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.

中文翻译：

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数量上的优势：确定用于癌症免疫治疗的新抗原靶标

靶向由肿瘤排他的体细胞突变产生的癌症新抗原是一种有吸引力的但具有挑战性的策略，用于通过细胞免疫疗法强有力，特异性地消除肿瘤细胞。在Cell一期中，Wells等人。描述了一种基于联盟的方法来优化生物信息学流程，以根据下一代测序数据灵敏而准确地预测免疫原性新抗原。