Medulloblastoma Research Articles

A simple and scalable zebrafish model of Sonic hedgehog medulloblastoma

Medulloblastoma (MB) is the most common malignant brain tumor in children and is stratified into three major subgroups. The Sonic hedgehog (SHH) subgroup represents ∼30% of all MB cases and has significant survival disparity depending upon TP53 status. Here, we describe a zebrafish model of SHH MB using CRISPR to create mutant ptch1, the primary genetic driver of human SHH MB. In these animals, tumors rapidly arise in the cerebellum and resemble human SHH MB by histology and comparative onco-genomics. Similar to human patients, MB tumors with loss of both ptch1 and tp53 have aggressive tumor histology and significantly worse survival outcomes. The simplicity and scalability of the ptch1-crispant MB model makes it highly amenable to CRISPR-based genome-editing screens to identify genes required for SHH MB tumor formation invivo, and here we identify the gene encoding Grk3 kinase as one such target.

HIF-1 inactivation empowers HIF-2 to drive hypoxia adaptation in aggressive forms of medulloblastoma

Medulloblastoma (MB) is the most prevalent brain cancer in children. Four subgroups of MB have been identified; of these, Group 3 is the most metastatic. Its genetics and biology remain less clear than the other groups, and it has a poor prognosis and few effective treatments available. Tumor hypoxia and the resulting metabolism are known to be important in the growth and survival of tumors but, to date, have been only minimally explored in MB. Here we show that Group 3 MB tumors do not depend on the canonical transcription factor hypoxia-inducible factor-1α (HIF-1α) to mount an adaptive response to hypoxia. We discovered that HIF-1α is rendered inactive either through post-translational methylation, preventing its nuclear localization specifically in Group 3 MB, or by a low expression that prevents modulation of HIF-target genes. Strikingly, we found that HIF-2 takes over the role of HIF-1 in the nucleus and promotes the activation of hypoxia-dependent anabolic pathways. The exclusion of HIF-1 from the nucleus in Group 3 MB cells enhances the reliance on HIF-2’s transcriptional role, making it a viable target for potential anticancer strategies. By combining pharmacological inhibition of HIF-2α with the use of metformin, a mitochondrial complex I inhibitor to block respiration, we effectively induced Group 3 MB cell death, surpassing the effectiveness observed in Non-Group 3 MB cells. Overall, the unique dependence of MB cells, but not normal cells, on HIF-2-mediated anabolic metabolism presents an appealing therapeutic opportunity for treating Group 3 MB patients with minimal toxicity.

Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level

Medulloblastomas (MBs) are malignant pediatric brain tumors that are molecularly and clinically heterogenous. The application of omics technologies—mainly studying nucleic acids—has significantly improved MB classification and stratification, but treatment options are still unsatisfactory. The proteome and their N-glycans hold the potential to discover clinically relevant phenotypes and targetable pathways. We compile a harmonized proteome dataset of 167 MBs and integrate findings with DNA methylome, transcriptome and N-glycome data. We show six proteome MB subtypes, that can be assigned to two main molecular programs: transcription/translation (pSHHt, pWNT and pG3myc), and synapses/immunological processes (pSHHs, pG3 and pG4). Multiomic analysis reveals different conservation levels of proteome features across MB subtypes at the DNA methylome level. Aggressive pGroup3myc MBs and favorable pWNT MBs are most similar in cluster hierarchies concerning overall proteome patterns but show different protein abundances of the vincristine resistance-associated multiprotein complex TriC/CCT and of N-glycan turnover-associated factors. The N-glycome reflects proteome subtypes and complex-bisecting N-glycans characterize pGroup3myc tumors. Our results shed light on targetable alterations in MB and set a foundation for potential immunotherapies targeting glycan structures.

VISTA Emerges as a Promising Target against Immune Evasion Mechanisms in Medulloblastoma.

