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Roles of GST-π and polβ Genes in Chemoresistance of Esophageal Carcinoma Cells

  • Tang, Yue;Xuan, Xiao-Yan;Li, Min;Dong, Zi-Ming
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7375-7379
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    • 2013
  • The main aim of this study was to investigate the roles of GST-${\pi}$ and $pol{\beta}$ genes in the chemoresistance of esophageal carcinoma cells. Eukaryotic expression vectors containing each gene were constructed and transfected into EC9706 cells, and the biological effects of the two genes assessed based on a resistance index. We additionally investigated the in vitro and in vivo anti-resistance effects of GST-${\pi}$ and $pol{\beta}$ genes using recombinant lentiviruses carrying siRNAs against the two genes. Our results showed that upregulation of GST-${\pi}$ and $pol{\beta}$ genes suppresses chemosensitivity of esophageal carcinoma cells to cisplatin, while downregulation of these two genes with RNAi technology reverses this chemoresistance. Multi-site injection of recombinant lentivirus targeting the GST-${\pi}$ gene into transplanted cDDP tumors effectively reversed their chemoresistant phenotype. However, the same treatment against the $pol{\beta}$ gene did not lead to significant efficacy against chemoresistance.

Type 3 muscarinic acetylcholine receptor stimulation is a determinant of endothelial barrier function and adherens junctions integrity: role of protein-tyrosine phosphatase 1B

  • Jiao, Zhou-Yang;Wu, Jing;Liu, Chao;Wen, Bing;Zhao, Wen-Zeng;Du, Xin-Ling
    • BMB Reports
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    • v.47 no.10
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    • pp.552-557
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    • 2014
  • The main purpose of this study was to investigate whether type 3 muscarinic acetylcholine receptor (M3R) dysfunction induced vascular hyperpermeability. Transwell system analysis showed that M3R inhibition by selective antagonist 4-diphenylacetoxy-N-methylpiperidine methiodide (4-DAMP) and small interfering RNA both increased endothelial permeability. Using coimmunoprecipitation and Western blot assay, we found that M3R inhibition increased VE-cadherin and ${\beta}$-catenin tyrosine phosphorylation without affecting their expression. Using PTP1B siRNA, we found that PTP1B was required for maintaining VE-cadherin and ${\beta}$-catenin protein dephosphorylation. In addition, 4-DAMP suppressed PTP1B activity by reducing cyclic adenosine monophosphate (cAMP), but not protein kinase $C{\alpha}$ ($PKC{\alpha}$). These data indicate that M3R preserves the endothelial barrier function through a mechanism potentially maintaining PTP1B activity, keeping the adherens junction proteins (AJPs) dephosphorylation.

3D CACT-assisted Radiofrequency Ablation Following Transarterial Chemoembolization for Hepatocellular Carcinoma: Early Experience

  • Jiao, De-Chao;Han, Xin-Wei;Wu, Gang;Ren, Jian-Zhuang
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7897-7903
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    • 2015
  • Background: To explored the value of 3D C-arm CT (CACT) guidance system in performing radiofrequency ablation (RFA) following transarterial chemoembolizationon (TACE) for hepatocellular carcinomas. Materials and Methods: RFA of hepatocellular carcinomas (HCC) were performed on 15 patients (21 lesions) with the assistance of CACT guidance system. Technical success, procedure time, complications and patient radiation exposure were investigated. The puncture performance level was evaluated on a five-point scale (5-1: excellent-poor). Complete ablation rate was evaluated after two months follow-up using enhanced CT scans. Results: The technical success rate of RFA procedure under CACT navigation system was 100 %. Mean total procedure time was $24.24{\pm}6.53min$, resulting in a mean effective exposure dose of $15.4{\pm}5.1mSv$. The mean puncture performance level rated for CACT guided RFA procedure was $4.87{\pm}0.35$. Complete ablation (CA) was achieved in 20 (95.2%) of the treated 21 tumors after the first RFA session. None of patients developed intra-procedural complications. Conclusions: 3D CACT guidance system enables reliable and efficient needle positioning by providing real-time intraoperative guidance for performing RFA on HCCs.

