Transcriptomic and epigenetic dissection of spinal ependymoma (SP-EPN) identifies clinically relevant subtypes enriched for tumors with and without NF2 mutation

Ependymomas encompass multiple clinically relevant tumor types based on localization and molecular profiles. Tumors of the methylation class "spinal ependymoma" (SP-EPN) represent the most common intramedullary neoplasms in children and adults. However, their developmental origin is ill-defined, molecular data are scarce, and the potential heterogeneity within SP-EPN remains unexplored. The only known recurrent genetic events in SP-EPN are loss of chromosome 22q and NF2 mutations, but neither types and frequency of these alterations nor their clinical relevance have been described in a large, epigenetically defined series. Transcriptomic (n = 72), epigenetic (n = 225), genetic (n = 134), and clinical data (n = 112) were integrated for a detailed molecular overview on SP-EPN. Additionally, we mapped SP-EPN transcriptomes to developmental atlases of the developing and adult spinal cord to uncover potential developmental origins of these tumors. The integration of transcriptomic ependymoma data with single-cell atlases of the spinal cord revealed that SP-EPN display the highest similarities to mature adult ependymal cells. Unsupervised hierarchical clustering of transcriptomic data together with integrated analysis of methylation profiles identified two molecular SP-EPN subtypes. Subtype A tumors primarily carried previously known germline or sporadic NF2 mutations together with 22q loss (bi-allelic NF2 loss), resulting in decreased NF2 expression. Furthermore, they more often presented as multilocular disease and demonstrated a significantly reduced progression-free survival as compared to SP-EP subtype B. In contrast, subtype B predominantly contained samples without NF2 mutation detected in sequencing together with 22q loss (monoallelic NF2 loss). These tumors showed regular NF2 expression but more extensive global copy number alterations. Based on integrated molecular profiling of a large multi-center cohort, we identified two distinct SP-EPN subtypes with important implications for genetic counseling, patient surveillance, and drug development priorities.

Glioblastoma with high O6-methyl-guanine DNA methyltransferase expression are more immunologically active than tumors with low MGMT expression

Background

Glioblastoma (GBM) is a highly lethal brain tumor. The effectiveness of temozolomide (TMZ) treatment in GBM is linked to the methylation status of O6-methyl-guanine DNA methyltransferase (MGMT) promoter. Patients with unmethylated MGMT promoter have limited treatment options available. Consequently, there is a pressing need for alternative therapeutic strategies for such patients.

Methods

Data, including transcriptomic and clinical information, as well as information on MGMT promoter methylation status in primary GBM, were obtained from The Cancer Genome Atlas (TCGA) (n=121) and Chinese Glioma Genome Atlas (CGGA) (n=83) datasets. Samples were categorized into high and low MGMT expression groups, MGMT-high (MGMT-H) and MGMT-low (MGMT-L) tumors. A comprehensive transcriptome analysis was conducted to explore the tumor-immune microenvironment. Furthermore, we integrated transcriptome data from 13 GBM patients operated at our institution with findings from tumor-infiltrating lymphocyte (TIL) cultures, specifically investigating their response to autologous tumors.

Results

Gene signatures associated with various immune cells, including CD8 T cells, helper T cells, B cells, and macrophages, were noted in MGMT-H tumors. Pathway analysis confirmed the enrichment of immune cell-related pathways. Additionally, biological processes involved in the activation of monocytes and lymphocytes were observed in MGMT-H tumors. Furthermore, TIL culture experiments showed a greater presence of tumor-reactive T cells in MGMT-H tumors compared to MGMT-L tumors. These findings suggest that MGMT-H tumors has a potential for enhanced immune response against tumors mediated by CD8 T cells.

Conclusion

Our study provides novel insights into the immune cell composition of MGMT-H tumors, which is characterized by the infiltration of type 1 helper T cells and activated B cells, and also the presence of tumor-reactive T cells evidenced by TIL culture. These findings contribute to a better understanding of the immune response in MGMT-H tumors, emphasizing their potential for immunotherapy. Further studies are warranted to investigate on the mechanisms of MGMT expression and antitumor immunity.

NQPC-10 IMPACT OF HEALTH-RELATED QOL (HRQOL) IN THE FIRST SIX MONTHS AFTER SURGERY ON LONG-TERM POSTOPERATIVE GENERAL HEALTH STATUS IN GLIOMA PATIENTS

Purpose

Though prolonging survival is often the focus of brain tumor therapy, evaluation of health-related quality of life (HRQoL) is important in postoperative follow-up since treatment-induced side effects or tumor-induced functional impairment could affect HRQoL.In glioma treatment, we investigated the relationship between patient-reported HRQoL assessment from 1 month preoperatively to 6 months postoperatively and overall health status at 1 year and 1.5years postoperatively.

