myNEO, Ghent, Belgium.
myNEO, Ghent, Belgium.
Methods Cell Biol. 2024;183:161-186. doi: 10.1016/bs.mcb.2023.05.002. Epub 2023 Sep 11.
Next to conventional cancer therapies, immunotherapies such as immune checkpoint inhibitors have broadened the cancer treatment landscape over the past decades. Recent advances in next generation sequencing and bioinformatics technologies have made it possible to identify a patient's own immunogenic neoantigens. These cancer neoantigens serve as important targets for personalized immunotherapy which has the benefit of being more active and effective in targeting cancer cells. This paper is a step-by-step guide discussing the different analyses and challenges encountered during in-silico neoantigen prediction. The protocol describes all the tools and steps required for the identification of immunogenic neoantigens.
除了传统的癌症疗法外，免疫疗法，如免疫检查点抑制剂，在过去几十年中拓宽了癌症治疗领域。新一代测序和生物信息学技术的最新进展使得识别患者自身的免疫原性新抗原成为可能。这些癌症新抗原是个性化免疫治疗的重要靶点，这种治疗方法在针对癌细胞方面更具活性和有效性。本文是一个逐步指南，讨论了在计算机预测新抗原过程中遇到的不同分析和挑战。该方案描述了鉴定免疫原性新抗原所需的所有工具和步骤。
