BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

514 related articles for article (PubMed ID: 29377892)

  • 1. Network-based co-expression analysis for exploring the potential diagnostic biomarkers of metastatic melanoma.
    Wang LX; Li Y; Chen GZ
    PLoS One; 2018; 13(1):e0190447. PubMed ID: 29377892
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Coexpression network analysis identified that plakophilin 1 is associated with the metastasis in human melanoma.
    Wang HZ; Wang F; Chen PF; Zhang M; Yu MX; Wang HL; Zhao Q; Liu J
    Biomed Pharmacother; 2019 Mar; 111():1234-1242. PubMed ID: 30841437
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Potential Prognostic Predictors and Molecular Targets for Skin Melanoma Screened by Weighted Gene Co-expression Network Analysis.
    Chen S; Liu Z; Li M; Huang Y; Wang M; Zeng W; Wei W; Zhang C; Gong Y; Guo L
    Curr Gene Ther; 2020; 20(1):5-14. PubMed ID: 32416689
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Weighted correlation network and differential expression analyses identify candidate genes associated with BRAF gene in melanoma.
    Zhao B; You Y; Wan Z; Ma Y; Huo Y; Liu H; Zhou Y; Quan W; Chen W; Zhang X; Li F; Zhao Y
    BMC Med Genet; 2019 Mar; 20(1):54. PubMed ID: 30925905
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Co-expression modules construction by WGCNA and identify potential prognostic markers of uveal melanoma.
    Wan Q; Tang J; Han Y; Wang D
    Exp Eye Res; 2018 Jan; 166():13-20. PubMed ID: 29031853
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. AKT1 as the PageRank hub gene is associated with melanoma and its functional annotation is highly related to the estrogen signaling pathway that may regulate the growth of melanoma.
    Zhao J; Zeng X; Song P; Wu X; Shi H
    Oncol Rep; 2016 Oct; 36(4):2087-93. PubMed ID: 27573172
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of Keratinocyte Differentiation-Involved Genes for Metastatic Melanoma by Gene Expression Profiles.
    Li K; Guo S; Tong S; Sun Q; Jin S; Qi B; Shao Y; Xu N
    Comput Math Methods Med; 2021; 2021():9652768. PubMed ID: 35003328
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Transcriptional Markers and microRNA-mRNA Regulatory Networks in Colon Cancer by Integrative Analysis of mRNA and microRNA Expression Profiles in Colon Tumor Stroma.
    Uddin MN; Li M; Wang X
    Cells; 2019 Sep; 8(9):. PubMed ID: 31500382
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Key candidate genes of STAT1 and CXCL10 in melanoma identified by integrated bioinformatical analysis.
    Huang L; Chen J; Zhao Y; Gu L; Shao X; Li J; Xu Y; Liu Z; Xu Q
    IUBMB Life; 2019 Oct; 71(10):1634-1644. PubMed ID: 31216116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cell cycle gene networks are associated with melanoma prognosis.
    Wang L; Hurley DG; Watkins W; Araki H; Tamada Y; Muthukaruppan A; Ranjard L; Derkac E; Imoto S; Miyano S; Crampin EJ; Print CG
    PLoS One; 2012; 7(4):e34247. PubMed ID: 22536322
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying novel candidate biomarkers of RCC based on WGCNA analysis.
    Deng J; Kong W; Mou X; Wang S; Zeng W
    Per Med; 2018 Sep; 15(5):381-394. PubMed ID: 30259787
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Weighted gene co-expression network analysis reveals key genes involved in pancreatic ductal adenocarcinoma development.
    Giulietti M; Occhipinti G; Principato G; Piva F
    Cell Oncol (Dordr); 2016 Aug; 39(4):379-88. PubMed ID: 27240826
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.
    Wang H; Liu J; Li J; Zang D; Wang X; Chen Y; Gu T; Su W; Song N
    Cancer Genet; 2020 Apr; 242():1-7. PubMed ID: 32036224
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Common Nevus and Skin Cutaneous Melanoma: Prognostic Genes Identified by Gene Co-Expression Network Analysis.
    Yang L; Xu Y; Yan Y; Luo P; Chen S; Zheng B; Yan W; Chen Y; Wang C
    Genes (Basel); 2019 Sep; 10(10):. PubMed ID: 31557882
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A multigene support vector machine predictor for metastasis of cutaneous melanoma.
    Wei D
    Mol Med Rep; 2018 Feb; 17(2):2907-2914. PubMed ID: 29257259
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Disturbed protein-protein interaction networks in metastatic melanoma are associated with worse prognosis and increased functional mutation burden.
    Schramm SJ; Li SS; Jayaswal V; Fung DC; Campain AE; Pang CN; Scolyer RA; Yang YH; Mann GJ; Wilkins MR
    Pigment Cell Melanoma Res; 2013 Sep; 26(5):708-22. PubMed ID: 23738911
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of key genes associated with papillary thyroid microcarcinoma characteristics by integrating transcriptome sequencing and weighted gene co-expression network analysis.
    Yang F; Lian M; Ma H; Feng L; Shen X; Chen J; Fang J
    Gene; 2022 Feb; 811():146086. PubMed ID: 34856364
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
    Liu J; Jing L; Tu X
    BMC Cardiovasc Disord; 2016 Mar; 16():54. PubMed ID: 26944061
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.