Anlotinib Inhibiting Mantle Cell Lymphoma Proliferation and Inducing Apoptosis through PI3K/AKT/mTOR Pathway.

BACKGROUND: This study investigates the inhibitory mechanism of anlotinib on human Mantle Cell Lymphoma (MCL) cells through in vitro and in vivo experiments. METHODS: In vitro cellular experiments validate the effects of anlotinib on MCL cell proliferation and apoptosis. Moreover, a subcutaneous xenograft nude mice model of Mino MCL cells was established to assess the anti-tumour effect and tumour microenvironment regulation of anlotinib in vivo. RESULTS: The results indicate that MCL cell proliferation was significantly inhibited upon anlotinib exposure. The alterations in the expression of apoptosis-related proteins further confirm that anlotinib can induce apoptosis in MCL cells. Additionally, anlotinib significantly reduced the PI3K/Akt/mTOR phosphorylation level in MCL cells. The administration of a PI3K phosphorylation agonist, 740YP, could reverse the inhibitory effect of anlotinib on MCL. In the xenograft mouse model using Mino MCL cells, anlotinib treatment led to a gradual reduction in body weight and a significant increase in survival time compared to the control group. Additionally, anlotinib attenuated PD-1 expression and elevated inflammatory factors, CD4, and CD8 levels in tumour tissues. CONCLUSION: Anlotinib effectively inhibits proliferation and induces apoptosis in MCL both in vitro and in vivo. This inhibition is likely linked to suppressing phosphorylation in the PI3K/Akt/mTOR pathway.

Herombopag for the treatment of persistent thrombocytopenia following hematopoietic stem cell transplantation.

Allogeneic hematopoietic stem cell transplantation (Allo-HSCT) stands as a pivotal treatment for hematologic malignancies, often considered the sole effective treatment option. A frequent complication following allo-HSCT is poor graft function (PGF), with one of its primary manifestations being persistent thrombocytopenia (PT), comprising prolonged isolated thrombocytopenia (PIT) and secondary failure of platelet recovery (SFPR). Conventional treatment methods have had poor efficacy and a high transplantation-associated mortality rate. In recent years, the efficacy of eltrombopag has been reported in the treatment of post-transplantation PT, and additional thrombopoietin receptor agonists (TPO-RA) have been developed. Herombopag is a next-generation TPO-RA which has strong proliferation-promoting effects on human TPO-R-expressing cells (32D-MPL) and hematopoietic progenitor cells in vitro. We reviewed eighteen patients with transplantation-associated thrombocytopenia who received herombopag when eltrombopag was ineffective or poorly tolerated and evaluated its efficacy including effects on survival. Herombopag was administered at a median time of 197 days post-transplantation. Six patients achieved complete response (CR), with a median time to CR of 56 days. Five patients achieved partial response (PR), and the median time to PR was 43 days. Seven patients were considered to have no response (NR). The overall response (OR) rate was 61.1%, and the cumulative incidence (CI) of OR was 90.2%. No patients developed herombopag-associated grade 3-4 toxicity. The median follow-up period was 6.5 months. Twelve patients survived and six patients died, with an overall survival rate of 66.7%. This is the first study to demonstrate the efficacy and safety of herombopag in transplantation-associated thrombocytopenia after failing eltrombopag, introducing a new approach in the treatment of PT following allo-HSCT.

Silencing of PD-1 combined with EBV-specific killer T cells for the treatment of EBV-associated B lymphoma.

