Novel Human Meningioma Organoids Recapitulate the Aggressiveness of the Initiating Cell Subpopulations Identified by ScRNA-Seq

A novel compound, SYHA1813, inhibits malignant meningioma growth directly by boosting p53 pathway activation and impairing DNA repair

Introduction

Meningioma is a common tumor of the central nervous system but effective therapies for malignant meningiomas are still lacking. Therefore, the development of novel therapeutic reagents is urgently needed. SYHA1813 is a novel compound and our previous study demonstrated its potent anti-tumor activity on glioblastoma through the inhibition of macrophages and human umbilical vein endothelial cells (HUVECs). However, the precise functional role of SYHA1813 in meningiomas remains unclear.

Method

We aimed to investigate the direct tumor-inhibitory effects of SYHA1813 on meningioma both in vitro and in vivo, and explore its potential molecular mechanisms.

Results

Our results showed that SYHA1813 suppressed the proliferation, colony formation, migration, and invasion of meningioma cells in vitro. Furthermore, we found SYHA1813 induced G2/M cell cycle arrest, apoptosis, and cellular senescence. Mechanistically, RNA-seq revealed that SYHA1813 activated the P53 pathway and impaired DNA repair. In vivo, SYHA1813 effectively inhibited the growth of meningioma xenografts in a mouse model. Additionally, in an ongoing first-inhuman phase I trial, this patient with recurrent meningioma provided preliminary clinical evidence supporting the anti-tumor activity of SYHA1813.

Discussion

This study unveiled a novel antitumor mechanism of SYHA1813, showing its ability to directly target and kill meningioma cells in vitro and in vivo. Our findings highlighted the promising potential of SYHA1813 as a therapeutic agent for treating malignant meningiomas.

Opportunities and challenges for patient-derived models of brain tumors in functional precision medicine

Here, we review a growing paradigm shift from genomics-based precision medicine toward functional precision medicine, which evaluates therapeutic efficacy by directly treating living patient tumors ex vivo to better predict patient-specific responses to treatment. We discuss several classes of patient-derived models of central nervous system tumors, highlighting unique features of each. Each class of models holds promise to improve treatment selection, prolong survival, and enhance patient outcomes.

Patient-Derived Meningioma Organoids: A Reliable Model for Studying Human Tumor Pathophysiology

Introduction: Meningiomas are the most common primary central nervous system tumors, constituting 39.7% of intracranial tumors. Although generally benign, some exhibit aggressive behavior and risk of recurrence, necessitating adjuvant therapy and repeat surgical interventions. Molecular studies have identified tumor-driving mutations, leading to targeted therapies and clinical trials. However, translating preclinical findings into clinical success is often hindered by limitations in current meningioma tumor models. This study aims to develop and validate a standardized protocol for establishing patient-derived meningioma organoids (MEN-Os) that faithfully replicate human disease. Methods: MEN-Os were successfully established from 15 meningioma samples (11 grade 1, 4 grade 2) from neurosurgical resections using an optimized culture protocol. Histological and immunohistochemical analyses were used to assess the resemblance of MEN-Os to original tumor tissues. RNA sequencing compared transcriptional signatures between MEN-Os and corresponding patient-resected tissues. Results: MEN-Os were successfully established from patient-resected samples and maintained in culture for up to four weeks, showing stable growth and structural integrity. Histopathological analysis revealed that MEN-Os preserved key architectural features, including cellular organization, nuclear morphology, and proliferation rates. Immunohistochemical staining for meningioma-specific markers, such as the progesterone receptor, confirmed similar expression patterns to parental tumors. Transcriptomic profiling demonstrated that MEN-Os retained the transcriptional signatures of original tissues, including genes associated with meningioma pathology (NF2, CDKN2A, TP53). Differential expression and deconvolution analyses showed that MEN-Os contained diverse cell populations, including tumor and stromal cells, while preserving the immune microenvironment, as validated by histopathological and transcriptomic profiling. Conclusion: We established a robust, reproducible protocol for generating MEN-Os, which faithfully replicates the histopathological, molecular, and cellular characteristics of original tumors. MEN-Os provide a valuable model for studying meningioma biology and evaluating therapeutic strategies.

