Primary Glioblastoma Patients Research Articles

A longer time to relapse is associated with a larger increase in differences between paired primary and recurrent IDH wild-type glioblastomas at both the transcriptomic and genomic levels

Glioblastoma (GBM) is the most common malignant brain tumor in adults, which remains incurable and often recurs rapidly after initial therapy. While large efforts have been dedicated to uncover genomic/transcriptomic alternations associated with the recurrence of GBMs, the evolutionary trajectories of matched pairs of primary and recurrent (P-R) GBMs remain largely elusive. It remains challenging to identify genes associated with time to relapse (TTR) and construct a stable and effective prognostic model for predicting TTR of primary GBM patients. By integrating RNA-sequencing and genomic data from multiple datasets of patient-matched longitudinal GBMs of isocitrate dehydrogenase wild-type (IDH-wt), here we examined the associations of TTR with heterogeneities between paired P-R GBMs in gene expression profiles, tumor mutation burden (TMB), and microenvironment. Our results revealed a positive correlation between TTR and transcriptomic/genomic differences between paired P-R GBMs, higher percentages of non-mesenchymal-to-mesenchymal transition and mesenchymal subtype for patients with a short TTR than for those with a long TTR, a high correlation between paired P-R GBMs in gene expression profiles and TMB, and a negative correlation between the fitting level of such a paired P-R GBM correlation and TTR. According to these observations, we identified 55 TTR-associated genes and thereby constructed a seven-gene (ZSCAN10, SIGLEC14, GHRHR, TBX15, TAS2R1, CDKL1, and CD101) prognostic model for predicting TTR of primary IDH-wt GBM patients using univariate/multivariate Cox regression analyses. The risk scores estimated by the model were significantly negatively correlated with TTR in the training set and two independent testing sets. The model also segregated IDH-wt GBM patients into two groups with significantly divergent progression-free survival outcomes and showed promising performance for predicting 1-, 2-, and 3-year progression-free survival rates in all training and testing sets. Our findings provide new insights into the molecular understanding of GBM progression at recurrence and potential targets for therapeutic treatments.

Metabolomic characterization of human glioblastomas and patient plasma: a pilot study

Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metabolomic, lipidomic, and biogenic amine analyses were conducted on GBM tissue and patient plasma at diagnosis and recurrence using untargeted mass spectrometry. The study utilized a small but longitudinally collected cohort to evaluate alteration in metabolites, lipids, and biogenic amines between specimens at diagnosis and recurrence. Results Exploratory analysis revealed significant alteration in metabolites, lipids, and biogenic amines between diagnostic and recurrent states in both tumor and plasma specimens. Notable metabolites differed at recurrence, including N-alpha-methylhistamine, glycerol-3-phosphate, phosphocholine, and succinic acid in tissue, and indole-3-acetate, and urea in plasma. Principal component analysis revealed distinct metabolomic profiles between tumor tissue and patient plasma. Distinct metabolic profiles were observed in GBM tissue and patient plasma at recurrence, demonstrating the feasibility of using metabolomic methodologies for longitudinal studies. One patient exhibited a unique tumor resistance signature at diagnosis, possibly indicating a high-risk metabolomic phenotype. Conclusions In this small cohort, the findings suggest the potential of metabolomic signatures of GBM tissue and patient plasma for risk stratification, outcome prediction, and the development of novel adjuvant metabolic-targeting therapies. The findings suggest metabolic discrepancies at diagnosis and recurrence in tissue and plasma, highlighting potential implications for evaluation of clinical response. The identification of significant changes in metabolite abundance emphasizes the need for larger studies using targeted metabolomics to validate and further explore these profiles.

Copy number gain of FAM131B-AS2 promotes the progression of glioblastoma by mitigating replication stress.

Glioblastoma (GBM) is characterized by chromosome 7 copy number gains, notably 7q34, potentially contributing to therapeutic resistance, yet the underlying oncogenes have not been fully characterized. Pertinently, the significance of long noncoding RNAs (lncRNAs) in this context has gained attention, necessitating further exploration. FAM131B-AS2 was quantified in GBM samples and cells using qPCR. Overexpression and knockdown of FAM131B-AS2 in GBM cells were used to study its functions in vivo and in vitro. The mechanisms of FAM131B-AS2 were studied using RNA-seq, qPCR, Western blotting, RNA pull-down, coimmunoprecipitation assays, and mass spectrometry analysis. The phenotypic changes that resulted from FAM131B-AS2 variation were evaluated through CCK8 assay, EdU assay, comet assay, and immunofluorescence. Our analysis of 149 primary GBM patients identified FAM131B-AS2, a lncRNA located in the 7q34 region, whose upregulation predicts poor survival. Mechanistically, FAM131B-AS2 is a crucial regulator of the replication stress response, stabilizing replication protein A1 through recruitment of ubiquitin-specific peptidase 7 and activating the ataxia telangiectasia and rad3-related protein kinase pathway to protect single-stranded DNA from breakage. Furthermore, FAM131B-AS2 overexpression inhibited CD8+ T-cell infiltration, while FAM131B-AS2 inhibition activated the cGAS-STING pathway, increasing lymphocyte infiltration and improving the response to immune checkpoint inhibitors. FAM131B-AS2 emerges as a promising indicator for adjuvant therapy response and could also be a viable candidate for combined immunotherapies against GBMs.

