Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

The liver is a highly proliferative organ. As the liver injured, the hepatocytes can quickly enter the cell cycle to restore the volume and function of liver. Liver regeneration involves complex processes that depend on the interaction of many different cell types. As limited by the average cell change level in tissues, traditional sequencing methods can only acquire the average genetic information reflecting dominant cell subpopulations, but ignore the secondary cell subpopu-lations, which leads to the loss of cellular heterogeneity information. Single-cell sequencing tech-nology can analyze the biological behavior of single cell, which helps to better understand the distri-bution, interaction and cell heterogeneity of different cells during liver regeneration. The authors review the application of single cell sequencing technology in liver regeneration.

Objective    To analyze the expression of cold-induced RNA-binding protein (CIRBP) in lung adenocarcinoma and its clinical significance based on bioinformatics, in order to provide a new direction for the study of therapeutic targets for lung adenocarcinoma. Methods    The CIRBP gene expression data and patient clinical information data in lung adenocarcinoma tissues and adjacent tissues were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The expression of CIRBP in lung adenocarcinoma was analyzed. Furthermore, its relationship with clinicopathological features and prognosis in patients with lung adenocarcinoma was analyzed. GO and KEGG enrichment analysis were carried out for the screened genes. The CIRBP protein interaction network was constructed by STRING, and the correlation analysis was carried out using the GEPIA online website. Results    The expression level of CIRBP gene in lung adenocarcinoma tissues was significantly lower than that in adjacent tissues (P<0.01), and its expression level was correlated with T stage and N stage in clinicopathological features. The prognosis of patients with high CIRBP expression in lung adenocarcinoma was significantly better than that with low CIRBP expression. Univariate and multivariate Cox regression analysis showed that CIRBP was an independent prognostic factor in patients with lung adenocarcinoma. GO functional annotation showed its enrichment in organelle fission, nuclear fission, chromosome separation, and DNA replication, etc. KEGG analysis showed that it was mainly involved in cell cycle and DNA replication. Protein interaction network and GEPIA online analysis showed that the expression level of CIRBP  was negatively correlated with the expression level of cyclin B2. Conclusion    CIRBP gene is down-regulated in lung adenocarcinoma tissues, and its expression level is closely related to patient prognosis. CIRBP gene may be a potential therapeutic target and prognostic marker for lung adenocarcinoma.

Objective:To establish an early prediction model with multiple indicators to predict the risk of severe acute pancreatitis (SAP) in hyperlipidemic acute pancreatitis (HLAP).Methods:The clinical data of 92 patients with HLAP admitted to the Emergency Department of our hospital from March 2018 to February 2020 were analyzed retrospectively. Among them, 29 cases deteriorated to SAP and 63 cases did not. Univariate analysis was used to screen predictive indicators related to hyperlipidemic severe acute pancreatitis (HL-SAP), and logistic regression analysis was used to screen independent predictive indicators related to HL-SAP. Then a prediction model was established. The area under (AUC) the receiver operating curve (ROC) was used to evaluate the predictive ability of each predictive indicator and the model for HL-SAP. Bootstrap resampling technology was used to validate the predictive ability of the model.Results:Univariate analysis showed that procalcitonin, D-dimer, C-reactive protein, albumin, cholesterol and CT grade had influence on the progression of HLAP to SAP ( P<0.05). Logistic regression analysis showed that D-dimer ( OR=2.112, 95% CI: 1.022-4.366; P<0.05), CT grade ( OR=5.818, 95% CI: 2.481-13.643; P<0.01) and cholesterol ( OR=1.146, 95% CI: 1.004-1.308; P<0.05) were independent risk factor of HL-SAP. The AUC of D-dimer, CT grade, cholesterol and the model were 0.802, 0.875, 0.665 and 0.927, respectively. Internal validation of the predictive ability of the model showed that the C-index was 0.927. Conclusions:In the early phase, application of the prediction model that composes D-dimer, CT grade and cholesterol has a good predictive effect on HL-SAP.