Relapsed medulloblastoma (MB) poses a significant therapeutic challenge due to its highly immunosuppressive tumor microenvironment. Immune checkpoint inhibitors (ICIs) have struggled to mitigate this challenge, largely due to low T-cell infiltration and minimal PD-L1 expression. Identifying the mechanisms driving low T-cell infiltration is crucial for developing more effective immunotherapies. We utilize a syngeneic mouse model to investigate the tumor immune microenvironment of MB and compare our findings to transcriptomic and proteomic data from human MB. Flow cytometry reveals a notable presence of CD45hi/CD11bhi macrophage-like and CD45int/CD11bint microglia-like tumor-associated macrophages (TAMs), alongside regulatory T-cells (Tregs), expressing high levels of the inhibitory checkpoint molecule VISTA. Compared to sham control mice, the CD45hi/CD11bhi compartment significantly expands in tumor-bearing mice and exhibits a myeloid-specific signature composed of VISTA, CD80, PD-L1, CTLA-4, MHCII, CD40, and CD68. These findings are corroborated by proteomic and transcriptomic analyses of human MB samples. Immunohistochemistry highlights an abundance of VISTA-expressing myeloid cells clustering at the tumor-cerebellar border, while T-cells are scarce and express FOXP3. Additionally, tumor cells exhibit immunosuppressive properties, inhibiting CD4 T-cell proliferation in vitro. Identification of VISTA's binding partner, VSIG8, on tumor cells, and its correlation with increased VISTA expression in human transcriptomic analyses suggests a potential therapeutic target. This study underscores the multifaceted mechanisms of immune evasion in MB and highlights the therapeutic potential of targeting the VISTA-VSIG axis to enhance anti-tumor responses.

A group 3 medulloblastoma stem cell program is maintained by OTX2-mediated alternative splicing

OTX2 is a transcription factor and known driver in medulloblastoma (MB), where it is amplified in a subset of tumours and overexpressed in most cases of group 3 and group 4 MB. Here we demonstrate a noncanonical role for OTX2 in group 3 MB alternative splicing. OTX2 associates with the large assembly of splicing regulators complex through protein–protein interactions and regulates a stem cell splicing program. OTX2 can directly or indirectly bind RNA and this may be partially independent of its DNA regulatory functions. OTX2 controls a pro-tumorigenic splicing program that is mirrored in human cerebellar rhombic lip origins. Among the OTX2-regulated differentially spliced genes, PPHLN1 is expressed in the most primitive rhombic lip stem cells, and targeting PPHLN1 splicing reduces tumour growth and enhances survival in vivo. These findings identify OTX2-mediated alternative splicing as a major determinant of cell fate decisions that drive group 3 MB progression.

Machine Learning Analysis in Diffusion Kurtosis Imaging for Discriminating Pediatric Posterior Fossa Tumors: A Repeatability and Accuracy Pilot Study.

Background and purpose: Differentiating pediatric posterior fossa (PF) tumors such as medulloblastoma (MB), ependymoma (EP), and pilocytic astrocytoma (PA) remains relevant, because of important treatment and prognostic implications. Diffusion kurtosis imaging (DKI) has not yet been investigated for discrimination of pediatric PF tumors. Estimating diffusion values from whole-tumor-based (VOI) segmentations may improve diffusion measurement repeatability compared to conventional region-of-interest (ROI) approaches. Our purpose was to compare repeatability between ROI and VOI DKI-derived diffusion measurements and assess DKI accuracy in discriminating among pediatric PF tumors. Materials and methods: We retrospectively analyzed 34 children (M, F, mean age 7.48 years) with PF tumors who underwent preoperative examination on a 3 Tesla magnet, including DKI. For each patient, two neuroradiologists independently segmented the whole solid tumor, the ROI of the area of maximum tumor diameter, and a small 5 mm ROI. The automated analysis pipeline included inter-observer variability, statistical, and machine learning (ML) analyses. We evaluated inter-observer variability with coefficient of variation (COV) and Bland-Altman plots. We estimated DKI metrics accuracy in discriminating among tumor histology with MANOVA analysis. In order to account for class imbalances, we applied SMOTE to balance the dataset. Finally, we performed a Random Forest (RF) machine learning classification analysis based on all DKI metrics from the SMOTE dataset by partitioning 70/30 the training and testing cohort. Results: Tumor histology included medulloblastoma (15), pilocytic astrocytoma (14), and ependymoma (5). VOI-based measurements presented lower variability than ROI-based measurements across all DKI metrics and were used for the analysis. DKI-derived metrics could accurately discriminate between tumor subtypes (Pillai's trace: p < 0.001). SMOTE generated 11 synthetic observations (10 EP and 1 PA), resulting in a balanced dataset with 45 instances (34 original and 11 synthetic). ML analysis yielded an accuracy of 0.928, which correctly predicted all but one lesion in the testing set. Conclusions: VOI-based measurements presented improved repeatability compared to ROI-based measurements across all diffusion metrics. An ML classification algorithm resulted accurate in discriminating PF tumors on a SMOTE-generated dataset. ML techniques based on DKI-derived metrics are useful for the discrimination of pediatric PF tumors.