Single-cell characterization of human GBM reveals regional differences in tumor-infiltrating leukocyte activation.

Glioblastoma (GBM) harbors a highly immunosuppressive tumor microenvironment (TME) which influences glioma growth. Major efforts have been undertaken to describe the TME on a single-cell level. However, human data on regional differences within the TME remain scarce. Here, we performed high-depth single-cell RNA sequencing (scRNAseq) on paired biopsies from the tumor center, peripheral infiltration zone and blood of five primary GBM patients. Through analysis of >45,000 cells, we revealed a regionally distinct transcription profile of microglia (MG) and monocyte-derived macrophages (MdMs) and an impaired activation signature in the tumor-peripheral cytotoxic-cell compartment. Comparing tumor-infiltrating CD8+ T cells with circulating cells identified CX3CR1high and CX3CR1int CD8+ T cells with effector and memory phenotype, respectively, enriched in blood but absent in the TME. Tumor CD8+ T cells displayed a tissue-resident memory phenotype with dysfunctional features. Our analysis provides a regionally resolved mapping of transcriptional states in GBM-associated leukocytes, serving as an additional asset in the effort towards novel therapeutic strategies to combat this fatal disease.

Single-cell characterization of human GBM reveals regional differences in tumor-infiltrating leukocyte activation

Glioblastoma (GBM) harbors a highly immunosuppressive tumor microenvironment (TME) which influences glioma growth. Major efforts have been undertaken to describe the TME on a single-cell level. However, human data on regional differences within the TME remain scarce. Here, we performed high-depth single-cell RNA sequencing (scRNAseq) on paired biopsies from the tumor center, peripheral infiltration zone and blood of five primary GBM patients. Through analysis of >45,000 cells, we revealed a regionally distinct transcription profile of microglia (MG) and monocyte-derived macrophages (MdMs) and an impaired activation signature in the tumor-peripheral cytotoxic-cell compartment. Comparing tumor-infiltrating CD8+ T cells with circulating cells identified CX3CR1high and CX3CR1int CD8+ T cells with effector and memory phenotype, respectively, enriched in blood but absent in the TME. Tumor CD8+ T cells displayed a tissue-resident memory phenotype with dysfunctional features. Our analysis provides a regionally resolved mapping of transcriptional states in GBM-associated leukocytes, serving as an additional asset in the effort towards novel therapeutic strategies to combat this fatal disease.

A Systematic Review of Nanomedicine in Glioblastoma Treatment: Clinical Efficacy, Safety, and Future Directions.

(1) Background: Glioblastoma (GBM) is categorized as a grade IV astrocytoma by the World Health Organization (WHO), representing the most aggressive and prevalent form of glioma. It presents a significant clinical challenge, with limited treatment options and poor prognosis. This systematic review evaluates the efficacy and safety of various nanotherapy approaches for GBM and explores future directions in tumor management. Nanomedicine, which involves nanoparticles in the 1-100 nm range, shows promise in improving drug delivery and targeting tumor cells. (2) Methods: Following PRISMA guidelines, a systematic search of databases including Google Scholar, NCBI PubMed, Cochrane Library, and ClinicalTrials.gov was conducted to identify clinical trials on GBM and nanomedicine. The primary outcome measures were median overall survival, progression-free survival, and quality of life assessed through Karnofsky performance scores. The safety profile was assessed by adverse events. (3) Results: The analysis included 225 GBM patients, divided into primary and recurrent sub-populations. Primary GBM patients had a median overall survival of 6.75 months, while recurrent GBM patients had a median overall survival of 9.7 months. The mean PFS period was 2.3 months and 3.92 months in primary GBM and recurrent GBM patients, respectively. Nanotherapy showed an improvement in quality of life, with KPS scores increasing after treatment in recurrent GBM patients. Adverse events were observed in 14.2% of patients. Notably, Bevacizumab therapy exhibited better survival outcomes but with a higher incidence of adverse events. (4) Conclusions: Nanotherapy offers a modest increase in survival with fewer severe side effects. It shows promise in improving the quality of life, especially in recurrent GBM patients. However, it falls short in terms of overall survival compared to Bevacizumab. The heterogeneous nature of treatment protocols and reporting methods highlights the need for standardized multicenter trials to further evaluate the potential of nanomedicine in GBM management.

