Study on the Prognostic Values of Dynactin Genes in Low-Grade Glioma.

OBJECTIVE

This present study aims to investigate the potential prognostic values of dynactin genes ( for predicting the overall survival (OS) in low-grade glioma (LGG) patients.

METHODS

The mRNA expression data were downloaded from The Cancer Genome Atlas database containing 518 patients with LGG. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses for genes were performed by using Database for Annotation, Visualization, and Integrated Discovery platform, and their enrichment results were verified by using the Biological Networks Gene Ontology tool. Next, the correlations between genes and LGG were identified by Pearson correlation coefficient analysis. The OS was estimated by Kaplan-Meier survival analysis. The cBio Cancer Genomics Portal was used to analyze the mutations of genes and their effects on the prognosis of LGG. The correlation between the abundance of immune infiltration and tumor purity of genes were predicted by The Tumor Immune Estimation Resource.

RESULTS

Our research showed that the mRNA expression of in tumor tissues was much higher ( < 0.01) than that in normal tissues. Meanwhile, there was a certain correlation between the genes. Survival analysis showed that the high expression of , , , , and their co-expression were significantly correlated with favorable OS in LGG patients ( < 0.05). In , a high mutation rate was observed. Further research showed that the genetic alteration in genes was related to a poor OS and progression-free survival of LGG patients. The expression of genes had a certain correlation with immune infiltrating cells.

CONCLUSION

Our study showed that the high expressions of , , , and were associated with a favorable OS of LGG patients, indicating that these genes are potential biomarkers for evaluating the prognosis of LGG patients.