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Efficacy and safety of first‐line regimens for advanced HER2‐positive breast cancer:A Bayesian network meta‐analysis

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Cancer innovation 2024年第4期3卷 1-12页

作者： Lixi Li Yun Wu Bo Lan Fei Ma Department of Medical Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina

Background:The current standard of care for advanced human epidermal growth factor receptor 2(HER2)‐positive breast cancer is pertuzumab plus trastuzumab and docetaxel as first‐line ***,with the development of newer treatment regimens,there is a lack of evidence regarding which is the optimal treatment *** aim of this network meta‐analysis was to evaluate the efficacy and safety of first‐line regimens for advanced HER2‐positive breast cancer by indirect ***:A systematic review and Bayesian network meta‐analysis were *** PubMed,EMBASE,and Cochrane Library databases were searched for relevant articles published through to December *** hazard ratio(HR)and 95%credible interval(CrI)were used to compare progressionfree survival(PFS)between treatments,and the odds ratio and 95%CrI were used to compare the objective response rate(ORR)and ***:Twenty randomized clinical trials that included 15 regimens and 7094 patients were *** with the traditional trastuzumab and docetaxel regimen,PFS was longer on the pyrotinib and trastuzumab plus docetaxel regimen(HR:0.41,95%CrI:0.22–0.75)and the pertuzumab and trastuzumab plus docetaxel regimen(HR:0.65,95%CrI:0.43–0.98).Consistent with the results for PFS,the ORR was better on the pyrotinib and trastuzumab plus docetaxel regimen and the pertuzumab and trastuzumab plus docetaxel regimen than on the traditional trastuzumab and docetaxel *** surface under the cumulative ranking curve indicated that the pyrotinib and trastuzumab plus docetaxel regimen was most likely to rank first in achieving the best PFS and *** results were found for grade≥3 AE rates of≥10%.Conclusions:Our results suggest that the pyrotinib and trastuzumab plus docetaxel regimen is most likely to be the optimal first‐line therapy for patients with HER2‐positive breast cancer.

关键词： Bayesian network meta‐analysis first‐line treatment HER2‐positive breast cancer

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Discharge voltage behavior of electric double-layer capacitors during high-g impact and their application to autonomously sensing high-g accelerometers

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Nano research 2018年第2期11卷 1146-1156页

作者： Keren Dai Xiaofeng Wang Fang Yi Yajiang Yin Cheng Jiang Simiao Niu Qingyu Li Zheng You Collaborative innovation Center for Micro/Nano Fabrication Device and System Tsinghua University Beijing China State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University Beijing China Department of Precision Instrument Tsinghua University Beijing China College of Chemistry and Molecular Engineering Peking University Beijing China School of Chemical Engineering stanford University stanford USA Department of Electronic Engineering Tsinghua University Beijing China

In this study, the discharge voltage behavior of electric double-layer capacitors （EDLCs） during high-g impact is studied both theoretically and experimentally. A micro-scale dynamic mechanism is proposed to describe the physical basis of the increase in the discharge voltage during a high-g impact. Based on this dynamic mechanism, a multi-field model is established, and the simulation and experimental studies of the discharge voltage increase phenomenon are conducted. From the simulation and experimental data, the relationship between the increased voltage and the high-g acceleration is revealed. An acceleration detection range of up to 10,000g is verified. The design of the device is optimized by studying the influences of the parameters, such as the electrode thickness and discharge current, on the outputs. This work opens up new avenues for the development of autonomous sensor systems based on energy storage devices and is significant for many practical applications such as in collision testing and automobile safety.

