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  1. Article ; Online: Gene S-phase kinase associated protein 2 is a novel prognostic marker in human neoplasms.

    Li, Guo-Sheng / Huang, Tao / Zhou, Hua-Fu

    BMC medical genomics

    2023  Volume 16, Issue 1, Page(s) 128

    Abstract: Background: Neoplasms are a series of diseases affecting human health. Prognostic and tumor status-related markers for various tumors should be identified.: Methods: Based on 19,515 samples from multiple sources, for the first time, this study ... ...

    Abstract Background: Neoplasms are a series of diseases affecting human health. Prognostic and tumor status-related markers for various tumors should be identified.
    Methods: Based on 19,515 samples from multiple sources, for the first time, this study provided an overview of gene S-phase kinase associated protein 2 (SKP2) in pan-cancer. Differential SKP2 expression in multiple comparison groups was identified by the Kruskal-Wallis test and Wilcoxon rank-sum test. The prognosis significance of SKP2 in individuals with neoplasm was evaluated through univariate Cox regression analysis and Kaplan-Meier curves. The area under the curve was utilized to detect the accuracy of SKP2 in predicting cancer status. Spearman's rank correlation coefficients were calculated in all correlation analyses. Gene set enrichment analysis was used to identify essential signaling pathways of SKP2 in human neoplasms.
    Results: The study disclosed the upregulated SKP2 expression in 15 neoplasms and decreased SKP2 expression in three cancers (p < 0.05). The transcription factor Forkhead Box M1 may contribute to the increased expression levels of SKP2 in certain tumors. Over-expressed SKP2 represented a risk factor for the prognosis of most cancer patients (hazard ratio > 1, p < 0.05). SKP2 expression made it feasible to distinguish neoplasm and control tissues of 21 neoplasms (sensitivity = 0.79, specificity = 0.87, area under the curve = 0.90), implying its potential in screening a series of neoplasms. Further, the research revealed the close association of SKP2 expression with DNA methyltransferases, mismatch repair genes, microsatellite instability, tumor mutational burden, neoantigen count, and immunity.
    Conclusions: SKP2 plays an essential role in multiple neoplasms and may serve as a marker for treating and identifying these neoplasms.
    MeSH term(s) Humans ; Prognosis ; S-Phase Kinase-Associated Proteins ; Neoplasms ; Biomarkers, Tumor ; DNA Methylation
    Chemical Substances S-Phase Kinase-Associated Proteins ; Biomarkers, Tumor
    Language English
    Publishing date 2023-06-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2411865-5
    ISSN 1755-8794 ; 1755-8794
    ISSN (online) 1755-8794
    ISSN 1755-8794
    DOI 10.1186/s12920-023-01561-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Knowledge mapping and visualization analysis of pelvic organ prolapse repair with mesh from 2001 to 2021.

    Zhou, Quan / Lu, Man / Li, Guo-Sheng / Peng, Gan-Lu / Song, Yan-Feng

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1104724

    Abstract: Aims: ...

    Abstract Aims:
    Language English
    Publishing date 2023-04-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1104724
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Identification of potential molecular mechanisms and therapeutic targets for recurrent pelvic organ prolapse.

    Zhou, Quan / Lu, Man / Li, Guo-Sheng / Peng, Gan-Lu / Song, Yan-Feng

    Heliyon

    2023  Volume 9, Issue 9, Page(s) e19440

    Abstract: Background: The pathogenesis of recurrent pelvic organ prolapse (POP) is currently unclear. Therefore, developing targeted preventive measures is difficult. This study identified potential key pathways, crucial genes, comorbidities, and therapeutic ... ...