Clinical Significance of Combined Detection of Serum Tumor Markers in Diagnosis of Patients with Ovarian Cancer

  • Bian, Jing;Li, Bo;Kou, Xian-Juan;Liu, Tian-Zhou;Ming, Liang
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.11
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    • pp.6241-6243
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    • 2013
  • Objective: To explore the predictive value of tumor markers, including cancer antigen 72-4 (CA72-4), cancer antigen 15-3 (CA15-3) and cancer antigen 125 (CA125), in single or combined detection, for the diagnosis of ovarian cancer. Methods: 120 patients diagnosed with ovarian cancer from August 2011 to March 2013 and 80 patients diagnosed with benign ovarian tumors were enrolled in this test, along with 50 health examination women randomly selected from the database as controls. Serum levels of CA72-4, CA15-3 and CA125 in this study were determined by electrochemiluminescence (ECL). Results: Serum levels of CA72-4, CA15-3 and CA125 in ovarian cancer were higher than those in healthy group and benign group (P<0.01).The sensitivity of combined detection of those three tumor markers for diagnosis of ovarian cancer was obviously higher than with single detection with each marker (P<0.01). Conclusions: CA72-4, CA15-3 and CA125 could be a good combination in the diagnosis of ovarian cancer. Patients whose tumor markers continue to increase should be highly suspected of malignancy.

Recommendations Based on Listwise Learning-to-Rank by Incorporating Social Information

  • Fang, Chen;Zhang, Hengwei;Zhang, Ming;Wang, Jindong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.1
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    • pp.109-134
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    • 2018
  • Collaborative Filtering (CF) is widely used in recommendation field, which can be divided into rating-based CF and learning-to-rank based CF. Although many methods have been proposed based on these two kinds of CF, there still be room for improvement. Firstly, the data sparsity problem still remains a big challenge for CF algorithms. Secondly, the malicious rating given by some illegal users may affect the recommendation accuracy. Existing CF algorithms seldom took both of the two observations into consideration. In this paper, we propose a recommendation method based on listwise learning-to-rank by incorporating users' social information. By taking both ratings and order of items into consideration, the Plackett-Luce model is presented to find more accurate similar users. In order to alleviate the data sparsity problem, the improved matrix factorization model by integrating the influence of similar users is proposed to predict the rating. On the basis of exploring the trust relationship between users according to their social information, a listwise learning-to-rank algorithm is proposed to learn an optimal ranking model, which can output the recommendation list more consistent with the user preference. Comprehensive experiments conducted on two public real-world datasets show that our approach not only achieves high recommendation accuracy in relatively short runtime, but also is able to reduce the impact of malicious ratings.

Natural wind impact analysis of transiting test method to measure wind pressure coefficients

  • Liu, Lulu;Li, Shengli;Guo, Pan;Wang, Xidong
    • Wind and Structures
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    • v.30 no.2
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    • pp.199-210
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    • 2020
  • Building wind pressure coefficient transiting test is a new method to test the building wind pressure coefficient by using the wind generated by a moving vehicle, which is susceptible to natural wind and other factors. In this paper, the Commonwealth Advisory Aeronautical Research Council standard model with a scale ratio of 1:300 is used as the test object, and the wind pressure coefficient transiting test is repeated under different natural wind conditions to study the influence of natural wind. Natural wind is measured by an ultrasonic anemometer at a fixed location. All building wind pressure coefficient transiting tests meet the test conditions, and the vehicle's driving speed is 72 km/h. The mean wind pressure coefficient, the fluctuating wind pressure coefficient, and the correlation coefficient of wind pressure are used to describe the influence of natural wind on the building wind pressure coefficient transiting test qualitatively and quantitatively. Some rules, which can also help subsequent transiting tests, are also summarized.

Utility of Serum Peptidome Patterns of Esophageal Squamous Cell Carcinoma Patients for Comprehensive Treatment

