BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 29302192)

  • 1. Identification of epigenetically altered genes and potential gene targets in melanoma using bioinformatic methods.
    Duan H; Jiang K; Wei D; Zhang L; Cheng D; Lv M; Xu Y; He A
    Onco Targets Ther; 2018; 11():9-15. PubMed ID: 29302192
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
    Wang Z; Zhang Z; Zhang C; Xu Y
    Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of aberrantly methylated differentially expressed genes and pro-tumorigenic role of KIF2C in melanoma.
    Huang CH; Han W; Wu YZ; Shen GL
    Front Genet; 2022; 13():817656. PubMed ID: 35991567
    [No Abstract]   [Full Text] [Related]  

  • 4. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
    Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
    Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrated analysis of genome‑wide gene expression and DNA methylation microarray of diffuse large B‑cell lymphoma with TET mutations.
    Liu P; Jiang W; Zhao J; Zhang H
    Mol Med Rep; 2017 Oct; 16(4):3777-3782. PubMed ID: 28731140
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of the interaction network of hub genes for melanoma treated with vemurafenib based on microarray data.
    Quan L; Wang Y; Liang J; Shi J; Zhang Y; Tao K
    Tumori; 2015; 101(4):368-74. PubMed ID: 25983087
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Screening the key genes of hepatocellular adenoma via microarray analysis of DNA expression and methylation profiles.
    Liu D; Liu P; Cao L; Zhang Q; Chen Y
    Oncol Lett; 2017 Oct; 14(4):3975-3980. PubMed ID: 28943905
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma.
    Zhao C; Zou H; Zhang J; Wang J; Liu H
    Oncol Rep; 2018 Nov; 40(5):2637-2647. PubMed ID: 30226546
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrative Analysis of DNA Methylation and Gene Expression Profiling Data Reveals Candidate Methylation-Regulated Genes in Hepatoblastoma.
    Wang JY; Lao J; Luo Y; Guo JJ; Cheng H; Zhang HY; Yao J; Ma XP; Wang B
    Int J Gen Med; 2021; 14():9419-9431. PubMed ID: 34908869
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.
    Chang D; Qian C; Li H; Feng H
    J Cell Biochem; 2019 Aug; 120(8):13001-13011. PubMed ID: 30861201
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
    Ding Y; Liu P; Zhang S; Tao L; Han J
    Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of potential pathogenic candidates or diagnostic biomarkers in papillary thyroid carcinoma using expression and methylation profiles.
    Wei S; Yun X; Ruan X; Wei X; Zheng X; Gao M
    Oncol Lett; 2019 Dec; 18(6):6670-6678. PubMed ID: 31814850
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
    Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
    Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
    Shen J; Zhu B
    Mol Med Rep; 2018 Jun; 17(6):7636-7644. PubMed ID: 29620215
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of therapeutic targets for Alzheimer's disease via differentially expressed gene and weighted gene co-expression network analyses.
    Jia Y; Nie K; Li J; Liang X; Zhang X
    Mol Med Rep; 2016 Nov; 14(5):4844-4848. PubMed ID: 27748870
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Screening of potential therapy targets for prostate cancer using integrated analysis of two gene expression profiles.
    Zhao R; Wang Y; Zhang M; Gu X; Wang W; Tan J; Wei X; Jin N
    Oncol Lett; 2017 Nov; 14(5):5361-5369. PubMed ID: 29113170
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of candidate target genes of pituitary adenomas based on the DNA microarray.
    Zhou W; Ma CX; Xing YZ; Yan ZY
    Mol Med Rep; 2016 Mar; 13(3):2182-6. PubMed ID: 26782791
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis.
    Kuang Z; Guo L; Li X
    Mol Med Rep; 2017 Oct; 16(4):4685-4693. PubMed ID: 28791394
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of the anticancer effects of a novel proteasome inhibitor, ixazomib, on colorectal cancer using a combined method of microarray and bioinformatics analysis.
    Fan Q; Liu B
    Onco Targets Ther; 2017; 10():3591-3606. PubMed ID: 28790851
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.