BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 34387764)

  • 1. Integrated Bioinformatics Analysis of DNA Methylation Biomarkers in Thyroid Cancer Based on TCGA Database.
    Zhao L; Jia Y; Liu Y; Han B; Wang J; Jiang X
    Biochem Genet; 2022 Apr; 60(2):629-639. PubMed ID: 34387764
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
    Zhang X; Feng H; Li D; Liu S; Amizuka N; Li M
    Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29875348
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Identification of key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation data.
    Xu N; Wu YP; Ke ZB; Liang YC; Cai H; Su WT; Tao X; Chen SH; Zheng QS; Wei Y; Xue XY
    J Transl Med; 2019 Sep; 17(1):311. PubMed ID: 31533842
    [TBL] [Abstract][Full Text] [Related]  

  • 8. KRT15, INHBA, MATN3, and AGT are aberrantly methylated and differentially expressed in gastric cancer and associated with prognosis.
    Zhang C; Liang Y; Ma MH; Wu KZ; Dai DQ
    Pathol Res Pract; 2019 May; 215(5):893-899. PubMed ID: 30718100
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. DNA methylation biomarkers for hepatocellular carcinoma.
    Fan G; Tu Y; Chen C; Sun H; Wan C; Cai X
    Cancer Cell Int; 2018; 18():140. PubMed ID: 30245591
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
    Wu J; Zhang Y; Li M
    J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. DNA methylation biomarkers for head and neck squamous cell carcinoma.
    Zhou C; Ye M; Ni S; Li Q; Ye D; Li J; Shen Z; Deng H
    Epigenetics; 2018; 13(4):398-409. PubMed ID: 29927694
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of TNIK as a novel potential drug target in thyroid cancer based on protein druggability prediction.
    Yang YF; Yu B; Zhang XX; Zhu YH
    Medicine (Baltimore); 2021 Apr; 100(16):e25541. PubMed ID: 33879700
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact of mutations in DNA methylation modification genes on genome-wide methylation landscapes and downstream gene activations in pan-cancer.
    Lee CJ; Ahn H; Jeong D; Pak M; Moon JH; Kim S
    BMC Med Genomics; 2020 Feb; 13(Suppl 3):27. PubMed ID: 32093698
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics.
    Wu K; Yin X; Jin Y; Liu F; Gao J
    Cancer Cell Int; 2019; 19():51. PubMed ID: 30872976
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.