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  1. Article ; Online: Can

    Yin, Haoli / Chen, Mengxia / Qiu, Xuefeng / Qiu, Li / Gao, Jie / Li, Danyan / Fu, Yao / Huang, Haifeng / Guo, Suhan / Zhang, Qing / Ai, Shuyue / Wang, Feng / Guo, Hongqian

    European journal of nuclear medicine and molecular imaging

    2021  Volume 48, Issue 11, Page(s) 3693–3701

    Abstract: Purpose: Prostate-specific membrane antigen (PSMA) positron emission tomography (PSMA-PET) is an ideal tool for staging and restaging of prostate cancer (PCa). This study was designed to investigate the prognostic role of preoperative : Methods: A ... ...

    Abstract Purpose: Prostate-specific membrane antigen (PSMA) positron emission tomography (PSMA-PET) is an ideal tool for staging and restaging of prostate cancer (PCa). This study was designed to investigate the prognostic role of preoperative
    Methods: A total of 67 biopsy-confirmed localized PCa patients with mpMRI and
    Results: Pathological upgrading from mpMRI-TB to final RP specimens occurred in 38.8% (26/67) of the patients. Multivariable logistic regression analysis showed SUV
    Conclusion: 68
    MeSH term(s) Biopsy ; Edetic Acid ; Gallium Isotopes ; Gallium Radioisotopes ; Humans ; Magnetic Resonance Imaging ; Male ; Positron Emission Tomography Computed Tomography ; Prostatectomy ; Prostatic Neoplasms/diagnostic imaging ; Prostatic Neoplasms/surgery ; Tomography, X-Ray Computed
    Chemical Substances Gallium Isotopes ; Gallium Radioisotopes ; gallium 68 PSMA-11 ; Edetic Acid (9G34HU7RV0)
    Language English
    Publishing date 2021-04-04
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 8236-3
    ISSN 1619-7089 ; 0340-6997 ; 1619-7070
    ISSN (online) 1619-7089
    ISSN 0340-6997 ; 1619-7070
    DOI 10.1007/s00259-021-05217-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Can

    Chen, Mengxia / Zhuang, Junlong / Fu, Yao / Guo, Suhan / Zang, Shiming / Ai, Shuyue / Qiu, Xuefeng / Wang, Feng / Guo, Hongqian

    The Journal of urology

    2020  Volume 205, Issue 4, Page(s) 1082–1089

    Abstract: Purpose: We explored the role of : Materials and methods: A total of 45 patients with localized high risk prostate cancer who had serial : Results: Compared to the prostate specific antigen response, positron emission tomography/computerized ... ...

    Abstract Purpose: We explored the role of
    Materials and methods: A total of 45 patients with localized high risk prostate cancer who had serial
    Results: Compared to the prostate specific antigen response, positron emission tomography/computerized tomography response had a significantly higher specificity in diagnosing favorable pathological response (89.7% vs 62.1%, p=0.043). Preoperative nadir prostate specific antigen (OR 0.121, 95% CI 0.028-0.529, p=0.005), posttreatment maximum standardized uptake value (OR 7.072, 95% CI 2.035-24.579, p=0.002) and posttreatment tumor volume (OR 7.896, 95% CI 1.415-44.054, p=0.018) measured on positron emission tomography/computerized tomography were significantly associated with favorable pathological response in univariable logistic regression analysis. On multivariable logistic regression analysis, only posttreatment maximum standardized uptake value was found to be an independent predictor of favorable pathological response (OR 9.69, 95% CI 1.439-65.242, p=0.020).
    Conclusions: 68
    MeSH term(s) Aged ; Androgen Antagonists/therapeutic use ; Biomarkers, Tumor/blood ; Edetic Acid/analogs & derivatives ; Humans ; Male ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm Grading ; Neoplasm Staging ; Oligopeptides ; Pilot Projects ; Positron Emission Tomography Computed Tomography ; Predictive Value of Tests ; Prostate-Specific Antigen/blood ; Prostatectomy ; Prostatic Neoplasms/diagnostic imaging ; Prostatic Neoplasms/drug therapy ; Prostatic Neoplasms/pathology ; Prostatic Neoplasms/surgery
    Chemical Substances Androgen Antagonists ; Biomarkers, Tumor ; Oligopeptides ; gallium 68 PSMA-11 ; Edetic Acid (9G34HU7RV0) ; Prostate-Specific Antigen (EC 3.4.21.77)
    Language English
    Publishing date 2020-11-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3176-8
    ISSN 1527-3792 ; 0022-5347
    ISSN (online) 1527-3792
    ISSN 0022-5347
    DOI 10.1097/JU.0000000000001481
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Strength of Materials

