期刊
SCIENTIFIC DATA
卷 9, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01229-1
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资金
- Bio & Medical Technology Development Program of the National Research Foundation (NRF) - Korean government (MSIT) [2016M3A9B6903439]
- National Research Foundation of Korea (NRF) - Korea government(MSIT) [2017M3C9A6047625]
- Korea Basic Science Institute [C170200]
- National Research Council of Science & Technology (NST), Republic of Korea [C170200] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2017M3C9A6047625, 2016M3A9B6903439] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Metabolomics is used to identify biomarkers for canine mammary tumors, providing insights into cancer-specific metabolic alterations.
The identification of efficient and sensitive biomarkers for non-invasive tests is one of the major challenges in cancer diagnosis. To address this challenge, metabolomics is widely applied for identifying biomarkers that detect abnormal changes in cancer patients. Canine mammary tumors exhibit physiological characteristics identical to those in human breast cancer and serve as a useful animal model to conduct breast cancer research. Here, we aimed to provide a reliable large-scale metabolite dataset collected from dogs with mammary tumors, using proton nuclear magnetic resonance spectroscopy. We identified 55 metabolites in urine samples from 20 benign, 87 malignant, and 49 healthy control subjects. This dataset provides details of mammary tumor-specific metabolites in dogs and insights into cancer-specific metabolic alterations that share similar molecular characteristics.
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