Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia
The PCD index and SMAD3 gene expression levels have potential prognostic value and can be used in targeted therapy for AML, and these findings can lead to the development of effective strategies for the combined treatment of high-risk AML patients.
Authors
- Jiahui Du (ORCID: https://orcid.org/0000-0003-3238-0469)
- Songbai Liu (ORCID: https://orcid.org/0000-0002-3920-1032)
- Xiebing Bao (ORCID: https://orcid.org/0000-0003-1628-5699)
- Yijie Wu (ORCID: https://orcid.org/0000-0002-7128-4595)
- Jie Chang (ORCID: https://orcid.org/0000-0003-1814-8508)
- Minfeng Yang (ORCID: https://orcid.org/0000-0001-8277-8139)
- Yao Chen (ORCID: https://orcid.org/0000-0001-7231-9860)
- Min Li (ORCID: https://orcid.org/0000-0002-7113-2700)
- Chen Yang (ORCID: https://orcid.org/0000-0002-9043-144X)
- Sha Yu (ORCID: https://orcid.org/0009-0005-3994-4396)
- Suning Chen
Institutions
- North China University of Science and Technology (CN)
- Hong Kong Polytechnic University (HK)
- Nantong University (CN)
- Soochow University (CN)
- Suzhou Vocational Health College (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1186/s12885-025-13658-3
- Citations
- 4
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 7.08
Funders
- National Key Research and Development Program of China