Identifying potential breath biomarkers for early diagnosis of papillary thyroid cancer based on solid-phase microextraction gas chromatography-high resolution mass spectrometry with metabolomics.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Lan Li, Xinxin Wen, Xian Li, Yaqi Yan, Jiayu Wang, Xuyang Zhao, Yonghui Tian, Rui Ling, Yixiang Duan
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引用次数: 0

Abstract

Introduction: Thyroid cancer incidence rate has increased substantially worldwide in recent years. Fine needle aspiration biopsy (FNAB) is currently the golden standard of thyroid cancer diagnosis, which however, is invasive and costly. In contrast, breath analysis is a non-invasive, safe and simple sampling method combined with a promising metabolomics approach, which is suitable for early cancer diagnosis in high volume population.

Objectives: This study aims to achieve a more comprehensive and definitive exhaled breath metabolism profile in papillary thyroid cancer patients (PTCs).

Methods: We studied both end-tidal and mixed expiratory breath, solid-phase microextraction gas chromatography coupled with high resolution mass spectrometry (SPME-GC-HRMS) was used to analyze the breath samples. Multivariate combined univariate analysis was applied to identify potential breath biomarkers.

Results: The biomarkers identified in end-tidal and mixed expiratory breath mainly included alkanes, olefins, enols, enones, esters, aromatic compounds, and fluorine and chlorine containing organic compounds. The area under the curve (AUC) values of combined biomarkers were 0.974 (sensitivity: 96.1%, specificity: 90.2%) and 0.909 (sensitivity: 98.0%, specificity: 74.5%), respectively, for the end-tidal and mixed expiratory breath, indicating of reliability of the sampling and analysis method CONCLUSION: This work not only successfully established a standard metabolomic approach for early diagnosis of PTC, but also revealed the necessity of using both the two breath types for comprehensive analysis of the biomarkers.

Abstract Image

基于固相微萃取气相色谱-高分辨质谱联用代谢组学鉴定用于甲状腺乳头状癌早期诊断的潜在呼气生物标记物
导言近年来,甲状腺癌的发病率在全球范围内大幅上升。细针穿刺活检(FNAB)是目前诊断甲状腺癌的黄金标准,但其具有创伤性且成本高昂。相比之下,呼气分析是一种无创、安全、简便的采样方法,并结合了前景广阔的代谢组学方法,适用于大样本人群的早期癌症诊断:本研究旨在对甲状腺乳头状癌(PTC)患者的呼气代谢情况进行更全面、更明确的分析:我们研究了潮气末呼气和混合呼气,采用固相微萃取气相色谱-高分辨质谱联用技术(SPME-GC-HRMS)分析呼气样本。采用多变量联合单变量分析来确定潜在的呼气生物标志物:结果:在潮气末和混合呼气中发现的生物标记物主要包括烷烃、烯烃、烯醇、烯酮、酯、芳香族化合物以及含氟和氯的有机化合物。潮气末呼气和混合呼气的综合生物标志物曲线下面积(AUC)值分别为0.974(灵敏度:96.1%,特异性:90.2%)和0.909(灵敏度:98.0%,特异性:74.5%),表明采样和分析方法可靠。 结论:该研究不仅成功建立了用于PTC早期诊断的标准代谢组学方法,而且揭示了使用两种呼气类型对生物标志物进行综合分析的必要性。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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