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Article Open Access

Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation

  • Authors:
    • Tonghu Yu
    • Huaping Zhang
    • Hong Qi
  • View Affiliations / Copyright

    Affiliations: Department of Gastrointestinal Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University Medical College, Yantai, Shandong 264000, P.R. China, Department of General Surgery, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China
    Copyright: © Yu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 48-54
    |
    Published online on: May 8, 2018
       https://doi.org/10.3892/ol.2018.8668
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Abstract

The aim of the present study was to investigate more colon cancer-related genes in different stages. Gene expression profile E-GEOD-62932 was extracted for differentially expressed gene (DEG) screening. Series test of cluster analysis was used to obtain significant trending models. Based on the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases, functional and pathway enrichment analysis were processed and a pathway relation network was constructed. Gene co-expression network and gene signal network were constructed for common DEGs. The DEGs with the same trend were clustered and in total, 16 clusters with statistical significance were obtained. The screened DEGs were enriched into small molecule metabolic process and metabolic pathways. The pathway relation network was constructed with 57 nodes. A total of 328 common DEGs were obtained. Gene signal network was constructed with 71 nodes. Gene co-expression network was constructed with 161 nodes and 211 edges. ABCD3, CPT2, AGL and JAM2 are potential biomarkers for the diagnosis of colon cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Yu T, Zhang H and Qi H: Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation. Oncol Lett 16: 48-54, 2018.
APA
Yu, T., Zhang, H., & Qi, H. (2018). Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation. Oncology Letters, 16, 48-54. https://doi.org/10.3892/ol.2018.8668
MLA
Yu, T., Zhang, H., Qi, H."Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation". Oncology Letters 16.1 (2018): 48-54.
Chicago
Yu, T., Zhang, H., Qi, H."Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation". Oncology Letters 16, no. 1 (2018): 48-54. https://doi.org/10.3892/ol.2018.8668
Copy and paste a formatted citation
x
Spandidos Publications style
Yu T, Zhang H and Qi H: Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation. Oncol Lett 16: 48-54, 2018.
APA
Yu, T., Zhang, H., & Qi, H. (2018). Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation. Oncology Letters, 16, 48-54. https://doi.org/10.3892/ol.2018.8668
MLA
Yu, T., Zhang, H., Qi, H."Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation". Oncology Letters 16.1 (2018): 48-54.
Chicago
Yu, T., Zhang, H., Qi, H."Transcriptome profiling analysis reveals biomarkers in colon cancer samples of various differentiation". Oncology Letters 16, no. 1 (2018): 48-54. https://doi.org/10.3892/ol.2018.8668
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