BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

955 related articles for article (PubMed ID: 32271791)

  • 1. DNA methylation biomarkers for nasopharyngeal carcinoma.
    Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
    PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
    Sang L; Wang XM; Xu DY; Zhao WJ
    World J Gastroenterol; 2018 Jun; 24(24):2605-2616. PubMed ID: 29962817
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of methylated genes and miRNA signatures in nasopharyngeal carcinoma by bioinformatics analysis.
    Wang Y; Zhao Q; Lan N; Wang S
    Mol Med Rep; 2018 Apr; 17(4):4909-4916. PubMed ID: 29393436
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DNA methylation-based diagnostic and prognostic biomarkers of nasopharyngeal carcinoma patients.
    Wu ZH; Zhou T; Sun HY
    Medicine (Baltimore); 2020 Jun; 99(24):e20682. PubMed ID: 32541515
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Potential Therapeutic Gene Markers in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.
    Xue K; Cao J; Wang Y; Zhao X; Yu D; Jin C; Xu C
    Clin Transl Sci; 2020 Mar; 13(2):265-274. PubMed ID: 31863646
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
    Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
    World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
    Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
    J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
    Li H; Liu JW; Liu S; Yuan Y; Sun LP
    Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Whole exome sequencing and transcriptome-wide profiling identify potentially subtype-relevant genes of nasopharyngeal carcinoma.
    Liu J; Li X; Yang S; Mou J; Lu H
    Pathol Res Pract; 2020 Dec; 216(12):153244. PubMed ID: 33113455
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Comprehensive analysis of gene expression and DNA methylation for human nasopharyngeal carcinoma.
    Li H; Wang FL; Shan LP; An J; Liu ML; Li W; Zhang JE; Wu PP
    Eur Arch Otorhinolaryngol; 2019 Sep; 276(9):2565-2576. PubMed ID: 31240455
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of candidate genes of nasopharyngeal carcinoma by bioinformatical analysis.
    Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Fu Z
    Arch Oral Biol; 2019 Oct; 106():104478. PubMed ID: 31319350
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.
    Liu J; Li H; Sun L; Wang Z; Xing C; Yuan Y
    Cancer Cell Int; 2017; 17():75. PubMed ID: 28794688
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identification of aberrantly methylated differentially expressed genes in breast cancer by integrated bioinformatics analysis.
    Yi L; Luo P; Zhang J
    J Cell Biochem; 2019 Sep; 120(9):16229-16243. PubMed ID: 31081184
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening and identification of key biomarkers in nasopharyngeal carcinoma: Evidence from bioinformatic analysis.
    Zhang JZ; Wu ZH; Cheng Q
    Medicine (Baltimore); 2019 Nov; 98(48):e17997. PubMed ID: 31770211
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying key genes and small molecule compounds for nasopharyngeal carcinoma by various bioinformatic analysis.
    Fang L; Shi L; Wang W; Chen Q; Rao X
    Medicine (Baltimore); 2021 Sep; 100(37):e27257. PubMed ID: 34664875
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Screening Key Genes and Biological Pathways in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis.
    Tai J; Park J; Han M; Kim TH
    Int J Mol Sci; 2022 Dec; 23(24):. PubMed ID: 36555343
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 48.