BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

227 related articles for article (PubMed ID: 30598639)

  • 1. Analysis of dynamic molecular networks for pancreatic ductal adenocarcinoma progression.
    Pan Z; Li L; Fang Q; Zhang Y; Hu X; Qian Y; Huang P
    Cancer Cell Int; 2018; 18():214. PubMed ID: 30598639
    [TBL] [Abstract][Full Text] [Related]  

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

  • 3. ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysis.
    Islam S; Kitagawa T; Baron B; Abiko Y; Chiba I; Kuramitsu Y
    Sci Rep; 2021 May; 11(1):10563. PubMed ID: 34007003
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated transcriptome meta-analysis of pancreatic ductal adenocarcinoma and matched adjacent pancreatic tissues.
    Atay S
    PeerJ; 2020; 8():e10141. PubMed ID: 33194391
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of potential target genes in pancreatic ductal adenocarcinoma by bioinformatics analysis.
    Tang Y; Zhang Z; Tang Y; Chen X; Zhou J
    Oncol Lett; 2018 Aug; 16(2):2453-2461. PubMed ID: 30013637
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Analysis of molecular pathways in pancreatic ductal adenocarcinomas with a bioinformatics approach.
    Wang Y; Li Y
    Asian Pac J Cancer Prev; 2015; 16(6):2561-7. PubMed ID: 25824797
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasets.
    Liu L; Wang S; Cen C; Peng S; Chen Y; Li X; Diao N; Li Q; Ma L; Han P
    Mol Med Rep; 2019 Aug; 20(2):1901-1914. PubMed ID: 31257501
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of hub genes and analysis of prognostic values in pancreatic ductal adenocarcinoma by integrated bioinformatics methods.
    Lu Y; Li C; Chen H; Zhong W
    Mol Biol Rep; 2018 Dec; 45(6):1799-1807. PubMed ID: 30173393
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
    Zhou J; Hui X; Mao Y; Fan L
    Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Upregulation of ASPM, BUB1B and SPDL1 in tumor tissues predicts poor survival in patients with pancreatic ductal adenocarcinoma.
    Tian X; Wang N
    Oncol Lett; 2020 Apr; 19(4):3307-3315. PubMed ID: 32218868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Four potential microRNAs affect the progression of pancreatic ductal adenocarcinoma by targeting MET via the PI3K/AKT signaling pathway.
    Yao LC; Jiang XH; Yan SS; Wang W; Wu L; Zhai LL; Xiang F; Ji T; Ye L; Tang ZG
    Oncol Lett; 2021 Apr; 21(4):326. PubMed ID: 33692858
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of potential hub genes associated with the pathogenesis and prognosis of pancreatic duct adenocarcinoma using bioinformatics meta-analysis of multi-platform datasets.
    Ma Y; Pu Y; Peng L; Luo X; Xu J; Peng Y; Tang X
    Oncol Lett; 2019 Dec; 18(6):6741-6751. PubMed ID: 31807183
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comprehensive analysis of abnormal expression, prognostic value and oncogenic role of the hub gene FN1 in pancreatic ductal adenocarcinoma
    Lei X; Chen G; Li J; Wen W; Gong J; Fu J
    PeerJ; 2021; 9():e12141. PubMed ID: 34567847
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Identification of key pathways and genes changes in pancreatic cancer cells (BXPC-3) after cross-talk with primary pancreatic stellate cells using bioinformatics analysis.
    Tang D; Wu Q; Yuan Z; Xu J; Zhang H; Jin Z; Zhang Q; Xu M; Wang Z; Dai Z; Fang H; Li Z; Lin C; Shi C; Xu M; Sun X; Wang D
    Neoplasma; 2019 Sep; 66(5):681-693. PubMed ID: 31169017
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
    Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
    Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.