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
  • [41] Fast GC-FID based metabolic fingerprinting of Japanese green tea leaf for its quality ranking prediction
    Jumtee, Kanokwan
    Bamba, Takeshi
    Fukusaki, Eiichiro
    JOURNAL OF SEPARATION SCIENCE, 2009, 32 (13) : 2296 - 2304
  • [42] Natural Variation of Volatile Compounds in Virgin Olive Oil Analyzed by HS-SPME/GC-MS-FID
    Sanz, Carlos
    Belaj, Angjelina
    Sanchez-Ortiz, Araceli
    Perez, Ana G.
    SEPARATIONS, 2018, 5 (02)
  • [43] SELECTING OPTIMAL PARAMETERS FOR THE UV-HS-SPME/GC/FID METHOD FOR ASSESSING OXIDATIVE STABILITY OF EDIBLE OILS
    Gromadzka, Justyna
    Wardencki, Waldemar
    ZYWNOSC-NAUKA TECHNOLOGIA JAKOSC, 2008, 15 (05): : 235 - 247
  • [44] Simultaneous Estimation of Residual Solvents (Ethanol, Acetone, Dichloromethane and Ethyl Acetate) in Dosage Form by GC-HS-FID
    Baliyan, Praveen Kumar
    Singh, R. P.
    Arora, Saurabh
    ASIAN JOURNAL OF CHEMISTRY, 2009, 21 (08) : 5851 - 5857
  • [45] Comparison of lipids, fatty acids and volatile compounds of various kumquat species using HS/GC/MS/FID techniques
    Gueney, Murat
    Oz, Ayse Tulin
    Kafkas, Ebru
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2015, 95 (06) : 1268 - 1273
  • [46] Optimization of HS-GC-FID-MS Method for Residual Solvent Profiling in Active Pharmaceutical Ingredients Using DoE
    Panovska, Ana Poceva
    Acevska, Jelena
    Stefkov, Gjoshe
    Brezovska, Katerina
    Petkovska, Rumenka
    Dimitrovska, Aneta
    JOURNAL OF CHROMATOGRAPHIC SCIENCE, 2016, 54 (02) : 103 - 111
  • [47] Ailanthus altissima (Miller) Swingle seed oil: chromatographic characterization by GC-FID and HS-SPME-GC-MS, physicochemical parameters, and pharmacological bioactivities
    EL Ayeb-Zakhama, Asma
    Chahdoura, Hassiba
    Ziani, Borhane Eddine Cherif
    Snoussi, Mejdi
    Khemiss, Mehdi
    Flamini, Guido
    Harzallah-Skhiri, Fethia
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (14) : 14137 - 14147
  • [48] Ailanthus altissima (Miller) Swingle seed oil: chromatographic characterization by GC-FID and HS-SPME-GC-MS, physicochemical parameters, and pharmacological bioactivities
    Asma EL Ayeb-Zakhama
    Hassiba Chahdoura
    Borhane Eddine Cherif Ziani
    Mejdi Snoussi
    Mehdi Khemiss
    Guido Flamini
    Fethia Harzallah-Skhiri
    Environmental Science and Pollution Research, 2019, 26 : 14137 - 14147
  • [49] Diagnosis of gastric cancer by serum proteomic fingerprinting
    Poon, Terence C. W.
    Sung, Joseph J. Y.
    Chow, Shuk M.
    Ng, Enders K. W.
    Yu, Alex C. W.
    Chu, Eagle S. H.
    Hui, Angela M. Y.
    Leung, Wai K.
    GASTROENTEROLOGY, 2006, 130 (06) : 1858 - 1864
  • [50] Evaluation of polyacrilate and carbowax/divinylbence fibers in the study of methanol content in aspartame based sweeteners by HS-SPME-GC-FID
    Amaro, R.
    Osorio, T.
    Escalona, A.
    AFINIDAD, 2019, 76 (588) : 278 - 283