BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

239 related articles for article (PubMed ID: 30881497)

  • 1. 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]  

  • 2. 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]  

  • 3. Identifying
    Ding J; Liu Y; Lai Y
    PeerJ; 2020; 8():e10419. PubMed ID: 33282565
    [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 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
    Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
    Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of key genes and pathways in meningioma by bioinformatics analysis.
    Dai J; Ma Y; Chu S; Le N; Cao J; Wang Y
    Oncol Lett; 2018 Jun; 15(6):8245-8252. PubMed ID: 29805558
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of core serous epithelial ovarian cancer genes as potential prognostic markers and indicators of the underlying molecular mechanisms using an integrated bioinformatics analysis.
    Zhang YB; Jiang Y; Wang J; Ma J; Han S
    Oncol Lett; 2019 Nov; 18(5):5508-5522. PubMed ID: 31612059
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
    Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
    Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of potential key genes in gastric cancer using bioinformatics analysis.
    Wang W; He Y; Zhao Q; Zhao X; Li Z
    Biomed Rep; 2020 Apr; 12(4):178-192. PubMed ID: 32190306
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key candidate genes involved in melanoma metastasis.
    Chen J; Wu F; Shi Y; Yang D; Xu M; Lai Y; Liu Y
    Mol Med Rep; 2019 Aug; 20(2):903-914. PubMed ID: 31173190
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.
    Cheng C; Hua J; Tan J; Qian W; Zhang L; Hou X
    Exp Ther Med; 2019 Jul; 18(1):278-288. PubMed ID: 31258663
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Screening of potential pain genes in pancreatic ductal adenocarcinoma (PDAC) based on bioinformatics methods.
    Xu Q; Wang W; Hu H; Ji S
    J Gastrointest Oncol; 2023 Feb; 14(1):420-428. PubMed ID: 36915423
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of key pathways and genes changes in pancreatic cancer cells (BXPC-3) after cross-talked 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 Jun; ():. PubMed ID: 31167532
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of key genes and pathways downstream of the β-catenin-TCF7L1 complex in pancreatic cancer cells using bioinformatics analysis.
    Yuan YH; Zhou J; Zhang Y; Xu MD; Wu J; Li W; Wu MY; Li DM
    Oncol Lett; 2019 Aug; 18(2):1117-1132. PubMed ID: 31423172
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.