BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 33398330)

  • 21. 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]  

  • 22. 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]  

  • 23. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. 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; 316(4):L630-L643. PubMed ID: 30604627
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
    Liu X; Liu X; Li J; Ren F
    Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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; 29(3):399-416. PubMed ID: 32741804
    [TBL] [Abstract][Full Text] [Related]  

  • 28. AURKA Identified as Potential Lung Cancer Marker through Comprehensive Bioinformatic Analysis and Experimental Verification.
    Shi S; Qiu Y; Jin Z; Zhou J; Yu W; Zhang H
    Crit Rev Eukaryot Gene Expr; 2023; 33(5):39-59. PubMed ID: 37199313
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis.
    Liu P; Li H; Liao C; Tang Y; Li M; Wang Z; Wu Q; Zhou Y
    PeerJ; 2022; 10():e12731. PubMed ID: 35178291
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
    Dai JJ; Zhou WB; Wang B
    Medicine (Baltimore); 2020 Oct; 99(44):e23052. PubMed ID: 33126397
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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; 40(7):. PubMed ID: 32519739
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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; 147(4):1049-1064. PubMed ID: 33387038
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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; 98():107734. PubMed ID: 34175738
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis.
    Gong K; Zhou H; Liu H; Xie T; Luo Y; Guo H; Chen J; Tan Z; Yang Y; Xie L
    Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846
    [No Abstract]   [Full Text] [Related]  

  • 35. Core genes in lung adenocarcinoma identified by integrated bioinformatic analysis.
    Yang L; Yu Q; Zhu Y; Ali Mallah M; Wang W; Feng F; Zhang Q
    Int J Environ Health Res; 2023 Mar; 33(3):243-257. PubMed ID: 34961365
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of key genes associated with lung adenocarcinoma by bioinformatics analysis.
    Wang X; Yang J; Gao X
    Sci Prog; 2021; 104(1):36850421997276. PubMed ID: 33661044
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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; 21(1):1216. PubMed ID: 34774014
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.
    Guo T; Ma H; Zhou Y
    PeerJ; 2019; 7():e7313. PubMed ID: 31333911
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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; 40(4):. PubMed ID: 32196072
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.