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Article Open Access

Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data

  • Authors:
    • Ru Huang
    • Lei Gao
  • View Affiliations / Copyright

    Affiliations: Department of Heart Failure, Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, P.R. China
    Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6436-6442
    |
    Published online on: March 1, 2018
       https://doi.org/10.3892/ol.2018.8153
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Abstract

Non-small cell lung cancer (NSCLC) is the most commonly diagnosed subtype of lung cancer, and the leading cause of cancer-associated mortalities worldwide. However, NSCLC is typically diagnosed at a late stage of disease due to a lack of effective diagnostic methods. In the present study, the GSE19804 dataset was obtained from the Gene Expression Omnibus, and a number of differentially expressed genes were identified between NSCLC and adjacent normal tissues. Based on functional and pathway enrichment analyses, five hub genes (cell‑division cycle 20, centromere protein F, kinesin family member 2C, BUB1 mitotic checkpoint serine/threonine kinase and ZW10 interacting kinetochore protein) were selected. After verifying that the mRNA level of these hub genes was also upregulated in NSCLC tissues by using the GSE10072 dataset and in cell lines by reverse transcription‑quantitative polymerase chain reaction. The diagnostic and prognostic potentials of these five gene candidates were evaluated using receiver operating characteristic curves and survival analyses. Taken together, the present study identified five candidates that are overexpressed in NSCLC tissues and could also serve as potential diagnostic and prognostic biomarkers for patients with NSCLC.
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Copy and paste a formatted citation
Spandidos Publications style
Huang R and Gao L: Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data. Oncol Lett 15: 6436-6442, 2018.
APA
Huang, R., & Gao, L. (2018). Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data. Oncology Letters, 15, 6436-6442. https://doi.org/10.3892/ol.2018.8153
MLA
Huang, R., Gao, L."Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data". Oncology Letters 15.5 (2018): 6436-6442.
Chicago
Huang, R., Gao, L."Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data". Oncology Letters 15, no. 5 (2018): 6436-6442. https://doi.org/10.3892/ol.2018.8153
Copy and paste a formatted citation
x
Spandidos Publications style
Huang R and Gao L: Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data. Oncol Lett 15: 6436-6442, 2018.
APA
Huang, R., & Gao, L. (2018). Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data. Oncology Letters, 15, 6436-6442. https://doi.org/10.3892/ol.2018.8153
MLA
Huang, R., Gao, L."Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data". Oncology Letters 15.5 (2018): 6436-6442.
Chicago
Huang, R., Gao, L."Identification of potential diagnostic and prognostic biomarkers in non-small cell lung cancer based on microarray data". Oncology Letters 15, no. 5 (2018): 6436-6442. https://doi.org/10.3892/ol.2018.8153
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