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 *

1231 related articles for article (PubMed ID: 33501609)

  • 1. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
    Chen B; Sun D; Qin X; Gao XH
    Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Potential Hub Genes and Therapeutic Drugs in Malignant Pleural Mesothelioma by Integrated Bioinformatics Analysis.
    Zhang X; Yang L; Chen W; Kong M
    Oncol Res Treat; 2020; 43(12):656-671. PubMed ID: 33032291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Screening and identification of key genes and pathways in metastatic uveal melanoma based on gene expression using bioinformatic analysis.
    Xie J; Wu Z; Xu X; Liang G; Xu J
    Medicine (Baltimore); 2020 Oct; 99(43):e22974. PubMed ID: 33120861
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
    Li J; Liu X; Cui Z; Han G
    Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis.
    Xie R; Li B; Jia L; Li Y
    Int J Mol Sci; 2022 Jan; 23(2):. PubMed ID: 35054979
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
    Yang Q; Li K; Li X; Liu J
    Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
    [No Abstract]   [Full Text] [Related]  

  • 10. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
    Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
    Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 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. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
    Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
    PeerJ; 2020; 8():e10265. PubMed ID: 33240619
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis and identification of novel biomarkers involved in neuroblastoma via integrated bioinformatics.
    Chen B; Ding P; Hua Z; Qin X; Li Z
    Invest New Drugs; 2021 Feb; 39(1):52-65. PubMed ID: 32772341
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
    Shang M; Zhang L; Chen X; Zheng S
    Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
    Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
    BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
    Fang E; Zhang X
    Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 19. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
    Shi H; Xu H; Chai C; Qin Z; Zhou W
    J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 62.