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  1. Article ; Online: Targeting Epidermal Growth Factor Receptor for Cancer Treatment: Abolishing Both Kinase-Dependent and Kinase-Independent Functions of the Receptor.

    Zhang, Yuesheng

    Pharmacological reviews

    2023  Volume 75, Issue 6, Page(s) 1218–1232

    Abstract: Epidermal growth factor receptor (EGFR), a receptor tyrosine kinase, is activated by ligand binding, overexpression, or mutation. It is well known for its tyrosine kinase-dependent oncogenic activities in a variety of human cancers. A large number of ... ...

    Abstract Epidermal growth factor receptor (EGFR), a receptor tyrosine kinase, is activated by ligand binding, overexpression, or mutation. It is well known for its tyrosine kinase-dependent oncogenic activities in a variety of human cancers. A large number of EGFR inhibitors have been developed for cancer treatment, including monoclonal antibodies, tyrosine kinase inhibitors, and a vaccine. The EGFR inhibitors are aimed at inhibiting the activation or the activity of EGFR tyrosine kinase. However, these agents have shown efficacy in only a few types of cancers. Drug resistance, both intrinsic and acquired, is common even in cancers where the inhibitors have shown efficacy. The drug resistance mechanism is complex and not fully known. The key vulnerability of cancer cells that are resistant to EGFR inhibitors has not been identified. Nevertheless, it has been increasingly recognized in recent years that EGFR also possesses kinase-independent oncogenic functions and that these noncanonical functions may play a crucial role in cancer resistance to EGFR inhibitors. In this review, both kinase-dependent and -independent activities of EGFR are discussed. Also discussed are the mechanisms of actions and therapeutic activities of clinically used EGFR inhibitors and sustained EGFR overexpression and EGFR interaction with other receptor tyrosine kinases to counter the EGFR inhibitors. Moreover, this review discusses emerging experimental therapeutics that have shown potential for overcoming the limitation of the current EGFR inhibitors in preclinical studies. The findings underscore the importance and feasibility of targeting both kinase-dependent and -independent functions of EGFR to enhance therapeutic efficacy and minimize drug resistance. SIGNIFICANCE STATEMENT: EGFR is a major oncogenic driver and therapeutic target, but cancer resistance to current EGFR inhibitors remains a significant unmet clinical problem. This article reviews the cancer biology of EGFR as well as the mechanisms of actions and the therapeutic efficacies of current and emerging EGFR inhibitors. The findings could potentially lead to development of more effective treatments for EGFR-positive cancers.
    MeSH term(s) Humans ; Protein Kinase Inhibitors/pharmacology ; Protein Kinase Inhibitors/therapeutic use ; ErbB Receptors/genetics ; ErbB Receptors/metabolism ; Neoplasms/drug therapy ; Antibodies, Monoclonal/genetics ; Antibodies, Monoclonal/metabolism ; Antibodies, Monoclonal/pharmacology ; Phosphorylation ; Drug Resistance, Neoplasm ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Mutation
    Chemical Substances Protein Kinase Inhibitors ; ErbB Receptors (EC 2.7.10.1) ; Antibodies, Monoclonal ; Antineoplastic Agents
    Language English
    Publishing date 2023-06-20
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 209898-2
    ISSN 1521-0081 ; 0031-6997
    ISSN (online) 1521-0081
    ISSN 0031-6997
    DOI 10.1124/pharmrev.123.000906
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Effects of mobile-supervised question-driven collaborative dialogues on EFL learners' communication strategy use and academic oral English performance.

    Cai, Yuesheng / Zhang, Lawrence Jun

    Frontiers in psychology

    2023  Volume 14, Page(s) 1142651

    Abstract: This study investigated the effects of mobile-supervised question-driven collaborative dialogues (QDCDs) on reducing lower-intermediate-level English as a foreign language (EFL) participants' tendency of their first language (L1) use in academic ... ...

