BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

337 related articles for article (PubMed ID: 32218868)

  • 1. 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]  

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

  • 3. Identification of genes and pathways associated with pancreatic ductal adenocarcinoma by bioinformatics analyses.
    Long J; Zhang Z; Liu Z; Xu Y; Ge C
    Oncol Lett; 2016 Feb; 11(2):1391-1397. PubMed ID: 26893748
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
    Li N; Zhao X; You S
    Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Overexpression of BUB1B, CCNA2, CDC20, and CDK1 in tumor tissues predicts poor survival in pancreatic ductal adenocarcinoma.
    Dong S; Huang F; Zhang H; Chen Q
    Biosci Rep; 2019 Feb; 39(2):. PubMed ID: 30765611
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 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. Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.
    Zhang L; Makamure J; Zhao D; Liu Y; Guo X; Zheng C; Liang B
    Exp Ther Med; 2020 Jul; 20(1):427-435. PubMed ID: 32537007
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Identification of hub genes involved in the occurrence and development of hepatocellular carcinoma via bioinformatics analysis.
    Mi N; Cao J; Zhang J; Fu W; Huang C; Gao L; Yue P; Bai B; Lin Y; Meng W; Li X
    Oncol Lett; 2020 Aug; 20(2):1695-1708. PubMed ID: 32724412
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identification of key genes and microRNAs involved in kidney Wilms tumor by integrated bioinformatics analysis.
    Zhang L; Gao X; Zhou X; Qin Z; Wang Y; Li R; Tang M; Wang W; Zhang W
    Exp Ther Med; 2019 Oct; 18(4):2554-2564. PubMed ID: 31555364
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-level integrative analysis of the roles of lncRNAs and differential mRNAs in the progression of chronic pancreatitis to pancreatic ductal adenocarcinoma.
    Zhao Z; Luo Q; Liu Y; Jiang K; Zhou L; Dai R; Wang H
    BMC Genomics; 2023 Mar; 24(1):101. PubMed ID: 36879212
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of key pathways and candidate genes in pancreatic ductal adenocarcinoma using bioinformatics analysis.
    He Y; Liu Y; Gong J; Liu C; Zhang H; Wu H
    Oncol Lett; 2019 Apr; 17(4):3751-3764. PubMed ID: 30881497
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bioinformatic Analysis Suggests That Three Hub Genes May Be a Vital Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma.
    Chang X; Yang MF; Fan W; Wang LS; Yao J; Li ZS; Li DF
    J Comput Biol; 2020 Nov; 27(11):1595-1609. PubMed ID: 32216644
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.