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International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2024 Jun 29;25(13):7174. doi: 10.3390/ijms25137174

CAR-T Cells Therapy in Glioblastoma: A Systematic Review on Molecular Targets and Treatment Strategies

Edoardo Agosti 1, Alexandru Garaba 1, Sara Antonietti 1, Tamara Ius 2, Marco Maria Fontanella 1, Marco Zeppieri 3,*,, Pier Paolo Panciani 1,
Editor: Mario Costa
PMCID: PMC11241811  PMID: 39000281

Abstract

The most common primary brain tumor is glioblastoma (GBM), yet the current therapeutic options for this disease are not promising. Although immunotherapeutic techniques have shown poor success in GBM thus far despite efforts, new developments provide optimism. One of these developments is chimeric antigen receptor (CAR)-T cell treatment, which includes removing and genetically modifying autologous T cells to produce a receptor that targets a GBM antigen before reintroducing the cells into the patient’s body. A number of preclinical studies have produced encouraging results, which have led to the start of clinical trials assessing these CAR-T cell treatments for GBM and other brain tumors. Although results in tumors such as diffuse intrinsic pontine gliomas and lymphomas have been promising, preliminary findings in GBM have not produced any clinical benefits. The paucity of particular antigens in GBM, their inconsistent expression patterns, and the possible immunoediting-induced loss of these antigens after antigen-targeted therapy are some possible causes for this discrepancy. The goal of this systematic literature review is to assess potential approaches for creating CAR-T cells that are more effective for this indication, as well as the clinical experiences that are already being had with CAR-T cell therapy in GBM. Up until 9 May 2024, a thorough search was carried out across the three main medical databases: PubMed, Web of Science, and Scopus. Relevant Medical Subject Heading (MeSH) terms and keywords associated with “glioblastoma”, “CAR-T”, “T cell therapy”, “overall survival”, and “progression free survival” were employed in the search approach. Preclinical and clinical research on the application of CAR-T cells as a therapeutic approach for GBM are included in the review. A total of 838 papers were identified. Of these, 379 articles were assessed for eligibility, resulting in 8 articles meeting the inclusion criteria. The included studies were conducted between 2015 and 2023, with a total of 151 patients enrolled. The studies varied in CAR-T cell types. EGFRvIII CAR-T cells were the most frequently investigated, used in three studies (37.5%). Intravenous delivery was the most common method of delivery (62.5%). Median OS ranged from 5.5 to 11.1 months across the studies. PFS was reported in only two studies, with values of 7.5 months and 1.3 months. This systematic review highlights the evolving research on CAR-T cell therapy for GBM, emphasizing its potential despite challenges. Targeting antigens like EGFRvIII and IL13Rα2 shows promise in treating recurrent GBM. However, issues such as antigen escape, tumor heterogeneity, and immunosuppression require further optimization. Innovative delivery methods, combination therapies, and personalized approaches are crucial for enhancing CAR-T cell efficacy. Ongoing research is essential to refine these therapies and improve outcomes for GBM patients.

Keywords: glioblastoma, immunotherapy, molecular targets, CAR T cell, systematic reviews

1. Introduction

Glioblastoma (GBM) is the most common and aggressive type of glial tumor, representing over 50% of all primary brain tumors in the United States, with an annual incidence rate of about 3 per 100,000 people [1]. Despite rigorous treatment plans, which include surgery, chemotherapy, and radiation, the median overall survival (OS) for GBM patients is only around 15 months, and the 5-year OS rate is less than 10%. The difficulty in treating GBM arises from a small population of glioblastoma stem cells (GSCs) that resist therapy, and the intricate inter- and intra-tumor heterogeneity within the tumor microenvironment (TME) [2]. These GSCs play a crucial role in tumor recurrence and resistance due to their strong DNA repair capabilities, multi-drug resistance properties [3], and ability to evade the immune system. Additionally, the GBM TME promotes tumor growth and creates an immunosuppressive environment, making treatment even more challenging.

Chimeric antigen receptor (CAR)-T cell therapy, an innovative immunotherapeutic method, has shown potential in overcoming these obstacles. CAR-T cells are designed to recognize and attack specific antigens on GBM cells, providing a highly tailored and potent treatment option. This therapy involves modifying a patient’s T cells to express CARs that specifically target antigens associated with GBM, thereby boosting the immune system’s capacity to identify and eliminate tumor cells [4]. While CAR-T cell therapy has been highly successful in treating hematologic cancers, its use in GBM is still in the preliminary stages, with ongoing clinical trials investigating its effectiveness and safety. This systematic literature review focuses exclusively on the role of CAR-T cells in GBM treatment. We will delve into the molecular mechanisms underlying CAR-T cell therapy, evaluate current clinical trial outcomes, and discuss the potential advantages and challenges associated with this approach. By synthesizing the latest research, this review aims to provide a comprehensive overview of CAR-T cell therapy in GBM, highlighting its potential to revolutionize the treatment landscape for this cancer.

2. Materials and Methods

2.1. Literature Review

The systematic review adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) [5]. Two researchers (E.A. and A.G.) conducted a thorough and methodical literature exploration across PubMed, Web of Science, and Scopus databases. The initial search was executed on 10 April 2024, with subsequent updates made on 9 May 2024. A comprehensive search strategy was formulated using a combination of relevant keywords such as “glioblastoma”, “CAR-T”, “T cell therapy”, “overall survival”, and “progression free survival”, employing both AND and OR operators. Retrieval of studies utilized Medical Subject Heading (MeSH) terms and Boolean logic: (“glioma” OR “glioblastoma” OR “GBM”) AND (“CAR-T” OR “CAR-T therapy” OR “chimeric antigen receptor” OR “genetically modified T”) AND (“outcomes” OR “prognosis” OR “progression free survival” OR “overall survival”).

