Gastritis, Hypertrophic ; Humans

Background and purpose:It was reported that erythropoietin may directly or indirectly induce the tumor cells to proliferate and result in diseases progression when recombinant human erythropoictin is used clinically in cancer-related anemia.Recently,the expression of erythropoietin-receptor(Epo-R)was detected in breast cancer.This study was done to detect the expression of Epo-R,estrogen receptor(ER),progesterone receptor(PR)and human epidermal growth factor receptor 2(Her-2)in breast cancer,and to investigate the relationships between these indexes and the clinical significance.Methods:Sixty breast cancer patients were analyzed,the expression of Epo-R and microvascular density(MVD)were detected by immunohistochernistry,in order to clarify the relationships between the expression level of Epo-R,MVD and ER,PR,Her-2.Results:The rate of Epo-R expression was 78.3%,the mean number of positive tumor cells was 39±24,while the tissue MVD was 25±9.The expression level of Epo-R was positively correlated with the MVD.Also,the level of MVD was higher in the group of Epo-R positive than the negative,which has significant difference(t=3.4252,P＜0.001).The expression level of ER,PR has no definite relationships with Epo-R,MVD.The expression level of Her-2 was both closely associated with Epo-R,MVD.The expression level of Epo-R has an obvious relationship with clinical stage,lymph node status and the size(P＜0.001).The value of MVD was positively correlated with lymph node status,while not with clinical stage and the size.Conclusion:The expression level of Epo-R was markedly higher in breast cancer,and has a positive correlation with the tissue MVD.The expression level of Epo-R and MVD were significantly associated with Her-2,but not with ER and PR.It may contribute to clarifying the clinicopathological characteristics and prognosis of breast cancer by detecting both the expression level of Epo-R and MVD.

Objective To investigate effect of peripheral blood miR-21 expression on the clinicopathological features of gastric cancer before and after gastric surgery.Methods The peripheral blood was collected on the operative day and postoperative 7 d in 42 patients with primary gastric cancer surgery.The real-tine quantitative PCR was adopted to detect the relative expression of miR-21 in plasma with U6 as an internal reference gene.Results The plasma miR-21 expression level after gastric cancer operation was significantly down-regulated compared with before operation(P <0.01),the overall relative expression level was dropped by an average of 18.2 times;and it was found that the postoperative miR-21 expression in the patients with the tumor family history was up-regulated,the postoperative plasma miR-21 expression in the patients without the tumor family history was decreased by 22 times compared with before operation(P <0.05);the experimental results also fund that as the patient′s differentiation degree was changed from high to low,the lymph node metastasis rate was gradually increased,while postoperative average miR-21 expression was changed from low to high,showing the relative expression times of miR-21 were distributed in the four differentiated zones of high,middle,middle-low and low,which showed the correlation with the distribution of the lymph node metastasis rate in these four differentiation zones.Conclusion The peripheral blood MiR-21 detection has the clinical significance to early auxiliary diagnosis and the judgement of postoperative malignant degree.

Objective:To establish and validate a nomogram model for early prediction of the risk of acute pancreatitis (AP) progressing to severe acute pancreatitis (SAP).Methods:CT signs and clinical laboratory parameters of 361 AP patients admitted to our Hospital from January 2016 to July 2022 were retrospectively collected. There were 221 males (61.2%) and 140 females (38.8%). According to the Atlantic score, all patients were divided into the SAP group (64 cases) and the non-SAP (NSAP) group (297 cases). Univariate analysis was used to screen out variables with statistically significant differences. Multivariate Logistic regression analysis was used to screen out the independent risk factors of SAP, and finally a nomogram prediction model was established. Receiver operating characteristic (ROC) curve, calibration curve and decision curve (DCA) were used to evaluate the predictive efficacy, accuracy and clinical practicability of the model, and Bootstrap method was used to verify the model internally.Results:Univariate analysis and multivariate Logistic regression analysis showed that pleural effusion ( OR=7.353, 95% CI: 3.344-16.170), posterior pararenal space (PPS) involvement ( OR=3.149, 95% CI: 1.314-7.527), serum creatinine concentration (Cr) ( OR=1.027, 95% CI: 1.017-1.038) and serum calcium concentration (Ca 2+) ( OR=0.038, 95% CI: 0.009-0.166) were independent risk factors for SAP ( P<0.05). A Nomogram model was established based on these four factors. The area under the ROC curve (AUC) of this model was 0.905 (95% CI: 0.869-0.933), indicating high predictive efficiency. Internal verification showed that the model had good accuracy in predicting SAP, and C-index was 0.90. DCA analysis showed that the model had high clinical practicability. Conclusions:The Nomogram model combining pleural effusion, PPS involvement, Cr and Ca 2+ had a good effect on early prediction of SAP, which could provide a new reference tool for clinical diagnosis and treatment.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To analyze the molecular mechanism of Zhenqi Fuzheng Capsules in the adjuvant treatment of AIDS by network pharmacology method and molecular docking technology.Methods:The active components and targets of Zhenqi Fuzheng Capsules were obtained through TCMSP, and the AIDS-related targets were obtained through GeneCards, OMIM and DrugBank databases. The intersection target PPI network was constructed through STRING 11.5 database, and Cytoscape 3.9.1 software was used for network topology analysis; Metascape database was used for GO function and KEGG pathway enrichment analysis of core targets; Cytoscape 3.9.1 was used to construct Zhenqi Fuzheng Capsules component-target-pathway network; Autodock Tools software was used to carry out molecular docking of core targets and active components.Results:Totally 31 active components and 180 targets of Zhenqi Fuzheng Capsules were screened out. TNF, IL6, AKT1, IL1B, TP53, VEGFA, RELA, EGFR and CASP3 were identified as the core targets. GO functional enrichment analysis obtained 1 436 biological processes, 53 cellular components, and 117 molecular functions. KEGG pathway enrichment analysis obtained 167 pathways, which were related to pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, and IL-17 signaling pathway was closely related. Molecular docking results showed that core targets such as AKT1 and TNF had good binding activity to quercetin, kaempferol, and luteolin.Conclusion:The main active components of Zhenqi Fuzheng Capsules in the adjuvant treatment of AIDS are quercetin, kaempferol and luteolin, which may treat AIDS through the IL-17 signaling pathway.