Glioblastoma Brain Research Articles

Wasserstein HOG: Local Directionality Extraction via Optimal Transport.

Directionally sensitive radiomic features including the histogram of oriented gradient (HOG) have been shown to provide objective and quantitative measures for predicting disease outcomes in multiple cancers. However, radiomic features are sensitive to imaging variabilities including acquisition differences, imaging artifacts and noise, making them impractical for using in the clinic to inform patient care. We treat the problem of extracting robust local directionality features by mapping via optimal transport a given local image patch to an iso-intense patch of its mean. We decompose the transport map into sub-work costs each transporting in different directions. To test our approach, we evaluated the ability of the proposed approach to quantify tumor heterogeneity from magnetic resonance imaging (MRI) scans of brain glioblastoma multiforme, computed tomography (CT) scans of head and neck squamous cell carcinoma as well as longitudinal CT scans in lung cancer patients treated with immunotherapy. By considering the entropy difference of the extracted local directionality within tumor regions, we found that patients with higher entropy in their images, had significantly worse overall survival for all three datasets, which indicates that tumors that have images exhibiting flows in many directions may be more malignant. This may seem to reflect high tumor histologic grade or disorganization. Furthermore, by comparing the changes in entropy longitudinally using two imaging time points, we found patients with reduction in entropy from baseline CT are associated with longer overall survival (hazard ratio = 1.95, 95% confidence interval of 1.4-2.8, p = 1.65e-5). The proposed method provides a robust, training free approach to quantify the local directionality contained in images.

Modular tissue-in-a-CUBE platform to model blood-brain barrier (BBB) and brain interaction

With the advent of increasingly sophisticated organoids, there is growing demand for technology to replicate the interactions between multiple tissues or organs. This is challenging to achieve, however, due to the varying culture conditions of the different cell types that make up each tissue. Current methods often require complicated microfluidic setups, but fragile tissue samples tend not to fare well with rough handling. Furthermore, the more complicated the human system to be replicated, the more difficult the model becomes to operate. Here, we present the development of a multi-tissue chip platform that takes advantage of the modularity and convenient handling ability of a CUBE device. We first developed a blood-brain barrier-in-a-CUBE by layering astrocytes, pericytes, and brain microvascular endothelial cells in the CUBE, and confirmed the expression and function of important tight junction and transporter proteins in the blood-brain barrier model. Then, we demonstrated the application of integrating Tissue-in-a-CUBE with a chip in simulating the in vitro testing of the permeability of a drug through the blood-brain barrier to the brain and its effect on treating the glioblastoma brain cancer model. We anticipate that this platform can be adapted for use with organoids to build complex human systems in vitro by the combination of multiple simple CUBE units.

Zinc oxide nanoparticles exhibit anti-cancer activity against human cell lines

Zinc oxide nanoparticles have garnered tremendous interest in bio and nanomedical applications and more so in cancer research. In the present work, zinc oxide nanoparticles were synthesized using the solution combustion method and characterized by UV–vis spectroscopy, FTIR, XRD, SEM and EDX. The infrared spectrum of the synthesized nanoparticles had a peak at 547 cm−1 which indicated the elongation frequency of the zinc bond to oxygen. The XRD spectrum was confirmed with the ICDD Data Card No: 36-1451 for zinc oxide and the average size of zinc oxide nanoparticles was estimated to be 17.51 nm. Scanning electron microscopy confirmed the presence of zinc oxide nanoparticles as Zincite with a hexagonal structure having an average diameter of 30.95 nm. The DNA binding interactions of the nanoparticles were studied using the absorption titration method. The nanoparticles could bind via the non-intercalation mode with a binding efficiency of 3.563×105 M−1. The synthesized zinc oxide nanoparticles exhibited cytotoxic activity against the mammalian cancer cell lines tested with the calculated IC50 values being 3.66 µgmL−1 for MCF-7 (Breast), 2.91 µgmL−1 for LN-18 (Glioblastoma–Brain), 23.14 µgmL−1 for A-549 (Lung) and 94.33 µgmL−1 for SHSY-5Y (Neuroblastoma–Bone). The highest cell death was observed for LN-18 glioblastoma cells of the brain. The study demonstrated a simple and conventional method of synthesis of zinc oxide nanoparticles that have demonstrated anticancer activity as evidenced by the in vitro cell viability assays. The outcome of this study could be applied to develop zinc oxide nanoparticles as anticancer agents with further validation in vivo.

Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases.

Glioblastoma (GBM) and brain metastases (BMs) are the two most common malignant brain tumors in adults. Magnetic resonance imaging (MRI) is a commonly used method for screening and evaluating the prognosis of brain tumors, but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited. In recent years, deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system. This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases (SBMs), and to further explore the impact of multimodality data fusion on classification tasks. Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed. First, structural T1-weight, T1C-weight, and T2-weight were selected as 3 inputs to the entire model, regions of interest (ROIs) were manually delineated on the registered three modal MR images, and multimodality radiomics features were obtained, dimensions were reduced using a random forest (RF)-based feature selection method, and the importance of each feature was further analyzed. Secondly, we used the method of contrast disentangled to find the shared features and complementary features between different modal features. Finally, the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs. Furthermore, compared with single-modal data, the multimodal fusion models using machine learning algorithms such as support vector machine (SVM), Logistic regression, RF, adaptive boosting (AdaBoost), and gradient boosting decision tree (GBDT) achieved significant improvements, with area under the curve (AUC) values of 0.974, 0.978, 0.943, 0.938, and 0.947, respectively; our comparative disentangled multi-modal MR fusion method performs well, and the results of AUC, accuracy (ACC), sensitivity (SEN) and specificity(SPE) in the test set were 0.985, 0.984, 0.900, and 0.990, respectively. Compared with other multi-modal fusion methods, AUC, ACC, and SEN in this study all achieved the best performance. In the ablation experiment to verify the effects of each module component in this study, AUC, ACC, and SEN increased by 1.6%, 10.9% and 15.0%, respectively after 3 loss functions were used simultaneously. A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Novel Operation Mechanism and Multifunctional Applications of Bubble Microrobots.

Microrobots have emerged as powerful tools for manipulating particles, cells, and assembling biological tissue structures at the microscale. However, achieving precise and flexible operation of arbitrary-shaped microstructures in 3D space remains a challenge. In this study, three novel operation methods based on bubble microrobots are proposed to enable delicate and multifunctional manipulation of various microstructures. These methods include 3D turnover, fixed-point rotation, and 3D ejection. By harnessing the combined principles of the effect of the heat flow field and surface tension of an optothermally generated bubble, the bubble microrobot can perform tasks such as flipping an SIA humanoid structure, rotating a bird-like structure, and launching a hollow rocket-like structure. The proposed multi-mode operation of bubble microrobots enables diverse attitude adjustments of microstructures with different sizes and shapes in both 2D and 3D spaces. As a demonstration, a biological microenvironment of brain glioblastoma is constructed by the bubble microrobot. The simplicity, versatility, and flexibility of this proposed method hold great promise for applications in micromanipulation, assembly, and tissue engineering.

A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and attention mechanism network

This study proposes a deep convolutional neural network for the automatic segmentation of glioblastoma brain tumors, aiming sat replacing the manual segmentation method that is both time-consuming and labor-intensive. There are many challenges for automatic segmentation to finely segment sub-regions from multi-sequence magnetic resonance images because of the complexity and variability of glioblastomas, such as the loss of boundary information, misclassified regions, and subregion size. To overcome these challenges, this study introduces a spatial pyramid module and attention mechanism to the automatic segmentation algorithm, which focuses on multi-scale spatial details and context information. The proposed method has been tested in the public benchmarks BraTS 2018, BraTS 2019, BraTS 2020 and BraTS 2021 datasets. The Dice score on the enhanced tumor, whole tumor, and tumor core were respectively 79.90 %, 89.63 %, and 85.89 % on the BraTS 2018 dataset, respectively 77.14 %, 89.58 %, and 83.33 % on the BraTS 2019 dataset, and respectively 77.80 %, 90.04 %, and 83.18 % on the BraTS 2020 dataset, and respectively 83.48 %, 90.70 %, and 88.94 % on the BraTS 2021 dataset offering performance on par with that of state-of-the-art methods with only 1.90 M parameters. In addition, our approach significantly reduced the requirements for experimental equipment, and the average time taken to segment one case was only 1.48 s; these two benefits rendered the proposed network intensely competitive for clinical practice.

