KRAS mutations in patients with AML: clinical characteristics and not reported mutations using NGS
Autor: | Salma Said Ibrahim Elsayed, Akram Abdel-Moneim Deghady, Dalia AbdElmoat Elneily, Reham Abdel Haleem AboElwafa |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Alexandria Journal of Medicine, Vol 60, Iss 1, Pp 186-191 (2024) |
Druh dokumentu: | article |
ISSN: | 20905068 2090-5076 2090-5068 |
DOI: | 10.1080/20905068.2024.2375467 |
Popis: | Background AML is a complex and heterogeneous disease. The KRAS gene is one of the important genes in the pathogenesis of acute myeloid leukemia (AML). Mutant RAS can promote oncogenesis via different mechanisms including oncogenic transcription, cell cycle progression, cellular survival, growth, metabolism, and cell migration. Therefore, it is important to identify the genomic landscape of AML. The aim of the study is to identify KRAS variants in AML and their association with clinic pathological criteria and possible effects on prognosis using NGS.Method Hotspot mutations in the KRAS gene were studied using Ion S5 next-generation sequencing system. Bone marrow samples of newly diagnosed AML patients were collected to identify hotspot mutations in the KRAS gene. DNA amplicons were subjected to sequencing and were analyzed using ion torrent software. Patients were classified according to the FAB classification system. Patients are also classified according to the cytogenetic groups and the ELN risk stratification system.Results KRAS mutations were detected in exon 2, 3, whereas no mutations in KRAS exon 1. Interestingly, Novel mutations were detected in KRAS in AML Egyptian patients. Also, there was no statistically significant association of RAS mutations with different clinical and prognostic parameters. However, KRAS mutant patients tended to have increased PB WBC counts, percentage of PB, and bone marrow blasts.Conclusion NGS is considered a useful tool to identify KRAS variants that could be useful for risk stratification and tailored therapy in AML patients |
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