Abstract
Glioblastoma, also referred to as glioblastoma multiforme (GBM), is grade IV astrocytoma characterized by being fast-growing and the most aggressive brain tumor. In adults, it is the most prevalent type of malignant brain tumor. Despite the advancements in both diagnosis tools and therapeutic treatments, GBM is still associated with poor survival rate without any statistically significant improvement in the past three decades. Patient's genome signature is one of the key factors causing the development of this tumor, in addition to previous radiation exposure and other environmental factors. Researchers have identified genomic and subsequent molecular alterations affecting core pathways that trigger the malignant phenotype of this tumor. Targeting intrinsically altered molecules and pathways is seen as a novel avenue in GBM treatment. The present review shed light on signaling pathways and intrinsically altered molecules implicated in GBM development. It discussed the main challenges impeding successful GBM treatment, such as the blood brain barrier and tumor microenvironment (TME), the plasticity and heterogeneity of both GBM and TME and the glioblastoma stem cells. The present review also presented current advancements in GBM molecular targeted therapy in clinical trials. Profound and comprehensive understanding of molecular participants opens doors for innovative, more targeted and personalized GBM therapeutic modalities.
Keywords: glioblastoma multiforme, molecular targeted therapy, metabolism, signal transduction, blood-brain barrier, tumor microenvironment
1. Introduction
Glioblastoma (GBM) is the most aggressive and deadly form of malignant brain cancers. It accounts for ~80% of all primary brain gliomas and ~60% of all adult brain tumors (1). Currently, surgical resection of the tumor, followed by radiotherapy and temozolomide, is the typical treatment used for GBM (2). GBM is associated with poor survival rate, despite the enhancements in diagnosis tools, surgical techniques and therapeutic approaches; the median survival rate is ~14–20 months and fewer than 5% of the patients survive 5 years post-treatment (3). Moreover, the survival rates for patients with GBMs have not shown statistically significant improvements in the last three decades (4). Thus, there is a need of new therapeutic approaches that inhibit GBM growth, impair its migration and invasion ability and sensitize it to therapy.
The use of high throughput technology in the last decade allowed researchers to classify GBM according to their genomic signature. Based on The Cancer Genome Atlas analysis, four different GBM sub-classes are defined: i) The neural subtype that represents 16% of GBM and are characterized by the expression of neuron markers such as NEFL, GABRA1, SYT1, and SLC1A5, ii) the pro-neural subtype that shows an alteration of PGFRA, a point mutation in IDH1and TP3 and an overexpression in development genes such as NKX2-2, OLIG2, iii) the mesenchymal subtype that is distinguished with alterations in neurofibromatosis type 1 (NF1), phosphatase and tensin homolog (PTEN) point mutation and expression of mesenchymal genes such as MET, CD44, iv) the classical subtype that displays EGFR amplification, CDKN2 A deletion, and p53 mutations (5). Subsequently, researchers have detected several molecular and genomic alterations in core pathways that regulate GBM cell viability, growth, metastasis and invasion. It is thus important to target these altered molecules in order to inhibit GBM proliferation and progression. The present review highlights current understanding of the molecular alterations commonly involved in GBM (Fig. 1). Thorough understanding of molecular alterations facilitates the development of current therapeutic targeted therapy, and opens the way to novel therapeutic approaches. The present review also highlight molecular elements that are currently targeted in GBM clinical trials and others that represent promising potential new targets.
2. Targeting intrinsic survival pathways
Receptor tyrosine kinases (RTKs)
RTKs are transmembrane proteins that consist of an extracellular ligand-binding domain, a single transmembrane helix, and an intracellular catalytic domain (6). RTK superfamily includes epidermal growth factor receptor (EGFR), platelet-derived growth factors (PDGPR), hepatocyte growth factor receptor (c-MET), and fibroblast growth factor receptor (FGFR) (7). Under normal physiological conditions, RTKs are involved in maintaining cellular homeostasis by regulating cell-cell communication, cell survival, migration, proliferation, differentiation, metabolism, and cell cycle. Hence, dysregulation of the RTK pathway is thought to play an important role in GBM initiation, development, and progression (8,9).
EGFR
Genomic analysis revealed that 57% of GBM cells harbor EGFR genetic alterations (10). EGFR amplification and overexpression were identified in 40 and 60% of primary glioblastoma respectively. Other types of genetic alterations were also detected; these include EGFR rearrangement, point mutations, and deletions such as the deletion of exons 2–7 which leads to the truncated mutant variant III (EGFRvIII) (11). EGFR amplification and overexpression lead to constitutive activation of the receptor and enhance GBM cell proliferation, survival, invasion and resistance to treatments (12–15). Talasila et al (16) demonstrated that cells from patients with GBM and with EGFR gene amplification are able to invade the tumor microenvironment (TME) in an angiogenesis independent manner. Additionally, EGFRvIII mutations lacking an extra cellular domain, tend to maintain the EGFR signaling pathway constitutively active in a ligand independent manner. These mutations are detected in 25% of GBM cases and promote survival, tumor growth, migration, invasion and angiogenesis (17–21). Despite the lack of an extracellular domain, EGFRvIII mutation maintains the EGFR signaling It is important to note that 50–60% of GBMs overexpressing wild-type EGFR also express EGFRvIII (22,23). GFRvIII is therefore a potential therapeutic target for GBM.
EGFR is targeted in 77 clinical trials according to clinicaltrials.gov (August 10, 2022). The most common strategy for EGFR targeting is through the use of monoclonal antibodies (Table I). Several anti-EGFR antibodies have been developed since the first chimeric antibody Cetuximab. While Cetuximab and Panitumumab did not show promising results (24), Nimotuzumab and Depatuxizumab-mafodotin (ABT-414), an antibody-drug conjugate, showed survival benefits when combined with radiotherapy and chemotherapeutic Temozolomide (TMZ), respectively (25,26). EGFRs are also targeted by inhibitors of tyrosine kinase activity. Several inhibitors have been evaluated in clinical trials with minimal or no benefits such as Erlotinib, Gefitinib and Dacomitinib. However, using Afatinib, an irreversible pan-inhibitor of the ErbB family resulted in an increase in the progression-free survival (PFS) in patients with overexpressing EGFR or expressing EGFRvIII (27). Notably, EGFR could also be inhibited by anti-tumor vaccines such as ACTIVATe (Phase II NCT00643097), a vaccine against tumor-specific EGFRvIII. ACTIVATe reportedly induces immune responses and an elimination of EGFRvIII-expressing tumor cells (28).