    Abstract Background: The pathogenesis of recurrent pelvic organ prolapse (POP) is currently unclear. Therefore, developing targeted preventive measures is difficult. This study identified potential key pathways, crucial genes, comorbidities, and therapeutic targets associated with the occurrence and development of recurrent POP.
    Methods: The original microarray data GSE28660, GSE53868, and GSE12852 were downloaded from the GEO database. Identification and validation of differentially expressed genes (DEGs) and hub genes associated with recurrent POP were performed using R software and cytoHubba of Cytoscape. Protein-protein interaction (PPI) networks were constructed using the STRING tool and visualized using Cytoscape. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) enrichment analyses were effectively performed using DAVID platforms. In addition, the NetworkAnalyst platform was used to explore and visualize the miRNA-hub gene network, TF-hub gene network, hub gene-disease network, and hub gene-drug/chemical network.
    Results: A total of 110 DEGs and 6 hub genes (ADIPOQ, IL6, PPARG, CEBPA, LPL, and LIPE) were identified in this study. These genes were primarily enriched in the PPAR, AMPK, and adipocytokine, non-alcoholic fatty liver disease, and signaling pathways related to glycerol metabolism. Moreover, 96 miRNAs and 97 TFs were identified to as being associated with recurrent POP. These genes were closely linked to adipocyte metabolism and distribution, energy metabolism, and the longevity regulatory pathway. In addition, 192 diseases or chronic complications were potentially related to the recurrence of POP, including diabetes, hypertension, obesity, inflammatory diseases, and chronic obstructive pulmonary disease. Furthermore, 954 drugs or compounds were shown to have therapeutic potential for recurrent POP, and the most critical target drugs were dexamethasone, bisphenol A, efavirenz, 1-methyl-3-isobutylxanthine, and estradiol.
    Conclusions: The results of this study revealed that ADIPOQ, IL6, PPARG, CEBPA, LPL, and LIPE as potential hub genes associated with recurrent POP, and these hub genes may aid in the understanding of the mechanism underlying POP recurrence and the development of potential molecular drugs.
    Language English
    Publishing date 2023-08-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e19440
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: MMP12 is a Potential Predictive and Prognostic Biomarker of Various Cancers Including Lung Adenocarcinoma.

    Li, Guo-Sheng / Tang, Yu-Xing / Zhang, Wei / Li, Jian-Di / Huang, He-Qing / Liu, Jun / Fu, Zong-Wang / He, Rong-Quan / Kong, Jin-Liang / Zhou, Hua-Fu / Chen, Gang

    Cancer control : journal of the Moffitt Cancer Center

    2024  Volume 31, Page(s) 10732748241235468

    Abstract: Objective: This study sought to explore the clinical value of matrix metalloproteinases 12 (: Methods: Using >10,000 samples, this retrospective study demonstrated the first pan-cancer analysis of : Results: MMP12: Conclusions: ... ...

    Abstract Objective: This study sought to explore the clinical value of matrix metalloproteinases 12 (
    Methods: Using >10,000 samples, this retrospective study demonstrated the first pan-cancer analysis of
    Results: MMP12
    Conclusions: MMP12
    MeSH term(s) Humans ; Female ; Matrix Metalloproteinase 12/genetics ; Adenocarcinoma/diagnosis ; Adenocarcinoma/genetics ; Prognosis ; Retrospective Studies ; Colonic Neoplasms ; Adenocarcinoma of Lung/genetics ; Breast Neoplasms ; RNA, Messenger/genetics ; Lung Neoplasms/genetics
    Chemical Substances Matrix Metalloproteinase 12 (EC 3.4.24.65) ; RNA, Messenger ; MMP12 protein, human (EC 3.4.24.65)
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1328503-8
    ISSN 1526-2359 ; 1073-2748
    ISSN (online) 1526-2359
    ISSN 1073-2748
    DOI 10.1177/10732748241235468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Clinical significance and prospective mechanism of increased CDKN2A expression in small cell lung cancer.

    Li, Dong-Ming / Li, Guo-Sheng / Li, Jian-Di / Chen, Feng / Huang, Hong / Huang, Wan-Ying / Huang, Zhi-Guang / Dang, Yi-Wu / Tang, Yu-Lu / Tang, Zhong-Qing / Tang, Wen-Jia / Chen, Gang / Lu, Hui-Ping

    Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico

    2024  

    Abstract: Background: Although it has been shown that cyclin dependent kinase inhibitor 2A (CDKN2A) plays a significant role in a number of malignancies, its clinicopathological value and function in small cell lung cancer (SCLC) is unclear and warrants ... ...

