Literature DB >> 30318614

Serum-plasma matched metabolomics for comprehensive characterization of benign thyroid nodule and papillary thyroid carcinoma.

Feng-Qing Huang1, Jing Li2, Lin Jiang3, Feng-Xiang Wang1, Raphael N Alolga1, Ma-Jie Wang2, Wen-Jian Min1, Gaoxiang Ma2, Yi-Jing Zhao1, Shi-Lei Wang1, Yuan Yu4, Xiang Chen5, Danxia Zhu6, Jun Zhu7, Guangzhou Wang8, Tiansong Xia9, Jian-Feng Sang10, Mao-De Lai1, Ping Li1, Wei Zhu11,12, Lian-Wen Qi1.   

Abstract

Metabolomics offers a noninvasive methodology to identify metabolic markers for pathogenesis and diagnosis of diseases. This work aimed to characterize circulating metabolic signatures of benign thyroid nodule (BTN) and papillary thyroid carcinoma (PTC) via serum-plasma matched metabolomics. A cohort of 1,540 serum-plasma matched samples and 114 tissues were obtained from healthy volunteers, BTN and PTC patients enrolled from 6 independent centers. Untargeted metabolomics was determined by liquid chromatography-quadrupole time-of-flight mass spectrometric and multivariate statistical analyses. The use of serum-plasma matched samples afforded a broad-scope detection of 1,570 metabolic features. Metabolic phenotypes revealed significant pattern differences for healthy versus BTN and healthy versus PTC. Perturbed metabolic pathways related mainly to amino acid and lipid metabolism. It is worth noting that, BTN and PTC showed no significant differences but rather overlap in circulating metabolic signatures, and this observation was replicated in all study centers. For differential diagnosis of healthy versus thyroid nodules (BTN + PTC), a panel of 6 metabolic markers, namely myo-inositol, α-N-phenylacetyl-L-glutamine, proline betaine, L-glutamic acid, LysoPC(18:0) and LysoPC(18:1) provided area under the curve of 97.68% in the discovery phase and predictive accuracies of 84.78-98.18% in the 4 validation centers. Taken together, serum-plasma matched metabolomics showed significant differences in circulating metabolites for healthy versus nodules but not for BTN versus PTC. Our results highlight the true metabolic nature of thyroid nodules, and potentially decrease overtreatment that exposes patients to unnecessary risks.
© 2018 UICC.

Entities:  

Keywords:  biomarkers; metabolomics; non-invasive diagnosis; papillary thyroid carcinoma; thyroid nodule

Mesh:

Substances:

Year:  2018        PMID: 30318614     DOI: 10.1002/ijc.31925

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


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