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Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network

  • Authors:
    • Minjie He
    • Yan Lin
    • Yuzhen Xu
  • View Affiliations / Copyright

    Affiliations: Department of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650000, P.R. China, Department of Oncology, The Affiliated Traditional Chinese Medical Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, P.R. China, Department of Gastrointestinal Surgery, Xuzhou Hospital Affiliated to Medical School of Southeast University, Xuzhou, Jiangsu 221009, P.R. China
    Copyright: © He et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2687-2694
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    Published online on: January 15, 2019
       https://doi.org/10.3892/ol.2019.9936
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Abstract

Colorectal cancer (CRC) is a highly malignant gastrointestinal tumor accompanied by poor prognosis. Long non‑coding RNA (lncRNA) plays an important role in the progression and physiology of tumors as it competes with endogenous RNAs, including miRNA and mRNA. In the present study, a multi‑step computational method was used to build a CRC‑related functional lncRNA‑mediated competitive endogenous RNA (ceRNA) network (LMCN). lncRNAs with more degrees and betweenness centrality (BC) were screened out as hub lncRNAs. Then functional enrichment analyses of lncRNAs were carried out from the Gene Ontology (GO) and Reactome pathway databases based on the ῾guilt by association᾿ principle. As a result, lncRNAs in the LMCN displayed specific topological characteristics in accordance with the regulatory correlation of coding mRNAs in CRC pathology. HCP5, EPB41L4A‑AS1, SNHG12, and LINC00649 were screened out as hub lncRNAs which were more significantly related to the development and prognosis of CRC. The hub lncRNAs in CRC were obviously involved in functions of cell cycle arrest, vacuolar transport, histone modification, and in pathways of GPCR, signaling by Rho GTPases, axon guidance pathways, meaning that they might be potential biomarkers for diagnosis, evaluation and gene‑targeted therapy of CRC. Thus, the LMCN construction method could accelerate lncRNA discovery and therapeutic development in CRC.
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Copy and paste a formatted citation
Spandidos Publications style
He M, Lin Y and Xu Y: Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network. Oncol Lett 17: 2687-2694, 2019.
APA
He, M., Lin, Y., & Xu, Y. (2019). Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network. Oncology Letters, 17, 2687-2694. https://doi.org/10.3892/ol.2019.9936
MLA
He, M., Lin, Y., Xu, Y."Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network". Oncology Letters 17.3 (2019): 2687-2694.
Chicago
He, M., Lin, Y., Xu, Y."Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network". Oncology Letters 17, no. 3 (2019): 2687-2694. https://doi.org/10.3892/ol.2019.9936
Copy and paste a formatted citation
x
Spandidos Publications style
He M, Lin Y and Xu Y: Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network. Oncol Lett 17: 2687-2694, 2019.
APA
He, M., Lin, Y., & Xu, Y. (2019). Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network. Oncology Letters, 17, 2687-2694. https://doi.org/10.3892/ol.2019.9936
MLA
He, M., Lin, Y., Xu, Y."Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network". Oncology Letters 17.3 (2019): 2687-2694.
Chicago
He, M., Lin, Y., Xu, Y."Identification of prognostic biomarkers in colorectal cancer using a long non‑coding RNA‑mediated competitive endogenous RNA network". Oncology Letters 17, no. 3 (2019): 2687-2694. https://doi.org/10.3892/ol.2019.9936
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