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Rapid Identification of Therapeutic Targets in Hematologic Malignancies via Functional Genomics

机译:通过功能基因组学快速鉴定血液系统恶性肿瘤中的治疗靶标

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摘要

The clinical application of gene-targeted drugs has transformed cancer therapy. The hallmark example of this strategy is use of the ABL kinase inhibitor imatinib for treatment of patients with chronic myeloid leukemia (CML). This remarkable clinical success has also stimulated an expansive search for personalized gene targets in all patients to facilitate broad application of targeted therapy for cancer. However, achievement of this objective will require simultaneous work towards several complementary goals. The first step towards broad application of gene-targeted therapy must entail a rapid means to identify target oncogenes in individual patients. Next, we must identify well-tolerated, gene-specific drugs that are collectively effective against a wide diversity of gene targets. Finally, we must develop protocols by which individual patients are matched with appropriate, gene-targeted drugs in a clinically relevant time frame. While these may seem like difficult tasks, we are fortunate to have a wide variety of new and rapidly evolving research tools at our disposal. These include next-generation sequencing of the genome and transcriptome, single nucleotide polymorphism (SNP)/copy number variations (CNV) and gene expression microarrays, and RNAi libraries for the application of functional screens. In this review we discuss the advantages and disadvantages of each of these techniques with the goal of demonstrating that no single technique will be sufficient as a standalone technology, but rather it will be the integration of all techniques that will enable broad application of gene-targeted cancer therapies.
机译:基因靶向药物的临床应用已经改变了癌症治疗方法。该策略的标志性例子是使用ABL激酶抑制剂伊马替尼治疗慢性粒细胞白血病(CML)患者。这项非凡的临床成功也刺激了所有患者对个性化基因靶标的广泛搜索,以促进癌症靶向治疗的广泛应用。但是,要实现这一目标,就需要同时努力实现几个补充目标。广泛应用基因靶向疗法的第一步必须采取一种快速的方法来鉴定个别患者的靶癌基因。接下来,我们必须确定耐受性良好的基因特异性药物,这些药物可共同有效地对抗多种多样的基因靶标。最后,我们必须制定方案,通过该方案在临床相关的时间范围内将个体患者与合适的,基因靶向药物进行匹配。尽管这些任务看似艰巨,但我们很幸运能够使用各种新的且发展迅速的研究工具。这些包括基因组和转录组的下一代测序,单核苷酸多态性(SNP)/拷贝数变异(CNV)和基因表达微阵列,以及用于功能筛选的RNAi文库。在这篇综述中,我们讨论了每种技术的优缺点,目的是证明没有任何一种技术可以作为独立技术而已,而所有技术的整合将使基因靶向的广泛应用成为可能。癌症疗法。

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