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- W3083483552 abstract "Melanoma refers to a pigmented nevus with malignant changes. The preferred treatment for primary melanoma is surgical excision and postoperative radiotherapy, but the prognosis is poor. Immune checkpoint inhibitors (ICIs) have been remarkably successful in different types of cancers, but not all cancer patients can benefit from it. Therefore, it is essential to find predictable biomarkers and improve the accuracy of treatment. In this study, we used survival analysis, gene panorama analysis, immune cell enrichment analysis, TMB analysis, and GSEA to demonstrate that SCN4A gene mutations may be used as one of the indicators to predict the prognosis of melanoma patients undergoing ICI treatment. The research further indicates that SCN4A gene mutations improve the prognosis of ICI treatment. It is hoped that the effect of SCN4A on immunogenicity and tumor immunity can be demonstrated to further suggest the effect of this gene on the efficacy of ICIs." @default.
- W3083483552 created "2020-09-11" @default.
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- W3083483552 date "2020-11-01" @default.
- W3083483552 modified "2023-10-16" @default.
- W3083483552 title "Potential predictive value of SCN4A mutation status for immune checkpoint inhibitors in melanoma" @default.
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- W3083483552 doi "https://doi.org/10.1016/j.biopha.2020.110633" @default.
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