IMMU-20. MODULATION OF THE PERIPHERAL T CELL BIOLOGY IN GLIOBLASTOMA

Cancer is a systemic disease. Due to the exceedingly rare occurrence of metastasis of cerebral glioma, systemic alterations have, however, not been considered to play a major role in disease progression of glioma. T cells orchestrate the adaptive immune response in an antigen-specific, cytokine mediated manner. The aim of our study was to investigate how cerebral glioma impacts systemic T cell immunobiology. We performed gene expression profiling of peripheral blood T cells in patients with IDHwt glioblastomas as well as in a murine glioma model. In addition, we analyzed the levels of soluble immune biomarkers in patient blood and performed flow-cytometric phenotyping of human peripheral blood CD3+ T cells. We discovered a significant skewing of peripheral T cell phenotypes in IDHwt glioblastoma patients compared to healthy donors (HD), showing CD4+ TH1 expansion and reduced numbers of T follicular helper cells (TFH), TH1* and mucosa associated invariant T (MAIT) cells, while TH2 and TH17 percentages remained stable. Interestingly, peripheral memory CD4+ T cells exhibited reduced Fas and PD-1 expression, while CD8 T cells were primarily affected in the non-memory CD45RA+ compartment, displaying reduced numbers of CD8+ CD127+ CD27+ cells. Compared to healthy individuals, GBM patients had significantly increased levels of soluble CD27 while levels of soluble CD25 were reduced (p < 0.05). GSEA and ORA analysis of differentially expressed genes in murine gliomas showed alterations in RNA binding and processing, as well as ribosomal activity in both cell types, indicating systemic modulation in translational- and cell cycle pathways in glioblastoma. Taken together, our results demonstrate a significant skewing of the peripheral T immunobiology in patients with IDHwt gliomas. Our data highlights the importance of considering malignant glioma as a systemic disease that fundamentally alters the immune repertoire in affected patients.

PATH-33. “GENETIC AND EPIGENETIC PROFILING IDENTIFIES TWO DISTINCT CLASSES OF SPINAL MENINGIOMAS”

BACKGROUND

Spinal meningiomas account for 1.2-12 % of all meningiomas and 25-45 % of all spinal tumours. 20 % of intracranial, but only 4.6 % of spinal meningiomas recur requiring additional treatment. Whereas the classification of intracranial meningiomas has evolved considerably in recent years and uses genetic and epigenetic parameters, the classification of spinal meningiomas is based solely on histopathological findings. By embedding epi-/genetic features, the prognosis of intracranial meningiomas could be significantly improved, which is still lacking for spinal meningiomas. In our work, we integrated genetic and epigenetic parameters into the classification of spinal meningiomas.

METHODS

We performed epi-/genetic profiling of 50 spinal meningiomas. 497 intracranial meningiomas served as a reference cohort. Copy number variations (CNV) were inferred from the methylation data. Principal component (PCA) and t-SNE analysis were conducted. Clinical and histopathological parameters (location, size, recurrence, WHO°, pathological subtype) were correlated with methylation signatures using the DKFZ brain tumour classifier.

RESULTS

The methylation signature of spinal meningiomas matched to that of intracranial meningiomas (50/50), although meningioma subgroup assignment was achieved in only 13/50 cases. PCA and t-SNE analysis showed that most spinal meningiomas separate from cranial meningiomas and form two distinct clusters. Cluster 1 matched the methylation class ben-2, while cases in cluster 2 were heterogenous and had a low MSC score. Cases of cluster 1 were located in the upper spine, are more common in males and had an AKT1E17K mutation. NF2 mutations were found mainly in the second cluster, in line with a chr.22 q loss. Interestingly 4 tumors did not associate with the two spinal meningioma clusters and had a particular higher recurrence rate.

CONCLUSION

Genetic and epigenetic profiling of spinal meningiomas identifies two distinct classes of spinal meningiomas, which may allow an improved prognosis that could lead to a better guidance for adjuvant therapy.

