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Despite aggressive multimodal therapy, glioblastoma (GBM) remains the most common malignant primary brain tumor in adults. With the advent of therapies that revitalize the anti-tumor immune response, several immunotherapeutic modalities have been developed for treatment of GBM. In this review, we summarize recent clinical and preclinical efforts to evaluate vaccination strategies, immune checkpoint inhibitors (ICIs) and chimeric antigen receptor (CAR) T cells. Although these modalities have shown long-term tumor regression in subsets of treated patients, the underlying biology that may predict efficacy and inform therapy development is being actively investigated. Common to all therapeutic modalities are fundamental mechanisms of therapy evasion by tumor cells, including immense intratumoral heterogeneity, suppression of the tumor immune microenvironment and low mutational burden. These insights have led efforts to design rational combinatorial therapies that can reignite the anti-tumor immune response, effectively and specifically target tumor cells and reliably decrease tumor burden for GBM patients.

Primary spinal osseous tumors are relatively rare, comprising ~5–10% of spinal bone neoplasms, whereas metastases account for the vast majority of spinal lesions. Patients commonly present with insidious back pain, sometimes with a focal mass, and constitutional symptoms are uncommon early in the disease course. As clinical features are often nonspecific and may overlap with degenerative, infectious, and metastatic disease, imaging plays an important role in lesion identification, characterization, and treatment planning. Computed tomography helps to define osseous architecture and matrix characteristics. Magnetic resonance imaging can assess marrow involvement, soft tissue extension, neural compression and intra-canal disease, and tumor vascularity. Together, advanced imaging modalities guide further workup, optimize biopsy planning, inform prognostic assessment and therapeutic decision-making, and anticipate mechanical instability or neural compromise. This narrative pictorial review synthesizes radiographic, CT, and MRI appearances of primary spinal tumors across major histologic lineages (e.g., osteogenic, chondrogenic, notochordal, vascular), illustrated with representative cases. We correlate imaging with clinical presentation to distinguish typical from atypical variants and highlight mimics and pitfalls with implications for diagnostic interpretation and management.

Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. In this study, we investigated functional drivers of post-treatment recurrent GBM through integrative genomic analyses, genome-wide genetic perturbation screens in patient-derived GBM models and independent lines of validation. Specific genetic dependencies were found consistent across recurrent tumor models, accompanied by increased mutational burden and differential transcript and protein expression compared to its primary GBM predecessor. Our observations suggest a multi-layered genetic response to drive tumor recurrence and implicate PTP4A2 (protein tyrosine phosphatase 4A2) as a modulator of self-renewal, proliferation and tumorigenicity in recurrent GBM. Genetic perturbation or small-molecule inhibition of PTP4A2 acts through a dephosphorylation axis with roundabout guidance receptor 1 (ROBO1) and its downstream molecular players, exploiting a functional dependency on ROBO signaling. Because a pan-PTP4A inhibitor was limited by poor penetrance across the blood–brain barrier in vivo, we engineered a second-generation chimeric antigen receptor (CAR) T cell therapy against ROBO1, a cell surface receptor enriched across recurrent GBM specimens. A single dose of ROBO1-targeted CAR T cells doubled median survival in cell-line-derived xenograft (CDX) models of recurrent GBM. Moreover, in CDX models of adult lung-to-brain metastases and pediatric relapsed medulloblastoma, ROBO1 CAR T cells eradicated tumors in 50–100% of mice. Our study identifies a promising multi-targetable PTP4A–ROBO1 signaling axis that drives tumorigenicity in recurrent GBM, with potential in other malignant brain tumors.

Background: The well-studied 18-residue-long proline-rich antimicrobial designer peptide Api137 utilizes at least two lethal intracellular mechanisms that target the bacterial 70S ribosome. First, Api137 stalls the ribosome by binding to the peptidyl-transferase center, trapping the release factor, and inhibiting protein expression. Second, Api137 disrupts the assembly of the large 50S subunit of the ribosome, resulting in partially assembled pre-50S dead-end particles that are unable to form the functional 70S ribosome. Methods: All six proline residues in Api137 were substituted with 4S- and 4R-fluoro-l-proline (Fpr), which promote the cis- and trans-conformer ratio of the preceding Xaa-Pro-bond, respectively. The effect on the antibacterial activity was studied using Escherichia coli. The underlying mechanisms were investigated by studying 70S ribosome binding, inhibition of in vitro translation, and ribosome profile analysis. Results: Interestingly, the analogs were equipotent to Api137, except for the 4S-Fpr11 and 4S-Fpr16 analogs, which were four times more or less active, respectively. The most active 4S-Fpr11 analog competed the least with Api137 for its ribosome binding site, suggesting a shifted binding site. Both Fpr14 and the 4S-Fpr16 analogs disturbed 50S subunit assembly less than Api137 or not at all. The strongest effect was observed with the 4R-Fpr16 analog resulting in the lowest 70S ribosome content and the highest pre-50S particle content. This peptide also showed the strongest competition with Api137 for its binding site. However, its antibacterial activity was similar to that of Api137, possibly due to its slower cellular uptake. Conclusions: Api137 inhibits protein translation and disrupts 50S assembly, which can be adjusted by substituting specific proline residues with fluoroproline. 4R-Fpr16 potently inhibits ribosome assembly and offers a novel, unexploited clinical mechanism for future antibiotic development.

Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem is therefore essential -- it helps people embrace AI with confidence and gives maximal space for innovation while avoiding backlash. The \"2025 Singapore Conference on AI (SCAI): International Scientific Exchange on AI Safety\" aimed to support research in this space by bringing together AI scientists across geographies to identify and synthesise research priorities in AI safety. This resulting report builds on the International AI Safety Report chaired by Yoshua Bengio and backed by 33 governments. By adopting a defence-in-depth model, this report organises AI safety research domains into three types: challenges with creating trustworthy AI systems (Development), challenges with evaluating their risks (Assessment), and challenges with monitoring and intervening after deployment (Control).