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
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Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research
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