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Membrane Proteins as Potential Colon Cancer Biomarkers: Verification of 4 Candidates from a Secretome Dataset

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Surgical Science 2014年第10期5卷 418-438页

作者： Sum-Fu Chiang Ming-Hung Tsai Reiping Tang Ling-Ling hsieh Jy-Ming Chiang Chien-Yuh Yeh pao-shiu hsieh Wen-Sy Tsai Ya-Ping Liu Ying Liang Jinn-shiun Chen Jau-Song Yu Division of Colon and Rectal Surgery Chang Gung Memorial Hospital Linkou Chinese Taipei Graduate Institute of Clinical Medical Sciences College of Medicine Chang Gung University Taoyuan Chinese Taipei Graduate Institute of Biomedical Sciences Chang Gung University Taoyuan Chinese Taipei College of Medicine Chang Gung University Linkou Chinese Taipei Department of Public Health Chang Gung University Taoyuan Chinese Taipei Pathology Core of the Chang Gung Molecular Medicine Research Center Taoyuan Chinese Taipei Department of Biochemistry and Molecular Biology Chang Gung University Taoyuan Chinese Taipei

Colorectal cancer (CRC) is an important health issue in Taiwan. There were over ten thousand newly diagnosed CRC patients each year. The outcome of late stage CRC still remains to be improved, and tumor markers are expected to improve CRC detection and management. From a colorectal cancer cell secretome database, we chose four proteins as candidates for clinical verification, including tumor-associated calcium signal transducer 2 (TROP2, TACSTD2), transmembrane 9 superfamily member 2 (TM9SF2), and tetraspanin-6 (TSPAN6), and tumor necrosis factor receptor superfamily member 16 (NGFR). Different groups of 30 CRC patients’ tissue samples collected from Chang Gung Memorial Hospital were analyzed by immunohistochemistry (IHC) for the four proteins, and the results were scored by pathologist. For all the four candidate proteins, marked differences of IHC score existed between tumor and adjacent non-tumor counterpart. However, there were only trends between higher protein expression levels and worse outcome. Three proteins (TROP2, TM9SF2 and NGFR) had trends between higher tissue expression and tumor stage or lymph node metastasis. Our study revealed that tissue expression of four proteins (TROP2, TM9SF2, TSPAN6, and NGFR) was markedly different between tumor and adjacent non-tumor counterparts. Overexpression of all these four proteins showed some trends with poorer survival.

关键词： Biomarker Colorectal Cancer Immunohistochemistry Membrane Protein Secretome Tetraspanin-6 Transmembrane 9 Superfamily Member 2 Tumor-Associated Calcium Signal Transducer 2 Tumor Necrosis Factor Receptor Superfamily Member 16 Verification

Origins of perturbations in dayside equatorial ground magnetograms

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Earth and Planetary Physics 2024年第1期8卷 215-221页

作者： Syau-Yun W.hsieh David G.Sibeck The Johns Hopkins University Applied Physics Laboratory LaurelMarylandUSA NASA Goddard Space Flight Center GreenbeltMarylandUSA

To determine the cause(s)of perturbations seen in dayside equatorial ground magnetograms,we conducted a systematic survey of simultaneous ground-based and geosynchronous satellite-based observations during the 90-day period from December 1,2020 to February 28,*** examined Huancayo ground magnetometer observations from 14:00:00 to 20:00:00 UT each day,during which Huancayo passed through local *** those data we chose perturbation events selected on the basis of large(>20 nT)event amplitude and classified the selected events as responding primarily to solar wind pressure,or to variations in the north/south component of the interplanetary magnetic field(IMF Bz),or perhaps in part to *** results show that an equivalent number of events were identified for each model during this 90-day *** in the lagged solar wind dynamic pressure routinely correspond to nearly simultaneous sudden impulses recorded at both geosynchronous orbit and on the *** in IMF Bz produce erosion signatures at geosynchronous orbit and can correspond to ground events if lag times for reconnection to enhance convection in the magnetosphere are taken into account.

