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| 1 | Cell-free plasma hypermethylated CASZ1, CDH13 and ING2 are promising biomarkers of esophageal cancer显示文摘Identifying sensitive and specific biomarkers for early detection of cancer is immensely imperative for early diagnosis and treatment and better clinical outcome of cancer patients. This study aimed to construct a specific DNA methylation pattern of cancer suppressor genes and explore the feasibility of applying cell-free DNA based methylation as a biomarker for early diagnosis of esophageal squamous cell carcinoma(ESCC). We recruited early stage ESCC patients from Yangzhong County, China. The Illumina Infinium 450 K Methylation BeadChip was used to construct a genome-wide DNA methylation profile. Then, differentiated genes were selected for the validation study using the Sequenom MassARRAY platform. The frequency of methylation was compared between cancer tissues, matched cell-free DNAs and normal controls. The specific methylation profiles were constructed, and the sensitivity and specificity were calculated. Seven CG sites in three genes CASZ1, CDH13 and ING2 were significantly hypermethylated in ESCC as compared with normal controls. A significant correlation was found between the methylation of DNA extracted from cancer tissues and matched plasma cell-free DNA, either for individual CG site or for cumulative methylation analysis. The sensitivity and specificity reached 100% at an appropriate cut-point using these specific methylation biomarkers. This study revealed that aberrant DNA methylation is a promising biomarker for molecular diagnosis of esophageal cancer. Hypermethylation of CASZ1,CDH13 and ING2 detected in plasma cell-free DNA can be applied as a potential noninvasive biomarker for diagnosis of esophageal cancer. | Huanqiang Wang Congying Yang Siyuan Wang Tian Wang Jingling Han Kai Wei Fucun Liu Jida Xu Xianzhen Peng Jianming Wang | 2018 | The Journal of Biomedical Research2018，32，6： | 6 |
| 2 | Preparation, characterization, and in vitro release of folic acid-conjugated chitosan nanoparticles loaded with methotrexate for targeted delivery显示文摘 | Jingou Ji Danjun Wu Li Liu Jida Chen Yi Xu | 2012 | Polymer Bulletin2012，，6： | 1 |
| 3 | Preparation, evaluation, and in vitro release of folic acid conjugated O ‐carboxymethyl chitosan nanoparticles loaded with methotrexate显示文摘 | Jingou Ji Danjun Wu Li Liu Jida Chen Yi Xu | 2012 | J Appl Polym Sci2012，，2： | 1 |
| 4 | Genistein induces G2/M cell cycle arrest via stable activation of ERK1/2 pathway in MDA-MB-231 breast cancer cells显示文摘 | Zhong Li Jing Li Baoqing Mo Chunyan Hu Huaqing Liu Hong Qi Xinru Wang Jida Xu | 2008 | Cell Biology and Toxicology2008，，5： | 1 |
| 5 | Selectivity Estimation for String Predicates Based on Modified Pruned Count-Suffix Tree显示文摘The accuracy of predicates selectivity estimation is one of the important factors affecting query optimization performance. State-of-art selectivity estimation algorithms for string predicates based on Pruned countsuffix tree(PST) often suffer severe underestimating and overestimating problems, thus their average relative errors are not good. We analyze the main causes of the underestimating and overestimating prob-lems, propose a novel Restricted pruned count-suffix tree(RPST) and a new pruning strategy. Based on these, we present the EKVI algorithm and the EMO algorithm which are extended from the KVI algorithm and the MO algorithm respectively. The experiments compare the EKVI algorithm and the EMO algorithm with the traditional KVI algorithm and the MO algorithm, and the results show that the average relative errors of our selectivity estimation algorithms are significantly better than the traditional selectivity estimation algorithms. The EMO algorithm is the best among these algorithms from the overall view. | LI Dong ZHANG Qixu LIANG Xiaochong GUAN Jida XU Yang | 2015 | Chinese Journal of Electronics2015，24，1： | 0 |
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