  Glioblastoma multiform carries a dismal prognosis with poor response to gold
standard treatment. Innovative data analysis methods have been developed to
characterize tumor genomic expression with histologic features. In a clinical
setting, biopsy selection methods may be constrained by time and financial
burden to the patient. Thus, we investigate the impact biopsy selection has on
correlation between prognostic and histologic features in 35 patients with GBM.
We compared methods using limited volumes, moderate volumes, and enblock tumor
volumes. Additionally, we investigated the impact of random versus strategic
methods for limited and moderate volume biopsies. Finally, we compared
correlation results by selecting one to five small biopsy. We observed a wide
range in correlation significance across selection methods. These findings may
aid clinical management of GBM and direct better biopsy selection necessary for
the development and deployment of targeted therapies.

Quantitative Methods;Applications