Epstein-Barr Virus (EBV) infection is closely associated with the development of lymphoma, as it plays a significant role in the malignant transformation of lymphocytes. The expression of programmed death-1 (PD-1), which binds to PD-L1 in tumor cells, can lead to immune evasion by lymphoma cells and promote tumor progression. In this study, immortalized B lymphoblastoid cell lines (B-LCLs) positive for EBV-specific proteins were established from human peripheral mononuclear cells (PBMCs) using EBV induction along with CpG-ODN 2006 and cyclosporin A. EBV-specific T cells (EBVST) were generated by multiple immunizations of CD3+ T lymphocytes using irradiated B-LCLs. Flow cytometry analysis confirmed the activation of EBVST through the detection of CD3+, CD4+, and CD8+ markers. Co-incubation of EBVST with EBV-positive B lymphocyte cell lines resulted in the secretion of perforin by EBVST, leading to granzyme B-mediated cell death and an increase in LDH levels. Silencing PD-1 in EBVST cells enhanced perforin production, increased granzyme B release, and upregulated cell death in co-incubated B lymphocytes. In a nude mice tumor transplantation model, silencing PD-1 in combination with EBV-specific killer T cells exhibited the maximum inhibition of B-lymphoblastoma. This treatment upregulated the expression of proteins associated with apoptosis and immune response, while inhibiting anti-apoptotic protein expression in tumor tissues. Silencing PD-1 also increased the infiltration of EBV-specific killer T cells in the tumor tissues. Overall, PD-1 silencing enhanced the tumor targeting effect of EBV-specific killer T cells on EBV-infected B lymphocytes and attenuated the immune escape effect mediated by the PD-1 pathway.

Prognostic and immunological characterization of diffuse large B-cell lymphoma evaluated by co-stimulatory molecular-related features.

Background: Co-stimulatory molecules have been shown to enhance antitumor immune responses, but their role in Diffuse Large B-cell Lymphoma (DLBCL) remains unexplored. Methods: This study aimed to explore the molecular typing of DLBCL with co-stimulatory molecule genes and to construct a prognostic profile to improve treatment decisions and clinical outcomes. Results: We conducted the first comprehensive analysis of co-stimulatory molecules in DLBCL patients and identified five co-stimulatory molecule genes with prognostic and diagnostic values. Consensus cluster analysis based on these five co-stimulatory molecule genes revealed that the two identified clusters had different distribution patterns and prognostic differences. Co-stimulatory molecular correlation signatures were then constructed based on these five co-stimulatory molecular genes and validated in an external dataset, showing good performance in predicting patient prognosis. The signature is an independent risk factor for DLBCL patients and significantly correlates with clinical factors in patients and can be used as a complement to clinical factors. Furthermore, the signature was associated with the tumor immune microenvironment. Patients identified as being at high risk according to our signature exhibit high levels of immune cell infiltration microenvironment. Conclusions: In conclusion, our signature can provide clinicians with prognostic predictions and help guide the treatment of patients with DLBCL.

The gut microbiota correlate with the disease characteristics and immune status of patients with untreated diffuse large B-cell lymphoma.

Background: Gut microbiota characteristics in patients with diffuse large B-cell lymphoma (DLBCL) are reportedly different when compared with the healthy population and it remains unclear if the gut microbiota affects host immunity and clinical disease features. This research investigated the gut microbiota in patients with untreated DLBCL and analyzed its correlation with patient clinical characteristics, humoral, and cell immune status. Methods: Thirty-five patients with untreated DLBCL and 20 healthy controls (HCs) were recruited to this study and microbiota differences in stool samples were analyzed by 16S rDNA sequencing. Absolute ratios of immune cell subset counts in peripheral blood were detected by flow cytometry and peripheral blood cytokine levels were detected by enzyme-linked immunosorbent assay. Relationships between changes in patient microbiomes and clinical characteristics, such as clinical stage, international prognostic index (IPI) risk stratification, cell origin, organ involved and treatment responses were investigated and correlations between differential microbiota and host immune indices were analyzed. Results: The alpha-diversity index of intestinal microecology in DLBCL patients was not significantly different when compared with HCs (P>0.05), nonetheless beta-diversity was significantly decreased (P=0.001). p_Proteobacteria were dominant in DLBCL, while p_Bacteroidetes abundance was significantly decreased when compared with HCs (P<0.05). Gut microbiota characteristics were identified that were associated with clinical features, such as tumor load, risk stratification and cell origin, and correlation analyses were performed between differential flora abundance associated with these clinical features and host immune status. The p_Firmicutes was positively correlated with absolute lymphocyte values, g_Prevotella_2 and s_un_g_Prevotella_2 were negatively correlated with absolute lymphocyte values, T cell counts and CD4 cell counts, while g_Pyramidobacter, s_un_g_Pyramidobacter, and f_Peptostreptococcaceae were negatively correlated with IgA. Conclusions: Dominant gut microbiota, abundance, diversity, and structure in DLBCL were influenced by the disease, correlated with patient immune status and this suggested that the microecology-immune axis may be involved in regulating lymphoma development. In the future, it may be possible to improve immune function in patients with DLBCL by regulating the gut microbiota, improve treatment response rates and increase patient survival rates.

