Jacquier Valentin, Romero Andréa, Molinaro Caroline, Somayaji Ritu, Abouladze Matthieu, Gadacha Ouissem Karmous, Ovejero Sara, de Boussac Hugues, Gabellier Ludovic, Davids Matthew S, Moreaux Jérôme, Herbaux Charles
Institute of Human Genetics, UMR CNRS-Univ. Montpellier, 9002 Montpellier, France.
Department of Clinical Hematology, CHU Montpellier, Montpellier, France.
Theranostics. 2025 Apr 21;15(12):5705-5718. doi: 10.7150/thno.107852. eCollection 2025.
In the era of precision medicine, there is a growing need for rapid reliable functional assays capable of predicting treatment efficacy. One drug class that may particularly benefit from such assays is BH3 mimetics. These small molecules antagonize anti-apoptotic proteins such as BCL-2, MCL-1, or BCL-XL, on which cancer cells depend for their survival. A functional assay known as BH3 profiling was previously developed to measure those dependencies through the use of specific BH3-only peptides. A variation of this technique, dynamic BH3 profiling (DBP), allows for measuring changes in those dependencies, after treatment with a drug of interest. Though well-validated to predict clinical response in hematologic malignancies, BH3 profiling technique requires the use of specialized BH3-only peptides and requires significant optimization to achieve reproducible results. We used a toolkit of BH3 mimetics drugs as probes instead of BH3-only peptides. This technique reduces the complexity and cost by using Annexin V/7AAD staining instead of cytochrome c release as a functional readout for apoptosis. We also used cell lines as internal controls for a representative response to BH3 mimetics that allow us to easily compare and stratify patients according to their profile. We demonstrate that our new protocol enables apoptotic dependencies to be measured efficiently across different hematologic malignancies. In addition to a detailed description of the assay, we describe the results in several models including cell lines and primary tumor cells, both at baseline and dynamically after drug treatments. We also compared BH3 toolkit baseline results on cell lines with those obtained using conventional BH3 profiling. Overall, our data validates this streamlined BH3 drug toolkit, allowing for a more extensive use of the BH3 profiling technique.
在精准医学时代,对能够预测治疗效果的快速可靠功能检测的需求日益增长。一类可能特别受益于此类检测的药物是BH3模拟物。这些小分子拮抗抗凋亡蛋白,如BCL-2、MCL-1或BCL-XL,癌细胞的存活依赖于这些蛋白。一种称为BH3分析的功能检测先前已被开发出来,通过使用特定的仅含BH3结构域的肽来测量这些依赖性。这种技术的一种变体,动态BH3分析(DBP),允许在使用感兴趣的药物治疗后测量这些依赖性的变化。尽管BH3分析技术在预测血液系统恶性肿瘤的临床反应方面得到了充分验证,但它需要使用专门的仅含BH3结构域的肽,并且需要进行大量优化才能获得可重复的结果。我们使用一组BH3模拟物药物作为探针,而不是仅含BH3结构域的肽。该技术通过使用膜联蛋白V/7-氨基放线菌素D染色代替细胞色素c释放作为细胞凋亡的功能读数,降低了复杂性和成本。我们还使用细胞系作为对BH3模拟物代表性反应的内部对照,这使我们能够根据患者的特征轻松地进行比较和分层。我们证明,我们的新方案能够在不同的血液系统恶性肿瘤中有效地测量细胞凋亡依赖性。除了对该检测的详细描述外,我们还描述了在几种模型中的结果,包括细胞系和原发性肿瘤细胞,包括基线和药物治疗后的动态结果。我们还将细胞系上的BH3工具包基线结果与使用传统BH3分析获得的结果进行了比较。总体而言,我们的数据验证了这种简化的BH3药物工具包,使得BH3分析技术能够得到更广泛的应用。