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Dataset Information

Multi-Omic Analysis Reveals a Lipid Metabolism Gene Signature and Predicts Prognosis and Chemotherapy Response in Thyroid Carcinoma.


ABSTRACT:

Objective

Lipid metabolic reprogramming is closely intertwined with the development and progression of thyroid carcinoma (TC); however, its specific mechanism remains elusive. This study aimed to investigate the association between lipid metabolism and TC progression.

Methods

We employed liquid chromatography-mass spectrometry (LC/MS) for an untargeted metabolomics analysis, comparing 12 TC patients and 12 healthy controls (HC). Additionally, we conducted the screening of differentially expressed genes (DEGs) and identified differentially expressed lipid metabolism genes (LMGs). Multi-omic findings related to lipid metabolism were integrated to establish a prognostic risk model. The resulting risk score stratified TC patients into high- and low-risk groups. Overall survival

SUBMITTER: Tu Y 

PROVIDER: S-EPMC11928767 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature