Glioblastoma multiforme (GBM) is among the most deadly cancers. A number of studies suggest that a fraction of tumor cells with stem cell features (Glioma Stem-like Cells, GSC) might be responsible for GBM recurrence and aggressiveness. GSC similarly to normal neural stem cells, can form neurospheres (NS) in vitro, and seem to mirror the genetic features of the original tumor better than glioma cells growing adherently in the presence of serum. Using cDNA microarray analysis we identified a number of relevant genes for glioma biology that are differentially expressed in adherent cells and neurospheres derived from the same tumor. Fatty acid-binding protein 7 (FABP7) was identified as one of the most highly expressed genes in NS compared to their adherent counterpart. We found that down-regulation of FABP7 expression in NS by small interfering RNAs significantly reduced cell proliferation and migration. We also evaluated the potential involvement of FABP7 in response to radiotherapy, as this treatment may cause increased tumor infiltration. Migration of irradiated NS was associated to increased expression of FABP7. In agreement with this, in vivo reduced tumorigenicity of GBM cells with down-regulated expression of FABP7 was associated to decreased expression of the migration marker doublecortin. Notably, we observed that PPAR antagonists affect FABP7 expression and decrease the migration capability of NS after irradiation. As a whole, the data emphasize the role of FABP7 expression in GBM migration and provide translational hints on the timing of treatment with anti-FABP7 agents like PPAR antagonists during GBM evolution.

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Glioblastomas (GBMs), the most common primary malignancies of the central nervous system, are highly aggressive and heterogeneous, and remain a dramatic therapeutic challenge. Markers mirroring the complex molecular profile of GBMs that are predictive of patient outcomes are needed to define novel multi-targeted treatment strategies. Resistance to current GBM therapies is partly due to a subpopulation of stem-like and other self-renewing cells (hereafter called glioma stem-like cancer cells, GSCC), which are therefore of key interest as therapeutic entry points. Wnt and Hedgehog are among the main pathways involved in GSCC renewal. β-catenin and Gli1 are markers of Wnt and Hedgehog activation respectively and both pathways are known to be altered in gliomas. To date, there are no investigations of Gli1 protein expression in GBM tissue, and recently a high expression of β-catenin has been found to have a poor prognostic impact in GBM patients in a study. We have therefore quantified the positivity for β-catenin, Gli1, as well as Ki-67, p53, and EGFR proteins on immunohistochemically-stained GBM sections from 106 patients in an investigation for potential predictive biomarkers. Correlation between these markers and survival was evaluated by pair-wise Pearson correlation coefficient and by bi-dimensional hierarchical clustering, followed by survival estimations using linear regression models and classification trees. We demonstrated that both β-catenin and, for the first time, Gli1 proteins are highly predictive markers of short survival, being found in 75 and 90% of the highly predictive trees, respectively, whereas Ki-67, p53 and EGFR were under 30% and thus, not considered as predictive. Our results indicate a role of β-catenin and Gli1 in GBM malignant behaviour, and suggest that inhibiting members of Wnt and Hedgehog pathways could be a valuable therapeutic strategy for GBM patients.

Malignant peripheral nerve sheath tumor (MPNST) is an aggressive soft tissue sarcoma for which the only effective therapy is surgery. In 2016, an international meeting entitled “MPNST State of the Science: Outlining a Research Agenda for the Future” was convened to establish short- and long-term research priorities. Key recommendations included the: 1) development of standardized, cost-efficient fluorodeoxyglucose positron emission tomography and whole-body magnetic resonance imaging guidelines to evaluate masses concerning for MPNST; 2) development of better understanding and histologic criteria for the transformation of a plexiform neurofibroma to MPNST; 3) establishment of a centralized database to collect genetic, genomic, histologic, immunohistochemical, molecular, radiographic, treatment, and related clinical data from MPNST subspecialty centers in a standardized manner; 4) creation of accurate mouse models to study the plexiform neurofibroma-to-MPNST transition, MPNST metastasis, and drug resistance; 5) use of trial designs that minimize regulatory requirements, maximize availability to patients, consider novel secondary end points, and study patients with newly diagnosed disease. Lastly, in order to minimize delays in developing novel therapies and promote the most efficient use of research resources and patient samples, data sharing should be incentivized.