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Construction and validation of an immunoediting-based optimized neoantigen load (ioTNL) model to predict the response and prognosis of immune checkpoint therapy in various cancers
Background: Only a minority of patients clinically benefit from immune checkpoint therapy. Tumor clones with neoantigens have immunogenicity; therefore, they are eliminated by T-cell-mediated immune editing. Identifying neoantigen clones with the ability to induce immune elimination may better predi...
Autores principales: | Su, Xiaofan, Jin, Haoxuan, Wang, Jiaqian, Lu, Huiping, Gu, Tiantian, Gao, Zhibo, Li, Manxiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186755/ https://www.ncbi.nlm.nih.gov/pubmed/35613927 http://dx.doi.org/10.18632/aging.204101 |
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