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In vivo models for defining molecular subtypes of the primitive neuroectodermal tumor genome: current challenges and solutions.

机译:定义原始神经外胚层肿瘤基因组分子亚型的体内模型:当前的挑战和解决方案。

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Primitive neuroectodermal tumors (PNET) of the brain include medulloblastoma (MB) and central nervous system primitive neuroectodermal tumor (CNS PNET) subtypes, which share histological features yet differ at the genomic level and in clinical outcome. Delineation of the genetic anomalies between PNET subtypes is a current challenge for establishing effective targeted therapeutic strategies against these aggressive tumors. Current efforts have demonstrated that specific molecular pathways drive a subset of MB and CNS PNET, but the genetic basis for the deadliest forms of these tumors remains poorly understood and anecdotal. This is in part due to an overall lack of biologically relevant in vivo and in vitro model systems capable of direct comparison and identification of the genetic origins among PNET subtypes. Forward genetic, random mutagenesis in mice is an effective phenotype-driven method to model the genetic origins of human disease including cancer. We have applied this method to PNET by developing a single Sleeping Beauty transposon insertional mutagenesis mouse model that recapitulates the morphological similarities and genetic heterogeneity of MB and CNS PNET capable of identifying genetic drivers important for genesis of PNET. Importantly, this model has allowed new PNET phenotypes to be observed and is designed to reveal biologically relevant candidate oncogenes and tumor suppressor genes for MB and CNS PNET molecular subgroups in mice and humans. The ultimate goal of the approach we have taken is to uncover new understanding of the genetic basis for MB and CNS PNET development, how they are distinguished from each other, and offer potential targets for therapeutic testing to improve patient clinical outcome.
机译:大脑的原始神经外胚层肿瘤(PNET)包括髓母细胞瘤(MB)和中枢神经系统原始神经外胚层肿瘤(CNS PNET)亚型,它们具有相同的组织学特征,但在基因组水平和临床结果方面有所不同。在建立针对这些侵袭性肿瘤的有效靶向治疗策略方面,PNET亚型之间遗传异常的描述是当前的挑战。当前的努力表明,特定的分子途径驱动了MB和CNS PNET的一个子集,但这些肿瘤最致命形式的遗传基础仍然知之甚少和传闻。部分原因是由于总体上缺乏能够直接比较和鉴定PNET亚型之间遗传起源的体内和体外生物学模型系统。在小鼠中进行正向遗传,随机诱变是一种有效的由表型驱动的方法,可以对包括癌症在内的人类疾病的遗传起源进行建模。我们已经通过开发一个单一的Sleeping Beauty转座子插入诱变小鼠模型将这种方法应用于PNET,该模型概括了MB和CNS PNET的形态相似性和遗传异质性,能够鉴定出对PNET产生重要的遗传驱动因素。重要的是,该模型允许观察到新的PNET表型,并设计用于揭示小鼠和人类中MB和CNS PNET分子亚组的生物学相关候选癌基因和抑癌基因。我们采用的方法的最终目标是揭示对MB和CNS PNET开发的遗传基础的新认识,它们之间的区别方式,并提供治疗测试的潜在目标以改善患者的临床结果。

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