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Completed

NCT Number: NCT06969768

Proteogenomics for Follicular Cell-derived Thyroid Cancer: Development of a Classification and Prognosis Prediction Model

This study aims to refine the molecular classification of thyroid cancer (TC) using a multi-omics approach. By identifying a novel gene set and applying decision-tree modeling, the study seeks to improve diagnostic accuracy and predict tumor progression in BRAFV600E-like and RAS-like TC subtypes. Protein biomarkers were validated via immunohistochemistry (IHC), with findings confirmed across external datasets.

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Key information

Conditions

Thyroid Cancer Endocrine Gland Neoplasms Endocrine System Diseases Head and Neck Neoplasms Neoplasms Neoplasms by Site Thyroid Diseases Thyroid Neoplasms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Seoul National University Hospital

Seoul, South Korea

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with a confirmed clinical diagnosis of thyroid cancer
  • Availability of surgically resected thyroid tissue suitable for omics analysis

Exclusion criteria

  • Patients who have received chemotherapy for other malignancies

Treatment and study plan

Primary outcomes

  1. Classification Accuracy of Gene-Based Model

    Time frame: 1 year

    The accuracy of the decision-tree model using specific gene set to classify thyroid cancer into BRAFV600E-like, RAS-like, and NT (normal thyroid) -like subtypes. Model performance will be evaluated using accuracy, sensitivity, specificity, and Cohen's kappa.

Sponsors and collaborators

Lead sponsor

Seoul National University Hospital

Other

Collaborators

  • Korea Health Industry Development Institute
  • National Research Foundation of Korea

Registry information

Official study title

Integrative Multi-Omics Refines the Molecular Subtypes of Thyroid Cancers and Enhances Cancer-Progression Prediction

Important dates

Study start
2018
Primary completion
2021
Study completion
2024
First posted
May 14, 2025
Registry last updated
May 14, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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