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Identifying potential breath biomarkers for early diagnosis of papillary thyroid cancer based on solid-phase microextraction gas chromatography-high resolution mass spectrometry with metabolomics
被引:1
|作者:
Li, Lan
[1
]
Wen, Xinxin
[2
]
Li, Xian
[1
]
Yan, Yaqi
[1
]
Wang, Jiayu
[1
]
Zhao, Xuyang
[1
]
Tian, Yonghui
[1
]
Ling, Rui
[2
]
Duan, Yixiang
[1
]
机构:
[1] Northwest Univ, Coll Chem & Mat Sci, Res Ctr Analyt Instrumentat, Key Lab Synthet & Nat Funct Mol Chem,Minist Educ, Xian 710069, Shaanxi, Peoples R China
[2] Air Force Mil Med Univ, Xijing Hosp, Dept Thyroid Breast & Vasc Surg, Xian 710032, Shaanxi, Peoples R China
关键词:
Metabolomics;
SPME-GC-HRMS;
Papillary thyroid cancer;
Exhaled breath analysis;
Biomarkers;
Noninvasive diagnosis;
VOLATILE ORGANIC-COMPOUNDS;
LUNG-CANCER;
CARCINOMA;
BENIGN;
EXPRESSION;
HEADSPACE;
AIR;
D O I:
10.1007/s11306-024-02119-w
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
IntroductionThyroid 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.ObjectivesThis study aims to achieve a more comprehensive and definitive exhaled breath metabolism profile in papillary thyroid cancer patients (PTCs).MethodsWe 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.ResultsThe 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 methodConclusionThis 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.
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页数:13
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