BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

228 related articles for article (PubMed ID: 25023069)

  • 1. Meta-analysis of differentially expressed genes in osteosarcoma based on gene expression data.
    Yang Z; Chen Y; Fu Y; Yang Y; Zhang Y; Chen Y; Li D
    BMC Med Genet; 2014 Jul; 15():80. PubMed ID: 25023069
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CENPE, PRC1, TTK, and PLK4 May Play Crucial Roles in the Osteosarcoma Progression.
    Wang F; Zhao Q; Liu W; Kong D
    Technol Cancer Res Treat; 2020; 19():1533033820973278. PubMed ID: 33176597
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of hub genes related to metastasis and prognosis of osteosarcoma and establishment of a prognostic model with bioinformatic methods.
    Fu Z; Sun G; Li J; Yu H
    Medicine (Baltimore); 2024 Jun; 103(23):e38470. PubMed ID: 38847690
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of CD20, ECM, and ITGA as Biomarkers for Osteosarcoma by Integrating Transcriptome Analysis.
    Wang DW; Yu SY; Cao Y; Yang L; Liu W; Er XQ; Yao GJ; Bi ZG
    Med Sci Monit; 2016 Jun; 22():2075-85. PubMed ID: 27314445
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Expression of miR‑542‑3p in osteosarcoma with miRNA microarray data, and its potential signaling pathways.
    Li Z; Yao JN; Huang WT; He RQ; Ma J; Chen G; Wei QJ
    Mol Med Rep; 2019 Feb; 19(2):974-983. PubMed ID: 30569116
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 7. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
    Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
    J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of key candidate genes and biological pathways in neuropathic pain.
    Cui CY; Liu X; Peng MH; Liu Q; Zhang Y
    Comput Biol Med; 2022 Nov; 150():106135. PubMed ID: 36166989
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of hub genes specific to pulmonary metastasis in osteosarcoma through integrated bioinformatics analysis.
    Chai Y; Xu L; He R; Zhong L; Wang Y
    Technol Health Care; 2022; 30(3):735-745. PubMed ID: 34542049
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Key Genes and miRNAs in Osteosarcoma Patients with Chemoresistance by Bioinformatics Analysis.
    Xie B; Li Y; Zhao R; Xu Y; Wu Y; Wang J; Xia D; Han W; Chen D
    Biomed Res Int; 2018; 2018():4761064. PubMed ID: 29850522
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Pathogenic Genes and Transcription Factors in Osteosarcoma.
    Yang C; Huang D; Ma C; Ren J; Fu L; Cheng C; Li B; Shi X
    Pathol Oncol Res; 2020 Apr; 26(2):1041-1048. PubMed ID: 30982140
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.
    Chen X; Zhang N; Zheng Y; Tong Z; Yang T; Kang X; He Y; Dong L
    Comput Math Methods Med; 2022; 2022():7549894. PubMed ID: 35075370
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
    Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
    Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Xu Z; Jiang P; He S
    Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
    Yu-Jing T; Wen-Jing T; Biao T
    Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.