BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 38053725)

  • 21. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Construction of the miRNA-mRNA regulatory network and analysis of hub genes in oral squamous cell carcinoma.
    Cui Z; Song Q; Chen Y; Yang K
    Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2022 Sep; 166(3):280-289. PubMed ID: 35132271
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
    Wu J; Lv Q; Huang H; Zhu M; Meng D
    Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
    [No Abstract]   [Full Text] [Related]  

  • 24. Screening and verifying key genes with poor prognosis in colon cancer through bioinformatics analysis.
    Dong B; Chai M; Chen H; Feng Q; Jin R; Hu S
    Transl Cancer Res; 2020 Nov; 9(11):6720-6732. PubMed ID: 35117282
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Differentially Expressed Genes in Nasopharyngeal Carcinoma Tissues and Their Correlation with Recurrence and Metastasis of Nasopharyngeal Carcinoma.
    Yue H; Zhu H; Luo D; Du Q; Xie Y; Huang S; Liu W
    Comput Math Methods Med; 2022; 2022():1941412. PubMed ID: 35509856
    [TBL] [Abstract][Full Text] [Related]  

  • 26. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
    Yang WX; Pan YY; You CG
    Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
    Dong S; Men W; Yang S; Xu S
    Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
    Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
    Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.
    Meng Z; Wu J; Liu X; Zhou W; Ni M; Liu S; Guo S; Jia S; Zhang J
    J Int Med Res; 2020 Jul; 48(7):300060520910019. PubMed ID: 32722976
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
    Deng JL; Xu YH; Wang G
    Front Genet; 2019; 10():695. PubMed ID: 31428132
    [No Abstract]   [Full Text] [Related]  

  • 31. Screening and Identification of Potential Prognostic Biomarkers in Adrenocortical Carcinoma.
    Xu WH; Wu J; Wang J; Wan FN; Wang HK; Cao DL; Qu YY; Zhang HL; Ye DW
    Front Genet; 2019; 10():821. PubMed ID: 31572440
    [No Abstract]   [Full Text] [Related]  

  • 32. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis.
    Wu X; Peng L; Zhang Y; Chen S; Lei Q; Li G; Zhang C
    Int J Med Sci; 2019; 16(6):800-812. PubMed ID: 31337953
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
    Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
    Front Genet; 2021; 12():571231. PubMed ID: 33767726
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.
    Zhou W; Yin M; Cui H; Wang N; Zhao LL; Yuan LZ; Yang XP; Ding XM; Men FZ; Ma X; Na JR
    Eur Rev Med Pharmacol Sci; 2015 Sep; 19(18):3375-84. PubMed ID: 26439031
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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; 10(1):9735. PubMed ID: 32546690
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
    Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
    PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
    Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
    J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multi-genomic analysis of 260 adrenocortical cancer patient tumors identifies novel network BIRC5-hsa-miR-335-5p-PAX8-AS1 strongly associated with poor survival.
    Subramanian C; McCallister R; Cohen MS
    Surgery; 2023 Jan; 173(1):43-51. PubMed ID: 36202651
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.