Division of Preclinical Innovation, National Center for Advancing Translational Sciences, NIH, Rockville, MD 20850.
Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892.
Proc Natl Acad Sci U S A. 2024 Dec 3;121(49):e2413372121. doi: 10.1073/pnas.2413372121. Epub 2024 Nov 25.
Clinical trials in cancer are ideally built on a foundation of sound mechanistic rationale and well-validated drug activity in relevant disease models. The screening of approved and investigational drugs in cell-based phenotypic assays can provide evidence of drug activity, but alternative screening paradigms are needed to develop and optimize multidrug combination regimens. Here, we utilize in vitro screening outcomes across a panel of lymphoma cell lines to dissect the activity of four small-molecule drugs (Venetoclax, Ibrutinib, Prednisolone, and Lenalidomide) currently under investigation within ongoing clinical trials in lymphoma. Data from multiple concentration ranges and time points show that synergistic drug combinations promote apoptosis and cytotoxicity responses at concentrations and time points that are consistent with in vivo drug exposures. To fully map the interaction landscape of these agents in relevant cell models, we developed an in vitro assay format that facilitated time-course evaluations involving concurrent multidrug exposure which further highlighted rapid, synergistic apoptosis induction as a central engine for the activity of this multicomponent targeted therapy. In addition to several instances of exceptional drug+drug synergy, the genetically similar diffuse large B cell lymphoma models also displayed substantial heterogeneity in the degree of synergism between drug pairs. A parallel survey of chemotherapies exhibited limited combination benefit, supporting recent findings that multicomponent chemotherapy outcomes are driven by individual drug activity. Collectively, these data demonstrate how in vitro drug screening data can identify multidrug combinations that exploit drug synergy to overcome the functional diversity of human malignancies.
癌症临床试验的理想基础是基于合理的机制原理和在相关疾病模型中经过充分验证的药物活性。在基于细胞的表型测定中筛选已批准和正在研究的药物可以提供药物活性的证据,但需要替代筛选范式来开发和优化多药物联合治疗方案。在这里,我们利用淋巴瘤细胞系panel 中的体外筛选结果来剖析目前正在淋巴瘤临床试验中研究的四种小分子药物(Venetoclax、Ibrutinib、Prednisolone 和 Lenalidomide)的活性。来自多个浓度范围和时间点的数据表明,协同药物组合在与体内药物暴露一致的浓度和时间点促进细胞凋亡和细胞毒性反应。为了在相关细胞模型中充分描绘这些药物的相互作用图谱,我们开发了一种体外测定格式,该格式便于涉及同时多药物暴露的时间过程评估,这进一步突出了快速、协同的细胞凋亡诱导作为这种多成分靶向治疗活性的核心引擎。除了几个异常药物+药物协同作用的实例外,遗传上相似的弥漫性大 B 细胞淋巴瘤模型在药物对之间的协同作用程度上也表现出很大的异质性。对化疗药物的平行调查显示联合治疗的益处有限,这支持了最近的发现,即多成分化疗结果是由单个药物活性驱动的。总的来说,这些数据表明,体外药物筛选数据如何能够识别利用药物协同作用来克服人类恶性肿瘤功能多样性的多药物组合。