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.

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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
Controls
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article

Molecular and immune landscape of melanoma: a risk stratification model for precision oncology

Junliang Wu, Miao Sun
2 citations
Discover Oncology
Cancer Immunotherapy and Biomarkers
2.09
article

Molecular and immune landscape of melanoma: a risk stratification model for precision oncology

Junliang Wu, Miao Sun
article en
2 citations

Abstract

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.

Discover OncologyVol. 16(1)
Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 13%
Cancer Immunotherapy and Biomarkers
2.09
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