Citations

AbstractNeurodegenerative disorders are characterized by the gradual decline and irreversible loss of cognitive functions and CNS structures. As therapeutic recourse stagnates, neurodegenerative diseases will cost over a trillion dollars by 2050. A dearth of preventive and regenerative measures to hinder regression and enhance recovery has forced patients to settle for traditional therapeutics designed to manage symptoms, leaving little hope for a cure. In the last decade, pre‐clinical animal models and clinical investigations in humans have demonstrated the safety and promise of an emerging cellular product from subcutaneous fat. The adipose‐derived stromal vascular fraction (SVF) is an early intervention and late‐stage novel ‘at point’ of care cellular treatment, demonstrating improvements in clinical applications for Multiple Sclerosis, Alzheimer's disease, and Parkinson's disease. SVF is a heterogeneous fraction of cells forming a robust cellular ecosystem and serving as a novel and valuable source of point‐of‐care autologous cell therapy, providing an easy‐to‐access population that we hypothesize can mediate repair through ‘bi‐directional’ communication in response to pathological cues. We provide the first comprehensive review of all pre‐clinical and clinical findings available to date and highlight major challenges and future directions. There is a greater medical and economic urgency to innovate and develop novel cellular therapy solutions that enable the repair and regeneration of neuronal tissue that has undergone irreversible and permanent damage.

Real-time intraoperative delineation of cancer and non-cancer brain tissues, especially in the eloquent cortex, is critical for thorough cancer resection, lengthening survival, and improving quality of life. Prior studies have established that thresholding optical attenuation values reveals cancer regions with high sensitivity and specificity. However, threshold of a single value disregards local information important to making more robust predictions. Hence, we propose deep convolutional neural networks (CNNs) trained on labeled OCT images and co-occurrence matrix features extracted from these images to synergize attenuation characteristics and texture features. Specifically, we adapt a deep ensemble model trained on 5,831 examples in a training dataset of 7 patients. We obtain 93.31% sensitivity and 97.04% specificity on a holdout set of 4 patients without the need for beam profile normalization using a reference phantom. The segmentation maps produced by parsing the OCT volume and tiling the outputs of our model are in excellent agreement with attenuation mapping-based methods. Our new approach for this important application has considerable implications for clinical translation.

Stereotactic radiosurgery (SRS) and immune checkpoint inhibitors (ICIs) are widely used in the management of brain metastases. These therapies are commonly administered concurrently; as SRS may enhance anti-tumor immunity and responsiveness to ICIs. However, the use of ICIs with and without SRS in the management of primary brain tumors remains a controversial topic. Meningiomas are the most common nonmalignant and extra-parenchymal brain tumor, which often respond well to surgery and radiotherapy. However, higher grade meningiomas tend to be resistant to these treatments, and the use of chemotherapy and targeted agents in this setting have yielded disappointing results. Thus, there is heightened interest in the utilization of ICIs. Glioblastoma is the most common malignant primary intraparenchymal brain tumor. It is associated with a grim prognosis with a median overall survival of approximately 20 months, despite optimal therapy. While SRS in the adjuvant setting, and ICI in the recurrent setting, have failed to demonstrate a survival benefit, SRS in the preoperative setting has the potential to enhance anti-tumor immunity and responsiveness to ICIs. Thus, these treatments represent an attractive option to add to the armamentarium of meningioma and glioblastoma management. In this review, we provide a detailed overview of the evidence supporting the use of ICIs and SRS in each of these settings.

Abstract Glioblastoma (GBM) is the most common and aggressive primary neoplasm of the central nervous system. The location of GBM contributes significantly to patient outcomes, where tumors contacting the lateral ventricles (LVs) have increased expression of stem cell genes, increased incidence of distal recurrence, and decreased overall survival. While the reasons for these findings are not fully understood, we hypothesize they arise due to interactions with the subventricular zone (SVZ), the largest neurogenic niche in mammals. We examined bidirectional signals between GBM cells and neural progenitor cells (NPCs) in vitro and in vivo using a combination of patient-derived intraoperative samples, preclinical animal models, and the methionine tRNA synthetase L274G (MetRS*) nascent proteomic labeling system, which allows for cell-specific proteomics analysis from complex in vivo systems. In co-culture with NPCs, GBM cells increase their viability, proliferation, migration, and expression of malignancy-promoting proteins, including migratory proteins such as TAGLN, PALLD, and STAT1. In vivo, tumor proximity to the SVZ results in increased proliferation, increased expression of stemness markers, decreased survival, and altered tumor-specific proteome. We then examined the reciprocal effect of GBM cells on NPC biology. In vitro and in vivo, GBM cells decreased NPC proliferation and induced decreased neuronal maturation of NPCs. To determine NPC proteomic changes in vivo, we created a transgenic mouse line Nestin-CreERT2; STOPflox R26-MetRS L274G, where upon tamoxifen administration Nestin+ NPCs express GFP and MetRS*. Our results indicate that LV-proximal GBM induces decreased expression of neuronal maturation proteins such as Eml1, VGLUT1, and EAAT2, and an increase in pro-migratory factors such as Lamc1 in NPCs. In conclusion, there are bidirectional proteomic interactions between GBM cells and NPCs that contributes to altered neurogenesis and increased tumor malignancy of LV-proximal GBM. The signaling factors identified in our studies will result in identification of novel therapeutic targets for GBM.

