BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 38462863)

  • 1. Screening the Biomarkers and Related Medicines for Gastric Adenocarcinoma.
    Lin J; Xu N; An W
    J Coll Physicians Surg Pak; 2024 Mar; 34(3):290-295. PubMed ID: 38462863
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
    Qiu J; Sun M; Wang Y; Chen B
    Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Extracellular Matrix-Related Hubs Genes Have Adverse Effects on Gastric Adenocarcinoma Prognosis Based on Bioinformatics Analysis.
    Alatan H; Chen Y; Zhou J; Wang L
    Genes (Basel); 2021 Jul; 12(7):. PubMed ID: 34356118
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
    Liu J; Cheng Z
    Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
    Li D; Yin Y; He M; Wang J
    Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Screening and Survival Analysis of Hub Genes in Gastric Cancer Based on Bioinformatics.
    Zheng S; Yang L; Dai Y; Jiang L; Wei Y; Wen H; Xu Y
    J Comput Biol; 2019 Nov; 26(11):1316-1325. PubMed ID: 31233344
    [No Abstract]   [Full Text] [Related]  

  • 11. 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]  

  • 12. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
    Zhang H; Huo J; Jiang W; Shan Q
    Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
    Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
    Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer.
    Yang G; Jian L; Lin X; Zhu A; Wen G
    Dis Markers; 2019; 2019():1372571. PubMed ID: 31949544
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of potential hub genes of gastric cancer.
    Zhou XD; Qu YW; Wang L; Jia FH; Chen P; Wang YP; Liu HF
    Medicine (Baltimore); 2022 Oct; 101(41):e30741. PubMed ID: 36254003
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
    Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
    Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.