Table I.
Therapeutic agent | Specificity | Therapeutic strategy | Cancer condition | Phase | Status | (Refs.) |
---|---|---|---|---|---|---|
Cetuximab | EGFR | Monotherapy | Newly diagnosed glioblastoma | Phase I/II NCT02861898 | Recruiting | |
In combination with Bevacizumab | Recurrent glioblastoma multiforme | Phase II NCT02800486 | Recruiting | |||
In combination with Irinotecan and Bevacizumab | Recurrent glioblastomas | Phase II NCT00463073 | Completed | |||
Depatuxizumab-mafodotin (ABT-414) | EGFR or mutant EGFRvIII | ABT-414 to concomitant radiotherapy and TMZ followed by combination of ABT-414 with adjuvant TMZ | Newly diagnosed Glioblastoma with EGFR Amplification | Phase II/III NCT02573324 | Completed | |
ABT-414 alone or ABT-414 plus | Glioblastoma | Phase II NCT02343406 | Completed | (337) | ||
TMZ vs. Lomustine or TMZ | ||||||
Erlotinib (Tarceva) | EGFR | Monotherapy | Glioblastoma | Phase II NCT00337883 | Completed | |
In combination with Bevacizumab | Glioblastoma | Phase II NCT00671970 | Completed | (338) | ||
Monotherapy | Recurrent glioblastoma multiforme and anaplastic astrocytoma | Phase I/II NCT00301418 | Completed | (339) | ||
Monotherapy | Recurrent malignant glioma or recurrent or progressive meningioma | Phase I/II NCT00045110 | Completed | (340) | ||
In combination with radiotherapy | Newly diagnosed gliomas | Phase I/II NCT00124657 | Completed | (341) | ||
In combination with TMZ during and following radiotherapy | Malignant glioma (glioblastoma or gliosarcoma) | Phase II NCT00187486 | Completed | (342) | ||
Monotherapy | Recurrent or progressive glioblastoma multiforme | Phase II NCT00054496 | Unknown | |||
Gefitinib (Iressa/ZD1839) | EGFR | Monotherapy | Recurrent glioblastoma | Phase II NCT00250887 | Completed | (343) |
In combination with radiotherapy | Glioblastoma multiforme | Phase I/II NCT00052208 | Completed | |||
In combination with radiotherapy | Newly diagnosed gliomas | Phase I/II NCT00042991 | Completed | |||
GC1118 | EGFR | GC1118 with standard concurrent chemoradiation | Recurrent glioblastoma with high EGFR amplification | Phase II NCT03618667 | Unknown | |
Sym004 | EGFR | Monotherapy | Recurrent malignant glioma (glioblastoma or gliosarcoma) | Phase II NCT02540161 | Completed | |
Olaratumab (IMC-3G3) | PDGFRα | Compared to Ramucirumab (anti-VEGFR2) | Recurrent glioblastoma multiforme | Phase II NCT00895180 | Completed | |
MEDI-575 | PDGFRα | Monotherapy | Recurrent glioblastoma multiforme | Phase II NCT01268566 | Completed | |
APL-101 | c-MET | Monotherapy | Advanced solid tumors including glioblastoma multiforme | Phase I/II NCT03175224 | Recruiting | |
Onartuzumab (MetMAb) | c-MET | In combination with Bevacizumab compared with Bevacizumab alone or Onartuzumab monotherapy | Recurrent glioblastoma | Phase II NCT01632228 | Completed | |
Infigratinib (BGJ398) | FGFR1, FGFR2, and FGFR3 | Monotherapy | Recurrent glioblastoma multiforme | Phase II NCT01975701 | Completed | |
Dacomitinib (PF-299804/Vizimpro) | EGFR/HER1, HER2, and HER4 | Monotherapy | Recurrent Glioblastoma With EGFR Amplification or Presence of EGFRvIII Mutation | Phase II NCT01520870 | Completed | |
Monotherapy | Recurrent glioblastoma | Phase II NCT01112527 | Completed | |||
Afatinib (BIBW 2992) | ErbB family | With or without daily TMZ | Recurrent malignant glioma | Phase II NCT00727506 | Completed | |
AEE788 | ErbB & VEGFR family | Monotherapy | Glioblastoma Multiforme | Phase I/II NCT00116376 | Completed | |
Tesevatinib | EGF, HER2, and VEGF | Monotherapy | Recurrent glioblastoma | Phase II NCT02844439 | Completed | |
Anlotinib | VEGFR, FGFR, PDGFR, Kit | Monotherapy | Recurrent glioblastoma | Phase I/II NCT04004975 | Unknown | (344) |
In combination with dose-dense TMZ | First recurrent or progressive glioblastoma | Phase II NCT04547855 | Recruiting | |||
Sorafenib | VEGFR, FLT-3, PDGFR-β, Kit | Radiotherapy and TMZ followed by TMZ plus Sorafenib | Glioblastoma Multiforme | Phase II NCT00544817 | Completed | (345) |
A combination of Sorafenib tosylate, Valproic acid and Sildenafil | Recurrent high-grade glioma | Phase II NCT01817751 | Active, not recruiting | (303) | ||
Dasatinib | c-KIT, EPHA2, and PDGFR-β | Monotherapy | Recurrent glioblastoma multiforme or gliosarcoma | Phase II NCT00423735 | Completed | (304) |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. c-MET, hepatocyte growth factor receptor; EGFR, epidermal growth factor receptor; EPHA2, Ephrin type-A receptor 2; ErbB, epidermal growth factor receptor; FGFR, fibroblast growth factor receptor; FLT-3, fms-like tyrosine kinase 3; HER, human epidermal growth factor receptor; PDGFR, platelet-derived growth factors; RTK, receptor tyrosine kinase; TMZ, Temozolomide; VEGFR, vascular endothelial growth factor receptor.
PDGFR
The receptor tyrosine kinase PDGFR is the second therapeutic target in GBM proneural subtype. PDGFR gene amplification is found in 15% of GBM cases (10). Overexpression of PDGFR and its ligands (PDGF-AA/-AB/-BB/-CC/-DD) is observed in gliomas of all grades and associated with poor prognosis (10,29). Once activated, PDGFR triggers intracellular signaling cascades that regulate cancer cell survival, growth and progression (30,31). Therefore, dysregulation of PDGF signaling stimulates malignant transformation of normal neural stem cells into glioblastoma and enhances GBM cell growth and motility through autocrine signaling (32–34).
