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

Seoul National University

Status: Completed

Conditions: Thyroid Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT06969768

1802-067-922

Details and patient eligibility

About

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.

Enrollment: 275 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

Trial design

275 participants in 1 patient group

Thyroid cancer

Description:

All patients diagnosed with thyroid cancer who underwent thyroidectomy at Seoul National University Hospital