Metastatic brain tumors: from development to cutting-edge treatment

Metastatic brain tumors, also called brain metastasis (BM), represent a challenging complication of advanced tumors. Tumors that commonly metastasize to the brain include lung cancer and breast cancer. In recent years, the prognosis for BM patients has improved, and significant advancements have been made in both clinical and preclinical research. This review focuses on BM originating from lung cancer and breast cancer. We briefly overview the history and epidemiology of BM, as well as the current diagnostic and treatment paradigms. Additionally, we summarize multiomics evidence on the mechanisms of tumor occurrence and development in the era of artificial intelligence and discuss the role of the tumor microenvironment. Preclinically, we introduce the establishment of BM models, detailed molecular mechanisms, and cutting-edge treatment methods. BM is primarily treated with a comprehensive approach, including local treatments such as surgery and radiotherapy. For lung cancer, targeted therapy and immunotherapy have shown efficacy, while in breast cancer, monoclonal antibodies, tyrosine kinase inhibitors, and antibody-drug conjugates are effective in BM. Multiomics approaches assist in clinical diagnosis and treatment, revealing the complex mechanisms of BM. Moreover, preclinical agents often need to cross the blood-brain barrier to achieve high intracranial concentrations, including small-molecule inhibitors, nanoparticles, and peptide drugs. Addressing BM is imperative.

Meningioma: International Consortium on Meningiomas consensus review on scientific advances and treatment paradigms for clinicians, researchers, and patients

Meningiomas are the most common primary intracranial tumors in adults and are increasing in incidence due to the aging population and increased access to neuroimaging. While most exhibit nonmalignant behavior, a subset of meningiomas are biologically aggressive and are associated with treatment resistance, resulting in significant neurologic morbidity and even mortality. In recent years, meaningful advances in our understanding of the biology of these tumors have led to the incorporation of molecular biomarkers into their grading and prognostication. However, unlike other central nervous system (CNS) tumors, a unified molecular taxonomy for meningiomas has not yet been established and remains an overarching goal of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy-Not Official World Health Organization (cIMPACT-NOW) working group. Additionally, clinical equipoise still remains on how specific meningioma cases and patient populations should be optimally managed. To address these existing gaps, members of the International Consortium on Meningiomas including field-leading experts, have prepared this comprehensive consensus narrative review directed toward clinicians, researchers, and patients. Included in this manuscript are detailed overviews of proposed molecular classifications, novel biomarkers, contemporary treatment strategies, trials on systemic therapies, health-related quality-of-life studies, and management strategies for unique meningioma patient populations. In each section, we discuss the current state of knowledge as well as ongoing clinical and research challenges to road map future directions for further investigation.

Investigating the Radiobiological Response to Peptide Receptor Radionuclide Therapy Using Patient-Derived Meningioma Spheroids

Peptide receptor radionuclide therapy (PRRT) using 177Lu-DOTA-TATE has recently been evaluated for the treatment of meningioma patients. However, current knowledge of the underlying radiation biology is limited, in part due to the lack of appropriate in vitro models. Here, we demonstrate proof-of-concept of a meningioma patient-derived 3D culture model to assess the short-term response to radiation therapies such as PRRT and external beam radiotherapy (EBRT). We established short-term cultures (1 week) for 16 meningiomas with high efficiency and yield. In general, meningioma spheroids retained characteristics of the parental tumor during the initial days of culturing. For a subset of tumors, clear changes towards a more aggressive phenotype were visible over time, indicating that the culture method induced dedifferentiation of meningioma cells. To assess PRRT efficacy, we demonstrated specific uptake of 177Lu-DOTA-TATE via somatostatin receptor subtype 2 (SSTR2), which was highly overexpressed in the majority of tumor samples. PRRT induced DNA damage which was detectable for an extended timeframe as compared to EBRT. Interestingly, levels of DNA damage in spheroids after PRRT correlated with SSTR2-expression levels of parental tumors. Our patient-derived meningioma culture model can be used to assess the short-term response to PRRT and EBRT in radiobiological studies. Further improvement of this model should pave the way towards the development of a relevant culture model for assessment of the long-term response to radiation and, potentially, individual patient responses to PRRT and EBRT.

Zebrafish-A Suitable Model for Rapid Translation of Effective Therapies for Pediatric Cancers

Pediatric cancers are the leading cause of disease-related deaths in children and adolescents. Most of these tumors are difficult to treat and have poor overall survival. Concerns have also been raised about drug toxicity and long-term detrimental side effects of therapies. In this review, we discuss the advantages and unique attributes of zebrafish as pediatric cancer models and their importance in targeted drug discovery and toxicity assays. We have also placed a special focus on zebrafish models of pediatric brain cancers-the most common and difficult solid tumor to treat.

