Biofluid Metabolic Profiling for Lung Cancer Screening via Reactive Matrix-Assisted Laser Desorption Ionization Mass Spectrometry

Lung cancer (LC) has the highest mortality rate among various cancer diseases. Developing an early screening method for LC with high classification accuracy is essential. Herein, 2-hydrazinoquinoline (2-HQ) is utilized as a dual-mode reactive matrix for metabolic fingerprint analysis and LC screenin...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2023-08, Vol.95 (32), p.12062-12070
Main Authors: Li, Zhengzhou, Sun, Chen, Jia, Ke, Wang, Xiao, Han, Jing, Chen, Junyu, Wang, Jiyun, Liu, Huihui, Nie, Zongxiu
Format: Article
Language:English
Subjects:
Aldehydes
Analytical chemistry
Cancer screening
Chemistry
Desorption
Ionization
Ions
Ketones
Lung cancer
Machine learning
Mass spectrometry
Mass spectroscopy
Medical screening
Metabolism
Metabolites
Scientific imaging
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Summary:Lung cancer (LC) has the highest mortality rate among various cancer diseases. Developing an early screening method for LC with high classification accuracy is essential. Herein, 2-hydrazinoquinoline (2-HQ) is utilized as a dual-mode reactive matrix for metabolic fingerprint analysis and LC screening via matrix-assisted laser desorption ionization mass spectrometry (MALDI–MS). Metabolites in both positive mode and negative mode can be detected using 2-HQ as the matrix, and derivative analysis of aldehyde and ketone compounds can be achieved simultaneously. Hundreds of serum and urine samples from LC patients and healthy volunteers were analyzed. Combined with machine learning, LC patients and healthy volunteers were successfully distinguished with a high area under the curve value (0.996 for blind serum samples and 0.938 for urine). The MS signal was identified for metabolic profiling, and dysregulated metabolites of the LC group were analyzed. The above results showed that this method has great potential for rapid screening of LC.
ISSN:0003-2700
1520-6882
DOI:10.1021/acs.analchem.3c02015