BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

208 related articles for article (PubMed ID: 24564241)

  • 1. Analysis of schizophrenia and hepatocellular carcinoma genetic network with corresponding modularity and pathways: novel insights to the immune system.
    Huang KC; Yang KC; Lin H; Tsao Tsun-Hui T; Lee WK; Lee SA; Kao CY
    BMC Genomics; 2013; 14 Suppl 5(Suppl 5):S10. PubMed ID: 24564241
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
    Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
    Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics functional analysis of let-7a, miR-34a, and miR-199a/b reveals novel insights into immune system pathways and cancer hallmarks for hepatocellular carcinoma.
    Soliman B; Salem A; Ghazy M; Abu-Shahba N; El Hefnawi M
    Tumour Biol; 2018 May; 40(5):1010428318773675. PubMed ID: 29775159
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Construction of liver hepatocellular carcinoma-specific lncRNA-miRNA-mRNA network based on bioinformatics analysis.
    Wang R; Hu X; Liu X; Bai L; Gu J; Li Q
    PLoS One; 2021; 16(4):e0249881. PubMed ID: 33861762
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Insights into the etiology-associated gene regulatory networks in hepatocellular carcinoma from The Cancer Genome Atlas.
    Seshachalam VP; Sekar K; Hui KM
    J Gastroenterol Hepatol; 2018 Dec; 33(12):2037-2047. PubMed ID: 29672926
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Biological and clinical implications of retinoic acid-responsive genes in human hepatocellular carcinoma cells.
    Kanki K; Akechi Y; Ueda C; Tsuchiya H; Shimizu H; Ishijima N; Toriguchi K; Hatano E; Endo K; Hirooka Y; Shiota G
    J Hepatol; 2013 Nov; 59(5):1037-44. PubMed ID: 23831118
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network-Based Coexpression Analysis Identifies Functional and Prognostic Long Noncoding RNAs in Hepatocellular Carcinoma.
    Li J; Zhou J; Kai S; Wang C; Wang D; Jiang J
    Biomed Res Int; 2020; 2020():1371632. PubMed ID: 33083449
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics analysis of key genes and pathways for hepatocellular carcinoma transformed from cirrhosis.
    He B; Yin J; Gong S; Gu J; Xiao J; Shi W; Ding W; He Y
    Medicine (Baltimore); 2017 Jun; 96(25):e6938. PubMed ID: 28640074
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus.
    Li Z; Xu J; Cui H; Song J; Chen J; Wei J
    Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
    Wan Z; Zhang X; Luo Y; Zhao B
    Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
    [No Abstract]   [Full Text] [Related]  

  • 13. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
    Zhang X; Yin S; Ma K
    J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Coding and non-coding gene regulatory networks underlie the immune response in liver cirrhosis.
    Gao B; Zhang X; Huang Y; Yang Z; Zhang Y; Zhang W; Gao ZH; Xue D
    PLoS One; 2017; 12(3):e0174142. PubMed ID: 28355233
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
    Gao X; Wang X; Zhang S
    Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
    Sang L; Wang XM; Xu DY; Zhao WJ
    World J Gastroenterol; 2018 Jun; 24(24):2605-2616. PubMed ID: 29962817
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
    Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
    Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of potential key genes in very early hepatocellular carcinoma.
    Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
    World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Microarray Data Mining and Preliminary Bioinformatics Analysis of Hepatitis D Virus-Associated Hepatocellular Carcinoma.
    Yu Z; Ma X; Zhang W; Chang X; An L; Niu M; Chen Y; Sun C; Yang Y
    Biomed Res Int; 2021; 2021():1093702. PubMed ID: 33564675
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.