4.5 Article

Prognostic value of Musashi-1 in gliomas

Journal

JOURNAL OF NEURO-ONCOLOGY
Volume 115, Issue 3, Pages 453-461

Publisher

SPRINGER
DOI: 10.1007/s11060-013-1246-8

Keywords

Glioma; Glioblastoma; Prognosis; Stem cell; Musashi-1; MSI1 protein

Funding

  1. Danish Medical Research Council
  2. Region of Southern Denmark
  3. Research Council at Odense University Hospital
  4. Carl J. Becker's Foundation
  5. Jacob and Olga Madsen Foundation
  6. Danish Cancer Research Foundation
  7. Karen A. Tolstrup Foundation
  8. Foundation for Research in Neurology
  9. Foundation of Cancer Research at Copenhagen University
  10. Beckett Foundation

Ask authors/readers for more resources

The aim of this study was to investigate the prognostic value of the RNA-binding protein Musashi-1 in adult patients with primary gliomas. Musashi-1 has been suggested to be a cancer stem cell-related marker in gliomas, and high levels of Musashi-1 have been associated with high tumor grades and hence poor prognosis. Samples of 241 gliomas diagnosed between 2005 and 2009 were stained with an anti-Musashi-1 antibody using a fluorescent staining protocol followed by automated image acquisition and processing. Musashi-1 area fraction and intensity in cytoplasm and in nuclei were quantified by systematic random sampling in 2 % of the vital tumor area. In WHO grade III tumors high levels of Musashi-1 were associated with poor survival in multivariate analysis (HR 3.39, p = 0.02). We identified a sub-population of glioblastoma (GBM) patients with high levels of Musashi-1 and a superior prognosis (HR 0.65, p = 0.038). In addition patients with high levels of Musashi-1 benefitted most from post-surgical treatment, indicating that Musashi-1 may be a predictive marker in GBMs. In conclusion, our results suggest that high levels of Musashi-1 are associated with poor survival in patients with WHO grade III tumors and that Musashi-1 may be a predictive marker in GBMs, although further validation is needed. We find the combination of immunofluorescence and automated quantitation to be a feasible, robust, and reproducible approach for quantitative biomarker studies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available