Background: is a transmembrane protein involved in biological signaling and plays an important role in the stability and transcription of P53. However, its role in tumor remains unknown.
Methods: Using R language, the expression level of 33 cancer spectrum was analyzed by the public database TCGA, GEO and HPA, the differential expressed gene (DEG) screening and protein interaction (PPI) network was constructed, and the differential genes of in colon cancer were identified. The relevant signaling pathways were identified by gene functional annotation and enrichment analysis. The ssGSEA algorithm in GSVA were used for immune infiltration analysis. The Kaplan-Meier analysis, univariate and multivariate Cox regression analysis, nomogram and calibration map analysis were constructed to evaluate the correlation between expression and clinical prognosis. The expression levels of in intestinal cancer cell lines as well as in 10 intestinal cancer tissues were verified by qPCR experiments.
Results: Through the bioinformatics analysis of multiple databases and preliminary experimental studies, we found that the expression of was significantly increased in colon cancer tumors, and was correlated with the clinical N stage, pathological grade, lymphatic metastasis and BMI of colon cancer. may be involved in the regulation of the malignant progression of colon cancer. Meanwhile, patients with high expression of mRNA had worse OS and DSS, and expression was an independent prognostic factor for OS and DSS. It was further found that highly expressed tissues showed low levels of immune infiltration and stromal infiltration.
Conclusion: We reported the expression level of in colon cancer and analyzed its potential prognostic value in colon cancer through the bioinformatics analysis and preliminary experimental studies. The high expression of is a negative prognostic factor for colon cancer patients. may be a potential target for colon cancer.
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| http://dx.doi.org/10.7717/peerj.16334 | DOI Listing |
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