Literature DB >> 32227867

Urinary Volatile Terpenes Analyzed by Gas Chromatography-Mass Spectrometry to Monitor Breast Cancer Treatment Efficacy in Mice.

Mark Woollam1,2, Meghana Teli1,3, Shengzhi Liu1,3, Ali Daneshkhah1, Amanda P Siegel1,2, Hiroki Yokota1,3,4, Mangilal Agarwal1,2,5.   

Abstract

Urinary volatile terpene (VT) levels are significantly altered with induced models of breast cancer in mice. The question arises whether VTs can detect the efficacy of antitumor treatments. BALB/c mice were injected with 4T1.2 murine tumor cells in the mammary pad or iliac artery to model localized breast cancer and induced bone metastasis. The effect of two dopaminergic antitumor agents was tested by conventional histology and altered VT levels. The headspace of urine specimens was analyzed by gas chromatography-mass spectrometry. In the localized model, the statistical significance (p < 0.05) was identified for 26% of VTs, and in the metastasis model, 19% of VTs. The authors discovered separate VT panels classifying localized/control [area under the curve (AUC) = 1.0] and metastasis/control (AUC = 0.98). Treatment samples were tested using these panels, which showed that mice treated with either agent were statistically significantly different from cancer samples, which is consistent with conventional analysis.

Entities:  

Keywords:  area under the receiver operator characteristic (AUROC); gas chromatography (GC); leave one out cross-validation (LOOCV); linear discriminant analysis (LDA); mass spectrometry (MS); principal component analysis (PCA); quadrupole time-of-flight (QTOF); solid-phase microextraction (SPME); volatile organic compounds (VOCs); volatile terpenes (VTs)

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Year:  2020        PMID: 32227867     DOI: 10.1021/acs.jproteome.9b00722

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time.

Authors:  Paul Grocki; Mark Woollam; Luqi Wang; Shengzhi Liu; Maitri Kalra; Amanda P Siegel; Bai-Yan Li; Hiroki Yokota; Mangilal Agarwal
Journal:  Molecules       Date:  2022-07-03       Impact factor: 4.927

Review 2.  Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review.

Authors:  Michelle Leemans; Pierre Bauër; Vincent Cuzuel; Etienne Audureau; Isabelle Fromantin
Journal:  Biomark Insights       Date:  2022-05-23

Review 3.  Optimization of metabolomic data processing using NOREVA.

Authors:  Jianbo Fu; Ying Zhang; Yunxia Wang; Hongning Zhang; Jin Liu; Jing Tang; Qingxia Yang; Huaicheng Sun; Wenqi Qiu; Yinghui Ma; Zhaorong Li; Mingyue Zheng; Feng Zhu
Journal:  Nat Protoc       Date:  2021-12-24       Impact factor: 13.491

Review 4.  Sniffing Out Urinary Tract Infection-Diagnosis Based on Volatile Organic Compounds and Smell Profile.

Authors:  Valentin-Mihai Dospinescu; Akira Tiele; James A Covington
Journal:  Biosensors (Basel)       Date:  2020-07-23

5.  Odours of cancerous mouse congeners: detection and attractiveness.

Authors:  Flora Gouzerh; Bruno Buatois; Maxime R Hervé; Maicol Mancini; Antonio Maraver; Laurent Dormont; Frédéric Thomas; Guila Ganem
Journal:  Biol Open       Date:  2022-04-29       Impact factor: 2.643

  5 in total

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