OBJECTIVE: To investigate the synergistic effect and its mechanism of ginsenoside-Rg5 in combination with imatinib in inhibiting proliferation of chronic myeloid leukemia K562 cells. METHODS: K562 cells were treated with ginsenoside-Rg5 and imatinib. Cell survival was detected by CCK-8 assay, and IC₅₀ were calculated separately for each drug. Based on the value of IC₅₀ of ginsenoside-Rg5 and imatinib, an appropriate concentration gradient was selected for the combination. The synergistic effect of the two drug was analyzed using the online software synergy finder. The effects of single or combination therapy on apoptosis rate and the cell cycle distribution of K562 cells were analyzed by flow cytometry. Western blot was used to detect the expression of PI3K/AKT/mTOR signaling pathway related proteins and apoptosis related proteins in K562 cells after single or combination therapy. RESULTS: Ginsenoside-Rg5 and imatinib were able to inhibit the proliferative activity of K562 cells in a dosedependent manner(r =-0.991， r =-0.942). The synergy score ZIP >10 was measured by Synergy Finder online software, indicating that ginsenoside-Rg5 and imatinib act synergistically on K562 cells. The apoptotic rates of K562 cells after single treatments with ginsenoside-Rg5 and imatinib were 11.96% and 8.13%, respectively, while the rate increased to 21.35% with the combination of two drugs, the apoptosis rate in the combination group was higher than that in the single-drug group ( P <0.05). The proportion of K562 cells in the G₀/G₁ phase was significantly increased with the combined treatment of two drugs( P <0.05). The protein expression levels of p-PI3K, p-AKT, p-mTOR in K562 cells treated with the combination were significantly decreased, with noticeable downregulation of BCL-2 and upregulation of BAX, leading to a decreased Bcl-2/BAX ratio, while no significant changes were observed in the non-phosphorylated forms of PI3K, AKT, and mTOR proteins. CONCLUSION The combination of ginsenoside-Rg5 and imatinib can inhibit the proliferation of CML cells and induce apoptosis, and the mechanism may act through PI3K/AKT/mTOR signaling pathways.
Humans ; Ginsenosides/pharmacology* ; Imatinib Mesylate ; K562 Cells ; TOR Serine-Threonine Kinases/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Signal Transduction/drug effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/metabolism* ; Drug Synergism ; Apoptosis/drug effects* ; Phosphatidylinositol 3-Kinases/metabolism* ; Cell Proliferation/drug effects*

OBJECTIVE: To evaluate the efficacy and safety of DCAG (decitabine, cytarabine, anthracyclines, and granulocyte colony-stimulating factor) regimen in the treatment of patients with relapsed/refractory (R/R) acute myeloid leukemia (AML). METHODS: The clinical data of 64 R/R AML patients received treatment at Chinese PLA General Hospital from January 1st, 2012 to December 31st, 2022 were retrospectively analyzed. Primary endpoints included efficacy measured by overall response rate (ORR) and safety. Secondary endpoints included overall survival (OS), event-free survival (EFS) and duration of response (DOR). The patients were followed from enrollment until death, or the end of last follow-up (June 1st, 2023), whichever occurred first. RESULTS: Sixty-four patients who failed prior therapy were enrolled and completed 1 cycle, and 26 and 5 patients completed 2 and 3 cycles, respectively. Objective response rate was 67.2% ［39: complete remission (CR)/CR with incomplete hematologic recovery (CRi), 4: partial remission (PR)］. With a median follow-up of 62.0 months (1.0-120.9), the median overall survival (OS) was 23.3 and event-free survival was 10.6 months. The median OS was 51.7 months (3.4-100.0) in responders (CR/CRi/PR) while it was 8.4 months (6.1-10.7) in nonresponders ( P <0.001). Grade 3-4 hematologic toxicities were observed in all patients. Four patients died from rapid disease progression within 8 weeks after chemotherapy. CONCLUSION The DCAG regimen represents a feasible and effective treatment for R/R AML.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Cytarabine/administration & dosage* ; Granulocyte Colony-Stimulating Factor/administration & dosage* ; Retrospective Studies ; Male ; Female ; Decitabine ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Anthracyclines/administration & dosage* ; Middle Aged ; Adult ; Treatment Outcome ; Aged ; Recurrence

