Prognostic Value of PLCE1 Expression in Upper Gastrointestinal Cancer: a Systematic Review and Meta-analysis

Cui, Xiao-Bin,Peng, Hao,Li, Su,Li, Ting-Ting,Liu, Chun-Xia,Zhang, Shu-Mao,Jin, Ting-Ting,Hu, Jian-Ming,Jiang, Jin-Fang,Liang, Wei-Hua,Li, Na,Li, Li,Chen, Yun-Zhao,Li, Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22

Background: A number of studies have identified a shared susceptibility locus in phospholipase C epsilon 1 (PLCE1) for esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinomas (GCA). However, the results of PLCE1 expression in esophageal and gastric cancer remain inconsistent and controversial. Moreover, the effects on clinicopathological features remain undetermined. This study aimed to provide a precise quantification of the association between PLCE1 expression and the risk of ESCC and GCA through meta-analysis. Materials and Methods: Eligible studies were identified from PubMed, Wanfang Data, ISI Web of Science, and the Chinese National Knowledge Infrastructure databases. Using RevMan5.2 software, pooled odds ratios (ORs) with 95% confidence intervals (CIs) were employed to assess the association of PLCE1 expression with clinicopathological features relative to ESCC or GCA. Results: Seven articles were identified, including 761 esophageal and gastric cancer cases and 457 controls. Overall, we determined that PLCE1 expression was associated with tumor progression in both esophageal cancers (pooled OR=5.93; 95%CI=3.86 to 9.11) and gastric cancers (pooled OR=9.73; 95%CI=6.46 to 14.7). Moreover, invasion depth (pooled OR=3.62; 95%CI=2.30 to 5.70) and lymph node metastasis (pooled OR=4.21; 95%CI=2.69 to 6.59) were linked with PLCE1 expression in gastric cancer. However, no significant associations were determined between PLCE1 overexpression and the histologic grade, invasion depth, and lymph node metastasis in esophageal cancer. Conclusions: Our metaanalysis results indicated that upregulated PLCE1 is significantly associated with an increased risk of tumor progression in ESCC and GCA. Therefore, PLCE1 expression can be appropriately regarded as a promising biomarker for ESCC and GCA patients.

Apatinib Combined with Local Irradiation Leads to Systemic Tumor Control via Reversal of Immunosuppressive Tumor Microenvironment in Lung Cancer

Li-jun Liang,Chen-xi Hu,Yi-xuan Wen,Xiao-wei Geng,Ting Chen,Guo-qing Gu,Lei Wang,You-you Xia,Yong Liu,Jia-yan Fei,Jie Dong,Feng-hua Zhao,Yiliyar Ahongjiang,Kai-yuan Hui,Xiao-dong Jiang 대한암학회 2020 Cancer Research and Treatment Vol.52 No.2

Purpose This study aimed to investigate the potential systemic antitumor effects of stereotactic ablative radiotherapy (SABR) and apatinib (a novel vascular endothelial growth factor receptor 2 inhibitor) via reversing the immunosuppressive tumor microenvironment for lung carcinoma. Materials and Methods Lewis lung cancer cells were injected into C57BL/6 mice in the left hindlimb (primary tumor; irradiated) and in the right flank (secondary tumor; nonirradiated). When both tumors grew to the touchable size, mice were randomly divided into eight treatment groups. These groups received normal saline or three distinct doses of apatinib (50 mg/kg, 150 mg/kg, and 200 mg/kg) daily for 7 days, in combination with a single dose of 15 Gy radiotherapy or not to the primary tumor. The further tumor growth/regression of mice were followed and observed. Results For the single 15 Gy modality, tumor growth delay could only be observed at the primary tumor. When combining SABR and apatinib 200 mg/kg, significant retardation of both primary and secondary tumor growth could be observed, indicated an abscopal effect was induced. Mechanism analysis suggested that programmed death-ligand 1 expression increased with SABR was counteract by additional apatinib therapy. Furthermore, when apatinib was combined with SABR, the composition of immune cells could be changed. More importantly, this two-pronged approach evoked tumor antigen–specific immune responses and the mice were resistant to another tumor rechallenge, finally, long-term survival was improved. Conclusion Our results suggested that the tumor microenvironment could be managed with apatinib, which was effective in eliciting an abscopal effect induced by SABR.

The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images

Yao-Wen Liang,Yu-Ting Fang,Ting-Chun Lin,Cheng-Ru Yang,Chih-Chang Chang,Hsuan-Kan Chang,Chin-Chu Ko,Tsung-Hsi Tu,Li-Yu Fay,Jau-Ching Wu,Wen-Cheng Huang,Hsiang-Wei Hu,You-Yin Chen,Chao-Hung Kuo 대한척추신경외과학회 2024 Neurospine Vol.21 No.2

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion: Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Mechanical evaluation of polymer microneedles for transdermal drug delivery: In vitro and in vivo

Rui Xuan Liu,Yu Ting He,Ling Liang,Liu Fu Hu,Yue Liu,Rui-xing Yu,Bo Zhi Chen,Yong Cui,Xin Dong Guo 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.114 No.-

In this study, we reported two types of PMNs based on polylactic acid (PLA) and polyvinyl alcohol (PVA),respectively. Parafilm M film, porcine skin, and rats’ models were operated to evaluate the mechanicalproperties in vitro and in vivo to find optimal parameters for efficient insertion. Insertion depth was measuredusing Digital Force Gauge by changing insertion force and speed, respectively. Results showed thatincreasing the insertion force and speed used for PMNs application led to a significant increase in thedepth of insertion. A force of 18 N under a speed of 330 mm/min was the optimal condition for insertingPMNs array into ParafilmM film and porcine skin. In addition, PLA-MNs exhibited higher robustness andenhanced homogeneity in insertion depth compared with PVA-MNs, but PVA-MNs were able to reachmuch deeper insertion depth. Moreover, Sprague Dawley (SD) rat experiments confirmed the effectivenessof optimal insertion parameters for transdermal drug delivery. This study illustrated not only thedevelopment of novel PMNs but also the mechanical evaluation for the design of PMNs.