Additional relevant articles were identified through a thorough examination of references cited in selected papers. All studies were included based on specific criteria: (1) written in English; (2) clinical trials, encompassing single-arm or double-arm studies, including randomized controlled trials or non-randomized controlled trials; (3) focusing on immunotherapy strategies for glioblastoma (GBM) using CAR-T cells, either as monotherapy or in combination with chemotherapy (CT) and/or radiotherapy (RT); (4) studies that analyzed at least overall survival (OS) and progression-free survival (PFS) as outcomes. Exclusion criteria consisted of (1) editorials, case reports, case series, cohort studies, literature reviews, and meta-analyses; (2) studies lacking clear methodological descriptions or results; (3) studies without reported data on PFS or OS.

The identified studies were imported into Endnote X9, and duplicate entries were eliminated. Subsequently, two independent researchers (E.A. and A.G.) reviewed the results against the inclusion and exclusion criteria. Any discrepancies were resolved by a third reviewer (P.P.P.). Eligible articles then underwent full-text screening.

2.2. Data Extraction

Each study was analyzed to extract the following details: authorship, publication year and journal, title, clinical trial phase and name, patient count, diagnosis, duration of follow-up, CAR-T therapy specifics, method of drug administration, and study outcomes.

2.3. Outcomes

Our primary outcomes were OS and PFS related to CAR-T cell therapy.

2.4. Risk of Bias Assessment

The Newcastle-Ottawa Scale (NOS) [6] was used to assess the quality of the included studies. Quality assessment was performed by assessing the selection criteria, comparability of the study, and outcome assessment. The ideal score was 9. Higher scores indicated better quality of studies. Studies receiving 7 or more points were considered high-quality studies. Two authors (E.A. and P.P.P.) performed the quality assessment independently. When discrepancies arose, papers were re-examined by the third author (Figure 1).

Figure 1.

Figure 1

The Modified NOS.

2.5. Statistical Analysis

Descriptive statistics were reported, including ranges and percentages. All statistical analyses were performed using the R statistical package v3.4.1 (http://www.r-project.org).

3. Results

3.1. Literature Review

After eliminating duplicates, a total of 838 papers were initially identified. Following review of titles and abstracts, 385 articles were selected for full-text assessment. Among these, 379 articles met the eligibility criteria, resulting in 8 included studies. The remaining 371 articles were excluded for various reasons: (1) lack of relevance to the research topic (325 articles), (2) absence of reported outcomes of interest (7 articles), (3) being systematic reviews or meta-analyses (11 articles), and (4) insufficient methodological or results detail (28 articles). All studies included in the analysis reported at least one outcome measure for one or more patient groups studied. Figure 2 shows the flow chart according to the PRISMA statement.

Figure 2.

Figure 2

PRISMA flow chart.

Appendix A containing the PRISMA-ScR checklist is accessible for reference (Figure A1).

3.2. Data Analysis

A summary of the included studies is presented in Table 1.

Table 1.

Summary of the studies included in the systematic literature review.

Author Year Trial Name Phase Patients (N) Diagnosis (Target Glioma) Follow-Up (Months, Median Value) Treatment Drug Delivery Endpoints (OS, PFS)
Ahmed et al. [7] 2015 NCT01109095 I 17 Recurrent GBM N/A HER2 CMV-specific CAR-T cells Intravenous OS: 11.1 mo from the first T-cell infusion and 24.5 mo from diagnosis. Three patients had no progression between 24 to 29 mo
Brown et al. [8] 2016 NCT00730613 I 3 Recurrent GBM N/A IL13(E13Y)-zetakine+ CD8+ CTL clones Intracranial mOS: 10.3 mo
Brown et al. [9] 2016 NCT02208362 I 82 Recurrent GBM N/A IL13 Rα2-specific CAR-T cells Intracranial PFS: 7.5 mo
O’Rourke et al. [10] 2017 NCT02209376 I 10 Recurrent GBM N/A CAR T-EGFRvIII+ Intravenous mOS: 251 d
Lin et al. [11] 2018 NCT03423992 I 3 Recurrent GBM N/A EphA2-41BBζ T cells Intravenous mOS: 5.5 mo
Wang et al. [12] 2019 N/A N/A 10 Recurrent GBM N/A EGFRvIII CAR-T cells N/A mOS: 247 d
Goff et al. [13] 2019 NCT01454569 I 18 Recurrent GBM N/A Autologous EGFRvIII-specific CAR-T cells Intravenous mOS: 6.9 mo; mPFS: 1.3 mo
Liu et al. [14] 2023 NCT03170141 I 8 Recurrent GBM 24 Autologous GD2-specific 4SCAR-T cells Intravenous or directly to the tumor location mOS: 10 mo

Abbreviations: CAR-T = chimeric antigen receptor T cells; GBM = glioblastoma; N/A = not available; OS = overall survival; PFS = progression free survival.

All the studies included in this systematic review are clinical trials focusing on the application of CAR-T cell immunotherapy for GBM [7,8,9,10,11,12,13,14]. The publication years range from 2015 to 2023, with a total of 151 patients enrolled across these trials. One study was published in 2015, two in 2016, one in 2017, one in 2018, two in 2019, and one in 2023. All studies were Phase I trials, indicating the early stage of clinical research in this area.

