BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

254 related articles for article (PubMed ID: 34876855)

  • 1. Bioinformatics Analysis of Hub Genes and Potential Therapeutic Agents Associated with Gastric Cancer.
    Zhang S; Xiang X; Liu L; Yang H; Cen D; Tang G
    Cancer Manag Res; 2021; 13():8929-8951. PubMed ID: 34876855
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
    Li T; Gao X; Han L; Yu J; Li H
    World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.
    Abdolahi F; Shahraki A; Sheervalilou R; Mortazavi SS
    BMC Med Genomics; 2023 Dec; 16(1):311. PubMed ID: 38041130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
    Tian Y; Xing Y; Zhang Z; Peng R; Zhang L; Sun Y
    Biomed Res Int; 2020; 2020():2862701. PubMed ID: 32908877
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
    Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
    PeerJ; 2018; 6():e5180. PubMed ID: 30002985
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dysregulation of NCAPG, KNL1, miR-148a-3p, miR-193b-3p, and miR-1179 may contribute to the progression of gastric cancer.
    Song B; Du J; Song DF; Ren JC; Feng Y
    Biol Res; 2018 Nov; 51(1):44. PubMed ID: 30390708
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of potential core genes in gastric cancer using bioinformatics analysis.
    Shao C; Wang R; Kong D; Gao Q; Xu C
    J Gastrointest Oncol; 2021 Oct; 12(5):2109-2122. PubMed ID: 34790378
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
    Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
    World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of miRNA-target gene regulatory networks in liver fibrosis based on bioinformatics analysis.
    Tai Y; Zhao C; Gao J; Lan T; Tong H
    PeerJ; 2021; 9():e11910. PubMed ID: 34434654
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Key Genes and Circular RNAs in Human Gastric Cancer.
    Hao S; Lv J; Yang Q; Wang A; Li Z; Guo Y; Zhang G
    Med Sci Monit; 2019 Apr; 25():2488-2504. PubMed ID: 30948703
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Key elements involved in Epstein-Barr virus-associated gastric cancer and their network regulation.
    Jing JJ; Wang ZY; Li H; Sun LP; Yuan Y
    Cancer Cell Int; 2018; 18():146. PubMed ID: 30258285
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comprehensive Analysis of a circRNA-miRNA-mRNA Network to Reveal Potential Inflammation-Related Targets for Gastric Adenocarcinoma.
    Liu Y; Xu Y; Xiao F; Zhang J; Wang Y; Yao Y; Yang J
    Mediators Inflamm; 2020; 2020():9435608. PubMed ID: 32801999
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification and Validation of Hub Genes in Acute Pancreatitis and Hypertriglyceridemia.
    Zhang S; Liang Z; Xiang X; Liu L; Yang H; Tang G
    Diabetes Metab Syndr Obes; 2022; 15():559-577. PubMed ID: 35237056
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Genes Associated with Tumor Microenvironment Infiltration and Survival in Gastric Adenocarcinoma via Bioinformatics Analysis.
    Konstantis G; Tsaousi G; Pourzitaki C; Kasper-Virchow S; Zaun G; Kitsikidou E; Passenberg M; Tseriotis VS; Willuweit K; Schmidt HH; Rashidi-Alavijeh J
    Cancers (Basel); 2024 Mar; 16(7):. PubMed ID: 38610959
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].
    Liang Y; Lai Y; Yuan Y; Yuan W; Zhang X; Zhang B; Lu Z
    Nan Fang Yi Ke Da Xue Xue Bao; 2024 Mar; 44(3):605-616. PubMed ID: 38597453
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of biomarkers and construction of a microRNA-mRNA regulatory network for ependymoma using integrated bioinformatics analysis.
    Yang B; Dai JX; Pan YB; Ma YB; Chu SH
    Oncol Lett; 2019 Dec; 18(6):6079-6089. PubMed ID: 31788082
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Analysis of the Interaction Network of Hub miRNAs-Hub Genes, Being Involved in Idiopathic Pulmonary Fibers and Its Emerging Role in Non-small Cell Lung Cancer.
    Yu DH; Ruan XL; Huang JY; Liu XP; Ma HL; Chen C; Hu WD; Li S
    Front Genet; 2020; 11():302. PubMed ID: 32300359
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosis.
    Darang E; Pezeshkian Z; Mirhoseini SZ; Ghovvati S
    Front Oncol; 2023; 13():1187521. PubMed ID: 37361568
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.