P14.04.B CIRCULATING TUMOR CELLS AS A NON-INVASIVE GLIOBLASTOMA DIAGNOSTIC AND PROGNOSTIC TOOL

Abstract BACKGROUND Circulating tumor cells (CTCs) detection in the blood of glioblastoma (GBM) patients can facilitate the assessment of tumoral information without the need for invasive approaches. Our aim is to use GBM CTCs to obtain knowledge about the tumor and improve the current GBM diagnosis and prognosis. MATERIAL AND METHODS We collected primary, matched recurrent GBM and healthy controls blood samples. CTCs were enriched from whole blood controls with Parsortix Cell Separation System and analysed on DEPArray system. CTCs were recognized by immunofluorescence with GFAP.The CTCs have been counted for all the samples. Copy Number Aberrations (CNAs) analysis was performed on CTCs. To compare CTCs genetic background with the same patient’s primary and recurrence tissues, whole exome sequencing (WES) was realized on tumor tissues. Recurrence of GBM was diagnosed according to the RANO criteria +/-path proven second surgery +/- FET PET imaging proven. We assessed tumor volume of contrast enhanced (CE) (as a surrogate marker of BBB damage) and nCE at the time of the CTCs collection by seminautomatic segmentation on ITKsnap software. RESULTS We found CTCs in GBM patients newly diagnosed at the time of first surgery (86%) but also at recurrence (100 %). Cell counting demonstrated in both primary and recurrent GBM patients’ blood a statistically significantly higher number of CTCs compared to healthy controls (average of cells number 15.8 vs 2.3). Interestingly, recurrent GBM patients showed more CTCs than primary GBM patients (average 9 vs 22.7). CNAs analysis confirmed the tumor status of the selected CTCs. Some of GBM classical mutations (in HTERT promoter, BRAF, PTEN, PI3KCA and EGFR genes) have been searched both in the tumor tissues and in the CTCs. HTERT was found mutated in CTCs of one patient’s tumor carrying mutant HTERT and wild type IDH1/2. We also included three IDH1 mutant glioma patients and one BRAFV600E mutant GBM patient in order to track these in CTCs. We did not find BRAF mutations in CTCs isolated from one recurrent BRAFV600E GBM patient with a very low allele frequency in the recurrent tumor (<1%). CONCLUSION We found CTCs in GBM patients newly diagnosed and at recurrence. Several factors may affect CTCs release such as tumor volume, CE and the CTCs genetic BACKGROUND , which seems to be heterogeneous. CTCs detection by our methodology could be helpful in the clinical setting for diagnostic, prognostic and theranostic purposes and for patients monitoring. Prospective study is ongoing in order to assess CTCs variations on and after therapy. This study, first investigated the genetic heterogeneity of CTCs released in the blood flow from the parental tumor.

P15.02.A EVALUATION OF [68GA]GA-PSMA-617 PET AS A DIAGNOSTIC AGENT IN RECURRENT GLIOBLASTOMA PATIENTS: RESULTS OF THE GENESIS GBM 001 PHASE I/II STUDY