Survival-Related Genes on Chromosomes 6 and 17 in Medulloblastoma.

Survival of Medulloblastoma (MB) depends on various factors, including the gene expression profiles of MB tumor tissues. In this study, we identified 967 MB survival-related genes (SRGs) using a gene expression dataset and the Cox proportional hazards regression model. Notably, the SRGs were over-represented on chromosomes 6 and 17, known for the abnormalities monosomy 6 and isochromosome 17 in MB. The most significant SRG was HMGA1 (high mobility group AT-hook 1) on chromosome 6, which is a known oncogene and a histone H1 competitor. High expression of HMGA1 was associated with worse survival, primarily in the Group 3γ subtype. The high expression of HMGA1 was unrelated to any known somatic copy number alteration. Most SRGs on chromosome 17p were associated with low expression in Group 4β, the MB subtype, with 93% deletion of 17p and 98% copy gain of 17q. GO enrichment analysis showed that both chromosomes 6 and 17 included SRGs related to telomere maintenance and provided a rationale for testing telomerase inhibitors in Group 3 MBs. We conclude that HMGA1, along with other SRGs on chromosomes 6 and 17, warrant further investigation as potential therapeutic targets in selected subgroups or subtypes of MB.

Immunoexpression of Survivin and P53 in the Histological Subtypes of Medulloblastoma: A Cross-Sectional Observational Study.

Medulloblastoma (MB) is a common malignant intracranial neoplasms in children. The treatment and prognosis of this tumor depends on histology and molecular subtypes. Survivin, implicated in various malignancies, may hold prognostic significance. We investigated survivin and p53 immunoreactivity in different histological subtypes in 20 MB cases from January 2018 to June 2021. Immunohistochemistry revealed survivin expression in 75% (15/20) of cases, with cytoplasmic (10 cases), nuclear (four cases), or combined expression (one case). p53 nuclear expression was present in 35% (7/20) of cases. Classical variant MB exhibited predominant p53 and cytoplasmic survivin expression. Given the association of survivin and p53 expression with poor prognosis, especially in the prevalent classical variant, targeted therapies may hold promise for MB treatment advancement.

Identification of a prognosis-related phagocytosis regulator gene signature in medulloblastoma

ObjectivesThe aims of this study were to screen for phagocytosis regulator-related genes in tissue samples from children with medulloblastoma (MB) and to construct a prognostic model based on those genes. MethodsDifferentially expressed genes between the MB and control groups were identified using the GSE50161 dataset from the Gene Expression Omnibus database. Prognosis-related phagocytosis regulator genes were selected from the GSE85217 dataset. Intersecting genes of the two datasets (differentially expressed prognosis-related phagocytosis regulator genes) were submitted to unsupervised cluster analysis to identify disease subtypes, after which the association between the subtypes and the immune microenvironment was analyzed. A prognostic risk score model was constructed, and functional, immune-related, and drug sensitivity analyses were performed. ResultsIn total, 23 differentially expressed prognosis-related phagocytosis regulator genes were identified, from which two disease subtypes (clusters 1 and 2) were classified. The prognoses of the patients in cluster 2 were significantly worse than those of the patients in cluster 1. The immune microenvironment differed significantly between the two subtypes. Finally, 10 genes (FAM81A, EZR, NDUFB9, RCOR1, FOXO4, NHLRC2, KIF23, PTPN6, SMAGP, and MED13) were selected to establish the prognostic risk score model. The prognosis in the low-risk group was better than that in the high-risk group. The model genes NDUFB9 and PTPN6 were positively correlated with M2 macrophages. ConclusionTen key phagocytosis regulator genes were screened to construct a prognostic model for MB. These genes may serve as key biomarkers for predicting the prognosis of patients with this type of brain cancer.

