BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 37986325)

  • 1. Identification of LGR4 as a prognostic biomarker in KRAS-mutant lung adenocarcinoma: Evidence from integrated bioinformatics analysis.
    Dodin Y
    Medicine (Baltimore); 2023 Nov; 102(46):e36084. PubMed ID: 37986325
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Weighted gene coexpression network analysis identifies hub genes related to KRAS mutant lung adenocarcinoma.
    Dai D; Shi R; Han S; Jin H; Wang X
    Medicine (Baltimore); 2020 Aug; 99(32):e21478. PubMed ID: 32769881
    [TBL] [Abstract][Full Text] [Related]  

  • 3. RANKL acts an unfavorable prognostic biomarker and potential target in advanced KRAS-mutated lung adenocarcinoma.
    Li HS; Liu CM; Wang Y
    Thorac Cancer; 2023 May; 14(15):1368-1382. PubMed ID: 37021520
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of CDT1 as a prognostic marker in human lung adenocarcinoma using bioinformatics approaches.
    Jiang J; Zhang Y; Wang J; Yang X; Ren X; Huang H; Wang J; Lu J; Zhong Y; Lin Z; Lin X; Jia Y; Lin S
    PeerJ; 2023; 11():e16166. PubMed ID: 37790630
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effects of different KRAS mutants and Ki67 expression on diagnosis and prognosis in lung adenocarcinoma.
    Wang J; Dong L; Zheng Z; Zhu Z; Xie B; Xie Y; Li X; Chen B; Li P
    Sci Rep; 2024 Feb; 14(1):4085. PubMed ID: 38374309
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High Expression of
    Deng H; Huang Y; Wang L; Chen M
    Biomed Res Int; 2020; 2020():2071593. PubMed ID: 33134373
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Hub Genes of Lung Adenocarcinoma Based on Weighted Gene Co-Expression Network in Chinese Population.
    Xie Y; Wu H; Hu W; Zhang H; Li A; Zhang Z; Ren S; Zhang X
    Pathol Oncol Res; 2022; 28():1610455. PubMed ID: 36032660
    [No Abstract]   [Full Text] [Related]  

  • 8. Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma.
    Liu X; Li L; Xie X; Zhuang D; Hu C
    Technol Health Care; 2023; 31(2):579-592. PubMed ID: 36336945
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases.
    Zheng Q; Min S; Zhou Q
    Biosci Rep; 2021 Jun; 41(6):. PubMed ID: 34017995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatic analysis revealing mitotic spindle assembly regulated NDC80 and MAD2L1 as prognostic biomarkers in non-small cell lung cancer development.
    Wei R; Wang Z; Zhang Y; Wang B; Shen N; E L; Li X; Shang L; Shang Y; Yan W; Zhang X; Ma W; Wang C
    BMC Med Genomics; 2020 Aug; 13(1):112. PubMed ID: 32795325
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.
    Wang H; Wang X; Xu L; Cao H; Zhang J
    Cancer Med; 2021 Dec; 10(24):9058-9077. PubMed ID: 34734491
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma.
    Wang Z; Li X; Chen H; Han L; Ji X; Wang Q; Wei L; Miao Y; Wang J; Mao J; Zhang Z
    Med Sci Monit; 2021 May; 27():e929333. PubMed ID: 33979320
    [TBL] [Abstract][Full Text] [Related]  

  • 13. EZH2 as a prognostic-related biomarker in lung adenocarcinoma correlating with cell cycle and immune infiltrates.
    Fan K; Zhang BH; Han D; Sun YC
    BMC Bioinformatics; 2023 Apr; 24(1):149. PubMed ID: 37069494
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic Value of BIRC5 in Lung Adenocarcinoma Lacking EGFR, KRAS, and ALK Mutations by Integrated Bioinformatics Analysis.
    Cao Y; Zhu W; Chen W; Wu J; Hou G; Li Y
    Dis Markers; 2019; 2019():5451290. PubMed ID: 31093306
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An integrated analysis of prognostic and immune infiltrates for hub genes as potential survival indicators in patients with lung adenocarcinoma.
    Xu Z; Wang S; Ren Z; Gao X; Xu L; Zhang S; Ren B
    World J Surg Oncol; 2022 Mar; 20(1):99. PubMed ID: 35354488
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y; Tian X
    Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
    Ni KW; Sun GZ
    Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Characterization of Infiltrating Immune Cells and Secretory or Membrane-Associated Proteins in KRAS Lung Adenocarcinoma.
    Bian Y; Bi G; Shan G; Liang J; Sui Q; Hu Z; Wang Q; Zhang Y; Fan H
    J Immunol Res; 2023; 2023():4987832. PubMed ID: 36793588
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Investigation of Potential Mechanisms Associated with Non-small Cell Lung Cancer.
    Shi Y; Zhu S; Yang J; Shao M; Ding W; Jiang W; Sun X; Yao N
    J Comput Biol; 2020 Sep; 27(9):1433-1442. PubMed ID: 32048869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
    Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
    Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.