Mancini Irene, Simi Lisa, Salvianti Francesca, Castiglione Francesca, Sonnati Gemma, Pinzani Pamela
Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, 50139 Florence, Italy.
Molecular and Clinical Biochemistry Laboratory, Careggi University Hospital, 50139 Florence, Italy.
Diagnostics (Basel). 2019 Sep 12;9(3):117. doi: 10.3390/diagnostics9030117.
Next Generation Sequencing (NGS) is a promising tool for the improvement of tumor molecular profiling in view of the identification of a personalized treatment in oncologic patients. To verify the potentiality of a targeted NGS (Ion AmpliSeq™ Cancer Hotspot Panel v2), selected melanoma samples ( = 21) were retrospectively analyzed on S5 platform in order to compare NGS performance with the conventional techniques adopted in our routine clinical setting (Sequenom MassARRAY system, Sanger sequencing, allele-specific real-time PCR). The capability in the identification of rare and low-frequency mutations in the main genes involved in melanoma ( and genes) was verified and integrated with the results deriving from other oncogenes and tumor suppressor genes. The analytical evaluation was carried out by the analysis of DNA derived from control cell lines and FFPE (Formalin-Fixed, Paraffin-Embedded) samples to verify that the achieved resolution of uncommon mutations and low-frequency variants was suitable to meet the technical and clinical requests. Our results demonstrate that the amplicon-based NGS approach can reach the sensitivity proper of the allele-specific assays together with the high specificity of a sequencing method. An overall concordance among the tested methods was observed in the identification of classical and uncommon mutations. The assessment of the quality parameters and the comparison with the orthogonal methods suggest that the NGS method could be implemented in the clinical setting for melanoma molecular characterization.
鉴于在肿瘤患者中确定个性化治疗方案,下一代测序(NGS)是一种用于改善肿瘤分子谱分析的有前景的工具。为了验证靶向NGS(Ion AmpliSeq™癌症热点区域panel v2)的潜力,我们在S5平台上对选取的黑色素瘤样本(n = 21)进行了回顾性分析,以便将NGS性能与我们常规临床环境中采用的传统技术(Sequenom MassARRAY系统、桑格测序、等位基因特异性实时PCR)进行比较。我们验证了在黑色素瘤相关主要基因(BRAF和NRAS基因)中识别罕见和低频突变的能力,并将其与其他癌基因和肿瘤抑制基因的结果相结合。通过分析来自对照细胞系和福尔马林固定石蜡包埋(FFPE)样本的DNA进行分析评估,以验证所实现的罕见突变和低频变异分辨率是否适合满足技术和临床要求。我们的结果表明,基于扩增子的NGS方法能够达到等位基因特异性检测的灵敏度以及测序方法的高特异性。在经典和罕见突变的识别方面,观察到测试方法之间总体具有一致性。质量参数评估以及与正交方法的比较表明,NGS方法可用于黑色素瘤分子特征的临床环境。