Intracerebellar administration of the chemokine Cxcl3 reduces the volume of medulloblastoma lesions at an advanced stage by promoting the migration and differentiation of preneoplastic precursor cells

AbstractThe prognosis for many pediatric brain tumors, including cerebellar medulloblastoma (MB), remains dismal but there is promise in new therapies. We have previously generated a mouse model developing spontaneous MB at high frequency, Ptch1+/−/Tis21−/−. In this model, reproducing human tumorigenesis, we identified the decline of the Cxcl3 chemokine in cerebellar granule cell precursors (GCPs) as responsible for a migration defect, which causes GCPs to stay longer in the proliferative area rather than differentiate and migrate internally, making them targets of transforming insults. We demonstrated that 4‐week Cxcl3 infusion in cerebella of 1‐month‐old mice, at the initial stage of MB formation, forces preneoplastic GCPs (pGCPs) to leave lesions and differentiate, with a complete suppression of MB development. In this study, we sought to verify the effect of 4‐week Cxcl3 treatment in 3‐month‐old Ptch1+/−/Tis21−/− mice, when MB lesions are at an advanced, irreversible stage. We found that Cxcl3 treatment reduces tumor volumes by sevenfold and stimulates the migration and differentiation of pGCPs from the lesion to the internal cerebellar layers. We also tested whether the pro‐migratory action of Cxcl3 favors metastases formation, by xenografting DAOY human MB cells in the cerebellum of immunosuppressed mice. We showed that DAOY cells express the Cxcl3 receptor, Cxcr2, and that Cxcl3 triggers their migration. However, Cxcl3 did not significantly affect the frequency of metastases or the growth of DAOY‐generated MBs. Finally, we mapped the expression of the Cxcr2 receptor in human MBs, by evaluating a well‐characterized series of 52 human MBs belonging to different MB molecular subgroups. We found that Cxcr2 was variably expressed in all MB subgroups, suggesting that Cxcl3 could be used for therapy of different MBs.

Medulloblastoma Spatial Transcriptomics Reveals Tumor Microenvironment Heterogeneity with High-Density Progenitor Cell Regions Correlating with High-Risk Disease.

The tumor microenvironment (TME) of medulloblastoma (MB) influences progression and therapy response, presenting a promising target for therapeutic advances. Prior single-cell analyses have characterized the cellular components of the TME but lack spatial context. To address this, we performed spatial transcriptomic sequencing on sixteen pediatric MB samples obtained at diagnosis, including two matched diagnosis-relapse pairs. Our analyses revealed inter- and intra-tumoral heterogeneity within the TME, comprised of tumor-associated astrocytes (TAAs), macrophages (TAMs), stromal components, and distinct subpopulations of MB cells at different stages of neuronal differentiation and cell cycle progression. We identified dense regions of quiescent progenitor-like MB cells enriched in patients with high-risk (HR) features and an increase in TAAs, TAMs, and dysregulated vascular endothelium following relapse. Our study presents novel insights into the spatial architecture and cellular landscape of the medulloblastoma TME, highlighting spatial patterns linked to HR features and relapse, which may serve as potential therapeutic targets.

Medulloblastoma in children with Fanconi anemia: Association with FA-D1/FA-N, SHH type and poor survival independent of treatment strategies.

Outcome of children with medulloblastoma (MB) and Fanconi Anemia (FA), an inherited DNA repair deficiency, has not been described systematically. Treatment is complicated by high vulnerability to treatment-associated side effects, yet structured data are lacking. This study aims at giving a comprehensive overview about clinical and molecular characteristics of pediatric FA MB patients. Clinical data including detailed information on treatment and toxicities of six previously unreported FA MB patients were supplemented with data of 16 published cases. We identified 22 cases of children with FA and MB with clinical data available. All MBs with subgroup reporting were SHH-activated (n=9), confirmed by methylation profiling in five patients. FA MB patients exclusively belonged to complementation groups FA-D1 (n=16) or FA-N (n=3). Patients were treated with postoperative chemotherapy only (50%) or radiotherapy (RT)±chemotherapy (27%). 23% did not receive adjuvant therapy. Excessive treatment-related toxicities were frequent. Severe hematological toxicity occurred in 91% of patients treated with alkylating chemotherapy, while non-alkylating agents and RT were less toxic. Median overall survival (OS) was 1 year (95%CI 0.3-1.8). 1-year-progression-free-survival (PFS) was 26.3±10.1% and 1-year-OS was 42.1±11.3%. Adjuvant therapy prolonged survival (1y-OS/1y-PFS 0%/0% without adjuvant therapy vs. 53.3±12.9%/33.3±12.2% with adjuvant therapy, p=0.006/p=0.086). MB in FA patients is strongly associated with SHH activation and FA-D1/FA-N. Despite the dismal prognosis, adjuvant therapy may prolong survival. Non-alkylating chemotherapy and RT are feasible in selected patients with careful monitoring of toxicities and dose adjustments. Curative therapy for FA MB-SHH remains an unmet medical need.