Survival prediction in acute myeloid leukemia using gene expression profiling.

BACKGROUND: Acute myeloid leukemia (AML) is a genetically heterogeneous blood disorder. AML patients are associated with a relatively poor overall survival. The objective of this study was to establish a machine learning model to accurately perform the prognosis prediction in AML patients. METHODS: We first screened for prognosis-related genes using Kaplan-Meier survival analysis in The Cancer Genome Atlas dataset and validated the results in the Oregon Health & Science University dataset. With a random forest model, we built a prognostic risk score using patient's age, TP53 mutation, ELN classification and normalized 197 gene expression as predictor variable. Gene set enrichment analysis was implemented to determine the dysregulated gene sets between the high-risk and low-risk groups. Similarity Network Fusion (SNF)-based integrative clustering was performed to identify subgroups of AML patients with different clinical features. RESULTS: The random forest model was deemed the best model (area under curve value, 0.75). The random forest-derived risk score exhibited significant association with shorter overall survival in AML patients. The gene sets of pantothenate and coa biosynthesis, glycerolipid metabolism, biosynthesis of unsaturated fatty acids were significantly enriched in phenotype high risk score. SNF-based integrative clustering indicated three distinct subsets of AML patients in the TCGA cohort. The cluster3 AML patients were characterized by older age, higher risk score, more frequent TP53 mutations, higher cytogenetics risk, shorter overall survival. CONCLUSIONS: The random forest-based risk score offers an effective method to perform prognosis prediction for AML patients.

Effects of physical activity on clinical and inflammatory markers in diagnosing multiple myeloma patients.

Multiple myeloma (MM) is the second most common hematological disorder. Although several drugs have been developed to treat MM, their efficacy is uncertain. In addition, how normal physical activities can decrease inflammatory responses and clinical biomarkers in MM patients needs to be better defined. Therefore, this study evaluated possible clinical and inflammatory markers to determine the early diagnosis of MM during physical activity. This study selected 30 MM patients with normal or no physical activity with ages of >50 years. This study did not require any specific exercise protocols other than noting patients' daily life activities and considering them as physical activity for 17 days. Then, blood samples were collected to assess clinical and inflammatory markers. Regarding clinical markers, daily life activities in MM patients decreased their LDH, calcium, and ß2-microglobulin levels significantly compared to other clinical biomarkers such as creatine and total protein. Further, this study observed no significant differences between daily life activities of MM patients and normal MM patients regarding levels of immunoglobulins except IgM. Furthermore, IL-6 level was significantly increased with the daily life activities of MM patients, suggesting the role of physical activities in increasing anti-inflammatory response along with altering the biochemical profiles including LDH, calcium and ß2-microglobulin in MM patients.

Next-generation sequencing technology for diagnosis and efficacy evaluation of a patient with visceral leishmaniasis: A case report.

