Objective To explore the correlation between the expression of hypoxia-inducihle factor-1α (HIF-1α) in the tissue of gastric cancer and the recurrence of gastric cancer after surgery.Methods A total of sixty patients with gastric cancer who received curative gastrectomy with complete follow-up data and recurrence after the surgery were taken as recurrence group.At same period,48 patients with gastric cancer treated and followed up for five years without recurrence were set as control group.The expressions of HIF-1α,CD34 and vascular endothelial growth factor (VEGF) in the gastric tissue section of recurrence group and control group were detected by immunohistochemistry streptavidin-peroxidase (S-P) staining.Chi-square test and Spearman correlation analysis were performed for the correlation analysis between the positive rates of HIF-1α and clinical pathological features.Kaplan-Meier method and Log-rank test were used for the analysis of survival condition in recurrence group.The independent prognostic factors of gastric cancer were analyzed by univariate analysis and Cox regression model.Results In recurrence group,the positive rate of HIF-1α expression was higher in cases with higher degree of gastric cancer differentiation,deeper invasion,lymph node metastasis,ascites,vascular invasion,lower TNM-stage and positive expression of VEGF.The differences were statistically significant (x2 =4.781,6.591,6.567,5.138,5.320,5.881 and 7.365,all P＜0.05).The positive rate of HIF-1α expression of recurrence group was correlated with the positive expression of VEGF and microvascular density (MVD) (r=0.350 and 0.317,both P＜0.05).The positive rate of HIF-1α expression of recurrence group (78.3％,47/60) was higher than that of control group (58.3 ％,28/48) and the difference was statistically significant (x2 =5.027,P＜0.05).The overall survival period of recurrence was nine months and one-year survival rate was 30.0％.Of which,the overall survival period and one-year survival rate of cases with negative HIF-1α expression were 18 months and 53.8％ and with positive expression were eight months and 21.3％.HIF-1α expression was independent prognostic factor of gastric cancer (OR =2.166,95％CI:1.183 to 3.965).Conclusions The expression of HIF-1α plays an important role in the angiogenesis of gastric cancer and is closely related with gastric cancer recurrence.Its expression can be considered as an indicator of gastric cancer recurrence and prognosis.

Objective To observe the clinical efficacy of Gastrodin acupoint injection in treating depression.Method Eighty depression patients were randomized into a treatment group and a control group, 40 cases in each group. The treatment group was by gastrodin acupoint injection plus medication, while the control group was by acupuncture plus medication. The Hamilton Rating Scale for Depression (HAMD-17) was observed before and after intervention, and the clinical efficacies were compared. Result Respectively after 2 and 3 treatment courses, the HAMD scores were significantly different from that before intervention in both groups (P<0.05). Respectively after 1, 2, and 3 treatment courses, the HAMD scores in the treatment group were significantly different from that in the control group (P<0.05). The recovery rate and total effective rate were respectively 70.0% and 100.0% in the treatment group, versus 45.0% and 90.0% in the control group, and the between-group differences were statistically significant (P<0.05).Conclusion Gastrodin acupoint injection is an effective approach in treating depression.

Purpose: We aimed to identify the anterolateral ligament (ALL) tears in anterior cruciate ligament (ACL)-deficient knees using standard 1.5-Tesla magnetic resonance imaging (MRI). Methods: We included all patients who underwent primary ACL reconstruction at our center between 2012 and 2015. Exclusion criteria included patients with multiple ligament injuries, lateral collateral ligament, posterolateral corner, and infections, and patients who underwent MRI more than 2 months after their injury. All patients (n = 148) had ACL tears that were subsequently arthroscopically reconstructed. The magnetic resonance (MR) images of the injured knees performed within 2 months of injury were reviewed by a musculoskeletal radiologist and an orthopedic surgeon. The patients were divided into two groups. The first group of patients had MRI performed within 1 month of injury. The second group of patients had MRI performed 1–2 months after the index injury. Both assessors were blinded and the MR mages were read separately to assess the presence of ALL, presence of a tear and the location of the tear. Based on their readings, interobserver agreement (kappa statistic (K)), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were compared. Results: The ALL was identified in 100% of the patients. However, there was a discrepancy of up to 15% in the identification of tear of the ALL. In the first group in which MRI scans were performed within 1 month of injury, the ALL tear was identified by the radiologist in 92% of patients and by the surgeon in 90% of patients (Κ = 0.86). In the second group in which MRI scans were performed within 1–2 months of the injury, the ALL tear was identified by the radiologist in 78% of patients and by the surgeon in 93% of patients (K = 0.62). Conclusion The ALL can be accurately identified on MRI, but the presence and location of ALL tear and its location cannot be reliably identified on MRI. The accuracy in identification and characterization of a tear was affected by the interval between the time of injury and the time when the MRI was performed.Level of evidence: Diagnostic, level IIIb, retrospective.

