BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

365 related articles for article (PubMed ID: 28000901)

  • 21. Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis.
    Qu T; Li YP; Li XH; Chen Y
    Mol Med Rep; 2016 Dec; 14(6):5041-5048. PubMed ID: 27779685
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identification of key genes associated with colorectal cancer based on the transcriptional network.
    Chen G; Li H; Niu X; Li G; Han N; Li X; Li G; Liu Y; Sun G; Wang Y; Li Z; Li Q
    Pathol Oncol Res; 2015 Jul; 21(3):719-25. PubMed ID: 25613817
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
    Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
    Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Screening for genes and subnetworks associated with pancreatic cancer based on the gene expression profile.
    Long J; Liu Z; Wu X; Xu Y; Ge C
    Mol Med Rep; 2016 May; 13(5):3779-86. PubMed ID: 27035224
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Profiles of differentially expressed genes and overexpression of NEBL indicates a positive prognosis in patients with colorectal cancer.
    Qiu X; Feng JR; Wang F; Chen PF; Chen XX; Zhou R; Chang Y; Liu J; Zhao Q
    Mol Med Rep; 2018 Feb; 17(2):3028-3034. PubMed ID: 29257257
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Screening of hub genes and pathways in colorectal cancer with microarray technology.
    Wang Y; Zheng T
    Pathol Oncol Res; 2014 Jul; 20(3):611-8. PubMed ID: 24504536
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
    Huang Z; Yang Q; Huang Z
    Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.
    Wang J; Tian Y; Chen H; Li H; Zheng S
    Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Microarray data analysis of neuroblastoma: Expression of SOX2 downregulates the expression of MYCN.
    Bao J; Qin L; Cui L; Wang X; Meng Q; Zhu L; Zhang S
    Mol Med Rep; 2015 Nov; 12(5):6867-72. PubMed ID: 26398570
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
    Fang E; Zhang X; Wang Q; Wang D
    Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
    Wang Y; Zhang Y; Huang Q; Li C
    Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Involvement of enhancer of zeste homolog 2 in cisplatin-resistance in ovarian cancer cells by interacting with several genes.
    Wang H; Yu Y; Chen C; Wang Q; Huang T; Hong F; Zhu L
    Mol Med Rep; 2015 Aug; 12(2):2503-10. PubMed ID: 25955318
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
    Wu D; Li Q; Song G; Lu J
    J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Gene expression profiling of epithelial ovarian cancer reveals key genes and pathways associated with chemotherapy resistance.
    Zhang M; Luo SC
    Genet Mol Res; 2016 Jan; 15(1):. PubMed ID: 26909918
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.
    Luo T; Wu S; Shen X; Li L
    Mol Biol Rep; 2013 Dec; 40(12):6561-8. PubMed ID: 24197691
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.
    Yao Z; Pan X; Chen W; Pei Y; Chen C; Huang Y; Liu S; Liu Y
    Biomed Res Int; 2022; 2022():3149887. PubMed ID: 35845924
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Functional and protein‑protein interaction network analysis of colorectal cancer induced by ulcerative colitis.
    Dai Y; Jiang JB; Wang YL; Jin ZT; Hu SY
    Mol Med Rep; 2015 Oct; 12(4):4947-58. PubMed ID: 26239378
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
    Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
    Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
    Lu C; Chen H; Shan Z; Yang L
    Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.