关键词： electric double-layercapacitor high-g acceleration autonomous sensor dynamic model

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Sofosbuvir-based Regimens with Task Shifting Is Cost-effective in Expanding Hepatitis C Treatment Access in the United States

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Journal of Clinical and Translational Hepatology 2017年第1期5卷 16-22页

作者： Channa R.Jayasekera Rachel Beckerman Nathaniel Smith Ryan B.Perumpail Robert J.Wong Zobair M.Younossi Aijaz Ahmed Liver Transplant Program Division of Gastroenterology and HepatologyStanford University Medical CenterStanfordCaliforniaUSA Center for innovation in Global Health Stanford UniversityStanfordCaliforniaUSA Maple Health Group LLCNew YorkNew YorkUSA Division of Gastroenterology and Hepatology Alameda Health SystemHighland HospitalOaklandCaliforniaUSA Department of Medicine Center for Liver DiseasesInova Fairfax HospitalFalls ChurchVirginiaUSA Betty and Guy Beatty Center for Integrated research Inova Health SystemFalls ChurchVirginiaUSA

Background and Aims:The current paradigm of specialist physician-managed treatment of chronic hepatitis C virus infection(HCV)is inefficient in absorbing the approximately 3 million patients awaiting treatment in the United *** shifting—whereby specialist physicians screen patients for treatment eligibility but on-treatment monitoring is devolved to more abundant non-physician clinicians—achieves non-inferior treatment outcomes with second generation direct-acting antivirals(2^(nd)Gen DAAs),may increase treatment capacity,and may facilitate greater treatment *** determined the cost effectiveness of 2^(nd)Gen DAAs with respect to interferon-based first-generation DAAs(1^(st)Gen DAAs)within a task-shifted treatment ***:Using a previously described decision-analytic Markov structure,we modeled a hypothetical cohort of 1,000 patients with HCV genotype 1 infection over a lifetime horizon,based upon our outreach clinic's HCV treatment ***-naive and treatment-experienced HCV cohorts were modeled separately,based upon our outr8each clinic's *** response to 2^(nd)Gen DAAs was modeled based on our outreach clinic's *** events,utility,costing,and transition probabilities were sourced from the ***:Driven by improved effectiveness and safety,as well as an expected increase in treatment capacity,2^(nd)Gen DAAs treatment monitored by non-physician clinicians was projected to improve health outcomes and be dominant from a cost-effective perspective versus that of 1^(st)Gen *** were consistent across all assessed patient ***:Based on an assumption of increased treatment capacity accompanying a task-shifted treatment model,2^(nd)Gen DAAs-based treatment was cost effective and cost saving as compared to 1^(st)Gen DAAs-based treatment for all HCV patient subgroups assessed.

关键词： Hepatitis C Treatment access Task shifting Cost effectiveness

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Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks,Sichuan,China

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Earth and Planetary Physics 2021年第6期5卷 501-519页

作者： PengCheng Zhou William L.Ellsworth HongFeng Yang Yen Joe Tan Gregory C.Beroza MinHan Sheng RiSheng Chu Key Laboratory of Ocean and Marginal Sea Geology South China Sea Institute of OceanologyInnovation Academy of South China Sea Ecology and Environmental EngineeringChinese Academy of SciencesGuangzhou 510301China Earth System Science Programme Faculty of ScienceThe Chinese University of Hong KongSha TinHong Kong 999077China Department of Geophysics Stanford UniversityStanfordCA 94305USA State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China

Seismic hazard assessment and risk mitigation depend critically on rapid analysis and characterization of earthquake *** seismicity in shale gas blocks of the Sichuan Basin,China,has presented a serious challenge to monitoring and managing the seismicity *** this study,to detect events we apply a machine-learning-based phase picker(PhaseNet)to continuous seismic data collected between November 2015 and November 2016 from a temporary network covering the Weiyuan Shale Gas Blocks(SGB).Both P-and S-phases are picked and associated for *** refine the velocity model by using detected explosions and earthquakes and then relocate the detected events using our new velocity *** detections and absolute relocations provide the basis for building a high-precision earthquake *** primary catalog contains about 60 times as many earthquakes as those in the catalog of the Chinese Earthquake Network Center(CENC),which used only the sparsely distributed permanent *** also measure the local magnitude and achieve magnitude completeness of *** relocate clusters of events,showing sequential migration patterns overlapping with horizontal well branches around several well pads in the Wei202 and Wei204 *** results demonstrate the applicability of a machine-learning phase picker to a dense seismic *** algorithms can facilitate rapid characterization of earthquake sequences.