Purpose: We aimed to identify the anterolateral ligament (ALL) tears in anterior cruciate ligament (ACL)-deficient knees using standard 1.5-Tesla magnetic resonance imaging (MRI). Methods: We included all patients who underwent primary ACL reconstruction at our center between 2012 and 2015. Exclusion criteria included patients with multiple ligament injuries, lateral collateral ligament, posterolateral corner, and infections, and patients who underwent MRI more than 2 months after their injury. All patients (n = 148) had ACL tears that were subsequently arthroscopically reconstructed. The magnetic resonance (MR) images of the injured knees performed within 2 months of injury were reviewed by a musculoskeletal radiologist and an orthopedic surgeon. The patients were divided into two groups. The first group of patients had MRI performed within 1 month of injury. The second group of patients had MRI performed 1–2 months after the index injury. Both assessors were blinded and the MR mages were read separately to assess the presence of ALL, presence of a tear and the location of the tear. Based on their readings, interobserver agreement (kappa statistic (K)), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were compared. Results: The ALL was identified in 100% of the patients. However, there was a discrepancy of up to 15% in the identification of tear of the ALL. In the first group in which MRI scans were performed within 1 month of injury, the ALL tear was identified by the radiologist in 92% of patients and by the surgeon in 90% of patients (Κ = 0.86). In the second group in which MRI scans were performed within 1–2 months of the injury, the ALL tear was identified by the radiologist in 78% of patients and by the surgeon in 93% of patients (K = 0.62). Conclusion The ALL can be accurately identified on MRI, but the presence and location of ALL tear and its location cannot be reliably identified on MRI. The accuracy in identification and characterization of a tear was affected by the interval between the time of injury and the time when the MRI was performed.Level of evidence: Diagnostic, level IIIb, retrospective.

Objective To analyze the main active components and potential molecular mechanism of Sophora flavescens against breast cancer based on network pharmacology and molecular docking. Methods The chemical constituents were collected and screened by TCMSP, ETCM database and literature review. The targets of active ingredients were predicted by Swiss Target Prediction database. Breast cancer-related targets were collected by GeneCards, TTD, Drugbank and OMIM. The anti-breast cancer targets of Sophora flavescens were screened by Venny 2.1.0 software. Cytoscape software was used to construct the network diagram of Sophora flavescens-key active ingredients-targets. STRING database was used to analyze the common targets, and PPI network diagram was constructed. GO function enrichment analysis and KEGG pathway enrichment analysis of key target proteins were performed by DAVID database and Hiplot online platform. Schrodinger software was used to calculate the molecular docking between the active ingredients and targets. Molecular biological methods were used to verify the key targets. Results A total of 36 active components with clear structures were screened from Sophora flavescens. 70 anti-breast cancer targets of Sophora flavescens were screened out. 12 core targets including EGFR, AKT1, ESR1, SRC, CYP19A1, AR and ABCB1 participate in endocrine resistance, EGFR tyrosine kinase inhibitors and estrogen signaling pathways in breast cancer. Moreover, the docking score between the core component and the key target AR is the highest. In vitro experiments showed that the extract of Sophora flavescens can inhibit the proliferation of breast cancer cells, induce cell apoptosis and up-regulate AR protein expression. Conclusion It was revealed that Sophora flavescens plays an anti-breast cancer role by regulating complex biological processes through multiple components acting on multiple targets and signaling pathways. The upregulation of AR protein by Sophora flavescens may become a new therapeutic strategy for the treatment of breast cancer.