    Jaramillo, Héctor S. / Arnaldo Avila, Julian / Chen, Can

    2020  

    Keywords Materials science
    Size 1 electronic resource (200 pages)
    Publisher IntechOpen
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021045782
    ISBN 9781838801434 ; 183880143X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Article: Enhancing Leukemia Treatment: The Role of Combined Therapies Based on Amino Acid Starvation.

    Chen, Can / Zhang, Ji

    Cancers

    2024  Volume 16, Issue 6

    Abstract: Cancer cells demand amino acids beyond their usage as "building blocks" for protein synthesis. As a result, targeting amino acid acquisition and utilization has emerged as a pivotal strategy in cancer treatment. In the setting of leukemia therapy, ... ...

    Abstract Cancer cells demand amino acids beyond their usage as "building blocks" for protein synthesis. As a result, targeting amino acid acquisition and utilization has emerged as a pivotal strategy in cancer treatment. In the setting of leukemia therapy, compelling examples of targeting amino acid metabolism exist at both pre-clinical and clinical stages. This review focuses on summarizing novel insights into the metabolism of glutamine, asparagine, arginine, and tryptophan in leukemias, and providing a comprehensive discussion of perturbing their metabolism to improve the therapeutic outcomes. Certain amino acids, such as glutamine, play a vital role in the energy metabolism of cancer cells and the maintenance of redox balance, while others, such as arginine and tryptophan, contribute significantly to the immune microenvironment. Therefore, assessing the efficacy of targeting amino acid metabolism requires comprehensive strategies. Combining traditional chemotherapeutics with novel strategies to perturb amino acid metabolism is another way to improve the outcome in leukemia patients via overcoming chemo-resistance or promoting immunotherapy. In this review, we also discuss several ongoing or complete clinical trials, in which targeting amino acid metabolism is combined with other chemotherapeutics in treating leukemia.
    Language English
    Publishing date 2024-03-16
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers16061171
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Survey on Hyperlink Prediction.

    Chen, Can / Liu, Yang-Yu

    IEEE transactions on neural networks and learning systems

    2023  Volume PP

    Abstract: As a natural extension of link prediction on graphs, hyperlink prediction aims for the inference of missing hyperlinks in hypergraphs, where a hyperlink can connect more than two nodes. Hyperlink prediction has applications in a wide range of systems, ... ...

    Abstract As a natural extension of link prediction on graphs, hyperlink prediction aims for the inference of missing hyperlinks in hypergraphs, where a hyperlink can connect more than two nodes. Hyperlink prediction has applications in a wide range of systems, from chemical reaction networks and social communication networks to protein-protein interaction networks. In this article, we provide a systematic and comprehensive survey on hyperlink prediction. We adopt a classical taxonomy from link prediction to classify the existing hyperlink prediction methods into four categories: similarity-based, probability-based, matrix optimization-based, and deep learning-based methods. To compare the performance of methods from different categories, we perform a benchmark study on various hypergraph applications using representative methods from each category. Notably, deep learning-based methods prevail over other methods in hyperlink prediction.
    Language English
    Publishing date 2023-06-26
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2023.3286280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Impacts of the population ageing on the effects of the nationwide emission trading scheme in China.

    Chen, Shuyang / Wang, Can

    The Science of the total environment

    2023  Volume 887, Page(s) 164127

    Abstract: Nowadays, population ageing is a common social phenomenon that occurs worldwide. Rapid ageing may have profound socioeconomic impacts, and thus it may influence effects of climate policy. Nevertheless, very few previous researchers have evaluated climate ...