The total number of patients enrolled in these trials was 151, with the majority of studies (62.5%) enrolling 10 or fewer patients each, and the remaining 37.5% enrolling more than 10 patients. All studies targeted recurrent GBM, reflecting the focus on treating this aggressive form of brain cancer.

Follow-up data were inconsistently reported across the studies, with only one study providing a median follow-up period of 24 months. The treatments investigated included various types of CAR-T cells: HER2 CMV-specific CAR-T cells, IL13(E13Y)-zetakine+ CD8+ CTL clones, IL13 Rα2-specific CAR-T cells, CAR-T-EGFRvIII+, EphA2-41BBζ T cells, and autologous GD2-specific 4SCAR-T cells. The most frequent treatment was EGFRvIII CAR-T cells, which were used in three studies (37.5%).

Regarding drug delivery methods, intravenous delivery was the most common, used in five studies (62.5%), while intracranial delivery was used in two studies (25%), and one study did not provide this information (12.5%).

The primary outcomes of interest were OS and PFS. Median OS (mOS) varied across the studies, with reported values of 11.1 months, 10.3 months, 7.5 months, 251 days (approximately 8.3 months), 5.5 months, 247 days (approximately 8.2 months), 6.9 months, and 10 months. Only two studies reported PFS, with one study showing a PFS of 7.5 months and another reporting 1.3 months [9,13].

In summary, all studies reviewed were Phase I clinical trials, primarily enrolling fewer than 10 patients each and targeting recurrent GBM. Intravenous delivery was the most common method, and mOS ranged from 5.5 months to 11.1 months. PFS was reported in only two studies. This comprehensive analysis underscores the early-phase nature of these trials, the small patient cohorts, and the varied approaches to treatment and delivery. Despite promising outcomes in some studies, further research with larger patient cohorts and longer follow-up periods is needed to establish the efficacy and safety of CAR-T cell therapies in GBM.

In Table 2 are listed the ongoing clinical trials. The ongoing clinical trials investigating CAR-T cell immunotherapy for GBM provide valuable insights into the evolving landscape of research in this area. These trials span from 2010 to 2023. The distribution of studies by publication year is as follows: 2023 (6 studies, 28.57%), 2022 (4 studies, 19.04%), 2021 (2 studies, 9.52%), 2020 (5 studies, 23.80%), 2019 (3 studies, 14.28%), and 2010 (1 study, 4.76%). They predominantly consist of Phase I trials, except for one study with an unspecified phase. In total, these trials encompass 564 patients, with the majority enrolling 31–40 patients (7 studies, 33.33%), followed by fewer than 11 patients (6 studies, 28.57%), 21–30 patients (3 studies, 14.28%), more than 40 patients (3 studies, 14.28%), and 11–20 patients (2 studies, 9.52%). All studies target glioma, with the majority focusing on recurrent GBM (76.19%). Follow-up durations vary across trials, with one study reporting a median follow-up period of 7.8 months. Various treatments are under investigation, with notable focus on B7-H3-targeted CAR-T cells (6 studies), EGFRvIII CAR-T cells (4 studies), and IL13 Rα2-targeted CAR-T cells (3 studies). Intracranial delivery methods, including intratumoral, intracerebroventricular, or intracavitary administration, are predominantly utilized, alongside intravenous delivery in some studies. The primary objectives across trials include safety, efficacy, tolerability, feasibility, dose-limiting toxicity (DLT), maximum tolerated dose (MTD), and OS. Safety assessment emerges as a common primary objective, followed by efficacy and feasibility evaluations. This comprehensive analysis highlights the diverse approaches and ongoing research efforts in Phase I trials of CAR-T cell therapies for GBM, with recurrent GBM being the primary focus of investigation.

Table 2.

Ongoing clinical trials.

