质量细胞仪
免疫疗法
流式细胞术
癌症研究
多发性骨髓瘤
抗原
恶性肿瘤
体内
免疫系统
计算生物学
医学
生物
免疫学
基因
病理
生物化学
生物技术
表型
作者
Francesco Di Meo,Anjushree Iyer,Keith Akama,Rujin Cheng,Christina Y. Yu,Annamaria Cesarano,Noriyoshi Kurihara,Hirofumi Tenshin,Arafat Aljoufi,Silvia Marino,Rajesh K. Soni,Julie M. Roda,James Sissons,Ly Vu,Mónica L. Guzmán,Kun Huang,Tamara Laskowski,Hal E. Broxmeyer,David Roodman,Fabiana Perna
标识
DOI:10.1016/j.xcrm.2023.101110
摘要
Multiple myeloma (MM) is an incurable malignancy of plasma cells. To identify targets for MM immunotherapy, we develop an integrated pipeline based on mass spectrometry analysis of seven MM cell lines and RNA sequencing (RNA-seq) from 900+ patients. Starting from 4,000+ candidates, we identify the most highly expressed cell surface proteins. We annotate candidate protein expression in many healthy tissues and validate the expression of promising targets in 30+ patient samples with relapsed/refractory MM, as well as in primary healthy hematopoietic stem cells and T cells by flow cytometry. Six candidates (ILT3, SEMA4A, CCR1, LRRC8D, FCRL3, IL12RB1) and B cell maturation antigen (BCMA) present the most favorable profile in malignant and healthy cells. We develop a bispecific T cell engager targeting ILT3 that shows potent killing effects in vitro and decreased tumor burden and prolonged mice survival in vivo, suggesting therapeutic relevance. Our study uncovers MM-associated antigens that hold great promise for immune-based therapies of MM.
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