BACKGROUND: Visceral leishmaniasis (VL) is a parasitic disease caused by Leishmania and transmitted by infected sand flies. VL has a low incidence in China, and its clinical presentation is complex and atypical. This disease is easily misdiagnosed and can become life-threatening within a short period of time. Therefore, early, rapid and accurate diagnosis and treatment of the disease are essential. CASE SUMMARY: A 25-year-old male patient presented with the clinical manifestations of irregular fever, hepatosplenomegaly, increased polyclonal globulin, and pancytopenia. The first bone marrow puncture biopsy did not provide a clear diagnosis. In order to relieve the pressure and discomfort of the organs caused by the enlarged spleen and to confirm the diagnosis, splenectomy was performed, and hemophagocytic syndrome was diagnosed by pathological examination of the spleen biopsy. Following bone marrow and spleen pathological re-diagnosis and metagenomic next-generation sequencing (mNGS) technology detection, the patient was finally diagnosed with VL. After treatment with liposomal amphotericin B, the body temperature quickly returned to normal and the hemocytes recovered gradually. Post-treatment re-examination of the bone marrow puncture and mNGS data showed that Leishmania was not detected. CONCLUSION: As a fast and accurate detection method, mNGS can diagnose and evaluate the efficacy of treatment in suspicious cases of leishmaniasis.

A Novel 85-Gene Expression Signature Predicts Unfavorable Prognosis in Acute Myeloid Leukemia.

AIM: Acute myeloid leukemia (AML) is a heterogeneous disorder with complex genetic basis and adverse prognosis. Cytogenetics risk, somatic mutations and gene expression profiles are important prognostic factors for AML patients. However, accurate stratification of patient prognosis remains an unsolved problem in AML. This study was to to develop a novel gene profile to accurately classify AML patients into subgroups with different survival probabilities. METHODS: Survival-related genes were determined by Kaplan-Meier survival analysis and multivariate analysis using the expression and clinical data of 405 AML patients from Oregon Health & Science University (OHSU) dataset and validated in The Cancer Genome Atlas (TCGA) database. Feature selection was performed by using the Least Absolute Shrinkage and Selection Operator (LASSO) method. With the LASSO model, a prognostic 85-gene score was established and compared with 2 known gene-expression risk scores. The stratification of AML patients was performed by unsupervised hierarchical clustering of 85 gene expression levels to identify clusters of AML patients with different survival probabilities. RESULTS: The LASSO model comprising 85 genes was considered as the optimal model based on relatively high area under curve value (0.83) and the minimum mean squared error. The 85-gene score was associated with increased mortality in AML patients. Hierarchical clustering analysis of the 85 genes revealed 3 subgroups of AML patients in the OHSU dataset. The cluster1 AML patients were associated with more female cases, higher percent of bone marrow blast cells, 85-gene score, cytogenetics risk, more frequent FLT3-ITD, DNMT3A, NP1 mutations, less frequent TP53, RUNX1 mutations, poorer overall survival than cluster2 tumors. The 85-gene score had higher AUC (0.75) than the 5-gene risk score and LSC17 score (0.74 and 0.65). CONCLUSIONS: The 85-gene score is superior to the 2 established prognostic gene signatures in the prediction of prognosis of AML patients.

Novel prognostic genes and subclasses of acute myeloid leukemia revealed by survival analysis of gene expression data.

BACKGROUND: Acute myeloid leukemia (AML) is biologically heterogeneous diseases with adverse prognosis. This study was conducted to find prognostic biomarkers that could effectively classify AML patients and provide guidance for treatment decision making. METHODS: Weighted gene co-expression network analysis was applied to detect co-expression modules and analyze their relationship with clinicopathologic characteristics using RNA sequencing data from The Cancer Genome Atlas database. The associations of gene expression with patients' mortality were investigated by a variety of statistical methods and validated in an independent dataset of 405 AML patients. A risk score formula was created based on a linear combination of five gene expression levels. RESULTS: The weighted gene co-expression network analysis detected 63 co-expression modules. The pink and darkred modules were negatively significantly correlated with overall survival of AML patients. High expression of FNDC3B, VSTM1 and CALR was associated with favourable overall survival, while high expression of PLA2G4A was associated with adverse overall survival. Hierarchical clustering analysis of FNDC3B, VSTM1, PLA2G4A, GOLGA3 and CALR uncovered four subgroups of AML patients. The cluster1 AML patients showed younger age, lower cytogenetics risk, higher frequency of NPM1 mutations and more favourable overall survival than cluster3 patients. The risk score was demonstrated to be an indicator of adverse prognosis in AML patients CONCLUSIONS: The FNDC3B, VSTM1, PLA2G4A, GOLGA3, CALR and risk score may serve as key prognostic biomarkers for the stratification and ultimately guide rational treatment of AML patients.

