Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
Department of Pathology, Yale University School of Medicine, New Haven, CT, USA; Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.
Cell Rep. 2019 Apr 23;27(4):1277-1292.e7. doi: 10.1016/j.celrep.2019.03.085.
The brain is a major site of relapse for several cancers, yet deciphering the mechanisms of brain metastasis remains a challenge because of the complexity of the brain tumor microenvironment (TME). To define the molecular landscape of brain metastasis from intact tissue in vivo, we employ an RNA-sequencing-based approach, which leverages the transcriptome of xenografts and distinguishes tumor cell and stromal gene expression with improved sensitivity and accuracy. Our data reveal shifts in epithelial and neuronal-like lineage programs in malignant cells as they adapt to the brain TME and the reciprocal neuroinflammatory response of the stroma. We identify several transcriptional hallmarks of metastasis that are specific to particular regions of the brain, induced across multiple tumor types, and confirmed in syngeneic models and patient biopsies. These data may serve as a resource for exploring mechanisms of TME co-adaptation within, as well as across, different subtypes of brain metastasis.
大脑是多种癌症复发的主要部位,但由于脑肿瘤微环境(TME)的复杂性,破译脑转移的机制仍然是一个挑战。为了从体内完整组织中定义脑转移的分子图谱,我们采用了基于 RNA 测序的方法,该方法利用了异种移植物的转录组,并以更高的灵敏度和准确性区分肿瘤细胞和基质的基因表达。我们的数据揭示了恶性细胞在适应脑 TME 和基质的神经炎症反应时上皮和神经元样谱系程序的转变。我们确定了几个转移的转录特征,这些特征特定于大脑的特定区域,在多种肿瘤类型中诱导,并在同基因模型和患者活检中得到证实。这些数据可以作为探索脑转移不同亚型内部和之间 TME 共同适应机制的资源。