BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 32832554)

  • 1. Identification of a Transcription Factor-microRNA-Gene Coregulation Network in Meningioma through a Bioinformatic Analysis.
    Wang J; Liang Y; Yang H; Wu JH
    Biomed Res Int; 2020; 2020():6353814. PubMed ID: 32832554
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MicroRNA profiling reveals dysregulated microRNAs and their target gene regulatory networks in cemento-ossifying fibroma.
    Pereira TDSF; Brito JAR; Guimarães ALS; Gomes CC; de Lacerda JCT; de Castro WH; Coimbra RS; Diniz MG; Gomez RS
    J Oral Pathol Med; 2018 Jan; 47(1):78-85. PubMed ID: 29032608
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
    Jin X; Guan Y; Zhang Z; Wang H
    BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Construction of microRNA-messenger networks for human osteosarcoma.
    Ma G; Zhang C; Luo W; Zhao JL; Wang X; Qian Y
    J Cell Physiol; 2019 Aug; 234(8):14145-14153. PubMed ID: 30666640
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of miRNA/mRNA-Negative Regulation Pairs in Nasopharyngeal Carcinoma.
    Liu M; Zhu K; Qian X; Li W
    Med Sci Monit; 2016 Jun; 22():2215-34. PubMed ID: 27350400
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Simultaneous analysis of miRNA-mRNA in human meningiomas by integrating transcriptome: A relationship between PTX3 and miR-29c.
    Dalan AB; Gulluoglu S; Tuysuz EC; Kuskucu A; Yaltirik CK; Ozturk O; Ture U; Bayrak OF
    BMC Cancer; 2017 Mar; 17(1):207. PubMed ID: 28327132
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of key microRNAs associated with diffuse large B-cell lymphoma by analyzing serum microRNA expressions.
    Meng Y; Quan L; Liu A
    Gene; 2018 Feb; 642():205-211. PubMed ID: 29128636
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatic analysis of a microRNA regulatory network in Huntington's disease.
    Wang ZM; Dong XY; Cong SY
    J Integr Neurosci; 2020 Dec; 19(4):641-650. PubMed ID: 33378838
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of miRNA-mRNA crosstalk in pancreatic cancer by integrating transcriptome analysis.
    Yang J; Zeng Y
    Eur Rev Med Pharmacol Sci; 2015; 19(5):825-34. PubMed ID: 25807437
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatic analysis of peripheral blood miRNA of breast cancer patients in relation with anthracycline cardiotoxicity.
    Yadi W; Shurui C; Tong Z; Suxian C; Qing T; Dongning H
    BMC Cardiovasc Disord; 2020 Feb; 20(1):43. PubMed ID: 32013934
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of key miRNAs and mRNAs related to coronary artery disease by meta-analysis.
    Liu L; Zhang J; Wu M; Xu H
    BMC Cardiovasc Disord; 2021 Sep; 21(1):443. PubMed ID: 34530741
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Pivotal MicroRNAs and Target Genes Associated with Persistent Atrial Fibrillation Based on Bioinformatics Analysis.
    Xiao S; Zhou Y; Liu Q; Zhang T; Pan D
    Comput Math Methods Med; 2021; 2021():6680211. PubMed ID: 33747117
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigation of key miRNAs and target genes in bladder cancer using miRNA profiling and bioinformatic tools.
    Canturk KM; Ozdemir M; Can C; Öner S; Emre R; Aslan H; Cilingir O; Ciftci E; Celayir FM; Aldemir O; Özen M; Artan S
    Mol Biol Rep; 2014 Dec; 41(12):8127-35. PubMed ID: 25189652
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
    Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
    BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Construction of Potential miRNA-mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis.
    Zhu M; Ye M; Wang J; Ye L; Jin M
    Int J Chron Obstruct Pulmon Dis; 2020; 15():2135-2145. PubMed ID: 32982206
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key genes and pathways associated with resting mast cells in meningioma.
    Xie H; Yuan C; Ding XH; Li JJ; Li ZY; Lu WC
    BMC Cancer; 2021 Nov; 21(1):1209. PubMed ID: 34772393
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
    Li Y; Li L
    J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
    Qin X; Song Y
    Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
    [TBL] [Abstract][Full Text] [Related]  

  • 19. miRNA and mRNA Integration Network Construction Reveals Novel Key Regulators in Left-Sided and Right-Sided Colon Adenocarcinoma.
    Yang L; Li L; Ma J; Yang S; Zou C; Yu X
    Biomed Res Int; 2019; 2019():7149296. PubMed ID: 31073530
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of the TF-miRNA-mRNA co-regulatory networks involved in sepsis.
    Luo X; Lu W; Zhao J; Hu J; Chen E; Fu S; Fu Q
    Funct Integr Genomics; 2022 Aug; 22(4):481-489. PubMed ID: 35322335
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.