A diagnostic model based on transcriptomic analysis reveals inflammation as a potential prognosis factor for hepatoblastoma with hepatocellular carcinoma features
HBHF represents a distinct transitional entity between HB and HCC, exhibiting markedly worse clinical outcomes than HB. Our transcriptome-based computational model effectively discriminates HBHF and predicts its prognostic risk. Importantly, inflammatory activation emerges as a critical driver of tumor aggressiveness in this subtype.
Authors
- Chenjie Xie
- Lei Zhang (ORCID: https://orcid.org/0000-0002-0580-0889)
- Song Gu (ORCID: https://orcid.org/0000-0002-6568-1623)
- Hongxiang Gao (ORCID: https://orcid.org/0000-0002-4566-2214)
- Ji Ma (ORCID: https://orcid.org/0000-0003-2223-6535)
- Min Xu (ORCID: https://orcid.org/0000-0001-9556-1596)
- Jiquan Zhou
- Zhen Zhang (ORCID: https://orcid.org/0000-0002-7873-5272)
- Min Zhang (ORCID: https://orcid.org/0000-0001-5280-2062)
- Liyuan Yang
- Yuhua Shan
- Qiuhui Pan
Institutions
- Shanghai Children's Medical Center (CN)
- Shanghai Children's Hospital (CN)
Publication Details
- Journal
- Cellular Oncology
- Published
- 2025-07-14
- DOI
- https://doi.org/10.1007/s13402-025-01077-2
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai Anti-Cancer Association
- National Natural Science Foundation of China
- Shanghai Jiao Tong University
- National Clinical Key Specialty Project Foundation