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Next generation sequencing as a tool for pharmacogenomic profiling: Nine novel potential genetic markers for targeted therapy in childhood acute lymphoblastic leukemia
Author(s) -
Lidija Dokmanović,
Goran Milošević,
Jelena Kostic,
Nataša Tos̆ić,
Nada Krstovski,
Dragana Janić,
Sonja Pavlović
Publication year - 2017
Publication title -
srpski arhiv za celokupno lekarstvo
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.135
H-Index - 17
eISSN - 2406-0895
pISSN - 0370-8179
DOI - 10.2298/sarh171003194d
Subject(s) - medicine , pharmacogenomics , stk11 , targeted therapy , missense mutation , computational biology , bioinformatics , dna sequencing , kras , gene , genetics , mutation , cancer , biology , pharmacology , colorectal cancer
/Objective Next generation sequencing (NGS) technology has enabled genomic profiling of each patient. Growing knowledge in pharmacogenomics makes it possible to use NGS data for discovery of novel potential genetic markers for targeted therapy of many diseases, especially cancers. The aim of this study was to use targeted NGS to make a genetic profile of childhood acute lymphoblastic leukemia (cALL) in order to evaluate potential molecular targets for targeted therapy. Methods We analyzed DNA samples from 17 cALL patients using NGS targeted sequencing. Advanced bioinformatic analysis was used to identify novel mutations in analyzed genes and to predict their effect and pharmacogenomic potential. Results We identified nine variants that have not been previously reported in relevant databases, including two stop-gain variants, ABL1 p.Q252* and AKT1 p.W22*, one frameshift, STK11 p.G257fs*28, and six missense variants. We created three-dimensional models of four proteins harboring novel missense variants. We analyzed pharmacogenomic potential of each variant and found that two of them, STK11 c.1023G>T/ p.L341F and ERBB2 c.2341C>T/ p.R781W, are suitable candidates for targeted therapy. Conclusion Most new variants detected in this study were found in the genes associated with Ras signaling pathway, which is frequently mutated in cALL patients. Pharmacogenomic profiling of each cALL will be indispensable for novel therapy approaches. Detection and initial analysis of novel variants, presented in this study, will become a standard procedure for the design and development of individualized therapies for children with ALL, leading to improved patient outcomes.

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