Leveraging diverse liquid–liquid phase separation patterns to predict the prognosis and immunotherapy of pediatric acute myeloid leukemia
In summary, we developed a robust and effective risk model for predicting prognosis, tumor microenvironment characteristics, and responses to immunotherapy and targeted therapies in P-AML. This model offers valuable insights for advancing personalized and precision medicine approaches in P-AML treatment strategies.
Authors
- Zhijuan Kang
- Yezhen Yang
- Ying Li (ORCID: https://orcid.org/0000-0001-9579-4920)
- Huan Chang (ORCID: https://orcid.org/0009-0000-1362-0557)
- Qin Zhao (ORCID: https://orcid.org/0000-0002-7763-4461)
- Zuocheng Yang (ORCID: https://orcid.org/0000-0003-0088-7564)
- Zhixiang Wu (ORCID: https://orcid.org/0000-0002-3526-7966)
- Min Kong
Institutions
- Central South University (CN)
- Third Xiangya Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1186/s12885-025-14718-4
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hunan Province