Gastric adenocarcinoma, commonly known as stomach cancer, has a predilection for metastasis to the peritoneum, which portends limited survival. The peritoneal metastatic cascade remains poorly understood, and existing models fail to recapitulate key elements of the interaction between cancer cells and the peritoneal layer. To explore the underlying cellular and molecular mechanisms of peritoneal metastasis, we developed an ex vivo human peritoneal explant model. Fresh peritoneal tissue samples were suspended, mesothelial layer down but without direct contact, above a monolayer of red-fluorescent dye stained AGS human gastric adenocarcinoma cells for 24 h, then washed thoroughly. Implantation of AGS cells within the explanted peritoneum and invasion beyond the mesothelial layer were examined serially using real-time confocal fluorescence microscopy. Histoarchitecture of the explanted peritoneum was preserved over 5 days ex vivo. Both implantation and invasion were suppressed by restoration of functional E-cadherin through stable transfection of AGS cells, demonstrating sensitivity of the model to molecular manipulation. Thus, our ex vivo human peritoneal explant model permits meaningful investigation of the pathways and mechanism that contribute to peritoneal metastasis. The model will facilitate screening of new therapies that target peritoneal dissemination of gastric, ovarian and colorectal cancer.

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Financing is always a big problem in the development of small and medium-sized enterprises (SME) in our country. It’s necessary to develop Internet financial to support the development of real economy and improve SME’s financing situation. In this paper, an analysis of the SME’s financing innovation is described and then an internet financing innovation which is oriented to growth phase SME is proposed, in order to better meet SME’s financing requirement in different growth phases.

The rapid development of big data will greatly change the government’s management mode. Each country in the world has issued various policies to deal with the development of big data, and our government also attaches great importance to the industry of big data. The e-government model based on big data proposed in the paper raises new ideas for the innovation of e-government affairs.