BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 31876269)

  • 1. Integrated Analysis Revealed Prognostic Factors for Prostate Cancer Patients.
    Che H; Liu Y; Zhang M; Meng J; Feng X; Zhou J; Liang C
    Med Sci Monit; 2019 Dec; 25():9991-10007. PubMed ID: 31876269
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Five lncRNAs Associated With Prostate Cancer Prognosis Identified by Coexpression Network Analysis.
    Gong X; Ning B
    Technol Cancer Res Treat; 2020; 19():1533033820963578. PubMed ID: 33084528
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
    Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
    J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of novel biomarkers correlated with prostate cancer progression by an integrated bioinformatic analysis.
    Ma Z; Wang J; Ding L; Chen Y
    Medicine (Baltimore); 2020 Jul; 99(28):e21158. PubMed ID: 32664150
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploration of the Tumor Mutational Burden as a Prognostic Biomarker and Related Hub Gene Identification in Prostate Cancer.
    Wang L; Yao Y; Xu C; Wang X; Wu D; Hong Z
    Technol Cancer Res Treat; 2021; 20():15330338211052154. PubMed ID: 34806485
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
    Zhang L; Sun L; Zhang B; Chen L
    Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach.
    Huang H; Zhang Q; Ye C; Lv JM; Liu X; Chen L; Wu H; Yin L; Cui XG; Xu DF; Liu WH
    J Cancer Res Clin Oncol; 2017 Dec; 143(12):2571-2579. PubMed ID: 28849390
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Integrated analyses identify potential prognostic markers for uveal melanoma.
    Ni Y; Zhang Z; Chen G; Long W; Tong L; Zeng J
    Exp Eye Res; 2019 Oct; 187():107780. PubMed ID: 31469983
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Potential miRNAs Biomarkers for High-Grade Prostate Cancer by Integrated Bioinformatics Analysis.
    Foj L; Filella X
    Pathol Oncol Res; 2019 Oct; 25(4):1445-1456. PubMed ID: 30367364
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.
    Chen Q; Hu J; Deng J; Fu B; Guo J
    Biomed Res Int; 2019; 2019():3917982. PubMed ID: 31828101
    [No Abstract]   [Full Text] [Related]  

  • 13. Predicting biochemical-recurrence-free survival using a three-metabolic-gene risk score model in prostate cancer patients.
    Zhao Y; Tao Z; Li L; Zheng J; Chen X
    BMC Cancer; 2022 Mar; 22(1):239. PubMed ID: 35246070
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Random forest-based modelling to detect biomarkers for prostate cancer progression.
    Toth R; Schiffmann H; Hube-Magg C; Büscheck F; Höflmayer D; Weidemann S; Lebok P; Fraune C; Minner S; Schlomm T; Sauter G; Plass C; Assenov Y; Simon R; Meiners J; Gerhäuser C
    Clin Epigenetics; 2019 Oct; 11(1):148. PubMed ID: 31640781
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ARRDC3 Inhibits the Progression of Human Prostate Cancer Through ARRDC3-ITGβ4 Pathway.
    Zheng Y; Lin ZY; Xie JJ; Jiang FN; Chen CJ; Li JX; Zhou X; Zhong WD
    Curr Mol Med; 2017; 17(3):221-229. PubMed ID: 28782483
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correlating Transcriptional Networks to Papillary Renal Cell Carcinoma Survival: A Large-Scale Coexpression Analysis and Clinical Validation.
    Feng X; Zhang M; Meng J; Wang Y; Liu Y; Liang C; Fan S
    Oncol Res; 2020 May; 28(3):285-297. PubMed ID: 31948514
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Gene Expression Analysis Reveals Key Genes and Signalings Associated with the Prognosis of Prostate Cancer.
    Shen H; Guo YL; Li GH; Zhao W; Zhang L
    Comput Math Methods Med; 2021; 2021():9946015. PubMed ID: 34497666
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated Network Analysis to Determine CNN1, MYL9, TAGLN, and SORBS1 as Potential Key Genes Associated with Prostate Cancer.
    Li C; Pang L; Jin F; Song Y; Zhou D; Song Y; Li Y; Jin S; Zhang L; Liang W; Shen X; Li J; She B; Wang C; Ma L
    Clin Lab; 2023 Jul; 69(7):. PubMed ID: 37436378
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A TMEFF2-regulated cell cycle derived gene signature is prognostic of recurrence risk in prostate cancer.
    Georgescu C; Corbin JM; Thibivilliers S; Webb ZD; Zhao YD; Koster J; Fung KM; Asch AS; Wren JD; Ruiz-Echevarría MJ
    BMC Cancer; 2019 May; 19(1):423. PubMed ID: 31060542
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High expression of ASPM correlates with tumor progression and predicts poor outcome in patients with prostate cancer.
    Xie JJ; Zhuo YJ; Zheng Y; Mo RJ; Liu ZZ; Li BW; Cai ZD; Zhu XJ; Liang YX; He HC; Zhong WD
    Int Urol Nephrol; 2017 May; 49(5):817-823. PubMed ID: 28213802
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.