مقالات پذیرفته شده در نهمین کنگره بین المللی زیست پزشکی
Analysis of common polymorphisms of Acute Myeloid Leukemia (AML) in the Iranian genome profile and evaluation of side effects of indigenous Iranian medicines
Analysis of common polymorphisms of Acute Myeloid Leukemia (AML) in the Iranian genome profile and evaluation of side effects of indigenous Iranian medicines
Introduction: Acute Myeloid leukemia (AML) is a heterogeneous hematological malignancy characterized by diverse genetic mutations. Genetic polymorphisms can significantly influence disease progression and treatment outcomes in different populations. Furthermore, assessing the side effects of chemotherapeutic agents, particularly in indigenous populations, is crucial for optimizing treatment protocols.
Methods: We conducted a comprehensive literature review to identify common genetic polymorphisms associated with AML susceptibility. Relevant single nucleotide polymorphisms (SNPs) and their corresponding phenotypic data were retrieved from the NCBI database, prioritizing highly cited publications and population-specific studies. This data, along with information on the side effects of AML drugs available in the Iranian market, was complied and analyzed using MegaGene software. Bioinformatic analyses were conducted to study the associations between genetic variants and drug side effects.
Results: Our analysis identified three common polymorphisms, including RS2454206, RS61744960, RS62621450, as significant genetic markers in the AML patient population. These markers were associated with a higher incidence of side effects following standard chemotherapy.
Conclusion: Our findings highlight the importance of genetic screening for specific polymorphisms, such as those found in the TET2 gene, prior to initiating AML treatment. The presence of these genetic markers necessitates a personalized therapeutic approach, which could involve prescribing alternative drugs with fewer side effects. Therefore, incorporating genetic profiling into standard clinical practice is essential to optimize treatment protocols and improve patient outcomes in the Iranian population.