PATH-47. THE CHALLENGE AND THERAPEUTIC RELEVANCE OF A NON-MATCHING CLASSIFIER OUTPUT USING GENOME-WIDE DNA METHYLATION FOR CLINICAL ROUTINE

DNA methylation-based classification of central nervous system tumours has been increasing in importance for routine clinical workups and offers novel opportunities in discriminating subtypes which could lead to a more customized therapy. However, there are still unclassifiable entities for which defining an effective therapeutic regimen is challenging. The aim of our study was to gain further insight in these challenging cases. We included 81 patients with a calibrated score below 0.9 in the classifier output, who underwent surgery for a tumour of the central nervous system (CNS). 47 patients had a different output using the classifier version v11b4 when compared to their histological diagnosis. Of these, 41 patients (87.2 %) did not have any diagnosis from the methylation classifier (“no matching methylation class”). Surgical and clinicopathological features as well as DNA input had no impact on the calibrated score. Cases with non-classifiable tumors had a significantly longer time until a decision for adjuvant therapy and these cases were presented more often in neurooncological tumor boards (p< 0.01). Further analyses in 23 glioblastoma patients revealed comparable results for the overall survival, but a significantly shorter progression-free survival in cases with a discrepancy between the histological and classifier diagnosis. Application of the latest classifier version v12.5 enabled classification in 67.9% of cases, resulting in re-classification with a high calibrated score (> 0.9) in 25.7% of the tumors. Taken together, our study presents unclassifiable cases and the possible clinical impact when waiting for the accurate diagnosis in these challenging cases. Even though DNA methylation profiling significantly contributes to advanced CNS tumour diagnostics, clinicians should be aware of a prolonged interval to treatment initiation, especially for highly malignant brain tumours. Therefore, we would recommend to schedule adjuvant treatment as early as possible if surgical and histological results are suspicious for this disease.

BIOM-52. DIAGNOSTIC POTENTIAL OF EXTRACELLULAR VESICLES IN MENINGIOMA PATIENTS

Standard monitoring after meningioma resection relies on serial MRI examinations, which are time-consuming, expensive and provide no information on molecular alterations that may indicate progression towards a more aggressive tumor. Extracellular vesicles (EVs) secreted by tumor cells play an important role in cell-cell communication, and tumor-derived EVs circulating in patient blood can serve as biomarkers. We investigated the potential role of plasma EVs in meningioma patients for tumor detection and determined whether EVs secreted by meningioma cells reflect epigenetic, genomic and proteomic alterations of original tumors. EV concentrations were quantified in patient plasma (n = 46). Short-term meningioma cultures were established (n = 26) and secreted EVs were isolated. Methylation and copy number profiling was performed using 850k arrays, and mutations were identified by targeted gene panel sequencing. Differential quantitative mass spectrometry was employed for proteomic analysis. We found that the levels of circulating EVs were significantly elevated in meningioma patients compared to healthy individuals, and that plasma EV concentrations correlated with malignancy grade and extent of peritumoral edema. Postoperatively, EV counts dropped to normal levels, and the magnitude of the postoperative decrease was associated with extent of tumor resection (Simpson grade). Methylation profiling of EV-DNA allowed correct tumor classification as meningioma in all investigated cases, and accurate methylation subclass assignment in nearly all cases. Copy number variations present in tumors, as well as tumor-specific mutations were faithfully reflected in meningioma EV-DNA. Proteomic EV profiling did not permit original tumor identification but revealed tumor-associated proteins such as desmoplakin that could potentially be utilized to enrich meningioma EVs from biofluids. In conclusion, elevated EV levels in meningioma patient plasma may aid in tumor diagnosis and assessment of treatment response. Meningioma EV-DNA mirrors genetic and epigenetic tumor alterations and facilitates molecular tumor classification.

