ArticleMolecules (Basel, Switzerland)2023
Identification of Diagnostic Metabolic Signatures in Thyroid Tumors Using Mass Spectrometry Imaging.
Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 0 citations in OpenAlex.
- Whole-body mass spectrometry imaging reveals metabolome and lipid peroxidation heterogeneity in zebrafish xenografts of esophageal squamous cell carcinoma.Analytical and bioanalytical chemistry · 2026Article
- Review
- Role of clinicopathologic and sonographic characteristics for the management of patients with cytological diagnosis of thyroid follicular neoplasm.Gland surgery · 2024Article
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6 authors at 1 institution in 1 country.
Funding
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Abstract
"Gray zone" thyroid follicular tumors are difficult to diagnose, especially when distinguishing between benign follicular thyroid adenoma (FTA) and malignant carcinoma (FTC). Thus, proper classification of thyroid follicular diseases may improve clinical prognosis. In this study, the diagnostic performance of metabolite enzymes was evaluated using imaging mass spectrometry to distinguish FTA from FTC and determine the association between metabolite enzyme expression with thyroid follicular borderline tumor diagnosis. Air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFAIDESI-MSI) was used to build a classification model for thyroid follicular tumor characteristics among 24 samples. We analyzed metabolic enzyme marker expression in an independent validation set of 133 cases and further evaluated the potential biological behavior of 19 thyroid borderline lesions. Phospholipids and fatty acids (FAs) were more abundant in FTA than FTC (
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