OBJECTIVE: To characterize the occurrence of SRSF2 mutations in chronic myelomonocytic leukemia(CMML) patients and their correlation with other gene mutations and some clinical characteristics. METHODS: The clinical data of 43 CMML patients diagnosed in Changzhou No.2 People's Hospital and Wuxi No.2 People's Hospital were retrospectively analyzed, and gene mutations detection was performed using next-generation sequencing (NGS). RESULTS: Among the 43 CMML patients the SRSF2 mutation detection rate was 39.5%(17/43). These mutations clustered collectively at the proline 95 residue in the splicing factor SRSF2. The other genes with mutation rate greater than 15% were ASXL1 (48.8%), TET2 (41.9%), NRAS (30.2%), RUNX1 (25.6%), and SETBP1 (16.3%). Among SRSF2- mutated patients, the most common co-mutation was ASXL1, followed by TET2. The median age of SRSF2 mutant patients was significantly higher than that of the wild type (68 vs 51.5, P < 0.001), but there was not statistically significant differences in gender, peripheral leukocytes, hemoglobin, platelets, karyotype, and blast cell compared to the wild-type (all P >0.05). Notably, 4 out of the 6 SRSF2 ^mutASXL1^mut CMML patients developed leukemia transformation, and 1 out of 10 SRSF2 ^wtASXL1^wt CMML patients developed leukemia transformation, with statistically significant difference in leukemia transformation rates (66.7% vs 10%, P =0.036). CONCLUSION SRSF2 mutations have a high incidence in CMML, occurring frequently in older patients, and often coexisting with ASXL1 and TET2 mutations. Patients with CMML carrying both SRSF2^mut ASXL1^mut double mutations have a higher risk of acute leukemia transformation.
Humans ; Serine-Arginine Splicing Factors/genetics* ; Mutation ; Leukemia, Myelomonocytic, Chronic/genetics* ; Retrospective Studies ; Male ; Female ; Repressor Proteins/genetics* ; DNA-Binding Proteins/genetics* ; Dioxygenases ; Middle Aged ; Aged ; Proto-Oncogene Proteins/genetics*

OBJECTIVE: To explore the efficacy and safety of venetoclax combined with demethylating drugs and intense chemotherapy in the treatment of acute myeloid leukemia (AML). METHODS: The clinical data of 76 patients with AML treated in Qilu Hospital of Shandong University Dezhou Hospital from January 2019 to March 2024 were retrospectively analyzed. Patients were divided into observation group and control group. 38 patients in the observation group received venetoclax combined with demethylating drugs (decitabine or azacytidine) and 38 patients in the control group with the "3+7" intensive chemotherapy regimen. The primary endpoints of clinical observation were complete remission (CR), CR with incomplete hematologic recovery (CRi), partial remission (PR), non remission (NR), and overall response rate (ORR). Secondary endpoints were overall survival (OS) and drug safety. RESULTS: After 2 courses of treatment, the CR+CRi rate in observation group and control group was 71.05% and 65.79%, respectively, and the ORR was 81.58% and 78.95%, respectively. After all courses of treatment, CR+CRi rate in the observation group and the control group was 73.68% and 78.95%, respectively, and the ORR was 81.58% and 84.21%, respectively, with no statistical significance between the two groups (P >0.05). After 1 course of treatment, there were statistically significant differences in the