Abstract Glioblastoma (GBM) is the most common and malignant primary brain tumor in adults. GBM tumors proximal to the lateral ventricles have a worse prognosis with multifocality, recurrence, and lower overall survival. Studies suggest this increased aggressiveness is attributed to cerebrospinal fluid (CSF), as we have previously observed transcriptomic changes in GBM cells upon CSF exposure. GlioVis database reveals chitinase 3-like protein 1 (CHI3L1), a glycoprotein secreted by immune and cancer cells, is associated with poor prognosis and co-expressed with pro-inflammatory and tissue remodeling genes. We suggest exposure to CSF elevates CHI3L1 expression, consequently impacting malignancy-associated gene expression in patient-derived GBM lines. We first evaluated if patient CSF influences the expression of CHI3L1. GBM cells were treated with artificial CSF, non-cancer CSF, or cancer CSF for 72 hours. qPCR revealed significant increases in CHI3L1 (p< 0.0001), SPP1, and CD44 expression in cancer CSF groups compared to artificial CSF. CHI3L1 expression at the protein level is also increased by cancer CSF when profiled using Western Blot. Additionally, ELISA results indicated significantly higher levels of CHI3L1 in CSF samples obtained from patients with high-grade tumors compared to non-cancer samples. Next, we assessed if exogenous CHI3L1 stimulates GBM malignancy at the cellular level. An effective concentration of recombinant human CHI3L1 was determined through Alamar Blue assay, showing 500 ng/ml CHI3L1 increases viability in primary patient cell lines compared to non-treated media. Recombinant CHI3L1 also increases cell migration in Transwell assay. qPCR revealed Vimentin (p< 0.001) and Twist (p< 0.0001) expression significantly increases while E-cadherin (p< 0.001) significantly decreases in CHI3L1-treated groups, consistent with EMT and migratory activity. Ultimately, this study shows CHI3L1 is a CSF-induced factor in GBM and could be a therapeutic target as it enhances tumor malignancy by increasing proliferation, migration, and malignancy-promoting gene expression.

Abstract Diffuse gliomas are aggressive brain tumors that lack effective therapies. Despite advances in the molecular characterization of gliomas, targeted treatments have failed to improve patient outcomes to date. Here, we employed a functional genomics approach to rapidly identify therapeutic vulnerabilities and provide a strategy to individualize patient treatment. Our process combined comprehensive genomic and transcriptomic tumor profiling, custom algorithms and visualization software for data integration, and preclinical 3-dimensional ex vivo models (mcancers) for drug screening to assess response to therapeutic agents targeting specific molecular alterations. A total of 32 cases, including 5 oligodendrogliomas (1 primary and 4 recurrent), 5 astrocytomas (1 primary and 4 recurrent), and 22 glioblastomas (5 primary and 17 recurrent), were included in the study. Immunohistochemistry and integrated genomics confirmed that mcancers maintain key molecular alterations, including mutations, chromosomal rearrangements and focal amplifications, cellularity, and heterogeneity, faithfully recapitulating the original tumor. A total of 119 single drugs and 183 combinations were tested, including a panel of 26-brain penetrant targeted agents (18 single drugs and 8 combinations) that was curated to target common glioma oncogenic pathways and was tested across all cases. A strong correlation was observed between therapeutic vulnerabilities of glioma mcancers to targeted agents (EGFR, MET, PDGFR, HDAC inhibitors, etc.) and clinical experience. Single agent activity of panel compounds in the ex vivo setting was generally poor, with only 35% mCancers exhibiting > 70% growth inhibition at Cmax. In contrast, combination strategies, especially ones including epigenetic drugs, were significantly more effective (affecting 22 out of 32 mCancers), underscoring the molecular complexity of gliomas and the need for clinical trials testing combination treatments. Our data identified a number of novel combination treatments with significant efficacy across glioma subtypes and molecular profiles, suggesting that our functional genomics pipeline can guide treatment selection and inform clinical trial enrollment for gliomas.

