BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 29805564)

  • 1. Analysis of differential gene expression caused by cervical intraepithelial neoplasia based on GEO database.
    Yao S; Liu T
    Oncol Lett; 2018 Jun; 15(6):8319-8324. PubMed ID: 29805564
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Biological information analysis of differentially expressed genes in oral squamous cell carcinoma tissues in GEO database.
    Wang Y; Fan H; Zheng L
    J BUON; 2018; 23(6):1662-1670. PubMed ID: 30610792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Differential gene expression analysis in glioblastoma cells and normal human brain cells based on GEO database.
    Wang A; Zhang G
    Oncol Lett; 2017 Nov; 14(5):6040-6044. PubMed ID: 29113243
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analysis of common differential genes of coronary artery disease and ischemic cardiomyopathy.
    Li GM; Zhang CL; Rui RP; Sun B; Guo W
    Eur Rev Med Pharmacol Sci; 2018 Jun; 22(11):3553-3569. PubMed ID: 29917210
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.
    Wu K; Yi Y; Liu F; Wu W; Chen Y; Zhang W
    Oncol Lett; 2018 Jul; 16(1):1003-1009. PubMed ID: 29963176
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.
    He F; Ai B; Tian L
    Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [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. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
    Zou Z; Gan S; Liu S; Li R; Huang J
    Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
    Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
    Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis.
    Liu P; Jiang W; Zhang H
    Oncol Lett; 2017 Sep; 14(3):3313-3318. PubMed ID: 28927082
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene microarray analysis of expression profiles in Suberoyllanilide hyroxamic acid-treated Dendritic cells.
    Zhang J; Liu Y; Shi G
    Biochem Biophys Res Commun; 2019 Jan; 508(2):392-397. PubMed ID: 30502083
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [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. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 16. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
    Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
    Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of key genes and pathways for peri-implantitis through the analysis of gene expression data.
    Zhang H; Zhang X; Huang J; Fan X
    Exp Ther Med; 2017 May; 13(5):1832-1840. PubMed ID: 28565775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of key genes and pathways in benign prostatic hyperplasia.
    Ke ZB; Cai H; Wu YP; Lin YZ; Li XD; Huang JB; Sun XL; Zheng QS; Xue XY; Wei Y; Xu N
    J Cell Physiol; 2019 Nov; 234(11):19942-19950. PubMed ID: 31187492
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Analysis of sepsis-related genes through weighted gene co-expression network].
    Chen C; Li L; Zhao C; Zhen J; Yan J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Jun; 33(6):659-664. PubMed ID: 34296682
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.