These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Journal Abstract Search


1044 related items for PubMed ID: 32714975

  • 1. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
    Zhang L, Chen J, Cheng T, Yang H, Pan C, Li H.
    Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
    [Abstract] [Full Text] [Related]

  • 2. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X, Huang G, Ma Q, Liao H, Liu C, Pu W, Xu L, Cai Y, Guo X.
    Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
    [Abstract] [Full Text] [Related]

  • 3.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 4. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
    Han BA, Yang XP, Hosseini DK, Zhang P, Zhang Y, Yu JT, Chen S, Zhang F, Zhou T, Sun HY.
    Sci Rep; 2020 Jun 16; 10(1):9735. PubMed ID: 32546690
    [Abstract] [Full Text] [Related]

  • 5. A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma.
    Wu K, Zhang C, Zhang C, Dai D.
    Biomed Res Int; 2020 Jun 16; 2020():5973082. PubMed ID: 32104700
    [Abstract] [Full Text] [Related]

  • 6. Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma.
    Sang C, Chao C, Wang M, Zhang Y, Luo G, Zhang X.
    Aging (Albany NY); 2020 May 15; 12(10):9807-9824. PubMed ID: 32412911
    [Abstract] [Full Text] [Related]

  • 7. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
    Mou T, Zhu D, Wei X, Li T, Zheng D, Pu J, Guo Z, Wu Z.
    World J Surg Oncol; 2017 Mar 16; 15(1):63. PubMed ID: 28302149
    [Abstract] [Full Text] [Related]

  • 8. Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.
    Amiri-Dashatan N, Koushki M, Jalilian A, Ahmadi NA, Rezaei-Tavirani M.
    Asian Pac J Cancer Prev; 2020 Jun 29; 21(6):1841-1848. PubMed ID: 32597160
    [Abstract] [Full Text] [Related]

  • 9. 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 21; 26():e921815. PubMed ID: 32435051
    [Abstract] [Full Text] [Related]

  • 10. Identification of miRNAs and genes for predicting Barrett's esophagus progressing to esophageal adenocarcinoma using miRNA-mRNA integrated analysis.
    Yao C, Li Y, Luo L, Xiong Q, Zhong X, Xie F, Feng P.
    PLoS One; 2021 May 21; 16(11):e0260353. PubMed ID: 34818353
    [Abstract] [Full Text] [Related]

  • 11. 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 21; 22(1):299. PubMed ID: 35313857
    [Abstract] [Full Text] [Related]

  • 12. Integrated Microarray to Identify the Hub miRNAs and Constructed miRNA-mRNA Network in Neuroblastoma Via Bioinformatics Analysis.
    Chen B, Hua Z, Qin X, Li Z.
    Neurochem Res; 2021 Feb 21; 46(2):197-212. PubMed ID: 33104965
    [Abstract] [Full Text] [Related]

  • 13. Identification of molecular targets for esophageal carcinoma diagnosis using miRNA-seq and RNA-seq data from The Cancer Genome Atlas: a study of 187 cases.
    Zeng JH, Xiong DD, Pang YY, Zhang Y, Tang RX, Luo DZ, Chen G.
    Oncotarget; 2017 May 30; 8(22):35681-35699. PubMed ID: 28415685
    [Abstract] [Full Text] [Related]

  • 14. 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 16; 20(1):329. PubMed ID: 32299382
    [Abstract] [Full Text] [Related]

  • 15. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
    Zhang H, Zhong J, Tu Y, Liu B, Chen Z, Luo Y, Tang Y, Xiao F, Zhong J.
    Biomed Res Int; 2019 Apr 16; 2019():2615921. PubMed ID: 31950035
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
    Chen FF, Zhang SR, Peng H, Chen YZ, Cui XB.
    Mol Med Rep; 2019 Oct 16; 20(4):3649-3660. PubMed ID: 31485619
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
    Zhou R, Liu D, Zhu J, Zhang T.
    Medicine (Baltimore); 2020 Oct 16; 99(42):e22434. PubMed ID: 33080677
    [Abstract] [Full Text] [Related]


    Page: [Next] [New Search]
    of 53.