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      • SCIESCOPUSKCI등재

        Pathological Lesions and Inducible Nitric Oxide Synthase Expressions in the Liver of Mice Experimentally Infected with Clonorchis sinensis

        Qing-Li Yang,Ji-Qing Shen,Yan Xue,Xiao-Bing Cheng,Zhi-Hua Jiang,Yi-Chao Yang,Ying-Dan Chen,Xiao-Nong Zhou 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.6

        The nitric oxide (NO) formation and intrinsic nitrosation may be involved in the possible mechanisms of liver fluke-associated carcinogenesis. We still do not know much about the responses of inducible NO synthase (iNOS) induced by Clonorchis sinensis infection. This study was conducted to explore the pathological lesions and iNOS expressions in the liver of mice with different infection intensity levels of C. sinensis. Extensive periductal inflammatory cell infiltration, bile duct hyperplasia, and fibrosis were commonly observed during the infection. The different pathological responses in liver tissues strongly correlated with the infection intensity of C. sinensis. Massive acute spotty necrosis occurred in the liver parenchyma after a severe infection. The iNOS activity in liver tissues increased, and iNOS-expressing cells with morphological differences were observed after a moderate or severe infection. The iNOS-expressing cells in liver tissues had multiple origins.

      • MAGED4 Expression in Glioma and Upregulation in Glioma Cell Lines with 5-Aza-2'-Deoxycytidine Treatment

        Zhang, Qing-Mei,Shen, Ning,Xie, Sha,Bi, Shui-Qing,Luo, Bin,Lin, Yong-Da,Fu, Jun,Zhou, Su-Fang,Luo, Guo-Rong,Xie, Xiao-Xun,Xiao, Shao-Wen Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8

        Melanoma-associated antigen (MAGE) family genes have been considered as potentially promising targets for anticancer immunotherapy. MAGED4 was originally identified as a glioma-specific antigen. Current knowledge about MAGED4 expression in glioma is only based on mRNA analysis and MAGED4 protein expression has not been elucidated. In the present study, we investigated this point and found that MAGED4 mRNA and protein were absent or very lowly expressed in various normal tissues and glioma cell line SHG44, but overexpressed in glioma cell lines A172,U251,U87-MG as well as glioma tissues, with significant heterogeneity. Furthermore, MAGED4 protein expression was positively correlated with the glioma type and grade. We also found that the expression of MAGED4 inversely correlated with the overall methylation status of the MAGED4 promoter CpG island. Furthermore, when SHG44 and A172 with higher methylation were treated with the DNA demethylating agent 5-aza-2'-deoxycytidine (5-AZA-CdR) reactivation of MAGED4 mRNA was mediated by significant demethylation in SHG44 instead of A172. However, 5-AZA-CdR treatment had no effect on MAGED4 protein in both SHG44 and A172 cells. In conclusion, MAGED4 is frequently and highly expressed in glioma and is partly regulated by DNA methylation. The results suggest that MAGED4 might be a promising target for glioma immunotherapy combined with 5-AZA-CdR to enhance its expression and eliminate intratumor heterogeneity.

      • Neutrophil Count and the Inflammation-based Glasgow Prognostic Score Predict Survival in Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy

        Li, Qing-Qing,Lu, Zhi-Hao,Yang, Li,Lu, Ming,Zhang, Xiao-Tian,Li, Jian,Zhou, Jun,Wang, Xi-Cheng,Gong, Ji-Fang,Gao, Jing,Li, Jie,Li, Yan,Shen, Lin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2