In clinical trials, PDGFR is either targeted by multikinase inhibitors or specific anti-PDGFR antibodies (Table I). To date, multikinase inhibitors such as Sunitinib, Imatinib and Dasatinib have not shown promising clinical benefits (24). In addition, two Phase II clinical trials assessed the tolerance and efficacy of Ramucirumab (IMC-3G3) and MEDI-575 anti-PDGFR antibodies (NCT00895180 and NCT01268566 respectively) in patients with recurrent glioblastoma multiforme. However, these monotherapies did not show improved survival.
cMET
MET is a transmembrane receptor with a tyrosine kinase activity. Different types of MET genetic alterations are detected in GBM cells. MET gene amplification and overexpression are detected in 5–13% of GBM cases (35), and MET fusion genes are found in pediatric GBM (36). Overexpression of MET and its ligand HGF promotes tumor growth, migration, invasion and drug resistance (37–40). Increased activation of MET/HGF pathway is strongly and selectively associated with highly anaplastic GBM cells. The c-MET pathway is either targeted directly by c-MET antibodies or inhibitors or through antibodies targeting its ligand, HGF (Table I). Treatment with MET inhibitors can potentially be viable from the standpoint of drug selectivity, thus avoiding toxicity to normal cells (41). However, and in order to avoid drug resistance, combination of both PI3K inhibitors along with MET inhibitors can be favorably considered in the upcoming trials to efficiently target patients with GBMs (42). On the other hand, one promising result for c-MET antibodies was shown by a randomized, double-blind, placebo-controlled, multicenter Phase II study (NCT01632228) assessing Onartuzumab (MetMAb, an anti-cMET antibody) with or without Bevacizumab. Survival benefits were reported in patients with high HGF expression (43).
FGFR
Genomic alterations in FGFR are rarely detected in GBM (44); however, the constitutive activation of its downstream pathways stimulate tumor progression, proliferation and resistance to apoptosis (44,45). Infigratinib (BGJ 398) selectively binds to and inhibits FGFRs and was used as a monotherapy in Phase II NCT01975701 clinical trial in patients with recurrent glioblastoma or other glioma subtypes. However, Infigratinib was not licensed and the indication was abandoned (Table I).
Ras/Raf/MEK/ERK pathway
Ras/Raf/MEK/Erk (also known as the Ras/MAPK pathway) is a chain of effectors downstream of RTKs that regulate cell survival and proliferation (46). Alterations in various components of this pathway are detected in GBM.
B-Raf proto-oncogene (BRAF)
BRAF is a serine/threonine kinase that belongs to the RAF family. Multiple BRAF gene alterations are associated with GBM; however, the BRAF V600E mutation is the most relevant. This missense mutation leads to constitutive activation of Ras/Raf/MEK/Erk pathway, promoting tumor cell proliferation, survival and inhibit apoptosis (47).
NF1
The NF1 gene encodes neurofibromin, a GTPase activating protein that controls cell growth and survival. It regulates the conversion of active GTP-bound Ras to its inactive GDP-bound form, thus inhibiting Ras/Raf/MEK/Erk signaling pathway (48). NF1 mutation or deletion is found in 10% of glioblastoma cases, especially in the mesenchymal GBM subtype (10). Despite the fact that genomic alterations of this tumor suppressor gene enhance the epithelial-mesenchymal transition in neurofibromatosis and can induce malignant transformation (49), its role in glioblastoma is not fully understood.
In glioblastoma, MEK inhibitors are common drugs used to target Ras/Raf/MEK/Erk signaling pathway (Table II). For instance, Atorvastatin, a Ras/MAPK inhibitor, showed encouraging results when evaluated in combination with radiotherapy and TMZ in patients with GBMs (Phase II NCT02029573) (50). Additionally, BRAF inhibitors such as Dabrafenib and Encorafenib are evaluated in clinical trials in combination with MEK inhibitors trametinib (Phase II NCT03919071) and Binimetinib, respectively (Phase II NCT03973918).
Table II.
Therapeutic agents | Therapeutic target | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
---|---|---|---|---|---|---|
ABM-1310 and Cobimetinib | BRAF V600E (ABM-1310) and MEK1/2 (Cobimetinib) | ABM-1310 monotherapy or in combination with Cobimetinib | Advanced solid tumors | Phase I NCT04190628 | Recruiting | |
Dabrafenib and Trametinib | BRAF (Dabrafenib) and MEK1/2 (Trametinib) | Dabrafenib in combination with Trametinib | BRAF V600 mutation positive low grade glioma or relapsed or refractory high grade glioma. | Phase II NCT02684058 | Active, not recruiting | (346) |
Dabrafenib Combined with Trametinib after radiotherapy Newly-diagnosed high-grade glioma | Phase II (NCT03919071 | Recruiting | (346) | |||
Encorafenib and Binimetinib | BRAF (Encorafenib) and MEK1/2 (Binimetinib) | Combination treatment with Encorafenib and Binimetinib | Recurrent BRAF V600-Mutated high grade glioma | Phase II NCT03973918 | Active, not recruiting | |
Atorvastatin | Ras/MAPK | In combination with Radiotherapy and TMZ | Glioblastoma | Phase II NCT02029573 | Completed | (50) |
Ulixertinib (BVD-523) | ERK1/2 | Monotherapy | Advanced solid tumors | NCT04566393 | Available | |
LY2228820 | p38 MAPK | With radiotherapy plus concomitant TMZ | Newly diagnosed glioblastoma | Phase I/II NCT02364206 | Completed | |
RSC-1255 | Ras | Monotherapy | Advanced malignancies including glioblastoma | Phase I NCT04678648 | Recruiting |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. BRAF, B-Raf proto-oncogene; ERK, extracellular signal-regulated kinase; MAPK, mitogen activated protein kinase; MEK, mitogen-activated protein kinase kinase; TMZ, Temozolomide.
PI3K/AKT/mTOR pathway
Phosphatidylinositol-3-kinase (PI3K) is a family of lipid kinases that regulates cell survival, growth, motility and metabolism (51). It consists of three subclasses depending on their structure and substrate specificities (51). Activated PI3Ks phosphorylate the lipid phosphatidylinositol (4,5)-bisphosphate (PIP2) to generate phosphatidylinositol (3,4,5)-trisphosphate (PIP3) (51). PI3K signaling pathway dysregulation is predominant in glioblastoma and is mainly caused by gain-of-function mutations in PIK3CA gene, PIK3R1 gene and loss of PTEN gene.