Advanced Cellular Models for Rare Disease Study: Exploring Neural, Muscle and Skeletal Organoids

Organoids are self-organized, three-dimensional structures derived from stem cells that can mimic the structure and physiology of human organs. Patient-specific induced pluripotent stem cells (iPSCs) and 3D organoid model systems allow cells to be analyzed in a controlled environment to simulate the characteristics of a given disease by modeling the underlying pathophysiology. The recent development of 3D cell models has offered the scientific community an exceptionally valuable tool in the study of rare diseases, overcoming the limited availability of biological samples and the limitations of animal models. This review provides an overview of iPSC models and genetic engineering techniques used to develop organoids. In particular, some of the models applied to the study of rare neuronal, muscular and skeletal diseases are described. Furthermore, the limitations and potential of developing new therapeutic approaches are discussed.

A novel patient-derived meningioma spheroid model as a tool to study and treat epithelial-to-mesenchymal transition (EMT) in meningiomas

Meningiomas are the most common intracranial brain tumours. These tumours are heterogeneous and encompass a wide spectrum of clinical aggressivity. Treatment options are limited to surgery and radiotherapy and have a risk of post-operative morbidities and radiation neurotoxicity, reflecting the need for new therapies. Three-dimensional (3D) patient-derived cell culture models have been shown to closely recapitulate in vivo tumour biology, including microenvironmental interactions and have emerged as a robust tool for drug development. Here, we established a novel easy-to-use 3D patient-derived meningioma spheroid model using a scaffold-free approach. Patient-derived meningioma spheroids were characterised and compared to patient tissues and traditional monolayer cultures by histology, genomics, and transcriptomics studies. Patient-derived meningioma spheroids closely recapitulated morphological and molecular features of matched patient tissues, including patient histology, genomic alterations, and components of the immune microenvironment, such as a CD68 + and CD163 + positive macrophage cell population. Comprehensive transcriptomic profiling revealed an increase in epithelial-to-mesenchymal transition (EMT) in meningioma spheroids compared to traditional monolayer cultures, confirming this model as a tool to elucidate EMT in meningioma. Therefore, as proof of concept study, we developed a treatment strategy to target EMT in meningioma. We found that combination therapy using the MER tyrosine kinase (MERTK) inhibitor UNC2025 and the histone deacetylase (HDAC) inhibitor Trichostatin A (TSA) effectively decreased meningioma spheroid viability and proliferation. Furthermore, we demonstrated this combination therapy significantly increased the expression of the epithelial marker E-cadherin and had a repressive effect on WHO grade 2-derived spheroid invasion, which is suggestive of a partial reversal of EMT in meningioma spheroids.

The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery

Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes.

Micro-Engineered Organoid-on-a-Chip Based on Mesenchymal Stromal Cells to Predict Immunotherapy Responses of HCC Patients

Hepatocellular carcinoma (HCC) is one of the most lethal cancers worldwide. Patient-derived organoid (PDO) has great potential in precision oncology, but low success rate, time-consuming culture, and lack of tumor microenvironment (TME) limit its application. Mesenchymal stromal cells (MSC) accumulate in primary site to support tumor growth and recruit immune cells to form TME. Here, MSC and peripheral blood mononuclear cells (PBMC) coculture is used to construct HCC organoid-on-a-chip mimicking original TME and provide a high-throughput drug-screening platform to predict outcomes of anti-HCC immunotherapies. HCC-PDOs and PBMC are co-cultured with MSC and Cancer-associated fibroblasts (CAF). MSC increases success rate of biopsy-derived PDO culture, accelerates PDO growth, and promotes monocyte survival and differentiation into tumor-associated macrophages. A multi-layer microfluidic chip is designed to achieve high-throughput co-culture for drug screening. Compared to conventional PDOs, MSC-PDO-PBMC and CAF-PDO-PBMC models show comparable responses to chemotherapeutic or targeted anti-tumor drugs but more precise prediction potential in assessing patients' responses to anti-PD-L1 drugs. Moreover, this microfluidic platform shortens PDO growth time and improves dimensional uniformity of organoids. In conclusion, the study successfully constructs microengineered organoid-on-a-chip to mimic TME for high-throughput drug screening, providing novel platform to predict immunotherapy response of HCC patients.