Intratumoral microbiota-aided fusion radiomics model for predicting tumor response to neoadjuvant chemoimmunotherapy in triple-negative breast cancer
Our intratumoral microbiota-aided radiomics model could serve as a powerful and noninvasive tool for predicting the response of patients with early-stage TNBC to NACI.
Authors
- Cangui Wu
- Minyi Cheng (ORCID: https://orcid.org/0000-0003-1140-3713)
- Teng Zhu (ORCID: https://orcid.org/0000-0002-1754-4878)
- Wei Li (ORCID: https://orcid.org/0000-0002-9991-7892)
- Yilin Chen (ORCID: https://orcid.org/0000-0001-8737-2824)
- Hao Peng (ORCID: https://orcid.org/0000-0002-6903-7325)
- Yu‐Hong Huang (ORCID: https://orcid.org/0000-0003-0914-2737)
- Liulu Zhang
- Kun Wang (ORCID: https://orcid.org/0009-0006-7995-3796)
Institutions
- First People's Hospital of Foshan (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1186/s12967-025-06369-7
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 9.52
Funders
- National Natural Science Foundation of China
- Fundo para o Desenvolvimento das Ciências e da Tecnologia