BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1188 related articles for article (PubMed ID: 28914394)

  • 1. 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]  

  • 2. 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]  

  • 3. Aberrantly methylated-differentially expressed genes and pathways in Epstein-Barr virus-associated gastric cancer.
    Jing JJ; Li H; Wang ZY; Zhou H; Sun LP; Yuan Y
    Future Oncol; 2020 Feb; 16(6):187-197. PubMed ID: 31989840
    [No Abstract]   [Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Aberrantly methylated-differentially expressed genes and related pathways in cholangiocarcinoma.
    Lin G; Xinhe Z; Haoyu T; Yiling L
    Medicine (Baltimore); 2022 Jun; 101(25):e29379. PubMed ID: 35758372
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 9. Integrated bioinformatics analysis of aberrantly-methylated differentially-expressed genes and pathways in age-related macular degeneration.
    Shen Y; Li M; Liu K; Xu X; Zhu S; Wang N; Guo W; Zhao Q; Lu P; Yu F; Xu X
    BMC Ophthalmol; 2020 Mar; 20(1):119. PubMed ID: 32209064
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
    Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
    Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of methylated-differentially expressed genes and pathways in esophageal squamous cell carcinoma.
    Sang L; Yu Z; Wang A; Li H; Dai X; Sun L; Liu H; Yuan Y
    Pathol Res Pract; 2020 Sep; 216(9):153050. PubMed ID: 32825936
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
    Zhang Y; Fang L; Zang Y; Xu Z
    Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Abnormal DNA methylation may contribute to the progression of osteosarcoma.
    Chen XG; Ma L; Xu JX
    Mol Med Rep; 2018 Jan; 17(1):193-199. PubMed ID: 29115427
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of differentially expressed genes regulated by methylation in colon cancer based on bioinformatics analysis.
    Liang Y; Zhang C; Dai DQ
    World J Gastroenterol; 2019 Jul; 25(26):3392-3407. PubMed ID: 31341364
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
    Li T; Gao X; Han L; Yu J; Li H
    World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Screening and Survival Analysis of Hub Genes in Gastric Cancer Based on Bioinformatics.
    Zheng S; Yang L; Dai Y; Jiang L; Wei Y; Wen H; Xu Y
    J Comput Biol; 2019 Nov; 26(11):1316-1325. PubMed ID: 31233344
    [No Abstract]   [Full Text] [Related]  

  • 20. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
    Li D; Yin Y; He M; Wang J
    Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 60.