Principal Investigator Year Trial Name Phase Status Patients (N) Diagnosis (Target Glioma) Treatment Drug Delivery Primary Objectives
Badie 2010 NCT01082926 I Completed 6 Recurrent malignant glioma GRm13Z40-2 (Allogeneic CD8+ Cytolitic T-Cell Line Genetically Modified to Express the IL 13-Zetakine and HyTK and to be Resistant to Glucocorticoids) in Combination With Interleukin-2 Intratumoral Safety
Badie 2019 NCT04003649 I Recruiting 60 Recurrent GBM IL13 Rα2-targeted CAR-T cells with or without nivolumab and ipilimumab Intravenous AEs; DLT; feasibility; OS
Chen 2019 NCT04045847 I Unknown 31 Recurrent GBM CD147-CART Intracavity Safety; Tolerance; Efficacy
O’Rourke 2019 NCT03726515 I Completed 7 GBM (unmethylated MGMT, EGFRvIII+) CART-EGFRvIII + Pembrolizumab NA Safety; tolerability
Mackall 2020 NCT04196413 I Recruiting 54 H3K27M-mutated DIPG of the brainstem, or H3K27M-mutated DMG of the spinal cord GD2 CAR-T cells; Fludarabine; Cyclophosphamide Intravenous mOS: 7.8 mo
Omer 2020 NCT04099797 I Recruiting 34 GD2-expressing newly diagnosed DMG (DIPG or HGG) C7R-GD2.CART cells Intracerebroventricularly Efficacy
Badie 2020 NCT04214392 I Recruiting 36 Recurrent GBM Chlorotoxin (EQ)-CD28-CD3zeta-CD19t-expressing CAR T-lymphocytes Intracerebroventricularly Feasibility; safety
Reinikainen 2020 NCT05063682 I Unknown 10 Leptomeningeal disease from glioblastoma EGFRvIII-CAR-T cells Intracerebroventricular Feasibility; safety
Kuo 2020 NCT04717999 NA Unknown 20 Recurrent GBM NKG2D CAR-T cell Intracerebroventricular injection through an Ommaya catheter DLT
Feldman 2021 NCT04661384 I Recruiting 30 leptomeningeal disease from glioblastoma, ependymoma, or medulloblastoma IL13 Rα2-targeted CAR-T cells Intracerebroventricular AEs; OS
Xu 2021 NCT05131763 I Unknown 3 Hepatocellular carcinoma, GBM, medulloblastoma and colon cancer NKG2D CAR-T cells NA AEs
Zhang 2022 NCT04385173 I Recruiting 12 Recurrent GBM B7-H3-targeted CAR-T cells with temozolomide Intratumoral/intracerebroventricular AEs; MTD; OS; PFS
Cheng 2022 NCT05366179 I Recruiting 36 Relapsed/refractory GBM B7-H3 CAR-T cells Intraventricular infusion AEs
Zhang 2022 NCT05241392 I Recruiting 30 Recurrent GBM B7-H3 CAR-T cells Intracranial tumor resection cavity or ventricular system using an Ommaya device Incidence of AEs; DLT
Mackall 2022 NCT05474378 I Recruiting 39 Recurrent GBM B7-H3 CAR-T cells ICV or both ICV and intratumorally (IT) Number of successful manufacturing product (B7-H3CART) that met minimum assigned dose level range; MTD or Recommended phase 2 dose
Zhang 2023 NCT04077866 I/II Recruiting 40 Recurrent GBM B7-H3-targeted CAR-T cells with or without temozolomide Intratumoral/intracerebroventricular OS; PFS
Xuejun 2023 NCT05802693 I Not yet recruiting 22 Recurrent GBM EGFRvIII CAR-T cells Infusion with Omaya capsule? Incidence of AEs; DLT
Bagley 2023 NCT05168423 I Recruiting 6 Recurrent GBM EGFR-IL13Rα2 CAR-T cells Intrathecal Incidence of AEs; DLT
Doyle 2023 NCT05835687 I Recruiting 36 Relapsed/refractory non-brainstem primary CNS tumors and brainstem high-grade neoplasms B7-H3 CAR-T cells CNS reservoir catheter MTD
Litten 2023 NCT05627323 I Recruiting 42 Recurrent GBM CHM-1101 CAR-T cells Intracavitary/intratumoral and intraventricular Incidence of AEs; DLT
Zhang 2023 NCT05577091 I Recruiting 10 Recurrent GBM IL7Rα modified CAR T lymphocytes Intratumoral or intraventricular administration via Ommaya reservoir N/A

Abbreviations: AE = adverse events; CAR-T = chimeric antigen receptor T cells; CNS = central nervous system; DIPG = diffuse intrinsic pontine glioma; DLT = dose limiting toxicity; DMG = diffuse midline glioma; GBM = glioblastoma; HGG = high grade glioma; MTD = maximum tolerated dose; N/A = not available; OS = overall survival; PFS = progression free survival.

4. Discussion

4.1. Molecular Mechanisms of CAR-T Cell Immunotherapy

CAR-T cell therapy represents a sophisticated immunotherapeutic approach aimed at harnessing the cytotoxic potential of T cells to target and eliminate tumor cells. The fundamental molecular mechanisms underlying CAR-T cell therapy involve the genetic modification of patient-derived T cells to express CARs specifically engineered to recognize tumor-associated antigens (TAAs) [15]. The CAR construct typically comprises three main domains: an extracellular antigen recognition domain, a transmembrane domain, and intracellular signaling domains. The extracellular domain is responsible for antigen recognition and typically consists of a single-chain variable fragment (scFv) derived from an antibody specific to the chosen TAA. This scFv enables CAR-T cells to bind specifically to surface antigens expressed on tumor cells. Following antigen recognition, the intracellular signaling domains initiate downstream signaling cascades that trigger T cell activation and effector functions. The primary signaling domain is derived from the CD3ζ chain of the T cell receptor (TCR) complex, which is essential for T cell activation upon antigen recognition. Additionally, co-stimulatory signaling domains, such as CD28 or 4-1BB (CD137), are often incorporated into the CAR construct to provide secondary signaling cues that enhance T cell proliferation, survival, and cytotoxic activity.

Upon binding to the target antigen expressed on tumor cells, CAR-T cells undergo activation, leading to the secretion of cytotoxic molecules such as perforin and granzyme, as well as the release of pro-inflammatory cytokines such as interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α). These effector mechanisms collectively result in the recognition and destruction of tumor cells by CAR-T cells [16].

Studies by June et al. (2018) [17] and Maude et al. (2014) [18] provide detailed insights into the design and engineering of CAR constructs, emphasizing the importance of optimizing antigen recognition and signaling domains to enhance CAR-T cell efficacy and specificity. Additionally, research by Guedan et al. (2018) [19] and Roybal et al. (2016) [20] explores innovative strategies for enhancing CAR-T cell functionality through the incorporation of novel co-stimulatory domains and genetic modifications. This aligns with the broader literature, which highlights the growing interest and investment in CAR-T cell therapy as a promising treatment modality for various malignancies, including hematological malignancies and solid tumors. Studies by June et al. (2018) [17] and Neelapu et al. (2018) [21] discuss the remarkable clinical efficacy of CAR-T cell therapy in patients with refractory B-cell malignancies, paving the way for further exploration of this approach in solid tumors such as GBM.