PTEN
PTEN mediates the conversion of PIP3 to PIP2 which regulates cell proliferation, apoptosis, metabolism, motility and angiogenesis (52). PTEN deletion or mutation, found in 5–40% of GBM (53), inhibit AKT (protein kinase B) phosphorylation and induce the hyperactivation of PI3K signaling pathway, which in turn accelerates tumor growth, progression, and metastasis (54).
PI3K
Heterodimeric Class IA PI3Ks consist of a catalytic subunit (p110α, p110β, or p110) and a p85-type regulatory subunit (55). PIK3CA and PIK3R genes encode for p110α and p85α respectively (55,56). Several studies show that mutations in PIK3R1, identified in 8–10% of GBM cases, are found to be mutually exclusive with mutations in PIK3CA in primary GBM cases (57,58). Constitutively active PIK3CA and PIK3R1 upregulate the PI3K/AKT signaling pathway and promote tumorigenesis (59,60). Somatic mutations in PIK3CA occurs in 6–17% of GBM (57,58,61) and PIK3CA activating mutations are correlated with poor prognosis, aggressive and more disseminated phenotype and with shorter survival rate (62). Alterations in PIK3CD (p110δ) and PIK3CB (p110β) are also detected in GBM (56).
The PI3K pathway is generally targeted by several PI3K pan-inhibitors in clinical trials (Table III). One example is Pictilisib, a PI3K isoform inhibitor shown to sensitize tumors to radio- and chemotherapy. Effectiveness of Pictilisib is being compared with immunotherapeutic Pembrolizumab (MK-3475) in Phase II clinical trial in patients with glioblastoma (NCT02430363). Paxalisib (GDC-0084) is another small molecule inhibitor of PI3K currently evaluated as an adjuvant therapy after surgical resection and concomitant chemoradiation therapy with TMZ in patients with GBM and unmethylated MGMT promoter status (Phase II NCT03522298). Preliminary results show enhanced overall survival (OS; 17.7 months for treated group compared with 12.7 months for patients treated with TMZ) (24). The PI3K/AKT/mammalian target of rapamycin (mTOR) pathway is also targeted by mTOR inhibitors. While several mTOR inhibitors do not show clinical benefits, AZD2014 is proposed as a promising drug for radiosensitizing glioblastoma stem cells (GSCs) in vitro and in vivo, and is currently being evaluated in clinical trials (Phase I NCT02619864). Moreover, another clinical trial is evaluating the efficiency of ABI-009 (Nab-Rapamycin), a novel albumin-bound mTOR inhibitor, in recurrent and newly diagnosed glioblastoma (Phase II NCT03463265).
Table III.
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status |
---|---|---|---|---|
Paxalisib (GDC-0084) | Adjuvant therapy following surgical resection and initial chemoradiation with TMZ | Newly-diagnosed glioblastoma with unmethylated MGMT promoter status | Phase II NCT03522298 | Active not recruiting |
With metformin while maintaining a ketogenic diet | Glioblastoma | Phase II NCT05183204 | Not yet recruiting | |
Multiple drugs and drug combinations (TMZ, Lomustine, Regorafenib, Radiation, Paxalisib, VAL-083, VT1021, Troriluzole) | Newly diagnosed and recurrent glioblastoma | Phase II/III NCT03970447 | Recruiting | |
Pictilisib | Compared with Pembrolizumab (MK-3475/anti-PD-1 monoclonal antibody) | Glioblastoma | Phase I/II NCT02430363 | Unknown |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. MGMT, O6-methylguanine DNA methyltransferase; PD-1, programmed cell death protein 1; PI3K, phosphatidylinositol-3-kinase; TMZ, Temozolomide.
3. Targeting cell cycle and apoptosis pathways
p53/mouse double minute 2 homolog (MDM2)/ARF and p16/cyclinD-CDK4/6/Rb signaling pathways regulate cell cycle and cell proliferation. According to the Cancer Genome Atlas Research Network, 87 and 77% of the analyzed GBM samples harbor a mutation in p53 and Rb signaling pathway respectively (57).
p53/MDM2/ARF pathway
The p53/MDM2/ARF pathway is one of the major core pathways deregulated in 84% of patients with GBMs. p53, the key protein of this pathway and also known as ‘guardian of the genome’, protects cells from external or internal stress signals by regulating cell processes such as cell cycle, DNA repair, angiogenesis, metabolism, cell death (apoptosis and autophagy) and senescence (63).
p53 genetic alterations were detected in 30% of primary GBM and 65% of secondary GBM (64). Mainly two different types of genomic alteration are detected in GBM cells; point mutation associated with overexpression of the mutant version of p53 and deletion that provokes the loss of function of p53. These alterations result in either gain or loss of p53 function (65). The oncogenic potential of p53 is mediated by the accumulation of p53 mutants in cells. Indeed, mutations in the MDM2 binding domain of p53 affect its regulation by MDM2, leading to the accumulation of p53 inside the cell and the subsequent gain of function phenotype. This enhances tumorigeneses in GBM by promoting inflammation, genomic instability, tumor growth, invasion, metastasis and neo-angiogenesis (66,67). Pedrote et al (68) revealed that accumulation of amyloid-like p53 with p53 gain of function phenotype leads to increased chemo-resistant GBM cells. Thus, p53 gain of function mutations are associated with great oncogenic potential and aggressive GBM phenotype.
Loss of p53 tumor suppression function is not only mediated by p53 mutations. Previous studies demonstrated that different components in the p53/MDM2/ARF pathway, such as MDM2/MDM4 protein, negatively regulate the activity of p53 (69–72). Under normal physiological conditions, MDM2 protein, which is an E3 ubiquitin ligase, binds p53 transcriptional domain and controls its activity by preventing its transcriptional function and promoting its degradation. However, the activity of p53 is positively regulated by the alternative reading frame tumor suppressor (ARF), an upstream molecule that suppresses the MDM2 activity (73). p53 mutations or deletions, MDM2 amplification or overexpression and ARF homozygous deletion inactivate p53 and trigger the p53 loss of function phenotype in glioblastoma, thus contributing to tumor growth, progression and therapy resistance (65,74).
