Guo S.,Fudan University |
Guo S.,Fudan Taizhou Institute of Health science |
Yan F.,Fudan University |
Xu J.,Changzheng Hospital of Shanghai |
And 15 more authors.
Clinical Epigenetics | Year: 2015
Background: DNA methylation was suggested as the promising biomarker for lung cancer diagnosis. However, it is a great challenge to search for the optimal combination of methylation biomarkers to obtain maximum diagnostic performance.Results: In this study, we developed a panel of DNA methylation biomarkers and validated their diagnostic efficiency for non-small cell lung cancer (NSCLC) in a large Chinese Han NSCLC retrospective cohort. Three high-throughput DNA methylation microarray datasets (458 samples) were collected in the discovery stage. After normalization, batch effect elimination and integration, significantly differentially methylated genes and the best combination of the biomarkers were determined by the leave-one-out SVM (support vector machine) feature selection procedure. Then, candidate promoters were examined by the methylation status determined single nucleotide primer extension technique (MSD-SNuPET) in an independent set of 150 pairwise NSCLC/normal tissues. Four statistical models with fivefold cross-validation were used to evaluate the performance of the discriminatory algorithms. The sensitivity, specificity and accuracy were 86.3%, 95.7% and 91%, respectively, in Bayes tree model. The logistic regression model incorporated five gene methylation signatures at AGTR1, GALR1, SLC5A8, ZMYND10 and NTSR1, adjusted for age, sex and smoking, showed robust performances in which the sensitivity, specificity, accuracy, and area under the curve (AUC) were 78%, 97%, 87%, and 0.91, respectively.Conclusions: In summary, a high-throughput DNA methylation microarray dataset followed by batch effect elimination can be a good strategy to discover optimal DNA methylation diagnostic panels. Methylation profiles of AGTR1, GALR1, SLC5A8, ZMYND10 and NTSR1, could be an effective methylation-based assay for NSCLC diagnosis. © 2015 Guo et al
Lu S.,Shanghai University |
Xue L.,Shanghai University |
Wang J.,Changzheng Hospital of Shanghai
2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 | Year: 2010
The ability of cardiac pump function is mainly decided by the amount of cardiac work and its clinical significance is obvious. The pump per stroke work of heart can given by the increase in blood pressure and the kinetic energy of the ejection blood. With the changing left ventricular pressure during the period, accurate calculation of ventricular stroke work is very difficult. There have many difficult in measurement of cardiac output and assessment of ventricular blood pressure is very convenient if insert conduit. This paper analyzes the ability of left ventricular ejection ,summed up the traditional analysis of left ventricular ejection ability, and presents a dynamic simulation model to estimate the left ventricle of left ventricular Micro-Surface doing work to analyze the amount of left ventricular function which is based on the theory of elastic cavity. ©2010 IEEE.
Gu X.-M.,Hangzhou Normal University |
Jia L.-S.,Changzheng Hospital of Shanghai |
Chen X.-S.,Changzheng Hospital of Shanghai |
Lu C.-L.,Changzheng Hospital of Shanghai |
And 2 more authors.
Yiyong Shengwu Lixue/Journal of Medical Biomechanics | Year: 2010
Objective To construct three-dimensional finite element model of lumbar spondylolysis, then to verify its validity by comparison of biomechanics in vitro. Method According to the radiological data of a patient with lumbar spondylolysis, the bone and intervertebral disc of L4-S1 were reconstructed by Simpleware software. The lumbar attaching ligaments and articular capsule were added into simulating model by Ansys software. The three-dimensional finite element model of lumbar spondylolysis was finally simulated successfully, and validated by lumbar spondylolysis biomechanical experiment in vitro. Results The reconstruction of digital model contained the bones of lumbar spine which include vertebral cortical bone, cancellous bone, facet joint, pedicle, lamina, transverse process and spinous process, as well as the annulus fibrosus, nucleus pulposus, superior and inferior end-plates. Besides, anterior and posterior longitudinal ligaments, flavum ligament, supraspinal and interspinal ligaments and articular capsule of facet joint are also attached. The model consisted of 281, 261 nodes and 661, 150 elements. Imitation of spondylolysis is well done in this model. The validity of the model was verified by comparison of the results of biomechanics in vitro which involved in the trends under loading of stress/strain of L4 inferior facet process, L5 superior and inferior facet process, S1 superior facet process and the trends of stress/strain of lateral and medial L4 inferior facet process. Conclusions Three-dimensional model of lumbar spondylolysis is reconstructed using finite element analysis, and can be further used in the research in biomechanics of lumbar spondylolysis.