Garrett Matthew C, Carnwath Troy, Albano Rebecca, Zhuang Yonghua, Behrmann Catherine A, Pemberton Merissa, Barakat Farah, Lober Robert, Hoeprich Mark, Paravati Anthony, Reed Marilyn, Spry Hailey, Woo Daniel, O'Brien Eric, VanCauwenbergh Brett, Perentesis John, Nasser Rani, Medvedovic Mario, Plas David R
Department of Neurosurgery, Kettering Health Network, Kettering, Ohio, United States of America.
University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.
PLoS One. 2025 May 16;20(5):e0306846. doi: 10.1371/journal.pone.0306846. eCollection 2025.
Glioblastomas utilize malignant gene expression pathways to drive growth. Many of these gene pathways are not directly accessible with molecularly targeted pharmacological agents. Chromatin-modifying compounds can alter gene expression and target glioblastoma growth pathways. In this study, we utilize a systematic screen of chromatin-modifying compounds on a panel of patient-derived glioblastoma lines to identify promising compounds and their associated gene targets.
Five glioblastoma cell lines were subjected to a drug screen of 106 chromatin-modifying compounds representing 36 unique drug classes to determine the twelve most promising drug classes and the best candidate inhibitors in each class. These twelve drugs were then tested with a panel of twelve patient-derived gliomasphere lines to identify growth inhibition and corresponding gene expression patterns. Overlap analysis and weighted co-expression network analysis (WCGNA) were utilized to determine potential target genes and gene pathways.
The initial drug screen identified twelve candidate pharmacologic agents for further testing. Drug sensitivity testing indicated an overall high degree of variability between gliomasphere lines. However, CPI203 was the most consistently effective compound, and the BET inhibitor class was the most consistently effective class of compounds across the gliomasphere panel. Correspondingly, most of the compounds tested had highly variable effects on gene expression between gliomasphere lines. CPI203 stood out as the only compound to induce a consistent effect on gene expression across different gliomasphere lines, specifically down-regulation of DNA-synthesis genes. Amongst the twelve tested cell lines, high expression of CDKN2A and CDKN2B distinguished more drug sensitive from more drug resistant lines. WCGNA identified two oncogenic gene modules (FBXO5 and MELK) that were effectively downregulated by CPI203 (FBXO5) and ML228 (FBXO5 and MELK).
The bromodomain inhibitor CPI203 induced relatively consistent effects on gene expression and growth across a variety of glioblastoma lines, specifically down-regulating genes associated with DNA replication. We propose that clinically effective BET inhibitors have the potential to induce consistent beneficial effects across a spectrum of glioblastomas.
胶质母细胞瘤利用恶性基因表达途径来驱动生长。这些基因途径中的许多无法通过分子靶向药物直接作用。染色质修饰化合物可以改变基因表达并靶向胶质母细胞瘤的生长途径。在本研究中,我们对一组患者来源的胶质母细胞瘤细胞系进行了染色质修饰化合物的系统筛选,以确定有前景的化合物及其相关基因靶点。
对五种胶质母细胞瘤细胞系进行了针对106种代表36种独特药物类别的染色质修饰化合物的药物筛选,以确定十二种最有前景的药物类别以及每类中的最佳候选抑制剂。然后,用一组十二种患者来源的胶质瘤球细胞系对这十二种药物进行测试,以确定生长抑制情况和相应的基因表达模式。利用重叠分析和加权共表达网络分析(WCGNA)来确定潜在的靶基因和基因途径。
初步药物筛选确定了十二种候选药物进行进一步测试。药物敏感性测试表明胶质瘤球细胞系之间总体存在高度变异性。然而,CPI203是最一致有效的化合物,并且BET抑制剂类别是整个胶质瘤球细胞系组中最一致有效的化合物类别。相应地,大多数测试化合物对胶质瘤球细胞系之间的基因表达具有高度可变的影响。CPI203是唯一一种在不同胶质瘤球细胞系中对基因表达产生一致影响的化合物,特别是对DNA合成基因的下调。在十二个测试细胞系中,CDKN2A和CDKN2B的高表达区分了对药物更敏感和更耐药的细胞系。WCGNA确定了两个致癌基因模块(FBXO5和MELK),它们被CPI203(FBXO5)和ML228(FBXO5和MELK)有效下调。
溴结构域抑制剂CPI203在多种胶质母细胞瘤细胞系中对基因表达和生长诱导了相对一致的影响,特别是下调了与DNA复制相关的基因。我们提出临床上有效的BET抑制剂有可能在一系列胶质母细胞瘤中诱导一致的有益效果。