RG7388 (Idasanutlin) is a small molecule antagonist of MDM2 used to target p53/MDM2 pathway. Recent Phase I/II trials are recruiting to test for molecularly matched targeted therapies (APG101, Alectinib, Idasanutlin, Atezolizumab, Vismodegib, Temsirolimus and Palbociclib) in combination with radiotherapy in patients with newly diagnosed glioblastoma without MGMT promoter methylation (NCT03158389). A more recent Phase I clinical trial is studying the uptake and tolerance of BI 907828 (an MDM2 inhibitor) in combination with radiotherapy in newly diagnosed glioblastoma patients (NCT05376800). Markedly, several different strategies are currently employed for targeting p53 using gene therapy in different cancer types. In GBM, only one clinical trial reported using SGT-53, a human wild type p53 DNA sequence encapsulated in nanodelivery liposome. However, this study was terminated due to the very small number of participants (Phase II NCT02340156).
Epigenetic modifications
In addition to genetic alterations, epigenetic modulators affect expression by interacting with drivers of GBM cell proliferation, without causing any changes in the DNA sequence (75). In GBM, DNA methylation is strongly correlated with responses to TMZ treatment that methylates adenine in position N3 and guanine in position O6 and N7 (76). Guanine methylation at O6 position leads to strand breaks, activating p53-mediated apoptosis through Fas/CD95/Apo-1 receptor or by the mitochondrial pathway (77). To decrease the effects of O6-methylguanine DNA methyltransferase (MGMT) methylation, synthetic inhibitors of MGMT entered human trials (78). Nevertheless, several studies revealed that inhibitors such as O6-benzylguanine and PaTrim-2 (Lomeguatrib) did not show survival improvement in response to TMZ (79–81).
Histone demethylases (KDM)4C is often overexpressed in GBM and is associated with epigenetic regulation of both tumor suppressor genes and oncogenes (82). Lee et al (82) showed that KDM4C binds to the promoter of c-Myc oncogene inducing its expression/activation and suppressing the functions of p53 by demethylating p53K372me1, thus inducing apoptosis. KDM4C knockdown significantly suppresses both the proliferation and tumorigenesis of glioblastoma cells in vitro and in vivo, thus suggesting KDM4C inhibition as a promising tool in targeting glioblastoma.
Histone deacetylases (HDAC) also serve an important role in regulating cell growth and survival of cancer cells (83). Inhibition of HDACs leads to cell cycle arrest as well as apoptosis, and, in GBM, causes the rebalance of histones acetylation (84,85). In clinical trials, testing Romidepsin (FR901228, an HDAC inhibitor) exhibited failure in treating patients with GBMs (NCT00085540) (24). Other HDAC inhibitors, such as Vorinostat. did not show improvement in the median OS or PFS both alone or in combination with Bortezomib (NCT00641706) or Bevacuzimab (NCT01738646) (24).
p16/CyclinD-CDK4/6/Rb pathway
The p16/cyclinD-CDK4/6/Rb signaling pathway regulates cell cycle progression and is also disrupted in GBM cells (10). The cyclin D-CDK4/6-Rb axis, which is a crucial cell cycle checkpoint, controls cell transition from G1 to S phase (86). Indeed, cyclin D forms a complex with CDK 4/6 inducing the phosphorylation of Rb and inhibiting Rb-E2F formation (87). Released E2F mediates transcription of genes that facilitate the transition into S phase and consequently cell cycle progression (88). Under carcinogenic conditions, p16 protein inhibits cyclin D-CDK 4/6 complex formation (74). Thus, Rb associates with E2F and triggers cell cycle arrest. It has been demonstrated that genetic alterations such as deletion in CDKN2A/B, amplification of CDK4/6 and mutations of Rb and p16 genes are detected in 79% of patients with GBM (10). Consequently, cells harboring such alterations undergo uncontrolled cell proliferation and tumor growth. Collectively, targeting cell cycle and apoptosis pathways could emerge as promising tool for treating GBM. There are three CDK4/6 inhibitors evaluated in clinical trials for GBM treatment in clinical trials (Table IV). Ribociclib and Abemaciclib are being evaluated in current studies, whereas PD 0332991 (Palbociclib) monotherapy was not effective in treating patients with recurrent glioblastoma (89).
Table IV.
A, CDK4/6 inhibitors | |||||
---|---|---|---|---|---|
| |||||
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
Abemaciclib (LY2835219) | In combination with TMZ and Irinotecan vs. Abemaciclib in combination with TMZ | Solid tumors | Phase I NCT04238819 | Recruiting | |
In combination with Bevacizumab | Recurrent glioblastoma patients with loss of CDKN2A/B or gain or amplification of CDK4/6 | Early Phase I NCT04074785 | Active, not recruiting | ||
With or without surgery | Recurrent glioblastoma | Phase II NCT02981940 | Recruiting | ||
In combination with LY3214996 (ERK Inhibitor) | Recurrent glioblastoma | Early Phase I NCT04391595 | Recruiting | ||
Ribociclib (LEE011) | Before surgical tumor resection | Preoperative glioma and meningioma | Early Phase I NCT02933736 | Recruiting | |
In combination with Everolimus | Preoperative recurrent high-grade glioma | Early Phase I NCT03834740 | Active, not recruiting | ||
Ribociclib and Everolimus following Radiotherapy | High grade gliomas | Phase I NCT03355794 | Active, not recruiting | ||
Monotherapy | Recurrent glioblastoma or anaplastic glioma | Phase I NCT02345824 | Unknown | ||
| |||||
B, Proteasome inhibitors | |||||
| |||||
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
| |||||
Bortezomib | In combination with TMZ | Glioblastoma | Phase I/II NCT03643549 | Recruiting | (347) |
In combination with TMZ | Brain tumors or other solid tumor that have not responded to treatment | Phase I NCT00544284 | Completed | ||
In combination with bevacizumab and escalating doses of TMZ | Recurrent glioblastoma multiforme | Phase I NCT01435395 | Completed | ||
In combination with TMZ and radiotherapy | Newly diagnosed glioblastoma multiforme or gliosarcoma | Phase II NCT00998010 | Completed | ||
In combination with Bevacizumab | Recurrent Malignant Glioma | Phase II NCT00611325 | Completed | ||
Marizomib | In combination with TMZ and radiotherapy | Newly diagnosed glioblastoma | Phase III NCT03345095 | Active, not recruiting | |
In combination with Bevacizumab | Malignant glioma and glioblastoma | Phase I/II NCT02330562 | Completed | (348) | |
