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Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma

  • Authors:
    • Wei Zhang
    • Shuai Shang
    • Yingying Yang
    • Peiyao Lu
    • Teng Wang
    • Xinyi Cui
    • Xuexi Tang
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    Affiliations: Department of Marine Ecology, College of Marine Life Sciences, Ocean University of China, Qingdao, Shandong 266003, P.R. China
    Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2963-2972
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    Published online on: February 26, 2020
       https://doi.org/10.3892/etm.2020.8554
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Abstract

Pancreatic adenocarcinoma (PAAD) is a painful and fatal disease that undoubtedly remains a health care priority and offers significant therapeutic challenges. The significance of epigenetic modifications, including DNA methylation in tumor development, has gained the attention of researchers. Identifying DNA methylation‑driven genes and investigating the mechanisms underlying the tumorigenesis of PAAD are of substantial importance for developing methods of physiological evaluation, treatment planning and prognostic prediction for PAAD. In the present study, a comprehensive analysis of DNA methylation and gene expression data from 188 clinical samples was performed to identify DNA methylation‑driven genes in PAAD. In addition, the diagnostic and prognostic value of DNA methylation‑driven genes was evaluated using receiver operating characteristic curve, survival and recurrence analyses. A total of 7 DNA methylation‑driven genes, namely zinc finger protein 208 (ZNF208), eomesodermin (EOMES), prostaglandin D2 receptor (PTGDR), chromosome 12 open reading frame 42 (C12orf42), integrin subunit α 4 (ITGA4), dedicator of cytokinesis 8 and protein phosphatase 1 regulatory inhibitor subunit 14D (PPP1R14D), were identified. All of them may be used to diagnose PAAD with excellent specificity and sensitivity (area under curve, >0.8). Of the 7 DNA methylation‑driven genes, 6 were significantly associated with overall survival (OS) and recurrence‑free survival (RFS) P<0.05). Among them, ZNF208, EOMES, PTGDR, C12orf42 and ITGA4 were significantly negatively associated with the OS rate and positively associated with the recurrence rate, while PPP1R14D was significantly positively associated with the OS rate and negatively associated with the recurrence rate. The present study provides novel insight into the epigenetic alterations associated with the occurrence and progression of PAAD, thereby increasing the mechanistic understanding of this disease, offering potential novel molecular biomarkers and contributing to the development of therapeutic targets for PAAD.
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Zhang W, Shang S, Yang Y, Lu P, Wang T, Cui X and Tang X: Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma. Exp Ther Med 19: 2963-2972, 2020.
APA
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., & Tang, X. (2020). Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma. Experimental and Therapeutic Medicine, 19, 2963-2972. https://doi.org/10.3892/etm.2020.8554
MLA
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., Tang, X."Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma". Experimental and Therapeutic Medicine 19.4 (2020): 2963-2972.
Chicago
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., Tang, X."Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma". Experimental and Therapeutic Medicine 19, no. 4 (2020): 2963-2972. https://doi.org/10.3892/etm.2020.8554
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Spandidos Publications style
Zhang W, Shang S, Yang Y, Lu P, Wang T, Cui X and Tang X: Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma. Exp Ther Med 19: 2963-2972, 2020.
APA
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., & Tang, X. (2020). Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma. Experimental and Therapeutic Medicine, 19, 2963-2972. https://doi.org/10.3892/etm.2020.8554
MLA
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., Tang, X."Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma". Experimental and Therapeutic Medicine 19.4 (2020): 2963-2972.
Chicago
Zhang, W., Shang, S., Yang, Y., Lu, P., Wang, T., Cui, X., Tang, X."Identification of DNA methylation‑driven genes by integrative analysis of DNA methylation and transcriptome data in pancreatic adenocarcinoma". Experimental and Therapeutic Medicine 19, no. 4 (2020): 2963-2972. https://doi.org/10.3892/etm.2020.8554
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