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• W4315778801 endingPage "026002" @default.
• W4315778801 startingPage "026002" @default.
• W4315778801 abstract "Abstract Assessing volatile organic compounds (VOCs) as cancer signatures is one of the most promising techniques toward developing non-invasive, simple, and affordable diagnosis. Here, we have evaluated the feasibility of employing static headspace extraction (HS) followed by gas chromatography with flame ionization detector (GC-FID) as a screening tool to discriminate between cancer patients (head and neck—HNC, n = 15; and gastrointestinal cancer—GIC, n = 19) and healthy controls ( n = 37) on the basis of a non-target (fingerprinting) analysis of oral fluid and urine. We evaluated the discrimination considering a single bodily fluid and adopting the hybrid approach, in which the oral fluid and urinary VOCs profiles were combined through data fusion. We used supervised orthogonal partial least squares discriminant analysis for classification, and we assessed the prediction power of the models by analyzing the values of goodness of prediction (Q 2 Y), area under the curve (AUC), sensitivity, and specificity. The individual models HNC urine, HNC oral fluid, and GIC oral fluid successfully discriminated between healthy controls and positive samples (Q 2 Y = 0.560, 0.525, and 0.559; AUC = 0.814, 0.850, and 0.926; sensitivity = 84.8, 70.2, and 78.6%; and specificity = 82.3; 81.5; 87.5%, respectively), whereas GIC urine was not adequate (Q 2 Y = 0.292, AUC = 0.694, sensitivity = 66.1%, and specificity = 77.0%). Compared to the respective individual models, Q 2 Y for the hybrid models increased (0.623 for hybrid HNC and 0.562 for hybrid GIC). However, sensitivity was higher for HNC urine and GIC oral fluid than for hybrid HNC (75.6%) and hybrid GIC (69.8%), respectively. These results suggested that HS-GC-FID fingerprinting is suitable and holds great potential for cancer screening. Additionally, the hybrid approach tends to increase the predictive power if the individual models present suitable quality parameter values. Otherwise, it is more advantageous to use a single body fluid for analysis." @default.
• W4315778801 created "2023-01-13" @default.
• W4315778801 creator A5006217469 @default.
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• W4315778801 creator A5013789751 @default.
• W4315778801 creator A5015944328 @default.
• W4315778801 creator A5063348766 @default.
• W4315778801 date "2023-01-27" @default.
• W4315778801 modified "2023-09-26" @default.
• W4315778801 title "Hybrid volatilomics in cancer diagnosis by HS-GC-FID fingerprinting" @default.
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• W4315778801 doi "https://doi.org/10.1088/1752-7163/acb284" @default.
• W4315778801 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36634358" @default.
• W4315778801 hasPublicationYear "2023" @default.
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• W4315778801 hasAuthorship W4315778801A5063348766 @default.

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