BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

574 related articles for article (PubMed ID: 32772341)

  • 21. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
    Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
    PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.
    Wu R; Long L; Zhou Q; Su J; Su W; Zhu J
    J Orthop Surg Res; 2021 Jul; 16(1):458. PubMed ID: 34271942
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
    Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
    Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
    Li D; Yin Y; He M; Wang J
    Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
    Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
    Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
    Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
    J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
    Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
    World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
    Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
    J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
    Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
    BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
    Qiu J; Sun M; Wang Y; Chen B
    Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of Potential Hub Genes and Therapeutic Drugs in Malignant Pleural Mesothelioma by Integrated Bioinformatics Analysis.
    Zhang X; Yang L; Chen W; Kong M
    Oncol Res Treat; 2020; 43(12):656-671. PubMed ID: 33032291
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Bioinformatics analysis of key biomarkers and pathways in KSHV infected endothelial cells.
    Gong HB; Wu XJ; Pu XM; Kang XJ
    Medicine (Baltimore); 2019 Jul; 98(27):e16277. PubMed ID: 31277155
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
    Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
    Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 29.