proportion and degree of myelosuppression, the duration of neutropenia and the duration of thrombocytopenia between the two groups (P < 0.05), while there were no statistically significant differences in the occurrence of neutropenia with fever between the two groups (P >0.05). The incidence of non-hematological adverse reactions was highest in infection (mainly pulmonary infection) and gastrointestinal reaction. Among the many adverse reactions, there were statistically significant differences in the infection and hypokalemia between the two groups (P < 0.05), the incidence of hypokalemia in observation group and control group was 42.11% and 15.79%, respectively, and the infection rate in observation group and control group was 73.68% and 94.74%, respectively. The median OS was 13.13(1.67-53.63) months in the observation group and 16.60(0.57-59.67) months in the control group. CONCLUSION The combination of venetoclax and demethylating drugs has a low degree of myelosuppression, but a long recovery time, a response rate as good as that of intensive chemotherapy, and a lower infection rate. However, the incidence of hypokalemia is low in the intensive chemotherapy regimen, and the regimen significantly improves the long-term outcome of patients.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Sulfonamides/therapeutic use* ; Bridged Bicyclo Compounds, Heterocyclic/administration & dosage* ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Female ; Male ; Decitabine/therapeutic use* ; Azacitidine/therapeutic use* ; Middle Aged ; Treatment Outcome ; Adult ; Aged ; Remission Induction

OBJECTIVE: To study the expression of SPOP in patients with acute myeloid leukemia (AML) and its effect on proliferation, apoptosis and cycle of AML cells. METHODS: RT-qPCR was used to detect the expression of SPOP mRNA in bone marrow samples of patients with newly diagnosed AML and normal controls. The stable overexpression of SPOP in AML cell lines THP-1 and U937 were constructed by liposome transfection. The effect of SPOP on cell proliferation was detected by CCK-8, and the effect of SPOP on apoptosis and cell cycle was detected by flow cytometry. The expressions of anti-apoptotic protein Bcl-2 and apoptotic protein Bax, Caspase3 were detected by Western blot. RESULTS: The median expression level of SPOP mRNA in normal control group was 0.993 1(0.6303, 1.433), while that in AML group was 0.522 1(0.242 2, 0.723 7). The expression level of SPOP in AML group was significantly lower than that in normal control group ( P < 0.001). After the overexpression of SPOP, the proportion of apoptotic cells in the U937 overexpression group and THP-1 overexpression group was 10.9%±0.3% and 4.6%±015%, which were higher than 8.9%±0.3% and 3.0%±0.30% in the Empty Vector group, respectively (both P < 0.05). The expression of Caspase3 in U937 overexpression group and THP-1 overexpression group was 1.154±0.086 and 1.2±0.077, which were higher than 1 in Empty Vector group, respectively (both P < 0.05). The ratio of Bax/Bcl-2 in U937 overexpression group and THP-1 overexpression group was 1.328±0.057 and 1.669±0.15, which were higher than 1 in Empty Vector group, respectively (both P < 0.05). In the cell proliferation experiment, the number of cells in the U937 overexpression group and THP-1 overexpression group were both slightly lower than those in the Empty Vector group, but the differences were not statistically significant (P >0.05). In the cell cycle experiment, the proportion of G₁ cells in the U937 overexpression group and THP-1 overexpression group were both slightly higher than those in the Empty Vector group, but the differences were not statistically significant (P >0.05). CONCLUSION SPOP can promote the apoptosis of leukemic cells, and its mechanism may be related to down-regulation of Bcl-2 expression and up-regulation of Bax and Caspase3 expression.
