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BioMed Research International
Volume 2017 (2017), Article ID 7653101, 7 pages
https://doi.org/10.1155/2017/7653101
Research Article

Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics

1Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
2Department of Neurosurgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510665, China
3Department of General Surgery, Shanghai Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

Correspondence should be addressed to Haizhong Huo and Ye Song

Received 1 September 2016; Accepted 21 November 2016; Published 16 January 2017

Academic Editor: Jens Schittenhelm

Copyright © 2017 Hao Long et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. L. Goodenberger and R. B. Jenkins, “Genetics of adult glioma,” Cancer Genetics, vol. 205, no. 12, pp. 613–621, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. F. E. Bleeker, R. J. Molenaar, and S. Leenstra, “Recent advances in the molecular understanding of glioblastoma,” Journal of Neuro-Oncology, vol. 108, no. 1, pp. 11–27, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. CBTRUS in CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2004–2006. Central Brain Tumor Registry of the United States, Hinsdale, Ill, USA, 2010, http://www.cbtrus.org/.
  4. J. Kononen, L. Bubendorf, A. Kallioniemi et al., “Tissue microarrays for high-throughput molecular profiling of tumor specimens,” Nature Medicine, vol. 4, no. 7, pp. 844–847, 1998. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Bucher, J. Torhorst, L. Bubendorf et al., “Tissue microarrays (‘tissue chips’) for high-throughput cancer genetics: linking molecular changes to clinical endpoints,” American Journal of Human Genetics, vol. 65, no. 4, p. A10, 1999. View at Google Scholar
  6. R. Radhakrishnan, M. Solomon, K. Satyamoorthy, L. E. Martin, and M. W. Lingen, “Tissue microarray—a high-throughput molecular analysis in head and neck cancer,” Journal of Oral Pathology & Medicine, vol. 37, no. 3, pp. 166–176, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. C. M. Kelly, S. Penny, D. Brennan et al., “Systematic validation of novel breast cancer progression-associated biomarkers via high-throughput antibody generation and application of tissue microarray technology: an initial report,” Journal of Clinical Oncology, vol. 26, no. 15, supplement, p. 11056, 2008. View at Publisher · View at Google Scholar
  8. T. G. Fernandes, S. J. Kwon, M. Y. Lee, D. S. Clark, J. M. S. Cabral, and J. S. Dordick, “On-chip, cell-based microarray immunofluorescence assay for high-throughput analysis of target proteins,” Analytical Chemistry, vol. 80, no. 17, pp. 6633–6639, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Izumiya, K. Okamoto, N. Tsuchiya, and H. Nakagama, “Functional screening using a microRNA virus library and microarrays: a new high-throughput assay to identify tumor-suppressive microRNAs,” Carcinogenesis, vol. 31, no. 8, pp. 1354–1359, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. J.-H. Rho and P. D. Lampe, “High-throughput screening for native autoantigen-autoantibody complexes using antibody microarrays,” Journal of Proteome Research, vol. 12, no. 5, pp. 2311–2320, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. M. G. Dozmorov and J. D. Wren, “High-throughput processing and normalization of one-color microarrays for transcriptional meta-analyses,” BMC Bioinformatics, vol. 12, supplement 10, article S2, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. T. E. I. Taher, R. van der Voort, L. Smit et al., “Cross-talk between CD44 and c-met in B cells,” in Mechanisms of B Cell Neoplasia 1998: Proceedings of the Workshop held at the Basel Institute for Immunology 4th–6th October 1998, F. Melchers and M. Potter, Eds., vol. 246 of Current Topics in Microbiology and Immunology, pp. 31–38, Springer, Berlin, Germany, 1999. View at Publisher · View at Google Scholar