    Abstract Background: Although it has been shown that cyclin dependent kinase inhibitor 2A (CDKN2A) plays a significant role in a number of malignancies, its clinicopathological value and function in small cell lung cancer (SCLC) is unclear and warrants additional research.
    Methods: The clinical significance of CDKN2A expression in SCLC was examined by multiple methods, including comprehensive integration of mRNA level by high throughput data, Kaplan-Meier survival analysis for prognostic value, and validation of its protein expression using in-house immunohistochemistry.
    Results: The expression of CDKN2A mRNA in 357 cases of SCLC was evidently higher than that in the control group (n = 525) combing the data from 20 research centers worldwide. The standardized mean difference (SMD) was 3.07, and the area under the curve (AUC) of summary receiver operating characteristic curve (sROC) was 0.97 for the overexpression of CDKN2A. ACC, COAD, KICH, KIRC, PCPG, PRAD, UCEC, UVM patients with higher CDKN2A expression had considerably worse overall survival rates than those with lower CDKN2A expression with the hazard ratio (HR) > 1.
    Conclusion: CDKN2A upregulation extensively enhances the carcinogenesis and progression of SCLC.
    Language English
    Publishing date 2024-01-11
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2397359-6
    ISSN 1699-3055 ; 1699-048X
    ISSN (online) 1699-3055
    ISSN 1699-048X
    DOI 10.1007/s12094-023-03376-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A novel prognostic signature of coagulation-related genes leveraged by machine learning algorithms for lung squamous cell carcinoma.

    Li, Guo-Sheng / He, Rong-Quan / Huang, Zhi-Guang / Huang, Hong / Yang, Zhen / Liu, Jun / Fu, Zong-Wang / Huang, Wan-Ying / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27595

    Abstract: Coagulation-related genes (CRGs) have been demonstrated to be essential for the development of certain tumors; however, little is known about CRGs in lung squamous cell carcinoma (LUSC). In this study, we adopted CRGs to construct a coagulation-related ... ...

    Abstract Coagulation-related genes (CRGs) have been demonstrated to be essential for the development of certain tumors; however, little is known about CRGs in lung squamous cell carcinoma (LUSC). In this study, we adopted CRGs to construct a coagulation-related gene prognostic signature (CRGPS) using machine learning algorithms. Using a set of 92 machine learning integrated algorithms, the CRGPS was determined to be the optimal prognostic signature (median C-index = 0.600) for predicting the prognosis of an LUSC patient. The CRGPS was not only superior to traditional clinical parameters (e.g., T stage, age, and gender) and its commutative genes but also outperformed 19 preexisting prognostic signatures for LUSC on predictive accuracy. The CRGPS score was positively correlated with poor prognoses in patients with LUSC (hazard ratio > 1,
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27595
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

    Fang, Chia-Ying / Tsai, Jia-Ling / Li, Guo-Sheng / Lien, Angela Shin-Yu / Chang, Ya-Ju

    BioMed research international

    2020  Volume 2020, Page(s) 2102785

    Abstract: Background: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI). : Results: A total of 225 studies were identified. Eighteen studies (7 RCTs and 11 non-RCTs) including 301 ... ...

    Abstract Background: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI).
    Results: A total of 225 studies were identified. Eighteen studies (7 RCTs and 11 non-RCTs) including 301 subjects met inclusion criteria. The outcome measure of spasticity significantly improved in favor of RAGT group in non-RCTs (AS: 95%CI = -0.202 to -0.068,
    Conclusions: RAGT can improve spasticity and walking ability in people with SCI. The probable reason for no significant change in pain after RAGT is floor effect. RAGT is beneficial for normalizing muscle tone and for improving lower extremity function in people with SCI without causing extra pain.
    MeSH term(s) Gait/physiology ; Humans ; Lower Extremity/physiology ; Muscle Spasticity/rehabilitation ; Muscle Strength ; Non-Randomized Controlled Trials as Topic ; Outcome Assessment, Health Care ; Pain/rehabilitation ; Randomized Controlled Trials as Topic ; Robotics ; Spinal Cord Injuries/rehabilitation ; Walking
    Language English
    Publishing date 2020-03-21
    Publishing country United States
    Document type Journal Article ; Meta-Analysis ; Review
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2020/2102785
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: CEP55: an immune-related predictive and prognostic molecular biomarker for multiple cancers.

