Inserm U981, Molecular Predictors and New Targets in Oncology, Team Genomics and Oncogenesis of Pediatric Brain Tumors, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
Inserm U1279, Gustave Roussy Institute, Université Paris-Saclay, Villejuif, France.
Neuro Oncol. 2024 Mar 4;26(3):553-568. doi: 10.1093/neuonc/noad161.
BACKGROUND: Diffuse midline gliomas (DMG) are pediatric tumors with negligible 2-year survival after diagnosis characterized by their ability to infiltrate the central nervous system. In the hope of controlling the local growth and slowing the disease, all patients receive radiotherapy. However, distant progression occurs frequently in DMG patients. Current clues as to what causes tumor infiltration circle mainly around the tumor microenvironment, but there are currently no known determinants to predict the degree of invasiveness. METHODS: In this study, we use patient-derived glioma stem cells (GSCs) to create patient-specific 3D avatars to model interindividual invasion and elucidate the cellular supporting mechanisms. RESULTS: We show that GSC models in 3D mirror the invasive behavior of the parental tumors, thus proving the ability of DMG to infiltrate as an autonomous characteristic of tumor cells. Furthermore, we distinguished 2 modes of migration, mesenchymal and ameboid-like, and associated the ameboid-like modality with GSCs derived from the most invasive tumors. Using transcriptomics of both organoids and primary tumors, we further characterized the invasive ameboid-like tumors as oligodendrocyte progenitor-like, with highly contractile cytoskeleton and reduced adhesion ability driven by crucial over-expression of bone morphogenetic pathway 7 (BMP7). Finally, we deciphered MEK, ERK, and Rho/ROCK kinases activated downstream of the BMP7 stimulation as actionable targets controlling tumor cell motility. CONCLUSIONS: Our findings identify 2 new therapeutic avenues. First, patient-derived GSCs represent a predictive tool for patient stratification in order to adapt irradiation strategies. Second, autocrine and short-range BMP7-related signaling becomes a druggable target to prevent DMG spread and metastasis.
背景:弥漫性中线胶质瘤(DMG)是一种儿科肿瘤,患者在确诊后两年的生存率极低,其特征是能够渗透中枢神经系统。为了控制局部生长和减缓疾病进展,所有患者都接受放射治疗。然而,DMG 患者经常出现远处进展。目前关于导致肿瘤浸润的线索主要集中在肿瘤微环境上,但目前还没有已知的决定因素来预测侵袭程度。
方法:在这项研究中,我们使用患者来源的神经胶质瘤干细胞(GSCs)创建患者特异性的 3D 虚拟人来模拟个体间的侵袭,并阐明细胞支持机制。
结果:我们表明,3D 中的 GSC 模型反映了亲本肿瘤的侵袭行为,从而证明了 DMG 作为肿瘤细胞的自主特征浸润的能力。此外,我们区分了两种迁移模式,间质样和阿米巴样,并将阿米巴样模式与源自侵袭性最强的肿瘤的 GSCs 相关联。通过对类器官和原发肿瘤的转录组学分析,我们进一步将侵袭性阿米巴样肿瘤特征化为少突胶质前体细胞样,具有高度收缩性的细胞骨架和降低的粘附能力,这是由骨形态发生蛋白途径 7(BMP7)的关键过表达驱动的。最后,我们解析了 BMP7 刺激下游激活的 MEK、ERK 和 Rho/ROCK 激酶,这些激酶是控制肿瘤细胞迁移的可操作靶点。
结论:我们的发现确定了 2 种新的治疗途径。首先,患者来源的 GSCs 代表了一种预测工具,可以对患者进行分层,以适应放疗策略。其次,自分泌和短程 BMP7 相关信号成为一种可靶向药物,以防止 DMG 扩散和转移。
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