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Targeted high throughput sequencing in clinical cancer Settings: formaldehyde fixed-paraffin embedded (FFPE) tumor tissues, input amount and tumor heterogeneity

机译:临床癌症中的靶向高通量测序设置:甲醛固定石蜡包埋(FFPE)肿瘤组织,输入量和肿瘤异质性

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Background Massively parallel sequencing technologies have brought an enormous increase in sequencing throughput. However, these technologies need to be further improved with regard to reproducibility and applicability to clinical samples and settings. Methods Using identification of genetic variations in prostate cancer as an example we address three crucial challenges in the field of targeted re-sequencing: Small nucleotide variation (SNV) detection in samples of formalin-fixed paraffin embedded (FFPE) tissue material, minimal amount of input sample and sampling in view of tissue heterogeneity. Results We show that FFPE tissue material can supplement for fresh frozen tissues for the detection of SNVs and that solution-based enrichment experiments can be accomplished with small amounts of DNA with only minimal effects on enrichment uniformity and data variance. Finally, we address the question whether the heterogeneity of a tumor is reflected by different genetic alterations, e.g. different foci of a tumor display different genomic patterns. We show that the tumor heterogeneity plays an important role for the detection of copy number variations. Conclusions The application of high throughput sequencing technologies in cancer genomics opens up a new dimension for the identification of disease mechanisms. In particular the ability to use small amounts of FFPE samples available from surgical tumor resections and histopathological examinations facilitates the collection of precious tissue materials. However, care needs to be taken in regard to the locations of the biopsies, which can have an influence on the prediction of copy number variations. Bearing these technological challenges in mind will significantly improve many large-scale sequencing studies and will - in the long term - result in a more reliable prediction of individual cancer therapies.
机译:背景技术大规模并行测序技术带来了测序通量的极大提高。但是,这些技术在可重复性和对临床样品和环境的适用性方面需要进一步改进。方法以鉴定前列腺癌的遗传变异为例,我们解决了靶向重测序领域的三个关键挑战:福尔马林固定石蜡包埋(FFPE)组织材料样品中的小核苷酸变异(SNV)检测,输入样本并根据组织异质性进行采样。结果我们显示FFPE组织材料可以补充新鲜的冷冻组织以检测SNV,并且基于溶液的富集实验可以用少量DNA进行,而对富集均匀性和数据差异的影响却很小。最后,我们解决了一个问题,即肿瘤的异质性是否通过不同的遗传改变反映出来,例如肿瘤的不同灶显示不同的基因组模式。我们表明,肿瘤异质性在检测拷贝数变异中起重要作用。结论高通量测序技术在癌症基因组学中的应用为疾病机理的识别开辟了新的领域。尤其是使用少量可从外科肿瘤切除术和组织病理学检查中获得的FFPE样品的能力,有利于珍贵组织材料的收集。但是,需要注意活检的位置,这可能会对拷贝数变化的预测产生影响。牢记这些技术挑战将大大改善许多大规模测序研究,并且从长远来看,将使对单个癌症疗法的预测更加可靠。

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