关键词： dayside magnetosphere dayside equatorial ionosphere geosynchronous magnetic field

Management of retroperitoneal high-grade serous carcinoma of unknown origin:A case report

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World Journal of Clinical Cases 2024年第6期12卷 1190-1195页

作者： Wen-Lin hsieh Dah-Ching Ding Department of Obstetrics and Gynecology Hualien Tzu Chi HospitalBuddhist Tzu Chi Medical FoundationTzu Chi UniversityHualien 970Taiwan Institute of Medical Sciences Tzu Chi UniversityHualien 970TaiwanTaiwan

BACKGROUND Retroperitoneal high-grade serous carcinoma(HGSC)of unknown origin is a sporadic tumor that can originate from ovarian ***,we report the case of a woman with retroperitoneal HGSC of unknown origin and describe how she was diagnosed and *** SUMMARY A 71-year-old female presented with the tumor marker CA125 elevated to 1041.9 U/mL upon a regular health *** tomography revealed retroperitoneal lymph node ***,positron emission tomography scanning revealed lesions with increased F-18 fluorodeoxyglucose uptake at the *** a result,she underwent laparoscopic lymph node resection,and pathology revealed metastatic adenocarcinoma with CK7(+),PAX8(+),WT1(+),PR(-),and p53 mutational loss of expression,indicating that the origin may be from the *** patient was admitted to our ward and underwent laparoscopic staging;however,the pathological results were *** the suspicion of retroperitoneal HGSC of unknown origin,chemotherapy and targeted therapy were *** marker levels decreased after *** We present a case of HGSC of unknown origin managed using retroperitoneal lymphadenectomy,staging surgery,chemotherapy,and targeted therapy.

关键词： High-grade serous carcinoma Retroperitoneum Origin Chemotherapy Lymph node Case report

Automated and miniaturized screening of antibiotic combinations via robotic-printed combinatorial droplet platform

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1801-1813页

作者： Fangchi Shao Hui Li Kuangwen hsieh Pengfei Zhang Sixuan Li Tza-Huei Wang Department of Biomedical Engineering Johns Hopkins UniversityBaltimoreMD 21218USA Department of Mechanical Engineering Johns Hopkins UniversityBaltimoreMD 21218USA

Antimicrobial resistance(AMR)has become a global health crisis in need of novel *** this end,antibiotic combination therapies,which combine multiple antibiotics for treatment,have at-tracted significant attention as a potential approach for combating *** facilitate advances in anti-biotic combination therapies,most notably in investigating antibiotic interactions and identifying synergistic antibiotic combinations however,there remains a need for automated high-throughput plat-forms that can create and examine antibiotic combinations on-demand,at scale,and with minimal reagent *** address these challenges,we have developed a Robotic-Printed Combinatorial Droplet(RoboDrop)platform by integrating a programmable droplet microfuidic device that generates antibiotic combinations in nanoliter droplets in automation,a robotic arm that arranges the droplets in an array,and a camera that images the array of thousands of droplets in *** further implement a resazurin-based bacterial viability assay to accelerate our antibiotic combination *** a demonstration,we use RoboDrop to corroborate two pairs of antibiotics with known interactions and subsequently identify a new synergistic combination of cefsulodin,penicillin,and oxacillin against a model *** *** therefore envision RoboDrop becoming a useful tool to efficiently identify new synergistic antibiotic combinations toward combating AMR.

关键词： Droplet microfluidics Antimicrobial resistance Antibiotic combinatorial screening Contact printing Robotics Pharmaceutical analysis High-throughput Antibiotic interactions

Programming nonlinear propagation for efficient optical learning machines

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Advanced Photonics 2024年第1期6卷 73-83页

作者： Ilker Oguz Jih-Liang hsieh Niyazi Ulas Dinc Ugur Tegin Mustafa Yildirim Carlo Gigli Christophe Moser Demetri Psaltis École Polytechnique Fédérale de Lausanne Institute of Electrical and Micro EngineeringEcublensSwitzerland Koc University Department of Electrical and Electronics EngineeringIstanbulTurkey

The ever-increasing demand for training and inferring with larger machine-learning models requires more efficient hardware solutions due to limitations such as power dissipation and *** is a promising contender for providing lower power computation,since light propagation through a nonabsorbing medium is a lossless ***,to carry out useful and efficient computations with light,generating and controlling nonlinearity optically is a necessity that is still *** fibers(MMFs)have been shown that they can provide nonlinear effects with microwatts of average power while maintaining parallelism and low *** propose an optical neural network architecture that performs nonlinear optical computation by controlling the propagation of ultrashort pulses in MMF by wavefront *** a surrogate model,optimal sets of parameters are found to program this optical computer for different tasks with minimal utilization of an electronic *** show a remarkable decrease of 97%in the number of model parameters,which leads to an overall 99%digital operation reduction compared to an equivalently performing digital neural *** further demonstrate that a fully optical implementation can also be performed with competitive accuracies.