Humans ; Leukemia, Myeloid, Acute/pathology* ; Apoptosis ; Repressor Proteins/genetics* ; Cell Proliferation ; Nuclear Proteins/genetics* ; Cell Cycle ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Caspase 3/metabolism* ; bcl-2-Associated X Protein/metabolism* ; U937 Cells ; Cell Line, Tumor ; RNA, Messenger/genetics*

OBJECTIVE: To investigate the expression of long non-coding RNA plasmacytoma variant translocation 1 (lncRNA-PVT1) in children with acute lymphoblastic leukemia (ALL) and its correlation with prognosis. METHODS: Clinical data of 64 children with ALL were retrospectively analyzed. All children received standardized treatment according to CCLG-ALL-2015 protocol, and their overall survival (OS) was followed up. Bone marrow examination and lncRNA-PVT1 examination were performed before first diagnosis (T1), early intensive therapy (T2), consolidation therapy (T3), delayed intensive therapy (T4), and maintenance therapy (T5). Bone marrow samples of 25 children with thrombocytopenic purpura were collected during the same period as control group. LncRNA-PVT1 expression was compared between ALL group and control group. ALL children were divided into high-risk group and non-high-risk group according to the risk factors at T3, and the expression changes of lncRNA-PVT1 were analyzed. The correlation of lncRNA-PVT1 with clinical features and prognosis of ALL children was analyzed. RESULTS: The expression of lncRNA-PVT1 in ALL children was significantly higher than that in control group (P < 0.001). ROC curve analysis showed that the area under curve (AUC) of lncRNA-PVT1 for ALL diagnosis was 0.919(95%CI : 0.863-0.975), the optimal cut-off value was 1.465, sensitivity was 87.50%, and specificity was 98.80%. ALL children were divided into low lncRNA-PVT1 group (lncRNA-PVT1< 2.18) and high lncRNA-PVT1 group (lncRNA-PVT1≥2.18) according to the median lncRNA-PVT1 value (2.18). The high lncRNA-PVT1 group had higher Day 33 MRD compared with low lncRNA-PVT1 group (P < 0.01). At T3, T4 and T5, the expression of lncRNA-PVT1 in high-risk group was significantly higher than that in non-highrisk group (all P < 0.01). The expression of lncRNA-PVT1 were significantly increased in high-risk group at 5 time points (P < 0.001), while, there was no significant difference in non-high-risk group (P >0.05). The median OS of low lncRNA-PVT1 group was 35(9-37) months, which was significantly higher than 25(5-33) months of high lncRNA-PVT1 group (P < 0.01). Univariate and multivariate Cox regression analysis showed that Day 33 MRD (>10^-2) and lncRNA-PVT1 (≥2.18) were independent risk factors for OS in ALL children (both P < 0.05). CONCLUSION LncRNA-PVT1 is involved in the pathogenesis of ALL in children and closely related to the prognosis.
Humans ; RNA, Long Noncoding/genetics* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/diagnosis* ; Prognosis ; Retrospective Studies ; Child ; Male ; Female ; Child, Preschool ; Adolescent

OBJECTIVE: To analyze the changes in coagulation during the treatment of acute promyelocytic leukemia (APL) and explore the influencing factors of coagulation in patients with APL. METHODS: Data of 166 APL patients admitted to our hospital from November 2018 to May 2023 were retrospectively analyzed, and the changes of various clinical indicators before and during treatment were compared. 166 APL patients were divided into abnormal coagulation group (n =115) and normal coagulation group (n =51) according to whether they experienced coagulation dysfunction. The basic information, clinical data and laboratory indicators of the two groups were compared. Multivariate logistic regression analysis was used to screen risk factors for coagulation dysfunction and established logistic regression model. Then we developed a neural network model and ranked the importance of the influencing factors, and used receiver operating characteristic (ROC) curves to evaluate the predictive performance of the two models. RESULTS: The comparative results of various clinical indicators in 166 APL patients before and during treatment showed that systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), estimated glomerular filtration rate (eGFR), platelet (PLT) and fibrinogen (FIB) were significantly increased during the treatment (P < 0.05), while glycosylated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), blood urea nitrogen (BUN), serum creatinine (SCr), high-sensitivity C reactive protein (hs-CRP), IL-6, TNF-α, TGF-β, white blood cells (WBC), absolute neutrophil count (ANC), prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer (D-D), fibrinogen degradation products (FDP) and lactate dehydrogenase (LDH) were significantly decreased during the treatment (P < 0.05). The proportion of patients with hemorrhage and high-risk APL in the abnormal coagulation group was significantly higher than that in the normal coagulation group (P < 0.05). The levels of IL-6, TNF-α, WBC, ANC, D-D, FDP and LDH in the abnormal coagulation group were significantly higher than those in the normal coagulation group (P < 0.05). The influencing factors selected by univariate analysis were incorporated into logistic regression analysis and neural network model to predict the risk of coagulation dysfunction in APL patients. ROC curves showed that the AUC of the two models were 096 and 0.908, the sensitivity were 0.824 and 0.892, the specificity were 0.940 and 0.904, the Youden index were 064 and 0.796, and the accuracy were 0.882 and 0.898, respectively. CONCLUSION High risk stratification, hemorrhage, elevated WBC, LDH, ANC and FDP levels are independent risk factors for coagulation dysfunction in APL patients. The logistic regression model and neural network model based on these risk factors demonstrate good predictive performance for coagulation dysfunction in APL patients.
