BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

553 related articles for article (PubMed ID: 31173190)

  • 21. 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]  

  • 22. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
    Hu S; Liao Y; Chen L
    Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
    Chen B; Sun D; Qin X; Gao XH
    Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Screening of hub genes and evaluation of the growth regulatory role of CD44 in metastatic prostate cancer.
    Lin J; Chen Z; Li Z; Nong D; Li X; Huang G; Hao N; Liang J; Li W
    Oncol Rep; 2021 Sep; 46(3):. PubMed ID: 34296309
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
    Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
    Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
    Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
    PeerJ; 2020; 8():e10265. PubMed ID: 33240619
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. 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]  

  • 29. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
    Yu-Jing T; Wen-Jing T; Biao T
    Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of differentially expressed genes and functional annotations associated with metastases of the uveal melanoma.
    Xu Y; Han W; Xu WH; Wang Y; Yang XL; Nie HL; Yao J; Shen GL; Zhang XF
    J Cell Biochem; 2019 Nov; 120(11):19202-19214. PubMed ID: 31270856
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.
    Chen X; Pan Y; Yan M; Bao G; Sun X
    Mol Med Rep; 2020 Aug; 22(2):859-869. PubMed ID: 32467990
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
    Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
    Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Tetraspanin family identified as the central genes detected in gastric cancer using bioinformatics analysis.
    Qi W; Sun L; Liu N; Zhao S; Lv J; Qiu W
    Mol Med Rep; 2018 Oct; 18(4):3599-3610. PubMed ID: 30106120
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of Keratinocyte Differentiation-Involved Genes for Metastatic Melanoma by Gene Expression Profiles.
    Li K; Guo S; Tong S; Sun Q; Jin S; Qi B; Shao Y; Xu N
    Comput Math Methods Med; 2021; 2021():9652768. PubMed ID: 35003328
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 37. Identification of differentially expressed genes and biological pathways in bladder cancer.
    Tang F; He Z; Lei H; Chen Y; Lu Z; Zeng G; Wang H
    Mol Med Rep; 2018 May; 17(5):6425-6434. PubMed ID: 29532898
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma.
    Liu K; Kang M; Zhou Z; Qin W; Wang R
    Oncol Lett; 2019 Oct; 18(4):3637-3645. PubMed ID: 31516577
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 28.