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Strength in Numbers: Identifying Neoantigen Targets for Cancer Immunotherapy
Author(s) -
Rigel J. Kishton,
Rachel C. Lynn,
Nicholas P. Restifo
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2020.10.011
Subject(s) - biology , immunotherapy , cancer immunotherapy , cancer research , antigen , somatic cell , cancer , adoptive cell transfer , t cell , chimeric antigen receptor , immune system , computational biology , immunology , gene , genetics
Targeting cancer neoantigens generated by tumor-exclusive somatic mutations is an attractive yet challenging strategy for the robust and specific elimination of tumor cells by cellular immunotherapy. In this issue of Cell, Wells et al. describe a consortium-based approach to optimize bioinformatics pipelines to sensitively and accurately predict immunogenic neoantigens from next-generation sequencing data.

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