Toward the Reliable Diagnosis of Indeterminate Thyroid Lesions: A HRMAS NMR-Based Metabolomics Case of Study

Torregrossa, Liborio; Shintu, Laetitia; Chandran, Jima N.; Tintaru, Aura; Ugolini, Clara; Magalhães, Alviclér; Basolo, Fulvio; Miccoli, Paolo; Caldarelli, Stéfano

doi:10.1021/pr300105e

Cited by 45 publications

(64 citation statements)

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“…These results were consistent with a previous report by Torregrossa et al [21]. Lower concentrations of fatty acids could be caused by an increase in metabolic rate and enhanced membrane synthesis in the cancer tissue [21].…”

Section: Discussionsupporting

confidence: 94%

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Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach

Liang

Miccoli

et al. 2016

Oncotarget

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Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC). Because its diameter is less than 10 mm, diagnosing it accurately is difficult with traditional methods such as image examinations and FNA (Fine Needle Aspiration). Investigating the metabolic changes induced by PTMC may enhance the understanding of its pathogenesis and provide important information for a new diagnosis method and treatment plan. In this study, high resolution magic angle spin (HRMAS) spectroscopy and 1 H-nuclear magnetic resonance ( 1 H-NMR) spectroscopy were used to screen metabolic changes in thyroid tissues and plasma from PTMC patients respectively. The results revealed reduced levels of fatty acids and elevated levels of several amino acids (phenylalanine, tyrosine, lactate, serine, cystine, lysine, glutamine/glutamate, taurine, leucine, alanine, isoleucine and valine) in thyroid tissues, as well as reduced levels of amino acids such as valine, tyrosine, proline, lysine, leucine and elevated levels of glucose, mannose, pyruvate and 3-hydroxybutyrate in plasma, are involved in the metabolic alterations in PTMC. In addition, a receiver operating characteristic (ROC) curve model for PTMC prediction was able to classify cases with good sensitivity and specificity using 9 significant changed metabolites in plasma. This work illustrates that the NMR-based metabolomics approach is capable of providing more sensitive diagnostic results and more systematic therapeutic information for PTMC.

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Section: Discussionsupporting

confidence: 94%

“…Notably, Caldarelli's team used an HRMAS-NMR method to build a diagnostic model to discriminate malignant tumors from the benign ones [21, 22]. The resulting model has better sensitivity and specificity compared to the gold-standard FNA method.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach

Liang

Miccoli

et al. 2016

Oncotarget

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“…The authors suspected that a group of follicular lesions might progress through early malignant changes as was previously reported for adenoma-carcinoma in colonic neoplasms [27,28]. Most recently, the potential of HR MAS spectroscopy measurements to achieve highly accurate diagnosis in thyroid tumor fine-needle aspiration biopsies has been reported in the literature [29,30]. This approach enables discrimination not only between normal and malignant tissues but also between malignant and benign lesions.…”

Section: Introductionmentioning

confidence: 91%

Follicular Adenomas Exhibit a Unique Metabolic Profile. 1H NMR Studies of Thyroid Lesions

et al. 2013

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Thyroid cancer is the most common endocrine malignancy. However, more than 90% of thyroid nodules are benign. It remains unclear whether thyroid carcinoma arises from preexisting benign nodules. Metabolomics can provide valuable and comprehensive information about low molecular weight compounds present in living systems and further our understanding of the biology regulating pathological processes. Herein, we applied 1H NMR-based metabolic profiling to identify the metabolites present in aqueous tissue extracts of healthy thyroid tissue (H), non-neoplastic nodules (NN), follicular adenomas (FA) and malignant thyroid cancer (TC) as an alternative way of investigating cancer lesions. Multivariate statistical methods provided clear discrimination not only between healthy thyroid tissue and pathological thyroid tissue but also between different types of thyroid lesions. Potential biomarkers common to all thyroid lesions were identified, namely, alanine, methionine, acetone, glutamate, glycine, lactate, tyrosine, phenylalanine and hypoxanthine. Metabolic changes in thyroid cancer were mainly related to osmotic regulators (taurine and scyllo- and myo-inositol), citrate, and amino acids supplying the TCA cycle. Thyroid follicular adenomas were found to display metabolic features of benign non-neoplastic nodules and simultaneously displayed a partial metabolic profile associated with malignancy. This finding allows the discrimination of follicular adenomas from benign non-neoplastic nodules and thyroid cancer with similar accuracy. Moreover, the presented data indicate that follicular adenoma could be an individual stage of thyroid cancer development.

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“…The feasibility of using proton MR to study not only thyroid tissue but also FNA was investigated few years ago [103]. Later, a metabolomic approach based on nuclear magnetic resonance showed its potentiality to provide data from cytological thyroid specimens [104]. These authors highlighted an increase of phenylalanine, taurine, and lactate levels and a decrease of choline and choline derivatives, myo-and scylloinositol in the malignant tumors compared with the benign tissue.…”

Section: Expert Commentarymentioning

confidence: 99%

Proteome analysis in thyroid pathology

Pagni

L’Imperio

Bono

et al. 2015

Expert Review of Proteomics

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The incidence of thyroid cancer has continuously increased due to its detection in the preclinical stage. Clinical research in thyroid pathology is focusing on the development of new diagnostic tools to improve the stratification of nodules that have biological, practical and economic consequences on the management of patients. Several clinical questions related to thyroid carcinoma remain open and the use of proteomic research in the hunt for new targets with potential diagnostic applications has an important role in the solutions. Many different proteomic approaches are used to investigate thyroid lesions, including mass spectrometry profiling and imaging technologies. These approaches have been applied to different human tissues (cytological specimens, frozen sections, formalin-fixed paraffin embedded tissue or Tissue Micro Arrays). Moreover, other specimens are used for biomarker discovery, such as cell lines and the secretome. Alternative approaches, such as metabolomics and lipidomics, are also used and integrated within proteomics.

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Toward the Reliable Diagnosis of Indeterminate Thyroid Lesions: A HRMAS NMR-Based Metabolomics Case of Study

Cited by 45 publications

References 45 publications

Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach

Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach

Follicular Adenomas Exhibit a Unique Metabolic Profile. 1H NMR Studies of Thyroid Lesions

Proteome analysis in thyroid pathology

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