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  1. Article: The RELT Family of Proteins: An Increasing Awareness of Their Importance for Cancer, the Immune System, and Development.

    Cusick, John K / Alcaide, Jessa / Shi, Yihui

    Biomedicines

    2023  Volume 11, Issue 10

    Abstract: This review highlights Receptor Expressed in Lymphoid Tissues (RELT), a Tumor Necrosis Factor Superfamily member, and its two paralogs, RELL1 and RELL2. Collectively, these three proteins are referred to as RELTfms and have gained much interest in recent ...

    Abstract This review highlights Receptor Expressed in Lymphoid Tissues (RELT), a Tumor Necrosis Factor Superfamily member, and its two paralogs, RELL1 and RELL2. Collectively, these three proteins are referred to as RELTfms and have gained much interest in recent years due to their association with cancer and other human diseases. A thorough knowledge of their physiological functions, including the ligand for RELT, is lacking, yet emerging evidence implicates RELTfms in a variety of processes including cytokine signaling and pathways that either promote cell death or survival. T cells from mice lacking RELT exhibit increased responses against tumors and increased inflammatory cytokine production, and multiple lines of evidence indicate that RELT may promote an immunosuppressive environment for tumors. The relationship of individual RELTfms in different cancers is not universal however, as evidence indicates that individual RELTfms may be risk factors in certain cancers yet appear to be protective in other cancers. RELTfms are important for a variety of additional processes related to human health including microbial pathogenesis, inflammation, behavior, reproduction, and development. All three proteins have been strongly conserved in all vertebrates, and this review aims to provide a clearer understanding of the current knowledge regarding these interesting proteins.
    Language English
    Publishing date 2023-10-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines11102695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Protein phosphorylation and kinases: Potential therapeutic targets in necroptosis.

    Shi, Yihui / Wu, Chengkun / Shi, Jiayi / Gao, Taotao / Ma, Huabin / Li, Long / Zhao, Yufen

    European journal of pharmacology

    2024  Volume 970, Page(s) 176508

    Abstract: Necroptosis is a pivotal contributor to the pathogenesis of various human diseases, including those affecting the nervous system, cardiovascular system, pulmonary system, and kidneys. Extensive investigations have elucidated the mechanisms and ... ...

    Abstract Necroptosis is a pivotal contributor to the pathogenesis of various human diseases, including those affecting the nervous system, cardiovascular system, pulmonary system, and kidneys. Extensive investigations have elucidated the mechanisms and physiological ramifications of necroptosis. Among these, protein phosphorylation emerges as a paramount regulatory process, facilitating the activation or inhibition of specific proteins through the addition of phosphate groups to their corresponding amino acid residues. Currently, the targeting of kinases has gained recognition as a firmly established and efficacious therapeutic approach for diverse diseases, notably cancer. In this comprehensive review, we elucidate the intricate role of phosphorylation in governing key molecular players in the necroptotic pathway. Moreover, we provide an in-depth analysis of recent advancements in the development of kinase inhibitors aimed at modulating necroptosis. Lastly, we deliberate on the prospects and challenges associated with the utilization of kinase inhibitors to modulate necroptotic processes.
    MeSH term(s) Humans ; Phosphorylation ; Protein Kinases/metabolism ; Necroptosis ; Neoplasms/drug therapy ; Receptor-Interacting Protein Serine-Threonine Kinases/metabolism ; Apoptosis
    Chemical Substances Protein Kinases (EC 2.7.-) ; Receptor-Interacting Protein Serine-Threonine Kinases (EC 2.7.11.1)
    Language English
    Publishing date 2024-03-15
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 80121-5
    ISSN 1879-0712 ; 0014-2999
    ISSN (online) 1879-0712
    ISSN 0014-2999
    DOI 10.1016/j.ejphar.2024.176508
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Targeting Farnesoid X Receptor in Tumor and the Tumor Microenvironment: Implication for Therapy.

    Nenkov, Miljana / Shi, Yihui / Ma, Yunxia / Gaßler, Nikolaus / Chen, Yuan

    International journal of molecular sciences

    2023  Volume 25, Issue 1

    Abstract: The farnesoid-X receptor (FXR), a member of the nuclear hormone receptor superfamily, can be activated by bile acids (BAs). BAs binding to FXR activates BA signaling which is important for maintaining BA homeostasis. FXR is differentially expressed in ... ...

