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Article

Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis

  • Authors:
    • Ning An
    • Chen Zhao
    • Zhuang Yu
    • Xue Yang
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China, Department of Anatomy, School of Basic Medicine, Qingdao University, Qingdao, Shandong 266071, P.R. China
  • Pages: 432-441
    |
    Published online on: October 29, 2018
       https://doi.org/10.3892/ol.2018.9632
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Abstract

Colorectal cancer is a complex multistage process following the adenoma‑carcinoma sequence. Additional research on the basis of molecular dysregulations, particularly in the precancerous stage, may provide insight into the realization of potential biomarkers and therapeutic targets for the disease. In the present study, the expression profile of human multistage colorectal mucosa tissues, including healthy, adenoma and adenocarcinoma samples, was downloaded. Genes that were consistently differentially expressed in precancerous tissues and cancer samples were collected. Based on a merged biological network, the biggest connected component composed of these identified genes and their one‑step neighbors were retrieved to conduct random walk with restart algorithm, in order to identify genes significantly affected during carcinogenesis. Therefore, 35 genes significantly affected by carcinogenic dysregulation were successfully identified. Survival and Cox analysis indicated that the expression of these genes was an independent prognostic factor confirmed by six cohorts. In summary, based on the transcription profile of multi‑stage carcinogenesis and bioinformatics analysis, 35 genes significantly associated with patient survival were successfully identified, which may serve as promising therapeutic targets for the disease.
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Copy and paste a formatted citation
Spandidos Publications style
An N, Zhao C, Yu Z and Yang X: Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis. Oncol Lett 17: 432-441, 2019.
APA
An, N., Zhao, C., Yu, Z., & Yang, X. (2019). Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis. Oncology Letters, 17, 432-441. https://doi.org/10.3892/ol.2018.9632
MLA
An, N., Zhao, C., Yu, Z., Yang, X."Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis". Oncology Letters 17.1 (2019): 432-441.
Chicago
An, N., Zhao, C., Yu, Z., Yang, X."Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis". Oncology Letters 17, no. 1 (2019): 432-441. https://doi.org/10.3892/ol.2018.9632
Copy and paste a formatted citation
x
Spandidos Publications style
An N, Zhao C, Yu Z and Yang X: Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis. Oncol Lett 17: 432-441, 2019.
APA
An, N., Zhao, C., Yu, Z., & Yang, X. (2019). Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis. Oncology Letters, 17, 432-441. https://doi.org/10.3892/ol.2018.9632
MLA
An, N., Zhao, C., Yu, Z., Yang, X."Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis". Oncology Letters 17.1 (2019): 432-441.
Chicago
An, N., Zhao, C., Yu, Z., Yang, X."Identification of prognostic genes in colorectal cancer through transcription profiling of multi‑stage carcinogenesis". Oncology Letters 17, no. 1 (2019): 432-441. https://doi.org/10.3892/ol.2018.9632
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