Shelter: Smartphone Bridged Socialized Body Networks for Epidemic Control

We propose using information, computing and networking innovations to tackle epidemic control challenges

Effects of Cetuximab Combined with Celecoxib on Apoptosis and KDR and AQP1 Expression in Lung Cancer

Background and objective Neoadjuvant chemotherapy is a new development in the treatment of lung cancer. In recent years, cetuximab and celecoxib have been commonly used in this procedure. This study aims to explore the effect of cetuximab combined with celecoxib on apoptosis and KDR and AQP1 expression in lung cancer A549 cells. Method The cells were cultured in RPMI-1640 and then divided into four groups: control group, 1 nmol/L cetuximab group, 25 µmol/L celecoxib group, and 1 nmol/L cetuximab+25 µmol/L celecoxib group. The treatment time was 48 h. The mRNA and protein expression levels of KDR and AQP1 were detected by RT-PCR and Western blot, respectively. The apoptosis, proliferation, and invasive ability of A549 cells before and after transfection were examined using flow cytometry, MTT, and transwell methods. Results Cetuximab and celecoxib inhibited the growth of A549 cells in a dose-dependent manner. Their combination produced a greater growth inhibition than when either was used alone (P<0.01). Cetuximab and celecoxib both induced the apoptosis of A549 cells, and their combination produced a higher apoptosis rate (P<0.01). Cetuximab in combination with celecoxib also induced G1 phase arrest and downregulated the expression of KDR and AQP1 in A549 cells (P<0.05). As a result, the invasion ability of the A549 cells was significantly decreased. Conclusion Cetuximab in combination with celecoxib can synergistically inhibit the growth of A549 cells and downregulate the expression of KDR and AQP1 in A549 cells. The combination of cetuximab and celecoxib is a potential strategy for lung cancer therapy

DOK7 Inhibits Cell Proliferation, Migration, and Invasion of Breast Cancer via the PI3K/PTEN/AKT Pathway

Recently, increasing attention has been paid to the correlation between the expression of downstream of kinase 7 (DOK7) and the occurrence and development of various tumors. In this study, we clarified the effects of DOK7 in breast cancer. First, we showed that DOK7 expression was obviously reduced in the breast cancer tissues and lower levels of DOK7 linked to more aggressive behaviors and worse prognosis of patients. Furthermore, DOK7 expression of various breast cancer cell lines was lower than that of human noncancerous MCF-10A cells. Overexpression of DOK7 inhibited proliferation, migration, and invasion, while silencing DOK7 expression promoted the malignancy of breast cancer. In addition, overexpression of DOK7 suppressed tumor proliferation and lung metastasis in animal models. Finally, to investigate the possible signaling mechanism, we first found that the level of p-AKT protein was extremely downregulated and the level of PTEN protein was remarkably upregulated after overexpressing DOK7 in breast cancer cells. Repression of PTEN expression using PTEN siRNA or SF1670 (PTEN inhibitor) rescued the tumor-inhibiting effect induced by DOK7 overexpression, suggesting that DOK7 inhibits proliferation, migration, and invasion of breast cancer cells though the PI3K/PTEN/AKT pathway. These results suggest that the downregulation of DOK7 may become a novel breast cancer therapeutic target

Coupling Analysis for Multienergy Systems by Self and Cross Critical Load Level

Multienergy system (MES) operation has proven beneficial to the flexibility and efficiency of energy usage. Although efforts have been made toward the simulation and optimization of MESs, successful MES deployment is a grand challenge for market operations. The previous literature focuses on the modeling of the MES and the formulation of corresponding locational marginal prices (LMPs). A detailed analysis of LMP properties in an MES market-clearing model has not been fully developed. Although coupling analysis between different energy systems has been conducted from a system and power flow perspective, a coupling analysis with a specific indicator from a LMP perspective could provide operators with new insight into MES integration. Therefore, this paper first identifies six properties of the LMP in a unified MES market-clearing model. Then, based on the identified properties, two new types of critical load levels (CLL), Self-CLL and Cross-CLL, are defined and discussed to investigate the MES price pattern. Next, the Self-CLLs and Cross-CLLs for an MES are quantified by grey relation analysis (GRA) to deliver an MES coupling analysis from the perspective of LMP patterns. The identified properties and proposed analysis are demonstrated with a small MES case and a large one