    Abstract This study investigated the effects of mobile-supervised question-driven collaborative dialogues (QDCDs) on reducing lower-intermediate-level English as a foreign language (EFL) participants' tendency of their first language (L1) use in academic collaborative dialogues and on improving their academic foreign language (L2) oral performance. Throughout a whole semester, one group (
    Language English
    Publishing date 2023-07-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1142651
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The root cause of drug resistance in HER2-positive breast cancer and the therapeutic approaches to overcoming the resistance.

    Zhang, Yuesheng

    Pharmacology & therapeutics

    2020  Volume 218, Page(s) 107677

    Abstract: HER2 is a well-known oncogenic receptor tyrosine kinase. HER2 gene amplification occurs in about 20% of breast cancer (BC), which leads to overexpression of HER2 protein, known as HER2-positive BC. Inhibitors of HER2 have significantly improved the ... ...

    Abstract HER2 is a well-known oncogenic receptor tyrosine kinase. HER2 gene amplification occurs in about 20% of breast cancer (BC), which leads to overexpression of HER2 protein, known as HER2-positive BC. Inhibitors of HER2 have significantly improved the prognosis of patients with this subset of BC. Since 1998, seven HER2 inhibitors have been developed to treat this disease. However, drug resistance is common and remains a major unresolved clinical problem. Patients typically show disease progression after some time on treatment. This review discusses the complexity and diversified nature of HER2 signaling, the mechanisms of actions and therapeutic activities of all HER2 inhibitors, the roles of HER2 and other signaling proteins in HER2-positive BC resistant to the inhibitors, the non-cell-autonomous mechanisms of drug resistance, and the heterogeneity of tumor HER2 expression. The review presents the concept that drug resistance in HER2-positive BC results primarily from the inability of HER2 inhibitors to deplete HER2. Emerging therapeutics that are promising for overcoming drug resistance are also discussed.
    MeSH term(s) Antineoplastic Agents/pharmacology ; Breast Neoplasms/drug therapy ; Breast Neoplasms/genetics ; Drug Resistance, Neoplasm/drug effects ; Drug Resistance, Neoplasm/genetics ; Female ; Humans ; Oncogenes
    Chemical Substances Antineoplastic Agents
    Language English
    Publishing date 2020-09-06
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 194735-7
    ISSN 1879-016X ; 0163-7258
    ISSN (online) 1879-016X
    ISSN 0163-7258
    DOI 10.1016/j.pharmthera.2020.107677
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Chemical Epigenetic Regulation Secondary Metabolites Derived from

    Shi, Xuan / Li, Xia / He, Xiaoshi / Zhang, Danyang / Quan, Chunshan / Xiu, Zhilong / Dong, Yuesheng

    Molecules (Basel, Switzerland)

    2024  Volume 29, Issue 3

    Abstract: Protein tyrosine phosphatases (PTPs) are ubiquitous in living organisms and are promising drug targets for cancer, diabetes/obesity, and autoimmune disorders. In this study, a histone deacetylase inhibitor called suberoylanilide hydroxamic acid (SAHA) ... ...

    Abstract Protein tyrosine phosphatases (PTPs) are ubiquitous in living organisms and are promising drug targets for cancer, diabetes/obesity, and autoimmune disorders. In this study, a histone deacetylase inhibitor called suberoylanilide hydroxamic acid (SAHA) was added to a culture of marine fungi (
    MeSH term(s) Epigenesis, Genetic ; Aspergillus/chemistry ; Protein Tyrosine Phosphatases ; Vorinostat/pharmacology
    Chemical Substances Protein Tyrosine Phosphatases (EC 3.1.3.48) ; Vorinostat (58IFB293JI)
    Language English
    Publishing date 2024-01-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29030670
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Convergence of deep convolutional neural networks.

    Xu, Yuesheng / Zhang, Haizhang

    Neural networks : the official journal of the International Neural Network Society

    2022  Volume 153, Page(s) 553–563

    Abstract: Convergence of deep neural networks as the depth of the networks tends to infinity is fundamental in building the mathematical foundation for deep learning. In a previous study, we investigated this question for deep networks with the Rectified Linear ... ...

