Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of Glioblastoma

Conclusion In conclusion, our study identified five novel biomarkers that have potential for the prognosis prediction in GBM. Moreover, our findings provide new insights into the pathogenesis and prognosis of GBM. Author Contributions WY and XJ conceived and designed the study. GT, QZ, YC, HL, XF, and ZW performed the analysis procedures. GT, WY, and XJ analyzed the results. WY and XJ wrote the manuscript. All authors contributed to the editing of the manuscript. Funding This work was supported by the National Natural Science Foundation of China (No. 81472355). Conflict of Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Acknowledgments We sincerely acknowledge the public databases: TCGA, GEO, and GEPIA. Supplementary Material The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00419/full#supplementary-material Footnotes ^http://xena.ucsc.edu/ ^http://www.ncbi.nlm.nih.gov/geo/ ^http://gepia.cancer-pku.cn/ References Abbadi, S., Rodarte, J. J., Abutaleb, A., Lavell, E., Smith, C. L., Ruff, W., et al. (2014). Glucose-6-phosphatase is a key metabolic regulator of glioblastoma invasion. Mol. Cancer Res. 12, 1547–1559. doi: 10.1158/1541-7786.MCR-14-0106-T PubMed Abstract | CrossRef Full Text | Google Scholar Ahn, R., Gupta, R., Lai, K...
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research