BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 34082608)

  • 1. Identification of crucial genes and pathways associated with prostate cancer in multiple databases.
    Guo H; Zhang Z; Wang Y; Xue S
    J Int Med Res; 2021 Jun; 49(6):3000605211016624. PubMed ID: 34082608
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
    Ye Y; Li SL; Wang SY
    PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Identification of Potential Key Genes and Pathways in Enzalutamide-Resistant Prostate Cancer Cell Lines: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.
    Zheng L; Dou X; Ma X; Qu W; Tang X
    Biomed Res Int; 2020; 2020():8341097. PubMed ID: 32724813
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
    Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
    Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Correlation of NTRK1 Downregulation with Low Levels of Tumor-Infiltrating Immune Cells and Poor Prognosis of Prostate Cancer Revealed by Gene Network Analysis.
    Bagherabadi A; Hooshmand A; Shekari N; Singh P; Zolghadri S; Stanek A; Dohare R
    Genes (Basel); 2022 May; 13(5):. PubMed ID: 35627227
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Identification of Key Gene Expression Signature in Prostate Cancer.
    Huang Y; Cao Q; Song Z; Ruan H; Wang K; Chen K; Zhang X
    Crit Rev Eukaryot Gene Expr; 2020; 30(2):153-168. PubMed ID: 32558494
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Pathway crosstalk analysis in prostate cancer based on protein-protein network data.
    Li HY; Jin N; Han YP; Jin XF
    Neoplasma; 2017; 64(1):22-31. PubMed ID: 27881001
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
    Baruah MM; Sharma N
    Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 14. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
    Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
    Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Transcriptome analysis revealed CENPF associated with glioma prognosis.
    Zhang M; Zhang Q; Bai J; Zhao Z; Zhang J
    Math Biosci Eng; 2021 Mar; 18(3):2077-2096. PubMed ID: 33892537
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
    Yang SY; Ren H; Li CF; Tang H
    Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
    [No Abstract]   [Full Text] [Related]  

  • 18. Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis.
    Wang Y; Wang J; Tang Q; Ren G
    PLoS One; 2021; 16(2):e0247827. PubMed ID: 33630978
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.