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Chinese Journal of Colorectal Diseases(Electronic Edition) ›› 2016, Vol. 05 ›› Issue (06): 475-479. doi: 10.3877/cma.j.issn.2095-3224.2016.06.004

Special Issue:

• Original Article • Previous Articles     Next Articles

Identification of EZH2-related key pathways and genes in colorectal cancer using bioinformatics analysis.

Dawei Song1, Rui Huang1, Qingchao Tang1, Tianyi Ma1, Yuchen Luo2, Guiyu Wang1,(), Xishan Wang3,()   

  1. 1. The Department of Colorectal Cancer, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China;Colorectal cancer research institution, Harbin Medical University, Harbin 150086, China
    2. The Department of Colorectal Cancer, The Second Affiliated Hospital, Harbin Medical University, Harbin 150086, China
    3. Department of Colorectal Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
  • Received:2016-11-20 Online:2016-12-25 Published:2016-12-25
  • Contact: Guiyu Wang, Xishan Wang
  • About author:
    Corresponding author: Wang Xishan, Email:
    WangGuiyu, Email:

Abstract:

Objective

The aim of this study was to investigate the prognosis value of the EZH2 expression and signatures during CRC and uncover their potential mechanisms in colorectal cancer.

Methods

The gene expression profiles of GSE17538 were downloaded from GEO database. The GSE17 538 data-set contained 232 samples. The data was combined by the R2 platform to search the genes which are associated with a significant expression with EZH2. The gene ontology(GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed by R2 platform. The surival curves were estimated using the Kaplan-Meier method.

Results

In 232 cases, the expression of EZH2 in colorectal carcinoma was associated with age (χ2=4.426, P=0.035), AJCC stage (χ2=8.259, P=0.041) and differentiation (χ2=7.301, P=0.026), except for sex(χ2=0.622, P=0.430); In total, 4305 genes were identified which are associated with a significant expression with EZH2, including 2240 up-regulated genes and 2065 down-regulated genes. GO analysis and KEGG pathway analysis results showed that these were significantly enriched in biological processes , including proliferation in cell cycle, RNA transcription and DNA replication; Using the Kaplan-Meier method we found the expression of EZH2 is related with disease free survival .

Conclusion

EZH2 could be used as a potential prognostic marker and a therapeutic target in colorectal cancer.

Key words: Colorectal neoplasms, Gene expression, EZH2, Cell cycle, Gene microarray

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