BIOM-39. METHYLATION AND MUTATION PROFILES IN MENINGIOMA CELL-DERIVED EXTRACELLULAR VESICLE DNA REFLECT EPIGENETIC AND GENOMIC ALTERATIONS IN ORIGINAL TUMORS

The majority of meningiomas are benign but approximately 20% of display an aggressive behavior, resulting in significant patient morbidity and mortality. Standard monitoring after meningioma resection relies on serial MRI examinations, which are time-consuming, expensive and provide no information on molecular alterations that may indicate progression towards a more aggressive tumor. Extracellular vesicles (EVs) are released by tumor cells and contain high molecular weight DNA, rendering circulating EVs a potential biomarker source for non-invasive disease monitoring and for obtaining information on genetic and epigenetic alterations. We quantified EVs in plasma of 46 meningioma patients (n = 29 M1, 12 M2, 5 M3) by nanoparticle tracking analysis and detected significantly higher levels compared to age-matched healthy donors (n = 18). EV concentrations correlated with malignancy grade (p = 0.0049) and with the extent of peritumoral edema (p = 0.0031). Comparisons between paired pre- and postoperative samples revealed that EV levels counts dropped significantly the day after tumor resection and were reduced to normal levels after about one week. Completely resected patients (Simpson grade I) displayed a greater reduction of postoperative EV concentrations than incompletely resected patients. DNA methylation profiling was performed on EVs secreted by cultured meningioma cells, as well as matched cells and original tumors using 850k arrays (n = 7 M1, 5 M2, 3 M3). All EV samples were correctly identified as meningiomas by the Heidelberg classifier, and methylation subclasses were also correctly assigned in almost all cases. t-SNE analysis showed that EVs mapped in close proximity to their corresponding parental cells and tumor tissue. Tumor specific mutations and copy number variations were detected in EV-DNA with high accuracy. Differential quantitative proteomic analysis of EVs, cells and tumors identified shared proteins that could potentially be useful for enriching tumor-derived circulating EVs from biofluids.

Local Intracerebral Immunomodulation Using Interleukin-Expressing Mesenchymal Stem Cells in Glioblastoma

PURPOSE

Mesenchymal stem cells (MSCs) show an inherent brain tumor tropism that can be exploited for targeted delivery of therapeutic genes to invasive glioma. We assessed whether a motile MSC-based local immunomodulation is able to overcome the immunosuppressive glioblastoma microenvironment and to induce an antitumor immune response.

EXPERIMENTAL DESIGN

We genetically modified MSCs to coexpress high levels of IL12 and IL7 (MSC^IL7/12, Apceth-301). Therapeutic efficacy was assessed in two immunocompetent orthotopic C57BL/6 glioma models using GL261 and CT2A. Immunomodulatory effects were assessed by multicolor flow cytometry to profile immune activation and exhaustion of tumor-infiltrating immune cells. Diversity of the tumor-specific immune response as analyzed using T-cell receptor sequencing.

RESULTS

Intratumoral administration of MSC^IL7/12 induced significant tumor growth inhibition and remission of established intracranial tumors, as demonstrated by MR imaging. Notably, up to 50% of treated mice survived long-term. Rechallenging of survivors confirmed long-lasting tumor immunity. Local treatment with MSC^IL7/12 was well tolerated and led to a significant inversion of the CD4⁺/CD8⁺ T-cell ratio with an intricate, predominantly CD8⁺ effector T-cell-mediated antitumor response. T-cell receptor sequencing demonstrated an increased diversity of TILs in MSC^IL7/12-treated mice, indicating a broader tumor-specific immune response with subsequent oligoclonal specification during generation of long-term immunity.

CONCLUSIONS

Local MSC-based immunomodulation is able to efficiently alter the immunosuppressive microenvironment in glioblastoma. The long-lasting therapeutic effects warrant a rapid clinical translation of this concept and have led to planning of a phase I/II study of apceth-301 in recurrent glioblastoma.

Real-time investigation of dynamic protein crystallization in living cells

X-ray crystallography requires sufficiently large crystals to obtain structural insights at atomic resolution, routinely obtained in vitro by time-consuming screening. Recently, successful data collection was reported from protein microcrystals grown within living cells using highly brilliant free-electron laser and third-generation synchrotron radiation. Here, we analyzed in vivo crystal growth of firefly luciferase and Green Fluorescent Protein-tagged reovirus μNS by live-cell imaging, showing that dimensions of living cells did not limit crystal size. The crystallization process is highly dynamic and occurs in different cellular compartments. In vivo protein crystallization offers exciting new possibilities for proteins that do not form crystals in vitro.