Determination of Fractionation Scheme Based on Repair Effect Using Equivalent Uniform Dose (EUD) Model

Radiotherapy treatment planning is required to obtain an optimal balance between delivering a high dose to target volume and a low dose to organ at risks. In this planning, it is also necessary to determine the appropriate fractionation scheme for each patient. One of the commonly used methods to determine the fractionation scheme is calculating the Normal Tissue Complication Probability (NTCP) and Tumor Control Probability (TCP) parameters. In this study, the Equivalent Uniform Dose (EUD) model is used to calculate NTCP and TCP. This model is based on a non-uniform dose distribution that is sensitive to the biological factors of cells. The biological factor examined in this research is the repair effect, which is the ability of cells to repair themselves after being radiated. Thus, the objective of this research is to determine the fractionation scheme based on NTCP calculations using the EUD model while taking into account the repair effect. The data used in this study were obtained from 10 patients with glioblastoma brain cancer in the form of cumulative DVH (dose-volume histogram) and total time of radiation. Based on the NTCP calculations, the average risk of organ complication for each patient appears to be close to zero, with a range of values from 2 x 10-6% to 1 x 10-1%. These results indicate that the treatment planning conducted is proven to be safe and there are no complications for the patients. Furthermore, based on the NTCP and TCP calculations, the best fractionation scheme is hypofractionation, which remains safe while considering the dose limit for each normal organ surrounding the target.

Differentiation of multiple brain metastases and glioblastoma with multiple foci using MRI criteria

ObjectiveGlioblastoma with multiple foci (mGBM) and multiple brain metastases share several common features on magnetic resonance imaging (MRI). A reliable preoperative diagnosis would be of clinical relevance. The aim of this study was to explore the differences and similarities between mGBM and multiple brain metastases on MRI.MethodsWe performed a retrospective analysis of 50 patients with mGBM and compared them with a cohort of 50 patients with multiple brain metastases (2–10 lesions) histologically confirmed and treated at our department between 2015 and 2020. The following imaging characteristics were analyzed: lesion location, distribution, morphology, (T2-/FLAIR-weighted) connections between the lesions, patterns of contrast agent uptake, apparent diffusion coefficient (ADC)-values within the lesion, the surrounding T2-hyperintensity, and edema distribution.ResultsA total of 210 brain metastases and 181 mGBM lesions were analyzed. An infratentorial localization was found significantly more often in patients with multiple brain metastases compared to mGBM patients (28 vs. 1.5%, p < 0.001). A T2-connection between the lesions was detected in 63% of mGBM lesions compared to 1% of brain metastases. Cortical edema was only present in mGBM. Perifocal edema with larger areas of diffusion restriction was detected in 31% of mGBM patients, but not in patients with metastases.ConclusionWe identified a set of imaging features which improve preoperative diagnosis. The presence of T2-weighted imaging hyperintensity connection between the lesions and cortical edema with varying ADC-values was typical for mGBM.

The incredible story of ophiobolin A and sphaeropsidin A: two fungal terpenes from wilt-inducing phytotoxins to promising anticancer compounds.

Covering: 2000 to 2023This review presents the exceptional story of ophiobolin A (OphA) and sphaeropsidin A (SphA), a sesterterpene and a diterpene, respectively, which were initially isolated as fungal phytotoxins and subsequently shown to possess other interesting biological activities, including promising anticancer activities. Ophiobolin A is a phytotoxin produced by different fungal pathogens, all belonging to the Bipolaris genus. Initially, it was only known as a very dangerous phytotoxin produced by fungi attacking essential cereals, such as rice and barley. However, extensive and interesting studies were carried out to define its original carbon skeleton, which is characterized by a typical 5 : 8 : 5 ring system and shared with fusicoccins and cotylenins, and its phytotoxic activity on host and non-host plants. The biosynthesis of OphA was also defined by describing the different steps starting from mevalonate and through the rearrangement of the acyclic C-25 precursor lead the toxin is obtained. OphA was also produced as a bioherbicide from Drechslera gigantea and proposed for the biocontrol of the widespread and dangerous weed Digitaria sanguinaria. To date, more than sixty ophiobolins have been isolated from different fungi and their biological activities and structure-activity relationship investigated, which were also described using their hemisynthetic derivatives. In the last two decades, thorough studies have been performed on the potential anticancer activity of OphA and its original mode of action, attracting great interest from scientists. Sphaeropsidin A has a similar story. It was isolated as the main phytotoxin from Diplodia cupressi, the causal agent of Italian cypress canker disease, resulting in the loss of millions of plants in a few years in the Mediterranean basin. The damage to the forest, environment and ornamental heritage are noteworthy and economic losses are also suffered by tree nurseries and the wood industry. Six natural analogues of SphA were isolated and several interesting hemisynthetic derivatives were prepared to study its structure-activity relationship. Surprisingly, sphaeropsidin A showed other interesting biological activities, including antibiotic, antifungal, and antiviral. In the last decade, extensive studies have focused on the anticancer activity and original mode of action of SphA. Furthermore, specific hemisynthetic studies enable the preparation of derivatives of SphA, preserving its chromophore, which showed a noteworthy increase in anticancer activity. It has been demonstrated that ophiobolin A and sphaeropsidin A are promising natural products showing potent activity against some malignant cancers, such as brain glioblastoma and different melanomas.

