BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 37839544)

  • 1. Identification of important genes associated with acute myocardial infarction using multiple cell death patterns.
    Sun Y; Zhong N; Zhu X; Fan Q; Li K; Chen Y; Wan X; He Q; Xu Y
    Cell Signal; 2023 Dec; 112():110921. PubMed ID: 37839544
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key programmed cell death-related genes and immune infiltration in extracorporeal membrane oxygenation treatment for acute myocardial infarction based on bioinformatics analysis.
    Yang J; Ouyang X; Yang M; Xie G; Cao Q
    Front Cardiovasc Med; 2022; 9():1018662. PubMed ID: 36531699
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated Bioinformatics-Based Analysis of Hub Genes and the Mechanism of Immune Infiltration Associated With Acute Myocardial Infarction.
    Wu Y; Jiang T; Hua J; Xiong Z; Chen H; Li L; Peng J; Xiong W
    Front Cardiovasc Med; 2022; 9():831605. PubMed ID: 35463752
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of immune-related genes in acute myocardial infarction based on integrated bioinformatical methods and experimental verification.
    Liu J; Chen L; Zheng X; Guo C
    PeerJ; 2023; 11():e15058. PubMed ID: 37214088
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Thrombomodulin as a potential diagnostic marker of acute myocardial infarction and correlation with immune infiltration: Comprehensive analysis based on multiple machine learning.
    Liu G; Huang L; Lv X; Guan Y; Li L
    Transpl Immunol; 2024 Jun; 85():102070. PubMed ID: 38839020
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of potential biomarkers and immune-related pathways related to immune infiltration in patients with acute myocardial infarction.
    Lin Z; Xu H; Chen Y; Zhang X; Yang J
    Transpl Immunol; 2022 Oct; 74():101652. PubMed ID: 35764238
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ACSL1, CH25H, GPCPD1, and PLA2G12A as the potential lipid-related diagnostic biomarkers of acute myocardial infarction.
    Liu ZY; Liu F; Cao Y; Peng SL; Pan HW; Hong XQ; Zheng PF
    Aging (Albany NY); 2023 Feb; 15(5):1394-1411. PubMed ID: 36863716
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification and Characterization of Necroptosis-Related Differentially Expressed Genes in Acute Myocardial Infarction: Insights into Immune-Related Pathways and Protein-Protein Interactions.
    Zha Y; Zhu T; Li T
    Cell Mol Biol (Noisy-le-grand); 2023 May; 69(5):192-196. PubMed ID: 37571880
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
    Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort.
    Zheng PF; Zou QC; Chen LZ; Liu P; Liu ZY; Pan HW
    J Transl Med; 2022 Jul; 20(1):321. PubMed ID: 35864510
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses.
    Du Y; Zhao E; Zhang Y
    Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32597946
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction.
    Zhao E; Xie H; Zhang Y
    Front Cardiovasc Med; 2020; 7():586871. PubMed ID: 33195475
    [No Abstract]   [Full Text] [Related]  

  • 13. Identification of Oxidative Stress-Related Biomarkers in Acute Myocardial Infarction.
    Sun Y; Wang M; Tan X; Zhang H; Yang S
    Int J Gen Med; 2023; 16():4805-4818. PubMed ID: 37908757
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Featured Metabolism-Related Genes in Patients with Acute Myocardial Infarction.
    Xie H; Zha E; Zhang Y
    Dis Markers; 2020; 2020():8880004. PubMed ID: 33354250
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Peripheral neutrophils and naive CD4 T cells predict the development of heart failure following acute myocardial infarction: A bioinformatic study.
    Yu C; Zhou W
    Rev Port Cardiol (Engl Ed); 2021 Nov; 40(11):839-847. PubMed ID: 34857156
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of biomarkers and immune infiltration in acute myocardial infarction and heart failure by integrated analysis.
    Liu W; Li Y; Zhang Y; Li S; Chen Y; Han B; Lu Y
    Biosci Rep; 2023 Jul; 43(7):. PubMed ID: 37334672
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods.
    Guo S; Wu J; Zhou W; Liu X; Liu Y; Zhang J; Jia S; Li J; Wang H
    Medicine (Baltimore); 2021 Apr; 100(15):e25553. PubMed ID: 33847684
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of molecular signatures in acute myocardial infarction based on integrative analysis of proteomics and transcriptomics.
    Wu J; Yan J; Hua Z; Jia J; Zhou Z; Zhang J; Li J; Zhang J
    Genomics; 2023 Sep; 115(5):110701. PubMed ID: 37597790
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated analysis and validation of ferroptosis-related genes and immune infiltration in acute myocardial infarction.
    Wu X; Li J; Chai S; Li C; Lu S; Bao S; Yu S; Guo H; He J; Peng Y; Sun H; Wang L
    BMC Cardiovasc Disord; 2024 Feb; 24(1):123. PubMed ID: 38402377
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction and Bioinformatics Analysis of circRNA-miRNA-mRNA Network in Acute Myocardial Infarction.
    Zhou J; He S; Wang B; Yang W; Zheng Y; Jiang S; Li D; Lin J
    Front Genet; 2022; 13():854993. PubMed ID: 35422846
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.