Abstract
Glioblastoma (GB) is the most common and lethal type of adult brain tumor. The tumor microenvironment (TME) of GB is characterized by a high level of molecular heterogeneity, which is paramount to support tumorgenesis, disease progression, and therapeutic resistance. Key features of the GB TME include acidosis, hypoxia, excess of glutathione, and an exacerbated enzymatic activity, mainly associated with matrix metalloproteinases. Each of these features supports the rapid and aggressive progression of GB, which poses a threat to the successful biological performance of therapeutic, diagnostic, or theranostic systems. However, it is also a window of opportunity to develop novel systems capable of recognizing each of these GB TME features as cues to trigger a tumor-specific responsive behavior. This chapter focus on the impact of GB TME features on the fate of therapeutic, diagnostic, or theranostic systems, and on how to harness GB TME features to maximize the precision and responsiveness of these systems.
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