关键词： induced seismicity machine learning Weiyuan Shale Gas Block

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Imputation of single-cell gene expression with an autoencoder neural network

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Quantitative Biology 2020年第1期8卷 78-94页

作者： Md.Bahadur Badsha Rui Li Boxiang Liu Yang ILi Min Xian Nicholas EBanovich Audrey Qiuyan Fu Department of Statistical Science Institute for Bioinformatics and Evolutionary StudiesInstitute for Modeling Collaboration&InnovationUniversity of IdahoMoscowID 83844USA Department of Biology Stanford UniversityStanfordCA 94305USA Section of Genetic Medicine University of ChicagoChicagoIL 60637USA Department of Computer Science University of IdahoIdaho FallsID 83401USA The Translational Genomics research Institute PhoenixAZ 85004USA

Background:Single-cell RNA-sequencing(scRNA-seq)is a rapidly evolving technology that enables measurement of gene expression levels at an unprecedented *** the explosive growth in the number of cells that can be assayed by a single experiment,scRNA-seq still has several limitations,including high rates of dropouts,which result in a large number of genes having zero read count in the scRNA-seq data,and complicate downstream ***:To overcome this problem,we treat zeros as missing values and develop nonparametric deep learning methods for ***,our LATE(Learning with AuToEncoder)method trains an autoencoder with random initial values of the parameters,whereas our TRANSLATE(TRANSfer learning with LATE)method further allows for the use of a reference gene expression data set to provide LATE with an initial set of parameter ***:On both simulated and real data,LATE and TRANSLATE outperform existing scRNA-seq imputation methods,achieving lower mean squared error in most cases,recovering nonlinear gene-gene relationships,and better separating cell *** are also highly scalable and can efficiently process over 1 million cells in just a few hours on a ***:We demonstrate that our nonparametric approach to imputation based on autoencoders is powerful and highly efficient.

关键词： single-cell gene expression deep learning autoencoder

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Retro-enantio isomer of angiopep-2 assists nanoprobes across the blood-brain barrier for targeted magnetic resonance/fluorescence imaging of glioblastoma

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Signal Transduction and Targeted Therapy 2021年第9期6卷 2870-2882页

作者： Ruoxi Xie Zijun Wu Fanxin Zeng Huawei Cai Dan Wang Lei Gu Hongyan Zhu Su Lui Gang Guo Bin Song Jinxing Li Min Wu Qiyong Gong Huaxi MR research Center(HMRRC) Department of RadiologyFunctional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China HospitalSichuan UniversityChengduChina research Unit of Psychoradiology Chinese Academy of Medical SciencesChengduChina Department of Clinic Medical Center Dazhou Central HospitalDazhouChina Laboratory of Clinical Nuclear Medicine Department of Nuclear MedicineWest China HospitalSichuan UniversityChengduChina State Key Laboratory of Biotherapy and Cancer Center West China HospitalSichuan Universityand Collaborative Innovation Center for BiotherapyChengduChina Department of Chemical Engineering Stanford UniversityStanfordCaliforniaUSA

Glioblastoma(GBM),one of the most common primary intracranial malignant tumours,is very difficult to be completely excised by surgery due to its irregular ***,we use an MRI/NIR fluorescence dual-modal imaging nanoprobe that includes superparamagnetic iron oxide nanoparticles(SPIONs)modified with indocyanine(Cy7)molecules and peptides(ANG orDANG)to locate malignant gliomas and guide accurate *** peptides/Cy7-SPIONs probes displayed excellent tumour-homing properties and barrier penetrating abilities in vitro.

