Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures
This study provides the inaugural comprehensive analysis of gut microbiota composition and its differential profiles among patients with epithelial ovarian cancer, those with benign ovarian tumors, and healthy controls in Hunan province, China.
Authors
- Sai Yi Pan (ORCID: https://orcid.org/0000-0001-5465-3339)
- Yufen Zhu
- Fang Lü (ORCID: https://orcid.org/0000-0003-3763-2012)
- Shuguang He
- Chengyuan Deng (ORCID: https://orcid.org/0000-0001-9596-1696)
- Cheng Chen (ORCID: https://orcid.org/0000-0002-6211-3567)
- Yanwen Li (ORCID: https://orcid.org/0000-0001-8773-0038)
- Xiaoxin Jiang (ORCID: https://orcid.org/0000-0002-5990-6064)
- Yunhong Liu (ORCID: https://orcid.org/0000-0001-5900-8523)
- Wenqian Xu (ORCID: https://orcid.org/0000-0003-4962-3295)
- Yingying Wang (ORCID: https://orcid.org/0000-0002-2455-1072)
Institutions
- Xuzhou Medical College (CN)
- Hunan Provincial Center for Disease Control and Prevention (CN)
- Shenzhen Maternity and Child Healthcare Hospital (CN)
- ShenZhen People’s Hospital (CN)
- Hunan Academy of Traditional Chinese Medicine (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1186/s12967-025-06339-z
- Citations
- 11
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 8.87
Funders
- Natural Science Foundation of Hunan Province
- Science, Technology and Innovation Commission of Shenzhen Municipality