  • Wan, Qing-Lian;Hou, Xiang-Sheng;Zhao, Guang
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.5
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    • pp.2919-2923
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    • 2013
  • Esophageal cancer (EC) is one of the most common malignant tumors, and the incidence of esophageal squamous cell carcinoma (ESCC) is highest in China. Early diagnosis and effective monitoring are keys to comprehensive treatment and discovering tumor metastases and recurrence in time. The aim of this study was to confirm serum peptidome pattern utility for diagnosis of ESCC, and assessment of operation success, postoperative chemotherapy results, tumor metastasis and recurrence. Serum samples were collected from 61 patients treated with surgery and chemotherapy and 20 healthy individuals. Spectral data generated with weak cationic-exchanger magnetic beads (WCX-MB) and MALDI-TOF MS by a support vector machine (SVM), were used to construct diagnostic models and system training as potential biomarkers. A pattern consisting of 11 protein peaks, separated ESCC (m/z 650.75), operated (m/z 676.61, 786.1, 786.58), postoperative chemotherapy (m/z 622.77, 650.66, 676.46) and tumor metastasis and recurrence (m/z 622.63, 650.56, 690.77, 676.12) from the healthy individuals with a sensitivity of 100.0% and a specificity of 100.0%. These results suggested that MALDITOF MS combined with MB separation yields significantly higher sensitivity and specificity for the detection of serum protein in patients with EC patients treated with surgery and chemotherapy.

Optimal Gabor Filters for Steganalysis of Content-Adaptive JPEG Steganography

  • Song, Xiaofeng;Liu, Fenlin;Chen, Liju;Yang, Chunfang;Luo, Xiangyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.1
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    • pp.552-569
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    • 2017
  • The existing steganalysis method based on 2D Gabor filters can achieve a competitive detection performance for content-adaptive JPEG steganography. However, the feature dimensionality is still high and the time-consuming of feature extraction is relatively large because the optimal selection is not performed for 2D Gabor filters. To solve this problem, a new steganalysis method is proposed for content-adaptive JPEG steganography by selecting the optimal 2D Gabor filters. For the proposed method, the 2D Gabor filters with different parameter settings are generated first. Then, the feature is extracted by each 2D Gabor filter and the corresponding detection accuracy is used as the measure for filter selection. Next, some 2D Gabor filters are selected by a greedy strategy and the steganalysis feature is extracted by the selected filters. Last, the ensemble classifier is used to assemble the proposed steganalysis feature as well as the final steganalyzer. The experimental results show that the steganalysis feature extracted by the selected optimal 2D Gabor filters also can achieve a competitive detection performance while the feature dimensionality is reduced greatly.

New Blind Steganalysis Framework Combining Image Retrieval and Outlier Detection

  • Wu, Yunda;Zhang, Tao;Hou, Xiaodan;Xu, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5643-5656
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    • 2016
  • The detection accuracy of steganalysis depends on many factors, including the embedding algorithm, the payload size, the steganalysis feature space and the properties of the cover source. In practice, the cover source mismatch (CSM) problem has been recognized as the single most important factor negatively affecting the performance. To address this problem, we propose a new framework for blind, universal steganalysis which uses traditional steganalyst features. Firstly, cover images with the same statistical properties are searched from a reference image database as aided samples. The test image and its aided samples form a whole test set. Then, by assuming that most of the aided samples are innocent, we conduct outlier detection on the test set to judge the test image as cover or stego. In this way, the framework has removed the need for training. Hence, it does not suffer from cover source mismatch. Because it performs anomaly detection rather than classification, this method is totally unsupervised. The results in our study show that this framework works superior than one-class support vector machine and the outlier detector without considering the image retrieval process.

Improved Meet-in-the-Middle Attacks on Crypton and mCrypton

  • Cui, Jingyi;Guo, Jiansheng;Huang, Yanyan;Liu, Yipeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2660-2679
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    • 2017
  • Crypton is a SP-network block cipher that attracts much attention because of its excellent performance on hardware. Based on Crypton, mCrypton is designed as a lightweight block cipher suitable for Internet of Things (IoT) and Radio Frequency Identification (RFID). The security of Crypton and mCrypton under meet-in-the-middle attack is analyzed in this paper. By analyzing the differential properties of cell permutation, several differential characteristics are introduced to construct generalized ${\delta}-sets$. With the usage of a generalized ${\delta}-set$ and differential enumeration technique, a 6-round meet-in-the-middle distinguisher is proposed to give the first meet-in-the-middle attack on 9-round Crypton-192 and some improvements on the cryptanalysis of 10-round Crypton-256 are given. Combined with the properties of nibble permutation and substitution, an improved meet-in-the-middle attack on 8-round mCrypton is proposed and the first complete attack on 9-round mCrypton-96 is proposed.