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606 related items for PubMed ID: 34367321

  • 1. The High Expression of PTPRH Is Associated with Poor Prognosis of Human Lung Adenocarcinoma.
    Chen A, Ding S, Shen X, Lin X.
    Comput Math Methods Med; 2021; 2021():9932088. PubMed ID: 34367321
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Overexpression of Family with Sequence Similarity 83, Member A (FAM83A) Predicts Poor Clinical Outcomes in Lung Adenocarcinoma.
    Zhang JT, Lin YC, Xiao BF, Yu BT.
    Med Sci Monit; 2019 Jun 08; 25():4264-4272. PubMed ID: 31175804
    [Abstract] [Full Text] [Related]

  • 4. Protein phosphatase 1 regulatory subunit 3G (PPP1R3G) correlates with poor prognosis and immune infiltration in lung adenocarcinoma.
    Zhuo X, Chen L, Lai Z, Liu J, Li S, Hu A, Lin Y.
    Bioengineered; 2021 Dec 08; 12(1):8336-8346. PubMed ID: 34592886
    [Abstract] [Full Text] [Related]

  • 5. AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.
    Zhang S, Lu Y, Qi L, Wang H, Wang Z, Cai Z.
    Biomed Res Int; 2020 Dec 08; 2020():8571932. PubMed ID: 32904605
    [Abstract] [Full Text] [Related]

  • 6. 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 08; 27(10):1532-1543. PubMed ID: 32298601
    [Abstract] [Full Text] [Related]

  • 7. High TLX1 Expression Correlates with Poor Prognosis and Immune Infiltrates in Patients with Lung Adenocarcinoma.
    Zhao L, Zheng H, Chen F, Lu H, Yu Q, Yan X, Chen X, Zhang Q, Bu Q.
    Curr Mol Med; 2024 Oct 08; 24(6):801-812. PubMed ID: 37340746
    [Abstract] [Full Text] [Related]

  • 8. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
    Yang D, He Y, Wu B, Liu R, Wang N, Wang T, Luo Y, Li Y, Liu Y.
    Cancer Biomark; 2020 Oct 08; 29(3):399-416. PubMed ID: 32741804
    [Abstract] [Full Text] [Related]

  • 9. 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 Oct 08; 17(16):2427-2439. PubMed ID: 33029085
    [Abstract] [Full Text] [Related]

  • 10. Elevated FAM83A expression predicts poorer clincal outcome in lung adenocarcinoma.
    Zhang J, Sun G, Mei X.
    Cancer Biomark; 2019 Oct 08; 26(3):367-373. PubMed ID: 31594212
    [Abstract] [Full Text] [Related]

  • 11. 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 02; 26():e924269. PubMed ID: 32613949
    [Abstract] [Full Text] [Related]

  • 12. NPM1 Is a Prognostic Biomarker Involved in Immune Infiltration of Lung Adenocarcinoma and Associated With m6A Modification and Glycolysis.
    Liu XS, Zhou LM, Yuan LL, Gao Y, Kui XY, Liu XY, Pei ZJ.
    Front Immunol; 2021 Jul 02; 12():724741. PubMed ID: 34335635
    [Abstract] [Full Text] [Related]

  • 13. 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]

  • 14. Comprehensive analysis identifies YKT6 as a potential prognostic and diagnostic biomarker in lung adenocarcinoma.
    Zhang L, Wang S, Wang L.
    BMC Cancer; 2024 Oct 07; 24(1):1235. PubMed ID: 39375639
    [Abstract] [Full Text] [Related]

  • 15. 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 01; 21(1):213. PubMed ID: 33648465
    [Abstract] [Full Text] [Related]

  • 16. Methylation and transcriptome analysis reveal lung adenocarcinoma-specific diagnostic biomarkers.
    Li R, Yang YE, Yin YH, Zhang MY, Li H, Qu YQ.
    J Transl Med; 2019 Sep 27; 17(1):324. PubMed ID: 31558162
    [Abstract] [Full Text] [Related]

  • 17. 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 Sep 27; 2020():2071593. PubMed ID: 33134373
    [Abstract] [Full Text] [Related]

  • 18. The role of EMG1 in lung adenocarcinoma progression: Implications for prognosis and immune cell infiltration.
    Wu X, Wu Z, Xie Z, Huang H, Wang Y, Lv K, Yang H, Liu X.
    Int Immunopharmacol; 2024 Sep 10; 138():112553. PubMed ID: 38943975
    [Abstract] [Full Text] [Related]

  • 19. A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining.
    Liu J, Hou S, Wang J, Chai Z, Hong X, Zhao T, Sun Z, Bai L, Gao H, Gao J, Chen G.
    Oxid Med Cell Longev; 2020 Sep 10; 2020():8847226. PubMed ID: 33414898
    [Abstract] [Full Text] [Related]

  • 20. Bioinformatics Analysis and Experimental Study of Exonuclease 1 Gene in Lung Adenocarcinoma.
    Wang S, Cai W, Li J, An W, Zheng H, Liao M.
    Biochem Genet; 2022 Dec 10; 60(6):1934-1945. PubMed ID: 35169964
    [Abstract] [Full Text] [Related]

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