Humans ; Leukemia, Promyelocytic, Acute/therapy* ; Blood Coagulation ; Retrospective Studies ; Male ; Female ; Risk Factors ; Logistic Models ; Middle Aged ; Adult ; ROC Curve

OBJECTIVE: To investigate the expression of co-inhibitory molecules TIGIT/CD155 and PD-1 on CD4⁺T cells and Treg cells in peripheral blood of patients with chronic lymphocytic leukemia (CLL) and analyze their clinical significance. METHODS: The expression of PD-1 and TIGIT on CD4⁺T cells and Treg cells was detected by flow cytometry in 40 CLL patients and 20 healthy controls. Additionally, the expression of CD155 on peripheral blood B cells and DC cells of the enrolled subjects was detected. RESULTS: The proportions of PD-1⁺TIGIT⁺CD4⁺T cells, PD-1⁺TIGIT⁺Treg cells and CD155⁺DC cells in peripheral blood of CLL patients were significantly higher than those of healthy controls ( P < 0.05). The proportions of PD-1⁺TIGIT⁺CD4⁺T cells and PD-1⁺TIGIT⁺Treg cells in CLL patients were significantly higher than those of PD-1⁺TIGIT^-CD4⁺T cells and PD-1⁺TIGIT^-Treg cells, respectively ( P < 0.05). Both PD-1⁺TIGIT⁺CD4⁺T cells and PD-1⁺TIGIT⁺Treg cells were positively correlated with the level of CD155⁺DC cells (r =0.742, r =0.766). With the progression of Binet stage, the proportions of PD-1⁺TIGIT⁺CD4⁺T cells, PD-1⁺TIGIT⁺Treg cells, and CD155⁺DC cells gradually increased ( P < 0.05), and the aforementioned three types cells were all increased in patients with CD38≥30%, IGVH unmutated, or poor prognosis due to chromosomal abnormalities ( P < 0.05). CONCLUSION Co-inhibitory molecules PD-1 and TIGIT may be involved in immunodepletion in patients with advanced CLL, which has clinical prognostic value. Dual inhibitor molecular targeted therapy provides a new direction for the individualized treatment of CLL.