Abstract BACKGROUND PSMA is a cell-surface protein that is highly expressed in the endothelium of the tumour neovasculature of several solid tumours, including glioblastoma (GBM), making it an excellent target for antibody-drug conjugates or peptide receptor radionuclide therapy. Several [68Ga]Ga-PSMA-based radioligands have shown utility in the diagnosis and treatment response assessment of primary GBM patients in a number of case studies. The small-molecule ligand [68Ga]Ga-PSMA-617 has the advantage of being suitable for radiolabelling with different radioisotopes, including 68Ga, 177Lu, 111In and 90Y, which raised the possibility of using it in a theranostic application in glioblastoma. The aim of this phase I/II prospective study was to evaluate the potential of [68Ga]Ga-PSMA-617 as a PET imaging biomarker and as a candidate ligand for targeted radionuclide therapy in patients with recurrent GBM. MATERIAL AND METHODS Ten patients with recurrent glioblastoma were recruited for the study between October 2018 and September 2021. Patients underwent [68Ga]Ga-PSMA-617 and [18F]F-FET PET brain scans done on two separate days. Two patients had full-body [68Ga]Ga-PSMA-617 scans. Tumour selectivity of [68Ga]Ga-PSMA-617 was assessed by measuring tumour volume on [68Ga]Ga-PSMA-617 PET scans and comparing it with tumour volume measured on [18F]F-FET PET scans, which are more widely used clinically. Tumour specificity of [68Ga]Ga-PSMA-617 was assessed by comparing its standard uptake value (SUV) and tumour-to-brain-ratio (TBR) with those of [18F]F-FET TBR, and by measuring [68Ga]Ga-PSMA-617 tumour-to-liver ratio (TLR). RESULTS PSMA-defined tumour volume was on average 1.87±1.10 times larger than the FET-defined tumour volume (p=0.084), and the two volumes had a DICE similarity coefficient of 0.578±0.175. Mean and maximum TBR was significantly (p=0.002) higher (~10x) for PSMA than for FET. Mean SUV in the tumour was significantly higher for FET than for PSMA (p=0.002), while maximum SUV was slightly higher for PSMA than for FET (p=0.08). For the two patients with full-body [68Ga]Ga-PSMA PET scan available, PSMA mean TLR was 0.91 and 0.68, and maximum TLR was 1.20 and 1.07, respectively. CONCLUSION [68Ga] Ga-PSMA PET delineates a larger tumour volumes compared to [18F]F-FET PET, suggesting there are areas of the tumour with emerging tumour neovasculature that are not yet metabolically active. The poor spatial overlap between PSMA and FET tumour volume suggests the complementary diagnostic role of the two tracers. The higher TBR of PSMA compared to FET demonstrates the higher tumour specificity of the former, and thus its potential ability as a diagnostic agent for recurrent tumour volume delineation. Relatively low values of PSMA SUV and TLR suggest that PSMA specific uptake is not sufficient to use this ligand for targeted radionuclide therapy in glioblastoma when conjugated to [177Lu].

Development and validation of a predictive model in diagnosis and prognosis of primary glioblastoma patients based on Homeobox A family

BackgroundHomeobox A (HOXA) family is involved in the development of malignancies as either tumor suppressors or oncogenes. However, their roles in glioblastoma (GBM) and clinical significance have not been fully elucidated.MethodsHOXA mutation and expressions in pan-cancers were investigated using GSCA and Oncomine, which in GBM were validated by cBioPortal, Chinese Glioma Genome Atlas (CGGA), and The Cancer Genome Atlas (TCGA) datasets. Kaplan–Meier analyses were conducted to determine prognostic values of HOXAs at genetic and mRNA levels. Diagnostic roles of HOXAs in tumor classification were explored by GlioVis and R software. Independent prognostic HOXAs were identified using Cox survival analyses, the least absolute shrinkage and selection operator (LASSO) regression, quantitative real-time PCR, and immunohistochemical staining. A HOXAs-based nomogram survival prediction model was developed and evaluated using Kaplan–Meier analysis, time-dependent Area Under Curve, calibration plots, and Decision Curve Analysis in training and validation cohorts.ResultsHOXAs were highly mutated and overexpressed in pan-cancers, especially in CGGA and TCGA GBM datasets. Genetic alteration and mRNA expression of HOXAs were both found to be prognostic. Specific HOXAs could distinguish IDH mutation (HOXA1-7, HOXA9, HOXA13) and molecular GBM subtypes (HOXA1-2, HOXA9-11, HOXA13). HOXA1/2/3/10 were confirmed to be independent prognostic members, with high expressions validated in clinical GBM tissues. The HOXAs-based nomogram model exhibited good prediction performance and net benefits for patients in training and validation cohorts.ConclusionHOXA family has diagnostic values, and the HOXAs-based nomogram model is effective in survival prediction, providing a novel approach to support the treatment of GBM patients.

Is sarcopenia a predictor of overall survival in primary IDH-wildtype GBM patients with and without MGMT promoter hypermethylation?

Background: In this study, we aimed to examine the success of temporal muscle thickness (TMT) and masseter muscle thickness (MMT) in predicting overall survival (OS) in primary IDH-wild glioblastoma (GBM) patients with and without MGMT promoter hypermethylation through publicly available datasets. Methods: We included 345 primary IDH-wild GBM patients with known MGMT promoter hypermethylation status who underwent gross-total resection and standard treatment, whose data were obtained from the open datasets. TMT was evaluated on axial thin section postcontrast T1-weighted images, and MMT was evaluated on axial T2-weighted images. The median TMT and MMT were used to determine the cut-off point. Results: The findings showed that median TMT 9.5 mm and median MMT 12.7 mm determined the cut-off value in predicting survival. Both TMT and MMT values less than the median muscle thickness were negatively associated with OS (TMT<9.5: HR 3.63 CI 2.34–4.23, p <0.001, MMT<12.7: HR 3.53 CI 2.27–4.07, p <0.001). When patients were classified according to MGMT positivity, the findings showed MGMT-negative patients (TMT<9.5: HR 2.54 CI 1.89–3.56, p <0.001, MMT<12.7: HR 2.65 CI 2.07–3.62, p <0.001) and MGMT-positive patients (TMT<9.5: HR 3.84 CI 2.48–4.28, p <0.001, MMT<12.7: HR 3.73 CI 2.98–4.71, p <0.001). Conclusion: Both TMT and MMT successfully predict survival in primary GBM patients. In addition, it can successfully predict survival in patients with and without MGMT promoter hypermethylation.