关键词： tumour malignant surgery

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A Blood Hepatocellular Carcinoma Signature Recognizes Very Small Tumor Nodules with metastatic Traits

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Journal of Clinical and Translational Hepatology 2024年第6期12卷 551-561页

作者： Kun Chen Junxiao Wang Liping Jiang Fei Zhao Ruochan Zhang Zhiyuan Wu Dongmei Wang Yuchen Jiao Hui Xie Chunfeng Qu State Key Lab of Molecular Oncology Department of ImmunologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Senior Department of Oncology Fifth Medical Center of Chinese PLA General HospitalBeijingChina Aerospace Medical Center/Aerospace Center Hospital Peking University Aerospace Clinical CollegeBeijingChina State Key Lab of Molecular Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina

Background and Aims:Hepatocellular carcinoma(HCC)cases with small nodules are commonly treated with radi-ofrequency ablation(RFA),but the recurrence rate remains *** study aimed to establish a blood signature for identifying HCC with metastatic traits ***:Data from HCC patients treated between 2010 and 2017 were retrospectively collected.A blood signature for meta-static HCC was established based on blood levels of alpha-fetoprotein and des-γ-carboxy-prothrombin,cell-free DNA(cfDNA)mutations,and methylation changes in target genes in frozen-stored plasma samples that were collected before RFA *** HCC blood signature was validated in patients prospectively enrolled ***:Of 251 HCC patients in the retrospective study,33.9% experienced recurrence within 1 year *** HCC blood signature identified from these patients included des-γ-carboxy-prothrombin≥40mAU/mL with cfDNA mutation score,where cfDNA mutations occurred in the genes of TP53,CTNNB1,and TERT *** signature effectively predicted 1-year post-RFArecurrence of HCC with 92% specificity and 91% sensitivity in the retrospective dataset,and with 87% specificity and 76% sensitivity in the prospective dataset(n=32 patients).Among 14 cases in the prospective study with biopsy tissues available,positivity for the HCC blood signature was associated with a higher HCC tissue score and shorter distance between HCC cells and ***:This study established an HCC blood signature in pre-RFA blood that potentially reflects HCC with metastatic traits and may be valuable for predicting the disease’s early recurrence post-RFA.

关键词： Liquid biopsy Liver dysplastic nodules Radiofrequency ablation Hepatocellular carcinoma Recurrence prediction metastatic nodules

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Synthesis of highly active Cu(Ⅰ)-Y(Ⅲ)-Y zeolite and its selective adsorption desulfurization performance in presence of xylene isomers

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Petroleum Science 2021年第1期18卷 295-306页

作者： Bo-Long Jiang Nan Jiang You-Xin Chang innovation Institute for Sustainable Maritime Architecture research and Technology Qingdao University of TechnologyQingdao 266000China Chongqing Changshou Sino French Water Co.Ltd. Chongqing 404100China

A bimetal-exchanged NaY zeolite(Cu(Ⅰ)-Y(Ⅲ)-Y)with a desirable adsorptive desulfurization(ADS)performance was prepared and characterized by means of X-ray diffraction,specific surface area measurements,X-ray fluorescence spectrometer,X-ray photoelectron spectroscopy,thermal gravity analysis and Fourier transform infrared *** effect of Y(Ⅲ)ions on ADS in the presence of the xylenes was *** indicated that the ADS performance of Y(Ⅲ)-Y is higher than that of most reported *** Y(Ⅲ)-based Cu(Ⅰ)-Y(Ⅲ)-Y demonstrated the higher breakthrough loading than those of reported Ce(Ⅲ)/Ce(Ⅳ)-based transition metal Y zeolites,showing that Y(Ⅲ)ions play a promoting role in improving the ADS *** Cu(Ⅰ)-Y(Ⅲ)-Y,a new strong S-M interaction(S stands for sulfur,while M stands for metal)active site was formed,which might be caused by the synergistic effect between Cu(Ⅰ)and Y(Ⅲ).The Cu(Ⅰ)-Y(Ⅲ)-Y,which combined the advantages of Cu(I)-Y and Y(Ⅲ)-Y,is a kind of promising *** breakthrough loading decreased in the order of Cu(Ⅰ)-Y(Ⅲ)-Y>Y(Ⅲ)-Y>Cu(Ⅰ)-Y,and the effect of xylene isomers on the sulfur removal was in the order of ortho-xylene>meta-xylene>para-xylene,which exhibited the same trend with the bond order of xylenes.

