Systematic discovery of neoepitope–HLA pairs for neoantigens shared among patients and tumor types

IF 33.1 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Nature biotechnology Pub Date : 2023-10-19 DOI:10.1038/s41587-023-01945-y
Hem R. Gurung, Amy J. Heidersbach, Martine Darwish, Pamela Pui Fung Chan, Jenny Li, Maureen Beresini, Oliver A. Zill, Andrew Wallace, Ann-Jay Tong, Dan Hascall, Eric Torres, Andy Chang, Kenny ‘Hei-Wai’ Lou, Yassan Abdolazimi, Christian Hammer, Ana Xavier-Magalhães, Ana Marcu, Samir Vaidya, Daniel D. Le, Ilseyar Akhmetzyanova, Soyoung A. Oh, Amanda J. Moore, Uzodinma N. Uche, Melanie B. Laur, Richard J. Notturno, Peter J. R. Ebert, Craig Blanchette, Benjamin Haley, Christopher M. Rose
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Abstract

The broad application of precision cancer immunotherapies is limited by the number of validated neoepitopes that are common among patients or tumor types. To expand the known repertoire of shared neoantigen–human leukocyte antigen (HLA) complexes, we developed a high-throughput platform that coupled an in vitro peptide–HLA binding assay with engineered cellular models expressing individual HLA alleles in combination with a concatenated transgene harboring 47 common cancer neoantigens. From more than 24,000 possible neoepitope–HLA combinations, biochemical and computational assessment yielded 844 unique candidates, of which 86 were verified after immunoprecipitation mass spectrometry analyses of engineered, monoallelic cell lines. To evaluate the potential for immunogenicity, we identified T cell receptors that recognized select neoepitope–HLA pairs and elicited a response after introduction into human T cells. These cellular systems and our data on therapeutically relevant neoepitopes in their HLA contexts will aid researchers studying antigen processing as well as neoepitope targeting therapies. A large resource of shared tumor neoepitopes aims to accelerate cancer immunotherapy.

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系统发现患者和肿瘤类型之间共享的新抗原的新表位HLA对。
精确癌症免疫疗法的广泛应用受到患者或肿瘤类型中常见的经验证的新表位数量的限制。为了扩大共享的新抗原-人类白细胞抗原(HLA)复合物的已知库,我们开发了一种高通量平台,该平台将体外肽-HLA结合测定与表达单个HLA等位基因的工程细胞模型以及携带47种常见癌症新抗原的串联转基因相结合。从24000多种可能的新表位HLA组合中,生化和计算评估产生了844种独特的候选者,其中86种是在对工程化的单等位细胞系进行免疫沉淀质谱分析后验证的。为了评估免疫原性的潜力,我们鉴定了识别选定的新表位HLA对的T细胞受体,并在引入人类T细胞后引发反应。这些细胞系统和我们在其HLA环境中关于治疗相关新表位的数据将有助于研究抗原处理和新表位靶向疗法的研究人员。
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来源期刊
Nature biotechnology
Nature biotechnology 工程技术-生物工程与应用微生物
CiteScore
63.00
自引率
1.70%
发文量
382
审稿时长
3 months
期刊介绍: Nature Biotechnology is a monthly journal that focuses on the science and business of biotechnology. It covers a wide range of topics including technology/methodology advancements in the biological, biomedical, agricultural, and environmental sciences. The journal also explores the commercial, political, ethical, legal, and societal aspects of this research. The journal serves researchers by providing peer-reviewed research papers in the field of biotechnology. It also serves the business community by delivering news about research developments. This approach ensures that both the scientific and business communities are well-informed and able to stay up-to-date on the latest advancements and opportunities in the field. Some key areas of interest in which the journal actively seeks research papers include molecular engineering of nucleic acids and proteins, molecular therapy, large-scale biology, computational biology, regenerative medicine, imaging technology, analytical biotechnology, applied immunology, food and agricultural biotechnology, and environmental biotechnology. In summary, Nature Biotechnology is a comprehensive journal that covers both the scientific and business aspects of biotechnology. It strives to provide researchers with valuable research papers and news while also delivering important scientific advancements to the business community.
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