BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 27347167)

  • 1. Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray.
    Liu MY; Zhang H; Hu YJ; Chen YW; Zhao XN
    Oncol Lett; 2016 Jul; 12(1):473-478. PubMed ID: 27347167
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated analysis of genome‑wide gene expression and DNA methylation microarray of diffuse large B‑cell lymphoma with TET mutations.
    Liu P; Jiang W; Zhao J; Zhang H
    Mol Med Rep; 2017 Oct; 16(4):3777-3782. PubMed ID: 28731140
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genome-wide analysis of aberrant gene expression and methylation profiles reveals susceptibility genes and underlying mechanism of cervical cancer.
    Lin H; Ma Y; Wei Y; Shang H
    Eur J Obstet Gynecol Reprod Biol; 2016 Dec; 207():147-152. PubMed ID: 27863272
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Screening the key genes of hepatocellular adenoma via microarray analysis of DNA expression and methylation profiles.
    Liu D; Liu P; Cao L; Zhang Q; Chen Y
    Oncol Lett; 2017 Oct; 14(4):3975-3980. PubMed ID: 28943905
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
    Wang Z; Zhang Z; Zhang C; Xu Y
    Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma.
    Zhao C; Zou H; Zhang J; Wang J; Liu H
    Oncol Rep; 2018 Nov; 40(5):2637-2647. PubMed ID: 30226546
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of epigenetically altered genes and potential gene targets in melanoma using bioinformatic methods.
    Duan H; Jiang K; Wei D; Zhang L; Cheng D; Lv M; Xu Y; He A
    Onco Targets Ther; 2018; 11():9-15. PubMed ID: 29302192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of potentially critical differentially methylated genes in nasopharyngeal carcinoma: A comprehensive analysis of methylation profiling and gene expression profiling.
    Hui L; Zhang J; Ding X; Guo X; Jang X
    Oncol Lett; 2017 Dec; 14(6):7171-7178. PubMed ID: 29344148
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Methylation-mediated silencing of
    Zhu P; Li X; Liu Y; Xiong J; Yuan D; Chen Y; Luo L; Huang J; Wang B; Nie Q; Wang S; Dang L; Li S; Shu Y; Zhang W; Zhou H; Fan L; Li Q
    Front Oncol; 2023; 13():1010132. PubMed ID: 36824133
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of potential pathogenic candidates or diagnostic biomarkers in papillary thyroid carcinoma using expression and methylation profiles.
    Wei S; Yun X; Ruan X; Wei X; Zheng X; Gao M
    Oncol Lett; 2019 Dec; 18(6):6670-6678. PubMed ID: 31814850
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
    Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
    Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of molecular characteristics induced by radiotherapy in rectal cancer based on microarray data.
    Ge C; Wu M; Chen G; Yu G; Ji D; Wang S
    Oncol Lett; 2017 Apr; 13(4):2777-2783. PubMed ID: 28454466
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
    Shen J; Zhu B
    Mol Med Rep; 2018 Jun; 17(6):7636-7644. PubMed ID: 29620215
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of key genes associated with bladder cancer using gene expression profiles.
    Han Y; Jin X; Zhou H; Liu B
    Oncol Lett; 2018 Jan; 15(1):297-303. PubMed ID: 29375713
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.
    Wu K; Yi Y; Liu F; Wu W; Chen Y; Zhang W
    Oncol Lett; 2018 Jul; 16(1):1003-1009. PubMed ID: 29963176
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Molecular characterization of metastatic osteosarcoma: Differentially expressed genes, transcription factors and microRNAs.
    Heng L; Jia Z; Bai J; Zhang K; Zhu Y; Ma J; Zhang J; Duan H
    Mol Med Rep; 2017 May; 15(5):2829-2836. PubMed ID: 28260111
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.
    Chang D; Qian C; Li H; Feng H
    J Cell Biochem; 2019 Aug; 120(8):13001-13011. PubMed ID: 30861201
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of genes and signaling pathways associated with squamous cell carcinoma by bioinformatics analysis.
    Shen LI; Liu L; Yang Z; Jiang N
    Oncol Lett; 2016 Feb; 11(2):1382-1390. PubMed ID: 26893747
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.