[Effect of Baicalin on Pyroptosis of Diffuse Large B-Cell Lymphoma Cell Lines DB and Its Mechanism].

OBJECTIVE: To investigate the effect of Baicalin on the proliferation and pyroptosis of diffuse large B-cell lymphoma cell line DB and its mechanism. METHODS: DB cells were treated with baicalin at different concentrations (0, 5, 10, 20, 40 µmol/L). Cell proliferation was detected by CCK-8 assay and half maximal inhibitory concentration (IC50) was calculated. The morphology of pyroptosis was observed under an inverted microscope, the integrity of the cell membrane was verified by LDH content release assay, and the expressions of pyroptosis-related mRNA and protein (NLRP3, GSDMD, GSDME, N-GSDMD, N-GSDME) were detected by real-time fluorescence quantitative PCR and Western blot. In order to further clarify the relationship between baicalin-induced pyroptosis and ROS production in DB cells, DB cells were divided into control group, baicalin group, NAC group and NAC combined with baicalin group. DB cells in the NAC group were pretreated with ROS inhibitor N-acetylcysteine (NAC) 2 mmol/L for 2 h. Baicalin was added to the combined treatment group after pretreatment, and the content of reactive oxygen species (ROS) in the cells was detected by DCFH-DA method after 48 hours of culture. RESULTS: Baicalin inhibited the proliferation of DB cells in a dose-dependent manner (r=-0.99), and the IC50 was 20.56 µmol/L at 48 h. The morphological changes of pyroptosis in DB cells were observed under inverted microscope. Compared with the control group, the release of LDH in the baicalin group was significantly increased (P<0.01), indicating the loss of cell membrane integrity. Baicalin dose-dependently increased the expression levels of NLRP3, N-GSDMD, and N-GSDME mRNA and protein in the pyroptosis pathway (P<0.05). Compared with the control group, the level of ROS in the baicalin group was significantly increased (P<0.05), and the content of ROS in the NAC group was significantly decreased (P<0.05). Compared with the NAC group, the content of ROS in the NAC + baicalin group was increased. Baicalin significantly attenuated the inhibitory effect of NAC on ROS production (P<0.05). Similarly, Western blot results showed that compared with the control group, the expression levels of pyroptosis-related proteins was increased in the baicalin group (P<0.05). NAC inhibited the expression of NLRP3 and reduced the cleavage of N-GSDMD and N-GSDME (P<0.05). Compared with the NAC group, the NAC + baicalin group had significantly increased expression of pyroptosis-related proteins. These results indicate that baicalin can effectively induce pyroptosis in DB cells and reverse the inhibitory effect of NAC on ROS production. CONCLUSION: Baicalin can inhibit the proliferation of DLBCL cell line DB, and its mechanism may be through regulating ROS production to affect the pyroptosis pathway.

A pairwise radiomics algorithm-lesion pair relation estimation model for distinguishing multiple primary lung cancer from intrapulmonary metastasis.

Background: Distinguishing multiple primary lung cancer (MPLC) from intrapulmonary metastasis (IPM) is critical for their disparate treatment strategy and prognosis. This study aimed to establish a non-invasive model to make the differentiation pre-operatively. Methods: We retrospectively studied 168 patients with multiple lung cancers (307 pairs of lesions) including 118 cases for modeling and internal validation, and 50 cases for independent external validation. Radiomic features on computed tomography (CT) were extracted to calculate the absolute deviation of paired lesions. Features were then selected by correlation coefficients and random forest classifier 5-fold cross-validation, based on which the lesion pair relation estimation (PRE) model was developed. A major voting strategy was used to decide diagnosis for cases with multiple pairs of lesions. Cases from another institute were included as the external validation set for the PRE model to compete with two experienced clinicians. Results: Seven radiomic features were selected for the PRE model construction. With major voting strategy, the mean area under receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of the training versus internal validation versus external validation cohort to distinguish MPLC were 0.983 versus 0.844 versus 0.793, 0.942 versus 0.846 versus 0.760, 0.905 versus 0.728 versus 0.727, and 0.962 versus 0.910 versus 0.769, respectively. AUCs of the two clinicians were 0.619 and 0.580. Conclusions: The CT radiomic feature-based lesion PRE model is potentially an accurate diagnostic tool for the differentiation of MPLC and IPM, which could help with clinical decision making.

[Regulation of Baicalin on Growth of Extranodal NK/T Cell Lymphoma Cells through FOXO3/CCL22 Signaling Pathway].