  13. G. F. Weber, S. Ashkar, M. J. Glimcher, and H. Cantor, “Receptor-ligand interaction between CD44 and osteopontin (Eta-1),” Science, vol. 271, no. 5248, pp. 509–512, 1996. View at Publisher · View at Google Scholar · View at Scopus
  14. D. Naor, R. V. Sionov, and D. Ish-Shalom, “CD44: structure, function, and association with the malignant process,” Advances in Cancer Research, vol. 71, pp. 241–319, 1997. View at Publisher · View at Google Scholar · View at Scopus
  15. H. Okada, J. Yoshida, M. Sokabe, T. Wakabayashi, and M. Hagiwara, “Suppression of CD44 expression decreases migration and invasion of human glioma cells,” International Journal of Cancer, vol. 66, no. 2, pp. 255–260, 1996. View at Publisher · View at Google Scholar · View at Scopus
  16. T. Yoshida, Y. Matsuda, Z. Naito, and T. Ishiwata, “CD44 in human glioma correlates with histopathological grade and cell migration,” Pathology International, vol. 62, no. 7, pp. 463–470, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. U. Schwarze, W. I. Schievink, E. Petty et al., “Haploinsufficiency for one COL3A1 allele of type III procollagen results in a phenotype similar to the vascular form of Ehlers-Danlos syndrome, Ehlers-Danlos syndrome type IV,” American Journal of Human Genetics, vol. 69, no. 5, pp. 989–1001, 2001. View at Publisher · View at Google Scholar · View at Scopus
  18. L. S. Payne and P. H. Huang, “The pathobiology of collagens in glioma,” Molecular Cancer Research, vol. 11, no. 10, pp. 1129–1140, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Skog, T. Würdinger, S. van Rijn et al., “Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers,” Nature Cell Biology, vol. 10, no. 12, pp. 1470–1476, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Wang and S. E. Tsirka, “Neuroprotection by inhibition of matrix metalloproteinases in a mouse model of intracerebral haemorrhage,” Brain, vol. 128, pp. 1622–1633, 2005. View at Publisher · View at Google Scholar · View at Scopus
  21. J. Vandooren, P. E. Van den Steen, and G. Opdenakker, “Biochemistry and molecular biology of gelatinase B or matrix metalloproteinase-9 (MMP-9): the next decade,” Critical Reviews in Biochemistry and Molecular Biology, vol. 48, no. 3, pp. 222–272, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. P. A. Forsyth, H. Wong, T. D. Laing et al., “Gelatinase-A (MMP-2), gelatinase-B (MMP-9) and membrane type matrix metalloproteinase-1 (MT1-MMP) are involved in different aspects of the pathophysiology of malignant gliomas,” British Journal of Cancer, vol. 79, no. 11-12, pp. 1828–1835, 1999. View at Publisher · View at Google Scholar · View at Scopus
  23. G. Y. Choe, J. K. Park, L. Jouben-Steele et al., “Active matrix metalloproteinase 9 expression is associated with primary glioblastoma subtype,” Clinical Cancer Research, vol. 8, no. 9, pp. 2894–2901, 2002. View at Google Scholar · View at Scopus
  24. F. F. Wang, G. Song, M. Liu, X. Li, and H. Tang, “miRNA-1 targets fibronectin1 and suppresses the migration and invasion of the HEp2 laryngeal squamous carcinoma cell line,” FEBS Letters, vol. 585, no. 20, pp. 3263–3269, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. S. W. Han, F. R. Khuri, and J. Roman, “Fibronectin stimulates non-small cell lung carcinoma cell growth through activation of Akt/mammalian target of rapamycin/S6 kinase and inactivation of LKB1/AMP-activated protein kinase signal pathways,” Cancer Research, vol. 66, no. 1, pp. 315–323, 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. Q. Yu and I. Stamenkovic, “Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-beta and promotes tumor invasion and angiogenesis,” Genes & Development, vol. 14, no. 2, pp. 163–176, 2000. View at Google Scholar · View at Scopus
  27. Q. Yu and I. Stamenkovic, “Transforming growth factor-beta facilitates breast carcinoma metastasis by promoting tumor cell survival,” Clinical & Experimental Metastasis, vol. 21, no. 3, pp. 235–242, 2004. View at Publisher · View at Google Scholar · View at Scopus