Open Access

Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles

  • Authors:
    • Haiyang Su
    • Zhenyang Lin
    • Weicheng Peng
    • Zhiqiang Hu
  • View Affiliations

  • Published online on: December 14, 2018     https://doi.org/10.3892/ol.2018.9829
  • Pages: 2228-2236
  • Copyright: © Su et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Brain metastases originating from lung adenocarcinoma (LAD) occur frequently. The aim of the current study was to assess potential biomarkers for the prognosis of lung adenocarcinoma brain metastasis (LAD‑BM) through the analysis of gene expression microarrays. The current study downloaded two gene expression datasets, GSE14108 and GSE10245, from the Gene Expression Omnibus database. From GSE14108 and GSE10245, 19 LAD‑BM samples and 40 primary LAD samples were selected for analysis. To identify the differentially expressed genes (DEGs), the current study compared the two sample groups, using the limma R package. Subsequently, pathway enrichment analysis was conducted using the Cluster Profiler R package, and the construction of the protein‑protein interaction (PPI) network was executed utilizing the Search Tool for the Retrieval of Interacting Genes database. The microRNA‑target network was built using the TargetScore R package. Then, these networks were established and visualized using Cytoscape software. An array of 463 DEGs was identified in the LAD‑BM samples, including 256 upregulated and 207 downregulated genes. Based on functional term enrichment analysis using the Gene Ontology database and signaling pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes database, it was identified that the overlapping DEGs were primarily involved in chemokine‑associated signal transduction, which may mediate lung cancer cell metastasis to the brain. Chemokine ligand 2, lysozyme, matrix metalloproteinase‑2 (MMP‑2), lysyl oxidase (LOX) and granzyme B were identified as potential biomarkers according to a topological analysis of the PPI networks. Two notable nodes, MMP‑2 and LOX, appeared in the PPI network and were key points in the microRNA‑target network, as they were regulated by hsa‑let‑7d. Many DEGs and microRNAs were regarded as prognostic biomarkers for lung adenocarcinoma metastasis in the current study. These DEGs were primarily associated with chemokine‑mediated signaling pathways. In addition, MMP‑2 and LOX were predicted to be targets of hsa‑let‑7d.
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February-2019
Volume 17 Issue 2

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Su H, Lin Z, Peng W and Hu Z: Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles. Oncol Lett 17: 2228-2236, 2019
APA
Su, H., Lin, Z., Peng, W., & Hu, Z. (2019). Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles. Oncology Letters, 17, 2228-2236. https://doi.org/10.3892/ol.2018.9829
MLA
Su, H., Lin, Z., Peng, W., Hu, Z."Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles". Oncology Letters 17.2 (2019): 2228-2236.
Chicago
Su, H., Lin, Z., Peng, W., Hu, Z."Identification of potential biomarkers of lung adenocarcinoma brain metastases via microarray analysis of cDNA expression profiles". Oncology Letters 17, no. 2 (2019): 2228-2236. https://doi.org/10.3892/ol.2018.9829