Abstract

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.

Measurement(s)

Metabolite

Technology Type(s)

1H nuclear magnetic resonance spectroscopy

Factor Type(s)

Age • Breeds • Sex • ER status • HER2 status • Histological grade • Neutral status

Sample Characteristic - Organism

Canis lupus familiaris

Details

Title
1H NMR based urinary metabolites profiling dataset of canine mammary tumors
Author
Lee, Songyeon 1   VIAFID ORCID Logo  ; Byung-Joon, Seung 2 ; Yang In Seok 3 ; Lee, Jueun 4 ; Ha Taewoong 4 ; Park Hee-Myung 5 ; Jae-Ho, Cheong 3 ; Kim, Sangwoo 3   VIAFID ORCID Logo  ; Jung-Hyang, Sur 2 ; Hwang Geum-Sook 6   VIAFID ORCID Logo  ; Nam Hojung 1   VIAFID ORCID Logo 

1  Gwangju Institute of Science and Technology (GIST), School of Electrical Engineering and Computer Science, Gwangju, South Korea (GRID:grid.61221.36) (ISNI:0000 0001 1033 9831) 
2  Konkuk University, Department of Veterinary Pathology, College of Veterinary Medicine, Seoul, South Korea (GRID:grid.258676.8) (ISNI:0000 0004 0532 8339) 
3  Yonsei University College of Medicine, Department of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Seoul, South Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
4  Korea Basic Science Institute, Integrated Metabolomics Research Group, Western Seoul Center, Seoul, South Korea (GRID:grid.410885.0) (ISNI:0000 0000 9149 5707) 
5  Konkuk University, Department of Veterinary Internal Medicine, College of Veterinary Medicine, Seoul, South Korea (GRID:grid.258676.8) (ISNI:0000 0004 0532 8339) 
6  Korea Basic Science Institute, Integrated Metabolomics Research Group, Western Seoul Center, Seoul, South Korea (GRID:grid.410885.0) (ISNI:0000 0000 9149 5707); Ewha Womans University, Department of Chemistry and Nano Science, Seoul, South Korea (GRID:grid.255649.9) (ISNI:0000 0001 2171 7754) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-022-01229-1
ProQuest document ID
2645773171
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.