BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 35491469)

  • 41. Bioinformatics Analysis Highlights Five Differentially Expressed Genes as Prognostic Biomarkers of Cervical Cancer and Novel Option for Anticancer Treatment.
    Cui H; Ma R; Hu T; Xiao GG; Wu C
    Front Cell Infect Microbiol; 2022; 12():926348. PubMed ID: 35782114
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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]  

  • 43. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
    Shang M; Zhang L; Chen X; Zheng S
    Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
    Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
    World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
    [TBL] [Abstract][Full Text] [Related]  

  • 45. 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]  

  • 46. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
    Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
    BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.
    Yang W; Zhou W; Zhao X; Wang X; Duan L; Li Y; Niu L; Chen J; Zhang Y; Han Y; Fan D; Hong L
    Hereditas; 2021 Apr; 158(1):15. PubMed ID: 33892811
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
    Zhang YY; Mao MH; Han ZX
    Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Analysis and identification of novel biomarkers involved in neuroblastoma via integrated bioinformatics.
    Chen B; Ding P; Hua Z; Qin X; Li Z
    Invest New Drugs; 2021 Feb; 39(1):52-65. PubMed ID: 32772341
    [TBL] [Abstract][Full Text] [Related]  

  • 51. 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]  

  • 52. 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]  

  • 53. Screening of potential biomarkers for cholangiocarcinoma by integrated analysis of microarray data sets.
    Huang QX; Cui JY; Ma H; Jia XM; Huang FL; Jiang LX
    Cancer Gene Ther; 2016; 23(2-3):48-53. PubMed ID: 26679756
    [TBL] [Abstract][Full Text] [Related]  

  • 54. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
    Yang Q; Yu B; Sun J
    Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
    [TBL] [Abstract][Full Text] [Related]  

  • 55. 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]  

  • 56. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools.
    Zhang X; Wang Z; Hu L; Shen X; Liu C
    Biomed Res Int; 2021; 2021():1759214. PubMed ID: 34931168
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.
    Ma X; Liu J; Wang H; Jiang Y; Wan Y; Xia Y; Cheng W
    Biosci Rep; 2020 May; 40(5):. PubMed ID: 32368784
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
    Li N; Zhao X; You S
    Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
    Ding Y; Liu P; Zhang S; Tao L; Han J
    Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
    [TBL] [Abstract][Full Text] [Related]  

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