OBJECTIVE: To investigate the effect of baicalin on the growth of extranodal NK/T cell lymphoma (ENKTCL) cells and its related mechanism. METHODS: Normal NK cells and human ENKTCL cells lines SNK-6 and YTS were cultured, then SNK-6 and YTS cells were treated with 5, 10, 20 µmol/L baicalin and set control. Cell proliferation and apoptosis was detected by Edu method and FCM method, respectively, and expressions of BCL-2, Bax, FOXO3 and CCL22 proteins were detected by Western blot. Interference plasmids were designed and synthesized. FOXO3 siRNA interference plasmids and CCL22 pcDNA overexpression plasmids were transfected with PEI transfection reagent. Furthermore, animal models were established for validation. RESULTS: In control group and 5, 10, 20 µmol/L baicalin group, the proliferation rate of SNK-6 cells was (56.17±2.96)%, (51.92±4.63)%, (36.42±1.58)%, and (14.60±2.81)%, respectively, while that of YTS cells was (58.85±2.98)%, (51.38±1.32)%, (34.75±1.09)%, and (15.45±1.10)%, respectively. In control group and 5, 10, 20 µmol/L baicalin group, the apoptosis rate of SNK-6 cells was (5.93±0.74)%, (11.78±0.34)%, (28.46±0.44)%, and (32.40±0.37)%, respectively, while that of YTS cells was (7.93±0.69)%, (16.29±1.35)%, (33.91±1.56)%, and (36.27±1.06)%, respectively. Compared with control group, the expression of BCL-2 protein both in SNK-6 and YTS cells decreased significantly (P<0.001), and the expression of Bax protein increased in SNK-6 cells only when the concentration of baicalin was 20 µmol/L (P<0.001), while that in YTS cells increased in all three concentrations(5, 10, 20 µmol/L) of baicalin (P<0.001). The expression of FOXO3 protein decreased while CCL22 protein increased in ENKTCL cell lines compared with human NK cells (P<0.001), but the expression of FOXO3 protein increased (P<0.01) and CCL22 protein decreased after baicalin treatment (P<0.001). Animal experiments showed that baicalin treatment could inhibit tumor growth. The expression of CCL22 protein in ENKTCL tissue of nude mice treated with baicalin decreased compared with control group (P<0.01), while the FOXO3 protein increased (P<0.05). In addition, FOXO3 silencing resulted in the decrease of FOXO3 protein expression and increase of CCL22 protein expression (P<0.01, P<0.001). CONCLUSION: Baicalin can inhibit proliferation and promote apoptosis of ENKTCL cell lines SNK-6 and YTS, up-regulate the expression of Bax protein, down-regulate the expression of BCL-2 protein, and down-regulate the expression of CCL22 protein mediated by FOXO3. Animal experiment shown that the baicalin can inhibit tumor growth. Baicalin can inhibit the growth and induce apoptosis of ENKTCL cells through FOXO3/CCL22 signaling pathway.

[Correlation between ALIP-like cluster and fibrous proliferation in bone marrow of patients with acute myeloid leukemia in CR phase].

This study was purposed to elucidate the prognostic values of ALIP (abnormal location of immature precursors)-like clusters and fibrous proliferation in bone marrow of AML patients in CR phase and the correlation between them. The bone marrow biopsy sections from 47 AML patients during admitting to relapse or till lost follow-up were examined retrospectively. The 47 patients were divided into pre-relapsed group and non-relapsed group according to relapse or not at end of follow-up. The concentration of ALIP-like cluster and reticulin fiber density (RFD) in sections were compared between the two groups respectively, the prognostic value of these two factors and the underlying relationship between them were estimated by statistical analysis. The results showed that ALIP-like cluster was (3.46 ± 2.71)/mm(2) during CR and RFD was (2.76% ± 1.50%) in pre-relapsed cases, which both were higher than those in non-relapsed cases (P < 0.05). Cases with ALIP-like cluster over 4/mm(2) or with RFD>1.68% showed high relapse rates of 89.5% or 95.2% respectively. RFD were (2.47% ± 2.48%) and (2.44% ± 2.23%) in cases with >4/mm(2) or ≤ 4/mm(2) respectively, there was no statistical significance (P > 0.05) . Meanwhile, the amount of ALIP-like cluster in CR not related with the paired RFD (r = 0.057, P > 0.05). It is concluded that both ALIP-like cluster in CR and RFD are poor prognostic factors for heralding early relapse. However, ALIP-like cluster and RFD show no correlation, and suggest that forming of ALIP not depends on fibrogenesis.

[Real-time reverse-transcriptase polymerase chain reaction in monitoring BCR/ABL transcript levels in chronic myeloid leukemia patients after allogeneic hematopoietic stem cells transplantation].

OBJECTIVE: To monitor the gene expression of BCR/ABL in chronic myeloid leukemia patients after allogeneic hematopoietic stem cells transplantation with real-time RT-PCR for evaluating therapeutic efficacy and guiding further treatment. METHODS: Taqman real-time RT-PCR technique was performed to monitor peripheral blood BCR/ABL transcript levels in 10 patients at the time of diagnosis and serially at intervals in 25 patients after allogeneic hematopoietic stem cells transplantation. beta-actin mRNA was used as an endogenous reference. RESULTS: The sensitivity of real-time RT-PCR was 10 copies/microl. In 15 patients receiving transplantation, the median of N(BCR/ABL) (%) before transplantation, 1 month after transplantation and 2 months after transplantation was respectively: 6.57 (0.14 - 38.83), 0.10 (0 - 1.71) and 0 (0 - 0.52). 3 months later N(BCR/ABL) (%) all turned to 0. BCR/ABL transcripts after transplantation were detected to decrease gradually. N(BCR/ABL) (%) 1 month after transplantation and 2 months after transplantation was both lower than that before transplantation (chi(2) both = 13.07, P < 0.01). N(BCR/ABL) (%) at 2 months after transplantation was lower than that at 1 month after transplantation (chi(2) = 8.10, P < 0.01). In 10 other patients, N(BCR/ABL) (%) was 0 in consecutive tests from 3 to 43 months after transplantation. CONCLUSION: Real-time RT-PCR is sensitive, reliable and reproducible for monitoring CML relapse after transplantation. It is of help in detecting minimal residual disease, predicting the prognosis of the disease and providing practical indications for further treatment.