BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

365 related articles for article (PubMed ID: 29266838)

  • 1. Identification of differential protein-coding gene expressions in early phase lung adenocarcinoma.
    Zhou LN; Li SC; Li XY; Ge H; Li HM
    Thorac Cancer; 2018 Feb; 9(2):234-240. PubMed ID: 29266838
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comprehensive analysis of candidate genes and pathways in pancreatic cancer.
    Liu J; Li J; Li H; Li A; Liu B; Han L
    Tumour Biol; 2015 Mar; 36(3):1849-57. PubMed ID: 25409614
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
    Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
    World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. DNA methylation-based diagnostic and prognostic biomarkers of nonsmoking lung adenocarcinoma patients.
    Zhang X; Gao C; Liu L; Zhou C; Liu C; Li J; Zhuang J; Sun C
    J Cell Biochem; 2019 Aug; 120(8):13520-13530. PubMed ID: 30920015
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of differentially expressed genes and enriched pathways in lung cancer using bioinformatics analysis.
    Long T; Liu Z; Zhou X; Yu S; Tian H; Bao Y
    Mol Med Rep; 2019 Mar; 19(3):2029-2040. PubMed ID: 30664219
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identification of stage-specific biomarkers in lung adenocarcinoma based on RNA-seq data.
    Liang J; Lv J; Liu Z
    Tumour Biol; 2015 Aug; 36(8):6391-9. PubMed ID: 25861020
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
    Qiu J; Sun M; Wang Y; Chen B
    Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.