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Article

Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis

  • Authors:
    • Jianyu Wu
    • Zhifu Xiao
    • Xiulei Zhao
    • Xiangsong Wu
  • View Affiliations / Copyright

    Affiliations: Department of General Surgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, P.R. China, Department of General Surgery, The Central Hospital of Cangzhou, Cangzhou, Hebei 061000, P.R. China
  • Pages: 3481-3486
    |
    Published online on: January 16, 2015
       https://doi.org/10.3892/mmr.2015.3216
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Abstract

Cholangiocarcinoma (CC) is a rapidly lethal malignancy and currently is considered to be incurable. Biomarkers related to the development of CC remain unclear. The present study aimed to identify differentially expressed genes (DEGs) between normal tissue and intrahepatic CC, as well as specific gene expression patterns that changed together with the development of CC. By using a two‑way analysis of variance test, the biomarkers that could distinguish between normal tissue and intrahepatic CC dissected from different days were identified. A k‑means cluster method was used to identify gene clusters associated with the development of CC according to their changing expression pattern. Functional enrichment analysis was used to infer the function of each of the gene sets. A time series analysis was constructed to reveal gene signatures that were associated with the development of CC based on gene expression profile changes. Genes related to CC were shown to be involved in ‘mitochondrion’ and ‘focal adhesion’. Three interesting gene groups were identified by the k‑means cluster method. Gene clusters with a unique expression pattern are related with the development of CC. The data of this study will facilitate novel discoveries regarding the genetic study of CC by further work.
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Copy and paste a formatted citation
Spandidos Publications style
Wu J, Xiao Z, Zhao X and Wu X: Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis. Mol Med Rep 11: 3481-3486, 2015.
APA
Wu, J., Xiao, Z., Zhao, X., & Wu, X. (2015). Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis. Molecular Medicine Reports, 11, 3481-3486. https://doi.org/10.3892/mmr.2015.3216
MLA
Wu, J., Xiao, Z., Zhao, X., Wu, X."Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis". Molecular Medicine Reports 11.5 (2015): 3481-3486.
Chicago
Wu, J., Xiao, Z., Zhao, X., Wu, X."Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis". Molecular Medicine Reports 11, no. 5 (2015): 3481-3486. https://doi.org/10.3892/mmr.2015.3216
Copy and paste a formatted citation
x
Spandidos Publications style
Wu J, Xiao Z, Zhao X and Wu X: Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis. Mol Med Rep 11: 3481-3486, 2015.
APA
Wu, J., Xiao, Z., Zhao, X., & Wu, X. (2015). Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis. Molecular Medicine Reports, 11, 3481-3486. https://doi.org/10.3892/mmr.2015.3216
MLA
Wu, J., Xiao, Z., Zhao, X., Wu, X."Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis". Molecular Medicine Reports 11.5 (2015): 3481-3486.
Chicago
Wu, J., Xiao, Z., Zhao, X., Wu, X."Revealing gene clusters associated with the development of cholangiocarcinoma, based on a time series analysis". Molecular Medicine Reports 11, no. 5 (2015): 3481-3486. https://doi.org/10.3892/mmr.2015.3216
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