[Effects of Dasatinib on the Expansion, Subsets, Receptor Expression and Cytotoxic Function of NK Cells in Vitro].

OBJECTIVE: To investigate the effect of dasatinib on the expansion of NK cells in vitro, as well as the subsets, receptor expression and cytotoxic function of NK cells. METHODS: Peripheral blood mononuclear cells (PBMCs) were isolated from healthy adult volunteers and cultured with SCGM added IL-2 and IL-15 for expansion of NK cells. In this culture system, dasatinib of different concentrations were added. Cell counting and phenotyping by flow cytometry were used to evaluate the amplification efficiency of NK cells. FCM was used to detect the expression of receptors on the surface of NK cells and the distribution of subsets. Subsequently, degranulation assay and CFSE/7AAD based cytotoxicity assay were used to detect the effects of dasatinib on NK cytotoxicity against leukemia cell line K562 cells. RESULTS: The expansion efficiency of NK cells in vitro could be increased by dasatinib at the concentration range of 5-50 nmol/L, and the expansion efficiency of NK cells reached the peak at 20 nmol/L of dasatinib. The NK cytotoxicity against K562 cells in dasatinib cultured group at the concentration of 20 nmol/L was significantly higher than that in control group. For the cells cultured by disatinib in vitro, the MFI of CD226, NKP46 and NKG2D was up-regulated; the ratio of NKG2A+CD57- subset was down-regulated, while the ratio of NKG2A-CD57+ subset was up-regulated.The degranulation response of NKG2A-CD57+ NK cells to K562 cells was stronger than that of NKG2A+CD57- NK cells. CONCLUSION: The results shows that appropriate dose of dasatinib(20 nmol/L) can increases the amplification efficiency of NK cells, simultaneously up-regulates the expression of NK activating receptors and increases the NKG2A-CD57+ subset, which lead to the enhancement of NK cytotoxicty against leukemia cell lines.

Cytotoxicity of Donor Natural Killer Cells to Allo-Reactive T Cells Are Related With Acute Graft-vs.-Host-Disease Following Allogeneic Stem Cell Transplantation.

Objectives: The mechanism and immunoregulatory role of human natural killer (NK) cells in acute graft-vs.-host-disease (aGVHD) remains unclear. This study quantitatively analyzed the cytotoxicity of donor NK cells toward allo-reactive T cells, and investigated their relationship with acute GVHD (aGVHD). Methods: We evaluated NK dose, subgroup, and receptor expression in allografts from 98 patients who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). A CD107a degranulating assay was used as a quantitative detection method for the cytotoxic function of donor NK cells to allo-reactive T cells. In antibody-blocking assay, NK cells were pre-treated with anti-DNAM-1(CD226), anti-NKG2D, anti-NKP46, or anti-NKG-2A monoclonal antibodies (mAbs) before the degranulating assay. Results: NK cells in allografts effectively inhibited auto-T cell proliferation following alloantigen stimulation, selectively killing alloantigen activated T cells. NKG2A- NK cell subgroups showed higher levels of CD107a degranulation toward activated T cells, when compared with NKG2A- subgroups. Blocking NKG2D or CD226 (DNAM-1) led to significant reductions in degranulation, whereas NKG2A block resulted in increased NK degranulation. Donor NK cells in the aGVHD group expressed lower levels of NKG2D and CD226, higher levels of NKG2A, and showed higher CD107a degranulation levels when compared with NK cells in the non-aGVHD group. Using univariate analysis, higher NK degranulation activities in allografts (CD107ahigh) were correlated with a decreased risk in grade I-IV aGVHD (hazard risk [HR] = 0.294; P < 0.0001), grade III-IV aGVHD (HR = 0.102; P < 0.0001), and relapse (HR = 0.157; P = 0.015), and improved overall survival (HR = 0.355; P = 0.028) after allo-HSCT. Multivariate analyses showed that higher NK degranulation activities (CD107ahigh) in allografts were independent risk factors for grades, I-IV aGVHD (HR = 0.357; P = 0.002), and grades III-IV aGVHD (HR = 0.13; P = 0.009). Conclusions: These findings reveal that the degranulation activity of NK in allografts toward allo-activated T cells was associated with the occurrence and the severity of aGVHD, after allogeneic stem cell transplantation. This suggested that cytotoxicity of donor NK cells to allo-reactive T cells have important roles in aGVHD regulation.