关键词： neural networks nonlinear optics fiber optics surrogate optimization neuromorphic computing wavefront shaping

Interpenetrated Structures for Enhancing Ion Diffusion Kinetics in Electrochemical Energy Storage Devices

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Nano-Micro Letters 2024年第11期16卷 718-728页

作者： Xinzhe Xue Longsheng Feng Qiu Ren Cassidy Tran Samuel Eisenberg Anica Pinongcos Logan Valdovinos Cathleen hsieh Tae Wook Heo Marcus A.Worsley Cheng Zhu Yat Li Department of Chemistry and Biochemistry University of California1156 High StreetSanta CruzCA 95064USA Lawrence Livermore National Laboratory 7000 East AvenueLivermoreCA 94550USA

The architectural design of electrodes offers new opportunities for next-generation electrochemical energy storage devices(EESDs)by increasing surface area,thickness,and active materials mass loading while maintaining good ion diffusion through optimized electrode ***,conventional thick electrodes increase ion diffusion length and cause larger ion concentration gradients,limiting reaction *** demonstrate a strategy for building interpenetrated structures that shortens ion diffusion length and reduces ion concentration *** free-standing device structure also avoids short-circuiting without needing a *** feature size and number of interpenetrated units can be adjusted during printing to balance surface area and ion *** with a 3D-printed interpenetrated polymer substrate,we metallize it to make it *** substrate has two individually addressable electrodes,allowing selective electrodeposition of energy storage *** a Zn//MnO_(2) battery as a model system,the interpenetrated device outperforms conventional separate electrode configurations,improving volumetric energy density by 221%and exhibiting a higher capacity retention rate of 49%compared to 35%at temperatures from 20 to 0℃.Our study introduces a new EESD architecture applicable to Li-ion,Na-ion batteries,supercapacitors,etc.

关键词： Interpenetrated structure 3D printing Electrochemical energy storage Ion diffusion length Inter-electrode distance

Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center

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Research 2024年第2期2023卷 773-794页

作者： Xiaorui Wang Chang-Yu hsieh Xiaodan Yin Jike Wang Yuquan Li Yafeng Deng Dejun Jiang Zhenxing Wu Hongyan Du Hongming Chen Yun Li Huanxiang Liu Yuwei Wang Pei Luo Tingjun Hou Xiaojun Yao Dr.Neher's Biophysics Laboratory for lnnovative Drug Discovery State Key Laboratory of Quality Research in Chinese MedicineMacao Institute for Applied Research in Medicine and HealthMacao University of Science and TechnologyMacao999078China innovation Institute for Artificial Intelligence in Medicine of Zhejiang University College of Pharmaceutical SciencesZhejiang UniversityHangzhou310058China Faculty of Applied Sciences Macao Polytechnic UniversityMacao999078China College of Chemistry and Chemical Engineering Lanzhou UniversityLanzhou730000China Carbon Silicon AI Technology Co. LtdHangzhouZhejiang 310018China Center of Chemistry and Chemical Biology Guangzhou Regenerative Medicine and Health Guangdong LaboratoryGuangzhou 510530China College of Pharmacy Shaanxi University of Chinese MedicineXianyangShaanxi712044China

Effective synthesis planning powered by deep learning(DL)can significantly accelerate the discovery of new drugs and ***,most DL-assisted synthesis planning methods offer either none or very limited capability to recommend suitable reaction conditions(RCs)for their reaction ***,the prediction of RCs with a DL framework is hindered by several factors,including:(a)lack of a standardized dataset for benchmarking,(b)lack of a general prediction model with powerful representation,and(c)lack of *** address these issues,we first created 2 standardized RC datasets covering a broad range of reaction classes and then proposed a powerful and interpretable Transformer-based RC predictor named *** careful design of the model architecture,pretraining method,and training strategy,Parrot improved the overall top-3 prediction accuracy on catalysis,solvents,and other reagents by as much as 13.44%,compared to the best previous model on a newly curated ***,the mean absolute error of the predicted temperatures was reduced by about 4℃.Furthermore,Parrot manifests strong generalization capacity with superior cross-chemical-space prediction *** analysis indicates that Parrot effectively captures crucial chemical information and exhibits a high level of interpretability in the prediction of *** proposed model Parrot exemplifies how modern neural network architecture when appropriately pretrained can be versatile in making reliable,generalizable,and interpretable recommendation for RCs even when the underlying training dataset may still be limited in diversity.

