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...

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Detalles Bibliográficos
Autores principales: Su, Xiaofan, Jin, Haoxuan, Wang, Jiaqian, Lu, Huiping, Gu, Tiantian, Gao, Zhibo, Li, Manxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2022
Materias:
Research Paper
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

Internet

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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