The Solute Carrier Family 2 Genes Are Potential Prognostic Biomarkers in Acute Myeloid Leukemia.

AIMS: The solute carrier family 2 (SLC2) genes are comprised of 14 members which are essential for the maintenance of glucose uptake and survival of tumour cells. This study was performed to investigate the associations of SLC2 family gene expression with mortality in acute myeloid leukemia (AML). METHODS: Clinical features and SLC2 family gene expression data were obtained from The Cancer Genome Atlas and Gene Expression Omnibus database. The associations between SLC2 family gene expression and clinicopathologic features were analyzed using linear regression model. Kaplan-Meier survival, univariate, multivariate survival analyses and validation analysis were performed to analyze the associations between SLC2 family gene expression and patients' overall survival. RESULTS: Patient mortality was positively associated with age and cytogenetic risk in AML patients. Kaplan-Meier survival analysis suggested that patients with high SLC2A5 and SLC2A10 expression showed poorer survival than those with low SLC2A5 and SLC2A10 expression. In contrast, patients with high SLC2A13 expression exhibited better prognosis than those with low SLC2A13 expression (P < 0.05 for all cases, log rank test). Multivariate survival analysis and validation analysis confirmed that high expression of SLC2A5 and SLC2A10 and low expression of SLC2A13 were associated with increased mortality (P = 0.00, Odd ratio [OR]:4.05, 95% Confidence Interval [CI]: 1.73-10.22; P = 0.00, OR: 3.66, 95% CI: 1.54-9.25; and P = 0.01, OR: 0.26, 95% CI: 0.09-0.68, respectively). CONCLUSION: SLC family gene expression, such as SLC2A5, SLC2A10 and SLC2A13, was significantly associated with prognosis of AML patients, their expression levels might become useful prognostic biomarkers in AML.

[Gene KIR in match with HLA-Cw impacts on NK cell cytotoxicity].

The aim of this study was to investigate how the killer immune globulin-like inhibition receptor (KIR) in match with HLA-Cw impacts on NK cell activity. Mononuclear cells were isolated in 20 ml peripheral blood from 27 healthy persons by Ficoll-Hypaque and purified by NK cell isolation kit. Target cells were mononuclear cells isolated from bone marrow of 30 de novo AML patients. The KIR expression were detected by flow cytometry with antibodies against CD158a, CD158b. The 2 ml of peripheral blood from healthy persons and AML patients were collected, the DNA was extracted by using PROTRANS method, the HLA-Cw and KIR gene were detected by PCR-SSP typing with sequence specific primers. The NK cell cytotoxicity against AML cells was determined by MTT after combination of KIR with HLA-Cw gene. The results indicated that the purity of NK cells was (90.8 +/- 6.08)%. The less the KIR/HLA-Cw matched, the more activity was shown in NK cells. When no match of NK cell/target cell (KIR/HLA-Cw) there was, the cytotoxicity was (50.66 +/- 8.40)%, 1 or 2 matches showed cytotoxicity of (38.28 +/- 6.71)% and (19.74 +/- 4.15)% (p < 0.001). Expression level of KIRs on NK cells also was related with cytotoxicity level (p < 0.001). It is concluded that the interaction between inhibitory KIR and HLA ligands, and also expression level of KIRs on NK cells both impact significantly on NK cell function, that the less match of KIR/HLA-Cw, and the less expression of KIRs on NK cells result in the stronger NK cell cytotoxicity.