Identification of volatile organic compounds in the urine of patients with cervical cancer. Test concept for timely screening
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The objective of this research was to identify a global chemical pattern of volatile organic compounds (VOCs) in urine capable of discriminating between women with cervical cancer (CC) and control women using an electronic nose and to elucidate potential biomarkers by gas chromatography-mass spectrometry (GC–MS). A cross-sectional study was performed, with 12 control women, 5 women with CIN (Cervical Intraepithelial Neoplasia) and 12 women with CC. Global VOCs in urine were assessed using an electronic nose and specific by GC–MS. Multivariate analysis was performed: Principal Component Analysis (PCA), Canonical Principal Coordinate Analysis (CAP) and Partial Least Squares Discriminant Analysis (PLS-DA) and the test%27s diagnostic power was evaluated through ROC (Receiver Operating Characteristic) curves. Results from the PCA between the control group compared to the CC present variability of 98.4%25 (PC1 = 93.9%25, PC2 = 2.3%25 and PC3 = 2.1%25). CAP model shows a separation between the overall VOCs profile of the control and CC group with a correct classification of 94.7%25. PLS-DA indicated that 8 sensors have a higher contribution in the CC group. The sensitivity, specificity, value reached 91.6%25 (61.5%25-99.7%25) and 100%25 (73.5%25-100%25) respectively, according to the ROC curve. GC–MS analysis indicated that 33 compounds occur only in the CC group and some of them have been found in other types of cancer. In all, this study provides the basis for the development of an accessible, non-invasive, sensitive and specific screening platform for cervical cancer through the application of electronic nose and chemometric analysis. © 2021 Elsevier B.V.
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The objective of this research was to identify a global chemical pattern of volatile organic compounds (VOCs) in urine capable of discriminating between women with cervical cancer (CC) and control women using an electronic nose and to elucidate potential biomarkers by gas chromatography-mass spectrometry (GC–MS). A cross-sectional study was performed, with 12 control women, 5 women with CIN (Cervical Intraepithelial Neoplasia) and 12 women with CC. Global VOCs in urine were assessed using an electronic nose and specific by GC–MS. Multivariate analysis was performed: Principal Component Analysis (PCA), Canonical Principal Coordinate Analysis (CAP) and Partial Least Squares Discriminant Analysis (PLS-DA) and the test's diagnostic power was evaluated through ROC (Receiver Operating Characteristic) curves. Results from the PCA between the control group compared to the CC present variability of 98.4%25 (PC1 = 93.9%25, PC2 = 2.3%25 and PC3 = 2.1%25). CAP model shows a separation between the overall VOCs profile of the control and CC group with a correct classification of 94.7%25. PLS-DA indicated that 8 sensors have a higher contribution in the CC group. The sensitivity, specificity, value reached 91.6%25 (61.5%25-99.7%25) and 100%25 (73.5%25-100%25) respectively, according to the ROC curve. GC–MS analysis indicated that 33 compounds occur only in the CC group and some of them have been found in other types of cancer. In all, this study provides the basis for the development of an accessible, non-invasive, sensitive and specific screening platform for cervical cancer through the application of electronic nose and chemometric analysis. © 2021 Elsevier B.V.
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Cervical Cancer; Chemoresistive sensors; Electronic nose; Human Papilloma Virus; Screening test; Volatile Organic Compounds alcohol; alkane; alkene; dimeticone; macrogol; messenger RNA; nanoparticle; oligonucleotide; polypropylene; polystyrene; polyvinyl acetate; volatile organic compound; adult; alcohol consumption; Article; biopsy; cancer patient; cancer screening; clinical article; controlled study; cross-sectional study; cytology; DNA extraction; female; gas chromatography; genotype; headspace solid phase microextraction; histology; human; human tissue; mass spectrometry; metabolite; normal human; real time polymerase chain reaction; smoking; urinalysis; urine; uterine cervix cancer; uterine cervix carcinoma in situ; virus load; Wart virus; early cancer diagnosis; electronic nose; uterine cervix tumor; Cross-Sectional Studies; Early Detection of Cancer; Electronic Nose; Female; Humans; Uterine Cervical Neoplasms; Volatile Organic Compounds
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