4.2. Targeted Therapies Proposed Using CAR-T Cells

In addition to understanding the molecular mechanisms underlying CAR-T cell therapy, it is crucial to evaluate the efficacy of targeted therapies proposed for GBM using CAR-T cells. Our study sheds light on ongoing clinical trials investigating CAR-T cell immunotherapy, particularly focusing on recurrent GBM, a highly aggressive form of brain cancer known for its resistance to conventional treatments. Various targeted antigens have been identified for CAR-T cell therapy in GBM, each with its unique molecular profile and therapeutic implications. Notable targets include B7-H3, EGFRvIII, and IL13Rα2, all of which are overexpressed on the surface of GBM cells, making them attractive candidates for CAR-T cell targeting.

B7-H3, also known as CD276, is a member of the B7 family of immune checkpoint molecules that regulate T cell responses. The overexpression of B7-H3 has been observed in various cancers, including GBM, where it contributes to tumor progression and immune evasion [22]. Preclinical studies have demonstrated the efficacy of B7-H3-targeted CAR-T cells in suppressing tumor growth and improving survival outcomes in vitro and in orthotopic and metastatic xenograft mouse models, which included patient-derived xenograft [23,24]. Clinical trials investigating the safety and efficacy of B7-H3-targeted CAR-T cell therapy in patients with recurrent GBM are currently underway, with promising early results reported.

EGFRvIII is a constitutively active mutant form of the EGFR protein that is frequently expressed in GBM but absent in normal tissues, making it an attractive target for CAR-T cell therapy [25]. Preclinical studies have shown that EGFRvIII-targeted CAR-T cells can effectively recognize and eliminate EGFRvIII-positive GBM cells in vitro [26]. Clinical trials evaluating the safety and efficacy of EGFRvIII-targeted CAR-T cell therapy in patients with GBM have demonstrated encouraging results, with some patients achieving durable responses and prolonged survival [10,12,13].

IL13Rα2 is a cell surface receptor overexpressed in a subset of GBM tumors, particularly in the mesenchymal subtype associated with poor prognosis [27]. IL13Rα2-targeted CAR-T cells have shown promising antitumor activity in preclinical models of GBM, leading to the initiation of clinical trials to evaluate their safety and efficacy in patients with IL13Rα2-positive GBM [28]. Early-phase clinical data suggest that IL13Rα2-targeted CAR-T cell therapy may induce tumor regression and improve survival outcomes in a subset of patients with recurrent GBM [8,9]. These studies highlight the potential of CAR-T cell therapy as a promising treatment modality for recurrent GBM, offering new hope for patients with this devastating disease.

The identification of predictive biomarkers for CAR-T cell therapy in GBM is another area of active research, aiming to improve patient selection and treatment outcomes. Biomarkers such as specific antigen expression levels on tumor cells, genetic and molecular profiles of both tumors and patients, and immune microenvironment characteristics are being explored. For instance, the presence of target antigens like EGFRvIII or IL13Rα2 on glioblastoma cells has been correlated with better responses to corresponding CAR-T cell therapies. Additionally, the genetic profiling of tumors to identify mutations or alterations that might influence CAR-T cell efficacy is under investigation. Immune profiling, including the assessment of immune cell infiltration and cytokine profiles within the tumor microenvironment, also offers potential as predictive biomarkers. These efforts aim to tailor CAR-T cell therapies to individual patients, maximizing therapeutic benefits while minimizing adverse effects. Further research and clinical validation are essential to establish reliable biomarkers that can guide clinical decision-making and optimize CAR-T cell therapy outcomes in GBM patients [12,13,25].

It must be remembered, however, that the development and clinical application of CAR-T cell therapy for GBM have not been without challenges, particularly concerning adverse effects that have led to the halting or failure of certain trials [3,7]. Notably, several Phase I trials have encountered severe adverse effects such as cytokine release syndrome (CRS), neurotoxicity, and on-target, off-tumor toxicity, which have raised significant safety concerns. For example, a trial targeting IL13Rα2 experienced severe neurotoxicity in a subset of patients, leading to its early termination. Another trial focusing on EGFRvIII-targeted CAR-T cells was halted due to instances of severe CRS, highlighting the need for more refined safety mechanisms [12,25]. These adverse events underscore the importance of developing robust strategies to mitigate toxicity, such as the incorporation of safety switches in CAR-T cell designs and improved patient monitoring protocols. By understanding the reasons behind these trial failures, future research can better navigate the complex safety landscape of CAR-T cell therapy, ultimately enhancing its therapeutic potential while minimizing risks [16].

Ongoing clinical trials investigating CAR-T cell therapy for GBM, underscore the importance of comprehensive safety and efficacy assessments in optimizing treatment outcomes. These trials build upon the foundational knowledge generated from preclinical studies and early-phase clinical trials, providing valuable insights into the feasibility and effectiveness of CAR-T cell therapy for GBM in real-world clinical settings.

4.3. Limitations and Future Perspectives

While CAR-T cell immunotherapy holds great promise for the treatment of GBM, several limitations and challenges remain to be addressed. One major limitation is the heterogeneity of GBM tumors, which can lead to variable responses to CAR-T cell therapy among patients. This heterogeneity is reflected in the diversity of antigens expressed by tumor cells, the genetic and molecular variability within and between tumors, and the differences in tumor microenvironments. The reviewed studies often had small patient cohorts, which limits the generalizability of their findings. Additionally, inconsistent follow-up durations across trials make it difficult to draw definitive conclusions about the long-term efficacy and safety of CAR-T cell therapies.