Abstract BACKGROUND Despite advances in cancer biology, surgery and its extent of resection remains the most important prognostic modulator in gliomas, with the distinction between infiltrated and non-infiltrated tissues being an issue at the penumbra. Isocitrate dehydrogenase (IDH) mutation is unique to IDH-mutant glioma cells and can be used as a potential surrogate for tumor infiltration. Here we evaluate desorption electrospray ionization-mass spectrometry (DESI-MS) as a near real-time method for detecting infiltration at the margin of IDH-mutant gliomas. METHODS We conducted a prospective study in which DESI-MS analysis was performed on freshly obtained tissue biopsies to detect the presence of 2-Hydroxyglutarate (2HG), with subsequent review of each sample by a board-certified neuropathologist. RESULTS A total of 247 biopsies from a 49-patient study were previously collected and analyzed at Indiana University. Assessment of IDH mutation status of 71 core biopsies yielded sensitivity, specificity, and accuracy values of 89, 100, and 94%, respectively. Subsequent improvement of the method, including the measurement of 2HG relative to an internal control (Glutamate, Glu), allowed for detection of IDH-mutant infiltration at surgical margins. We have collected 183 biopsies (116 core and 67 margin) from 23 patients. Preliminary results of IDH mutation assessments of core biopsies indicate 93% sensitivity, 100% specificity, and 98% accuracy and margin biopsies indicate 88% sensitivity, 100% specificity, and 94% accuracy. Tumor infiltration at the margin of the surgical resection by detection of IDH-mut infiltration was detected in 88% of margin biopsies from IDH mutant tumors (30 of 34 biopsies). CONCLUSION We present a novel method to allow intraoperative evaluation of IDH mutation presence in glioma margin biopsies. Our method and its ongoing validation identified tumor infiltration beyond surgical margins and serves as a foundation for molecularly guided surgery in IDH-mut gliomas via DESI-MS.

Abstract Glioblastoma (GBM) is the most aggressive adult brain tumor with no effective therapy. Despite advances on its molecular characterization, targeted therapeutics remain out of reach. This lack-of-progress is largely attributed to molecular and spatial heterogeneity and absence of clinically applicable models to guide patient care. Moreover, as standard surgical resection is aimed at contrast-enhancing (CE) tumor, the molecular landscape and treatment response of the remaining non-contrast enhancing (nCE) component is largely unknown despite its active role in tumor progression and local recurrence. Here, we aimed to identify the functional impact of tumor heterogeneity and to explore therapeutic vulnerabilities of both CE and nCE components. Four tumor regions (two CE and two nCE) from each of five GBM patients were collected under neuronavigation. The resulting tissue was subjected to generation of 3D tumor models (a brain tumor initiating-enriched cell line and a spheroid-based mcancer model) with comparable success in both CE and nCE samples. A panel of 25 brain penetrant drugs (alone and in combination) targeting GBM drivers (i.e. RTK/Ras/PI3K, RB/cell cycle, p53/apoptosis, DNA damage repair, transcription addiction) was developed and used to test for therapeutic vulnerabilities. From each tumor region, 4.5 ± 3.7 (average ± SD) different targeting strategies were identified exhibiting at least 70% growth inhibition at Cmax. Drug response heterogeneity was relatively rare, varied among cases, and was independent of tumor enhancement status. To our knowledge, this is the first study to systemically assess treatment response from both CE and nCE patient-derived GBM models. Ongoing studies include comprehensive genome and transcriptome profiling and pathway analysis from these different tumor regions. We postulate that interrogation of molecular landscapes and vulnerability profiles of both CE and nCE tumor regions, will enable us to personalize and prioritize effective targeted interventions for GBM treatment.

Abstract INTRODUCTION In patients with newly-diagnosed glioblastoma, rapid early progression (REP) refers to tumour regrowth between surgery and postoperative chemoradiotherapy. This systematic review and meta-analysis appraised published data on REP to better characterise and understand it. METHODS Systematic searches of MEDLINE, EMBASE and the Cochrane database from inception to 21/10/21. Studies describing the incidence of REP – tumour growth between the postoperative MRI scan and pre-radiotherapy MRI scan in newly-diagnosed glioblastoma, were included. The primary outcome was REP incidence. RESULTS From 1590 search results, 9 studies were included with 716 patients. The median age was 56.9 years (IQR 54.0-58.8 years). There was a male predominance with a median male-to-female ratio of 1.4 (IQR 1.1-1.5). The median number of days between MRI scans was 34 days (IQR 18-45 days). The mean incidence rate of REP was 45.9% (range 19.3%-72.0%) and significantly lower in studies employing functional imaging to define REP (p< 0.001). REP/non-REP groups were comparable with respect to age (p=0.99), gender (p=0.33) and time between scans (p=0.81). REP was associated with shortened overall survival (HR 1.78, 95% CI 1.30-2.43, p< 0.001), shortened progression-free survival (HR 1.78, 95% CI 1.30-2.43, p< 0.001), subtotal resection (OR 6.96, 95% CI 4-51-10.73, p< 0.001) and IDH wildtype versus mutant tumours (OR 0.20, 95% CI 0.02-0.38, p=0.03). MGMT promoter methylation was not associated with REP (OR 1.29, 95% CI 0.72-2.28, p=0.39). CONCLUSIONS REP occurs in almost half of patients with newly-diagnosed glioblastoma and has a strongly negative prognostic effect. Future studies should investigate its biology and effective treatment strategies.