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Journal Abstract Search

252 related items for PubMed ID: 26498375

  • 1. Five miRNAs Considered as Molecular Targets for Predicting Esophageal Cancer.
    Zhao JY, Wang F, Li Y, Zhang XB, Yang L, Wang W, Xu H, Liu DZ, Zhang LY.
    Med Sci Monit; 2015 Oct 24; 21():3222-30. PubMed ID: 26498375
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  • 2. Five miRNAs considered as molecular targets for predicting neuroglioma.
    Yang H, Wang Y.
    Tumour Biol; 2016 Jan 24; 37(1):1051-9. PubMed ID: 26269115
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  • 4. 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 Jan 24; 2020():1980921. PubMed ID: 32714975
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  • 7. 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
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  • 10. 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 30; 47(1):78-85. PubMed ID: 29032608
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  • 11. 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
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  • 12. 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 05; 642():205-211. PubMed ID: 29128636
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  • 15. [Expression profiles of microRNAs in radioresistant esophageal cell line].
    Zheng ZF, Su HF, Zou Y, Peng Z, Wu SX.
    Zhonghua Yi Xue Za Zhi; 2011 Mar 08; 91(9):639-42. PubMed ID: 21600139
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  • 16. MicroRNA expression data analysis to identify key miRNAs associated with Alzheimer's disease.
    Chen J, Qi Y, Liu CF, Lu JM, Shi J, Shi Y.
    J Gene Med; 2018 Jun 08; 20(6):e3014. PubMed ID: 29543360
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  • 17. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
    Zhang C, Zhang CD, Ma MH, Dai DQ.
    World J Gastroenterol; 2018 Mar 21; 24(11):1206-1215. PubMed ID: 29568201
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  • 18. Epigenetic regulation on the gene expression signature in esophagus adenocarcinoma.
    Xi T, Zhang G.
    Pathol Res Pract; 2017 Feb 21; 213(2):83-88. PubMed ID: 28049580
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  • 20. MicroRNA network analysis identifies key microRNAs and genes associated with precancerous lesions of gastric cancer.
    Wang XW, Wu Y, Wang D, Qin ZF.
    Genet Mol Res; 2014 Oct 27; 13(4):8695-703. PubMed ID: 25366760
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