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Donghoon Kang,Jae Myung Park,Sung Hak Lee,Yu Kyung Cho,Bo-In Lee,Myung-Gyu Choi 대한상부위장관ㆍ헬리코박터학회 2023 Korean Journal of Helicobacter Upper Gastrointesti Vol.23 No.4
Objectives: Adenosine triphosphate-binding cassette subfamily G member 2 (ABCG2) and CD133 are recognized stem cell markers of gastric cancer. Extensive research has examined the significance of these markers in different types of cancers and their impact on prognoses, linking them to unfavorable clinical outcomes in various tumors. However, the prognostic value of these markers for gastric cancer remains unclear. We investigated the expression of ABCG2 and CD133 and their relationship with clinical outcomes in gastric cancer.Methods: ABCG2 and CD133 expression levels were analyzed, using immunohistochemistry and tissue microarrays, in tumor samples from 459 patients who underwent surgical resections due to gastric cancer. ABCG2 and CD133 expression levels were defined by intensity and dichotomized as medians. The associations among the expression levels of these markers, disease severity, and patient survival were also determined.Results: In the 411 patients for whom we analyzed the expression levels of these markers, 74.9% and 80.5% were found to have high levels of ABCG2 and CD133, respectively. High expression levels of ABCG2 and CD133 were more commonly observed in well-differentiated (<i>p</i><0.001 and <i>p</i>=0.004, respectively) and intestinal lesions (<i>p</i><0.001 and <i>p</i>=0.002, respectively). High ABCG2 expression correlated with improved survival outcomes, whereas high CD133 expression was associated with poorer outcomes. Cox regression analysis confirmed that stage, high ABCG2 (overall survival [OS]: hazard ratio [HR], 0.61; 95% confidence interval [CI], 0.41–0.91; <i>p</i>=0.015; recurrencefree survival [RFS]: HR, 0.55; 95% CI, 0.34–0.88; <i>p</i>=0.012), and CD133 expression (OS: HR, 1.59; 95% CI, 1.00–2.51; <i>p</i>=0.049; RFS: HR, 2.29; 95% CI, 1.21–4.34; <i>p</i>=0.011) were predictors of survival. A subgroup analysis indicated that ABCG2 expression was also associated with an improved RFS rate in patients who received systemic chemotherapy.Conclusions: High ABCG2 expression and low CD133 expression in tumors correlated with improved survival outcomes in post-resection patients with gastric cancer, suggesting their potential utility as prognostic biomarkers.
A Case of Gastric heterotopic pancreatitis clinically diagnosed without surgical resection
( Donghoon Kang ),( Jae Myung Park ) 대한내과학회 2015 대한내과학회 추계학술대회 Vol.2015 No.1
Heterotopic pancreas is a rare condition which is defined as the presence of pancreatic tissue without anatomical and vascular continuity with the pancreas. Stomach is one of the most commonly involved site, but usually asymptomatic. Here we report an unusual case of gastric heterotopic pancreatitis causing epigastric pain and mimicking gastric abscess, which was diagnosed preoperatively using endoscopic ultrasonography and serological markers. A 46-year-old male visited emergency department due to epigastric pain and fever developed one day before. His laboratory data suggested systemic inflammation with mild elevation of lipase level. Initial CT scan showed thickened gastric wall at antrum. Subsequent gastroduodenoscopy, endoscopic ultrasound (EUS), and stomach MRI showed that marked gastric wall thickening with heterogenous echogenicity, irregularity of gastric wall and multiple cystic small abscesses mostly confined in serosa. Accordingly, we presumed gastric abscesses and started treatment with intravenous hydration and antibiotics. After 2 days, serum amylase and lipase level went up to the peak level, but decreased by continuing treatment. So we diagnosed gastric heterotopic pancreatitis. He was discharged with better well-being sensation and decreased serum amylase and lipase level. In outpatient’s office, follow-up endoscopy, EUS and blood tests were done and showed improvements.
Graphene quantum dots prevent α-synucleinopathy in Parkinson’s disease
Kim, Donghoon,Yoo, Je Min,Hwang, Heehong,Lee, Junghee,Lee, Su Hyun,Yun, Seung Pil,Park, Myung Jin,Lee, MinJun,Choi, Seulah,Kwon, Sang Ho,Lee, Saebom,Kwon, Seung-Hwan,Kim, Sangjune,Park, Yong Joo,Kinos Nature Publishing Group 2018 Nature nanotechnology Vol.13 No.9
Particle swarm optimization-based receding horizon formation control of multi-agent surface vehicles
Kim, Donghoon,Lee, Seung-Mok,Jung, Sungwook,Koo, Jungmo,Myung, Hyun Techno-Press 2018 Advances in robotics research Vol.2 No.2
This paper proposes a novel receding horizon control (RHC) algorithm for formation control of a swarm of unmanned surface vehicles (USVs) using particle swarm optimization (PSO). The proposed control algorithm provides the coordinated path tracking of multi-agent USVs while preventing collisions and considering external disturbances such as ocean currents. A three degrees-of-freedom kinematic model of the USV is used for the RHC with guaranteed stability and convergence by incorporating a sequential Monte Carlo (SMC)-based particle initialization. An ocean current model-based estimator is designed to compensate for the effect of ocean currents on the USVs. This method is compared with the PSO-based RHC algorithms to demonstrate the performance of the formation control and the collision avoidance in the presence of ocean currents through numerical simulations.
Development and Experimental Testing of an Autonomous Jellyfish Detection and Removal Robot System
Kim, Donghoon,Shin, Jae-Uk,Kim, Hyungjin,Kim, Hanguen,Lee, Donghwa,Lee, Seung-Mok,Myung, Hyun Institute of Control, Robotics and Systems 2016 International Journal of Control, Automation, and Vol.14 No.1
The development of an autonomous jellyfish removal robot system, named JEROS, and related experimental results are presented in this paper. The number of jellyfish has drastically increased due to changes to the marine environment. Large jellyfish swarms are threatening marine ecosystems and inducing enormous damage globally to marine-related industries. JEROS has been designed based on a twin hull-type surface vehicle equipped with a device for shredding jellyfish. Additionally, an electrical control system, a guidance, navigation, and control (GNC) system, and a vision-based jellyfish detection system are embedded to remove jellyfish autonomously. The jellyfish removal mission starts when the location of jellyfish is detected, followed by planning a path for jellyfish removal, tracking the path using an autonomous navigation system, and shredding jellyfish while tracking. The performance of the vision-based jellyfish detection, navigation, and jellyfish removal was demonstrated through experiments in a pond and field tests in Masan Bay located on the southern coast of South Korea.
구조화된 환경에서의 가중치 템플릿 매칭을 이용한 자율 수중 로봇의 비전 기반 위치 인식
김동훈(Donghoon Kim),이동화(Donghwa Lee),명현(Hyun Myung),최현택(Hyun-Taek Choi) 제어로봇시스템학회 2013 제어·로봇·시스템학회 논문지 Vol.19 No.8
This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, deadreckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.