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

Volatile organic compounds (VOCs) in urine are potential biomarkers of breast cancer. Previously, our group has investigated breast cancer through analysis of VOCs in mouse urine and identified a panel of VOCs with the ability to monitor tumor progression. However, an unanswered question is whether...

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Autores principales: Grocki, Paul, Woollam, Mark, Wang, Luqi, Liu, Shengzhi, Kalra, Maitri, Siegel, Amanda P., Li, Bai-Yan, Yokota, Hiroki, Agarwal, Mangilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268606/
https://www.ncbi.nlm.nih.gov/pubmed/35807522
http://dx.doi.org/10.3390/molecules27134277
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author Grocki, Paul
Woollam, Mark
Wang, Luqi
Liu, Shengzhi
Kalra, Maitri
Siegel, Amanda P.
Li, Bai-Yan
Yokota, Hiroki
Agarwal, Mangilal
author_facet Grocki, Paul
Woollam, Mark
Wang, Luqi
Liu, Shengzhi
Kalra, Maitri
Siegel, Amanda P.
Li, Bai-Yan
Yokota, Hiroki
Agarwal, Mangilal
author_sort Grocki, Paul
collection PubMed
description Volatile organic compounds (VOCs) in urine are potential biomarkers of breast cancer. Previously, our group has investigated breast cancer through analysis of VOCs in mouse urine and identified a panel of VOCs with the ability to monitor tumor progression. However, an unanswered question is whether VOCs can be exploited similarly to monitor the efficacy of antitumor treatments over time. Herein, subsets of tumor-bearing mice were treated with pitavastatin at high (8 mg/kg) and low (4 mg/kg) concentrations, and urine was analyzed through solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Previous investigations using X-ray and micro-CT analysis indicated pitavastatin administered at 8 mg/kg had a protective effect against mammary tumors, whereas 4 mg/kg treatments did not inhibit tumor-induced damage. VOCs from mice treated with pitavastatin were compared to the previously analyzed healthy controls and tumor-bearing mice using chemometric analyses, which revealed that mice treated with pitavastatin at high concentrations were significantly different than tumor-bearing untreated mice in the direction of healthy controls. Mice treated with low concentrations demonstrated significant differences relative to healthy controls and were reflective of tumor-bearing untreated mice. These results show that urinary VOCs can accurately and noninvasively predict the efficacy of pitavastatin treatments over time.
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spelling pubmed-92686062022-07-09 Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time Grocki, Paul Woollam, Mark Wang, Luqi Liu, Shengzhi Kalra, Maitri Siegel, Amanda P. Li, Bai-Yan Yokota, Hiroki Agarwal, Mangilal Molecules Article Volatile organic compounds (VOCs) in urine are potential biomarkers of breast cancer. Previously, our group has investigated breast cancer through analysis of VOCs in mouse urine and identified a panel of VOCs with the ability to monitor tumor progression. However, an unanswered question is whether VOCs can be exploited similarly to monitor the efficacy of antitumor treatments over time. Herein, subsets of tumor-bearing mice were treated with pitavastatin at high (8 mg/kg) and low (4 mg/kg) concentrations, and urine was analyzed through solid-phase microextraction (SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Previous investigations using X-ray and micro-CT analysis indicated pitavastatin administered at 8 mg/kg had a protective effect against mammary tumors, whereas 4 mg/kg treatments did not inhibit tumor-induced damage. VOCs from mice treated with pitavastatin were compared to the previously analyzed healthy controls and tumor-bearing mice using chemometric analyses, which revealed that mice treated with pitavastatin at high concentrations were significantly different than tumor-bearing untreated mice in the direction of healthy controls. Mice treated with low concentrations demonstrated significant differences relative to healthy controls and were reflective of tumor-bearing untreated mice. These results show that urinary VOCs can accurately and noninvasively predict the efficacy of pitavastatin treatments over time. MDPI 2022-07-03 /pmc/articles/PMC9268606/ /pubmed/35807522 http://dx.doi.org/10.3390/molecules27134277 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grocki, Paul
Woollam, Mark
Wang, Luqi
Liu, Shengzhi
Kalra, Maitri
Siegel, Amanda P.
Li, Bai-Yan
Yokota, Hiroki
Agarwal, Mangilal
Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title_full Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title_fullStr Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title_full_unstemmed Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title_short Chemometric Analysis of Urinary Volatile Organic Compounds to Monitor the Efficacy of Pitavastatin Treatments on Mammary Tumor Progression over Time
title_sort chemometric analysis of urinary volatile organic compounds to monitor the efficacy of pitavastatin treatments on mammary tumor progression over time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268606/
https://www.ncbi.nlm.nih.gov/pubmed/35807522
http://dx.doi.org/10.3390/molecules27134277
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