Open Access

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

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

  • Published online on: May 8, 2018     https://doi.org/10.3892/ol.2018.8668
  • Pages: 48-54
  • Copyright: © Yu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


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.
View Figures
View References

Related Articles

Journal Cover

July-2018
Volume 16 Issue 1

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

Sign up for eToc alerts

Recommend to Library

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