In combination with TMZ and radiotherapy | Malignant glioma and glioblastoma | Phase I NCT02903069 | Completed | (348) | |
Ixazomib (MLN9708) | Monotherapy | Glioblastoma | Early Phase I NCT02630030 | Completed | (95) |
Disulfiram (DSF) | After radiotherapy with TMZ | Glioblastoma multiforme | Early Phase I NCT01907165 | Completed | |
DSF-Copper in combination with TMZ | Recurrent glioblastoma | Phase II NCT03034135 | Completed | (97) | |
DSF-Copper with concurrent radiotherapy and TMZ | Glioblastoma multiforme | Phase I/II NCT02715609 | Active, not recruiting | ||
| |||||
C, PARP inhibitors | |||||
| |||||
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
| |||||
Iniparib (BSI-201) | In combination with TMZ | Newly diagnosed malignant glioma | Phase I/II NCT00687765 | Completed | |
Olaparib | Cediranib maleate and Olaparib work compared with bevacizumab | Recurrent glioblastoma | Phase II NCT02974621 | Active, not recruiting | |
In combination with TMZ | Relapsed glioblastoma | Phase I NCT01390571 | Completed | (101) | |
In combination with radiotherapy compared with Pamiparib with radiotherapy | Newly diagnosed and recurrent glioblastoma | Early Phase I NCT04614909 | Recruiting | ||
Monotherapy | Advanced glioma, cholangiocarcinoma, or solid tumors with IDH1 or IDH2 mutations | Phase II NCT03212274 | Recruiting | ||
Combination therapy of Pembrolizumab, Olaparib and TMZ | Glioblastoma and recurrent glioblastoma | Phase II NCT05463848 | Not yet recruiting | ||
Afatinib, Dasatinib, Palbociclib, Everolimus or Olaparib based on patient's genetic profile | Glioblastoma and recurrent glioblastoma | Early Phase I NCT05432518 | Not yet recruiting | ||
Veliparib | In combination with TMZ | Young patients with recurrent or refractory CNS tumors | Phase I NCT00946335 | Completed | |
In combination with TMZ and radiotherapy | Younger patients with newly diagnosed diffuse pontine gliomas | Phase I/II NCT01514201 | Completed | (103) | |
In combination with TMZ | Recurrent glioblastoma | Phase I/II NCT01026493 | Completed | (102) | |
In combination with TMZ and radiotherapy | Newly diagnosed glioblastoma multiforme | Phase I NCT00770471 | Completed | ||
In combination with TMZ and radiotherapy | Newly diagnosed malignant glioma without H3 K27M or BRAFV600 mutations | Phase II NCT03581292 | Active, not recruiting | ||
TMZ with or without Veliparib | Newly diagnosed glioblastoma multiforme | Phase II/III NCT02152982 | Active, not recruiting | (349) | |
Pamiparib | In combination with TMZ and radiotherapy | Newly diagnosed or recurrent glioblastoma | Phase I/II NCT03150862 | Completed | (350) |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. CDK, cyclin-dependent kinase; CNS, central nervous system; DSF, Disulfiram; ERK, extracellular signal-regulated kinase; IDH, Isocitrate dehydrogenase; PARP, poly(ADP-ribose) polymerase; TMZ, Temozolomide.
Proteasomes
Proteasomes are protein complexes that are central for degradation of unneeded or damaged proteins (90). They regulate cell cycle and homeostasis in normal and cancer cells by regulating p53 and endoplasmic reticulum stress. Proteasomes can thus influence drug resistance in tumor cells (91). Due to the complexity of GBM physiology, there is a need for therapeutic options that could target broad systems contributing to the tumorgenicity in GBM. Proteasome inhibition is thus identified as a promising strategy for GBM treatments. Currently, four proteasome inhibitors are tested in clinical trials to target proteasomes in GBM: Bortezomib, Ixazomib, Marizomib and Disulfiram (Table IV). Bortezomib is the first-generation proteasome inhibitor and showed promising results when studied in combination with TMZ and radiotherapy (NCT00998010) (92). Marizomib is a second-generation proteasome inhibitor that has the ability to cross the BBB (93). It is currently being evaluated in ongoing clinical trials combined with Bevacizumab, TMZ, or ABI-009 (Nab-rapamycin, nanoparticle albumin-bound rapamycin). Encouraging observations are reported in Phase III study (NCT03345095) for Marizomib administered in combination with radiotherapy and TMZ to treat patients with newly diagnosed glioblastoma (94). Ixazomib, on the other hand, was evaluated in early Phase I clinical trial (NCT02630030) for its ability to reach brain tumors due to its distinctive permeability to tumor tissues (95). Disulfiram is another interesting proteasome inhibitor that has an improved BBB penetration to employ its anti-tumor action (96). Disulfiram was well tolerated in Phase II clinical trial in combination with TMZ but showed limited activity for unselected population (97).
Poly(ADP-ribose) polymerase (PARP)
Elements of DNA damage repair mechanisms are considered promising radio-sensitizing agents for cancer therapy (98). PARP is an important protein in DNA repair pathways and high PARP-1 mRNA expression is associated with poor survival in classic GBMs (99). A few PARP-1 inhibitors have been evaluated in clinical studies (Table IV). For instance, a Phase I/II clinical trial (NCT00687765) recently completed a study to evaluate the safety and efficiency of Iniparib (BSI-201), a PARP1 inhibitor (results as yet unpublished). Olaparib is another inhibitor of PARP that shows an effective radio-sensitizing result in GBM cell lines and preclinical glioma models (98,100). A Phase I trial OPARATIC (NCT01390571) reported that Olaparib penetrates core and margin regions of GBM at radio-sensitizing concentrations. It was also reported to be safe when used with continuous low-dose of TMZ (101). PARP inhibitor Veliparib was also evaluated in several clinical trials. However, results showed that Veliparib did not show improved clinical survival when combined with TMZ (Phase I/II NCT01026493) (102), nor when added to radiation followed by TMZ (Phase I/II NCT01514201) (103).
4. Targeting metabolism
Isocitrate dehydrogenase (IDH)
WHO classifies GBM depending on IDH mutational status (104). The IDH enzyme plays a pivotal role in major cellular metabolic processes. It is involved in the Krebs cycle, lipid and glutamine metabolism and oxidative stress regulation. During the Krebs cycle, IDH catalyzes the oxidative decarboxylation of isocitrate to α-ketoglutarate [α-KG, also known as 2-oxyglutarate (2OG)] and reduces the cofactor NADP+ into NADPH which is essential to decrease the level of reactive oxygen species (ROS) (105–107).
