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Article

A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database

  • Authors:
    • Yubo Wang
    • Rui Han
    • Zhaojun Chen
    • Ming Fu
    • Jun Kang
    • Kunlin Li
    • Li Li
    • Hengyi Chen
    • Yong He
  • View Affiliations / Copyright

    Affiliations: Department of Respiratory Medicine, Daping Hospital, Third Military Medical University, Chongqing 400042, P.R. China
  • Pages: 2257-2269
    |
    Published online on: January 14, 2016
       https://doi.org/10.3892/or.2016.4560
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Abstract

Lung adenocarcinoma is the most common subtype of non-small cell lung cancer (NSCLC), leading to the largest number of cancer-related deaths worldwide. The high mortality rate may be attributed to the delay of detection. Therefore, it is of great importance to explore the mechanism of lung adenocarcinoma metastasis and the strategy to block metastasis of the disease. We searched and downloaded mRNA and miRNA expression data and clinical data from The Cancer Genome Atlas (TCGA) database to identify differences in mRNA and miRNA expression of primary tumor tissues from lung adenocarcinoma that did and did not metastasize. In addition, combined with bioinformatic prediction, we constructed an miRNA-target gene regulatory network. Finally, we employed RT-qPCR to validate the bioinformatic approach by determining the expression of 10 significantly differentially expressed genes which were also putative targets of several dysregulated miRNAs. RT-qPCR results indicated that the bioinformatic approach in our study was acceptable. Our data suggested that some of the genes including PKM2, STRAP and FLT3, may participate in the pathology of lung adenocarcinoma metastasis and could be applied as potential markers or therapeutic targets for lung adenocarcinoma.
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Copy and paste a formatted citation
Spandidos Publications style
Wang Y, Han R, Chen Z, Fu M, Kang J, Li K, Li L, Chen H and He Y: A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database. Oncol Rep 35: 2257-2269, 2016.
APA
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K. ... He, Y. (2016). A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database. Oncology Reports, 35, 2257-2269. https://doi.org/10.3892/or.2016.4560
MLA
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K., Li, L., Chen, H., He, Y."A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database". Oncology Reports 35.4 (2016): 2257-2269.
Chicago
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K., Li, L., Chen, H., He, Y."A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database". Oncology Reports 35, no. 4 (2016): 2257-2269. https://doi.org/10.3892/or.2016.4560
Copy and paste a formatted citation
x
Spandidos Publications style
Wang Y, Han R, Chen Z, Fu M, Kang J, Li K, Li L, Chen H and He Y: A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database. Oncol Rep 35: 2257-2269, 2016.
APA
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K. ... He, Y. (2016). A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database. Oncology Reports, 35, 2257-2269. https://doi.org/10.3892/or.2016.4560
MLA
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K., Li, L., Chen, H., He, Y."A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database". Oncology Reports 35.4 (2016): 2257-2269.
Chicago
Wang, Y., Han, R., Chen, Z., Fu, M., Kang, J., Li, K., Li, L., Chen, H., He, Y."A transcriptional miRNA-gene network associated with lung adenocarcinoma metastasis based on the TCGA database". Oncology Reports 35, no. 4 (2016): 2257-2269. https://doi.org/10.3892/or.2016.4560
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