BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

346 related articles for article (PubMed ID: 28934958)

  • 1. Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma.
    Guan D; Tian H
    World J Surg Oncol; 2017 Sep; 15(1):177. PubMed ID: 28934958
    [TBL] [Abstract][Full Text] [Related]  

  • 2.
    Li S; Wu X; Pei Y; Wang W; Zheng K; Qiu E; Zhang X
    DNA Cell Biol; 2019 Nov; 38(11):1323-1337. PubMed ID: 31536386
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Transcriptomic analyses reveal the underlying pro-malignant functions of PTHR1 for osteosarcoma via activation of Wnt and angiogenesis pathways.
    Li S; Dong Y; Wang K; Wang Z; Zhang X
    J Orthop Surg Res; 2017 Nov; 12(1):168. PubMed ID: 29121993
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Investigation of mechanisms of mesenchymal stem cells for treatment of diabetic nephropathy via construction of a miRNA-TF-mRNA network.
    Yang H; Zhang X; Xin G
    Ren Fail; 2018 Nov; 40(1):136-145. PubMed ID: 29532746
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Crucial genes associated with diabetic nephropathy explored by microarray analysis.
    Wang Z; Wang Z; Zhou Z; Ren Y
    BMC Nephrol; 2016 Sep; 17(1):128. PubMed ID: 27613243
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
    Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
    Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening for metastatic osteosarcoma biomarkers with a DNA microarray.
    Diao CY; Guo HB; Ouyang YR; Zhang HC; Liu LH; Bu J; Wang ZH; Xiao T
    Asian Pac J Cancer Prev; 2014; 15(4):1817-22. PubMed ID: 24641415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Molecular characterization of metastatic osteosarcoma: Differentially expressed genes, transcription factors and microRNAs.
    Heng L; Jia Z; Bai J; Zhang K; Zhu Y; Ma J; Zhang J; Duan H
    Mol Med Rep; 2017 May; 15(5):2829-2836. PubMed ID: 28260111
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Logistic regression analysis for the identification of the metastasis-associated signaling pathways of osteosarcoma.
    Liu Y; Sun W; Ma X; Hao Y; Liu G; Hu X; Shang H; Wu P; Zhao Z; Liu W
    Int J Mol Med; 2018 Mar; 41(3):1233-1244. PubMed ID: 29328361
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated network analysis to identify the key genes, transcription factors, and microRNAs involved in hepatocellular carcinoma.
    Shi SQ; Ke JJ; Xu QS; Wu WQ; Wan YY
    Neoplasma; 2018; 65(1):66-74. PubMed ID: 29322790
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Regulatory network of differentially expressed genes in metastatic osteosarcoma.
    Yao P; Wang ZB; Ding YY; Ma JM; Hong T; Pan SN; Zhang J
    Mol Med Rep; 2015 Mar; 11(3):2104-10. PubMed ID: 25434727
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Knockdown of PTHR1 in osteosarcoma cells decreases invasion and growth and increases tumor differentiation in vivo.
    Ho PW; Goradia A; Russell MR; Chalk AM; Milley KM; Baker EK; Danks JA; Slavin JL; Walia M; Crimeen-Irwin B; Dickins RA; Martin TJ; Walkley CR
    Oncogene; 2015 May; 34(22):2922-33. PubMed ID: 25043296
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
    Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
    Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
    [TBL] [Abstract][Full Text] [Related]  

  • 18. miR‑148 family members are putative biomarkers for sepsis.
    Dong L; Li H; Zhang S; Yang G
    Mol Med Rep; 2019 Jun; 19(6):5133-5141. PubMed ID: 31059023
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Key Genes Affecting Results of Hyperthermia in Osteosarcoma Based on Integrative ChIP-Seq/TargetScan Analysis.
    Shi Y; Yang F; Wei S; Xu G
    Med Sci Monit; 2017 Apr; 23():2042-2048. PubMed ID: 28453502
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
    Li T; Gao X; Han L; Yu J; Li H
    World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.