These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

440 related articles for article (PubMed ID: 34187556)

  • 1. Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis.
    Lei X; Zhang M; Guan B; Chen Q; Dong Z; Wang C
    Hum Genomics; 2021 Jun; 15(1):39. PubMed ID: 34187556
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 3. 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]  

  • 4. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
    Yang Q; Yu B; Sun J
    Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
    Qiang R; Zhao Z; Tang L; Wang Q; Wang Y; Huang Q
    Comput Math Methods Med; 2021; 2021():9991255. PubMed ID: 34603487
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CDK1-PLK1/SGOL2/ANLN pathway mediating abnormal cell division in cell cycle may be a critical process in hepatocellular carcinoma.
    Li L; Huang K; Zhao H; Chen B; Ye Q; Yue J
    Cell Cycle; 2020 May; 19(10):1236-1252. PubMed ID: 32275843
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
    Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
    Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
    Zhang L; Sun L; Zhang B; Chen L
    Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
    Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
    Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
    Tang Y; Zhang Y; Hu X
    Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
    Yang WX; Pan YY; You CG
    Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis.
    Song X; Du R; Gui H; Zhou M; Zhong W; Mao C; Ma J
    Oncol Rep; 2020 Jan; 43(1):133-146. PubMed ID: 31746405
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Deciphering the Molecular Complexity of Hepatocellular Carcinoma: Unveiling Novel Biomarkers and Therapeutic Targets Through Advanced Bioinformatics Analysis.
    Moghimi A; Bani Hosseinian N; Mahdipour M; Ahmadpour E; Miranda-Bedate A; Ghorbian S
    Cancer Rep (Hoboken); 2024 Aug; 7(8):e2152. PubMed ID: 39118438
    [TBL] [Abstract][Full Text] [Related]  

  • 16. In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.
    Khedkar HN; Wang YC; Yadav VK; Srivastava P; Lawal B; Mokgautsi N; Sumitra MR; Wu ATH; Huang HS
    Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34072728
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
    Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
    Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 22.