    Abstract The farnesoid-X receptor (FXR), a member of the nuclear hormone receptor superfamily, can be activated by bile acids (BAs). BAs binding to FXR activates BA signaling which is important for maintaining BA homeostasis. FXR is differentially expressed in human organs and exists in immune cells. The dysregulation of FXR is associated with a wide range of diseases including metabolic disorders, inflammatory diseases, immune disorders, and malignant neoplasm. Recent studies have demonstrated that FXR influences tumor cell progression and development through regulating oncogenic and tumor-suppressive pathways, and, moreover, it affects the tumor microenvironment (TME) by modulating TME components. These characteristics provide a new perspective on the FXR-targeted therapeutic strategy in cancer. In this review, we have summarized the recent research data on the functions of FXR in solid tumors and its influence on the TME, and discussed the mechanisms underlying the distinct function of FXR in various types of tumors. Additionally, the impacts on the TME by other BA receptors such as takeda G protein-coupled receptor 5 (TGR5), sphingosine-1-phosphate receptor 2 (S1PR2), and muscarinic receptors (CHRM2 and CHRM3), have been depicted. Finally, the effects of FXR agonists/antagonists in a combination therapy with PD1/PD-L1 immune checkpoint inhibitors and other anti-cancer drugs have been addressed.
    MeSH term(s) Humans ; Neoplasms/drug therapy ; Combined Modality Therapy ; Bile Acids and Salts ; Homeostasis ; Immune Checkpoint Inhibitors ; Tumor Microenvironment ; Receptor, Muscarinic M3
    Chemical Substances Bile Acids and Salts ; Immune Checkpoint Inhibitors ; CHRM3 protein, human ; Receptor, Muscarinic M3
    Language English
    Publishing date 2023-12-19
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25010006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Laparoscopic partial cystectomy for myofibroblastic cystitis: A case report.

    Shi, Yihui / Xia, Chengxing / Zhang, Pingxin / Li, Yuzhi / Yang, Delin

    Asian journal of surgery

    2023  Volume 47, Issue 1, Page(s) 659–660

    MeSH term(s) Humans ; Cystectomy ; Urinary Bladder/surgery ; Cystitis/etiology ; Cystitis/surgery ; Laparoscopy
    Language English
    Publishing date 2023-10-11
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.09.167
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A case report of renal dysplasia with papillary adenoma.

    Shi, Yihui / Xia, Chengxing / Zhang, Pingxin / Kong, Weihao / Yang, Delin

    Asian journal of surgery

    2023  Volume 47, Issue 3, Page(s) 1398

    MeSH term(s) Humans ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/surgery ; Adenoma/complications ; Adenoma/diagnostic imaging ; Adenoma/surgery ; Kidney Tubules, Proximal/abnormalities ; Urogenital Abnormalities ; Carcinoma, Renal Cell
    Language English
    Publishing date 2023-11-30
    Publishing country Netherlands
    Document type Case Reports ; Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2023.11.098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Emerging Novel Combined CAR-T Cell Therapies.

    Nguyen, Anh / Johanning, Gary / Shi, Yihui

    Cancers

    2022  Volume 14, Issue 6

    Abstract: Chimeric antigen receptors (CAR) T cells are T cells engineered to express membrane receptors with high specificity to recognize specific target antigens presented by cancer cells and are co-stimulated with intracellular signals to increase the T cell ... ...

    Abstract Chimeric antigen receptors (CAR) T cells are T cells engineered to express membrane receptors with high specificity to recognize specific target antigens presented by cancer cells and are co-stimulated with intracellular signals to increase the T cell response. CAR-T cell therapy is emerging as a novel therapeutic approach to improve T cell specificity that will lead to advances in precision medicine. CAR-T cells have had impressive outcomes in hematological malignancies. However, there continue to be significant limitations of these therapeutic responses in targeting solid malignancies such as heterogeneous antigens in solid tumors, tumor immunosuppressive microenvironment, risk of on-target/off-tumor, infiltrating CAR-T cells, immunosuppressive checkpoint molecules, and cytokines. This review paper summarizes recent approaches and innovations through combination therapies of CAR-T cells and other immunotherapy or small molecule drugs to counter the above disadvantages to potentiate the activity of CAR-T cells.
    Language English
    Publishing date 2022-03-09
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14061403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: New and Emerging Targeted Therapies for Advanced Breast Cancer.

    Lau, Kristie H / Tan, Alexandra M / Shi, Yihui

    International journal of molecular sciences

    2022  Volume 23, Issue 4

    Abstract: In the United States, breast cancer is among the most frequently diagnosed cancers in women. Breast cancer is classified into four major subtypes: human epidermal growth factor receptor 2 (HER2), Luminal-A, Luminal-B, and Basal-like or triple-negative, ... ...