    Abstract Nowadays, population ageing is a common social phenomenon that occurs worldwide. Rapid ageing may have profound socioeconomic impacts, and thus it may influence effects of climate policy. Nevertheless, very few previous researchers have evaluated climate policy in an ageing society. In this paper, we attempt to narrow the research gap by incorporating ageing impact in climate policy evaluation. Specifically, we have modeled ageing impacts on labor supply, household electricity consumption, and health expenditure. The core of the research framework in this paper is a dynamic recursive Computable General Equilibrium (CGE) model. The model results show that population ageing tends to decrease private health expenditure but increase governmental health expenditure. In contrast, Emission Trading Scheme (ETS) decreases both private and governmental health expenditure. Both population ageing and ETS decrease labor employment, employment rate, GDP, and carbon emissions. The results imply that population ageing lays heavy burdens on social healthcare system, whilst climate policy reduces governmental health expenditure. In ageing societies, mitigation targets can be achieved less costly and more easily through implementing ETS.
    MeSH term(s) China ; Policy ; Climate ; Carbon/analysis
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2023-05-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.164127
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Distributional employment impacts of the nationwide emission trading scheme in China.

    Chen, Shuyang / Wang, Can

    Journal of environmental management

    2023  Volume 334, Page(s) 117526

    Abstract: When evaluating climate policy, previous researchers tend to exaggerate positive employment benefits at aggregate level. Nevertheless, distributional employment at sectoral level is usually neglected, and consequently policy implementation may be impeded ...

    Abstract When evaluating climate policy, previous researchers tend to exaggerate positive employment benefits at aggregate level. Nevertheless, distributional employment at sectoral level is usually neglected, and consequently policy implementation may be impeded by the sectors with severe employment loss. Hence, distributional employment impacts of climate policy should be comprehensively studied. To achieve this target, in this paper, a Computable General Equilibrium (CGE) model is employed to simulate the Chinese nationwide Emission Trading Scheme (ETS). The CGE model results show that the ETS decreased total labor employment by approximately 3% in 2021, and then this negative impact will diminish to zero in 2024; the ETS will positively affect total labor employment in 2025-2030. The ETS increases labor employment in the electricity sectors and also agriculture, water, heat, and gas production sectors, as these sectors are complementary to the electricity sectors or do not have intensive use of electricity. In contrast, the ETS decreases labor employment in the sectors with intensive use of electricity, including the coal and petrol production, manufacturing, mining, construction, transport, and service sectors. Overall, a climate policy, which covers electricity generation only and is time-invariant, tends to have time-decreasing employment impacts. Because this policy increases labor employment in electricity generation from nonrenewable energy, it cannot help achieve low-carbon transition.
    MeSH term(s) China ; Commerce ; Coal ; Policy ; Employment ; Carbon/analysis
    Chemical Substances Coal ; Carbon (7440-44-0)
    Language English
    Publishing date 2023-02-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117526
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Association between red blood cell distribution width and all-cause mortality of patients after intra-aortic balloon pump in the intensive care unit.

    Jia, Zhongheng / Jin, Can / Pan, Da / Chen, Daqing

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27498

    Abstract: Objectives: This study aimed to explore the relationship between red blood cell distribution width (RDW) and all-cause mortality in critically ill patients undergoing intra-aortic balloon pumping (IABP) in the intensive care unit (ICU).: Methods: ... ...

