仿形(计算机编程)
医学
质量(理念)
样品(材料)
精密医学
计算机科学
计算生物学
医学物理学
生物
病理
色谱法
认识论
操作系统
哲学
化学
作者
Ilaria Alborelli,Philip Jermann
标识
DOI:10.1007/978-1-0716-2293-3_21
摘要
AbstractBroad molecular profiling by next-generation sequencing of solid tumors has become a critical tool for clinical decision-making in the era of precision oncology. In addition to many already approved targeted therapies, more than half of ongoing oncology-related clinical trials are biomarker-driven. Therefore, accurate and reliable assays are needed to assess the genetic make-up of tumor cells and guide clinicians in the therapy decision process. In order to obtain high-quality NGS data for variant detection, certain preanalytical steps and quality metrics should be followed. These include assessment of sample types, choice of extraction method, library preparation technology, sequencing platform, and finally sequencing quality control. Each of these steps has certain challenges and pitfalls that need to be addressed and overcome, respectively. In this chapter, we address the preanalytical quality control and how each of the involved steps may influence the final result. Following these guidelines and QC metrics may help in obtaining optimal results that will allow the precise and robust assessment of genetic variants in a clinical setting.Key wordsPreanalytical variableFFPELiquid biopsyctDNANext-generation sequencingMolecular pathologyVariant calling
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