The Potential of Metabolomics in the Diagnosis of Thyroid Cancer
authors Coelho, M; Raposo, L; Goodfellow, BJ; Atzori, L; Jones, J; Manadas, B
nationality International
journal INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
author keywords metabolomics; thyroid cancer; biomarker; metabolite; diagnosis
keywords MAGNETIC-RESONANCE-SPECTROSCOPY; CARCINOMA; HSP90; BIOMARKERS; TARGET; TUMORS; DISCRIMINATION; METABOLISM; PROFILES; PATHWAYS
abstract Thyroid cancer is the most common endocrine system malignancy. However, there is still a lack of reliable and specific markers for the detection and staging of this disease. Fine needle aspiration biopsy is the current gold standard for diagnosis of thyroid cancer, but drawbacks to this technique include indeterminate results or an inability to discriminate different carcinomas, thereby requiring additional surgical procedures to obtain a final diagnosis. It is, therefore, necessary to seek more reliable markers to complement and improve current methods. Omics approaches have gained much attention in the last decade in the field of biomarker discovery for diagnostic and prognostic characterisation of various pathophysiological conditions. Metabolomics, in particular, has the potential to identify molecular markers of thyroid cancer and identify novel metabolic profiles of the disease, which can, in turn, help in the classification of pathological conditions and lead to a more personalised therapy, assisting in the diagnosis and in the prediction of cancer behaviour. This review considers the current results in thyroid cancer biomarker research with a focus on metabolomics.
publisher MDPI
isbn 1422-0067
year published 2020
volume 21
issue 15
digital object identifier (doi) 10.3390/ijms21155272
web of science category Biochemistry & Molecular Biology; Chemistry, Multidisciplinary
subject category Biochemistry & Molecular Biology; Chemistry
unique article identifier WOS:000568077300001
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journal analysis (jcr 2019):
journal impact factor 4.556
5 year journal impact factor 4.653
category normalized journal impact factor percentile 74.208
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