Background/Aims: Mucinous gastric carcinoma (MGC) is a histopathologic subtype of gastric carcinoma with a poor prognosis. The purpose of this study was to compare the disease course of MGC with non-mucinous gastric carcinoma (NMGC) and study the clinicopathologic features that influence the prognosis of MGC patients. Methods: We reviewed the records of 2,383 patients with a confirmed histologic diagnosis of gastric carcinoma. There were 157 patients with MGC compared to 2,226 with NMGC. Results: A depth of invasion greater than T3 was more frequently found in MGC than in NMGC. The mean number of lymph nodes with metastases was 2.78 in MGC and 2.28 in NMGC (p < 0.001). There were more MGC patients with TNM stages II through IV (UICC classification). The overall survival rate was lower for the MGC group (46.5%) than for the NMGC group (64.0%; p < 0.05). Depth of invasion, lymph node metastases, and stage at diagnosis were significant factors affecting the outcome. Conclusion: The factors influencing the poorer prognosis (lower 5-year survival rate) of MGC are the advanced stage at the time of diagnosis, lymph node metastases, and a higher TNM status. Mucinous histologic type itself was not an independent predictive factor in survival.

IL-8 and IL-17A, both are increased in PPP tissue, may represent important immunologic mediators that help to differentiate this clinical entity from pompholyx. This study may provide useful clues in distinguishing PPP from pompholyx, as well as helping to understand the pathogeneses of these two diseases.

So far we have developed Emergency Telemedicine System (ETS) which is a robust system using heterogeneous networks. In disaster areas, however, ETS cannot be used if the primary network channel is disabled due to damages on the network infrastructures. Thus we designed network management software for disaster communication network by combination of Mobile Ad hoc Network (MANET) and Wireless LAN (WLAN). This software maintains routes to a Backbone Gateway Node in dynamic network topologies. In this paper, we introduce the proposed disaster communication network with management software, and evaluate its performance using ETS between Medical Center and simulated disaster areas. We also present the results of network performance analysis which identifies the possibility of actual Telemedicine Service in disaster areas via MANET and mobile network (e.g. HSDPA, WiBro).

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