Tumuluru Sravya, Godfrey James K, Cooper Alan, Yu Jovian, Chen Xiufen, MacNabb Brendan W, Venkataraman Girish, Zha Yuanyuan, Pelzer Benedikt, Song Joo, Duns Gerben, Sworder Brian J, Bolen Christopher, Penuel Elicia, Postovalova Ekaterina, Kotlov Nikita, Bagaev Aleksander, Fowler Nathan, Smith Sonali M, Alizadeh Ash A, Steidl Christian, Kline Justin
bioRxiv. 2024 Apr 5:2024.01.17.576100. doi: 10.1101/2024.01.17.576100.
Most diffuse large B-cell lymphoma (DLBCL) patients treated with bispecific antibodies (BsAb) or chimeric antigen receptor (CAR) T cells fail to achieve durable treatment responses, underscoring the need for a deeper understanding of mechanisms that regulate the immune environment and response to treatment. Here, an integrative, multi-omic approach was employed to characterize DLBCL immune environments, which effectively segregated DLBCLs into four quadrants - termed DLBCL-immune quadrants (IQ) - defined by cell-of-origin and immune-related gene set expression scores. Recurrent genomic alterations were enriched in each IQ, suggesting that lymphoma cell-intrinsic alterations contribute to orchestrating unique DLBCL immune environments. In relapsed/refractory DLBCL patients, DLBCL-IQ assignment correlated significantly with clinical benefit with the CD20 x CD3 BsAb, mosunetuzumab, but not with CD19-directed CAR T cells. DLBCL-IQ provides a new framework to conceptualize the DLBCL immune landscape and uncovers the differential impact of the endogenous immune environment on outcomes to BsAb and CAR T cell treatment.
大多数接受双特异性抗体(BsAb)或嵌合抗原受体(CAR)T细胞治疗的弥漫性大B细胞淋巴瘤(DLBCL)患者未能实现持久的治疗反应,这突出表明需要更深入地了解调节免疫环境和治疗反应的机制。在此,采用了一种综合的多组学方法来表征DLBCL免疫环境,该方法有效地将DLBCL分为四个象限——称为DLBCL免疫象限(IQ)——由起源细胞和免疫相关基因集表达分数定义。每个IQ中均富集了复发性基因组改变,这表明淋巴瘤细胞内在改变有助于构建独特的DLBCL免疫环境。在复发/难治性DLBCL患者中,DLBCL-IQ分类与使用CD20×CD3双特异性抗体莫苏奈妥珠单抗的临床获益显著相关,但与靶向CD19的CAR T细胞治疗无关。DLBCL-IQ为概念化DLBCL免疫格局提供了一个新框架,并揭示了内源性免疫环境对BsAb和CAR T细胞治疗结果的不同影响。