Identification of MAD2L1 as a novel biomarker for hepatoblastoma through bioinformatics and machine learning approaches
Our study identifies MAD2L1 as a novel potential biomarker for HB, providing new strategies for early diagnosis and targeted therapy in HB.
Authors
- Yuhe Duan
- Xiwei Hao (ORCID: https://orcid.org/0000-0003-0051-3108)
- Xin Chen (ORCID: https://orcid.org/0000-0002-5208-2154)
- Qinglong Ying
- Chaojin Wang
- Bin Hu (ORCID: https://orcid.org/0000-0003-3514-5413)
- Qian Dong (ORCID: https://orcid.org/0000-0002-2766-2974)
- Nan Xia (ORCID: https://orcid.org/0000-0003-2877-5070)
- Ying He (ORCID: https://orcid.org/0000-0002-2878-8325)
- Huan-Yu Zhang (ORCID: https://orcid.org/0000-0002-9964-7124)
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-31
- DOI
- https://doi.org/10.3389/fonc.2025.1524714
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52