BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

309 related articles for article (PubMed ID: 32724399)

  • 1. Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma.
    Cui H; Xu L; Li Z; Hou KZ; Che XF; Liu BF; Liu YP; Qu XJ
    Oncol Lett; 2020 Aug; 20(2):1573-1584. PubMed ID: 32724399
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics analysis of C3 and CXCR4 demonstrates their potential as prognostic biomarkers in clear cell renal cell carcinoma (ccRCC).
    Quan J; Bai Y; Yang Y; Han EL; Bai H; Zhang Q; Zhang D
    BMC Cancer; 2021 Jul; 21(1):814. PubMed ID: 34266404
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of CXCL10 as a Prognostic Biomarker for Clear Cell Renal Cell Carcinoma.
    Qu G; Wang H; Yan H; Liu G; Wu M
    Front Oncol; 2022; 12():857619. PubMed ID: 35296026
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma.
    Luo T; Chen X; Zeng S; Guan B; Hu B; Meng Y; Liu F; Wong T; Lu Y; Yun C; Hocher B; Yin L
    Oncol Lett; 2018 Aug; 16(2):1747-1757. PubMed ID: 30008862
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Screening of possible biomarkers and therapeutic targets in kidney renal clear cell carcinoma: Evidence from bioinformatic analysis.
    Peng L; Cao Z; Wang Q; Fang L; Yan S; Xia D; Wang J; Bi L
    Front Oncol; 2022; 12():963483. PubMed ID: 36313709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma.
    Zhang H; Zou J; Yin Y; Zhang B; Hu Y; Wang J; Mu H
    PeerJ; 2019; 7():e8096. PubMed ID: 31788359
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysis.
    Tian ZH; Yuan C; Yang K; Gao XL
    Ann Transl Med; 2019 Mar; 7(5):89. PubMed ID: 31019939
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
    Bai J; Pu X; Zhang Y; Dai E
    Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of key genes involved in the metastasis of clear cell renal cell carcinoma.
    Wei W; Lv Y; Gan Z; Zhang Y; Han X; Xu Z
    Oncol Lett; 2019 May; 17(5):4321-4328. PubMed ID: 30988807
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
    Deng JL; Xu YH; Wang G
    Front Genet; 2019; 10():695. PubMed ID: 31428132
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
    Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
    Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
    Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
    Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Identification of differentially expressed genes and biological characteristics of colorectal cancer by integrated bioinformatics analysis.
    Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
    J Cell Physiol; 2019 Sep; 234(9):15215-15224. PubMed ID: 30652311
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. The screening of pivotal gene expression signatures and biomarkers in renal carcinoma.
    Ruan H; Li S; Tong J; Cao Q; Song Z; Wang K; Huang Y; Bao L; Chen X; Yang H; Chen K; Zhang X
    J Cancer; 2019; 10(25):6384-6394. PubMed ID: 31772671
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.