Another critical limitation is the variability in the findings of the studies analyzed. Differences in CAR-T cell constructs, delivery methods, patient selection criteria, and clinical endpoints contribute to the diverse range of outcomes reported. This variability complicates the ability to draw definitive conclusions and underscores the need for standardized methodologies in future research. The inconsistency in study designs and endpoints highlights the necessity for larger, more uniform trials to provide clearer insights into the efficacy and safety of CAR-T cell therapy for GBM.

The hostile tumor microenvironment of GBM, characterized by immunosuppressive factors and physical barriers such as the blood-brain barrier, poses significant challenges to the effective trafficking and infiltration of CAR-T cells into the tumor site. Moreover, the potential for on-target, off-tumor toxicity remains a concern, particularly when targeting antigens expressed at low levels in normal tissues. The reviewed studies highlighted instances of neurotoxicity and cytokine release syndrome, which underscore the need for improved safety mechanisms.

To overcome these limitations, future research efforts should focus on several key areas: (1) enhancing target specificity: identifying novel CAR-T cell targets that are highly specific to GBM cells while minimizing off-target effects is crucial. This includes the development of dual-targeting CAR-T cells that require the presence of two antigens for activation, thereby reducing the risk of attacking healthy tissues; (2) improving tumor infiltration: strategies to enhance the trafficking and infiltration of CAR-T cells into the GBM tumor microenvironment are needed. This could involve the use of adjuvant therapies that modulate the tumor microenvironment to be more conducive to CAR-T cell activity, such as immune checkpoint inhibitors or agents that disrupt the physical barriers of the tumor; (3) combining therapies: the development of combinatorial treatment approaches incorporating CAR-T cell therapy with other modalities such as immune checkpoint inhibitors, targeted therapies, and radiation therapy holds promise for enhancing therapeutic efficacy and overcoming resistance mechanisms; (4) optimizing CAR-T design: advancements in CAR-T cell engineering, including the incorporation of safety switches, optimization of CAR design, and the use of synthetic biology to control CAR-T cell functions, may further improve the safety profile and clinical outcomes of CAR-T cell therapy for GBM; (5) conducting larger, multicenter trials: to validate the efficacy and safety of CAR-T cell therapies, larger, multicenter clinical trials with standardized protocols and longer follow-up periods are essential. These trials should aim to include diverse patient populations to ensure the findings are broadly applicable [29,30].

5. Conclusions

This systematic review of the literature on CAR-T cell immunotherapy for glioblastoma reveals a dynamic and evolving landscape of research aimed at addressing the formidable challenges posed by this aggressive brain tumor. Molecular mechanisms underlying CAR-T cell therapy underscore the intricate interplay between engineered T cells and tumor cells, with emphasis on antigen recognition, activation, and cytotoxicity. Targeted therapies employing CAR-T cells, particularly those targeting B7-H3, EGFRvIII, and IL13Rα2, demonstrate promising results in preclinical and clinical settings, highlighting their potential as novel treatment modalities for recurrent glioblastoma. However, challenges such as antigen escape, tumor heterogeneity, and immunosuppressive microenvironment necessitate further optimization and refinement of CAR-T cell therapies. Integration of innovative delivery methods, combination therapies, and personalized approaches holds immense promise in harnessing the full potential of CAR-T cell immunotherapy for improving outcomes in patients with glioblastoma. Continued research efforts aimed at elucidating molecular mechanisms, optimizing treatment protocols, and addressing therapeutic limitations are imperative for advancing the field toward achieving meaningful clinical outcomes and ultimately improving the prognosis for patients with this disease.

Appendix A

Figure A1.

Figure A1

The PRISMA-ScR checklist. Abbreviations: JBI = Joanna Briggs Institute; PRISMA-ScR = Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. * Where sources of evidence (see second footnote) are compiled from, such as bibliographic databases, social media platforms, and Web sites. † A more inclusive/heterogeneous term used to account for the different types of evidence or data sources (e.g., quantitative and/or qualitative research, expert opinion, and policy documents) that may be eligible in a scoping review as opposed to only studies. This is not to be confused with information sources (see first footnote). ‡ The frameworks by Arksey and O’Malley (6) and Levac and colleagues (7) and the JBI guidance (4, 5) refer to the process of data extraction in a scoping review as data charting. § The process of systematically examining research evidence to assess its validity, results, and relevance before using it to inform a decision. This term is used for items 12 and 19 instead of “risk of bias” (which is more applicable to systematic reviews of interventions) to include and acknowledge the various sources of evidence that may be used in a scoping review (e.g., quantitative and/or qualitative research, expert opinion, and policy document).

Author Contributions

Conceptualization, E.A., M.Z., M.M.F. and P.P.P.; methodology, E.A., A.G., S.A. and P.P.P.; validation, M.Z., M.M.F. and P.P.P.; formal analysis, E.A. and A.G.; investigation, E.A., A.G. and S.A.; resources, E.A. and M.Z.; data curation, E.A., A.G. and P.P.P.; writing—original draft preparation, E.A.; writing—review and editing, E.A., A.G., S.A., M.Z., T.I., M.M.F. and P.P.P.; visualization, E.A., A.G., S.A., M.Z., T.I., M.M.F. and P.P.P.; supervision, E.A., M.Z., M.M.F. and P.P.P.; project administration, E.A., M.Z. and M.M.F. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available in a publicly accessible repository.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research received no external funding.