Epidemiological trends and factors associated with survival in patients with medulloblastoma: A 45-year population-based retrospective study

Medulloblastoma (MB) is a primary brain malignancy. However, updated epidemiological data and long-term outcomes are lacking.The clinical and epidemiological datasets of patients with MB in the current study were obtained from the Surveillance, Epidemiology, and End Results (SEER) databases. Joinpoint regression models were used to assess the rate of changes in the incidence, prevalence, and treatment trends in patients with MB. Cox hazard and competition risk model analyses were used to assess overall survival (OS) and cancer-specific survival (CSS).The age-adjusted incidence of MB remained relatively stable at 0.15 per 100,000 individuals in 2019. The annual percentage change (APC) of females remained stable, whereas that of males increased over time. The 20-year limited-duration prevalence of patients with MB increased significantly from 0.00016 % in 1999 to 0.00203 % in 2018. Patients aged 5–19 years accounted for 46.7 % of all age groups, and the trend for the three treatments was increased. Average annual percentage change (AAPC) for the chemotherapy group was increased in patients aged 20 + years MB [AAPC = 2.66 (95 % CI 0.93–6.31)]. Multivariate analysis revealed that OS and CSS varied significantly according to age, year of diagnosis, histology, stage, surgery, and radiotherapy. Subgroup analysis showed that chemotherapy was associated with a favorable prognosis in high-risk groups.The incidence of MB remained relatively stable, and its prevalence increased significantly. This current population-based study further identified the prognostic factors in patients with MB. Moreover, the use of chemotherapy was associated with better survival in high-risk groups.

MDB-12. NANOPORE SEQUENCING AS A CUTTING-EDGE TECHNOLOGY FOR MEDULLOBLASTOMA CLASSIFICATION

Abstract INTRODUCTION Medulloblastoma (MB) is one of the most prevalent embryonal malignant brain tumors, divided into four distinct molecular subgroups (WNT, SHH, group 3, and group 4) with its individual prognosis. A more extensive classification of MB has recently been provided, identifying numerous subtypes, some with poor prognosis, leading to a significant number of patients succumbing to the disease while many survivors experience long-term side effects, highlighting the need for efficient subgrouping methods. Distinct genome-wide DNA methylation profiles characterize each MB subgroup, and the advent of Nanopore DNA sequencing has positioned itself as a reliable technique for comprehensive copy number and methylation profiling. MATERIAL AND METHODS We evaluated the ability of Nanopore sequencing to provide clinically relevant methylation and copy number profiles of MB, on a discovery cohort of 45 frozen MB samples, benchmarked against the gold standard EPIC array, and subsequently validated on a cohort of 116 MB samples. RESULTS The majority of MB in both the discovery cohort (43/45; 95.6%) and the validation cohort (110/116; 94.8%) were accurately subgrouped by Nanopore sequencing. Flongle flow cells for 18 MB allowed for a more rapid and cost-effective analysis, with 94.4% (17/18) being correctly classified. Additionally, Nanopore sequencing allowed us to correctly subtype 24/30 (80.0%) within MB groups. DISCUSSION We provided proof of concept that Nanopore sequencing can subgroup MB using DNA extracted from formalin-fixed paraffin-embedded (FFPE) samples and cell-free DNA obtained from cerebrospinal fluid. This first large-scale study establishes the proof of concept that this modern and innovative technology is well-suited for MB classification. We confirm the use of Nanopore sequencing on circulating DNA and present an initial exploration of its application on DNA extracted from FFPE samples. Its ability to deliver quick and cost-effective results firmly establishes Nanopore sequencing as a game-changer in the field of MB classification.

