Galectin-1 drives lymphoma CD20 immunotherapy resistance: validation of a preclinical system to identify resistance mechanisms

半乳糖凝集素-1 驱动淋巴瘤 CD20 免疫疗法耐药性:验证临床前系统以识别耐药机制

阅读:10
作者:Jacquelyn M Lykken, Mayuka Horikawa, Veronique Minard-Colin, Masahiro Kamata, Tomomitsu Miyagaki, Jonathan C Poe, Thomas F Tedder

Abstract

Non-Hodgkin lymphoma (NHL) is the most commonly diagnosed hematologic cancer of adults in the United States, with the vast majority of NHLs deriving from malignant B lymphocytes that express cell surface CD20. CD20 immunotherapy (rituximab) is widely used to treat NHL, even though the initial effectiveness of rituximab varies widely among patients and typically wanes over time. The mechanisms through which lymphomas initially resist or gain resistance to immunotherapy are not well established. To address this, a preclinical mouse model system was developed to comprehensively identify lymphoma transcriptomic changes that confer resistance to CD20 immunotherapy. The generation of spontaneous primary and familial lymphomas revealed that sensitivity to CD20 immunotherapy was not regulated by differences in CD20 expression, prior exposure to CD20 immunotherapy, or serial in vivo passage. An unbiased forward exome screen of these primary lymphomas was used to validate the utility of this expansive lymphoma cohort, which revealed that increased lymphoma galectin-1 (Gal-1) expression strongly correlated with resistance to immunotherapy. Genetically induced lymphoma Gal-1 expression ablated antibody-dependent lymphoma phagocytosis in vitro and lymphoma sensitivity to CD20 immunotherapy in vivo. Human NHLs also express elevated Gal-1 compared with nonmalignant lymphocytes, demonstrating the ability of this preclinical model system to identify molecular targets that could be relevant to human therapy. This study therefore established a powerful preclinical model system that permits the comprehensive identification of the dynamic lymphoma molecular network that drives resistance to immunotherapy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。