ALBERT

Description: BACKGROUND AND AIMS In patients with myelodysplastic syndromes (MDS) several validated prognostic scores, such as IPSS and R-IPSS, are available to assess the risk of AML progression and predict overall survival (OS) as well as leukemia-free survival (LFS). A number of molecular aberrations can be identified in MDS. However, differently from AML, none of the current prognostic indexes takes into account molecular profile at diagnosis. WT1 expression has often been evaluated in acute leukemias and MDS. High WT1 expression levels on bone marrow at diagnosis have been reported to identify MDS patients who are at high risk of progression to AML. BAALC (Brain And Acute Leukemia Cytoplasmic) hyper-expression has been associated with a poor prognosis in AML patients, whereas its prognostic value in MDS is not yet clearly defined. The aim of our study was to determine if combined assessment of WT1 and BAALC expression levels at diagnosis could be predictive of leukemic evolution. MATERIALS AND METHODS We selected 86 patients with available WT1 and BAALC expression levels on BM samples at diagnosis. According to IPSS score, 22 patient were considered low-risk, 27 intermediate-1 and 28 intermediate-2 or high risk. Patients underwent different treatment schedules including supportive care, erythropoietin, hypomethylating and immunomodulating agents, according to their risk group. Median follow-up was 36 months (range 4 -121 months). Leukemia-free survival (LFS) was calculated from the diagnosis until last follow-up or documented leukemic progression as defined in literature. LFS was estimated using the Kaplan–Meier method. All Real-Time PCR were performed on DNA Engine 2 (Opticon®, MJ Research®). WT1 copy number/Abl copy number 1000x104 was used as cut-off value for high WT1 expression, a level of 1000x104 BAALC copy number/Abl copy number was set as cut-off for BAALC hyper-expression. RESULTS After a median time of 32 months, 43 patients died. The main cause of death was leukemic evolution (accounting for 31/43 deaths, 72%), other causes were cardiovascular events and infections (data not shown). The risk of death by any cause was significantly affected by leukemic evolution, diagnosis according to WHO classification and molecular expression profile at diagnosis. Multivariate analysis showed that leukemic evolution was an independent predictor of death (p