MDB-71. IDENTIFICATION AND DESCRIPTION OF A NOVEL TYPE OF MEDULLOBLASTOMA

Abstract BACKGROUND Medulloblastoma (MB) is one of the most frequent high-grade brain tumor types of childhood and adolescence. Based on biology, histology, and its clinical course, MB is a heterogeneous disease with four different molecular types (WNT, SHH, Group 3, and Group 4), which are most reliably distinguishable by their global DNA methylation pattern. METHODS We analyzed DNA methylation (n=47), copy number variants, transcriptomic data (n=7) and histology (n=28) of a previously unrecognized type of MB. RESULTS As a result of integrating DNA methylation data of &amp;gt;2,600 MB and screening of &amp;gt;140,000 data sets uploaded to the DKFZ brain tumor classifier (www.molecularneuropathology.org), we identified a small group of MB that displayed a homogeneous DNA methylation pattern, which was clearly distinct from previously known MB types. Tumors within this group have also been recognized as a separate methylation class by latest versions of the classifier, which has provisionally been named medullomyoblastoma (MB_MYO). Transcriptomic data were similarly distinct from other MB types. Comparison of these data to various cell types of the developing hindbrain revealed transcriptional similarities to precursor cells of the rhombic lip with signatures of WNT signaling and myogenic differentiation. In line with the latter findings, 2/11 cases with DNA sequencing data harbored hotspot CTNNB1 mutations and 5/28 cases showed a myogenic differentiation based on histology. MYC amplifications were present in 11/47 cases, corresponding to a higher fraction of MYC-amplified tumors compared to all known MB types. Median age at diagnosis in this cohort was 16 years, and five-year overall survival was ~75 %. CONCLUSIONS In summary, we describe a novel type of MB identified by DNA methylation profiling that likely needs to be addressed separately during the retrospective analyses of MB patient cohorts, for the design of future clinical trials, and when evaluating targeted therapies.

LMIC-01. SURVIVAL AND PROGNOSTIC FACTORS IN CHILDHOOD MEDULLOBLASTOMA SINGLE TERTIARY CENTER EXPERIENCE FROM KING FAHAD MEDICAL CITY KFMC SAUDI ARABIA

Abstract BACKGROUND Medulloblastoma (MB) is the most common childhood malignant brain tumor treated with intensive multimodalities therapy including Surgery, Craniospinal Radiation, and chemotherapy. Our study aims to document the clinical courses, prognostic factors, and survival outcomes in Saudi children above three years with Medulloblastoma treated in King Fahad Medical City KFMC. METHODS Retrospective analysis of MB patients diagnosed between January 2009 to January 2022 All patients received Risk-adapted Radiation therapy followed by maintenance chemotherapy,3 patients progressed and died after surgery and were excluded from analysis. RESULTS We identified 145 MB patients 65.5 % were male. median age at Diagnosis 7.00 years (range3-14 years), Age less than 5 years did not have a worse outcome in our cohort. Classic histology was predominant (80%), 42.1% of patients had metastatic disease at presentation; the Median time to start radiation therapy after surgery was 35 days. 51.7% were treated as High-Risk HR MB and Average Risk AR MB 48.3%. 65 cases having molecular testing for MB molecular subgroups. 6 patients 4.1% developed a second malignancy with a median time of 6 years post diagnosis. Multivariate survival analysis showed that progression-free survival was significantly reduced by the extent of surgical resection (P=0.021) and Metastatic MB at diagnosis(P=0.014). At Median follow-up of 7 years, Progression-free survival PFS and overall survival OS for the whole cohort were 72.4% and 71.7% respectively. PFS for AR MB and HR MB was 81.4% and 64.0% respectively. PFS analysis based on molecular subgroup: WNT subgroup 92.3%, SHH 69.2%, Group 4:57.7%:and group 3: 46.2%. CONCLUSIONS Our study is the largest analysis of childhood MB treatment outcomes in Saudi Arabia Defining the poor prognostic factor for these patients and will form the baseline for future pediatric Neuro-Oncology studies in KFMC, which may help to improve the outcome of childhood MB in Saudi Arabia.

