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Microarray expression profile analysis of circular RNAs in pancreatic cancer

  • Authors:
    • Shixiang Guo
    • Xuejun Xu
    • Yongsheng Ouyang
    • Yunchao Wang
    • Jiali Yang
    • Liangyu Yin
    • Jiayun Ge
    • Huaizhi Wang
  • View Affiliations / Copyright

    Affiliations: Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, The Third Military Medical University, Chongqing 400038, P.R. China, Institute of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, P.R. China
    Copyright: © Guo et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 7661-7671
    |
    Published online on: March 29, 2018
       https://doi.org/10.3892/mmr.2018.8827
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Abstract

Pancreatic cancer remains one of the most malignant tumors with a poor prognosis. Despite advances in diagnosis and treatment, no reliable biomarkers are available for clinical practice. Circular RNAs (circRNAs) are a novel class of endogenous non‑coding RNA, which are abundant, stable and conserved, and serve crucial roles in disease, particularly in cancer. The purpose of the present study was to investigate the expression profile of circRNAs in 20 pancreatic cancer tissues and corresponding paracancerous tissues using arraystar human circRNA array analysis, high‑throughput circRNA microarray, bioinformatic analysis and reverse transcription‑quantitative polymerase chain reaction. It was revealed that the circRNAs expression profile was significantly different between pancreatic cancer tissue and paracancerous tissue, which indicates a potential role in pancreatic cancer. It was predicted that circRNAs may act as a micro RNA sponge to modulate gene expression in pancreatic cancer. Additionally, microarray expression analysis data was submitted to the Gene Expression Omnibus under accession no. GSE79634. The present study revealed that circRNAs expression was visibly diverse in pancreatic cancer compared with paracancerous tissue and provides more reliable biomarkers and new insights into the mechanisms of pancreatic cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Guo S, Xu X, Ouyang Y, Wang Y, Yang J, Yin L, Ge J and Wang H: Microarray expression profile analysis of circular RNAs in pancreatic cancer. Mol Med Rep 17: 7661-7671, 2018.
APA
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L. ... Wang, H. (2018). Microarray expression profile analysis of circular RNAs in pancreatic cancer. Molecular Medicine Reports, 17, 7661-7671. https://doi.org/10.3892/mmr.2018.8827
MLA
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L., Ge, J., Wang, H."Microarray expression profile analysis of circular RNAs in pancreatic cancer". Molecular Medicine Reports 17.6 (2018): 7661-7671.
Chicago
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L., Ge, J., Wang, H."Microarray expression profile analysis of circular RNAs in pancreatic cancer". Molecular Medicine Reports 17, no. 6 (2018): 7661-7671. https://doi.org/10.3892/mmr.2018.8827
Copy and paste a formatted citation
x
Spandidos Publications style
Guo S, Xu X, Ouyang Y, Wang Y, Yang J, Yin L, Ge J and Wang H: Microarray expression profile analysis of circular RNAs in pancreatic cancer. Mol Med Rep 17: 7661-7671, 2018.
APA
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L. ... Wang, H. (2018). Microarray expression profile analysis of circular RNAs in pancreatic cancer. Molecular Medicine Reports, 17, 7661-7671. https://doi.org/10.3892/mmr.2018.8827
MLA
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L., Ge, J., Wang, H."Microarray expression profile analysis of circular RNAs in pancreatic cancer". Molecular Medicine Reports 17.6 (2018): 7661-7671.
Chicago
Guo, S., Xu, X., Ouyang, Y., Wang, Y., Yang, J., Yin, L., Ge, J., Wang, H."Microarray expression profile analysis of circular RNAs in pancreatic cancer". Molecular Medicine Reports 17, no. 6 (2018): 7661-7671. https://doi.org/10.3892/mmr.2018.8827
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