The role of cardiolipin and cytochrome c in mitochondrial metabolism of cancer cells determined by Raman imaging: in vitro study on the brain glioblastoma U-87 MG cell line.

In this paper, we present Raman imaging as a non-invasive approach for studying changes in mitochondrial metabolism caused by cardiolipin-cytochrome c interactions. We investigated the effect of mitochondrial dysregulation on cardiolipin (CL) and cytochrome c (Cyt c) interactions for a brain cancer cell line (U-87 MG). Mitochondrial metabolism was monitored by checking the intensities of the Raman bands at 750 cm-1, 1126 cm-1, 1310 cm-1, 1337 cm-1, 1444 cm-1 and 1584 cm-1. The presented results indicate that under pathological conditions, the content and redox status of Cyt c in mitochondria can be used as a Raman marker to characterize changes in cellular metabolism. This work provides evidence that cardiolipin-cytochrome c interactions are crucial for mitochondrial energy homeostasis by controlling the redox status of Cyt c in the electron transport chain, switching from disabling Cyt c reduction and enabling peroxidase activity. This paper provides experimental support for the hypothesis of how cardiolipin-cytochrome c interactions regulate electron transfer in the respiratory chain, apoptosis and mROS production in mitochondria.

Understanding current experimental models of glioblastoma-brain microenvironment interactions.

Glioblastoma (GBM) is a common and devastating primary brain tumor, with median survival of 16-18 months after diagnosis in the setting of substantial resistance to standard-of-care and inevitable tumor recurrence. Recent work has implicated the brain microenvironment as being critical for GBM proliferation, invasion, and resistance to treatment. GBM does not operate in isolation, with neurons, astrocytes, and multiple immune populations being implicated in GBM tumor progression and invasiveness. The goal of this review article is to provide an overview of the available in vitro, ex vivo, and in vivo experimental models for assessing GBM-brain interactions, as well as discuss each model's relative strengths and limitations. Current in vitro models discussed will include 2D and 3D co-culture platforms with various cells of the brain microenvironment, as well as spheroids, whole organoids, and models of fluid dynamics, such as interstitial flow. An overview of in vitro and ex vivo organotypic GBM brain slices is also provided. Finally, we conclude with a discussion of the various in vivo rodent models of GBM, including xenografts, syngeneic grafts, and genetically-engineered models of GBM.

Alkylating agents are possible inducers of glioblastoma and other brain tumors.

Epidemiological evidence of an association between exposure to chemical carcinogens and an increased risk for development of glioblastoma (GBM) is limited to weak statistical associations in cohorts of firefighters, farmers, residents exposed to air pollution, and soldiers exposed to toxic chemicals (e.g., military burn pits, oil-well fire smoke). A history of ionizing radiation therapy to the head or neck is associated with an increased risk of GBM. Ionizing radiation induces point mutations, frameshift mutations, double-strand breaks, and chromosomal insertions or deletions. Mutational profiles associated with chemical exposures overlap with the broad mutational patterns seen with ionizing radiation. Data on 16 agents (15 chemicals and radio frequency radiation) that induced tumors in the rodent brain were extracted from 602 Technical Reports on 2-years cancer bioassays found in the National Toxicology Program database. Ten of the 15 chemical agents that induce brain tumors are alkylating agents. Three of the 15 chemical agents have idiosyncratic structures and might be alkylating agents. Only two of the 15 chemical agents are definitively not alkylating agents. The rat model is thought to be of possible relevance to humans suggesting that exposure to alkylating chemicals should be considered in epidemiology studies on GBM and other brain tumors.

