ELF3 is one of the member of transcription factors from E-twenty-six family, its role varies in different types of cancer. However, the role and specific mechanisms of ELF3 in the development of non-small cell lung cancer (NSCLC) still remains largely unknown. In our study, ELF3 was observed to be upregulated in NSCLC tissues compared to the corresponding normal lung tissue at mRNA and protein levels, and its expression level was correlated with the overall survival of patients with NSCLC. Silencing of the ELF3 gene in NSCLC cells inhibited the proliferation and metastasis significantly in vitro and in vivo. Conversely, overexpression of ELF3 in NSCLC cells promoted cancer growth and metastasis in vitro. Mechanistically, ELF3 activated PI3K/AKT and ERK signaling pathways and its downstream effectors, thus regulating the cell cycle and epithelial-mesenchymal transition (EMT). Furthermore, the promotive effects of ELF3 on cellular proliferation and metastasis could be rescued by Ly294002 (inhibitor of PI3K) and U0126 (inhibitor of MEK1/2). The results show that ELF3 promotes cell growth and metastasis by regulating PI3K/Akt and ERK pathways in NSCLC and that it may be a promising new target for the treatment of NSCLC patients.

This study is to explore the effect of predictive nursing mode on preventing from bone cement implantation syndrome in hemiarthroplasty. 55 patients who were performed with bone cement hemiarthroplasty in our hospital from January 2018 to December 2018 were selected. These patients were divided into conventional group (n=25) and predictive nursing mode group (n=30) according to nursing modes. Then the systolic pressure (SBP), diastolic blood pressure (DBP), heart rate (HR) and oxyhemoglobin saturation (SpO 2 ) of the two groups of patients were compared 10min before injection of bone cement (T1), at the time of implantation of bone cement (T2), and 10min after injection of bone cement respectively (T3). The occurrence situation of respiratory distress, arrhythmia, dizziness, chest distress, panic, nausea, vomiting and shock for the two groups of patients in the surgery were compared. There was no significant difference for the comparison of the data including age, cardiac function, etc. of the patients between the conventional group and predictive nursing mode group. However, SBP and DBP of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). Additionally, HR and SpO 2 of the intervention group at the time of T1, T2 and T3 were higher than that of the conventional group (P<0.05). As for the comparison of the evaluation indexes of bone cement for the two groups of patients in the surgery, the occurrence situation of hypotension, hyoxemia and RDS for the intervention group were apparently lower than that for the conventional group (P<0.05). As for the comparison of the intraoperative discomfort for the two groups of patients, the occurrence situation of dizziness, chest distress, panic, vomiting, nausea and shock of the intervention group were lower than that of the conventional group. The predictive nursing mode can be used for early intervention so as to relieve and avoid the occurrence of bone cement implantation syndrome in hemiarthroplasty, therefore it is worthy of being promoted for application. Suspected BCIS should be treated with aggressive resuscitation and supportive care. Prevention of BCIS includes identification of high-risk patients, preoperatively optimizing patient risk factors and comorbidities, and good communication with the surgical team.

Objective: To explore optimized processes and experience of cleaning operating room during continuous surgery. Method: Selected surgery cases from January to December 2018 randomly, 300 cases were using traditional methods of cleaning and 300 cases with improved methods of cleaning, we compared and analyzed the cleaning time and cleaning effect between two different methods, and investigated the changes of action ability of cleaning team, and analyzed the changes of doctor-patient satisfaction. Results: In 2018, we used improved cleaning management methods, cleaning time, cleaning effect, cleaning team action and patient or doctor satisfaction are significantly better than the traditional cleaning methods. Conclusion: In operating room, scientific cleaning management can significantly improve the efficiency of the operation, prevent the spread of bacteria in the operating room, improve the efficiency of the operating room, and thereby increase surgeon and patient satisfaction.