These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 33879658)

  • 1. Varied clinical significance of ATP-binding cassette C sub-family members for lung adenocarcinoma.
    Zhang L; Huang P; Huang C; Jiang L; Lu Z; Wang P
    Medicine (Baltimore); 2021 Apr; 100(16):e25246. PubMed ID: 33879658
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Construction and Validation of Prognostic Risk Score Model of Autophagy Related Genes in Lung Adenocarcinoma].
    Zhou J; Wang X; Li Z; Jiang R
    Zhongguo Fei Ai Za Zhi; 2021 Aug; 24(8):557-566. PubMed ID: 34256900
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma.
    Zhang S; Lu Y; Liu Z; Li X; Wang Z; Cai Z
    J Comput Biol; 2020 Oct; 27(10):1532-1543. PubMed ID: 32298601
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
    Jiang H; Xu S; Chen C
    BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genome-wide analysis of methylation CpG sites in gene promoters identified four pairs of CpGs-mRNAs associated with lung adenocarcinoma prognosis.
    Pan X; Ji P; Deng X; Chen L; Wang W; Li Z
    Gene; 2022 Feb; 810():146054. PubMed ID: 34737001
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma.
    Zhang L; Zhu G; Wang X; Liao X; Huang R; Huang C; Huang P; Zhang J; Wang P
    Oncol Rep; 2019 Sep; 42(3):1017-1034. PubMed ID: 31322267
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prognostic significance and molecular mechanisms of adenosine triphosphate-binding cassette subfamily C members in gastric cancer.
    Mao X; He Z; Zhou F; Huang Y; Zhu G
    Medicine (Baltimore); 2019 Dec; 98(50):e18347. PubMed ID: 31852133
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A ferroptosis-related gene signature predicts overall survival in patients with lung adenocarcinoma.
    Gao X; Tang M; Tian S; Li J; Liu W
    Future Oncol; 2021 Apr; 17(12):1533-1544. PubMed ID: 33432837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Potential Prognostic Biomarkers of Lung Adenocarcinoma Based on Bioinformatic Analysis.
    Hou J; Yao C
    Biomed Res Int; 2021; 2021():8859996. PubMed ID: 33511215
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma.
    Zhai Y; Zhao B; Wang Y; Li L; Li J; Li X; Chang L; Chen Q; Liao Z
    BMC Cancer; 2021 Mar; 21(1):213. PubMed ID: 33648465
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Substrates and inhibitors of human multidrug resistance associated proteins and the implications in drug development.
    Zhou SF; Wang LL; Di YM; Xue CC; Duan W; Li CG; Li Y
    Curr Med Chem; 2008; 15(20):1981-2039. PubMed ID: 18691054
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Seven-Gene Signature with Close Immune Correlation Was Identified for Survival Prediction of Lung Adenocarcinoma.
    Zou X; Hu Z; Huang C; Chang J
    Med Sci Monit; 2020 Jul; 26():e924269. PubMed ID: 32613949
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
    Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
    BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring exosome data to identify prognostic gene signatures for lung adenocarcinoma.
    Li J; Gao X; Tian S; Tang M; Liu W
    Future Oncol; 2021 Dec; 17(34):4745-4756. PubMed ID: 34658257
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genome-wide analysis of the hypoxia-related DNA methylation-driven genes in lung adenocarcinoma progression.
    Li H; Tong L; Tao H; Liu Z
    Biosci Rep; 2020 Feb; 40(2):. PubMed ID: 32031203
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Establishment and validation of an immune-associated signature in lung adenocarcinoma.
    Wang Z; Chen X
    Int Immunopharmacol; 2020 Nov; 88():106867. PubMed ID: 32799112
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A gene-based survival score for lung adenocarcinoma by multiple transcriptional datasets analysis.
    Xiong Y; Lei J; Zhao J; Lu Q; Feng Y; Qiao T; Xin S; Han Y; Jiang T
    BMC Cancer; 2020 Oct; 20(1):1046. PubMed ID: 33129284
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.