Potential Prognostic Value of GATA4 Depends on the p53 Expression in Primary Glioblastoma Patients.

Primary glioblastoma is characterized by an extremely poor prognosis. The promoter methylation of GATA4 leads to the loss of its expression in many cancer types. The formation of high-grade astrocytomas can be promoted by the concurrent loss of TP53 and GATA4 in normal human astrocytes. Nevertheless, the impact of GATA4 alterations with linkage to TP53 changes in gliomagenesis is poorly understood. This study aimed to evaluate GATA4 protein expression, GATA4 promoter methylation, p53 expression, TP53 promoter methylation, and mutation status in patients with primary glioblastoma and to assess the possible prognostic impact of these alterations on overall survival. Thirty-one patients with primary glioblastoma were included. GATA4 and p53 expressions were determined immunohistochemically, and GATA4 and TP53 promoter methylations were analyzed via methylation-specific PCR. TP53 mutations were investigated via Sanger sequencing. The prognostic value of GATA4 depends on p53 expression. Patients without GATA4 protein expression were more frequently negative for TP53 mutations and had better prognoses than the GATA4 positive patients. In patients positive for GATA4 protein expression, p53 expression was associated with the worst outcome. However, in patients positive for p53 expression, the loss of GATA4 protein expression seemed to be associated with improved prognosis. GATA4 promoter methylation was not associated with a lack of GATA4 protein expression. Our data indicate that there is a possibility that GATA4 could function as a prognostic factor in glioblastoma patients, but in connection with p53 expression. A lack of GATA4 expression is not dependent on GATA4 promoter methylation. GATA4 alone has no influence on survival time in glioblastoma patients.

Abstract 2497: Glioma-induced neuronal remodeling promotes regional immunosuppression

Abstract Recent studies have elucidated that gliomas remodel neuronal circuits, and distinct intratumoral regions maintain functional connectivity through a subpopulation of synaptogenic malignant cells expressing Thrombospondin-1 (TSP-1, encoded by the THBS1 gene). Single-cell RNA sequencing analyses of our primary glioblastoma patient samples identified a significant downregulation of immune response signatures in myeloid cells and lymphoid cells in functionally connected intratumoral regions characterized by upregulated THBS1. Understanding the biological significance of immunosuppression within functionally connected intratumoral regions may uncover therapeutic vulnerabilities. Here, we investigate glioma-neuronal-immune crosstalk across clinical tumor specimens and preclinical syngeneic models through bulk and single-cell RNA sequencing (13,670 cells), flow cytometry, and spatial transcriptomics. Using an SB28 murine glioma cell line that endogenously expresses Thbs1 at high levels, we generated a CRISPR Thbs1-knock-out (KO) cell line. In bulk RNA-sequencing data performed on orthotopic tumor models, Thbs1-KO tumors were characterized by the downregulated expression of synapse-associated genes and synaptogenic factors and the recovered expression of genes related to immune response. It highlighted the important role of Thrombospondin-1 in synaptogenesis and immunosuppression consistent with the observation from our primary patient tumor samples. Flow cytometry revealed that tumor-associated macrophages isolated from Thbs1-KO tumors were more polarized toward the pro-inflammatory “M1-like” phenotype (median M1/M2 ratio = 0.6 [WT] vs. 1.34 [KO], p < 0.006). Unbiased gene expression program analysis using spatial transcriptomics for in vivo tumor-harboring mouse brains demonstrated a significant negative correlation between signatures of synaptogenesis (represented by Ntng1 and Nlgn3 genes) and those of immune response (represented by Nfkb1 and Cd83 genes). SB28-Thbs1-KO syngeneic models demonstrated slower tumor growth and significantly longer survival compared to Thbs1-WT counterparts (19 days [WT] vs. 25 days [KO], p < 4.5E-5). The survival difference was abrogated in B6-SCID immunodeficient mice, indicating the critical role of adaptive immunity in the survival advantage associated with Thrombospondin-1 downregulation. Our results identify previously unknown immunosuppression mechanisms in the context of glioma-induced intratumoral connectivity via Thrombospondin-1. Future therapeutic strategies targeting this glioma-neuronal-immune crosstalk may open up new avenues for glioblastoma immunotherapy. Citation Format: Takahide Nejo, Saritha Krishna, Christian Jimenez, Akane Yamamichi, Jacob S. Young, Tiffany Chen, Senthilnath Lakshmanachetty, Payal Watchmaker, Abrar Choudhury, Hirokazu Ogino, David R. Raleigh, Shawn L. Hervey-Jumper, Hideho Okada. Glioma-induced neuronal remodeling promotes regional immunosuppression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2497.

