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@#Objective To investigate the relationship between DDX46 genes and invasion and migration of esophageal squamous cell carcinoma cells. Methods Human esophageal squamous cell carcinoma cells TE-1 were transfected by fluorescent marker shRNA lentivirus (shDDX46 group), and an empty vector was transfected as a control (shCtrl group). The expression rate of green fluorescent protein under the microscope was used to evaluate the cell transfection efficiency. Real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR) and Western blotting (WB) detected the knockdown efficiency of the target gene at the mRNA and protein expression levels. Wound healing, invasion assay and migration assay detected the changes of invasion and metastasis ability. Classical pathway analysis was used to explore signaling pathway changes and the possible mechanism of DDX46 in the invasion and metastasis was explored by detecting fibronectin expression. Results DDX46 gene at mRNA and protein levels was significantly inhibited after lentiviral transfection. Wound healing showed that after 8 h the cell mobility of TE-1 cells decreased significantly (P=0.001). Invasion assay showed that after 24 h the average cell metastasis rate of TE-1 cells was lower in the shDDX46 group than that in the shCtrl group (P<0.001). The cell metastasis rate in the shDDX46 group corresponding to observation points in the transwell assay was lower than that in the shCtrl group (P<0.001) after 24 h culture. The results of the classical pathway analysis showed that the integrin signaling pathway activity was inhibited, further exploration of the mechanism of action found that the expression of fibronectin associated with cell adhesion was decreased. Conclusion DDX46 gene is related to the invasion and migration ability of esophageal squamous cell carcinoma cells. Knockdown of DDX46 genes may reduce cell adhesion by downregulating the integrin pathway signaling.
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@# Objective To systematically evaluate the expression of programmed cell death receptor 1 (PD-1) and programmed cell death ligand 1 (PD-L1) in esophageal squamous cell carcinoma and its relationship with prognosis. Methods The literature from PubMed, EMbase, The Cochrane Library, Web of Science, CNKI and Wanfang data from inception to February 22, 2020 was searched by computer. Data were extracted and the quality of literature was evaluated using RevMan 5.3 software for meta-analysis. Egger's and Begg's tests were used to evaluate publication bias, and Stata 15.1 software was used for sensitivity analysis. Results A total of 16 articles were included, and there were 3 378 patients with esophageal squamous cell carcinoma. The methodological index for nonrandomized studies (MINORS) scores were all 12 points and above. The meta-analysis results showed that the positive expression rates of PD-1 and PD-L1 in tumor cells were 37.8% (190/504) and 41.7% (1 407/3 378), respectively. The positive expression of PD-L1 in tumor immune infiltrating cells was 41.7% (412/987). The overall survival (OS) of the tumor cell with high PD-L1 expression was lower than that with low PD-LI expression (HR=1.30, 95%CI 1.01-1.69, P=0.04). The OS of the tumor immune infiltrating cell with high PD-L1 expression was significantly higher than that with low PD-LI expression (HR=0.65, 95%CI 0.53-0.80, P<0.000 1). Conclusion PD-L1 has a high expression rate in esophageal squamous cell carcinoma and is an important factor for the prognosis of esophageal squamous cell carcinoma.
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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.
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Objective To explore the clinical characteristics and perioperative treatment of chronic obstructive pulmonary disease (COPD) in patients with non-small-cell lung cancer (NSCLC) in department of thoracic surgery,and to guide the clinical diagnosis and treatment. Methods From January 2013 to December 2016,patients with newly diagnosed NSCLC treated in the thoracic surgical department of Lanzhou University Second Hospital were reviewed retrospectively. The patients were divided into the COPD group and non-COPD group. The clinical data,including the incidence and clinical characteristics of COPD in non-small-cell lung cancer,pulmonary complications after surgery,COPD diagnosis and perioperative pulmonary rehabilitation were analyzed retrospectively. Results A total of 726 NSCLC patients were reviewed,six hundred and seventy-five cases who took the full lung function test were included in the study,of which 95 cases received bronchial diastolic test,86 cases were accorded with COPD diagnosis and were included in incorporated COPD group,and 589 cases were in the non- incorporated COPD group. The proportion of men (69 cases,80. 2%,χ2 = 24. 032), age ≥65 (51 cases,59. 3%,χ2 = 6. 784),smoking history (55cases,64. 0%,χ2 = 29. 474) and a large number of smokers (43 cases,50. 0%,χ2 = 5. 802) and lung squamous cell carcinoma(47 cases,54. 7%,χ2 = 6. 241) in the incorporated COPD group were higher than those in differences were statistically significant (P<0. 05); the incidence of pulmonary complications after radical resection of lung cancer in the incorporated COPD group was 23. 9% (16/ 67),which was significantly higher than that in the unincorporated COPD group(13. 7% (78/568)) (χ2 = 4. 894,P<0. 05). The incidence of pulmonary complications in the lung rehabilitation group was 13. 5% ( 5/37) , lower than that of the non-lung rehabilitation group ( 36. 7% ( 11/30 ) ) (χ2 = 4. 886, P<0. 05);Among the 86 cases (12. 7%) of incorporated COPD,only 6 cases (8. 9 ‰) were diagnosed with COPD at the time of admission, and 23 cases ( 3. 4%) at discharge. No COPD guidelines were given. Conclusion NSCLC often combined wtith COPD,especially in males,elders (≥65 years old) ,smokers, squamous cell carcinoma patients. At present,the diagnosis and treatment of co-morbidity of COPD is seriously inadequate,which needs to be paid much attention to by the thoracic surgeons,in order to improve the diagnosis and treatment of COPD,and improve the prognosis of the patients with NSCLC and COPD.
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Objective To study the mechanism of tumor necrosis factor(TNF) ? in psoriasis vulgaris. Methods The expressions of 55 kD(p55) and 75 kD(p75) TNF receptors, intercellular adhesion molecule(ICAM) 1, lymphocyte function associated antigen(LFA) 1 in the lesional skin of psoriasis vulgaris were detected by immunohistochemical method. Results Normal skin did not express p55, p75, ICAM 1 and LFA 1, the epidermis of the lesional skin expressed p55, p75 and ICAM 1, the infiltrating mononuclear cells (MNCs) in the dermis expressed p55, p75 and LFA 1 in psoriasis vulgaris. The intensities of staining of the p55 and ICAM 1 on epidermal keratinocytes(EKC) were significantly correlated (r' s=0.704, P0.05). The staining intensity of ICAM 1 on EKC and the number of infiltrating MNCs in the dermis was significantly correlated (r' s=0.724, P