Exploring the pharmacological mechanisms of Shuanghuanglian against T-cell acute lymphoblastic leukaemia through network pharmacology combined with molecular docking and experimental validation.

CONTEXT: Due to the poor prognosis of T-cell acute lymphoblastic leukaemia (T-ALL), there is an urgent need to identify safer and more cost-effective drugs. OBJECTIVE: This study evaluated the antitumour activity of Shuanghuanglian (SHL) on T-ALL cells and elucidated the mechanism. MATERIALS AND METHODS: Jurkat and Molt4 cells were treated with SHL (0.1, 0.2 and 0.4 mg/mL) for 24 and 48 h. The controls were treated with RPMI 1640 containing 10% foetal bovine serum. Cell viability was evaluated through Cell Counting Kit-8 assay. Patterns of death and signalling pathway alterations caused by SHL were identified by network pharmacology combined with GO enrichment analysis and then were verified by Hoechst 33342 staining, Annexin V-FITC/PI staining and Western blotting. Interactions of the active ingredients with targets were analysed by molecular docking. RESULTS: The IC50 values of SHL in Jurkat and Molt4 cells were 0.30 ± 0.10 and 0.48 ± 0.07 mg/mL, respectively, at 24 h and 0.27 ± 0.05 and 0.30 ± 0.03 mg/mL at 48 h. In T-ALL, 117 target genes of SHL were mainly enriched in the apoptosis and NOTCH signalling pathways. SHL induced apoptosis was confirmed by Hoechst 33342 staining and flow cytometry. The protein levels of cleaved caspase-7 and cleaved PARP were significantly increased but those of cleaved NOTCH1 and MYC were reduced. The active ingredients of SHL can interact with γ-secretase.Discussion and conclusions: SHL induces apoptosis in T-ALL cells via the NOTCH1-MYC pathway and may be a potential drug for the treatment of T-ALL.

[Detection of Fusion Gene and Prognosis Analysis in Children with Acute Lymphoblastic Leukemia of Different Immunophenotypes].

OBJECTIVE: To observe the detection of fusion gene in children with acute lymphoblastic leukemia (ALL) of different immunophenotypes, and analyze the relationship between fusion gene and prognosis. METHODS: The clinical data of 86 children with ALL treated in the hospital from May 2015 to May 2020 were retrospectively analyzed, the immunophenotypes and the prognosis of children were recorded, the detection of fusion gene in ALL children with different immunophenotypes was compared, the relationship between detection of fusion gene and prognosis was analyzed. RESULTS: The results of bone marrow immunophenotype showed that there were 13 cases of T cell type and 73 cases of B cell type in 86 children with ALL. The detection rate of fusion gene SIL-TAL1 in ALL children with T cell type was significantly higher than that in ALL children with B cell type (P<0.05). The detection rates of fusion genes BCR-ABL1, E2A-PBX1 and TEL-AML1 in ALL children with B cell type were higher than those in ALL children with T cell type, but the differences were not statistically significant (P>0.05). Followed up for 8-12 months, recurrence was taken as the end point, the average follow-up time was (10.14±1.75) months, in 86 children with ALL 15 cases recurred (17.44%). The recurrence curve drawn by Kaplan-Meier method showed that the median recurrence time of 15 children with recurrent ALL was 9 months. The proportions of positive minimal residual disease and extramedullary infiltration in the poor prognosis group were higher than those in the good prognosis group, and the differences were statistically significant (P<0.05). The detection rates of fusion genes BCR-ABL and SIL-TAL1 in the poor prognosis group were higher than those in the good prognosis group, and the differences were statistically significant (all P<0.05). Logistic regression analysis showed that positive minimal residual lesions, extramedullary infiltration, and detection of fusion genes BCR-ABL and SIL-TAL1 were risk factors for poor prognosis in children with ALL (OR>1, P<0.05). The ROC curve analysis showed that the area under the curve (AUC) of combined detection of fusion gene BCR-ABL and SIL-TAL1 for predicting the poor prognosis of ALL children was >0.707, which had a certain predictive value. CONCLUSION: There are differences in fusion genes among ALL children with different immunophenotypes, minimal residual disease, extramedullary infiltration, and fusion gene are associated with prognosis of ALL children. Fusion gene detection can be used as new method to predict the prognosis of children with ALL.