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Journal Abstract Search

510 related items for PubMed ID: 32519739

  • 1. KRT8 and KRT19, associated with EMT, are hypomethylated and overexpressed in lung adenocarcinoma and link to unfavorable prognosis.
    Wang W, He J, Lu H, Kong Q, Lin S.
    Biosci Rep; 2020 Jul 31; 40(7):. PubMed ID: 32519739
    [Abstract] [Full Text] [Related]

  • 2. 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 Jul 31; 17(16):2427-2439. PubMed ID: 33029085
    [Abstract] [Full Text] [Related]

  • 3. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y, Tian X.
    Medicine (Baltimore); 2020 May 31; 99(19):e20183. PubMed ID: 32384511
    [Abstract] [Full Text] [Related]

  • 4. High KRT8 Expression Independently Predicts Poor Prognosis for Lung Adenocarcinoma Patients.
    Xie L, Dang Y, Guo J, Sun X, Xie T, Zhang L, Yan Z, Amin H, Guo X.
    Genes (Basel); 2019 Jan 10; 10(1):. PubMed ID: 30634629
    [Abstract] [Full Text] [Related]

  • 5. High Expression of UBB, RAC1, and ITGB1 Predicts Worse Prognosis among Nonsmoking Patients with Lung Adenocarcinoma through Bioinformatics Analysis.
    Deng H, Huang Y, Wang L, Chen M.
    Biomed Res Int; 2020 Jan 10; 2020():2071593. PubMed ID: 33134373
    [Abstract] [Full Text] [Related]

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  • 7. 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; 20(1):782. PubMed ID: 32819300
    [Abstract] [Full Text] [Related]

  • 8. 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 12; 27():e929333. PubMed ID: 33979320
    [Abstract] [Full Text] [Related]

  • 9. Increased expression of TTC21A in lung adenocarcinoma infers favorable prognosis and high immune infiltrating level.
    Wang W, Ren S, Wang Z, Zhang C, Huang J.
    Int Immunopharmacol; 2020 Jan 12; 78():106077. PubMed ID: 31812070
    [Abstract] [Full Text] [Related]

  • 10. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
    Liu J, Yang X, Zhang L, Yang B, Rao W, Li M, Dai N, Yang Y, Qian C, Zhang L, Xiao H, Wang D.
    J Cancer Res Clin Oncol; 2020 Sep 12; 146(9):2299-2310. PubMed ID: 32556504
    [Abstract] [Full Text] [Related]

  • 11. Prognostic value and immune infiltration of a novel stromal/immune score-related P2RY12 in lung adenocarcinoma microenvironment.
    Yu L, Cao S, Li J, Han B, Zhong H, Zhong R.
    Int Immunopharmacol; 2021 Sep 12; 98():107734. PubMed ID: 34175738
    [Abstract] [Full Text] [Related]

  • 12. Elevated PHD2 expression might serve as a valuable biomarker of poor prognosis in lung adenocarcinoma, but no lung squamous cell carcinoma.
    Xu XL, Gong Y, Zhao DP.
    Eur Rev Med Pharmacol Sci; 2018 Dec 12; 22(24):8731-8739. PubMed ID: 30575913
    [Abstract] [Full Text] [Related]

  • 13. Identification of a novel therapeutic candidate, NRK, in primary cancer-associated fibroblasts of lung adenocarcinoma microenvironment.
    Wei T, Song J, Liang K, Li L, Mo X, Huang Z, Chen G, Mao N, Yang J.
    J Cancer Res Clin Oncol; 2021 Apr 12; 147(4):1049-1064. PubMed ID: 33387038
    [Abstract] [Full Text] [Related]

  • 14. 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 25; 41(6):. PubMed ID: 34017995
    [Abstract] [Full Text] [Related]

  • 15. Identification of CAV1 and DCN as potential predictive biomarkers for lung adenocarcinoma.
    Yan Y, Xu Z, Qian L, Zeng S, Zhou Y, Chen X, Wei J, Gong Z.
    Am J Physiol Lung Cell Mol Physiol; 2019 Apr 01; 316(4):L630-L643. PubMed ID: 30604627
    [Abstract] [Full Text] [Related]

  • 16. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
    Ni KW, Sun GZ.
    Math Biosci Eng; 2019 Aug 21; 16(6):7671-7687. PubMed ID: 31698633
    [Abstract] [Full Text] [Related]

  • 17. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
    Li J, Liu X, Cui Z, Han G.
    Med Sci Monit; 2020 Jun 24; 26():e922070. PubMed ID: 32578582
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  • 19. Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.
    Zheng Q, Wang Z, Zhang M, Yu Y, Chen R, Lu T, Liu L, Ma J, Liu T, Zheng H, Li H, Li J.
    BMC Cancer; 2021 Nov 13; 21(1):1216. PubMed ID: 34774014
    [Abstract] [Full Text] [Related]

  • 20. Identification of hub driving genes and regulators of lung adenocarcinoma based on the gene Co-expression network.
    Xu Z, Wu Z, Xu J, Zhang J, Yu B.
    Biosci Rep; 2020 Apr 30; 40(4):. PubMed ID: 32196072
    [Abstract] [Full Text] [Related]

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