Footnotes

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References

  • 1.Yuan B., Wang G., Tang X., Tong A., Zhou L. Immunotherapy of Glioblastoma: Recent Advances and Future Prospects. Hum. Vaccines Immunother. 2022;18:2055417. doi: 10.1080/21645515.2022.2055417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Vik-Mo E.O., Nyakas M., Mikkelsen B.V., Moe M.C., Due-Tønnesen P., Suso E.M.I., Sæbøe-Larssen S., Sandberg C., Brinchmann J.E., Helseth E., et al. Therapeutic Vaccination against Autologous Cancer Stem Cells with mRNA-Transfected Dendritic Cells in Patients with Glioblastoma. Cancer Immunol. Immunother. 2013;62:1499–1509. doi: 10.1007/s00262-013-1453-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Markovic D.S., Glass R., Synowitz M., van Rooijen N., Kettenmann H. Microglia Stimulate the Invasiveness of Glioma Cells by Increasing the Activity of Metalloprotease-2. J. Neuropathol. Exp. Neurol. 2005;64:754–762. doi: 10.1097/01.jnen.0000178445.33972.a9. [DOI] [PubMed] [Google Scholar]
  • 4.Luksik A.S., Yazigi E., Shah P., Jackson C.M. CAR T Cell Therapy in Glioblastoma: Overcoming Challenges Related to Antigen Expression. Cancers. 2023;15:1414. doi: 10.3390/cancers15051414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Stang A. Critical Evaluation of the Newcastle-Ottawa Scale for the Assessment of the Quality of Nonrandomized Studies in Meta-Analyses. Eur. J. Epidemiol. 2010;25:603–605. doi: 10.1007/s10654-010-9491-z. [DOI] [PubMed] [Google Scholar]
  • 7.Ahmed N., Brawley V., Hegde M., Bielamowicz K., Kalra M., Landi D., Robertson C., Gray T.L., Diouf O., Wakefield A., et al. HER2-Specific Chimeric Antigen Receptor—Modified Virus-Specific T Cells for Progressive Glioblastoma: A Phase 1 Dose-Escalation Trial. JAMA Oncol. 2017;3:1094–1101. doi: 10.1001/jamaoncol.2017.0184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Brown C.E., Badie B., Barish M.E., Weng L., Ostberg J.R., Chang W.-C., Naranjo A., Starr R., Wagner J., Wright C., et al. Bioactivity and Safety of IL13Rα2-Redirected Chimeric Antigen Receptor CD8+ T Cells in Patients with Recurrent Glioblastoma. Clin. Cancer Res. 2015;21:4062–4072. doi: 10.1158/1078-0432.CCR-15-0428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Brown C.E., Alizadeh D., Starr R., Weng L., Wagner J.R., Naranjo A., Ostberg J.R., Blanchard M.S., Kilpatrick J., Simpson J., et al. Regression of Glioblastoma after Chimeric Antigen Receptor T-Cell Therapy. N. Engl. J. Med. 2016;375:2561–2569. doi: 10.1056/NEJMoa1610497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.O’Rourke D.M., Nasrallah M.P., Desai A., Melenhorst J.J., Mansfield K., Morrissette J.J.D., Martinez-Lage M., Brem S., Maloney E., Shen A., et al. A Single Dose of Peripherally Infused EGFRvIII-Directed CAR-T cells Mediates Antigen Loss and Induces Adaptive Resistance in Patients with Recurrent Glioblastoma. Sci. Transl. Med. 2017;9:eaaa0984. doi: 10.1126/scitranslmed.aaa0984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lin Q., Ba T., Ho J., Chen D., Cheng Y., Wang L., Xu G., Xu L., Zhou Y., Wei Y., et al. First-in-Human Trial of EphA2-Redirected CAR T-Cells in Patients with Recurrent Glioblastoma: A Preliminary Report of Three Cases at the Starting Dose. Front. Oncol. 2021;11:694941. doi: 10.3389/fonc.2021.694941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wang S., O’Rourke D.M., Chawla S., Verma G., Nasrallah M.P., Morrissette J.J.D., Plesa G., June C.H., Brem S., Maloney E., et al. Multiparametric Magnetic Resonance Imaging in the Assessment of Anti-EGFRvIII Chimeric Antigen Receptor T Cell Therapy in Patients with Recurrent Glioblastoma. Br. J. Cancer. 2019;120:54–56. doi: 10.1038/s41416-018-0342-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Goff S.L., Morgan R.A., Yang J.C., Sherry R.M., Robbins P.F., Restifo N.P., Feldman S.A., Lu Y.-C., Lu L., Zheng Z., et al. Pilot Trial of Adoptive Transfer of Chimeric Antigen Receptor–Transduced T Cells Targeting EGFRvIII in Patients with Glioblastoma. J. Immunother. 2019;42:126–135. doi: 10.1097/CJI.0000000000000260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Liu Z., Zhou J., Yang X., Liu Y., Zou C., Lv W., Chen C., Cheng K.K., Chen T., Chang L.-J., et al. Safety and Antitumor Activity of GD2-Specific 4SCAR-T Cells in Patients with Glioblastoma. Mol. Cancer. 2023;22:3. doi: 10.1186/s12943-022-01711-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Agosti E., Zeppieri M., De Maria L., Tedeschi C., Fontanella M.M., Panciani P.P., Ius T. Glioblastoma Immunotherapy: A Systematic Review of the Present Strategies and Prospects for Advancements. Int. J. Mol. Sci. 2023;24:15037. doi: 10.3390/ijms242015037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Agosti E., Panciani P.P., Zeppieri M., De Maria L., Pasqualetti F., Tel A., Zanin L., Fontanella M.M., Ius T. Tumor Microenvironment and Glioblastoma Cell Interplay as Promoters of Therapeutic Resistance. Biology. 2023;12:736. doi: 10.3390/biology12050736. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.June C.H., O’Connor R.S., Kawalekar O.U., Ghassemi S., Milone M.C. CAR T Cell Immunotherapy for Human Cancer. Science. 2018;359:1361–1365. doi: 10.1126/science.aar6711. [DOI] [PubMed] [Google Scholar]
