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
相关论文
共 50 条
  • [31] Odor-contributing volatile compounds of wild edible Nordic mushrooms analyzed with HS-SPME-GC-MS and HS-SPME-GC-O/FID
    Aisala, Heikki
    Sola, Juha
    Hopia, Anu
    Linderborg, Kaisa M.
    Sandell, Mari
    FOOD CHEMISTRY, 2019, 283 : 566 - 578
  • [32] Determination of low molecular weight volatiles in Ficus carica using HS-SPME and GC/FID
    Oliveira, Andreia P.
    Silva, Luis R.
    Andrade, Paula B.
    Valentao, Patricia
    Silva, Branca M.
    Pereira, Jose A.
    de Pinho, Paula Guedes
    FOOD CHEMISTRY, 2010, 121 (04) : 1289 - 1295
  • [33] Development of Analytical Technology Using the HS-SPME-GC/FID for Monitoring Aromatic Solvents in Urine
    Lee, Mi-Young
    Chung, Yun Kyung
    Shin, Kyong-sok
    MASS SPECTROMETRY LETTERS, 2013, 4 (01) : 18 - 20
  • [34] Determining Organotin Compounds in Marine Water and Sediment Samples using HS-SPME-GC-FID
    Chafer Pericas, Maria Consuelo
    Meseguer Lloret, Susana
    Torres Cartas, Sagrario
    Rodilla Alama, Miguel
    LC GC EUROPE, 2009, 22 (10) : 506 - +
  • [35] Simultaneous Estimation of Residual Solvents (Isopropyl Alcohol and Dichloromethane) in Dosage Form by GC-HS-FID
    Baliyan, Praveen Kumar
    Singh, R. P.
    Arora, Saurabh
    ASIAN JOURNAL OF CHEMISTRY, 2009, 21 (03) : 1739 - 1746
  • [36] APPLICATION OF HS-SPME_GC/FID METHOD TO DETECT EARLY OXIDATIVE CHANGES IN FLAX OIL
    Minkowski, Karol
    Grzeskiewicz, Stanislaw
    Krupska, Anna
    ZYWNOSC-NAUKA TECHNOLOGIA JAKOSC, 2012, 19 (06): : 93 - 102
  • [37] Odor-contributing volatile compounds of a new Brazilian tabasco pepper cultivar analyzed by HS-SPME-GC-MS and HS-SPME-GC-O/FID
    Garruti, Deborah dos Santos
    Mesquita, Wivian de Sousa
    Rodrigues Magalhaes, Hilton Cesar
    da Silva Araujo, Idila Maria
    Alves Pereira, Rita de Cassia
    FOOD SCIENCE AND TECHNOLOGY, 2021, 41 (03): : 696 - 701
  • [38] DEVELOPMENT AND VALIDATION OF A QUANTITATIVE HS-GC/FID METHOD FOR ALCOHOL ANALYSIS IN BIOLOGICAL SAMPLES: STABILITY ASSESMENT
    Bujaroska, Marija
    Bozhinoska, Zorica
    Vujovic, Maja
    Milosavljevic, Biljana
    Stankov, Aleksandar
    Ivanovska, Tanja Petreska
    Poposka, Verica
    Tozi, Lidija Petrushevska
    ROMANIAN JOURNAL OF LEGAL MEDICINE, 2022, 30 (01): : 53 - 59
  • [39] Fingerprinting of Volatile Organic Compounds in Old and Commercial Apple Cultivars by HS-SPME GC/GC-ToF-MS
    Szymczak, Kamil
    Nawrocka, Justyna
    Bonikowski, Radoslaw
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (24)
  • [40] Characterisation of volatile compounds associated to sensory changes during the storage of traditional sorghum beer by HS-GC/FID and SPME-GC/MS
    Attchelouwa, Constant K.
    N'guessan, Florent K.
    Marcotte, Stephane
    Amoikon, Tiemele L. S.
    Charmel, Melissa
    Dje, Marcellin K.
    JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2020, 2