    Abstract Convergence of deep neural networks as the depth of the networks tends to infinity is fundamental in building the mathematical foundation for deep learning. In a previous study, we investigated this question for deep networks with the Rectified Linear Unit (ReLU) activation function and with a fixed width. This does not cover the important convolutional neural networks where the widths are increased from layer to layer. For this reason, we first study convergence of general ReLU networks with increased widths and then apply the results obtained to deep convolutional neural networks. It turns out the convergence reduces to convergence of infinite products of matrices with increased sizes, which has not been considered in the literature. We establish sufficient conditions for convergence of such infinite products of matrices. Based on the conditions, we present sufficient conditions for pointwise convergence of general deep ReLU networks with increasing widths, and as well as pointwise convergence of deep ReLU convolutional neural networks.
    MeSH term(s) Neural Networks, Computer
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2022.06.031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Host-Guest Interaction Mediated Interfacial Co-Assembly of Cyclodextrin and Bottlebrush Surfactants for Precisely Tunable Photonic Supraballs.

    Liu, Dezhi / Zhang, Zhenli / Zhang, Kunyu / Li, Yuesheng / Song, Dong-Po

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2312099

    Abstract: Investigations of host-guest interactions at water-oil (w/o) interfaces are limited in single emulsion systems producing simple self-assembled objects with limited uses. Here, within hierarchically ordered water-in-oil-in-water (w/o/w) multiple emulsion ... ...

    Abstract Investigations of host-guest interactions at water-oil (w/o) interfaces are limited in single emulsion systems producing simple self-assembled objects with limited uses. Here, within hierarchically ordered water-in-oil-in-water (w/o/w) multiple emulsion droplets, interfacial self-assembly of (polynorbornene-graft-polystyrene)-block-(polynorbornene-graft-polyethylene glycol) (PNPS-b-PNPEG) bottlebrush block copolymers can be precisely controlled through host-guest interactions. α-Cyclodextrin (α-CD) in the aqueous phase can thread onto PEG side chains of the bottlebrush surfactants adsorbed at the w/o interface, leading to dehydration and collapsed chain conformation of the PEG block. Consequently, spherical curvature of the w/o internal droplets increases with the increased asymmetry of the bottlebrush molecules, producing photonic supraballs with precisely tailored structural parameters as well as photonic bandgaps. This work provides a simple but highly effective strategy for precise manipulation of complex emulsion systems applicable in a variety of applications, such as photonic pigments, cosmetic products, pesticides, artificial cells, etc.
    Language English
    Publishing date 2024-04-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202312099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Roles of Microtubule-Associated Protein 4 in Wound Healing and Human Diseases.

    Chen, Qiquan / Zhang, Junhui / Song, Zhiqiang / Huang, Yuesheng

    Frontiers in bioscience (Landmark edition)

    2023  Volume 28, Issue 4, Page(s) 76

    Abstract: Microtubules (MTs) are essential structural elements of cells. MT stability and dynamics play key roles in integrity of cell morphology and various cellular activities. The MT-associated proteins (MAPs) are specialized proteins that interact with MT and ... ...

