BackgroundPretreatment platelet count has been reported as a potential tool to predict survival outcome in several solid tumors. However, the predictive value of pretreatment platelet count remains obscure in de novo acute myeloid leukemia (AML) excluding acute promyelocytic leukemia (M3).MethodsWe conducted a retrospective review of 209 patients with de novo non-M3 AML in our institute over a period of 8 years (2007–2015). Receiver operating characteristic (ROC) curve analysis was used to determine the optimal platelet (PLT) cutoff in patients. We analyzed the overall survival (OS) and disease free survival (DFS) using the log-rank test and Cox regression analysis.ResultsBy defining the platelet count 50 × 109/L and 120 × 109/L as two cut-off points, we categorized the patients into three groups: low (<50 × 109/L), medium (50–120 × 109/L) and high (>120 × 109/L). On univariate analysis, patients with medium platelet count had longer OS and DFS than those with low or high platelet count. However, the multivariate analysis showed that only longer DFS was observed in patients with medium platelet count than those with low or high platelet count.ConclusionOur findings indicate that pretreatment platelet count has a predictive value for the prognosis of patients with non-M3 AML.

Background Neutrophil-to-lymphocyte (NLR) ratio can predict survival outcome and assess response to chemotherapy in several tumors. However, the values of NLR in acute myeloid leukemia (AML) remains unknown. Methods A retrospective review of 181 patients with de novo AML excluding acute promyelocytic leukemia (M3) was conducted in our institute. We categorized the patients into two groups by defining NLR =2.0 as the cut-off point. NLR was calculated by the ratio of the number of neutrophils to lymphocytes in the peripheral blood (PB). The baseline clinicopathologic parameters were compared using Chi-squared test or Kruskal-Wallis H test. Kaplan-Meier analysis was used to assess survival, and overall survival (OS) and disease-free survival (DFS) were analyzed using the Cox regression with log-rank tests. Results We found AML patients with low NLR (<2.0) had longer OS and DFS than those with high NLR (≥2.0). NLR, absolute neutrophil count (ANC), and absolute lymphocyte count (ALC) were significantly associated with OS and DFS in all AML patients. NLR, ANC, and ALC were associated with OS and DFS only in those case with myeloblasts over 50% in bone marrow (BM). Furthermore, the median NLR was dramatically increased in low NLR group when patients achieved complete remission (CR). Conclusions Pretreatment NLR as a marker can predict the prognosis and NLR can assess the response to chemotherapy in patients with non-M3 AML, especially in those cases with myeloblasts over 50% in BM.

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