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      • Heparanase mRNA and Protein Expression Correlates with Clinicopathologic Features of Gastric Cancer Patients: a Meta-analysis

        Li, Hai-Long,Gu, Jing,Wu, Jian-Jun,Ma, Chun-Lin,Yang, Ya-Li,Wang, Hu-Ping,Wang, Jing,Wang, Yong,Chen, Che,Wu, Hong-Yan Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.18

        Background: Heparanase is believed to be involved in gastric carcinogenesis. However, the clinicopathologic features of gastric cancer with high heparanase expression remain unclear. Aim : The purpose of this study was to comprehensively and quantitatively summarize available evidence for the use of heparanase mRNA and protein expression to evaluate the clinicopathological associations in gastric cancer in Asian patients by meta-analysis. Materials and Methods: Relevant articles listed in MEDLINE, CNKI and the Cochrane Library databases up to MARCH 2015 were searched by use of several keywords in electronic databases. A meta-analysis was performed to clarify the impact of heparanase mRNA and protein on clinicopathological parameters in gastric cancer. Combined ORs with 95%CIs were calculated by Revman 5.0, and publication bias testing was performed by stata12.0. Results: A total of 27 studies which included 3,891 gastric cancer patients were combined in the final analysis. When stratifying the studies by the pathological variables of heparanase mRNA expression, the depth of invasion (633 patients) (OR=4.96; 95% CI=2.38-1.37; P<0.0001), lymph node metastasis (639 patients) (OR=6.22; 95%CI=2.70-14.34, P<0.0001), and lymph node metastasis (383 patients) (OR=6.85; 95% CI=2.04-23.04; P=0.002) were all significant. When stratifying the studies by the pathological variables of heparanase protein expression, this was the case for depth of invasion (1250 patients) (OR=2.76; 95% CI=1.52-5.03; P=0.0009), lymph node metastasis (1178 patients) (OR=4.79 ; 95% CI=3.37-6.80, P<0.00001), tumor size (727 patients) (OR=2.06 ; 95% CI=1.31-3.23; P=0.002) (OR=2.61; 95% CI=2.09-3.27; P=0.000), and TNM stage (1233 patients) (OR=6.85; 95% CI=2.04-23.04; P=0.002). Egger's tests suggested publication bias for depth of invasion, lymph node metastasis, lymph node metastasis and tumor size of heparanase mRNA and protein expression. Conclusions: This meta-analysis suggests that higher heparanase expression in gastric cancer is associated with clinicopathologic features of depth of invasion, lymph node metastasis and TNM stage at mRNA and protein levels, and of tumor size only at the protein level. Egger's tests suggested publication bias for these clinicopathologic features of heparanase mRNA and protein expression, and which may be caused by shortage of relevant studies. As a result, although abundant reports showed heparanase may be associated with clinicopathologic features in gastric cancer, this meta-analysis indicates that more strict studies were needed to evaluate its clinicopathologic significance.

      • Comprehensive Study on Associations Between Nine SNPs and Glioma Risk

        Liu, Hai-Bo,Peng, Yu-Ping,Dou, Chang-Wu,Su, Xiu-Lan,Gao, Nai-Kang,Tian, Fu-Ming,Bai, Jie Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10

        Aim: Glioma cancer is the most common type of adult brain tumor. Recent genome-wide association studies (GWAS) have identified various new susceptibility regions and here we conducted an extensive analysis of associations between 12 single nucleotide polymorphisms (SNPs) and glioma risk. Methods: A total of 197 glioma cases and 197 health controls were selected, and 9 SNPs in 8 genes were analyzed using the Sequenom MassARRAY platform and Sequenom Assay Design 3.1 software. Results: We found the MAF among selected controls were consistent with the MAF from the NCBI SNP database. Among 9 SNPs in 8 genes, we identified four significant SNP genotypes associated with the risk of glioma, C/C genotype at rs730437 and T/T genotype at rs1468727 in ERGF were protective against glioma, whereas the T/T genotype at rs1799782 in XRCC1 and C/C genotype at rs861539 in XRCC3 conferred elevated risk. Conclusion: Our comprehensive analysis of nine SNPs in eight genes suggests that the rs730437 and rs1468727 in ERGF, rs1799782 in XRCC1 gene, and rs861539 in XRCC3 gene are associated with glioma risk. These findings indicate that genetic variants of various genes play a complex role in the development of glioma.