    Li, Guo-Sheng / Zhang, Wei / Huang, Wan-Ying / He, Rong-Quan / Huang, Zhi-Guang / Gan, Xiang-Yu / Yang, Zhen / Dang, Yi-Wu / Kong, Jin-Liang / Zhou, Hua-Fu / Chen, Gang

    BMC pulmonary medicine

    2023  Volume 23, Issue 1, Page(s) 166

    Abstract: Background: Centrosomal protein 55 (CEP55) plays a significant role in specific cancers. However, comprehensive research on CEP55 is lacking in pan-cancer.: Methods: In-house and multi-center samples (n = 15,823) were used to analyze CEP55 in 33 ... ...

    Abstract Background: Centrosomal protein 55 (CEP55) plays a significant role in specific cancers. However, comprehensive research on CEP55 is lacking in pan-cancer.
    Methods: In-house and multi-center samples (n = 15,823) were used to analyze CEP55 in 33 cancers. The variance of CEP55 expression levels among tumor and control groups was evaluated by the Wilcoxon rank-sum test and standardized mean difference (SMD). The clinical value of CEP55 in cancers was assessed using receiver operating characteristic (ROC) curves, Cox regression analysis, and Kaplan-Meier curves. The correlations between CEP55 expression and the immune microenvironment were explored using Spearman's correlation coefficient.
    Results: The data of clustered regularly interspaced short palindromic repeats confirmed that CEP55 was essential for the survival of cancer cells in multiple cancer types. Elevated CEP55 mRNA expression was observed in 20 cancers, including glioblastoma multiforme (p < 0.05). CEP55 mRNA expression made it feasible to distinguish 21 cancer types between cancer specimens and their control samples (AUC = 0.97), indicating the potential of CEP55 for predicting cancer status. Overexpression of CEP55 was correlated with the prognosis of cancer individuals for 18 cancer types, exhibiting its prognostic value. CEP55 expression was relevant to tumor mutation burden, microsatellite instability, neoantigen counts, and the immune microenvironment in various cancers (p < 0.05). The expression level and clinical relevance of CEP55 in cancers were verified in lung squamous cell carcinoma using in-house and multi-center samples (SMD = 4.07; AUC > 0.95; p < 0.05).
    Conclusion: CEP55 may be an immune-related predictive and prognostic marker for multiple cancers, including lung squamous cell carcinoma.
    MeSH term(s) Humans ; Prognosis ; Carcinoma, Squamous Cell/genetics ; Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; RNA, Messenger/genetics ; Tumor Microenvironment/genetics ; Cell Cycle Proteins/genetics ; Cell Cycle Proteins/metabolism
    Chemical Substances Biomarkers, Tumor ; RNA, Messenger ; Cep55 protein, human ; Cell Cycle Proteins
    Language English
    Publishing date 2023-05-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2059871-3
    ISSN 1471-2466 ; 1471-2466
    ISSN (online) 1471-2466
    ISSN 1471-2466
    DOI 10.1186/s12890-023-02452-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Identification through machine learning of potential immune- related gene biomarkers associated with immune cell infiltration in myocardial infarction.

    Dong, Hao / Yan, Shi-Bai / Li, Guo-Sheng / Huang, Zhi-Guang / Li, Dong-Ming / Tang, Yu-Lu / Le, Jia-Qian / Pan, Yan-Fang / Yang, Zhen / Pan, Hong-Bo / Chen, Gang / Li, Ming-Jie

    BMC cardiovascular disorders

    2023  Volume 23, Issue 1, Page(s) 163

    Abstract: Background: To investigate the potential role of immune-related genes (IRGs) and immune cells in myocardial infarction (MI) and establish a nomogram model for diagnosing myocardial infarction.: Methods: Raw and processed gene expression profiling ... ...