Three different isoforms of IDH exist in human cells: IDH1, detected in the cytoplasm and in peroxisomes, whereas IDH2 and IDH3 are both present in mitochondria (108). IDH mutations were found in 6% of primary GBM and in 54% of secondary GBM (109). Missense mutations, caused by the substitution of arginine residue in codons 132 and 172 in the enzymatic site of the IDH1 and IDH2, are frequently detected in glioblastoma cells (58,110,111). IDH mutants catalyze the production of 2-hydroxyglutaric acid (2-HG) from isocitrate. 2-HG affects cellular metabolism, enhances the oxidation of NADPH in NADP+ which, in turn, disrupts cellular homeostasis and increases the level of ROS (112). It has been suggested that the accumulation of this oncometabolite inhibits the activity of α-KG dependent dehydrogenase, a family of enzymes involved in methylation of histones and DNA, which includes KDMs and 10–11 translocation (TET, a family of DNA hydroxylases that leads to a hypermethylation state and genetic instability) (113). Moreover, modification of the epigenetic profile is associated with the inhibition of glioma stem cell differentiation (114). Furthermore, overexpression of hypoxia-inducible factor 1-α (HIF-1α), VEGF and platelet-derived growth factor subunit A (PDGF-A) are detected in GBM cells holding IDH mutation (115–117). Hence, these alterations induced by the high levels 2-HG are associated with an aggressive and invasive carcinogenic phenotype.
Patients with GBMs and IDH mutations are often treated with inhibitors such as Olaparib targeting PARP (Phase II NCT03212274). More clinical trials are investigating other PARP inhibitors such as Nivolumab (Phase II NCT03718767, recruiting), Talazoparib (Phase II NCT04740190, recruiting) and BGB-290 (Phase II NCT03914742, active, not recruiting/Phase I NCT03749187) to treat patients with advanced gliomas including glioblastoma. Notably, a recently completed study investigated the safety and clinical activity of Enasidenib (AG-221), a small molecule inhibitor of IDH2 in patients with advanced solid tumors, including glioma (Phase I/II NCT02273739). Patients with similar cancer types were treated in a recently completed study (Phase I/II NCT03684811) with Olutasidenib (FT-2102), another agent that specifically inhibits mutant IDH1 at arginine R132. Currently, a number of other clinical trials are evaluating IDH inhibitors, therefore, more time and research are needed to conclude about their efficiency to treat gliomas (Table V).
Table V.
A, IDH | |||||
---|---|---|---|---|---|
| |||||
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
Enasidenib (AG-221), Inhibitor of mutant IDH2 | Monotherapy | Solid tumor, glioma, angioimmunoblastic T-cell lymphoma, intrahepatic cholangiocarcinoma, chondrosarcoma | Phase I/II NCT02273739 | Completed | |
Olutasidenib (FT-2102), Inhibitor of R132 mutant IDH1 | In combination with other anti-cancer drugs (Azacitidine, Nivolumab, Gemcitabine and Cisplatin) | Advanced solid tumors and gliomas (glioblastomas) | Phase I/II NCT03684811 | Completed | |
AG-120, Inhibitor of R132 mutant IDH1 | Monotherapy | Advanced solid tumors and gliomas | Phase I/II NCT02073994 | Active, not recruiting | (351) |
IDH305, Inhibitor of | Monotherapy | Advanced | |||
mutant IDH1 | malignancies with IDH1 R132 mutations | Phase I NCT02381886 | Active, not recruiting | (352) | |
LY3410738, Inhibitor of R132 mutant IDH1, and R140 or R172 mutant IDH2 | Monotherapy or in combination with gemcitabine and Cisplatin, or Durvalumab | Advanced solid tumors with IDH1 or IDH2 mutations | Phase I NCT04521686 | Recruiting | |
| |||||
B, Hexokinase | |||||
| |||||
Therapeutic agents | Therapeutic strategy | Cancer condition | Clinical phase | Status | (Refs.) |
| |||||
Posaconazole | Monotherapy | Glioblastoma | Early Phase I NCT04825275 | Recruiting | |
Ketoconazole | Monotherapy | Glioblastoma | Early Phase I NCT04869449 | Recruiting |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. IDH, Isocitrate dehydrogenase.
Glucose metabolism
Normal cells rely on oxidative phosphorylation as the main energy source. However, cancer cells shift to aerobic glycolysis even in the presence of oxygen. This phenomenon, known as Warburg effect, protects cancer cells from apoptosis, stimulates the production of new precursors and increases invasion capacity (118–121). Therefore, targeting glucose transporters, such as glucose transporter (GLUT), and metabolic enzymes, such as Hexokinase 2 and Pyruvate kinase muscle, may provide a novel avenue in glioblastoma treatment.
GLUT
GLUT is a transmembrane protein that belongs to the major facilitator superfamily (122), Currently, 14 different isoforms are identified in human tissues and divided into three classes (123). Class I, which consists of GLUT 1/2/3/4, is mainly expressed in brain cells. In GBM, GLUT-1 and GLUT-3 are the predominantly expressed isoforms and associated with poor survival rates. These transporters, characterized by their high affinity for glucose, promote glycolysis metabolism by increasing glucose uptake to maintain the survival, proliferation and growth of cancer cells. GLUT-3, also known as neural glucose transporter, is highly expressed by brain tumor initiating cells (BTICs) and has higher affinity for glucose compared with GLUT-1 (124).
Overexpression of GLUT-3 enhances chemoresistance and survival of BTICs in glucose deficient microenvironment (124). Recently, Libby et al (125) proposed that overexpression of GLUT-3 is positively correlated with the invasion phenotype of GBM. They found that the C-terminal tail of GLUT-3 reduces invasion (125). Accordingly, the design of drugs targeting GLUT-3 could be improved to inhibit molecular functions outside its role in metabolism as a means to limit potential brain toxicity. This can be achieved by potentially targeting the C-terminal tail or the protein interactions driving GLUT-3 mediated invasion. While glucose transporters provide promising results in research laboratories, they are not yet targeted in clinical trials.
