BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 30643458)

  • 1. Identification of hub genes and outcome in colon cancer based on bioinformatics analysis.
    Yang W; Ma J; Zhou W; Li Z; Zhou X; Cao B; Zhang Y; Liu J; Yang Z; Zhang H; Zhao Q; Hong L; Fan D
    Cancer Manag Res; 2019; 11():323-338. PubMed ID: 30643458
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of core genes and outcome in gastric cancer using bioinformatics analysis.
    Sun C; Yuan Q; Wu D; Meng X; Wang B
    Oncotarget; 2017 Sep; 8(41):70271-70280. PubMed ID: 29050278
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of potential core genes in gastric cancer using bioinformatics analysis.
    Shao C; Wang R; Kong D; Gao Q; Xu C
    J Gastrointest Oncol; 2021 Oct; 12(5):2109-2122. PubMed ID: 34790378
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis.
    Lin Y; Li J; Wu D; Wang F; Fang Z; Shen G
    Diabetes Metab Syndr Obes; 2020; 13():1793-1801. PubMed ID: 32547141
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
    Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
    J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of potential core genes in triple negative breast cancer using bioinformatics analysis.
    Li MX; Jin LT; Wang TJ; Feng YJ; Pan CP; Zhao DM; Shao J
    Onco Targets Ther; 2018; 11():4105-4112. PubMed ID: 30140156
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics Analysis.
    Geng RX; Li N; Xu Y; Liu JH; Yuan FE; Sun Q; Liu BH; Chen QX
    Dis Markers; 2018; 2018():3215958. PubMed ID: 30405856
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
    Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
    PeerJ; 2018; 6():e5180. PubMed ID: 30002985
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of hub genes associated with outcome of clear cell renal cell carcinoma.
    Li R; Wang L; Wang X; Geng RX; Li N; Liu XH
    Oncol Lett; 2020 Apr; 19(4):2846-2860. PubMed ID: 32218839
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis.
    Zhou L; Du Y; Kong L; Zhang X; Chen Q
    Onco Targets Ther; 2018; 11():1861-1869. PubMed ID: 29670361
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
    Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B
    Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
    Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
    BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of hub genes in colon cancer via bioinformatics analysis.
    Liu J; Sun GL; Pan SL; Qin MB; Ouyang R; Huang JA
    J Int Med Res; 2020 Sep; 48(9):300060520953234. PubMed ID: 32961078
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.