| Title: | Detection of Volatile Organic Compounds (VOCs) in Urine via Gas Chromatography-Mass Spectrometry QTOF to Differentiate Between Localized and Metastatic Models of Breast Cancer |
| Author(s): | Woollam M; Teli M; Angarita-Rivera P; Liu S; Siegel AP; Yokota H; Agarwal M; |
| Address: | "IUPUI, Department of Chemistry and Chemical Biology, Indianapolis, 46202, USA. Integrated Nanosystems Development Institute, Indianapolis, 46202, USA. IUPUI, Department of Biomedical Engineering, Indianapolis, 46202, USA. Biomechanics and Biomaterials Research Center, Indianapolis, 46202, USA. IUPUI, Department of Chemistry and Chemical Biology, Indianapolis, 46202, USA. agarwal@iupui.edu. IUPUI, Department of Mechanical Engineering and Energy, Indianapolis, 46202, USA. agarwal@iupui.edu. Integrated Nanosystems Development Institute, Indianapolis, 46202, USA. agarwal@iupui.edu" |
| DOI: | 10.1038/s41598-019-38920-0 |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| Abstract: | "Breast 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])" |
| Keywords: | "Animals Biomarkers, Tumor/*urine Breast Neoplasms/pathology/*urine Female Gas Chromatography-Mass Spectrometry Humans Limit of Detection Mammary Neoplasms, Animal/pathology/*urine Mass Screening Mice Neoplasm Metastasis ROC Curve Volatile Organic Compound;" |
| Notes: | "MedlineWoollam, Mark Teli, Meghana Angarita-Rivera, Paula Liu, Shengzhi Siegel, Amanda P Yokota, Hiroki Agarwal, Mangilal eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. England 2019/02/23 Sci Rep. 2019 Feb 21; 9(1):2526. doi: 10.1038/s41598-019-38920-0" |
