Machine Learning-Based Sialylation-Associated Gene Signature Predicts Prognosis and Immune Landscape in Hepatocellular Carcinoma: Validation via Multi-Omics Analysis and in vitro Assays
The sialylation score could serve as a dependable method for anticipating immune response, thereby improving clinical results in patients with HCC.
Authors
- Baoming Luo
- Yuening Wang
- Wenyue Zhang
- Zijie Zheng
- Guoqing Du
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/jhc.s575986
- Primary Topic
- Glycosylation and Glycoproteins Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00