Ubiquitin-specific protease 10 (USP10), a novel deubiquitinating enzyme, had been associated with growth of tumor cell. However, the role of USP10 in gastric cancer carcinogenesis had not been elucidated yet. The aim of this study was to investigate the expression level of USP10 in gastric carcinoma (GC) tissues and cell lines, then to evaluate the clinical significance of USP10 in GC patients. USP10, E-cadherin, Ki67 and p53 expressions were detected in 365 GC and 40 non-cancerous mucosa tissues by immunohistochemistry. Western blot for USP10 was performed on additional fresh GC tissues and GC cell lines. The expression level of USP10 in GC tissues was proved lower than that in non-cancerous mucosa tissues (p < 0.05). It was also lower in GC cell lines (AGS, BGC-823 and MKN45 cells) than that in gastric epithelial immortalized cell line (GES-1). Clinicopathological analysis showed that USP10 expression was negatively correlated with gastric wall invasion (p = 0.009), nodal metastasis (p = 0.002), and TNM stage (p = 0.000). In contrast, a positively correlation between the expression of USP10 and E-cadherin was found (p < 0.05), but there was no relationship proved between Ki67, p53 and USP10 (p > 0.05). On the Kaplan-Meier survival curves, we found poor prognosis in GC patients was associated with negative USP10 expression (p < 0.05). Moreover, USP10 expression was an independent prognostic factor for the overall survival in multivariate analysis. Our findings suggested that USP10 was an independent predictor of prognosis of GC patients.

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The HER2 gene, which is located on chromosomes 17, is a therapeutic target for cancer. Amplification of HER2 has been described in several tumor types. However, few studies of HER2 gene amplification and protein expression in esophageal carcinoma have been conducted. This study was to investigate the relationship between the expression of HER2/neu and the clinical characteristics, including survival rate, of esophageal squamous carcinoma. The clinical data of 145 patients admitted in Renmin Hospital of Wuhan University, from 2000 to 2005, were reviewed. The HER2 protein expression and gene status in 145 esophageal carcinomas were evaluated using immunohistochemistry and fluorescence in situ hybridization. The survival rate was calculated by the Kaplan-Meier method and the log-rank test using SPSS13.0 software. Compared to normal esophageal epithelium (23/95, 24.2%), HER2 protein was overexpressed in most esophageal squamous carcinoma tissues (60/145, 41.4%), of which 45 (31.0%) were 2+ and 15 (10.4%) were 3+, HER2 overexpression associated significantly with HER2 gene amplification. There is a correlation between the overexpression of HER2 and the differentiation of the carcinoma, the HER2 gene amplification and the differentiation of the carcinoma and the tumor stage. According to univariate analysis, there was a significant difference in survival rates when cases with and without HER-2/neu overexpression or amplification were compared. HER-2/neu amplification/overexpression may be used as an independent prognostic factor in patients with esophageal squamous cancer, and patients with HER-2/neu amplification/overexpression might be potential candidates for new adjuvant therapies that involve the use of humanized monoclonal antibodies.

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Identifying trendline visualizations with desired patterns is a common task during data exploration. Existing visual analytics tools offer limited flexibility, expressiveness, and scalability for such tasks, especially when the pattern of interest is under-specified and approximate. We propose ShapeSearch, an efficient and flexible pattern-searching tool, that enables the search for desired patterns via multiple mechanisms: sketch, natural-language, and visual regular expressions. We develop a novel shape querying algebra, with a minimal set of primitives and operators that can express a wide variety of ShapeSearch queries, and design a naturallanguage and regex-based parser to translate user queries to the algebraic representation. To execute these queries within interactive response times, ShapeSearch uses a fast shape algebra execution engine with query-aware optimizations, and perceptually-aware scoring methodologies. We present a thorough evaluation of the system, including a user study, a case study involving genomics data analysis, as well as performance experiments, comparing against state-of-the-art trendline shape matching approaches-that together demonstrate the usability and scalability of ShapeSearch.