关键词： versatile absolute generalization

Adaptive Fourier Decomposition of the First Three SARS-CoV-2 Infection Waves with Epidemic Intervention—London,UK,2020-2022

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China CDC weekly 2024年第21期6卷 478-486,I0006-I0008页

作者： Zige Liu Guibin Lu Cheokieng Vong Zhiqi Zeng Wei He Zhijie Lin Cuiyun Lin Kaichin hsieh Zifeng Yang Arlindo L.Oliveira Chitin Hon Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao SARChina Queen Ethelburga’s Collegiate Thorpe Underwood EstateYorkUK State Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory DiseaseGuangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou CityGuangdong ProvinceChina Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications Department of Engineering ScienceFaculty of Innovation EngineeringMacao University of Science and TechnologyMacao SARChina Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases KingMed School of Laboratory MedicineGuangzhou Medical UniversityGuangzhou CityGuangdong ProvinceChina Faculty of Innovation Engineering School of Computer Science and EngineeringMacao University of Science and TechnologyMacao SARChina University College London UCL Faculty of Engineering SciencesLondonUK Guangzhou Laboratory Guangzhou CityGuangdong ProvinceChina Instituto de Engenharia de Sistemas e Computadores:Investigação e Desenvolvimento em Lisboa LisboaPortugal Instituto Superior Técnico Universidade de LisboaLisboaPortugal

Background:This study provides a detailed analysis of the daily fluctuations in coronavirus disease 2019(COVID-19)case numbers in London from January 31,2020 to February 24,*** primary objective was to enhance understanding of the interactions among government pandemic responses,viral mutations,and the subsequent changes in COVID-19 case ***:We employed the adaptive Fourier decomposition(AFD)method to analyze diurnal changes and further segmented the AFD into novel multi-component groups consisting of one to three *** restructured components were rigorously evaluated using Pearson correlation,and their effectiveness was compared with other signal analysis *** study introduced a novel approach to differentiate individual components across various time-frequency scales using basis decomposition ***:Analysis of London’s daily COVID-19 data using AFD revealed a strong correlation between the“stay at home”directive and high-frequency components during the first epidemic *** indicates the need for sustained implementation of vaccination policies to maintain their ***:The AFD component method provides a comprehensive analysis of the immediate and prolonged impact of governmental policies on the spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).This robust tool has proven invaluable for analyzing COVID-19 pandemic data,offering critical insights that guide the formulation of future preventive and public health strategies.

关键词： offering sustained London

ETF标的证券联动传染——基于网络结构的空间联动溢出效应研究

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金融评论 2024年第3期16卷 90-109,157页

作者：谢沛霖张露唐咏家张浩台湾省政治大学商学院财务管理系中国台湾厦门大学经济学院广东粤财投资控股有限公司

股票联动性是金融市场关注的重要问题之一。本文基于沪深2006年至2019年的权益ETF数据,通过ETF持仓明细数据建立股票网络,借助空间计量模型检验了ETF标的证券网络之间的联动溢出效应。研究发现ETF标的股三个主要交易特征,回报率、成交... 详细信息

股票联动性是金融市场关注的重要问题之一。本文基于沪深2006年至2019年的权益ETF数据,通过ETF持仓明细数据建立股票网络,借助空间计量模型检验了ETF标的证券网络之间的联动溢出效应。研究发现ETF标的股三个主要交易特征,回报率、成交量和流动性,都表现出空间网络联动溢出效应。随着时间的推移,ETF数量增加,更多股票被纳入ETF成分股范围,股票间的空间关系变得更为紧密,进一步增强了空间联动传染性,展示了ETF标的证券空间网络溢出效应的动态趋势。机制分析表明,ETF独特的套利活动是股票空间联动传染增加的重要微观机制。研究表明ETF持股网络结构对股票联动传染具有重要影响,机构投资者持股结构对金融稳定的综合影响具有重要意义。

关键词： ETF 空间联动传染网络结构机构投资者