Metabolomics fingerprinting of thyroid malignancies: a GC/MS-based approach for subtype classification and biomarker discovery.

ABSTRACT:

Background

Thyroid cancer encompasses distinct histological subtypes, each potentially associated with unique metabolic characteristics. However, the comprehensive metabolic reprogramming underlying these malignancies remains insufficiently characterized. Hence, this study aimed to identify untargeted metabolomics alterations in plasma samples from patients diagnosed with papillary thyroid carcinoma (PTC), follicular thyroid carcinoma (FTC), medullary thyroid carcinoma (MTC), and healthy controls, to elucidate potential metabolic signatures associated with each cancer type.

Methods

Plasma samples from patients with PTC (n = 14), FTC (n = 8), and MTC (n = 15), along with samples from healthy subjects (n = 15), were collected for untargeted metabolomics analysis using gas chro

SUBMITTER: Abooshahab R 

PROVIDER: S-EPMC12523154 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature