ObjectiveTo establish a tumor prognostic risk assessment model related to target genes of the miR-34 family. MethodsTarget genes of the miR-34 family were screened， and the scores of miR-34 target genes were assessed in 16 tumor types. Univariate Cox regression analysis was used to identify the tumor type with the strongest correlation between miR-34 target gene scores and overall survival （OS）. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） analyses were performed to elucidate the functional roles and signaling pathways of miR-34 target genes. A prognostic risk model based on the miR-34 target genes was constructed using univariate Cox and LASSO regression analyses. Quantitative real-time PCR （qPCR） and dual-luciferase reporter assays were conducted to validate whether the target genes bind to miR-34 and measure their RNA expression levels in the relevant tumors. Additionally， the risk score was integrated with other clinical indicators to develop a nomogram prediction model for patient survival. ResultsA total of 65 target genes of the miR-34 family were screened. The cancer type exhibiting stronger correlation between the target gene scores and OS was lung adenocarcinoma （P = 0.003， HR= 5.150）. Furthermore， miR-34 target genes were predominantly enriched in oxidative stress pathways and various tumor-related processes. Three genes， LDHA， GALNT7， and SATB2， were identified as core components of the prognostic analysis model for lung adenocarcinoma. Additionally， the constructed nomogram model demonstrated robust predictive performance. ConclusionThe risk model and prognosis model of lung adenocarcinoma constructed based on the key target genes of miR-34 have good predictive performance.

Objective: To investigate the mechanism of miR-224-5p on proliferation, apoptosis, invasion and migration of human hepatocellular carcinoma HepG2 cells. Methods : The RNA expression levels of miR-224-5p and early growth responsive gene 2(EGR2) in patients with hepatocellular carcinoma were obtained from the TCGA dataset. Normal human hepatocytes LO2 and hepatoma cells HepG2 were cultured in vitro, and the HepG2 cells were transfected with lentiviral vectors(knockdown of miR-224-5p), small interfering RNA fragments or overexpression vectors(interference and overexpression of EGR2). The expression levels of miR-224-5p and EGR2 in hepatocellular carcinoma cDNA chips and cells were detected by quantitative real-time PCR(qPCR). The expression level of EGR2 protein was detected by Western blot. Dual luciferase reporter gene assay was used to detect the binding of miR-224-5p to EGR2. HepG2 cells positive rate were detected by EdU assay, apoptosis rate was detected by flow cytometry, cell invasion number was detected by Transwell assay, and cell mobility was detected by scratch assay. Results : Compared with paracancerous tissues, the expression of miR-224-5p was increased and the expression of EGR2 mRNA decreased in HCC tissues. Compared with LO2 group, the expression of miR-224-5p in HepG2 cells increased, and the expression of EGR2 mRNA and protein decreased. Compared with the Lv-sh-NC group, the 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in the Lv-sh-miR-224-5p group decreased, while the apoptosis rate increased. Compared with Oe-NC group, 24 h EdU positive cell rate, cell invasion number, and 48 h cell mobility of HepG2 cells in Oe-EGR2 group decreased, while apoptosis rate increased. Compared with Lv-sh-NC group, the expression of EGR2 protein in Lv-sh-miR-224-5p group increased. Compared with Lv-sh-miR-224-5p+si-NC group, 24 h EdU positive cell rate, cell invasion rate, and 48 h cell mobility of HepG2 cells in Lv-sh-miR-224-5p+si-EGR2 group increased, while apoptosis number decreased. Conclusion miR-224-5p can promote proliferation, invasion, and migration of HepG2 cells and inhibit apoptosis via binding with EGR2.

Objective:To investigate the clinical value of adjuvant therapy after conversion resection for pancreatic cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 173 patients with pancreatic cancer who underwent surgical resection after neoadjuvant and/or induction therapy in The First Affiliated Hospital of Naval Medical University from January 2019 to December 2021 were collected. There were 107 males and 66 females, aged (59±9)years. Observation indicators: (1) comparison of clinicopathological data between patients with and without adjuvant therapy after conversion resection for pancreatic cancer; (2) analysis of influencing factors for prognosis of pancreatic cancer after conversion resection; (3) follow-up and prognosis; (4) survival benefit of adjuvant therapy in subgroup populations. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the non-parameter rank sum test. The Graphpad prism 8 software was used to draw survival curves, the Kaplan-Meier method was used to calculate survival time and survival rates, and the Log-Rank test was used for survival analysis. The COX proportional hazards regression model was used for univariate and multivariate analyses. Interaction analysis was used to determine the benefit of adjuvant therapy in subgroup populations. Results:(1) Comparison of clinicopathological data between patients with and without adjuvant therapy after conversion resection for pancreatic cancer. Of the 173 pancreatic cancer patients, there were 108 cases with adjuvant therapy after conversion resection and 65 cases without adjuvant therapy after conversion resection, respectively. Age and body mass index were (58±9)years and (23.2±2.8)kg/m 2 in patients with adjuvant therapy, versus (61±8)years and (22.2±2.8)kg/m 2 in patients without adjuvant therapy, showing significant differences in the above indicators between them ( t=-2.036, 2.200, P<0.05). (2) Analysis of influencing factors for prognosis of pancreatic cancer after conversion resection. Results of multivariate analysis showed that CA19-9 normalization, pathological N staging, degree of tumor differentiation and postoperative adjuvant therapy were independent factors influencing overall survival time in pancreatic cancer patients receiving conversion resection ( hazard ratio=1.598, 1.541, 2.004, 2.571, 95% confidence interval as 1.041-2.453, 1.021-2.327, 1.288-3.118, 1.721-3.843, P<0.05). (3) Follow-up and prognosis. All 173 patients were followed up for 24.5(5.0,52.0)months. The postoperative median overall survival time of 173 patients was 28.9(5.7,51.9)months, and the 1-, 2-, 3-year overall survival rates were 90%, 59%, 40%, respectively. Of 2019, 2020, 2021, the proportions of patients receiving adjuvant therapy after conversion resection were 62.8%(27/43), 57.7%(30/52) and 65.4%(51/78) respectively. The postoperative median overall survival time was 42.2(8.8,49.7)months in patients with adjuvant therapy after conversion resection, versus 20.4(5.7,51.9)months in patients without adjuvant therapy after conversion resection, showing a significant difference between them ( χ2=29.893, P<0.05). (4) Survival benefit of adjuvant therapy in subgroup populations. Results of interaction analysis showed that in subgroup populations with CA19-9 normalization, pathological stage N0, pathological stage N1-2, moderate to well differentiated tumors, adjuvant therapy after conversion resection can bring a better survival benefit for patients with pancreatic cancer ( adjustment hazard ratio=0.220, 0.300, 0.410, 0.340, 95% confidence interval as 0.120-0.400, 0.170-0.560, 0.240-0.690, 0.210-0.690). Conclusions:Postoperative adjuvant therapy is an independent factor influencing overall survival time in pancreatic cancer patients receiving conversion resection. Adjuvant therapy after conversion resection can bring additional survival benefits for pancreatic cancer, particularly for patients who respond favorably to neoadjuvant and/or induction therapy.

Objective To explore the relationship between angiogenin-1/2 (Ang-1/2) and clinical parameters of idiopathic pulmonary fibrosis (IPF), and to assess the value of Ang-1/2 in predicting the prognosis of patients with IPF.Methods A retrospective analysis was conducted. Ninety-one patients diagnosed as IPF by high resolution CT (HRCT) and lung biopsy admitted to Daqing Oil Field General Hospitalfrom March 2014 to January 2015 were enrolled. The general data, serum parameters and pulmonary function parameters of all patients were collected. After treatment, all of the 91 patients were followed-up to 2 years. The patients were divided into favorable prognosis group and unfavorable prognosis group according to follow-up results. The differences in all parameters between the two groups werecompared. The relationship between Ang-1, Ang-2 and lung function parameters was analyzed by Pearson correlation analysis. Cox proportional hazard regression model was used to evaluate the effect of clinical parameters on the prognosis of patients with IPF. The effect of Ang-2 in predicting prognosis of patients with IPF was analyzed by receiver operating characteristic (ROC) curve.Results During the 2-year follow-up period, 30 of 91 patients showed a favorable prognosis, and 55 showed an unfavorable prognosis with a poor prognosis rate of 64.71%, and 6 patients withdrew from the study due to loss of follow-up and death. Compared with the favorable prognosis group, Ang-2 level in the unfavorable prognosis group was significantly increased (μg/L: 2.88±1.63 vs. 1.89±1.22,t = 2.909,P= 0.005), but Ang-1 only showed a slight increase (μg/L: 28.70±14.26 vs. 25.62±11.95,t = 1.005,P = 0.318). The results of Pearson correlation analysis showed that Ang-2 level was negatively correlated with forced expiratory volume in 1 second (FVC1) and the percentage of carbon monoxide diffusing capacity accounting for the expected value (DLCO%;r value was -0.227 and -0.206, andP value was 0.147 and 0.253, respectively), but no significant correlation between the level of Ang-1 and FVC1 as well as DLCO% was found (r value was -0.153 and -0.121, andP value was 0.147 and 0.253, respectively). Cox proportional hazard regression model analysis showed that the prognosis of patients with IPF was significantly affected by smoking time and Ang-2 (bothP< 0.05), and the influence of Ang-2 was greater [relative risk (RR): 1.236 vs. 1.006, P= 0.037]. Age, gender, smoking and the levels of FVC1, DLCO% and Ang-1 had no significant effect on the prognosis of IPF patients (allP> 0.05). Prognostic analysis showed that the area under ROC curve (AUC) of Ang-2 for predicting prognosis of patients with IPF was 0.692, and the best diagnostic point was 0.35μg/L, the sensitivity was 61.8%, the specificity was 73.3%, the positive predictive value was 69.8%, and the negative predictive value was 65.7% which indicated that Ang-2 could predict the prognosis of patients with IPF.Conclusion Ang-2 could assess the prognosis of patients with IPF, which is expected to be used as an indicator of predicting the prognosis of patients with IPF.

OBJECTIVE: To investigate the expression of Calponin-1 and Transgenlin in the uterine smooth muscles during normal labor on-sets, and to evaluate their effect on initiating the normal labor. METHODS: A total of 14 uterine bodies and lower segments of human pregnancy were divided to a non-labor group (NIL) and a labor group(IL). Immunohistochemical technology and Western blot were used to determine the expression of Calponin-1 and Transgelin in the 2 groups. RESULTS: Immunohistochemical detection and Western blot showed that Calponin-1 protein in the uterine smooth muscle tissue of the body and the lower uterine segment of smooth muscle tissues had significant difference (P<0.05). The expression of Transgelin in the uterine body smooth muscle tissue in the IL was higher than that in the NIL(P<0.05). In the lower uterine segments of the smooth muscle, the expression of Transgelin was not significantly different in the 2 groups (P>0.05). CONCLUSION Calponin-1 of the uterine smooth muscle and Transgelin of the uterine body smooth muscle may involve in the regulation of uterine smooth muscle contractility, which is closely related to child birth launch.
Adult ; Calcium-Binding Proteins ; genetics ; metabolism ; Female ; Humans ; Labor Onset ; metabolism ; Microfilament Proteins ; genetics ; metabolism ; Muscle Proteins ; genetics ; metabolism ; Myometrium ; metabolism ; Pregnancy ; Uterine Contraction ; metabolism

Objective To investigate the effect of Calponin-1 suppression on human myometrium cells through adenovirus mediated siRNA. Methods Human uterine smooth muscle tissues were digested with enzymes, cultured and confirmed with immunocytochemistry. Aadenovirus siRNA-Calponin-1 plasmid was transfected into primary cultured uterine smooth muscle cells in vitro. The expressions of Calponin-1 mRNA and protein were analyzed by RT-PCR and Western blot, respectively.Results The pAdEasy-pShuttle-U6-Calponin-1 siRNA plasmid was successfully constructed, and Calponin-1 siRNA mediated by recombinant adenovirus resulted in markedly reduced expression of Calponin-1 mRNA and protein in human myometrium cells. The gray values of Calponin-1 mRNA in the uterine smooth muscle cells in the experimental, blank control, and empty vector groups were 316.3±39.2, 1048.5±126.4 and 1027.2±127.5, respectively. The gray values of Calponin-1 protein were 323.3±43.2, 1021.5±143.4, and 1019.2±144.5,respectively. The difference between the experimental group and the blank control group as well as the empty vector group was significant (P< 0.05). There was no significant difference between the empty vector group and the blank control group (P>0.05).Conclusion The pAdEasy-pShuttle-U6-Calponin-1 siRNA plasmid can inhibit the expression of Calponin-1 in human myometrium cells in vitro,which may be a useful approach to determine the role of Calponin-1 in delivery.