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

An,Ning; Zhao,Chen; Yu,Zhuang; Yang,Xue

doi:10.3892/ol.2018.9632

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

Authors:
- Ning An
- Chen Zhao
- Zhuang Yu
- Xue Yang
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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
Published online on: October 29, 2018 https://doi.org/10.3892/ol.2018.9632
Pages: 432-441

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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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