Objective    To investigate the prognostic survival status and influence factors for surgical treatment of esophageal squamous cell carcinoma (ESCC) in pathological stage T1b (pT1b). Methods    The patients with ESCC in pT1b undergoing Ivor-Lewis or McKeown esophagectomy in Lanzhou University Second Hospital from 2012 to 2015 were collected, including 78 males (78.3%) and 17 females (21.7%) with an average age of 61.4±7.4 years. Results    The most common postoperative complications were pneumonia (15.8%), anastomotic leakage (12.6%) and arrhythmia (8.4%). Ninety-three (97.9%) patients underwent R0 resection, with an average number of lymph node dissections of 14.4±5.6. The rate of lymph node metastasis was 22.1%, and the incidence of lymph vessel invasion was 13.7%. The median follow-up time was 60.4 months, during which 25 patients died and 27 patients relapsed. The overall survival rate at 3 years was 86.3%, and at 5 years was 72.7%. Multivariate Cox regression analysis showed that lymph node metastasis (P=0.012, HR=2.60, 95%CI 1.23-5.50) and lympovascular invasion (P=0.014, HR=2.73, 95%CI 1.22-6.09) were independent risk factors for overall survival of pT1b ESCC. Conclusion    Esophagectomy via right chest approach combined with two-fields lymphadenectomy is safe and feasible for patients with pT1b ESCC. The progress of pT1b ESCC with lymph node metastasis or lymphovascular invasion is relatively poor.

Objective    To explore the mechanism of DDX46 regulation of esophageal squamous cell carcinoma. Methods    Picture signals of fluorescence in gene array were scanned and differential expression of gene in two groups (a DDX46-shRNA-LV group and a control-LV group) were compared by GCOSvL.4 software. These differential expressed genes were analyzed by bioinformatics methods finally, and validated by quantitative real time polymerase chain reaction (qRT-PCR) analysis. Results    According to the screening criteria of fold change ≥2 and P<0.05, 1 006 genes were differentially expressed after DDX46 knockdown, including 362 up-regulated and 644 down-regulated genes. Bioinformatics analysis and gene co-expression network building identified that these differentially expressed genes were mainly involved in cell cycle, proliferation, apoptosis, adhesion, energy metabolism, immune response, etc. Phosphatidylinositol 3-kinase (PI3K) was the key molecule in the network. The results of RT-qPCR were completely consistent with the results of gene microarra. Conclusion    Bioinformatics can effectively exploit the microarray data of esophageal squamous cell carcinoma after DDX46 knockdown, which provides a valuable clue for further exploration of DDX46 tumorigenesis mechanism and helps to find potential drug therapy.

Objective:To evaluate the efficacy of artificial intelligence assisted pulmonary nodule diagnosis system in detection pulmonary nodule and predicting the malignant probability of pulmonary nodule.Methods:A retrospectively analyze the clinical data of 199 patients with lung nodules in the Thoracic Surgery Department of Lanzhou University Second Hospital from May 2016 to July 2020. The preoperative chest CT was imported into the artificial intelligence system to record the detected lung nodules, to measure nodal diameter and density classification and malignant probability prediction value of each nodule. The detection rate of pulmonary nodules by artificial intelligence system was calculated, and the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of artificial intelligence system in the differential diagnosis of benign and malignant pulmonary nodules were calculated and compared with manual film reading. and the sensitivity and specificity in the differential diagnosis of benign and malignant pulmonary nodules under the condition of different size and density of pulmonary nodules.Results:A total of 204 pulmonary nodules were pathologically diagnosed by surgical resection, and the detection rate of pulmonary nodules by artificial intelligence system was 100%. The artificial intelligence system can distinguish benign and malignant pulmonary nodules with a sensitivity of 95.83%(95% CI: 0.8967-0.9883), specificity 25.00%(95% CI: 0.1717-0.3425), and a positive likelihood ratio of 1.27(95% CI: 1.14-1.44), negative likelihood ratio 0.17(95% CI: 0.06-0.46), Manual reading for the differentiation of benign and malignant pulmonary nodules has a sensitivity of 87.36%(95% CI: 0.7850-0.9352), specificity 72.17%(95% CI: 0.6214-0.8079), and a positive likelihood ratio of 3.14(95% CI: 2.26-4.37), the negative likelihood ratio is 0.18(95% CI: 0.10-0.31). 5mm≤diameter of pulmonary nodule<10 mm, sensitivity 100%(95% CI: 0.6637-1.0000), specificity 50.00%(95% CI: 0.01258-0.98740), 10 mm≤diameter of pulmonary nodule <20 mm, sensitivity 94.29%(95% CI: 0.8084-0.9930), specificity 29.83%(95% CI: 0.1843-0.4340), 20 mm≤ diameter of pulmonary nodule ≤30 mm, sensitivity 96.15%(95% CI: 0.8679-0.9953), specificity 18.37%(95% CI: 0.0876-0.9953), sensitivity of subsolid lung nodules: 100%(95% CI: 0.9051-1.0000), specificity 20.00%(95% CI: 0.0051-0.7164), solid lung nodule sensitivity 93.22%(95% CI: 0.8354-0.9812), specificity 25.24%(95% CI: 0.1720-0.3476). Conclusion:The artificial intelligence assistant diagnosis system of pulmonary nodules has a strong performance in the detection of pulmonary nodules, but it can not meet the clinical requirements in the differentiation of benign and malignant pulmonary nodules. At present, the artificial intelligence system can be used as an auxiliary tool for doctors to detect pulmonary nodules and assist in the diagnosis of benign and malignant pulmonary nodules.

