Proteogenomics for Follicular Cell-derived Thyroid Cancer: Development of a Classification and Prognosis Prediction Model
NCT06969768 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 275
Last updated 2025-05-14
Summary
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.
Conditions
Sponsors & Collaborators
-
Korea Health Industry Development Institute
collaborator OTHER_GOV -
National Research Foundation of Korea
collaborator OTHER -
Seoul National University Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-02-21
- Primary Completion
- 2021-02-21
- Completion
- 2024-02-28
Countries
- South Korea
Study Locations
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