Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer

dc.contributor.authorWoollam, Mark
dc.contributor.authorTeli, Meghana
dc.contributor.authorAngarita-Rivera, Paula
dc.contributor.authorLiu, Shengzhi
dc.contributor.authorSiegel, Amanda P.
dc.contributor.authorYokota, Hiroki
dc.contributor.authorAgarwal, Mangilal
dc.contributor.departmentChemistry and Chemical Biology, School of Scienceen_US
dc.date.accessioned2019-07-29T18:08:27Z
dc.date.available2019-07-29T18:08:27Z
dc.date.issued2019-02-21
dc.description.abstractBreast cancer is the most common cancer detected in women and current screening methods for the disease are not sensitive. Volatile organic compounds (VOCs) include endogenous metabolites that provide information about health and disease which might be useful to develop a better screening method for breast cancer. The goal of this study was to classify mice with and without tumors and compare tumors localized to the mammary pad and tumor cells injected into the iliac artery by differences in VOCs in urine. After 4T1.2 tumor cells were injected into BALB/c mice either in the mammary pad or into the iliac artery, urine was collected, VOCs from urine headspace were concentrated by solid phase microextraction and results were analyzed by gas chromatography-mass spectrometry quadrupole time-of-flight. Multivariate and univariate statistical analyses were employed to find potential biomarkers for breast cancer and metastatic breast cancer in mice models. A set of six VOCs classified mice with and without tumors with an area under the receiver operator characteristic (ROC AUC) of 0.98 (95% confidence interval [0.85, 1.00]) via five-fold cross validation. Classification of mice with tumors in the mammary pad and iliac artery was executed utilizing a different set of six VOCs, with a ROC AUC of 0.96 (95% confidence interval [0.75, 1.00]).en_US
dc.identifier.citationWoollam, M., Teli, M., Angarita-Rivera, P., Liu, S., Siegel, A. P., Yokota, H., & Agarwal, M. (2019). Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer. Scientific reports, 9(1), 2526. doi:10.1038/s41598-019-38920-0en_US
dc.identifier.urihttps://hdl.handle.net/1805/20013
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1038/s41598-019-38920-0en_US
dc.relation.journalScientific Reportsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourcePMCen_US
dc.subjectBreast canceren_US
dc.subjectVolatile organic compounds (VOCs)en_US
dc.subjectEndogenous metabolitesen_US
dc.subjectScreening methodsen_US
dc.titleDetection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Canceren_US
dc.typeArticleen_US
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