        Purpose: To explore the value of systemic inflammatory markers as independent prognostic factors and the extent these markers improve prognostic classification for patients with inoperable advanced or metastatic gastric cancer (GC) receiving palliative chemotherapy. Methods: We studied the prognostic value of systemic inflammatory factors such as circulating white blood cell count and its components as well as that combined to form inflammation-based prognostic scores (Glasgow Prognostic Score (GPS), Neutrophil-Lymphocyte Ratio (NLR), Platelet Lymphocyte Ratio (PLR), Prognostic Index (PI) and Prognostic Nutritional Index (PNI)) in 384 patients with inoperable advanced or metastatic gastric cancer (GC) receiving first-line chemotherapy. Univariate and multivariate analyses were performed to examine the impact of inflammatory markers on overall survival (OS). Results: Univariate analysis revealed that an elevated white blood cell, neutrophil and/or platelet count, a decreased lymphocyte count, a low serum albumin concentration, and high CRP concentration, as well as elevated NLR/PLR, GPS, PI, PNI were significant predictors of shorter OS. Multivariate analysis demonstrated that only elevated neutrophil count (HR 3.696, p=0.003) and higher GPS (HR 1.621, p=0.01) were independent predictors of poor OS. Conclusion: This study demonstrated elevated pretreatment neutrophil count and high GPS to be independent predictors of shorter OS in inoperable advanced or metastatic GC patients treated with first-line chemotherapy. Upon validation of these data in independent studies, stratification of patients using these markers in future clinical trials is recommended.

      • SCIESCOPUSKCI등재

        Antiproliferative activities of Garcinia bracteata extract and its active ingredient, isobractatin, against human tumor cell lines

        Shen, Tao,Li, Wei,Wang, Yan-Yan,Zhong, Qing-Qing,Wang, Shu-Qi,Wang, Xiao-Ning,Ren, Dong-Mei,Lou, Hong-Xiang 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.3

        In our cell based screening of antitumor ingredients from plants, the EtOH extract of Garcinia bracteata displayed antiproliferative effect against human lung adenocarcinoma A549 cells, human breast cancer MCF-7 cells, and human prostate cancer PC3 cells. Phytochemical investigation of this active extract produced nine ingredients, and their structures were established by analysis of MS and NMR spectra. Antiproliferative evaluation of isolated ingredients on A549, MCF-7 and PC3 cells indicated that a xanthone named isobractatin (1) exhibited potent antiproliferative activity against the above three human cancer cell lines with $IC_{50}$ values ranging from 2.90 to $4.15{\mu}M$. Treatment of PC3 cells with 1 led to an enhancement of the cell apoptosis, and arrested cell cycle in the G0/G1 phase. The G0/G1 phase cycle-related proteins analysis showed that the expressions of cyclins D1 and E were reduced by 1, whereas the protein level of cyclin dependent kinase (CDK) inhibitor P21 was induced. Additionally, 1 enhanced PC3 cell apoptosis by activations of Bax, caspases 3 and 9, and by inhibition of Bcl-2. Our combined data illustrated that isobractatin (1) was the antiproliferative ingredient of G. bracteata against three human cancer cell lines, which exerted its antiproliferatrive effect via cell cycle arrest and induction of apoptosis.

      • KCI등재

        Antiproliferative activities of Garcinia bracteata extract and its active ingredient, isobractatin, against human tumor cell lines

        Tao Shen,Wei Li,Yan-Yan Wang,Qing-Qing Zhong,Shu-Qi Wang,Xiao-Ning Wang,Dong-Mei Ren,Hongxiang Lou 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.3

        In our cell based screening of antitumoringredients from plants, the EtOH extract of Garciniabracteata displayed antiproliferative effect against humanlung adenocarcinoma A549 cells, human breast cancerMCF-7 cells, and human prostate cancer PC3 cells. Phytochemicalinvestigation of this active extract producednine ingredients, and their structures were established byanalysis of MS and NMR spectra. Antiproliferative evaluationof isolated ingredients on A549, MCF-7 and PC3cells indicated that a xanthone named isobractatin (1)exhibited potent antiproliferative activity against the abovethree human cancer cell lines with IC50 values rangingfrom 2.90 to 4.15 lM. Treatment of PC3 cells with 1 led toan enhancement of the cell apoptosis, and arrested cellcycle in the G0/G1 phase. The G0/G1 phase cycle-relatedproteins analysis showed that the expressions of cyclins D1and E were reduced by 1, whereas the protein level of cyclin dependent kinase (CDK) inhibitor P21 was induced. Additionally, 1 enhanced PC3 cell apoptosis by activationsof Bax, caspases 3 and 9, and by inhibition of Bcl-2. Ourcombined data illustrated that isobractatin (1) was theantiproliferative ingredient of G. bracteata against threehuman cancer cell lines, which exerted its antiproliferatriveeffect via cell cycle arrest and induction of apoptosis.

      • Metabolomics Investigation of Cutaneous T Cell Lymphoma Based on UHPLC-QTOF/MS

        Zhou, Qing-Yuan,Wang, Yue-Lin,Li, Xia,Shen, Xiao-Yan,Li, Ke-Jia,Zheng, Jie,Yu, Yun-Qiu Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

        Objectives: The identification of cutaneous T cell lymphoma (CTCL) biomarkers may serve as a predictor of disease progression and treatment response. The aim of this study was to map potential biomarkers in CTCL plasma. Design and Methods: Plasma metabolic perturbations between CTCL cases and healthy individuals were investigated using metabolomics and ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS). Results: Principal component analysis (PCA) of the spectra showed clear metabolic changes between the two groups. Thirty six potential biomarkers associated with CTCL were found. Conclusions: Based on PCA, several biomarkers were determined and further identified by LC/MS/MS analysis. All of these could be potential early markers of CTCL. In addition, we established that heparin as a nticoagulant has better pre-treatment results than EDTA with the UHPLC-QTOF/MS appraoch.

      • KCI등재

        Abbreviated MRI Protocols for Detecting Breast Cancer in Women with Dense Breasts

        Shuang-Qing Chen,Min Huang,Yu-Ying Shen,Chen-Lu Liu,Chuan-Xiao Xu 대한영상의학회 2017 Korean Journal of Radiology Vol.18 No.3

        Objective: To evaluate the validity of two abbreviated protocols (AP) of MRI in breast cancer screening of dense breast tissue. Materials and Methods: This was a retrospective study in 356 participants with dense breast tissue and negative mammography results. The study was approved by the Nanjing Medical University Ethics Committee. Patients were imaged with a full diagnostic protocol (FDP) of MRI. Two APs (AP-1 consisting of the first post-contrast subtracted [FAST] and maximum-intensity projection [MIP] images, and AP-2 consisting of AP-1 combined with diffusion-weighted imaging [DWI]) and FDP images were analyzed separately, and the sensitivities and specificities of breast cancer detection were calculated. Results: Of the 356 women, 67 lesions were detected in 67 women (18.8%) by standard MR protocol, and histological examination revealed 14 malignant lesions and 53 benign lesions. The average interpretation time of AP-1 and AP-2 were 37 seconds and 54 seconds, respectively, while the average interpretation time of the FDP was 3 minutes and 25 seconds. The sensitivities of the AP-1, AP-2, and FDP were 92.9, 100, and 100%, respectively, and the specificities of the three MR protocols were 86.5, 95.0, and 96.8%, respectively. There was no significant difference among the three MR protocols in the diagnosis of breast cancer (p > 0.05). However, the specificity of AP-1 was significantly lower than that of AP-2 (p = 0.031) and FDP (p = 0.035), while there was no difference between AP-2 and FDP (p > 0.05). Conclusion: The AP may be efficient in the breast cancer screening of dense breast tissue. FAST and MIP images combined with DWI of MRI are helpful to improve the specificity of breast cancer detection.