      • KCI등재

        Dynamics of excitons and carriers at the NPB/C60 interface by transient photocurrents

        Li Ping,De Yang Xiu,Wu Bo,Zhang Yu,Jiang Ze Zhuan,Bao Xi,Huang Hai Shen 한국물리학회 2020 Current Applied Physics Vol.20 No.5

        The transient photocurrent (TPC) technique was performed to explore the dynamics of excitons and carriers at organic active layer/buffer layer interfaces. A special device with ITO/PEIE/NPB/C60/Al structure was designed to study the interfacial processes at the NPB/C60 interface. An external electrical field was provided to neutralize the built-in electrical field of the device. Interestingly, a new phenomenon was observed, wherein the polarity of the TPC changed from negative to positive under an external electrical field. The initial negative signal was ascribed to exciton separation by the built-in field in C60, and the subsequent positive signal can be attributed to the diffusion of electrons that accumulate at the NPB/C60 interface. TPC measurements shown that further increasing the external electrical field causes polarity to change twice. Analyzing the two changes in polarity revealed that the NPB did not only extract holes from C60 but also provided an effective interface for exciton dissociation.

      • 4-Hydroxynonenal Promotes Growth and Angiogenesis of Breast Cancer Cells through HIF-1α Stabilization

        Li, Yao-Ping,Tian, Fu-Guo,Shi, Peng-Cheng,Guo, Ling-Yun,Wu, Hai-Ming,Chen, Run-Qi,Xue, Jin-Ming Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.23

        4-Hydroxynonenal (4-HNE) is a stable end product of lipid peroxidation, which has been shown to play an important role in cell signal transduction, while increasing cell growth and differentiation. 4-HNE could inhibit phosphatase and tensin homolog (PTEN) activity in hepatocytes and increased levels have been found in human invasive breast cancer. Here we report that 4-HNE increased the cell growth of breast cancer cells as revealed by colony formation assay. Moreover, vascular endothelial growth factor (VEGF) expression was elevated, while protein levels of hypoxia inducible factor 1 alpha (HIF-$1{\alpha}$) were up-regulated. Sirtuin-3 (SIRT3), a major mitochondria NAD+-dependent deacetylase, is reported to destabilize HIF-$1{\alpha}$. Here, 4-HNE could inhibit the deacetylase activity of SIRT3 by thiol-specific modification. We further demonstrated that the regulation by 4-HNE of levels of HIF-$1{\alpha}$ and VEGF depends on SIRT3. Consistent with this, 4-HNE could not increase the cell growth in SIRT3 knockdown breast cancer cells. Additionally, 4-HNE promoted angiogenesis and invasion of breast cancer cells in a SIRT3-dependent manner. In conclusion, we propose that 4-HNE promotes growth, invasion and angiogenesis of breast cancer cells through the SIRT3-HIF-$1{\alpha}$-VEGF axis.

      • The XRCC1 Arg280His Gene Polymorphism and Hepatocellular Carcinoma Risk: A Meta-analysis

        Li, Lu-Ping,Wu, Wei,Li, Xing-Hai,Song, Shu-Sen Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3

        Many studies have suggested that the XRCC1 Arg280His gene polymorphism might be involved in the development of hepatocellular carcinoma (HCC). However, the results have been inconsistent. In this study, the authors performed a meta-analysis to assess the association between XRCC1 Arg280His and HCC susceptibility. Published literature from PubMed, EMBASE and CNKI Data was searched. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using fixed- or random-effects models when appropriate. Begg's test was used to measure publication bias. A total of 7 case-control studies covering 1,448 HCC cases and 1,544 controls were included. No significant variation in HCC risk was detected in any of the genetic models overall. In the stratified analysis, four studies with sample sizes over 300 produced similar results. The corresponding pooled ORs were not substantially altered after the exclusion of three studies deviating from Hardy-Weinberg equilibrium in the control group, which indicated reliability for our meta-analysis results.

      • KCI등재

        Investigation of defects in SiCp/A356 composites made by a stir casting method

        Han Jian-min,Wu Zhao-ling,Cui Shi-hai,Li Wei-Jing,DuYong-ping 한양대학교 세라믹연구소 2007 Journal of Ceramic Processing Research Vol.8 No.1