161 Single-Cell RNA-seq Highlights Immune-Driven Gender Differences in Glioblastoma

INTRODUCTION: Glioblastoma (GBM) is the most common primary malignant brain tumor and has a 1.6-fold higher incidence and shorter survival in men versus women. Gene expression differences may contribute to gender-specific differences. METHODS: Single cell RNA-sequencing (scRNA-seq) was conducted on 19,642 cells from primary IDH-wild type GBM patients of both sexes (n = 11 total, 5 men and 6 women). A two-sample t-test was conducted on average age between sexes. Kaplan-Meier curves were used to evaluate survival between sexes. Bulk RNA-sequencing data was accessed via The Cancer Genome Atlas GBM dataset. Functional enrichment analyses were conducted on both scRNA and bulk RNA-seq data to determine relevant pathways from upregulated genes and visualized as gene concept networks via R. RESULTS: There was no difference in age (63.8 versus 53.8 years in men and women respectively) and survival (24 versus 26 months in men and women respectively). scRNA-seq functional enrichment analysis revealed myeloid cell upregulation in men and increased expression of angiogenesis genes such as ADM in women. There was no difference in T cell gene expression between sexes. Bulk RNA-seq analysis of 90 men and 50 women revealed marked elevation of immunoglobulin genes in men and innate genes such as M1 marker NOS2 in women. CONCLUSIONS: Innate myeloid and adaptive humoral components are highly upregulated in men with GBM compared to women, with no differences seen in T cell expression between sexes. This may contribute to higher incidences and shorter survival in men versus women, which should be accounted for in clinical trial evaluation.

Influence of MMR, MGMT Promotor Methylation and Protein Expression on Overall and Progression-Free Survival in Primary Glioblastoma Patients Treated with Temozolomide.

Glioblastoma is the most common malignant brain tumor in adults. Standard treatment includes tumor resection, radio-chemotherapy and adjuvant chemotherapy with temozolomide (TMZ). TMZ methylates DNA, whereas O6-methylguanine DNA methyltransferase (MGMT) counteracts TMZ effects by removing the intended proteasomal degradation signal. Non-functional MGMT mediates the mismatch repair (MMR) system, leading to apoptosis after futile repair attempts. This study investigated the associations between MGMT promoter methylation, MGMT and MMR protein expression, and their effect on overall survival (OS) and progression-free survival (PFS) in patients with glioblastoma. MGMT promoter methylation was assessed in 42 treatment-naïve patients with glioblastoma WHO grade IV by pyrosequencing. MGMT and MMR protein expression was analyzed using immunohistochemistry. MGMT promoter methylation was present in 52%, whereas patients <70 years of age revealed a significantly longer OS using a log-rank test and a significance threshold of p ≤ 0.05. MGMT protein expression and methylation status showed no correlation. MMR protein expression was present in all patients independent of MGMT status and did not influence OS and PFS. Overall, MGMT promoter methylation implicates an improved OS in patients with glioblastoma aged <70 years. In the elderly, the extent of surgery has an impact on OS rather than the MGMT promoter methylation or protein expression.

Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma

BackgroundAlthough temozolomide (TMZ) has been used as a standard adjuvant chemotherapeutic agent for primary glioblastoma (GBM), treating isocitrate dehydrogenase wild-type (IDH-wt) cases remains challenging due to intrinsic and acquired drug resistance. Therefore, elucidation of the molecular mechanisms of TMZ resistance is critical for its precision application.MethodsWe stratified 69 primary IDH-wt GBM patients into TMZ-resistant (n = 29) and sensitive (n = 40) groups, using TMZ screening of the corresponding patient-derived glioma stem-like cells (GSCs). Genomic and transcriptomic features were then examined to identify TMZ-associated molecular alterations. Subsequently, we developed a machine learning (ML) model to predict TMZ response from combined signatures. Moreover, TMZ response in multisector samples (52 tumor sectors from 18 cases) was evaluated to validate findings and investigate the impact of intra-tumoral heterogeneity on TMZ efficacy.ResultsIn vitro TMZ sensitivity of patient-derived GSCs classified patients into groups with different survival outcomes (P = 1.12e−4 for progression-free survival (PFS) and 3.63e−4 for overall survival (OS)). Moreover, we found that elevated gene expression of EGR4, PAPPA, LRRC3, and ANXA3 was associated to intrinsic TMZ resistance. In addition, other features such as 5-aminolevulinic acid negative, mesenchymal/proneural expression subtypes, and hypermutation phenomena were prone to promote TMZ resistance. In contrast, concurrent copy-number-alteration in PTEN, EGFR, and CDKN2A/B was more frequent in TMZ-sensitive samples (Fisher’s exact P = 0.0102), subsequently consolidated by multi-sector sequencing analyses. Integrating all features, we trained a ML tool to segregate TMZ-resistant and sensitive groups. Notably, our method segregated IDH-wt GBM patients from The Cancer Genome Atlas (TCGA) into two groups with divergent survival outcomes (P = 4.58e−4 for PFS and 3.66e−4 for OS). Furthermore, we showed a highly heterogeneous TMZ-response pattern within each GBM patient using in vitro TMZ screening and genomic characterization of multisector GSCs. Lastly, the prediction model that evaluates the TMZ efficacy for primary IDH-wt GBMs was developed into a webserver for public usage (http://www.wang-lab-hkust.com:3838/TMZEP).ConclusionsWe identified molecular characteristics associated to TMZ sensitivity, and illustrate the potential clinical value of a ML model trained from pharmacogenomic profiling of patient-derived GSC against IDH-wt GBMs.

Towards an Established Intraoperative Oncological Favorable Tool: Results of Fluorescein-Guided Resection from a Monocentric, Prospective Series of 93 Primary Glioblastoma Patients.

It is commonly reported that maximizing surgical resection of contrast-enhancing regions in patients with glioblastoma improves overall survival. Efforts to achieve an improved rate of resection have included several tools: among those, the recent widespread of fluorophores. Sodium fluorescein is an unspecific, vascular dye which tends to accumulate in areas with an altered blood-brain barrier. In this retrospective analysis of patients prospectively enrolled in the FLUOCERTUM study, we aimed to assess the role of fluorescein-guided surgery on surgical radicality, survival, and morbidity. A retrospective review based on 93 consecutively and prospectively enrolled IDH wild-type glioblastoma patients (2016-2022) was performed; fluorescence characteristics, rate of resection, clinical outcome, and survival were analyzed. No side effect related to fluorescein occurred; all of the tumors presented a strong yellow-green enhancement and fluorescein was judged fundamental in distinguishing tumors from viable tissue in all cases. Gross total resection was achieved in 77 cases out of 93 patients (82.8%). After a mean follow-up time of 17.4 months (3-78 months), the median progression-free survival was 12 months, with a PFS-6 and PFS-12 of 94.2% and 50%, respectively, whereas median overall survival was estimated to be 16 months; survival at 6, 12, and 24 months was 91.8%, 72.3%, and 30.1%, respectively. Based on these results, we can assert that the fluorescein-guided technique is a safe and valuable method for patients harboring a newly diagnosed, untreated glioblastoma.

Molecular Characterization of the Dual Effect of the GPER Agonist G-1 in Glioblastoma.

Glioblastoma (GBM) is the most common primary brain tumor in adults. Despite conventional treatment, consisting of a chirurgical resection followed by concomitant radio-chemotherapy, the 5-year survival rate is less than 5%. Few risk factors are clearly identified, but women are 1.4-fold less affected than men, suggesting that hormone and particularly estrogen signaling could have protective properties. Indeed, a high GPER1 (G-protein-coupled estrogen receptor) expression is associated with better survival, especially in women who produce a greater amount of estrogen. Therefore, we addressed the anti-tumor effect of the GPER agonist G-1 in vivo and characterized its molecular mechanism of action in vitro. First, the antiproliferative effect of G-1 was confirmed in a model of xenografted nude mice. A transcriptome analysis of GBM cells exposed to G-1 was performed, followed by functional analysis of the differentially expressed genes. Lipid and steroid synthesis pathways as well as cell division processes were both affected by G-1, depending on the dose and duration of the treatment. ANGPTL4, the first marker of G-1 exposure in GBM, was identified and validated in primary GBM cells and patient samples. These data strongly support the potential of G-1 as a promising chemotherapeutic compound for the treatment of GBM.

Towards an Established Intraoperative Oncological Favorable Tool: Results of Fluorescein-Guided Resection from a Mo-nocentric, Prospective Series of 93 Primary Glioblastoma Pa-tients.