      • Efficacy and Toxicity of Anti-VEGF Agents in Patients with Castration-Resistant Prostate Cancer: a Meta-analysis of Prospective Clinical Studies

        Qi, Wei-Xiang,Fu, Shen,Zhang, Qing,Guo, Xiao-Mao Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19

        Background: Blocking angiogenesis by targeting vascular endothelial growth factor (VEGF) signaling pathway to inhibit tumor growth has proven to be successful in treating a variety of different metastatic tumor types, including kidney, colon, ovarian, and lung cancers, but its role in castration-resistant prostate cancer (CRPC) is still unknown. We here aimed to determine the efficacy and toxicities of anti-VEGF agents in patients with CRPC. Materials and Methods: The databases of PubMed, Web of Science and abstracts presented at the American Society of Clinical Oncology up to March 31, 2014 were searched for relevant articles. Pooled estimates of the objective response rate (ORR) and prostate-specific antigen (PSA) response rate (decline ${\geq}50%$) were calculated using the Comprehensive Meta-Analysis (version 2.2.064) software. Median weighted progression-free survival (PFS) and overall survival (OS) time for anti-VEGF monotherapy and anti-VEGF-based doublets were compared by two-sided Student's t test. Results: A total of 3,841 patients from 19 prospective studies (4 randomized controlled trials and 15 prospective nonrandomized cohort studies) were included for analysis. The pooled ORR was 12.4% with a higher response rate of 26.4% (95%CI, 13.6-44.9%) for anti-VEGF-based combinations vs. 6.7% (95%CI, 3.5-12.7%) for anti-VEGF alone (p=0.004). Similarly, the pooled PSA response rate was 32.4% with a higher PSA response rate of 52.8% (95%CI: 40.2-65.1%) for anti-VEGF-based combinations vs. 7.3% (95%CI, 3.6-14.2%) for anti-VEGF alone (p<0.001). Median PFS and OS were 6.9 and 22.1 months with weighted median PFS of 5.6 vs. 6.9 months (p<0.001) and weighted median OS of 13.1 vs. 22.1 months (p<0.001) for anti-VEGF monotherapy vs. anti-VEGF-based doublets. Conclusions: With available evidence, this pooled analysis indicates that anti-VEGF monotherapy has a modest effect in patients with CRPC, and clinical benefits gained from anti-VEGF-based doublets appear greater than anti-VEGF monotherapy.

      • KCI등재

        Fault diagnosis method of rolling bearing using principal component analysis and support vector machine

        Ying-Kui Gu,Xiao-Qing Zhou,Dong-Ping Yu,Yan-Jun Shen 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.11

        To effectively extract the fault feature information of rolling bearings and improve the performance of fault diagnosis, a fault diagnosis method based on principal component analysis and support vector machine was presented, and the rolling bearings signals with different fault states were collected. To address the limitation on effectively dealing with the raw vibration signals by the traditional signal processing technology based on Fourier transform, wavelet packet decomposition was employed to extract the features of bearing faults such as outer ring flaking, inner ring flaking, roller flaking and normal condition. Compared with the previous literature on fault diagnosis using principal component analysis (PCA) and support vector machine (SVM), one-to-one and one-to-many algorithms were taken into account. Additionally, the effect of four kernel functions, such as liner kernel function, polynomial kernel function, radial basis function and hyperbolic tangent kernel function, on the performance of SVM classifier was investigated, and the optimal hype-parameters of SVM classifier model were determined by genetic algorithm optimization. PCA was employed for dimension reduction, so as to reduce the computational complexity. The principal components that reached more than 95 % cumulative contribution rate were extracted by PCA and were input into SVM and BP neural network classifiers for identification. Results show that the fault feature dimensionality of the rolling bearing is reduced from 8-dimensions to 5-dimensions, which can still characterize the bearing status effectively, and the computational complexity is reduced as well. Compared with the raw feature set, PCA has a higher fault diagnosis accuracy (more than 97 %), and a shorter diagnosis time relatively. To better verify the superiority of the proposed method, SVM classification results were compared with the results of BP neural network. It is concluded that SVM classifier achieved a better performance than BP neural network classifier in terms of the classification accuracy and time-cost.

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