Methods

Thirty-one glioma patients who underwent surgical treatment at our hospital and the National Cancer Center Hospital from May 2011 to August 2022 were included in this study. HRQoL and KPS were evaluated at 1 month before surgery, 6 months, 1 year and 1.5 years after surgery, respectively. The median age was 47 years, 15 (48%) were men and 16 (52%) were women. Pathological results were GBM in 19 (61%), AA in 4 (13%), AO in 2 (6%), and others in 6 (19%). The EORTC QLQ-C30/BN20 was used as a measure of HRQoL, and eligible patients answered each of the 50 questions on a 4-point scale, with scores calculated for 26 QoL status items. Bivariate analysis (Wilcoxon test) was performed on the 26 HRQoL items and KPS.

Results/Consideration

High KPS(≥70)was seen in patients who perceived themselves at 6 months postoperatively, to be “good” in the following 10 items “Physical functioning,” “Role functioning,” “Cognitive functioning,” “Global health status,” “Fatigue,” “Constipation,” “Motor dysfunction,” Communication deficit,” “Itchy skin” and “Weakness of legs. “In addition, patients who perceived their HRQoL conditions of” Sleep disturbance,”“ Future Uncertain,”and “ Bladder control”to be “good” after 6 months had a KPS of 70 or higher at 1.5 years.

Conclusions

The results suggest that long-term systemic status can also be monitored by assessing HRQoL in the first six months after surgery. Patient evaluation including sequential HRQoL is important in the treatment of glioma.

IM-2 Possibility of immunotherapy for the glioblastoma patients with O6-methyl-guanine DNA methyltransferase (MGMT) expression or promoter unmethylated

Background: MGMT is a DNA repair protein that removes the cytotoxic O6-methylguanine (O6MG) DNA lesions generated by TMZ; thereby, MGMT expression is mechanistically linked to TMZ resistance. However, thus far, there is no effective treatment for these patients with MGMT promoter unmethylated. Therefore, a new treatment for GBM patients with MGMT expression is urgently needed. To this end, we examined the tumor microenvironment in GBM with or without MGMT expression. Methods: Based on The Cancer Genome Atlas (TCGA) primary GBM cohort, the tumor-infiltrating lymphocytes (TILs) expression level was calculated using the CIBERSORTx algorithms and the single-sample Gene Set Enrichment Analysis (ssGSEA) method. Furthermore, the differential expression gene analysis was conducted and pathway analysis was performed using Ingenuity Pathway Analysis (IPA). The results were validated using the GBM cohort from the Chinese Glioma Genome Atlas (CGGA) database. In addition, TILs were isolated from 13 surgically removed primary GBM tumors in our institution. Their responses to autologous tumors were evaluated by IFNγ ELISA. Results: T cells CD8 score by CIBERSORTx was significantly higher in the MGMT-high tumor. Similarly, ssGSEA scores for activated CD8 T cell, Macrophage, activated B cell, and Type 1 T helper cell were significantly higher in the MGMT-high tumor. Conversely, T cells CD4 naive was significantly higher in the MGMT-low tumor. Consistently, tumor-reactive TILs were detected in the MGMT-high tumor. Pathway analysis showed that Rictor was highly enriched in the MGMT-high tumor and Rictor inhibited lymphocyte activation. Coclusion: In this study, we demonstrated that macrophage was highly activated in the MGMT-high tumors. Thus, CSF-1R inhibitor can be combined with immunotherapy in these MGMT-high tumors to enhance anti-tumor immune responses. In addition, TMZ + mTOR2 inhibitors + PD-1 inhibitors may be effective against the MGMT-L group.

EPCO-01. MOLECULAR PROFILING OF SPINAL CORD EPENDYMOMA

BACKGROUND

Ependymomas are currently classified into 9 subgroups by DNA methylation profiles. Although spinal cord ependymoma (SP-EPN) is distinct from other tumors, diversity within SP-EPN is still unclear. Here, we used transcriptomic and epigenomic profiles to investigate the diversity among Japanese SP-EPN cases.

MATERIALS AND METHODS

We analyzed 57 SP-EPN patients (32 males and 25 females, aged from 18 to 78 years, median: 52), including two cases of neurofibromatosis type 2, five cases of grade 3 (WHO grade). We obtained transcriptome (RNA-seq) and DNA methylation (Infinium Methylation EPIC array) data from fresh frozen specimens of SP-EPN resected at the University of Tokyo Hospital and our collaborative groups.

RESULTS

Three cases had a previous intracranial ependymoma operation. Hierarchical clustering of the DNA methylation data showed that these three cases of intracranial origin as a different cluster from spinal origin. The 45 grade 2 spinal ependymoma showed a relatively homogenous methylation pattern. However, the methylation status of HOX gene cluster regions is compatible with the segment of origin, which reflects the cells of origins are derived after the determination of segment identity. RNA sequencing of 57 cases revealed two subgroups within grade 2. Gene ontology analysis of differentially expressed genes suggested the difference in metabolic state such as rRNA translation and mitochondrial respiration between the two expression subgroups.

CONCLUSION

Epigenetic analysis indicated the accurate body segment origin of SP-EPN. We observed that metabolic states could divide grade 2 spinal cord ependymoma into 2 subgroups and will present the relationship to clinicopathological information.