Identification of prognostic biomarkers for glioblastomas using protein expression profiling

  • Authors:
    • Yong Jung
    • Kyeung Min Joo
    • Dong Ho Seong
    • Yoon-La Choi
    • Doo-Sik Kong
    • Yonghyun Kim
    • Mi Hyun Kim
    • Juyoun Jin
    • Yeon-Lim Suh
    • Ho Jun Seol
    • Chul Soo Shin
    • Jung-Il Lee
    • Jong-Hyun Kim
    • Sang Yong Song
    • Do-Hyun Nam
  • View Affiliations

  • Published online on: December 15, 2011     https://doi.org/10.3892/ijo.2011.1302
  • Pages: 1122-1132
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Abstract

A set of proteins reflecting the prognosis of patients have clinical significance since they could be utilized as predictive biomarkers and/or potential therapeutic targets. With the aim of finding novel diagnostic and prognostic markers for glioblastoma (GBM), a tissue microarray (TMA) library consisting of 62 GBMs and 28 GBM-associated normal spots was constructed. Immunohistochemistry against 78 GBM-associated proteins was performed. Expression levels of each protein for each patient were analyzed using an image analysis program and converted to H-score [summation of the intensity grade of staining (0-3) multiplied by the percentage of positive cells corresponding to each grade]. Based on H-score and hierarchical clustering methods, we divided the GBMs into two groups (n=19 and 37) that had significantly different survival lengths (p<0.05). In the two groups, expression of nine proteins (survivin, cyclin E, DCC, TGF-β, CDC25B, histone H1, p-EGFR, p-VEGFR2/3, p16) was significantly changed (q<0.05). Prognosis-predicting potential of these proteins were validated with another independent library of 82 GBM TMAs and a public GBM DNA microarray dataset. In addition, we determined 32 aberrant or mislocalized subcellular protein expression patterns in GBMs compared with relatively normal brain tissues, which could be useful for diagnostic biomarkers of GBM. We therefore suggest that these proteins can be used as predictive biomarkers and/or potential therapeutic targets for GBM.

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April 2012
Volume 40 Issue 4

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Spandidos Publications style
Jung Y, Joo KM, Seong DH, Choi Y, Kong D, Kim Y, Kim MH, Jin J, Suh Y, Seol HJ, Seol HJ, et al: Identification of prognostic biomarkers for glioblastomas using protein expression profiling. Int J Oncol 40: 1122-1132, 2012
APA
Jung, Y., Joo, K.M., Seong, D.H., Choi, Y., Kong, D., Kim, Y. ... Nam, D. (2012). Identification of prognostic biomarkers for glioblastomas using protein expression profiling. International Journal of Oncology, 40, 1122-1132. https://doi.org/10.3892/ijo.2011.1302
MLA
Jung, Y., Joo, K. M., Seong, D. H., Choi, Y., Kong, D., Kim, Y., Kim, M. H., Jin, J., Suh, Y., Seol, H. J., Shin, C. S., Lee, J., Kim, J., Song, S. Y., Nam, D."Identification of prognostic biomarkers for glioblastomas using protein expression profiling". International Journal of Oncology 40.4 (2012): 1122-1132.
Chicago
Jung, Y., Joo, K. M., Seong, D. H., Choi, Y., Kong, D., Kim, Y., Kim, M. H., Jin, J., Suh, Y., Seol, H. J., Shin, C. S., Lee, J., Kim, J., Song, S. Y., Nam, D."Identification of prognostic biomarkers for glioblastomas using protein expression profiling". International Journal of Oncology 40, no. 4 (2012): 1122-1132. https://doi.org/10.3892/ijo.2011.1302