Application of targeted next generation sequencing for the mutational profiling of patients with acute lymphoblastic leukemia Primena ciljanog sekvenciranja nove generacije u analizi mutacionog profila pacijenata sa akutnom limfoblastnom leukemijom

Abstract

© 2019 Dragana Janic, Jelena Peric, Teodora Karan-Djurasevic, Tatjana Kostic, Irena Marjanovic, Bojana Stanic, Nadja Pejanovic, Lidija Dokmanovic, Jelena Lazic, Nada Krstovski, Marijana Virijevic, Dragica Tomin, Ana Vidovic, Nada Suvajdzic Vukovic, Sonja Pavlovic, Natasa Tosic, published by Sciendo. Acute lymphoblastic leukemia (ALL) is the most common cancer in children, whereas it is less common in adults. Identification of cytogenetic aberrations and a small number of molecular abnormalities are still the most important risk and therapy stratification methods in clinical practice today. Next generation sequencing (NGS) technology provides a large amount of data contributing to elucidation of mutational landscape of childhood (cALL) and adult ALL (aALL). We analyzed DNA samples from 34 cALL and aALL patients, using NGS targeted sequencing TruSeq Amplicon - Cancer Panel (TSACP) which targets mutational hotspots in 48 cancer related genes. We identified a total of 330 variants in the coding regions, out of which only 95 were potentially protein-changing. Observed in individual patients, detected mutations predominantly disrupted Ras/RTK pathway (STK11, KIT, MET, NRAS, KRAS, PTEN). Additionally, we identified 5 patients with the same mutation in HNF1A gene, disrupting both Wnt and Notch signaling pathway. In two patients we detected variants in NOTCH1 gene. HNF1A and NOTCH1 variants were mutually exclusive, while genes involved in Ras/RTK pathway exhibit a tendency of mutation accumulation. Our results showed that ALL contains low number of mutations, without significant differences between cALL and aALL (median per patient 2 and 3, respectively). Detected mutations affect few key signaling pathways, primarily Ras/RTK cascade. This study contributes to knowledge of ALL mutational landscape, leading to better understanding of molecular basis of this disease.