MDB-78. ISOCITRATE DEHYDROGENASE 1 INHIBITION PRIMES GROUP-3 MEDULLOBLASTOMAS FOR CUPROPTOSIS

Abstract BACKGROUND MYC-driven Group-3 medulloblastomas (MB) are deadly and malignant pediatric brain cancers and we sought to define actionable metabolic dependencies in these tumors. METHODS To identify uniquely upregulated genes in Group-3 MB, we performed transcriptomic analysis on two previously published medulloblastoma RNA-seq datasets. To elucidate the relationship between c-MYC/IDH1/DLAT and assess impact on tumor metabolism, we performed metabolic and transcriptional profiling of Group-3 MB cell lines that were either untreated or were subjected to shRNA-mediated knockdown of DLAT or treatment with IDH1 inhibitor. We also treated Group-3 MB cell lines containing varying levels of DLAT expression with copper ionophore elesclomol and assessed its ability to induce toxicity. Finally, we established in vivo models of Group-3 MB via orthotopic implantation to assess the effect of DLAT knockdown, IDH1 inhibition, and cuproptosis induction on tumor growth and survival outcomes. RESULTS We identified upregulation of dihydrolipoyl transacetylase (DLAT), the E2-subunit of pyruvate dehydrogenase complex (PDC) in a subset of Group-3 MB. DLAT was induced by c-MYC and targeting DLAT lowered TCA-cycle metabolism and glutathione synthesis in Group-3 MB cells. We also noted upregulation of isocitrate dehydrogenase 1 (IDH1) in Group-3 MB. Remarkably, genetic and pharmacologic suppression of IDH1 epigenetically reduced c-MYC and downstream DLAT levels. DLAT is a central regulator of cuproptosis, a copper-dependent cell death mechanism induced by the copper ionophore elesclomol. DLAT expression in Group-3 MB cells correlated with increased sensitivity to cuproptosis. Elesclomol was CNS-penetrant and suppressed tumor growth in vivo in Group-3 MB animal models. CONCLUSIONS Our data uncover an IDH1/c-MYC dependent vulnerability that regulates DLAT levels and can be targeted to kill Group-3 MB by cuproptosis.

MDB-29. SALL4 IS A CRL3REN/KCTD11 SUBSTRATE THAT DRIVES SONIC HEDGEHOG-DEPENDENT MEDULLOBLASTOMA

Abstract BACKGROUND Medulloblastoma (MB) is the most common malignant pediatric brain tumor arising from alterations in cerebellum development. The Sonic Hedgehog variant (SHH MB) is the best genetically characterized, however the molecular mechanisms responsible for its pathogenesis are not fully understood and therapeutic benefits are still limited. Mutations in key components of the SHH pathway and cytogenetic alterations (such as chromosome 17p deletion) lay the pathogenetic foundation for SHH MB subgroup. RENKCTD11 (here REN) is a tumor suppressor and substrate-receptor subunit of the Cullin3 Ring E3 ubiquitin ligase (CRL3) complex mapping on chromosome 17p and frequently deleted in SHH MB. We wished to expand the knowledge of CRL3REN activity to unveil molecular circuitries whose deregulation can contribute to SHH MB onset and to uncover novel therapeutic targets. METHODS Affinity purification coupled to mass spectrometry was performed to identify new REN interactors. Co-immunoprecipitation and ubiquitylation assays validated proteomic data. The proliferation of primary murine SHH MB cells and Patient Derived Xenografts (PDXs) models was evaluated in vitro by using the IncuCyte imaging system. Heterotopic and orthotopic allograft in vivo models of SHH MB were established in immunodeficient mice. RESULTS Proteomic analysis revealed that the pro-oncogenic stemness Spalt-like transcriptional factor 4 (SALL4) interacts with REN. We found that SALL4 is re-expressed in mouse SHH MB models and its high levels correlate with worse overall survival in SHH MB patients. We demonstrate that CRL3REN induces polyubiquitylation and degradation of wild type SALL4, but not of a SALL4 mutant lacking zinc finger cluster 1 domain (ΔZFC1). Interestingly, SALL4 binds GLI1 and cooperates with HDAC1 to potentiate GLI1 deacetylation and transcriptional activity. Notably, inhibition of SALL4 suppress SHH MB growth both in murine and PDX models. CONCLUSIONS Our findings identify SALL4 as a CRL3REN substrate and a promising therapeutic target in SHH-dependent cancers.

