David Noske

Background: Gliomas are primary brain tumors that integrate into the surrounding brain via neuron-glioma synapses and disrupt normal neuronal functioning. Recent work links tumor-brain connectivity to clinical measures such as patients’ functional status. However, few experimental systems allow the visualization of tumor and resident brain cell architecture together in human tissue at the scale needed to connect cellular organization to clinical outcomes. To address this gap, we developed an experimental framework for investigating the neuron-glioma network in organotypic human cortex from glioma patients, designed to support future correlation of cellular architecture to clinical outcomes such as functional status and survival. Methods: Brain tissue samples containing cortex from seven glioma patients were collected during tumor resection and cultured for seven days as organotypic slices. We established several multiplexed immunohistochemistry panels to stain for glioma cells, various types of resident brain cells including neurons and cells from the oligodendrocyte lineage, as well as axonal networks and myelination patterns. Results: We demonstrated the presence of tumor cells in all samples using SOX2, a tumor cell marker. NeuN+ neuronal cells were also successfully identified, as were cells from the oligodendrocyte lineage using SOX10 (pan-lineage marker), BCAS1 (pre-myelinating oligodendrocyte marker), and ASPA (mature oligodendrocyte marker). The neuronal network and myelin were successfully visualized using MAP2 (neurons and dendrites), SMI312 (axons), and PLP1 (myelin). Conclusions: High-quality visualization of tumor cells, resident brain cells and the (myelinated) neuronal network in organotypic human cortex from glioma patients is possible after seven days of culturing. Future studies could further optimize culture conditions and should study stability of all cellular components in longer term slice cultures. Preliminary analyses indicate that cellular measures derived from human organotypic slices can be linked to patients’ functional status, demonstrating the capacity to generate data suitable for large-scale investigation of the effects of glioma-brain network architecture on clinical outcomes.

Background: Epidermal growth factor receptor (EGFR) amplification occurs in ∼50% of IDH-wildtype glioblastoma (GBM) cases, frequently accompanied by expression of the oncogenic EGFRvIII variant. Although EGFR represents an attractive therapeutic target, EGFR-directed therapies have shown limited clinical efficacy in GBM. Resistance to kinase inhibitors is frequently attributed to activation of compensatory signaling pathways (“kinome rewiring”). We therefore investigated whether EGFR inhibition in GBM induces broad adaptive kinase responses that could be co-targeted to overcome resistance. Methods: We molecularly profiled 29 patient-derived GBM cell lines for EGFR status and selected five representative models spanning EGFR amplification states for functional analyses. Cells were treated with EGFR inhibitors and responses were assessed using viability assays, time-resolved immunoblotting, and phosphoproteomics (LC-MS/MS) with kinase activity inference. Results: EGFR inhibitors preferentially impaired viability in EGFR-driven models and transiently reduced EGFR phosphorylation during the initial response. However, partial restoration of EGFR phosphorylation and downstream signaling occurred after 24 hours of inhibitor exposure. Phosphoproteomics revealed no evidence of broad kinome rewiring within this timeframe but instead identified increased EGFR abundance, associated with partial restoration of EGFR pathway activity. The phosphorylated-to-total EGFR ratio remained stable, indicating that increased EGFR abundance may enable persistent residual kinase activity despite continued, but incomplete, target inhibition. Conclusions: Early responses to EGFR inhibition in GBM were not characterized by broad kinome rewiring but by restoration of EGFR signaling associated with increased EGFR abundance. These findings suggest that adaptive signaling remains largely EGFR-dependent despite inhibitor exposure, identifying regulation of EGFR abundance as a potential contributor to therapeutic resistance. Key points: - Early responses to EGFR inhibition occur without evidence of broad kinome rewiring. - EGFR signaling is restored during sustained inhibitor exposure. - Increased EGFR abundance is associated with restoration of pathway activity. Importance of the study: Adaptive resistance to EGFR-targeted therapies in GBM is commonly attributed to activation of alternative signaling pathways. Using patient-derived GBM models and phosphoproteomic profiling, we show that early adaptive responses to EGFR inhibition are not characterized by broad kinome signaling rewiring but instead remain centered on reactivation of EGFR signaling. Our findings suggest that increased EGFR abundance in response to inhibitor exposure may enhance residual EGFR signaling sufficiently to partially restore downstream pathway activity. These results indicate that early adaptive responses to EGFR inhibition may remain largely EGFR-dependent, potentially limiting the effectiveness of strategies primarily aimed at co-targeting alternative signaling pathways. Graphical

