A straightforward assay to evaluate DNA integrity and optimize next-generation sequencing for clinical diagnosis in oncology

• Autor(a) principal: Bettoni, Fabiana
• Data de Publicação: 2017
• Outros Autores: Koyama, Fernanda Christtanini, Carpinetti, Paolade Avelar, Galante, Pedro Alexandre Favoretto, Camargo, Anamaria Aranha, Asprino, Paula Fontes
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: https://doi.org/10.1016/j.yexmp.2017.11.011; http://www.locus.ufv.br/handle/123456789/16420
• topic: DNA integrity; Next-generation sequencing

Next generation sequencing (NGS) has become an informative tool to guide cancer treatment and conduce a personalized approach in oncology. The biopsy collected for pathologic analysis is usually stored as formalin fixed paraffin-embedded (FFPE) blocks and then availed for molecular diagnostic, resulting in DNA molecules that are invariably fragmented and chemically modified. In an attempt to improve NGS based diagnostics in oncology we developed a straightforward DNA integrity assessment assay based on qPCR, defining clear parameters to whether NGS sequencing results is accurate or when it should be analyzed with caution. We performed DNA extraction from 12 tumor samples from diverse tissues and accessed DNA integrity by straightforward qPCR assays. In order to perform a cancer panel NGS sequencing, DNA library preparation was performed using RNA capture baits. Reads were aligned to the reference human genome and mutation calls were further validated by Sanger sequencing. Results obtained by the DNA integrity assays correlated to the efficiency of the pre-capture library preparation in up to 0.94 (Pearson's test). Moreover, sequencing results showed that poor integrity DNA leads to high rates of false positive mutation calls, specially C:G > T:A and C:G > A:T. Poor quality FFPE DNA samples are prone to generating false positive mutation calls. These are especially perilous in cases in which subclonal populations are expected, such as in advance disease, since it could lead clinicians to erroneous conclusions and equivocated conduct.