BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 30064228)

  • 1. Integrated analysis of differentially expressed genes in esophageal squamous cell carcinoma using bioinformatics.
    Dong Z; Zhang H; Zhan T; Xu S
    Neoplasma; 2018; 65(4):523-531. PubMed ID: 30064228
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Ranking candidate genes of esophageal squamous cell carcinomas based on differentially expressed genes and the topological properties of the co-expression network.
    Shen Y; Tantai J; Zhao H
    Eur J Med Res; 2014 Oct; 19(1):52. PubMed ID: 25358439
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of potential core genes in esophageal carcinoma using bioinformatics analysis.
    Yang X; Tian M; Zhang W; Chai T; Shen Z; Kang M; Lin J
    Medicine (Baltimore); 2021 Jul; 100(27):e26428. PubMed ID: 34232175
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
    Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
    Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
    Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hub Genes and Long Noncoding RNAs That Regulates It Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.
    Lu J; Li R; Fang M; Ke S
    Comput Math Methods Med; 2022; 2022():6027058. PubMed ID: 36238478
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
    He Y; Liu J; Zhao Z; Zhao H
    Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics-based analysis of the lncRNA-miRNA-mRNA and TF regulatory networks reveals functional genes in esophageal squamous cell carcinoma.
    Ye Z; Fang J; Wang Z; Wang L; Li B; Liu T; Wang Y; Hua J; Wang F; Fu Z
    Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32662828
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
    Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
    Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
    Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
    Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
    Hu J; Li R; Miao H; Wen Z
    J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LncRNA and mRNA integration network reconstruction reveals novel key regulators in esophageal squamous-cell carcinoma.
    Alaei S; Sadeghi B; Najafi A; Masoudi-Nejad A
    Genomics; 2019 Jan; 111(1):76-89. PubMed ID: 29317304
    [TBL] [Abstract][Full Text] [Related]  

  • 15. TPX2 expression is associated with cell proliferation and patient outcome in esophageal squamous cell carcinoma.
    Hsu PK; Chen HY; Yeh YC; Yen CC; Wu YC; Hsu CP; Hsu WH; Chou TY
    J Gastroenterol; 2014 Aug; 49(8):1231-40. PubMed ID: 23963785
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Data mining of esophageal squamous cell carcinoma from The Cancer Genome Atlas database].
    He SY; Wang XB; Jiao YC
    Zhonghua Zhong Liu Za Zhi; 2018 Jul; 40(7):517-522. PubMed ID: 30060360
    [No Abstract]   [Full Text] [Related]  

  • 17. Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA.
    Chen N; Zhang G; Fu J; Wu Q
    Cancer Control; 2020; 27(1):1073274820978817. PubMed ID: 33345608
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Overexpression of cyclin-dependent kinase 1 in esophageal squamous cell carcinoma and its clinical significance.
    Zhang HJ; Chen G; Chen SW; Fu ZW; Zhou HF; Feng ZB; Mo JX; Li CB; Liu J
    FEBS Open Bio; 2021 Nov; 11(11):3126-3141. PubMed ID: 34586751
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in Esophageal Squamous cell carcinoma.
    Feng Z; Qu J; Liu X; Liang J; Li Y; Jiang J; Zhang H; Tian H
    Sci Rep; 2021 Aug; 11(1):16696. PubMed ID: 34404882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.