Plasma Metabolomic Biomarkers in Papillary Thyroid Carcinoma: a Case-control Study and Systematic Comparison
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R Abooshahab , S Pakizehkar , S Hosseinzadeh , L Hoghooghi Rad , H Golab Ghadaksaz , M Hedayati  |
Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, I.R. Iran. , hedayati47@gmail.com |
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Abstract: (311 Views) |
Introduction: Papillary thyroid carcinoma (PTC) is becoming the fastest-growing thyroid cancer type worldwide. Therefore, finding effective biomarkers for early screening of PTC is urgent. In this study, we aimed to investigate circulating PTC metabolites in plasma samples using an untargeted NMR-based metabolomics approach. A systematic literature review was also conducted to compare our results with studies regarding PTC metabolic perturbation using NMR-based metabolomics. Materials and Methods: Proton nuclear magnetic resonance (1H-NMR) was used to assess the major metabolic alterations in plasma samples from PTC patients concerning healthy subjects. Multivariate and univariate analyses revealed the significantly altered metabolites, including orthogonal partial least squares discriminant analysis (OPLS-DA), enrichment and pathway analyses, and student t-tests. Besides, a literature search with publication dates from 2014 to 2024 was conducted. After removing duplicates, unrelated articles, and reviews, ten studies met the eligibility criteria. Results: Univariate and multivariate statistical analysis indicated that three metabolites, glutamine, choline, and succinic acid, significantly differed between PTC and healthy groups. The reduction in glutamine plasma levels was likely related to the high risk of PTC tumorigenesis (Odds ratio 0.90; 95% CI 0.83–0.97; P=0.011). Receiving operating characteristic (ROC) curve analysis corroborated this, which indicated that glutamine could discriminate PTC from healthy subjects (area under ROC curve value, AUC=0.98). Conclusion: This study demonstrated that the NMR-based metabolomics profiling approach has the potential to provide considerable insight into the identification of diagnostic biomarkers for the early detection of PTC patients.
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Keywords: Biomarkers, 1H-NMR, Metabolomics, Metabolites, Metabolic reprogramming, Papillary thyroid cancer |
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Full-Text [PDF 1831 kb]
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Type of Study: Original |
Subject:
Endocrinology Received: 2024/05/4 | Accepted: 2024/11/2 | Published: 2024/02/29
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