    Abstract Microtubules (MTs) are essential structural elements of cells. MT stability and dynamics play key roles in integrity of cell morphology and various cellular activities. The MT-associated proteins (MAPs) are specialized proteins that interact with MT and induce MT assemble into distinct arrays. Microtubule-associated protein 4 (MAP4), a member of MAPs family, ubiquitously expressed in both neuronal and non-neuronal cells and tissues, plays a key role in regulating MT stability. Over the past 40 years or so, the mechanism of MAP4 regulating MT stability has been well studied. In recent years, more and more studies have found that MAP4 affects the activities of sundry human cells through regulating MT stability with different signaling pathways, plays important roles in the pathogenesis of a number of disorders. The aim of this review is to outline the detailed regulatory mechanisms of MAP4 in MT stability, and to focus on its specific mechanisms in wound healing and various human diseases, thus to highlight the possibility of MAP4 as a future therapeutic target for accelerating wound healing and treating other disorders.
    MeSH term(s) Humans ; Microtubule-Associated Proteins/genetics ; Microtubule-Associated Proteins/chemistry ; Microtubule-Associated Proteins/metabolism ; Microtubules/metabolism ; Neurons/metabolism ; Protein Binding ; Wound Healing
    Chemical Substances Microtubule-Associated Proteins
    Language English
    Publishing date 2023-05-01
    Publishing country Singapore
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2704569-9
    ISSN 2768-6698 ; 2768-6698
    ISSN (online) 2768-6698
    ISSN 2768-6698
    DOI 10.31083/j.fbl2804076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Trends of rhinoplasty research in the last decade with bibliometric analysis.

    Zhu, Xuanru / Zhang, Bin / Huang, Yuesheng

    Frontiers in surgery

    2023  Volume 9, Page(s) 1067934

    Abstract: Background: As rhinoplasty (RP) with different requirements is becoming more and more popular in the latest decade, this study aims to quantitatively and qualitatively explore the trends in RP research, depict research hotspots, and point out the future ...

    Abstract Background: As rhinoplasty (RP) with different requirements is becoming more and more popular in the latest decade, this study aims to quantitatively and qualitatively explore the trends in RP research, depict research hotspots, and point out the future direction with a bibliometric analysis.
    Methods: All RP literature studies in the last decade (from 2012 to 2021) were retrieved from the Web of Science Core database. Annual output, institutions, authors, journals, and most-cited literature studies were analyzed by bibliometric tools, including CiteSpace, bibliometric online platform, bibliometrix R language kit, BICOMB, and gCLUTO.
    Results: A total of 2,590 RP research studies dated between 2012 and 2021 were included according to our criterion. As for the country, the United States, Turkey, and Korea maintained the top three in RP research. As for the institutions, the University of California, Irvine, Stanford University, and University of Ulsan ranked top three in RP research publications based on article counts. Professor Rhorich RJ, Most SP, and Jang YJ were the most contributed authors according to article counts and citation number. The top journals were
    Conclusions: We comprehensively summarized the publication information of RP literature studies in the past decade, highlighted the current status and trends over time, and provide guidance for in-depth research direction on RP for the future.
    Language English
    Publishing date 2023-01-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2022.1067934
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Dendrobium officinale

    Liu, Haodong / Xing, Yan / Wang, Yinbo / Ren, Xinxiu / Zhang, Danyang / Dai, Jianying / Xiu, Zhilong / Yu, Shiqiang / Dong, Yuesheng

    Foods (Basel, Switzerland)

    2023  Volume 12, Issue 12

    Abstract: Dendrobium ... ...

    Abstract Dendrobium officinale
    Language English
    Publishing date 2023-06-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704223-6
    ISSN 2304-8158
    ISSN 2304-8158
    DOI 10.3390/foods12122310
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths

    Xu, Yuesheng / Zhang, Haizhang

    2023  

    Abstract: We consider deep neural networks with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in which sufficient conditions on weight matrices and bias vectors ... ...

    Abstract We consider deep neural networks with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in which sufficient conditions on weight matrices and bias vectors together with the Lipschitz constant are provided to ensure uniform convergence of the deep neural networks to a meaningful function as the number of their layers tends to infinity. In the framework, special results on uniform convergence of deep neural networks with a fixed width, bounded widths and unbounded widths are presented. In particular, as convolutional neural networks are special deep neural networks with weight matrices of increasing widths, we put forward conditions on the mask sequence which lead to uniform convergence of resulting convolutional neural networks. The Lipschitz continuity assumption on the activation functions allows us to include in our theory most of commonly used activation functions in applications.
    Keywords Computer Science - Machine Learning
    Subject code 519
    Publishing date 2023-06-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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