MDB-45. THE PTBP2 SPLICING FACTOR IS ESSENTIAL IN GROUP 3/4 MEDULLOBLASTOMA

Abstract BACKGROUND Medulloblastoma (MB) is a common malignant pediatric brain tumor with significant heterogeneity among its four molecular subgroups: WNT, SHH, groups 3 and 4. There is a significant rate of disease recurrence with group 3/4 MB indicating a need for novel therapeutic targets. Since transcriptomic profiling of MB has not identified novel targets, we focused on a proteomic approach. We selected 157 proteins significantly over-expressed in Group 3/4 MB and performed a targeted loss-of-function CRISPR-Cas9 screen in four MB cell lines. We identified 17 essential genes shared by at least 2 of the cell lines. The PTBP2 splicing factor was essential for all cell lines. PTBP2 is an RNA-binding protein involved in splicing regulation that plays an important role during neuronal maturation. We hypothesize that persistent expression of PTBP2 results in a differentiation arrest and preservation of proliferative potential. METHODS We stably knocked-out PTBP2 expression in D556 and MB002 MB cells. We performed bulk RNA-seq and quantitative proteomics of these KO clones along with CLIP-seq to map PTBP2 targeted transcripts. We also performed phenotype assays, qPCR array and single-cell RNA-seq in KO clones to validate proliferation and neuronal differentiation. RESULTS RNA-seq in PTBP2 KO MB cells revealed 2,213 differentially expressed genes predominantly involved in neuronal differentiation. These genes were cross-referenced with quantitative proteomic and eCLIP data. Using RNAseq from clinical samples, splice inclusion analysis based upon PTBP2 bound transcripts neatly segregated Group 3/4 MB from SHH and WNT. PTBP2 KO cells exhibited reduced proliferation and, upon stimulation, increased differentiated morphology compared to controls. This latter observation was further supported by qPCR array and single-cell RNA-seq. CONCLUSIONS The results suggests that the loss of PTBP2 expression stimulates MB differentiation with a subsequent reduction of proliferation activity and nominates PTBP2 and its downstream effectors as potential therapeutic targets in group 3/4 MB.

NFS-03. MEDULLOBLASTOMA IN CHILDREN WITH FANCONI ANEMIA: ASSOCIATION WITH FA-D1/FA-N, SHH TYPE AND POOR SURVIVAL INDEPENDENT OF TREATMENT STRATEGIES

Abstract BACKGROUND Outcome of children with medulloblastoma (MB) and Fanconi Anemia (FA), an inherited DNA repair deficiency, has not systematically been described. Treatment is complicated by high vulnerability to treatment-associated side effects, yet structured data are lacking. This study provides a comprehensive overview about clinical and molecular characteristics of pediatric FA MB patients. METHODS Clinical data including detailed information on treatment and toxicities of six previously unreported FA MB patients were supplemented with data of 16 published cases. RESULTS We identified 22 cases of children with FA and MB with clinical data available. Biological subgroup was SHH in all cases with data available (n=9), confirmed by methylation profiling in five patients. FA MB patients exclusively belonged to complementation groups FA-D1 (n=16) or FA-N (n=3). Patients were treated with postoperative chemotherapy only (50%) or radiotherapy (RT)±chemotherapy (27%). 23% did not receive adjuvant therapy. Excessive treatment-related toxicities were frequent. Severe hematological toxicity occurred in 91% of patients treated with alkylating chemotherapy, while non-alkylating agents and RT were less toxic. 14 patients (63.6%) developed 20 other malignancies, of which ten occurred before, five simultaneously with and five after MB diagnosis. Median overall survival (OS) was 1 year (95%CI 0.3-1.9). 1-year-progression-free-survival (PFS) was 26.3±10.1% and 1-year-OS was 42.1±11.3%. Adjuvant therapy prolonged survival (1y-OS/1y-PFS 0%/0% without adjuvant therapy vs. 53.3±12.9%/33.3±12.2% with adjuvant therapy, p=0.006/p=0.086), with no difference whether the patient had received chemotherapy only or RT±chemotherapy. CONCLUSIONS MB in FA patients is strongly associated with SHH activation and FA-D1/FA-N. Despite the dismal prognosis, adjuvant therapy may improve survival. Non-alkylating chemotherapy and RT are feasible in selected patients with careful monitoring of toxicities and dose adjustments. Unlike in standard MB protocols, focal RT may be considered in FA MB patients. Curative therapy for FA MB-SHH remains an unmet medical need.