    Abstract Background: To investigate the potential role of immune-related genes (IRGs) and immune cells in myocardial infarction (MI) and establish a nomogram model for diagnosing myocardial infarction.
    Methods: Raw and processed gene expression profiling datasets were archived from the Gene Expression Omnibus (GEO) database. Differentially expressed immune-related genes (DIRGs), which were screened out by four machine learning algorithms-partial least squares (PLS), random forest model (RF), k-nearest neighbor (KNN), and support vector machine model (SVM) were used in the diagnosis of MI.
    Results: The six key DIRGs (PTGER2, LGR6, IL17B, IL13RA1, CCL4, and ADM) were identified by the intersection of the minimal root mean square error (RMSE) of four machine learning algorithms, which were screened out to establish the nomogram model to predict the incidence of MI by using the rms package. The nomogram model exhibited the highest predictive accuracy and better potential clinical utility. The relative distribution of 22 types of immune cells was evaluated using cell type identification, which was done by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm. The distribution of four types of immune cells, such as plasma cells, T cells follicular helper, Mast cells resting, and neutrophils, was significantly upregulated in MI, while five types of immune cell dispersion, T cells CD4 naive, macrophages M1, macrophages M2, dendritic cells resting, and mast cells activated in MI patients, were significantly downregulated in MI.
    Conclusion: This study demonstrated that IRGs were correlated with MI, suggesting that immune cells may be potential therapeutic targets of immunotherapy in MI.
    MeSH term(s) Humans ; Algorithms ; Cluster Analysis ; Databases, Factual ; Gene Expression Profiling ; Machine Learning ; Biomarkers
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-03-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2059859-2
    ISSN 1471-2261 ; 1471-2261
    ISSN (online) 1471-2261
    ISSN 1471-2261
    DOI 10.1186/s12872-023-03196-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods.

    Gao, Li / Li, Guo-Sheng / Li, Jian-Di / He, Juan / Zhang, Yu / Zhou, Hua-Fu / Kong, Jin-Liang / Chen, Gang

    Computational and structural biotechnology journal

    2021  Volume 19, Page(s) 6229–6239

    Abstract: Introduction: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the ... ...

    Abstract Introduction: The risk of infection with COVID-19 is high in lung adenocarcinoma (LUAD) patients, and there is a dearth of studies on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.
    Objectives: To fill the research void on the molecular mechanism underlying the high susceptibility of LUAD patients to COVID-19 from the perspective of the global differential expression landscape.
    Methods: Herein, we identified genes, specifically the differentially expressed genes (DEGs), correlated with the susceptibility of LUAD patients to COVID-19. These were obtained by calculating standard mean deviation (SMD) values for 49 SARS-CoV-2-infected LUAD samples and 24 non-affected LUAD samples, as well as 3931 LUAD samples and 3027 non-cancer lung samples from 40 pooled RNA-seq and microarray datasets. Hub susceptibility genes significantly related to COVID-19 were further selected by weighted gene co-expression network analysis. Then, the hub genes were further analyzed via an examination of their clinical significance in multiple datasets, a correlation analysis of the immune cell infiltration level, and their interactions with the interactome sets of the A549 cell line.
    Results: A total of 257 susceptibility genes were identified, and these genes were associated with RNA splicing, mitochondrial functions, and proteasomes. Ten genes, MEA1, MRPL24, PPIH, EBNA1BP2, MRTO4, RABEPK, TRMT112, PFDN2, PFDN6, and NDUFS3, were confirmed to be the hub susceptibility genes for COVID-19 in LUAD patients, and the hub susceptibility genes were significantly correlated with the infiltration of multiple immune cells.
    Conclusion: In conclusion, the susceptibility genes for COVID-19 in LUAD patients discovered in this study may increase our understanding of the high risk of COVID-19 in LUAD patients.
    Language English
    Publishing date 2021-11-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2694435-2
    ISSN 2001-0370
    ISSN 2001-0370
    DOI 10.1016/j.csbj.2021.11.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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