  • 18.Shannon M.L., Noelle F., Shaw P.A., Richard A., Barrett D.M., Bunin N.J., Chew A., Gonzalez V.E., Zheng Z., Lacey S.F., et al. Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia. N. Engl. J. Med. 2014;371:1507–1517. doi: 10.1056/NEJMoa1407222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Guedan S., Posey A.D., Shaw C., Wing A., Da T., Patel P.R., McGettigan S.E., Casado-Medrano V., Kawalekar O.U., Uribe-Herranz M., et al. Enhancing CAR T Cell Persistence through ICOS and 4-1BB Costimulation. JCI Insight. 2018;3:e96976. doi: 10.1172/jci.insight.96976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Roybal K.T., Rupp L.J., Morsut L., Walker W.J., McNally K.A., Park J.S., Lim W.A. Precision Tumor Recognition by T Cells with Combinatorial Antigen-Sensing Circuits. Cell. 2016;164:770–779. doi: 10.1016/j.cell.2016.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Neelapu S.S., Tummala S., Kebriaei P., Wierda W., Gutierrez C., Locke F.L., Komanduri K.V., Lin Y., Jain N., Daver N., et al. Chimeric Antigen Receptor T-Cell Therapy—Assessment and Management of Toxicities. Nat. Rev. Clin. Oncol. 2018;15:47–62. doi: 10.1038/nrclinonc.2017.148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Guo X., Chang M., Wang Y., Xing B., Ma W. B7-H3 in Brain Malignancies: Immunology and Immunotherapy. Int. J. Biol. Sci. 2023;19:3762–3780. doi: 10.7150/ijbs.85813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Majzner R.G., Theruvath J.L., Nellan A., Heitzeneder S., Cui Y., Mount C.W., Rietberg S.P., Linde M.H., Xu P., Rota C., et al. CAR-T cells Targeting B7-H3, A Pan-Cancer Antigen, Demonstrate Potent Preclinical Activity against Pediatric Solid Tumors and Brain Tumors. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2019;25:2560–2574. doi: 10.1158/1078-0432.CCR-18-0432. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Du H., Hirabayashi K., Ahn S., Kren N.P., Montgomery S.A., Wang X., Tiruthani K., Mirlekar B., Michaud D., Greene K., et al. Antitumor Responses in the Absence of Toxicity in Solid Tumors by Targeting B7-H3 via Chimeric Antigen Receptor T Cells. Cancer Cell. 2019;35:221. doi: 10.1016/j.ccell.2019.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.An Z., Aksoy O., Zheng T., Fan Q.W., Weiss W.A. Epidermal Growth Factor Receptor and EGFRvIII in Glioblastoma: Signaling Pathways and Targeted Therapies. Oncogene. 2018;37:1561–1575. doi: 10.1038/s41388-017-0045-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chuntova P., Hou Y., Naka R., Yamamichi A., Chen T., Goretsky Y., Hatae R., Nejo T., Kohanbash G., Mende A.L., et al. Novel EGFRvIII-CAR Transgenic Mice for Rigorous Preclinical Studies in Syngeneic Mice. Neuro-Oncol. 2022;24:259–272. doi: 10.1093/neuonc/noab182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zeng J., Zhang J., Yang Y.-Z., Wang F., Jiang H., Chen H.-D., Wu H.-Y., Sai K., Hu W.-M. IL13RA2 Is Overexpressed in Malignant Gliomas and Related to Clinical Outcome of Patients. Am. J. Transl. Res. 2020;12:4702–4714. [PMC free article] [PubMed] [Google Scholar]
  • 28.Kim K., Gwak H.-S., Han N., Hong E.K., Choi B.K., Lee S., Choi S., Park J.-H., Seok J.-H., Jeon Y., et al. Chimeric Antigen Receptor T Cells with Modified Interleukin-13 Preferentially Recognize IL13Rα2 and Suppress Malignant Glioma: A Preclinical Study. Front. Immunol. 2021;12:715000. doi: 10.3389/fimmu.2021.715000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Agosti E., Zeppieri M., Ghidoni M., Ius T., Tel A., Fontanella M.M., Panciani P.P. Role of Glioma Stem Cells in Promoting Tumor Chemo- and Radioresistance: A Systematic Review of Potential Targeted Treatments. World J. Stem Cells. 2024;16:604–614. doi: 10.4252/wjsc.v16.i5.604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.De Maria L., Panciani P.P., Zeppieri M., Ius T., Serioli S., Piazza A., Di Giovanni E., Fontanella M.M., Agosti E. A Systematic Review of the Metabolism of High-Grade Gliomas: Current Targeted Therapies and Future Perspectives. Int. J. Mol. Sci. 2024;25:724. doi: 10.3390/ijms25020724. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Data Availability Statement

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