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[Objective] The spatio-temporal evolution of land use patterns in Chongqing City was analyzed in order to provide a scientific basis for promoting the sustainable use of land resources and sustainable social and economic development in the region. [Methods] Remote sensing monitoring data of land use for Chongqing City (located in a mountainous high-density area) from 1995 to 2020 were quantitatively analyzed to determine the spatio-temporal evolution characteristics of land use in Chongqing City from the aspects of quantitative structure and spatial layout. The driving forces of land use change in Chongqing City under different time scales were analyzed by geographical detectors. [Results] The rate of land use change in Chongqing City accelerated during the study period. The land used by urban and rural residents and the land used for industrial and mining construction continued to increase. The grassland area was greatly reduced and concentrated by the conversion to forest land. For 25 years, the degree of land use in Chongqing City has increased year by year, with the entire aera being in the development period. Hot spots of development were mainly concentrated in the main city and its surrounding areas. The density of paddy fields in Western Yuxi District decreased. The high-value density area of forest in Southeast Chongqing City increased, but the high-value density area of grassland decreased significantly. The high-density core of urban and rural residential land was located in the main urban area, and the high-density core of industrial and mining construction land exhibited a sattered distribution having a large growth rate. Socio-economic factors had a significant impact on land use change in Chongqing City, of which population density was the dominant factor. [Conclusion] Regional differences in land use change in Chongqing City were observed over time, and land use change was mainly affected by socio-economic factors.

Background and objective It has been proven that MTA2 was expressed in many tumor cell lines and was correlated with tumor invasion and metastasis. The aim of this study is to investigate the expression of MTA2 protein in non-small cell lung cancer (NSCLC) and to explore the relationship between the expression of MTA2 and the pathological features. Methods The expression of MTA2 protein in 110 cases of NSCLC and 34 cases corresponding lung tissues was detected with immunohistochemistry method. The relationship between the expression of MTA2 and the pathological features in NSCLC was analyzed statistically. Results There was no expression of MTA2 protein in cancer collateral branch trachea epithelial and alveolar epithelial, but there was some expression in partial NSCLC. The positive rate of MTA2 was 58.18% (64/110) in 110 NSCLC cases. The expression of MTA2 had negative correlation with differentiation degree of NSCLC but had positive correlation with clinical stage and lymph node metastasis (P < 0.05), moreover, it had no obvious correlation with age, gender and pathological type (P > 0.05). Conclusion There was some expression of MTA2 in partial NSCLC and it was correlated with differentiation degree, clinical stage and lymph node metastasis. The results show that the occurrence and development of lung cancer may be related with MTA2. MTA2 may act as a new symbol and target in the treatment of lung cancer.

Background and objective p120ctn plays an important role in cell adhesion and has a significant association with tumorigenesis. To investigate the expression of p120ctn (p120 cateinin) isoforms in lung squamous cell carcinomas and adenocarcinomas, and analyze the correlation between p120ctn and clinicopathological parameters. Methods The expression patterns of p120ctn in lung cancer tissues and the corresponding normal lung tissues were examined by reverse transcription-polymerase chain reaction (RT-PCR). Immunofluorescence, RT-PCR, and Western blot were used to investigate the expression of p120ctn isoforms in lung cancer cell lines BE1 and LH7. Results Compared with corresponding normal lung tissues, lung cancer tissues have significantly lower levels of total mRNA, isoform1 and 3 mRNA (P