Hyphenation of lipophilic ruthenium(II)-diphosphine core with 5-fluorouracil: an effective metallodrug against glioblastoma brain cancer cells.

Glioblastoma multiforme (GBM) is the most common highly aggressive malignant brain tumor, with a very limited chance for survival post-diagnosis and post-treatment. Despite significant advancement in GBM genomics implicated in molecularly targeted chemotherapies, the prognosis remains poor and requires new drug discovery approaches. We used fluoropyrimidine 5-fluorouracil (5-FU), an antimetabolite anticancer drug conjugated or 'caged' within a lipophilic Ru(II)-diphosphine (dppe) core formulated as [RuII(dppe)2(5-FU)]PF6 (Ru-DPPE-5FU), where dppe = 1,2-bis(diphenylphosphino)ethane, and evaluated its in vitro cytotoxicity in depth with aggressive GBM cells (LN229). The hydrophilic nature of 5-FU limits its passage through the blood-brain barrier (BBB), which prevents its effective accumulation and efficacy for GBM tumors. Herein, we attempted to modulate the lipophilicity of 5-FU by inserting it within a well-designed lipophilic {Ru(dppe)2}-core with anticipated higher efficiency towards GBM. The physicochemical properties of [RuII(dppe)2(5-FU)]PF6 (Ru-DPPE-5FU) were studied using various spectroscopic and analytical techniques. The molecular structure was determined using X-ray crystallography, showing a distorted {RuP4NO} octahedral geometry with bidentate (N, O) binding of 5-FU and its aromatization in the Ru(II)-bound form. The 31P-NMR spectra of Ru-DPPE-5FU showed four closely spaced distinct 31P-signals, indicating four unique chemical environments around P, and the strong coupling constants between them make it a second-order spectrum. The RuII/RuIII redox potential in Ru-DPPE-5FU shifted by ∼0.91 V towards the anodic region as compared to its precursor complex cis-[Ru(dppe)2Cl2] (Ru-DPPE-Cl). DFT-based theoretical calculations have been performed to correlate the experimental electronic absorption spectra and redox behaviours of the complexes. The electrostatic potential (ESP) plots indicate the delocalization of the charge density on the O-/F-atom from the 5-FU ligand towards Ru(II) upon its complexation. The antioxidant properties of all the compounds were quantified by a 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay. The hyphenation of the 5-fluorouracil (5-FU) ligand to the lipophilic {Ru(dppe)2}-core endowed lipophilicity to Ru-DPPE-5FU with higher in vitro cytotoxicity (IC50 = 2.37 μM) against the LN229 GBM cells as compared to the hydrophilic 5-FU, suggesting efficient cellular uptake. Further biological assays indicated that the complex is highly potent in inhibiting significant proliferation and spheroid formation and restricting the migratory potentials of the GBM cells. Increased caspase 3/7 activity and the presence of apoptotic bodies at the center of 3-D GBM spheroids as revealed by AO/EB dual staining indicated a deeper penetration of the lipophilic complex. The Ru-DPPE-5FU complex displayed lower cytotoxicity in HaCaT normal cells (IC50 = 7.27 μM) in comparison to LN229 cancer cells with a selectivity index (S.I.) of ≥3. Overall, the synergism and caging of 5-FU within the hydrophobic {Ru(dppe)2}-core improves the pharmacokinetic profile of Ru-DPPE-5FU as a potent anticancer agent for glioblastoma.

