Saudi Journal of Gastroenterology
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Molecular characterization of colorectal cancer: A five-gene prognostic signature based on RNA-binding proteins

1 Gansu University of Chinese Medicine, Lanzhou, China
2 Gansu University of Chinese Medicine; Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China
3 Zunyi Medical University, Zunyi, China

Correspondence Address:
Qiankun Liang,
Gansu University of Chinese Medicine, Lanzhou 730020
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/sjg.sjg_530_20

PMID: 34169901

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide. RNA-binding proteins (RBPs) regulate essential biological processes and play essential roles in a variety of cancers. The present study screened differentially expressed RBPs, analyzed their function and constructed a prognostic model to predict the overall survival of patients with CRC. Methods: We downloaded CRC RNA-sequencing data from the Cancer Genome Atlas (TCGA) portal and screened differentially expressed RBPs. Then, functional analyses of these genes were performed, and a risk model was established by multivariate Cox regression. Results: We obtained 132 differentially expressed RBPs, including 66 upregulated and 66 downregulated RBPs. Functional analysis revealed that these genes were significantly enriched in RNA processing, modification and binding, ribosome biogenesis, post-transcriptional regulation, ribonuclease and nuclease activity. Additionally, some RBPs were significantly related to interferon (IFN)-alpha and IFN-beta biosynthetic processes and the Toll-like receptor signaling pathway. A prognostic model was constructed and included insulin like growth factor 2 messenger ribonucleic acid binding protein 3 (IGF2BP3), poly (A) binding protein cytoplasmic 1 like (PABPC1L), peroxisome proliferator activated receptor gamma coactivator 1 alpha (PPARGC1A), peptidyl- transfer ribonucleic acid hydrolase 1 homolog (PTRH1) and tudor domain containing 7 (TDRD7). The model is an independent risk factor for clinicopathological characteristics. Conclusion: Our study provided novel insights into the pathogenesis of CRC and constructed a prognostic gene model, which may be helpful for determining the prognosis of CRC.

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