关键词： Desulfurization Yttrium Copper Y zeolite Competitive adsorption Xylenes

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Optimizing hydrogen ad/desorption of Mg-based hydrides for energy-storage applications

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Journal of Materials Science & Technology 2023年第10期141卷 221-235页

作者： Zeng-Yi Li Yu-Jia Sun Chen-Chen Zhang Sheng Wei Li Zhao Ju-Lan Zeng Zhong Cao Yong-Jin Zou Hai-Liang Chu Fen Xu Li-Xian Sun Hong-Ge Pan Guangxi Key Laboratory of Information Materials and Guangxi Collaborative innovation Center of Structure and Property for New Energy and Materials School of Material Science&EngineeringGuilin University of Electronic TechnologyGuilin 541004China Department of Radiology Stanford UniversityStanfordCA 94305USA School of Chemistry and Chemical Engineering Guangxi UniversityNanning 530004China Beijing Advanced innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China School of Chemistry and Chemical Engineering Changsha University Of Science&TechnologyChangsha 410114China Institute of Science and Technology for New Energy Xi’an Technological UniversityXi’an 710021China

Hydrogen energy is expected to be an“ideal fuel”in the era of *** discovery,de-velopment,and modification of high-performance hydrogen storage materials are the keys to the fu-ture development of solid-state hydrogen storage and hydrogen energy *** hydride(MgH_(2)),with its high hydrogen storage capacity,abundant natural reserves,and environmental friend-liness,has been extensively ***,we briefly summarize the typical structure and hy-drogenation/dehydrogenation reaction mechanism of MgH_(2)and provide a comprehensive overview of strategies to effectively tune the thermodynamics and kinetics of Mg-based materials,such as alloy-ing,nanosizing,the introduction of additives,and composite *** substantial efforts,great achievements have been achieved,such as lower absorption/desorption temperatures and better cy-cling ***,some pivotal issues remain to be addressed,such as unfavorable hydro-genation/dehydrogenation factors,harsh conditions,slow kinetics,incomplete dehydrogenation,low hy-drogen purity,expensive catalysts,and a lack of valid exploration of mechanisms in the hydrogena-tion/dehydrogenation ***,some future development prospects of MgH_(2)in energy-efficient conversion and storage have been presented,including advanced manufacturing ways,stabilization of nanostructures,the introduction of additives combined with structural modification,and utilization of advanced characterization techniques.

关键词： Mg-based hydrides Hydrogen storage A lloying Catalysts Mechanism

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An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems

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Journal of Bionic Engineering 2022年第5期19卷 1504-1521页

作者： Saeid Raziani Sajad Ahmadian Seyed Mohammad Jafar Jalali Abdolah Chalechale Department of Computer Engineering Razi UniversityKermanshah ***Iran Faculty of Information Technology Kermanshah University of TechnologyKermanshah ***Iran Institute for Intelligent Systems research and innovation(IISRI) Deakin UniversityWaurn PondsMelbourne 3217Australia

Feedforward Neural Network(FNN)is one of the most popular neural network models that is utilized to solve a wide range of nonlinear and complex *** models such as stochastic gradient descent have been developed to train ***,they mainly suffer from falling into local optima leading to reduce the accuracy of ***,the convergence speed of training process depends on the initial values of weights and biases in ***,these values are randomly determined by most of the training *** deal with these issues,in this paper,we develop a novel evolutionary algorithm by modifying the original version of Whale Optimization Algorithm(WOA).To this end,a nonlinear function is introduced to improve the exploration and exploitation phases in the search process of ***,the modified WOA is applied to automatically obtain the initial values of weights and biases in FNN leading to reduce the probability of falling into local *** addition,the FNN model trained by the modified WOA is used to develop a classification approach for medical diagnosis *** medical diagnosis datasets are utilized to evaluate the efficiency of the proposed ***,four evaluation metrics including accuracy,AUC,specificity,and sensitivity are used in the experiments to compare the performance of classification *** experimental results demonstrate that the proposed method is better than other competing classification models due to achieving higher values of accuracy,AUC,specificity,and sensitivity metrics for the used datasets.

关键词： Feed forward neural network meta-heuristic algorithm Whale optimization algorithm Optimization Classification Bionic algorithm

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