Comprehensive analysis of the potential biological significance of cuproptosis-related gene LIPT2 in pan-cancer prognosis and immunotherapy

Lipoyltransferase 2 (LIPT2) acts as a key enzyme involved in fatty acid metabolism and cell membrane synthesis. However, the biological function of LIPT2 in various cancer types and its potential significance in prognosis continue to be unresolved. For this analysis, we evaluated the expression levels and the significance of prognosis of LIPT2 gene in all cancers by various bioinformatics methods. The results found that LIPT2 was dramatically overexpressed in the vast majority of cancers. The upregulated LIPT2 was related to bad prognosis in Brain Lower Grade Glioma (LGG), Glioma (GBMLGG), Glioblastoma multiforme (GBM), Kidney Chromophobe (KICH), and High-Risk Wilms Tumor (WT), while it had a favorable prognosis in Kidney renal clear cell carcinoma (KIRC), and Ovarian serous cystadenocarcinoma (OV), Pan-kidney cohort (KIPAN). Furthermore, we assessed the mutation status, methylation levels, and immune status of LIPT2 in pan-cancer. Single-cell sequencing results revealed the correlation of LIPT2 expression with various biological characteristics such as DNA lesion, tumor angiogenesis, cell apoptosis, metastasis, and invasion. Enrichment analysis unveiled potential molecular regulatory mechanisms. In conclusion, our research reveals a detailed key role of LIPT2 in the progression, prognosis, and immune efficacy of various forms of cancer. Therefore, we have reason to believe that LIPT2 has the potential to be a candidate biomarker for tumors.

Behavior of glioblastoma brain tumor stem cells following a suborbital rocket flight: reaching the “edge” of outer space

The emerging arena of space exploration has created opportunities to study cancer cell biology in the environments of microgravity and hypergravity. Studying cellular behavior in altered gravity conditions has allowed researchers to make observations of cell function that would otherwise remain unnoticed. The patient-derived QNS108 brain tumor initiating cell line (BTIC), isolated from glioblastoma (GBM) tissue, was launched on a suborbital, parabolic rocket flight conducted by EXOS Aerospace Systems & Technologies. All biologicals and appropriate ground controls were secured post-launch and transported back to our research facility. Cells from the rocket-flight and ground-based controls were isolated from the culture containers and expanded on adherent flasks for two weeks. In vitro migration, proliferation, and stemness assays were performed. Following cell expansion, male nude mice were intracranially injected with either ground-control (GC) or rocket-flight (RF) exposed cells to assess tumorigenic capacity (n = 5 per group). Patient-derived QNS108 BTICs exposed to RF displayed more aggressive tumor growth than the GC cells in vitro and in vivo. RF cells showed significantly higher migration (p < 0.0000) and stemness profiles (p < 0.01) when compared to GC cells. Further, RF cells, when implanted in vivo in the brain of rodents had larger tumor-associated cystic growth areas (p = 0.00029) and decreased survival (p = 0.0172) as compared to those animals that had GC cells implanted.

Abstract A148: The radiosensitizing effects of the novel brain penetrant and potent ATM inhibitor WSD0628 in glioblastoma and melanoma patient derived xenografts