Objective To observe the growth of xenografted tumor in nude mice after DDX46 expression decreased, and to further study the role of DDX46 in the development and progression of esophageal squamous cell carcinoma. Methods DDX46-shRNA mediated RNAi was applied to silencing DDX46 in Eca-109 cells. Twenty-five female BALB/c nude mice were divided into 3 groups: an experiment group (DDX46-shRNA-LV, n=10), a control group (Control-LV, n=10) and a blank control group (Het-1A, n=5). The prepared Eca-109 cells of DDX46-shRNA-LV and Control-LV were subcutaneously injected into the right armpit of mice (4×106 cells per mouse), while Het-1A cells were subcutaneously injected into the bilateral armpits of mice (4×106 cells per side). Tumor growth was monitored twice a week on the 14th day after injection. Tumor volume was measured with calipers, in vivo imager to observe the fluorescence of each group. Further, western blotting analysis was used to detect the changes of apoptosis signaling molecules in xenografted tumor after DDX46 silence. Results The growth of xenografted tumor in nude mice was significantly slower in the DDX46-shRNA-LV group than that in the Control-LV group throughout the study period (P<0.001). Western blotting analysis showed that silencing DDX46 effectively suppressed the expression of DDX46, and upregulated the expression of cleaved Caspase-3 and cleaved PARP-1 in xenografted tumor (P<0.01). Conclusion DDX46 is involved in the development and progression of esophageal squamous cell carcinoma, and the silence of DDX46 expression can inhibit the growth of esophageal squamous cell carcinoma, which probably by positive regulation of apoptosis signaling pathway.

Objective To explore the research state and topics of lung cancer with chronic obstructive pulmonary disease (COPD) in China using the visualization methods. Methods Literature about lung cancer with COPD was searched through WanFang, CNKI, CBM, PubMed, The Cochrane Library and EMbase databases from inception to March 2018 by computer. We used BICOMS software to analyze the main information and produce co-word matrix, gCLUTO software to cluster, and NetDraw and Cytoscape software to draw the pictures. Results There were 304 studies related to lung cancer with COPD which originated from 173 journals including 23 indexed by Chinese Science Citation Database (CSCD) with 42 articles published, accounting for 13.8% of the total number of studies. There were 37 articles from 24 journals indexed by Science Citation Index (SCI) accounting for 12.2% of the total number of studies. The studies grew rapidly since 2012. The study involved 32 provinces, municipalities, and autonomous regions, among which Beijing, Sichuan, Shanghai, Guangzhou and Jiangsu provinces and cities were the main research areas. Sixty-nine high-frequency keywords were obtained with frequency 2 as the threshold, which was clustered into 5 categories by dual cluster analysis. Among them, topic 0 showed pathogenesis and radiological diagnosis of lung cancer with COPD, topic 1 was about the clinical characteristics of different pathological types of lung cancer with COPD and Chinese medicine treatment, topic 2 aimed at the impact of risk factors on surgical complications and the relationship between chemotherapy or targeted therapies and patient survival prognosis, topic 3 involved the pigenetic correlation between lung cancer and COPD and topic 4 was about clinical studies of perioperative comprehensive management of lung cancer patients with COPD. Conclusion The bibliometrics results show that there are considerable-amount achievements on lung cancer combined with COPD in China, and the researches have gradually increased since 2012. Horizontal research topics are extensive, and the focus of the study is to explore the perioperative comprehensive management and basic research of lung cancer with COPD, but the longitudinal themes need to be further studied. The results of some studies have not yet reached a consensus. There are few high-quality multi-center studies and a lack of clinical-directed achievement.