BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1410 related articles for article (PubMed ID: 29240723)

  • 21. Differentially Expressed Gene Screening, Biological Function Enrichment, and Correlation with Prognosis in Non-Small Cell Lung Cancer.
    Huang H; Huang Q; Tang T; Zhou X; Gu L; Lu X; Liu F
    Med Sci Monit; 2019 Jun; 25():4333-4341. PubMed ID: 31181055
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.
    Shen Y; Liu J; Zhang L; Dong S; Zhang J; Liu Y; Zhou H; Dong W
    Biomed Res Int; 2019; 2019():7376034. PubMed ID: 31485443
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
    Liang B; Li C; Zhao J
    Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Profiling and bioinformatics analyses reveal differential expression of circular RNA in tongue cancer revealed by high-throughput sequencing.
    Qiu X; Ke X; Ma H; Han L; Chen Q; Zhang S; Da P; Wu H
    J Cell Biochem; 2019 Mar; 120(3):4102-4112. PubMed ID: 30269358
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
    Zhou Q; Hong L; Wang J
    Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
    Peng C; Ma W; Xia W; Zheng W
    Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
    Guo C; Li Z
    Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
    Lu C; Chen H; Shan Z; Yang L
    Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
    Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
    Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 35. 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]  

  • 36. Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus-Associated Hepatocellular Carcinoma.
    Chen X; Liao L; Li Y; Huang H; Huang Q; Deng S
    Biomed Res Int; 2020; 2020():7653506. PubMed ID: 33102593
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
    Zhang X; Yin S; Ma K
    J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
    Vastrad B; Vastrad C; Tengli A; Iliger S
    Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 71.