Molecular and immune landscape of melanoma: a risk stratification model for precision oncology
This study provides a robust immune-related prognostic model for melanoma. It underscores the value of immune gene expression and T cell infiltration, particularly CD8+ T cells, in predicting patient outcomes. The model facilitates personalized treatment decisions and advances precision oncology approaches in melanoma. The integration of transcriptomic analysis with experimental validation confirms the tumor-promoting role of KIR2DL4 and enhances the translational value of the model in guiding precision immunotherapy.
Authors
- Junliang Wu (ORCID: https://orcid.org/0000-0001-9180-6488)
- Miao Sun (ORCID: https://orcid.org/0000-0003-3012-9318)
Institutions
- Sichuan University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-05-04
- DOI
- https://doi.org/10.1007/s12672-025-02497-0
- Citations
- 2
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 2.09