    Abstract In the United States, breast cancer is among the most frequently diagnosed cancers in women. Breast cancer is classified into four major subtypes: human epidermal growth factor receptor 2 (HER2), Luminal-A, Luminal-B, and Basal-like or triple-negative, based on histopathological criteria including the expression of hormone receptors (estrogen receptor and/or progesterone receptor) and/or HER2. Primary breast cancer treatments can include surgery, radiation therapy, systemic chemotherapy, endocrine therapy, and/or targeted therapy. Endocrine therapy has been shown to be effective in hormone receptor-positive breast cancers and is a common choice for adjuvant therapy. However, due to the aggressive nature of triple-negative breast cancer, targeted therapy is becoming a noteworthy area of research in the search for non-endocrine-targets in breast cancer. In addition to HER2-targeted therapy, other emerging therapies include immunotherapy and targeted therapy against critical checkpoints and/or pathways in cell growth. This review summarizes novel targeted breast cancer treatments and explores the possible implications of combination therapy.
    MeSH term(s) Breast Neoplasms/drug therapy ; Cell Proliferation/drug effects ; Female ; Humans ; Immunotherapy/methods ; Molecular Targeted Therapy/methods ; Receptors, Steroid/metabolism
    Chemical Substances Receptors, Steroid
    Language English
    Publishing date 2022-02-18
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms23042288
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: An effective up-sampling approach for breast cancer prediction with imbalanced data: A machine learning model-based comparative analysis.

    Tran, Tuan / Le, Uyen / Shi, Yihui

    PloS one

    2022  Volume 17, Issue 5, Page(s) e0269135

    Abstract: Early detection of breast cancer plays a critical role in successful treatment that saves thousands of lives of patients every year. Despite massive clinical data have been collected and stored by healthcare organizations, only a small portion of the ... ...

    Abstract Early detection of breast cancer plays a critical role in successful treatment that saves thousands of lives of patients every year. Despite massive clinical data have been collected and stored by healthcare organizations, only a small portion of the data has been used to support decision-making for treatments. In this study, we proposed an engineered up-sampling method (ENUS) for handling imbalanced data to improve predictive performance of machine learning models. Our experiment results showed that when the ratio of the minority to the majority class is less than 20%, training models with ENUS improved the balanced accuracy 3.74%, sensitivity 8.36% and F1 score 3.83%. Our study also identified that XGBoost Tree (XGBTree) using ENUS achieved the best performance with an average balanced accuracy of 97.47% (min = 93%, max = 100%), sensitivity of 97.88% (min = 89% and max = 100%), and F1 score of 96.20% (min = 89.5%, max = 100%) in the validation dataset. Furthermore, our ensemble algorithm identified Cell_Shape and Nuclei as the most important attributes in predicting breast cancer. The finding re-affirms the previous knowledge of the relationship between Cell_Shape, Nuclei, and the grades of breast cancer using a data-driven approach. Finally, our experiment showed that Random Forest and Neural Network models had the least training time. Our study provided a comprehensive comparison of a wide range of machine learning methods in predicting breast cancer risk. It can be used as a tool for healthcare practitioners to effectively detect and treat breast cancer.
    MeSH term(s) Algorithms ; Breast Neoplasms/diagnosis ; Female ; Humans ; Machine Learning ; Neural Networks, Computer
    Language English
    Publishing date 2022-05-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0269135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Chimeric antigen receptor T-cell immunotherapy in breast cancer: development and challenges.

    Toulouie, Sara / Johanning, Gary / Shi, Yihui

    Journal of Cancer

    2021  Volume 12, Issue 4, Page(s) 1212–1219

    Abstract: Chimeric antigen receptor (CAR) T-cell therapy is an innovative form of immunotherapy wherein autologous T-cells are genetically modified to express chimeric receptors encoding an antigen-specific single-chain variable fragment and costimulatory ... ...

    Abstract Chimeric antigen receptor (CAR) T-cell therapy is an innovative form of immunotherapy wherein autologous T-cells are genetically modified to express chimeric receptors encoding an antigen-specific single-chain variable fragment and costimulatory molecules. Moreover, CAR T-cell therapy can only work successfully in patients who have an intact immune system. Therefore, patients receiving cytotoxic chemotherapy will be immunosuppressed making CAR-T therapy less effective. In adoptive CD8+ T-cell therapy (ACT), numerous tumor-specific, engineered T-cells are sourced from patients, expanded
    Language English
    Publishing date 2021-01-01
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 2573318-7
    ISSN 1837-9664
    ISSN 1837-9664
    DOI 10.7150/jca.54095
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  10. Article ; Online: Breast Cancer Predisposition Genes and Synthetic Lethality.

    Neiger, Hannah E / Siegler, Emily L / Shi, Yihui

    International journal of molecular sciences

    2021  Volume 22, Issue 11

    Abstract: ... ...

    Abstract BRCA1
    MeSH term(s) BRCA1 Protein/genetics ; BRCA2 Protein/genetics ; Breast Neoplasms/genetics ; Breast Neoplasms/therapy ; DNA Repair ; Fanconi Anemia Complementation Group N Protein/genetics ; Female ; Genetic Predisposition to Disease ; Humans ; Synthetic Lethal Mutations
    Chemical Substances BRCA1 Protein ; BRCA1 protein, human ; BRCA2 Protein ; BRCA2 protein, human ; Fanconi Anemia Complementation Group N Protein ; PALB2 protein, human
    Language English
    Publishing date 2021-05-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms22115614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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