Humans ; Leukemia, Lymphocytic, Chronic, B-Cell/immunology* ; Receptors, Immunologic/metabolism* ; Programmed Cell Death 1 Receptor/metabolism* ; T-Lymphocytes, Regulatory/metabolism* ; Receptors, Virus/metabolism* ; CD4-Positive T-Lymphocytes/metabolism* ; Male ; Female ; Middle Aged ; Flow Cytometry ; Clinical Relevance

OBJECTIVE: To investigate the influencing factors of differentiation syndrome (DS) during induction chemotherapy for acute promyelocytic leukemia (APL), and establish a prediction model for DS in newly diagnosed APL patients, in order to guide clinical treatment. METHODS: The clinical data of 324 newly diagnosed APL patients were retrospectively analyzed, and the patients were divided into DS group and non-DS group according to whether or not DS was present. Statistically significant factors from comparison of the two groups were selected and included in univariate and multivariate logistic regression to explore the influencing factors of DS in APL. R software was used to build the nomogram model, Bootstrap method was used for internal verification, and concordance index (C-index) and calibration curve were used to evaluate the accuracy of the model. RESULTS: The incidence of DS in 324 patients with newly diagnosed APL was 30.86% (100/324). Univariate logistic regression analysis showed that high risk, delayed retinoic acid, no hormonal prophylaxis, combined with disseminated intravascular coagulation, increased white blood cell count (WBC) at initial diagnosis and neutrophil count, prothrombin prolongation, decreased fibrinogen and albumin (ALB), increased proportion of bone marrow original cells, increased proportion of peripheral blood original cells, and increased peak of WBC after chemotherapy were risk factors for DS in newly diagnosed APL patients (all P < 0.01). Multivariate logistic regression analysis showed that the increased peak value of WBC after chemotherapy, prophylactic use of hormone, and ALB level were independent factors influencing the occurrence of DS in newly diagnosed APL patients (all P < 0.01). The C-index of DS in APL predicted by the nomogram model was 0.847(95%CI : 0.786-0.908). The calibration curve showed that the nomogram was in good agreement with the actual incidence of DS. CONCLUSION The independent influencing factors of DS in newly diagnosed APL are the increased peak value of WBC after chemotherapy, ALB and prophylactic use of hormone. The nomogram model based on the above factors can predict the risk of DS in APL patients, which is consistent with clinical observation.
Humans ; Leukemia, Promyelocytic, Acute/drug therapy* ; Nomograms ; Retrospective Studies ; Male ; Female ; Logistic Models ; Middle Aged ; Induction Chemotherapy ; Adult

OBJECTIVE: To analyze the molecular genetic spectrum of children with acute myeloid leukemia (AML), and explore its correlation with clinical characteristics and prognosis. METHODS: The clinical and molecular genetic data of 116 children with newly diagnosed AML in Wuhan Children's Hospital from September 2015 to August 2022 were retrospectively analyzed. The Fisher's exact test was used to analyze the correlation of gene mutations with clinical features, and Kaplan-Meier curve was used to analyze the influences of gene mutations on the prognosis. RESULTS: NRAS (22%), KRAS (14.9%), and KIT (14.7%) mutations were the most common genetic abnormalities in 116 children with AML. Children with KIT, CEBPA and GATA2 mutations showed a higher median onset-age than those without mutations (all P < 0.05). Children with FLT3-ITD mutation exhibited a higher white blood cell count at initial diagnosis compared to those without mutations (P < 0.05). Children with ASXL2 mutation had lower platelet count and hemoglobin at initial diagnosis than those without mutations (both P < 0.05). KIT mutations were often co-occurred with t(8;21)(q22;q22). There was no significant relationship between gene mutation and minimal residual disease (MRD) remission rate after the first and second induction therapy (P >0.05). KIT and NRAS mutations were not associated with prognosis significantly (P >0.05). The overall survival (OS) rates of children with CEBPA and FLT3-ITD mutations were superior to those without mutations, but the differences were not statistically significant (P >0.05). The 3-year OS rate of 61 children treated by allogeneic hematopoietic stem cell transplantation was 89.8%, which was significantly higher than 55.2% of those only treated by chemotherapy (P < 0.001). CONCLUSIONS Gene mutations are common in children with AML, and next-generation sequencing can significantly improve the detection rate of gene mutations, which can guide the risk stratification therapy. In addition, FLT3-ITD and KIT mutations may no longer be poor prognostic factors.
Humans ; Leukemia, Myeloid, Acute/genetics* ; Mutation ; Prognosis ; Retrospective Studies ; fms-Like Tyrosine Kinase 3/genetics* ; Child ; Proto-Oncogene Proteins c-kit/genetics* ; Male ; Female ; CCAAT-Enhancer-Binding Proteins/genetics* ; Membrane Proteins/genetics* ; Child, Preschool ; Adolescent ; GATA2 Transcription Factor/genetics* ; GTP Phosphohydrolases/genetics* ; Proto-Oncogene Proteins p21(ras)/genetics*