Plasma metabolite based clustering of breast cancer survivors and identification of dietary and health related characteristics: an application of unsupervised machine learning
The breast cancer survivors clustered on the basis of plasma metabolites had distinct characteristics. Further prospective studies are needed to investigate the associations between metabolites, obesity, dietary factors, and breast cancer prognosis.
Authors
- Jihyoung Cho (ORCID: https://orcid.org/0000-0002-1680-2919)
- Ga-Eun Yie (ORCID: https://orcid.org/0000-0001-8024-765X)
- Yoo Seok Kim (ORCID: https://orcid.org/0000-0002-5853-4748)
- Jun Won Min (ORCID: https://orcid.org/0000-0001-7440-2561)
- Sihan Song (ORCID: https://orcid.org/0000-0003-1634-8004)
- Hyun Jo Youn (ORCID: https://orcid.org/0000-0002-2407-8537)
- Jung Eun Lee (ORCID: https://orcid.org/0000-0003-1141-878X)
- Zisun Kim (ORCID: https://orcid.org/0000-0002-1413-2800)
- Woojin Kyeong (ORCID: https://orcid.org/0009-0001-9171-7183)
Institutions
- Seoul National University (KR)
- Soonchunhyang University (KR)
- National Institute of Ecology (KR)
- Chosun University Hospital (KR)
- Dankook University Hospital (KR)
- Keimyung University (KR)
- Bucheon University (KR)
- Jeonbuk National University (KR)
Publication Details
- Journal
- Nutrition Research and Practice
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4162/nrp.2025.19.2.273
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00