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Zhao L.,Shanghai JiaoTong University | Wu Y.,Shanghai JiaoTong University | Chen S.,Shanghai JiaoTong University | Ren Y.,Fudan University | And 4 more authors.
PLoS ONE | Year: 2016

Objective This study aimed at investigating the feasibility of using the spatiotemporal image correlation (STIC) technology for prenatal cardiac screening, finding factors that influence the offline evaluation of reconstructed fetal heart, and establishing an optimal acquisition scheme. Methods The study included 452 gravidae presenting for routine screening at 3 maternity centers at 20-38 gestational weeks. The factors influencing the quality of STIC volume data were evaluated using t test, chi-square test, and logistic regression analysis. The predictive power was evaluated using the receiver operating characteristic (ROC) curve. Results Among the 452 fetuses enrolled, 353 (78.1%) were identified as successful and 99 (21.9%) as failure of evaluation of the reconstructed fetal heart. The total success rate of qualified STIC images was 78.1%. The display rates of reconstructed cardiac views were 86.5% (four-chamber view), 92.5% (left ventricular outflow tract view), 92.7% (right ventricular outflow tract view), 89.9% (three-vessel trachea view), 63.9% (aortic arch view), 81.4% (ductal arch view), 81% (short-axis view of great vessels), 80.1% (long-cava view), and 86.9% (abdominal view). A logistic regression analysis showed that more than 28 gestational weeks [OR = 0.39 (CI 95% 0.16, 0.19), P = 0.035], frequent fetal movements [OR = 0.37 (CI 95% 0.16, 0.87), P = 0.022], shadowing [OR = 0.36 (CI 95% 0.19, 0.72), P = 0.004], spine location at 10-2o'clock [OR = 0.08 (CI 95% 0.02, 0.27), P = 0.0], and original cardiac view [OR = 0.51 (0.25, 0.89), P = 0.019] had a significant impact on the quality of STIC. The area under the ROC curve was 0.775. Conclusions Fetal cardiac-STIC seems a feasible tool for prenatal screening of congenital heart diseases. The influence factors on the quality of STIC images included the intensity of training, gestational age, fetal conditions and parameter settings. The optimal acquisition scheme may improve the application and widespread use of cardiac STIC. © 2016 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Source


Bao W.,International Peace Maternity and Child Health Hospital of China Welfare Institute | Yu X.-H.,Dalian Obstetrics and Gynecology Hospital | Wan X.-P.,International Peace Maternity and Child Health Hospital of China Welfare Institute
Journal of Shanghai Jiaotong University (Medical Science) | Year: 2012

Neurotrophin-tyrosine kinase receptor (NT-Trk) signaling pathway plays an important role in the neural regulation of development. Now it has been recently revealed that Trk may also participate in the pathogenesis of many malignant tumors. It is demonstrated that the expression of TrkB is related to oncogenesis. The activation of brain-derived neurotrophic factor (BDNF)/TrkB signal transduction pathway stimulates tumor cell survival and angiogenesis, and contributes to the resistance to cytotoxic drugs and anoikis. The role of TrkB signal transduction pathway in tumors is reviewed in this paper. Source


Du L.,International Peace Maternity and Child Health Hospital of China Welfare Institute | Qian X.,International Peace Maternity and Child Health Hospital of China Welfare Institute | Dai C.,Tongji University | Wang L.,International Peace Maternity and Child Health Hospital of China Welfare Institute | And 3 more authors.
Tumori | Year: 2015

Aims and background: Ovarian cancer (OC) is the most lethal gynecologic malignancy. This study aims to explore the molecular mechanisms of OC and identify potential molecular targets for OC treatment. Methods and study design: Microarray gene expression data (GSE14407) including 12 normal ovarian surface epithelia samples and 12 OC epithelia samples were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) between 2 kinds of ovarian tissue were identified by using limma package in R language (|log2 fold change| >1 and false discovery rate [FDR] <0.05). Protein-protein interactions (PPIs) and known OC-related genes were screened from COXPRESdb and GenBank database, respectively. Furthermore, PPI network of top 10 upregulated DEGs and top 10 downregulated DEGs was constructed and visualized through Cytoscape software. Finally, for the genes involved in PPI network, functional enrichment analysis was performed by using DAVID (FDR <0.05). Results: In total, 1136 DEGs were identified, including 544 downregulated and 592 upregulated DEGs. Then, PPI network was constructed, and DEGs CDKN2A, MUC1, OGN, ZIC1, SOX17, and TFAP2A interacted with known OC-related genes CDK4, EGFR/JUN, SRC, CLI1, CTNNB1, and TP53, respectively. Moreover, functions about oxygen transport and embryonic development were enriched by the genes involved in the network of downregulated DEGs. Conclusions: We propose that 4 DEGs (OGN, ZIC1, SOX17, and TFAP2A) and 2 functions (oxygen transport and embryonic development) might play a role in the development of OC. These 4 DEGs and known OC-related genes might serve as therapeutic targets for OC. Further studies are required to validate these predictions. © 2015 INTM, Italy. Source

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