Prognosis and immunotherapy in melanoma based on selenoprotein k-related signature
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View abstract on PubMed
Summary
This summary is machine-generated.High SELENOK levels in melanoma correlate with increased immune cell infiltration and improved patient prognosis. A novel risk model based on SELENOK signature genes aids in predicting melanoma outcomes and guiding therapeutic strategies.
Area Of Science
- Oncology
- Molecular Biology
- Immunology
Background
- Selenium and selenoproteins play a role in melanoma progression.
- The specific impact of SELENOK on melanoma's lipid metabolism, endoplasmic reticulum stress (ERS), and immune microenvironment remains largely unexplored.
Purpose Of The Study
- To investigate the role of SELENOK in melanoma.
- To analyze SELENOK's association with prognosis, immune cell infiltration, lipid metabolism, and ERS.
- To develop and validate a prognostic risk model for melanoma patients based on SELENOK signature genes.
Main Methods
- Analysis of transcriptome data from melanoma patients.
- Investigation of SELENOK expression and its correlation with clinical outcomes.
- Construction and evaluation of a risk model incorporating ERS, lipid metabolism, and immune-related genes.
- Drug sensitivity analysis for different risk groups.
Main Results
- Higher SELENOK expression in melanoma is linked to increased immune cell infiltration and a better prognosis.
- SELENOK influences ERS, lipid metabolism, and immune cell infiltration in melanoma.
- The SELENOK-based risk model accurately predicts melanoma prognosis.
- Low-risk patients show a favorable immune microenvironment and respond to standard chemotherapy, while high-risk patients may benefit from RAS pathway inhibitors.
Conclusions
- SELENOK is a key regulator of ERS, lipid metabolism, and immune infiltration in melanoma.
- SELENOK expression is positively associated with melanoma prognosis.
- The developed risk model is valuable for predicting melanoma prognosis and informing personalized therapeutic decisions.
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