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Introduction: Sifting through the characterization of hematologic malignancies

机译:简介:筛查血液系统恶性肿瘤的特征

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The advent of the new technologies of the genomic age has accelerated the identification of genetic variants, both in the germline and in somatic cells, which can confer susceptibility to specific cancers and, more importantly, drive cancer progression. A major problem lies in sifting through dense data sets to find the key alterations, which provide insight into the underlying cancer and possibly lead to new targets for therapy. The introduction of massively parallel sequencing technologies has shifted the discovery paradigm from a focused hypothesis-driven approach to large surveys of genomic features-now including almost complete profiles of coding regions (known as exomes), RNA-transcripts, and whole-genome sequencing of DNA. Analysis has shifted from validating a specific hypothesis to "covering the waterfront" with many possible genetic alterations, which have to be filtered and interpreted.
机译:基因组时代的新技术的出现加速了种系和体细胞中遗传变异的鉴定,这可以赋予特定癌症易感性,更重要的是,可以推动癌症的发展。一个主要问题在于筛选密集的数据集以找到关键的变化,这些变化提供了对潜在癌症的洞察力,并可能导致新的治疗靶标。大规模并行测序技术的引入已将发现范式从一种集中的假设驱动方法转变为对基因组特征的大规模调查-现在包括几乎完整的编码区概况(称为外显子组),RNA转录本和全基因组测序脱氧核糖核酸。分析已从验证特定的假设转变为“覆盖海旁”,其中存在许多可能的遗传改变,必须对其进行过滤和解释。

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