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Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer

  • Authors:
    • Sanfei Peng
    • Xiangyang Yin
    • Yizheng Zhang
    • Wunan Mi
    • Tong Li
    • Yang Yu
    • Jianwu Jiang
    • Qi Liu
    • Yang Fu
  • View Affiliations / Copyright

    Affiliations: Department of General Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, P.R. China
    Copyright: © Peng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2185-2196
    |
    Published online on: January 24, 2020
       https://doi.org/10.3892/ol.2020.11351
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Abstract

Gastric cancer (GC) is one of the most frequently occurring life‑threatening malignancies worldwide. Due to its high mortality rate, the discovery of putative biomarkers that may be sensitive and specific to GC is of seminal importance. Long non‑coding RNAs (lncRNAs) are non‑translatable RNAs whose transcript length exceeds 200 base pairs. The dysregulation of lncRNA expression plays a key role in tumorigenesis and development. In the present study, the expression profiles of lncRNAs, microRNAs and mRNAs of 361 GC tissues (and 32 normal gastric tissues) were downloaded from The Cancer Genome Atlas database. Furthermore, differentially expressed RNAs were analyzed by the DEseq package. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses confirmed some significant dysregulated signaling pathways and target RNAs. As a result, an lncRNA‑associated competing endogenous RNA (ceRNA) network was constructed. Kaplan‑Meier analysis of the differentially expressed RNAs associated with GC pathogenesis confirmed that the lncRNAs PVT1, HAND2‑AS1 and ZNF667‑AS1 were potentially associated with the prognosis of GC (P<0.05). The present study suggests the mechanism of ceRNA networks in GC, and further demonstrates that aberrant lncRNA expression may be used as an effective diagnostic tool (or target) for the prognosis of GC.
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Copy and paste a formatted citation
Spandidos Publications style
Peng S, Yin X, Zhang Y, Mi W, Li T, Yu Y, Jiang J, Liu Q and Fu Y: Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer. Oncol Lett 19: 2185-2196, 2020.
APA
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y. ... Fu, Y. (2020). Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer. Oncology Letters, 19, 2185-2196. https://doi.org/10.3892/ol.2020.11351
MLA
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y., Jiang, J., Liu, Q., Fu, Y."Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer". Oncology Letters 19.3 (2020): 2185-2196.
Chicago
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y., Jiang, J., Liu, Q., Fu, Y."Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer". Oncology Letters 19, no. 3 (2020): 2185-2196. https://doi.org/10.3892/ol.2020.11351
Copy and paste a formatted citation
x
Spandidos Publications style
Peng S, Yin X, Zhang Y, Mi W, Li T, Yu Y, Jiang J, Liu Q and Fu Y: Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer. Oncol Lett 19: 2185-2196, 2020.
APA
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y. ... Fu, Y. (2020). Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer. Oncology Letters, 19, 2185-2196. https://doi.org/10.3892/ol.2020.11351
MLA
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y., Jiang, J., Liu, Q., Fu, Y."Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer". Oncology Letters 19.3 (2020): 2185-2196.
Chicago
Peng, S., Yin, X., Zhang, Y., Mi, W., Li, T., Yu, Y., Jiang, J., Liu, Q., Fu, Y."Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer". Oncology Letters 19, no. 3 (2020): 2185-2196. https://doi.org/10.3892/ol.2020.11351
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