Abstract
Abstract Glioma is the most common central nervous system tumors. Although many biomarkers have been reported for detecting glioma, the prognosis for the disease remains poor, and therefore, new biomarkers need to be identified. The cell division cycle associated proteins (CDCA) family gene is involved in a wide range of biological functions in human cancers. Nevertheless, the expression characteristics of CDCAs, and prognostic value landscape of glioma are remain unknown. Based on a wide variety of public databases and integrated several bioinformatics analysis methods, we evaluated expression dysregulations, clinical implications, DNA methylation, copy number alterations, prognostic and therapeutic values of CDCA family gene in glioma. Further, we identified crucial biomarker, CDCA2, that influence the progression of malignant glioma and poor prognosis. Thereafter, we disclosed the effect of CDCA2 knockdown on the biological function of glioma cells through various experiments in vitro. We found that the elevated mRNA expression of CDCAs in glioma. The upregulated expression of CDCAs was found to be associated with the tumor grade in glioma. The overexpression of CDCAs mRNA were correlated with the poor prognosis. Moreover, the expression level of CDCA2 was significantly higher in glioma, and the level is correlated with grade, age, IDH1 mutation and 1p19q codeletion states. Further cell experimental results supported that the ability of cell proliferation, migration, invasion and radioresistance of glioma cells was significantly decreased after downregulated CDCA2 expression, and these changes may be achieved through the RAD51 and p21/CDK2/CyclinE1 signaling pathways. These findings provide new insights into CDCAs from a bioinformatics standpoint and highlight the significance of CDCAs in glioma diagnosis and treatment. And knockdown of CDCA2 inhibits glioma cells' proliferation, migration, invasion and radioresistance. Regulation of CDCA2 on malignant progression of glioma cells may be realized through the RAD51 and p21/CDK2/CyclinE1 signaling pathways.
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