Preliminary exploration of the metabolic profile and metabolic pathways in newly diagnosed multiple myeloma / 中华肿瘤杂志

Objective: To explore the metabolite profile and metabolic pathways of newly diagnosed multiple myeloma (MM). Methods: Gas chromatography-mass spectrometry (GC-MS) was employed for the high-throughput detection and identification of serum samples from 55 patients with MM and 37 healthy controls matched for age and sex from 2016 to 2017 collected at the First Affiliated Hospital of Soochow University. The relative standard deviation (RSD) of quality control (QC) samples was employed to validate the reproducibility of GC-MS approach. The differential metabolites between patients with MM and healthy controls were detected by partial least squares discrimination analysis (PLS-DA), and t-test with false discovery rate (FDR) correction. Metabolomics pathway analysis (MetPA) was employed to construct metabolic pathways. Results: There were 55 MM patients, including 34 males and 21 females. The median age was 60 years old (42-73 years old). There were 30 cases of IgG type, 9 cases of IgA type, 1 case of IgM type, 2 cases of non-secreted type, 1 case of double clone type and 12 cases of light chain type, including 3 cases of kappa light chain type and 9 cases of lambda light chain type. The result of QC sample test showed that the proportion of compounds with the RSD of the relative content of metabolites < 15% was 70.21% obtained by the reproducibility of GC-MS experimental data, which implied that the experimental data were reliable. A total of 17 metabolites were screened differently with the healthy control group, including myristic acid, hydroxyproline, cysteine, palmitic acid, L-leucine, stearic acid, methionine, phenylalanine, glycerin, serine, isoleucine, tyrosine, valine, citric acid, inositol, threonine, and oxalic acid (VIP>1, P<0.05). Metabolic pathway analysis suggested that metabolic disorders in MM patients comprised mainly phenylalanine metabolism, glyoxylic acid and dicarboxylic acid metabolism, phosphoinositide metabolism, cysteine and methionine metabolism, glycerolipid metabolism, glycine, serine, and threonine metabolism. Conclusion: Compared with normal people, patients with newly diagnosed MM have obvious differences in metabolic profiles and metabolic pathways.

The Expression of WTAP Gene in Acute Myeloid Leukemia and Its Clinical Significance / 中国实验血液学杂志

OBJECTIVE@#To investigate the expression of WTAP gene in acute myeloid leukemia (AML) and its clinical significance.@*METHODS@#74 acute myeloid leukemia patients with non-M3 type and 19 normal donors were selected, and real-time quantitative polymerase chain reaction was used to detect the mRNA expression level of WTAP gene in their bone marrow cells. The relationship between the mRNA expression level of WTAP gene and the clinical characteristics was analyzed.@*RESULTS@#The relative mRNA expression of WTAP gene in the non-M3 AML group was significantly higher than that in the healthy control group, and the difference showed statistically significant (P0.05) according to the classification of FAB. The mRNA expression level of WTAP gene in FLT3-ITD mutated AML patients was higher than that in FLT3-ITD unmutated group (P=0.016), and the mRNA expression level of WTAP gene in AML patients with CEBPα mutation was lower than that in CEBPα unmutated group (P=0.016). The expression level of WTAP mRNA was positively correlated with WT1 expression (r=0.6866, P0.05). The expression level of WTAP mRNA showed no obvious effect on the complete remission of patients after first treatment. The different expression level of WTAP gene at initial diagnosis showed also no effect on the overall survival time of patients.@*CONCLUSION@#The expression level of WTAP gene is increasing in new diagnosed non-M3 acute myeloid leukemia. There is a positive correlation between the expression level of WTAP gene and the expression level of WT1 fusion gene. WTAP mRNA always shows higher expression in patients with FLT3-ITD mutation than that in patients without FLT3-ITD mutation, and shows lower expression in patients with CEBPα mutation than that in unmutated group.