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Article Open Access

An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer

  • Authors:
    • Tiantian Tang
    • Rongjian Su
    • Baoquan Wang
    • Yunli Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Laboratory Medicine, The First Affiliated Hospital of Liaoning Medical University, Jinzhou, Liaoning 121001, P.R. China, Center of Scientific Experiment, Liaoning Medical University, Jinzhou, Liaoning 121001, P.R. China, Intensive Care Unit, The First Affiliated Hospital of Liaoning Medical University, Jinzhou, Liaoning 121001, P.R. China
    Copyright: © Tang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 653-660
    |
    Published online on: May 26, 2015
       https://doi.org/10.3892/ol.2015.3266
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Abstract

microRNA‑34a (miRNA/miR-34a) functions as a tumor suppressor gene in gastric cancer and may be involved in system‑wide regulatory networks. To clarify the expression of all predicted target genes of this miRNA, a comprehensive and systematic analysis of miR‑34a‑target genes in gastric cancer was conducted in the present study. In the initial analysis, the potential functions, pathways and networks of gastric cancer‑associated molecules and miR‑34a targets were identified. In the final integrative analysis of gastric cancer‑associated miR‑34a targets, 30 hub genes were identified using overlap calculations, indicating that miR‑34a may be significant in the development and progression of gastric cancer through the Smad signaling pathway, the cell cycle, the mitogen‑activated protein kinase signaling pathway, apoptosis, the Notch signaling pathway and other pathways. The present study provides a bioinformatic analysis of miR‑34a‑targets in gastric cancer, describes numerous target genes and novel coregulatory networks, and may provide an opportunity to identify a critical regulatory network for predicting the molecular mechanisms of miR‑34a in the development and progression of gastric cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Tang T, Su R, Wang B and Zhang Y: An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer. Oncol Lett 10: 653-660, 2015.
APA
Tang, T., Su, R., Wang, B., & Zhang, Y. (2015). An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer. Oncology Letters, 10, 653-660. https://doi.org/10.3892/ol.2015.3266
MLA
Tang, T., Su, R., Wang, B., Zhang, Y."An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer". Oncology Letters 10.2 (2015): 653-660.
Chicago
Tang, T., Su, R., Wang, B., Zhang, Y."An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer". Oncology Letters 10, no. 2 (2015): 653-660. https://doi.org/10.3892/ol.2015.3266
Copy and paste a formatted citation
x
Spandidos Publications style
Tang T, Su R, Wang B and Zhang Y: An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer. Oncol Lett 10: 653-660, 2015.
APA
Tang, T., Su, R., Wang, B., & Zhang, Y. (2015). An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer. Oncology Letters, 10, 653-660. https://doi.org/10.3892/ol.2015.3266
MLA
Tang, T., Su, R., Wang, B., Zhang, Y."An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer". Oncology Letters 10.2 (2015): 653-660.
Chicago
Tang, T., Su, R., Wang, B., Zhang, Y."An integrated approach of predicted miR‑34a targets identifies a signature for gastric cancer". Oncology Letters 10, no. 2 (2015): 653-660. https://doi.org/10.3892/ol.2015.3266
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