Systems biology-enabled targeting of NF-κΒ and BCL2 overcomes microenvironment-mediated BH3-mimetic resistance in DLBCL.

Aimilia Vareli, Haripriya Vaidehi Narayanan, Heather Clark, Eleanor Jayawant, Hui Zhou, Yi Liu, Lauren Stott, Fabio Simoes, Alexander Hoffmann, Andrea Pepper, Chris Pepper, Simon Mitchell
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Abstract

In Diffuse Large B-cell Lymphoma (DLBCL), elevated anti-apoptotic BCL2-family proteins (e.g., MCL1, BCL2, BCLXL) and NF-κB subunits (RelA, RelB, cRel) confer poor prognosis. Heterogeneous expression, regulatory complexity, and redundancy offsetting the inhibition of individual proteins, complicate the assignment of targeted therapy. We combined flow cytometry "fingerprinting", immunofluorescence imaging, and computational modeling to identify therapeutic vulnerabilities in DLBCL. The combined workflow predicted selective responses to BCL2 inhibition (venetoclax) and non-canonical NF-κB inhibition (Amgen16). Within the U2932 cell line we identified distinct resistance mechanisms to BCL2 inhibition in cellular sub-populations recapitulating intratumoral heterogeneity. Co-cultures with CD40L-expressing stromal cells, mimicking the tumor microenvironment (TME), induced resistance to BCL2 and BCLXL targeting BH3-mimetics via cell-type specific upregulation of BCLXL or MCL1. Computational models, validated experimentally, showed that basal NF-κB activation determined whether CD40 activation drove BH3-mimetic resistance through upregulation of RelB and BCLXL, or cRel and MCL1. High basal NF-κB activity could be overcome by inhibiting BTK to resensitize cells to BH3-mimetics in CD40L co-culture. Importantly, non-canonical NF-κB inhibition overcame heterogeneous compensatory BCL2 upregulation, restoring sensitivity to both BCL2- and BCLXL-targeting BH3-mimetics. Combined molecular fingerprinting and computational modelling provides a strategy for the precision use of BH3-mimetics and NF-κB inhibitors in DLBCL.

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系统生物学驱动的NF-κB和BCL2靶向克服了微环境介导的DLBCL的BH3-模拟抗性。
在弥漫大 B 细胞淋巴瘤(DLBCL)中,抗凋亡 BCL2 家族蛋白(如 MCL1、BCL2、BCLXL)和 NF-κB 亚基(RelA、RelB、cRel)的升高会导致预后不良。异质性表达、调控复杂性和冗余性抵消了对单个蛋白的抑制作用,使靶向治疗的分配变得复杂。我们将流式细胞仪 "指纹 "分析、免疫荧光成像和计算建模相结合,确定了DLBCL的治疗弱点。联合工作流程预测了对BCL2抑制(venetoclax)和非典型NF-κB抑制(Amgen16)的选择性反应。在 U2932 细胞系中,我们发现了细胞亚群对 BCL2 抑制的不同抗性机制,再现了瘤内异质性。与表达CD40L的基质细胞(模拟肿瘤微环境(TME))共培养,通过细胞类型特异性的BCLXL或MCL1上调,诱导对BCL2和BCLXL靶向BH3-模拟物的抗性。经实验验证的计算模型显示,基础 NF-κB 激活决定了 CD40 激活是通过上调 RelB 和 BCLXL 还是 cRel 和 MCL1 来驱动 BH3-模拟物抗性。通过抑制BTK,可以克服高基础NF-κB活性,使细胞在CD40L共培养中对BH3-模拟物重新敏感。重要的是,非经典NF-κB抑制克服了异质性代偿性BCL2上调,恢复了对BCL2和BCLXL靶向BH3-模拟物的敏感性。分子指纹图谱和计算建模相结合,为在DLBCL中精确使用BH3-模拟物和NF-κB抑制剂提供了一种策略:多学科分析揭示了高NF-κB活性如何导致串扰,以及BTK抑制如何抵消BH3-模拟物的耐药性。
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