Computational identification of FOXP3-associated spatial prognostic markers in HCC via digital pathology
We validated six prognostic spatial markers in HCC and elucidated the dual role of FOXP3 within tumor and stromal compartments, demonstrating the potential of this approach as a practical tool for personalized clinical decision-making in HCC. This study pioneers the computational identification of spatially differential genes at spot-level resolution, offering a cost-effective and scalable approach for spatial biomarker discovery.
Authors
- Fan Zhong (ORCID: https://orcid.org/0000-0002-5305-8578)
- Lei Liu (ORCID: https://orcid.org/0000-0002-9995-9080)
- Yixin Li (ORCID: https://orcid.org/0009-0002-9290-5300)
Institutions
- Fudan University (CN)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1016/j.cmpb.2025.109119
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00