jul 12, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

Main Results:

  • The POINT classifier identified distinct genomic profiles associated with BRAF mutations, TERT promoter mutations, and RAS alterations.
  • POINT demonstrated fair agreement with the American Thyroid Association (ATA) risk group.
  • The classifier showed a high negative predictive value (NPV) for ruling out high ATA risk and suggested potential to reduce completion thyroidectomies.

Conclusions:

  • The POINT classifier accurately predicts genomic alterations and ATA risk in independent datasets.
  • This genomic classifier advances precision oncology for DTCs.
  • The study promotes a shift towards individualized, biology-driven thyroid cancer care over size-based approaches.