No abstract

The prognostic value of miR-17-92 cluster high-expression in various tumors remains controversial. Therefore, we conducted this meta-analysis by searching literatures in PubMed, Embase, Cochrane Library, China Biology Medicine disc, China National Knowledge Infrastructure to identify eligible studies. Eventually, we analyzed 36 articles that examined 17 tumor types from 4965 patients. Consequently, high-expression of miR-17-92 cluster in various tumors was associated with unfavorable overall survival in both univariate (HR = 2.05, 95%CI: 1.58–2.65, P<0.001) and multivariate (HR = 2.14, 95%CI: 1.75–2.61, P<0.001) analyses. Likewise, similar results were found in different subgroups of country, test method, miR-17-92 cluster component, sample source and size. Additionally, high-expression of miR-17-92 cluster was linked with poor disease-free survival (Univariate: HR = 1.96, 95%CI: 1.55–2.48, P<0.001; Multivariate: HR = 2.18, 95%CI: 1.63–2.91, P<0.001), favorable progression-free survival (Univariate: HR = 0.36, 95%CI: 0.16–0.80, P = 0.012; Multivariate: HR = 1.55, 95%CI: 0.79–3.05, P = 0.201) and poor cancer specific survival in univariate rather than multivariate analyses (Univariate: HR = 1.77, 95%CI: 1.21–2.60, P = 0.004; Multivariate: HR = 1.77, 95%CI: 0.80–3.92, P = 0.160). However, no association of miR-17-92 cluster high-expression was detected with recurrence or relapse-free survival. In summary, this meta-analysis towards high-expression of miR-17-92 cluster has indicated poor prognosis of various cancers. Notably, future studies comprising large cohort size from multicenter are required to confirm our conclusions.

Hierarchical classification learning is a hot research topic in machine learning and data mining domains, and many feature selection algorithms with category hierarchy have been proposed. However, existing algorithms assume that the feature space of data is completely obtained in advance, and ignore its uncertainty and dynamicity. To address these problems, we propose an online streaming feature selection framework with a hierarchical structure to solve the above two problems simultaneously. First, we apply the hierarchical relationship between nodes in a hierarchical structure to the Relief algorithm, so that it can be used to compute the weights of dynamic features. Second, we dynamically select important features for each internal node via comparing the magnitude of the weights of features on these nodes with their parent and sibling nodes. In addition, we perform redundancy analysis of features by calculating the covariance between features to obtain a superior online feature subset for each internal node. Finally, the proposed algorithm is compared with six online streaming feature selection methods on six hierarchical data sets, and experimental results shows that the classification performance of the proposed algorithm is effective.

To compare the feasibility and advantage of traditional tiling method and shaft method to place biological mesh following laparoscopic repair of inguinal hernia.Sixty cases from January 2013 to January 2014 treated with laparoscopic inguinal hernia neoplasty with biological patches were included. All the cases were randomly divided into control group and observation group. Observation group was treated with shaft method to place biological mesh, while control group was treated with traditional tiling method. The length of the operation, hospital fees, and rate of occurrence of surgical complications were compared.All 60 cases were successfully treated with laparoscope inguinal hernia repair. None were converted to open operations. Total operation times for the observation group and control group were 54 ± 4.5 and 71 ± 7.2 minutes, respectively (P < .05). The hospital fees of the observation group and control group were 21,280 ± 365 RenMinBi Yuan (RMB) and 24,280 ± 428 RMB, respectively (P < .05). The rates of occurrence of surgical complications were 3.33% (1/30) and 16.7% (5/30), respectively (P < .05).The shaft method can be applied in laparoscopic inguinal hernia repair with biological mesh. Compared with the traditional method, the shaft method has apparent advantages, fewer complications during and after the operation.