        A stir casting method is one of the most competitive methods for fabricating SiC particle reinforced aluminum matrix composites because of its low cost with competitive quality. However, defects formed in the composites during the fabrication process will deteriorate their properties. Different kinds of defects such as black inclusions related to agglomerated SiC, silver spots related to Al-Fe-Si phases, white inclusions related to Al2O3 and porosity related to gas and SiC agglomeration are investigated in this paper. Based on these investigations, a technique for improving the quality of SiCp/A356 composites fabricated by a stir casting method is proposed. A SiCp/A356 composite with few defects and good properties was fabricated with the improved stir casting process. A stir casting method is one of the most competitive methods for fabricating SiC particle reinforced aluminum matrix composites because of its low cost with competitive quality. However, defects formed in the composites during the fabrication process will deteriorate their properties. Different kinds of defects such as black inclusions related to agglomerated SiC, silver spots related to Al-Fe-Si phases, white inclusions related to Al2O3 and porosity related to gas and SiC agglomeration are investigated in this paper. Based on these investigations, a technique for improving the quality of SiCp/A356 composites fabricated by a stir casting method is proposed. A SiCp/A356 composite with few defects and good properties was fabricated with the improved stir casting process.

      • KCI등재

        Differential expression and functional analysis of circRNA in the ovaries of Yili geese at different egg-laying stages

        Zhao Xiao-yu,Wu Ying-ping,Li Hai-ying,Cao Yan,Mei Zhi-yong,Li Jia-hui 한국유전학회 2022 Genes & Genomics Vol.44 No.10

        Background: Ovarian development is regulated by genes that are expressed dynamically and stage-specifically. Circular RNA (circRNA) has been proven to play a significant role in the regulation of animal reproduction. Objective: Studying the expression characteristics of circRNAs in goose ovaries at various egg-laying stages can provide a reference for the molecular regulation mechanism of ovary development in geese that is mediated by circRNAs. Methods: In this study, the expression profiles of circRNAs were compared in ovary tissues from Yili geese in three different breeding periods, namely the prelaying period (KL), laying period (CL), and ceased period (XL), and differentially expressed circRNAs related to ovarian development in Yili geese were screened. The potential biological functions of differential circRNAs were predicted by bioinformatics, and the differential circRNA-miRNA regulatory network was constructed. Results: The results showed that a total of 4483 circRNAs were identified in 12 ovarian tissue samples from Yili geese at different laying stages. In the KL vs. CL, XL vs. CL, and XL vs. KL groups, 159, 455, and 383 differentially expressed circRNAs were identified, respectively. The host genes of the differential circRNAs were mostly enriched in the signal transduction, metabolism, and other related pathways, such as those for phototransduction, glycerophospholipid metabolism, aminoacyl-tRNA biosynthesis, and retinol metabolism. Finally, we constructed circRNA-miRNA regulation networks. Nine differential circRNAs were randomly selected for qRT-PCR verification, and the expression trends were consistent with the sequencing results. Conclusions: Our results indicated that significant differences in the expression profiles of circRNAs in the ovaries of Yili geese at different egg-laying stages. Meanwhile, through analyzing the differential circRNA-miRNA interaction network, core regulators such as circRNA NW_013186107.1:36835|52,574 and gga-miR-34b-5p were screened. This study provides a reference for the further analysis of the molecular regulatory mechanism of the circRNAs regulating goose ovary development and enriches the theory of genetic regulation during goose ovary development.

      • Prediction Models for Solitary Pulmonary Nodules Based on Curvelet Textural Features and Clinical Parameters

        Wang, Jing-Jing,Wu, Hai-Feng,Sun, Tao,Li, Xia,Wang, Wei,Tao, Li-Xin,Huo, Da,Lv, Ping-Xin,He, Wen,Guo, Xiu-Hua Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.10

        Lung cancer, one of the leading causes of cancer-related deaths, usually appears as solitary pulmonary nodules (SPNs) which are hard to diagnose using the naked eye. In this paper, curvelet-based textural features and clinical parameters are used with three prediction models [a multilevel model, a least absolute shrinkage and selection operator (LASSO) regression method, and a support vector machine (SVM)] to improve the diagnosis of benign and malignant SPNs. Dimensionality reduction of the original curvelet-based textural features was achieved using principal component analysis. In addition, non-conditional logistical regression was used to find clinical predictors among demographic parameters and morphological features. The results showed that, combined with 11 clinical predictors, the accuracy rates using 12 principal components were higher than those using the original curvelet-based textural features. To evaluate the models, 10-fold cross validation and back substitution were applied. The results obtained, respectively, were 0.8549 and 0.9221 for the LASSO method, 0.9443 and 0.9831 for SVM, and 0.8722 and 0.9722 for the multilevel model. All in all, it was found that using curvelet-based textural features after dimensionality reduction and using clinical predictors, the highest accuracy rate was achieved with SVM. The method may be used as an auxiliary tool to differentiate between benign and malignant SPNs in CT images.

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