BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 25435164)

  • 1. Gene co-expression network and function modules in three types of glioma.
    Li G; Pan W; Yang X; Miao J
    Mol Med Rep; 2015 Apr; 11(4):3055-63. PubMed ID: 25435164
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Revealing the potential pathogenesis of glioma by utilizing a glioma associated protein-protein interaction network.
    Pan W; Li G; Yang X; Miao J
    Pathol Oncol Res; 2015 Apr; 21(2):455-62. PubMed ID: 25410026
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Screening critical genes associated with malignant glioma using bioinformatics analysis.
    Xu Y; Wang J; Xu Y; Xiao H; Li J; Wang Z
    Mol Med Rep; 2017 Nov; 16(5):6580-6589. PubMed ID: 28901452
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of differentially expressed genes regulated by transcription factors in glioblastomas by bioinformatics analysis.
    Wei B; Wang L; Du C; Hu G; Wang L; Jin Y; Kong D
    Mol Med Rep; 2015 Apr; 11(4):2548-54. PubMed ID: 25514975
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Coexpression network analysis identifies transcriptional modules related to proastrocytic differentiation and sprouty signaling in glioma.
    Ivliev AE; 't Hoen PA; Sergeeva MG
    Cancer Res; 2010 Dec; 70(24):10060-70. PubMed ID: 21159630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatical analysis of gene expression signatures of different glioma subtypes.
    Wang R; Wei J; Li Z; Tian Y; Du C
    Oncol Lett; 2018 Mar; 15(3):2807-2814. PubMed ID: 29435008
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Screening genes crucial for pediatric pilocytic astrocytoma using weighted gene coexpression network analysis combined with methylation data analysis.
    Zhao H; Cai W; Su S; Zhi D; Lu J; Liu S
    Cancer Gene Ther; 2014 Oct; 21(10):448-55. PubMed ID: 25257306
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Co-expression network analysis of differentially expressed genes associated with metastasis in prolactin pituitary tumors.
    Zhang W; Zang Z; Song Y; Yang H; Yin Q
    Mol Med Rep; 2014 Jul; 10(1):113-8. PubMed ID: 24736764
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Regulatory network of differentially expressed genes in metastatic osteosarcoma.
    Yao P; Wang ZB; Ding YY; Ma JM; Hong T; Pan SN; Zhang J
    Mol Med Rep; 2015 Mar; 11(3):2104-10. PubMed ID: 25434727
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening of differentially expressed genes associated with human glioblastoma and functional analysis using a DNA microarray.
    Wang L; Wei B; Hu G; Wang L; Bi M; Sun Z; Jin Y
    Mol Med Rep; 2015 Aug; 12(2):1991-6. PubMed ID: 25901754
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
    Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
    Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein-protein interaction network analysis and gene set enrichment analysis in epilepsy patients with brain cancer.
    Kong B; Yang T; Chen L; Kuang YQ; Gu JW; Xia X; Cheng L; Zhang JH
    J Clin Neurosci; 2014 Feb; 21(2):316-9. PubMed ID: 24239228
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Candidate genes and microRNAs for glioma pathogenesis and prognosis based on gene expression profiles.
    Xie C; Xu M; Lu D; Zhang W; Wang L; Wang H; Li J; Ren F; Wang C
    Mol Med Rep; 2018 Sep; 18(3):2715-2723. PubMed ID: 30015885
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrated analysis of DNA methylation profiles and gene expression profiles to identify genes associated with pilocytic astrocytomas.
    Zhou R; Man Y
    Mol Med Rep; 2016 Apr; 13(4):3491-7. PubMed ID: 26934913
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Microarray data analysis to identify crucial genes regulated by CEBPB in human SNB19 glioma cells.
    Du C; Pan P; Jiang Y; Zhang Q; Bao J; Liu C
    World J Surg Oncol; 2016 Oct; 14(1):258. PubMed ID: 27716259
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of candidate target genes for human peripheral arterial disease using weighted gene co‑expression network analysis.
    Yin DX; Zhao HM; Sun DJ; Yao J; Ding DY
    Mol Med Rep; 2015 Dec; 12(6):8107-12. PubMed ID: 26498853
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
    Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
    Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Expression analysis of the estrogen receptor target genes in renal cell carcinoma.
    Liu Z; Lu Y; He Z; Chen L; Lu Y
    Mol Med Rep; 2015 Jan; 11(1):75-82. PubMed ID: 25351113
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ossification of the posterior longitudinal ligament related genes identification using microarray gene expression profiling and bioinformatics analysis.
    He H; Mao L; Xu P; Xi Y; Xu N; Xue M; Yu J; Ye X
    Gene; 2014 Jan; 533(2):515-9. PubMed ID: 24055420
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.