Hybrid volatilomics in cancer diagnosis by HS-GC-FID fingerprinting

被引:5
|
作者
da Costa, Bruno Ruiz Brandao [1 ]
da Silva, Ricardo Roberto [2 ]
Bigao, Vitor Luiz Caleffo Piva [1 ]
Peria, Fernanda Maris [3 ]
De Martinis, Bruno Spinosa [4 ]
机构
[1] Univ Sao Paulo, Sch Pharmaceut Sci Ribeirao Preto, Dept Clin Toxicol & Food Sci, BR-14040903 Ribeirao Preto, Brazil
[2] Univ Sao Paulo, Sch Pharmaceut Sci Ribeirao Preto, Dept Biomol Sci, Nucleo Pesquisa Prod Nat & Sintet NPPNS, BR-14040903 Ribeirao Preto, Brazil
[3] Univ Sao Paulo, Ribeirao Preto Med Sch, Div Clin Oncol, BR-14049900 Ribeirao Preto, Brazil
[4] Univ Sao Paulo, Fac Philosophy Sci & Letters Ribeirao Preto, Dept Chem, BR-14040901 Ribeirao Preto, Brazil
基金
巴西圣保罗研究基金会;
关键词
VOCs; metabolomics; headspace; DoE; optimization; head and neck cancer; oral fluid; SQUAMOUS-CELL CARCINOMA; MASS-SPECTROMETRY; DISCRIMINANT-ANALYSIS; PATTERN-RECOGNITION; HEAD; BREATH; SALIVA; MICROEXTRACTION; OPTIMIZATION; DESIGN;
D O I
10.1088/1752-7163/acb284
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:15
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