Investigating the Expression Pattern of the SETMAR Gene Transcript Variants in Childhood Acute Leukemia: Revisiting an Old Gene

Abstract

Background: The chimeric enzyme SETMAR (or Metnase) has been associated with several DNA processes, including DNA damage repair through the non-homologous joining pathway and suppression of chromosomal translocation in mouse fibroblasts. SETMAR overexpression has been reported in certain cancers suggesting that it might contribute to the establishment or progression of these cancers. In leukemia, the SETMAR gene transcript variants have not been widely studied. Therefore, this study aimed to quantify 3 predominant SETMAR variants in 2 types of childhood acute leukemia, acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). Methods: In this study, using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), the relative expression of 3 SETMAR transcript variants (Var 1, Var 2, and Var A) were evaluated in the bone marrow samples collected from 30 newly diagnosed patients with AML, 65 newly diagnosed patients with ALL, and 15 healthy individuals. Results: The expression of SETMAR variants 1 and A were significantly higher in AML patients compared with controls (P=0.02, and P=0.009, respectively). Variant A expression was significantly higher in ALL compared with controls (P=0.003). When comparing the expression in translocation-positive and negative subgroups, the expression of variant 1 was significantly higher in translocation-positive ALL patients (P=0.03). The variants’ distribution patterns differed concerning translocation status (P=0.041), as variants 1 and A were dominant in the translocation-positive ALL group, and variant 2 was more prevalent in translocation-negative ones. Conclusions: According to the results, SETMAR showed increased expression in pediatric acute leukemia’s bone marrow samples, indicating a role for this molecule in leukemia pathogenesis. As this is the first report of SETMAR expression in pediatric leukemias, further studies are needed to investigate the causality of this association.

Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning

“…Fever, night sweats, tiredness and fatigue, headache, bone and joint pain, weight loss, and pallor are usually associated with red blood cell deficiency, thus a major anemic state [15]. If platelet deficiency occurs, small hemorrhages in the oral cavity or gastrointestinal tract or spots on the skin may appear [16]. Deep hemorrhages may appear in the brain or gastrointestinal tract at a later but always more rapid stage.…”