Summary: The human neocortex underlies higher cognition and is the engine of complex thought. Yet our understanding of its neuronal diversity is limited by sparse access to tissue, inconsistent sampling across studies, and a lack of multiple modality data. Although single-cell transcriptomic taxonomies are an important framework for characterizing cell type diversity, transcriptomic information alone cannot reveal the cellular properties that define neuronal computations. To address this, we performed Patch-seq, a method for collecting Morphology, Electrophysiology, and Transcriptomic data from a single neuron. We focused on glutamatergic, neocortical, excitatory neurons, the principal long-range projecting neurons of the cortex, and systematically integrated their morphoelectric features with transcriptomic identity. In combination with spatial transcriptomic data, we interrogated 39 of 42 transcriptomically-defined neuron types with a layer-centric perspective. Morphoelectric properties, such as cortical depth, apical dendrite structure, and excitability clearly distinguish transcriptomic subclasses and support many finer transcriptomic types. Morphoelectric properties are influenced by spatial location in supragranular layers, while deeper layers exhibit greater heterogeneity. Cross-species comparisons reveal conserved subclass organization but pronounced differences in apical dendrite arborization between mouse and human, and surprising similarities between human and macaque. Together, these datasets provide a unified multimodal reference that advances our understanding of human cortical circuitry and establishes a foundation for experimental and computational studies of human brain function and disease.

Supplementary Figure S2: Overview of averaged cell viability (n = 3) of all concentration-titrated combination therapies per cell line (continued)

Supplementary Figure S7: HRAS over expression in NF1 wildtype or NF1 mutant GB cell lines did not result in stronger synergy in dual mTOR/MEK inhibition.

Supplementary Figure S1: Overview of averaged cell viability (n = 3) of all concentration-titrated combination therapies per cell line.

Supplementary Figure S5: Gene signature analysis of transcriptomic data on primary cell lines.

Glioblastoma (GB) is the most common and aggressive brain-derived tumor. It often shows genetic alterations in kinase signaling pathways, such as the Pi3K/mTOR and RAS/MAPK pathways, which frequently converge onto oncogenic processes. However, it is unknown to what extend co-vulnerabilities exist within this network and which kinase drug targets are promising for GB treatment. We investigated the drug sensitivity of GB cell line models to monotherapy and synergy effects in dual combination therapy to targeting components of Pi3K/mTOR and RAS/MAPK pathways. In addition, we examined cell line drug sensitivities in relation to their individual genetic tumor-driving lesions [i.e., neurofibromin 1 (NF1) alterations as well as transcriptomic defined GB subtypes]. Synergy levels were correlated to in-lab generated phosphoproteomic data. Lastly, serial or simultaneous addition of MEK and mTOR inhibitors was investigated in longitudinal experiments. Dual inhibition of MEK and mTOR resulted in synergistic effects, which were associated with NF1 deficiency. Strong synergy effects were also associated with the mesenchymal subtype. Dual inhibition of MEK and mTOR led to prolonged growth inhibition in GB spheroids. In addition, sequential drug treatment resulted in similar growth inhibitory effects compared with simultaneous combination therapies. Our findings highlight the potential of dual inhibition strategies targeting multiple kinases for the treatment of GB, particularly in NF1-deficient and mesenchymal tumors, the most lethal subtype of GB.

Supplementary Table S8 shows Two-way ANOVA Tukey's multiple comparisons test U87 spheroid normalised drug effect