BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 33381592)

  • 1. Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.
    Li M; Wang X; Liu J; Mao X; Li D; Wang Z; Tang Y; Wu S
    Biomed Res Int; 2020; 2020():8859826. PubMed ID: 33381592
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Identifying
    Ding J; Liu Y; Lai Y
    PeerJ; 2020; 8():e10419. PubMed ID: 33282565
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer.
    Zhao Q; Xie J; Xie J; Zhao R; Song C; Wang H; Rong J; Yan L; Song Y; Wang F; Xie Y
    Cancer Biomark; 2021; 31(1):59-75. PubMed ID: 33780362
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Novel prognostic biomarkers of gastric cancer based on gene expression microarray: COL12A1, GSTA3, FGA and FGG.
    Duan S; Gong B; Wang P; Huang H; Luo L; Liu F
    Mol Med Rep; 2018 Oct; 18(4):3727-3736. PubMed ID: 30106150
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods.
    Liu J; Ma L; Chen Z; Song Y; Gu T; Liu X; Zhao H; Yao N
    Ann Transl Med; 2020 Jul; 8(14):884. PubMed ID: 32793728
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Hub Genes and Potential Pathogenesis in Gastric Cancer Based on Integrated Gene Expression Profile Analysis.
    Luu Truong Thanh H; Hoang TM; Hoang Van H
    Asian Pac J Cancer Prev; 2024 Mar; 25(3):885-892. PubMed ID: 38546071
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [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]  

  • 16. Identification of the collagen family as prognostic biomarkers and immune-associated targets in gastric cancer.
    Chen Y; Chen W; Dai X; Zhang C; Zhang Q; Lu J
    Int Immunopharmacol; 2020 Oct; 87():106798. PubMed ID: 32693357
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer.
    Wang Y; Zheng K; Chen X; Chen R; Zou Y
    Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33345281
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Screening and identification of hub genes in pancreatic cancer by integrated bioinformatics analysis.
    Chen Q; Yu D; Zhao Y; Qiu J; Xie Y; Tao M
    J Cell Biochem; 2019 Dec; 120(12):19496-19508. PubMed ID: 31297881
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis.
    Yang B; Zhang M; Luo T
    Front Genet; 2020; 11():517362. PubMed ID: 33193601
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.