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基于 STAT3 的基因特征可对胶质母细胞瘤患者进行靶向治疗分层。

A STAT3-based gene signature stratifies glioma patients for targeted therapy.

机构信息

Neuro-Oncology Research Laboratory, Department of Research, National Neuroscience Institute, Singapore, Singapore.

School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.

出版信息

Nat Commun. 2019 Aug 9;10(1):3601. doi: 10.1038/s41467-019-11614-x.

Abstract

Intratumoral heterogeneity is a hallmark of glioblastoma (GBM) tumors, thought to negatively influence therapeutic outcome. Previous studies showed that mesenchymal tumors have a worse outcome than the proneural subtype. Here we focus on STAT3 as its activation precedes the proneural-mesenchymal transition. We first establish a STAT3 gene signature that stratifies GBM patients into STAT3-high and -low cohorts. STAT3 inhibitor treatment selectively mitigates STAT3-high cell viability and tumorigenicity in orthotopic mouse xenograft models. We show the mechanism underlying resistance in STAT3-low cells by combining STAT3 signature analysis with kinome screen data on STAT3 inhibitor-treated cells. This allows us to draw connections between kinases affected by STAT3 inhibitors, their associated transcription factors and target genes. We demonstrate that dual inhibition of IGF-1R and STAT3 sensitizes STAT3-low cells and improves survival in mice. Our study underscores the importance of serially profiling tumors so as to accurately target individuals who may demonstrate molecular subtype switching.

摘要

肿瘤内异质性是胶质母细胞瘤(GBM)的一个标志特征,被认为会对治疗结果产生负面影响。先前的研究表明,间充质肿瘤比前神经型亚型的预后更差。在这里,我们专注于 STAT3,因为它的激活先于前神经-间充质转化。我们首先建立了一个 STAT3 基因特征,将 GBM 患者分为 STAT3 高和低队列。STAT3 抑制剂治疗在原位小鼠异种移植模型中选择性减轻了 STAT3 高细胞的活力和致瘤性。我们通过将 STAT3 特征分析与 STAT3 抑制剂处理细胞的激酶组筛选数据相结合,揭示了 STAT3 低细胞耐药的机制。这使我们能够在受 STAT3 抑制剂影响的激酶及其相关转录因子和靶基因之间建立联系。我们证明,双重抑制 IGF-1R 和 STAT3 可使 STAT3 低细胞敏感,并改善小鼠的生存。我们的研究强调了连续对肿瘤进行分析的重要性,以便能够准确地针对可能表现出分子亚型转换的个体进行靶向治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0c8/6689009/94bfce74aabe/41467_2019_11614_Fig1_HTML.jpg

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