    Abstract Objectives: This study aimed to explore the relationship between red blood cell distribution width (RDW) and all-cause mortality in critically ill patients undergoing intra-aortic balloon pumping (IABP) in the intensive care unit (ICU).
    Methods: This study retrospectively analyzed data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The primary endpoint was the 30-day mortality rate, while the secondary endpoint was the in-hospital mortality rate. Restricted cubic splines were used to assess the dose-response relationship. The receiver operating characteristic (ROC) curve and Kaplan-Meier curve analysis were carried out to evaluate the predictive performance of RDW. Moreover, multiple logistic regression analyses and subgroup analyses were conducted to investigate the relationship between RDW and 30-day mortality. Finally, propensity score matching (PSM) was performed to adjust for the imbalance of covariates.
    Results: In total, 732 patients were finally identified from the MIMIC-IV database in this study. The RDW of patients in the non-survivor group was significantly higher compared with those in the survivor group (P < 0.01). Multiple logistic regression analyses corroborated RDW was an independent predictor of all-cause 30-day mortality in critically ill patients post-IABP. Meanwhile, ROC analysis identified an RDW cutoff of 14.2%. High RDW patients exhibited a 131% (OR = 2.31, 95% CI: 1.49-3.61) elevated risk of 30-day mortality after adjusting for confounders in multivariable logistic regression. After PSM, 412 patients were included in the matched cohort. In the original and matched cohorts, the high RDW group had higher 30-day and in-hospital mortality rates, as well as longer ICU stays. Lastly, the area under the ROC curve for 30-day mortality was 0.686, with an optimal cutoff point of 14.2 for RDW (sensitivity: 69.09 % and specificity: 63.32%).
    Conclusion: RDW could be a simple and valuable prognostic tool to predict mortality in critically ill patients after IABP.
    Language English
    Publishing date 2024-03-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27498
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Artificial light at night causes community instability of bacterial community in urban soils.

    Li, Xiao-Min / Hu, Hui-Feng / Chen, Song-Can

    The Science of the total environment

    2024  Volume 921, Page(s) 171129

    Abstract: Urban soils host diverse bacteria crucial for ecosystem functions and urban health. As urbanization rises, artificial light at night (ALAN) imposes disturbances on soil ecosystems, yet how ALAN affects the structure and stability of soil bacterial ... ...

    Abstract Urban soils host diverse bacteria crucial for ecosystem functions and urban health. As urbanization rises, artificial light at night (ALAN) imposes disturbances on soil ecosystems, yet how ALAN affects the structure and stability of soil bacterial community remains unclear. Here we coupled a short-term incubation experiment, community profiling, network analysis, and in situ field survey to assess the ecological impacts of ALAN. We showed that ALAN influenced bacterial compositions and shifted the bacterial network to a less stable phase, altering denitrification potential. Such transition in community stability probably resulted from an ALAN-induced decrease in competition and/or an increase in facilitation, in line with the Stress Gradient Hypothesis. Similar destabilizing effects were also detected in bacterial networks in multiple urban soils subjected to different levels of ALAN stress, supporting the action of ALAN on naturally-occurring soil bacterial communities. Overall, our findings highlight ALAN as a new form of anthropogenic stress that jeopardizes the stability of soil bacterial community, which would facilitate ecological projection of expanding ALAN exposure.
    MeSH term(s) Ecosystem ; Soil ; Light Pollution ; Environment ; Bacteria ; Light
    Chemical Substances Soil
    Language English
    Publishing date 2024-02-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.171129
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Stability Analysis of Higher-order Ecological Networks through Tensor Decompositions

    Dong, Anqi / Chen, Can

    2024  

    Abstract: Complex ecological networks are characterized by intricate interactions that extend beyond traditional pairwise relationships. Understanding the stability of higher-order ecological networks is salient for species coexistence, biodiversity, and community ...

    Abstract Complex ecological networks are characterized by intricate interactions that extend beyond traditional pairwise relationships. Understanding the stability of higher-order ecological networks is salient for species coexistence, biodiversity, and community persistence. In this article, we present a novel approach for stability analysis of higher-order ecological networks through tensor decompositions. We are particularly interested in the higher-order generalized Lotka-Volterra model, which captures high-order interactions using tensors of varying orders. To efficiently compute Jacobian matrices and thus determine stability in large ecological networks, we exploit various tensor decompositions, including higher-order singular value decomposition, Canonical Polyadic decomposition, and tensor train decomposition, accompanied by in-depth computational and memory complexity analyses. We demonstrate the effectiveness of our framework with numerical examples.

    Comment: 6 pages, 3 figures
    Keywords Electrical Engineering and Systems Science - Systems and Control ; Mathematics - Numerical Analysis ; Mathematics - Optimization and Control ; 93Dxx ; 05C65 ; 92D40 ; 15A69
    Subject code 510
    Publishing date 2024-01-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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