Relationship between Effect of Induction Chemotherapy and Prognosis in AML Patients / 中国实验血液学杂志

OBJECTIVE@#To explore the relationship between effect of induction chemotherapy and prognosis in acute myeloid leukemia (AML) patients.@*METHODS@#The clinical data of 146 adult AML patients treated in Affiliated Hospital of Chifeng University from March 2015 to March 2018 were enrolled and retrospectively analyzed. Day 14 bone marrow biopsy (D14BM) cellularity and blast proportion, daily peripheral blood blast (PBB) clearance rate, time to PBB clearance and etc. were primarily observed after induction chemotherapy. All the patients were divided into Non-relapse survival group, Relapse survival group, Non-relapse death group and Relapse death group according to survival and recurrence situation during 2-year follow-up. The survival of the patients was analyzed by Kaplan-Meier. Univariate analysis of prognostic factors were performed by ordinal Logistic regression, and ROC curve was used to assess the prediction efficiency of those factors for the 2-year overall survival (OS) and relapse of the patients.@*RESULTS@#A total of 138 patients were included since 8 cases failed to be assessed clinically. Their 2-year OS rate was 65.94%. Age of the patients in Non-relapse survival group was lower than that in Relapse death group. The D14BM cellularities in Non-relapse survival group and Relapse survival group were lower than those in Relapse death group (P10%, while it was higher in patients with daily PBB clearance rate >20% than those with clearance rate≤20% (P0.05).@*CONCLUSION@#Bone marrow biopsy results and PBB clearance rate are related to prognosis in AML patients, which can offer certain predictive value in assessing 2-year OS of patients.

Plant metabolomics approach for age discrimination of mountain cultivated ginseng using UPLC-Q-TOF/MS / 中国中药杂志

Growth year is one of the important factors for the quality of mountain cultivated ginseng (MCG). For age differentiation of MCG, rhizome extracts of ginseng aged from 11 to 15 years were analyzed using a non-targeted approach with ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)-based on plant metabolomics technique. Multivariate statistical methods such as principal component analysis (PCA) and orthogonal partial least squared discrimination analysis (OPLS-DA) were used to compare the derived patterns among the samples. The results showed that the chemical constituents of MCG rhizome extracts of ginseng aged from 11 to 15 years were different. The data set was subsequently applied to metabolite selection by variable importance in the projection (VIP) for sophisticated classification with the optimal number of metabolites. The OPLS-DA model of MCG has a high interpretability and predictive capability, which established by selecting metabolites of MCG aged from 11 to 15 years. By this approach, MCG samples aged from 11 to 15 years, which are the most in demand in the Chinese ginseng market, can be precisely differentiated on the basis of selected metabolites. This proposed analytical method is fast, accurate, and reliable for discriminating the growth year of MCG. Moreover, this study supplies a new method for the age discrimination of other Chinese medicinal materials.