Towards an Established Intraoperative Oncological Favorable Tool: Results of Fluorescein-Guided Resection from a Mo-nocentric, Prospective Series of 93 Primary Glioblastoma Pa-tients.

Targeting Nuclear Pore Complex to Radiosensitize Glioblastoma Stem Cells

<h3>Purpose/Objective(s)</h3> Glioblastoma is the most prevalent and lethal primary intrinsic tumor in the central nervous system. Glioblastoma stem cells (GSCs) reprogram the transcriptional and metabolic machinery to mediate therapeutic resistance to radiation. Understanding the regulatory mechanism of GSCs may inform novel approaches to improve the clinical outcome for glioblastoma patients. Nuclear pore complex (NPC) is an evolutionarily conserved structure that maintains the traffic between the nucleus and cytoplasm. In current study, we aim to interrogate the aberrant regulation of NPC in GSCs and develop novel targeted approach to sensitize GSC to radiation. <h3>Materials/Methods</h3> Patient-derived GSCs were validated using functional assays. Transcriptional analysis of GSCs and matched differentiated glioblastoma cells (DGCs) were performed using RNA sequencing to identify aberrant regulatory pathways upregulated in GSCs. The clinical impact of target genes on patient survival was assessed using the glioblastoma dataset from The Cancer Genome Atlas (TCGA). Quantitative RT-PCR and Western blotting were performed to assess the relative expression between GSCs and DGCs. Radiation sensitivity was measured using Cs-137 irradiator. Validation of the stem-like function of target genes was performed using RNA interference followed by <i>in vitro</i> neurosphere formation assay and <i>in vivo</i> tumorigenesis with xenograft mouse model. <h3>Results</h3> 27 of the total 31 NPC genes were found to be upregulated in the primary glioblastoma patient specimens compared to non-tumor brain tissue in the TCGA dataset. Among them, a systematic approach combining transcriptional profiling and clinical validation linked nucleoporin 98 (NUP98) to a nexus between GSC phenotype and radiation resistance. GSCs preferentially express NUP98, which is essential for GSC maintenance and tumorigenesis <i>in vitro</i> and <i>in vivo</i>. RNA sequencing demonstrated that NUP98 regulates the expression of key DNA repair genes, including BRCA1, BRCA2, and RAD51. NUP98 forms a complex with the transcription factor P65, and directly stimulates the active transcription of genes involved in homologous recombination. Attenuation of NUP98 or P65 expression leads to the accumulation of unrepaired intrinsic DNA damage and sensitizes GSC to the treatment of ionizing radiation. Clinically, overexpression of NUP98 informs poor clinical outcome among patients with glioblastoma. <h3>Conclusion</h3> Combining transcriptional discovery and clinical validation, we discovered that NUP98, an essential NPC component, maintains GSC proliferation and tumorigenesis through modulating the transcriptional control of homologous recombination pathway. Our results demonstrated a novel therapeutic approach of sensitizing GSC to radiation through targeting the nexus between aberrant transcriptional regulation and therapeutic resistance in stem-like glioma cells.

Functional temozolomide sensitivity testing of patient-specific glioblastoma stem cell cultures is predictive of clinical outcome

Serum-free culturing of patient-derived glioblastoma biopsies enrich for glioblastoma stem cells (GSCs) and is recognized as a disease-relevant model system in glioblastoma (GBM). We hypothesized that the temozolomide (TMZ) drug sensitivity of patient-derived GSC cultures correlates to clinical sensitivity patterns and has clinical predictive value in a cohort of GBM patients. To this aim, we established 51 individual GSC cultures from surgical biopsies from both treatment-naïve primary and pretreated recurrent GBM patients. The cultures were evaluated for sensitivity to TMZ over a dosing range achievable in normal clinical practice. Drug efficacy was quantified by the drug sensitivity score. MGMT-methylation status was investigated by pyrosequencing. Correlative, contingency, and survival analyses were performed for associations between experimental and clinical data. We found a heterogeneous response to temozolomide in the GSC culture cohort. There were significant differences in the sensitivity to TMZ between the newly diagnosed and the TMZ-treated recurrent disease (p <0.01). There was a moderate correlation between MGMT-status and sensitivity to TMZ (r=0.459, p=0.0009). The relationship between MGMT status and TMZ efficacy was statistically significant on multivariate analyses (p=0.0051). We found a predictive value of TMZ sensitivity in individual GSC cultures to patient survival (p=0.0089). We conclude that GSC-enriched cultures hold clinical and translational relevance by their ability to reflect the clinical heterogeneity in TMZ-sensitivity, substantiate the association between TMZ-sensitivity and MGMT-promotor methylation status and appear to have a stronger predictive value than MGMT-promotor methylation on clinical responses to TMZ.