BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

355 related articles for article (PubMed ID: 29963176)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
    Wang Y; Zhang Y; Huang Q; Li C
    Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
    Wu B; Xi S
    BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
    Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
    Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of key candidate genes and biological pathways in the synovial tissue of patients with rheumatoid arthritis.
    Yu F; Hu G; Li L; Yu B; Liu R
    Exp Ther Med; 2022 Jun; 23(6):368. PubMed ID: 35495609
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
    Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
    Front Genet; 2020; 11():530892. PubMed ID: 33061942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.