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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

553 related articles for article (PubMed ID: 29266838)

  • 21. Identification of miRNAs and differentially expressed genes in early phase non-small cell lung cancer.
    Tian W; Liu J; Pei B; Wang X; Guo Y; Yuan L
    Oncol Rep; 2016 Apr; 35(4):2171-6. PubMed ID: 26781349
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identification and validation of key genes associated with non-small-cell lung cancer.
    Ma Q; Xu Y; Liao H; Cai Y; Xu L; Xiao D; Liu C; Pu W; Zhong X; Guo X
    J Cell Physiol; 2019 Dec; 234(12):22742-22752. PubMed ID: 31127628
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Xu Z; Jiang P; He S
    Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
    Liu X; Liu X; Li J; Ren F
    Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 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; 2019():2615921. PubMed ID: 31950035
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y; Tian X
    Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.
    Wu X; Zhang W; Hu Y; Yi X
    Tumori; 2015; 101(3):281-6. PubMed ID: 26045113
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
    Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
    Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
    Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
    Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
    Ni KW; Sun GZ
    Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
    Li G; Cai L; Zhou L
    Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
    Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
    J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
    [TBL] [Abstract][Full Text] [Related]  

  • 34. POLE2 Serves as a Prognostic Biomarker and Is Associated with Immune Infiltration in Squamous Cell Lung Cancer.
    Wu Z; Wang YM; Dai Y; Chen LA
    Med Sci Monit; 2020 Apr; 26():e921430. PubMed ID: 32304567
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
    Zhang H; Huo J; Jiang W; Shan Q
    Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
    Zhang H; Liu J; Fu X; Yang A
    Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
    Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
    J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 28.