BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 31423244)

  • 1. Identification of
    Wang S; Yu ZH; Chai KQ
    Oncol Lett; 2019 Aug; 18(2):1767-1774. PubMed ID: 31423244
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-Analysis.
    Wang S; Yu ZH; Chai KQ
    Biomed Res Int; 2019; 2019():6480865. PubMed ID: 30895194
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification and Analysis of Novel Biomarkers Involved in Chromophobe Renal Cell Carcinoma by Integrated Bioinformatics Analyses.
    Zhang W; Xu Y; Zhang J; Wu J
    Biomed Res Int; 2020; 2020():2671281. PubMed ID: 32090070
    [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 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]  

  • 6. Smoking enhanced the expression of c-kit in chromophobe renal cell carcinoma.
    Jiang J; Yang L; Chen M; Xiao F; Zeng Y; Zhu H; Li Y; Liu L
    Tob Induc Dis; 2023; 21():126. PubMed ID: 37808589
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Identification of Key Genes and Prognostic Analysis between Chromophobe Renal Cell Carcinoma and Renal Oncocytoma by Bioinformatic Analysis.
    Wu H; Fan L; Liu H; Guan B; Hu B; Liu F; Hocher B; Yin L
    Biomed Res Int; 2020; 2020():4030915. PubMed ID: 31998788
    [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. 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]  

  • 12. 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]  

  • 13. Alpha-2-Heremans-Schmid-glycoprotein (AHSG) a potential biomarker associated with prognosis of chromophobe renal cell carcinoma: The PROPOLIS study.
    Li X; Ma C
    Health Sci Rep; 2022 Nov; 5(6):e878. PubMed ID: 36262809
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 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. 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]  

  • 19. 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]  

  • 20. Identification of biomarkers of chromophobe renal cell carcinoma by weighted gene co-expression network analysis.
    Yin X; Wang J; Zhang J
    Cancer Cell Int; 2018; 18():206. PubMed ID: 30564062
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.