Experimental Study and Numerical Simulation of Precast Shear Wall with Rabbet-Unbonded Horizontal Connection

Chong-fang Sun,Shu-ting Liang,Xiao-jun Zhu,Hu Li,Jian-min Guo,Gang Li,Ya-min Song,Dong-yue Wu 한국콘크리트학회 2020 International Journal of Concrete Structures and M Vol.14 No.1

This paper reports the results of a seismic performance study of a precast shear wall with a new horizontal connection. The new connection is the rabbet-unbonded horizontal connection, which is composed of rabbets and unbonded rebar segments. The rabbets are used to improve the shear capacity and prevent slippage of the connection, and the unbonded rebar segments are used to improve the ductility and energy dissipation. Three specimens were tested with different parameters under cyclic quasi-static loading. The test results showed that the specimen with a larger unbonded level had a richer hysteresis curve, larger ductility, larger energy dissipation, and slightly smaller bearing capacity. Moreover, in relation to the stiffness degradation, in the initial stage, the specimen with a larger unbonded level had a smaller stiffness, whereas in the last stage, the stiffnesses were similar regardless of the unbonded level. A parameter analysis using a finite element model proved that the ductility and energy dissipation of a shear wall with the rabbet-unbonded horizontal connection increased with the unbonded length and level. In addition, when the axial compression ratio increased, the bearing capacity increased, but the load-displacement curves decreased more rapidly. It was concluded that the unbonded length and unbonded level could effectively improve the ductility and energy dissipation of a shear wall. However, they should not be too large under high pressure, and the design suggestions for the new connection need further research considering other factors.

An Emission-Aware Day-Ahead Power Scheduling System for Internet of Energy

( Chenn-jung Huang ),( Kai-wen Hu ),( An-feng Liu ),( Liang-chun Chen ),( Chih-ting Chen ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10

As a subset of the Internet of Things, the Internet of Energy (IoE) is expected to tackle the problems faced by the current smart grid framework. Notably, the conventional day-ahead power scheduling of the smart grid should be redesigned in the IoE architecture to take into consideration the intermittence of scattered renewable generations, large amounts of power consumption data, and the uncertainty of the arrival time of electric vehicles (EVs). Accordingly, a day-ahead power scheduling system for the future IoE is proposed in this research to maximize the usage of distributed renewables and reduce carbon emission caused by the traditional power generation. Meanwhile, flexible charging mechanism of EVs is employed to provide preferred charging options for moving EVs and flatten the load profile simultaneously. The simulation results revealed that the proposed power scheduling mechanism not only achieves emission reduction and balances power load and supply effectively, but also fits each individual EV user’s preference.

Tip Position Control of a Flexible-Link Manipulator with Neural Networks

Yuan-Gang Tang,Fu-Chun Sun,Zeng-Qi Sun,Ting-Liang Hu 대한전기학회 2006 International Journal of Control, Automation, and Vol.4 No.3

To control the tip position of a flexible-link manipulator;a neural network (NN) controller is proposed in this paper. The dynamics error used to construct NN controller is derived based on output redefinition approach. Without the filtered tracking en-or;the proposed NN controller can still guarantee the closed-loop system uniformly asymptotically stable as well as NN weights bounded. Furthermore;the tracking error of desired trajectory can converge to zero with the proposed controller. For comparison an NN controller with filtered tracking en-or is also designed for the flexible-link manipulator. Finally;simulation studies are carried out to verify the theoretic results.

Establishment of a novel myocarditis mouse model based on cyclosporine A

Zhao Tian Hao,Jiang Yi Xuan,Chen Kai Qin,Qiu Dan,Xu Yan Zhe,Ye Chun,Ren Ting,Zhang Bo,Dai Bin,Hu Jue,Lu Jun,Zhou Fang Liang,Xiao Rong,Lu Fang Guo,Wei Ke 한국유전학회 2022 Genes & Genomics Vol.44 No.12

Background: Myocarditis is a myocardial injury that can easily cause adolescent death. Traditional research models of animal invasion with viral components, lipopolysaccharide (LPS) or porcine myocardial myosin, among others, have the shortcomings of potential biological safety hazards and high animal mortality. Objective: To explore the construction of a novel myocarditis model with cyclosporine A and the potential genes and pathways associated with it. Methods: BALB/c mice were used in this study, and cyclosporin A and LPS were injected into the peritoneal cavity of mice. The successful establishment of the model was assessed by detecting serum myocardial injury markers and inflammatory factors levels, HE, IHC staining, and RT-qPCR methods. Key genes were obtained using the GSE35182 dataset from the GEO database and validated with the RT-qPCR method. Results: We found that a large number of inflammatory cells infiltrated the myocardium of mice in each group of Cyclosporin A constructed model, while the expression of inflammatory factor indicators was increased, and this model has the characteristics of high degree of local inflammation in myocardial tissue, low mortality, and safe and non-toxic treatment. Using GSE35182 data, we selected 18 Hub genes and validated Hub genes in myocardial tissue with RT-qPCR and found that multiple signaling pathways such as Toll-likereceptor signaling pathway(TLRs), Rap1 signal pathway(Rap1), and Chemokine signaling pathway may be involved in the development of myocarditis. Conclusion: Cyclosporin A can construct a new myocarditis model, and TLRs, Chemokines and Rap1 signaling pathways may be the core pathways of myocarditis.