CDCA2 Inhibits Apoptosis and Promotes Cell Proliferation in Prostate Cancer and Is Directly Regulated by HIF-1α Pathway.

Prostate cancer (PCa) is a major serious malignant tumor and is commonly diagnosed in older men. Identification of novel cancer-related genes in PCa is important for understanding its tumorigenesis mechanism and developing new therapies against PCa. Here, we used RNA sequencing to identify the specific genes, which are upregulated in PCa cell lines and tissues. The cell division cycle associated protein (CDCA) family, which plays a critical role in cell division and proliferation, is upregulated in the PCa cell lines of our RNA-Sequencing data. Moreover, we found that CDCA2 is overexpressed, and its protein level positively correlates with its histological grade, clinical stage, and Gleason Score. CDCA2 was further found to be upregulated and correlated with poor prognosis and patient survival in multiple cancer types in The Cancer Genome Atlas (TCGA) dataset. The functional study suggests that inhibition of CDCA2 will lead to apoptosis and lower proliferation in vitro. Silencing of CDCA2 also repressed tumor growth in vivo. Loss of CDCA2 affects several oncogenic pathways, including MAPK signaling. In addition, we further demonstrated that CDCA2 was induced in hypoxia and directly regulated by the HIF-1α/Smad3 complex. Thus, our data indicate that CDCA2 could act as an oncogene and is regulated by hypoxia and the HIF-1αpathway. CDCA2 may be a useful prognostic biomarker and potential therapeutic target for PCa

Regional Differentiation and Influencing Factor Analysis of Residents’ Psychological Status during the Early Stage of the COVID-19 Pandemic in South China

A scientific understanding of the impact of COVID-19 on the psychological status of residents is important for improving medical services and responding to public health emergencies. With the help of some of the most popular network communication tools (including Wechat and Weiboand QQ), online questionnaires were completed by South China citizens during the early stage of the COVID-19 pandemic based on psychological stress theory and using a comprehensive sampling method. Through cooperation with experts from other institutions, the content of the questionnaire was designed to include interviewees’ spatial locations and individual information, identify whether negative emotions were generated, and determine the level of psychological stress and the degree of perception change, etc. According to the data type, mathematical statistics and multiple logistic regression methods were used to examine regional differentiation and influencing factors regarding the psychological stress of residents using 1668 valid questionnaires from 53 municipal administrative units in South China. The results firstly showed that over the whole area there was typical regional differentiation in South China, especially in relation to negative expression and psychological stress, with this feature reflecting the dual urban–rural structure. Secondly, regional differences were obvious. Residents of Hainan showed stronger change of psychological stress than those of the other two provinces. In contrast, Guangdong residents were the least psychological stress, and the concept of a harmonious relationship between human beings and nature was not accepted as well as in the other two provinces. Thirdly, in each province the capital city acted as the regional pole, with greater psychological status. This polarization effect decreased with greater distance, reflecting the theory of growth poles in human geography. Fourthly, gender, education level, occupation, informational correction, and the possibility of infection were notable factors that affected the psychological status of interviewees facing COVID-19. However, the functions were different and were decided by the dependent variable. Lastly, based on conclusions summarized from three perspectives, it was found that regional differentiation, public information, and social structure need to focused upon in order to handle sudden major health issues

Regionalisation or domesticalisation? Configurations of China’s emerging domestic market-driven industrial robot production networks

Abstract From global production network (GPN) theory, this study explores the configurations of emerging Southern market-driven production networks through the case of China’s industrial robot industry which has emerged with increasing automation in production. This paper argues that to serve the Chinese high- and middle-end customers, global lead firms from Western economies have established regional production networks by localising production, connecting with global component suppliers in/outside China and collaborating with Chinese system integrators. However, Chinese capable firms have organised domestic production networks for the low and middle-end through integrating with domestic component suppliers and system integrators. This study adapts the GPN framework, mostly highlighting Western markets, by examining markets and firms in the Global South and revealing new configurations of production networks.</jats:p

Why are migrants\u27 not participating in welfare programs? Evidence from Shanghai, China

In recent years, Chinese cities have attempted to extend urban welfare provisions to migrants, but migrants\u27 participation in such programs is relatively low. This paper examines migrant welfare participation in Shanghai and its association with personal characteristics, institutional factors, the labor market, attitudes about welfare programs and settlement intention. Except for hukou status, knowledge about policies and settlement intention, all the other factors help explain migrant nonparticipation in welfare programs. Comparing welfare participation among three subroups of migrants - the included, partially included and the transition group - explains the selection mechanisms for integrating migrants in welfare programs. Shanghai appears to be more welcoming of migrants who are female, with higher education, have better employment and greater trust in government impartiality