Abstract Radiation therapy (RT) is an important non-surgical clinical treatment for glioblastoma (GBM) and brain metastases, but inherent radio-resistance can limit the efficacy in many patients. The Ataxia Telangiectasia Mutated (ATM) protein critically regulates radiotherapy-mediated DNA damage repair pathways, and defects in this kinase can lead to profound radiosensitivity. In this study, the efficacy of the highly potent ATM inhibitor WSD0628 was evaluated in GBM and melanoma brain metastasis patient derived xenografts (PDXs). In short term explant cultures of three PDXs, WSD0628 robustly suppressed RT-induced autophosphorylation of ATM at serine 1981 and ATM-mediated phosphorylation of Chk2 at threonine-68 and KAP1 at serine-824, with maximal inhibition at 100 nM. Similarly, RT-induced gH2AX foci were significantly reduced when combined with WSD0628 in the GBM43 cells. Consistent with the importance of ATM in the DNA damage response after radiation, WSD0628 significantly increased the radiosensitivity of U251 cells in clonogenic survival assays (0nM vs. 30nM at 5Gy, p&amp;lt;0.01). To evaluate the optimal duration of drug exposure, WSD0628 was removed from U251 cells at various intervals following irradiation with 5 Gy. Using clonogenic survival as a readout, a 10-fold increase in cytotoxicity was observed with an 8 hour drug exposure, with progressively increasing cytotoxicity gains with exposures up to 24 hours. In vivo efficacy of WSD0628 was evaluated in multiple intracranial PDX models. In an initial dose-ranging study, robust radiosensitization was observed in GBM43 treated with 2 Gy x 5 fractions combined with 5 mg/kg WSD0628 (20 day survival extension) or 10mg/kg WSD0628 (39 day with 10 mg/kg; p&amp;lt;0.01 for both dose levels). Moreover, a single dose of 12.5 Gy combined with 10 mg/kg WSD0628 had profound impact on treatment efficacy in the melanoma brain metastasis M12 PDX: at 180 days post-treatment, all mice in the combination group were electively euthanized, while median survival for sham or RT alone was 17d and 49d, respectively. Histologic analysis identified large intracranial tumors in all sham and RT-only treated mice, but only a small accumulation of melanotic cells without obvious tumor in the combination-treated mice. Immunohistochemical staining of NeuN and GFAP in the combination-treated mice showed preserved neuronal density at the 180-post treatment timepoint and minimal reactive gliosis within the ‘tumor scar’. An ongoing study is comparing this single-fraction 12.5 Gy regimen to a 2.4 Gy x 10 fraction regimen alone or in combination with WSD0628. Collectively, this study demonstrates the potential for profound radiosensitizing effects of WSD0628 in combination without obvious neuronal toxicity and has provided the scientific rational for the first-in-man study of this combination in recurrent GBM (NCT05917145) at Mayo Clinic. Citation Format: Zhiyi Xue, Ann C. Mladek, Sneha Rathi, Danielle M. Burgenske, Shiv K. Gupta, Brett L. Carlson, Zeng Hu, Lauren L Ott, Katrina K. Bakken, Rachael A. Vaubel, William F Elmquist, Wei Zhong, Jann N Sarkaria. The radiosensitizing effects of the novel brain penetrant and potent ATM inhibitor WSD0628 in glioblastoma and melanoma patient derived xenografts [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A148.

Eliciting calcium transients with UV nanosecond laser stimulation in adult patient-derived glioblastoma brain cancer cells in vitro

Objective. Glioblastoma (GBM) is the most common and lethal type of high-grade adult brain cancer. The World Health Organization have classed GBM as an incurable disease because standard treatments have yielded little improvement with life-expectancy being 6–15 months after diagnosis. Different approaches are now crucial to discover new knowledge about GBM communication/function in order to establish alternative therapies for such an aggressive adult brain cancer. Calcium (Ca2+) is a fundamental cell molecular messenger employed in GBM being involved in a wide dynamic range of cellular processes. Understanding how the movement of Ca2+ behaves and modulates activity in GBM at the single-cell level is relatively unexplored but holds the potential to yield opportunities for new therapeutic strategies and approaches for cancer treatment. Approach. In this article we establish a spatially and temporally precise method for stimulating Ca2+ transients in three patient-derived GBM cell-lines (FPW1, RN1, and RKI1) such that Ca2+ communication can be studied from single-cell to larger network scales. We demonstrate that this is possible by administering a single optimized ultra-violet (UV) nanosecond laser pulse to trigger GBM Ca2+ transients. Main results. We determine that 1.58 µJ µm−2 is the optimal UV nanosecond laser pulse energy density necessary to elicit a single Ca2+ transient in the GBM cell-lines whilst maintaining viability, functionality, the ability to be stimulated many times in an experiment, and to trigger further Ca2+ communication in a larger network of GBM cells. Significance. Using adult patient-derived mesenchymal GBM brain cancer cell-lines, the most aggressive form of GBM cancer, this work is the first of its kind as it provides a new effective modality of which to stimulate GBM cells at the single-cell level in an accurate, repeatable, and reliable manner; and is a first step toward Ca2+ communication in GBM brain cancer cells and their networks being more effectively studied.

