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Integrative metabonomics as potential method for diagnosis of thyroid malignancy.

ABSTRACT: Thyroid nodules can be classified into benign and malignant tumors. However, distinguishing between these two types of tumors can be challenging in clinics. Since malignant nodules require surgical intervention whereas asymptomatic benign tumors do not, there is an urgent need for new techniques that enable accurate diagnosis of malignant thyroid nodules. Here, we used (1)H NMR spectroscopy coupled with pattern recognition techniques to analyze the metabonomes of thyroid tissues and their extracts from thyroid lesion patients (n?=?53) and their adjacent healthy thyroid tissues (n?=?46). We also measured fatty acid compositions using GC-FID/MS techniques as complementary information. We demonstrate that thyroid lesion tissues can be clearly distinguishable from healthy tissues, and malignant tumors can also be distinguished from the benign tumors based on the metabolic profiles, both with high sensitivity and specificity. In addition, we show that thyroid lesions are accompanied with disturbances of multiple metabolic pathways, including alterations in energy metabolism (glycolysis, lipid and TCA cycle), promotions in protein turnover, nucleotide biosynthesis as well as phosphatidylcholine biosynthesis. These findings provide essential information on the metabolic features of thyroid lesions and demonstrate that metabonomics technology can be potentially useful in the rapid and accurate preoperative diagnosis of malignant thyroid nodules.

SUBMITTER: Tian Y

PROVIDER: S-EPMC4613561 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Integrative metabonomics as potential method for diagnosis of thyroid malignancy.

Tian Yuan Y Nie Xiu X Xu Shan S Li Yan Y Huang Tao T Tang Huiru H Wang Yulan Y

Scientific reports 20151021

Thyroid nodules can be classified into benign and malignant tumors. However, distinguishing between these two types of tumors can be challenging in clinics. Since malignant nodules require surgical intervention whereas asymptomatic benign tumors do not, there is an urgent need for new techniques that enable accurate diagnosis of malignant thyroid nodules. Here, we used (1)H NMR spectroscopy coupled with pattern recognition techniques to analyze the metabonomes of thyroid tissues and their extrac ...[more]

PMID: 26486570

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Project description:Differentiated thyroid cancer (DTC) is a common type of cancer among women with an increasing worldwide incidence rate. However, there are no specific and sensitive molecular biomarkers for DTC diagnosis or prognosis. Angiopoietin-like protein 1 (ANGPTL1) may be a novel tumor suppressor in lung, breast, colorectal and hepatocellular carcinoma. However, little is known about the influence of ANGPTL1 on the malignant properties of thyroid cancer cells or DTC recurrence in patients. Thus, the present study aimed to investigate the effects of ANGPTL1 on thyroid cancer malignancy or recurrence. The present study examined the mRNA levels of ANGPTL1 in thyroid cancer and paracancerous tissues using RNA sequencing data from The Cancer Genome Atlas. The present study also determined the effects of ANGPTL1 on thyroid cancer cell proliferation using the Cell Counting Kit-8 assay. Associations were identified among ANGPTL1 expression levels and thyroid cancer proliferation, migration and metastasis using The Cancer Genome Atlas data set and by Gene Set Enrichment Analysis. The expression of ANGPTL1 in patients with DTC and without recurrence was compared in order to assess its potential as a prognostic biomarker for DTC. In addition, ANGPTL1 concentrations in the serum of patients with DTC and individuals with benign thyroid nodules were compared to evaluate the sensitivity and specificity of ANGPTL1 as a predictive biomarker for DTC. The results of the present study demonstrated that ANGPTL1 expression levels were lower in thyroid cancer compared with those in adjacent normal thyroid tissues. ANGPTL1 expression was observed to decrease with thyroid cancer progression. In addition, ANGPTL1 was demonstrated to inhibit thyroid cancer cell proliferation, migration and invasion and ANGPTL1 expression levels were reduced in patients with DTC with recurrence compared with those in patients with non-recurrent DTC. Additionally, serum concentrations of ANGPTL1 in patients with DTC were decreased compared with those in individuals with benign thyroid nodules. In conclusion, ANGPTL1 may be a novel predictive biomarker for DTC diagnosis and recurrence in patients with DTC.

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Integrative metabonomics as potential method for diagnosis of thyroid malignancy.

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Integrative metabonomics as potential method for diagnosis of thyroid malignancy.

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