Expression of WT1 gene in children with acute myeloid leukemia
TANG Xue, GUO Xia, YANG Xue, XIAO Hui, SUN Jing-Jing, YUAN Li-Xing, GAO Ju
Department of Pediatric Hematology & Oncology, West China Second University Hospital, Sichuan University;Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University), Ministry of Education, Chengdu 610041, China
Abstract：Objective To study WT1 gene expression in children with acute myeloid leukemia (AML) and its possible correlations to clinical outcomes. Methods Bone marrow samples were collected from 45 children with AML (excluding acute promyelocytic leukemia, AML-M3) at different time points of AML treatment and follow-up. WT1 gene expression levels in bone marrow mononuclear cells were assayed by real-time fluorescence quantitative PCR. The correlation between WT1 expression and prognosis was retrospectively analyzed. Results The WT1 expression level in AML children with bone marrow blast cell percentage of > 60% was significantly higher than in those with bone marrow blast cell percentage of ≤ 60% (P < 0.05). The lower WT1 expression level was documented in children with AML-M2 compared with in children with other non-M2 subtypes (P < 0.05). WT1 expression level in patients in complete remission was significantly lower than that in patients at diagnosis or relapse (P < 0.01). The 2-year disease-free survival (DFS) in patients with higher WT1 expression was significantly lower than in those with lower WT1 expression at the end of induction chemotherapy (P < 0.05). The 2-year overall survival (OS) and DFS in patients with ≥1 log WT1 reduction range were significantly higher than those with < 1 log reduction of WT1 expression level at the end of induction chemotherapy (P < 0.05). WT1 expression levels tended to rise 2-3 months prior to bone marrow relapse. Conclusions WT1 expression level is closely correlated prognosis in children with AML. Dynamic monitoring of WT1 expression level is of great clinical importance in terms of individualized management, prognosis evaluation and relapse prediction.
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