Wild Chaga (Inonotus obliquus) modulates inflammation, neural cell survival and inhibits proliferation of cancer cells

Background and AimInonotus obliquus (Ach. Ex. Pers), commonly known as Chaga, is a parasitic fungus that grows on birch trees. Indigenous North Americans and Northern Eurasians have used Chaga tea as a folk medicine for centuries, and there are currently significant interests in commercializing Chaga products, obtained either from conks (sclerotia) collected from nature or from laboratory cultured mycelia. The cultured mycelia's identity to date is based solely on chemical profiling and the morphologic characteristics; and genome identity are often overlooked and unreported in the literature. The aims of this study include: 1. To authenticate mycelium isolates derived from a Chaga sclerotium; 2. To determine Chaga sclerotium's bioactivities unreported previously. Experimental proceduresIdentification of Chaga conk was carried out by chemical analyses, culture characteristics, and genome identity. The Chaga extracts’ bioactivities were evaluated via effects on cytokine and reactive oxygen species production on normal and cancer cell survival and proliferation. Results and ConclusionThe features of this mycelium isolate conformed to I. obliquus mycology, with > 99 % DNA sequence identity to the known GenBank Chaga Ribosomal Internal Spacer (ITS) sequence. Water extracts of Chaga were effective in protecting against oxidative stress in mouse neuroblastoma-spinal motor neuron NSC-34 cells and inhibited the proliferation of human brain glioblastoma DBTRG-05MG and pancreatic ductal adenocarcinoma PANC-1 cancer cell lines in vitro. In addition, the water extract potently stimulated inflammatory cytokines release from human blood cells, consistent with the biological response modifier features of mushroom beta- glucan polysaccharides.

Aptamers for the diagnosis and treatment of human glial tumors

Purpose of the study: to evaluate the feasibility of using functional analogues of protein antibodies – dNa/ RNa aptamers in diagnostics, treatment and prognosis of human brain glial tumors.Material and Methods. The relevant literature sources were searched in scopus, Web of science, pubmed, elibrary with inclusion of publications from 2000 to 2023. sixty articles are presented in the review.Results. The analysis of the literature devoted to classification, diagnostics and therapy of brain glioblastomas was carried out and the feasibility of using for in vivo diagnostics and therapy of this disease aptamers, which are molecular recognition elements based on DNA/RNA oligonucleotides, capable of binding to the given molecular targets and distinguishing even separate functional groups in them, was studied. A list of aptamers to human glial brain tumors and their molecular targets that can be used for diagnostics and therapy of glioblastoma, including tumor imaging by pet/ct, mRi, plasmon resonance, fluorescence and confocal microscopy, etc., is presented. literature data suggest that DNA/RNA aptamers can be used to search for circulating tumor cells in the blood of glioblastoma patients, to target therapeutic drugs to the tumor and to inhibit tumor growth.Conclusion. Brain glioblastoma is a heterogeneous tumor consisting of cells at different stages of malignancy and, accordingly, with a different set of oncogenes. For this reason, a multitarget strategy that includes combined suppression of angiogenesis, invasion, metastasis, proliferation and survival of tumor cells should be proposed for the therapy of this disease. DNA/RNA aptamers tailored to key proteins involved in oncogenic transformation may be suitable candidates for the implementation of multitarget therapy for brain glioblastoma.

STEM-06. OSMR INTERACTOME MAPPING REVEALS THE SIGNIFICANCE OF A CHLORIDE CHANNEL IN CYTOKINE REGULATION AND BRAIN TUMOUR STEM CELL SELF-RENEWAL

Abstract Oncostatin M Receptor (OSMR) is a key regulator of brain tumour stem cell (BTSC) self-renewal and glioblastoma (GB) tumourigenesis. This receptor is found in a complex with Epidermal Growth Factor Receptor variant III (EGFRvIII) and orchestrates a positive feedback loop with STAT3. OSMR also regulates oxidative phosphorylation and participates in promoting the transition of cells towards mesenchymal-like glioma states. How OSMR drives GB tumorigenesis via multiple mechanisms remains largely unclear. Here, we map OSMR interactome in different GB subtypes using the Mammalian Membrane Two Hybrid High Throughput Screen (MaMTH-HTS). Analysis of these data followed by functional validation has uncovered distinct OSMR interactome in a context dependent manner. Follow up investigations, however, have led to the discovery of the Chloride Intracellular Channel 1 (CLIC1), essential in the regulation of OSMR cytokine signaling and GB progression independently of the genetic profile of the GB tumour. CLIC1 forms a complex with OSMR to promote BTSC self-renewal and knockout of CLIC1 or pharmacological inhibitors to CLIC1 impairs OSM mediated STAT3 phosphorylation. Our work suggests that CLIC1 and OSMR form a complex in BTSCs and functionally interact to activate STAT3.