Hexokinase
Hexokinase 2 (HK2), the driver of the aerobic glycolysis, regulates the first step of glucose metabolism by converting glucose to glucose 6-phosphate. In GBM, HK2 promotes tumor progression by enhancing cancer cell growth, lactate production and chemoresistance (126,127). It also binds to the mitochondrial membrane and controls the release of cytochrome c, protecting cancer cells from apoptosis (128). Notably, depletion of HK2 induces the shift to oxidative glucose metabolism, impairs cancer cell proliferation, reduces angiogenesis and sensitizes GBM cells to chemoradiotherapy (129). Microarray analysis reveals that HK2 expression is negligible in normal cells but predominant in GBM (126). Therefore, targeting HK2 or its activity may be a novel therapeutic strategy to selectively kill cancer cells without damaging normal cells. Ketoconazole and Posaconazole are antifungals known to inhibit tumor metabolism. These drugs also selectively target HK2 in glioblastoma cells (129). Two recent recruiting early Phase I clinical trials are studying the delivery and activity of Ketoconazole and Posaconazole in brain tumors (NCT04869449 and NCT04825275, respectively).
Pyruvate kinase muscle (PKM)2
PKM consists of two isoforms PKM1 and PKM2 (130). PKM1 is mainly expressed in muscle and brain cells while PKM2 is highly expressed in embryonic cells, stem cells and cancer cells (131). PKM converts phosphoenolpyruvate to pyruvate during the last irreversible step of glycolysis (132). Mukherjee et al reported an overexpression of PKM2 and an isoform switching between metabolic enzymes PKM1 and PKM2 in GBM (133).
Three different forms of PKM2 exist in mammalian cells: A tetrameric form, known as the metabolic/glycolytic form and is involved in aerobic glycolysis, and less active monomeric and dimeric forms. The latter two forms promote GBM tumor growth (134,135) and protect it from apoptosis (136,137). This is achieved either by diverting the glycolysis pathway to an anabolic pentose phosphate pathway, or by activating the transcription of a number of oncogenes such as c-Myc and cyclin D (138). The ratio of monomeric/dimeric and tetrameric forms of PKM2 decides whether cells will undergo glycolysis or phosphate pathway (139). In addition, a study conducted by Sizemore et al (140) reveals that the ATM-PKM2-CtIP axis enhances DNA double-stand break repair efficiency and resistance to genotoxic damage caused by radiation. Overexpression of PKM2 is hence associated with a radio-resistant phenotype. Therefore, targeting PKM2 might be a promising therapeutic strategy for glioblastoma treatment.
Amino acid metabolism
Amino acid metabolism is another intriguing metabolism route important for GBM cells. Data suggest that GBM cells produce an increased pool of free amino acids associated with poor disease prognosis (141). Research provided evidence that the hypoxic stress in glioma and GBM cells increases protein catabolism (142,143). Under hypoxic conditions, and due to elevated levels of redox stress, hypoxic tumor cells maintain redox homeostasis that is dependent on increased glutathione synthesis. Thus, GBM cells want to maintain high levels of glutathione, consequently favoring conditions that are resistant to chemoradiotherapy (142). Arginine, asparagine, glutamine and lysine are among the relevant amino acids studied, however, the present review will discuss metabolic pathways of both glutamine and arginine that are targeted to therapeutically control cancer cell proliferation and spreading.
Glutamine metabolism
Glutamine is a non-essential amino acid that is highly concentrated in blood (144) and required for the tricarboxylic acid (TCA) cycle and the synthesis of nucleotide bases, amino acids, fatty acids and proteins. Glutamine metabolism regulates oxidative stress by regulating glutathione synthesis (145). Additionally, healthy neural cells in the brain synthesize glutamate, the main activator neurotransmitter, by the uptake of glutamine from astrocytes in the glutamine-glutamate cycle (146). Glutamine in the extracellular space is transported into neural cells through SNAT1 transporter where it is hydrolyzed by the glutaminase enzyme (GA) to form glutamate. Glutamate is then packed in synaptic vesicles and cleared during neurotransmission and transported into astrocytes via glutamate transporters GLT-1 and GLAST. In astrocytes, glutamine synthetase (GS) catalyzes the generation of glutamine from glutamate. The cycle is completed by the release of glutamine from astrocytes into the synaptic cleft by the SN1 transporter (147).
In GBM, glutamine is an important source for the TCA cycle and nucleotide and fatty acid synthesis, thereby sustaining tumor growth and stimulating glutathione synthesis (148). Concentrations of glutamine and its related metabolites are proportional to decreased cell survival (149). Due to developments in noninvasive image collection and analysis, in vivo glutamine measurement is now clinically feasible. Previous research demonstrated that glutamine imaging may have prognostic significance (150). In the line of the role of glutamine in cancer cell growth and promoting chemo-and radiotherapy resistance, targeting glutamine metabolism constitutes an attractive research area for the treatment of brain tumors.
Research strategies to target glutamine metabolism included targeting enzymes involved in their synthesis (GA and GS), or targeting transporters for glutamine/glutamate uptake (147,151–153). Modulating the GA enzyme was performed using the RNA interference approach or the use of allosteric inhibitors. GLS, a gene encoding GA, was targeted in GBM cell lines, patient derived GBM cells and mouse xenografts (147,154). Several research groups report a decreased cancer cell viability by silencing GLS, whereas GLS2 isoform shows an opposite effect as its overexpression reverses the aggressive GBM phenotype (155–157). These data suggest approached for a combinatorial therapeutic approach of both GLS inhibition and GLS2 overexpression thereby enhancing the antitumor effect. On the other hand, GS enzyme is also targeted, and its overexpression resulted in decreased proliferation and migration in rat glioma cell lines (158). Along with similar supporting data, GS is suggested to have an anti-glioma effect.
To date, targeting glutamine uptake by neural cells through silencing SNAT transporters has not shown significant effects on the proliferation of GBM cells (147). Conversely, targeting glutamate transporters such as GLT-1 and GLAST showed more promising results in GBM cell lines and xenografts [reviewed in details in (147)]. Another promising target is system xc- (SXC), a cysteine-glutamate exchanger that is shown to mediate >50% of glutamate transport in GBM cell lines (159). Notably, SXC is targeted and inhibited by an FDA approved sulfasalazine (SAS) for the treatment of bowl disease (159). While SAS resulted in increased cell death of GBM cells in vitro and in xenografts (160), Phase I/II clinical trials were terminated due to incidents of severe side effects (161). Research studies using SAS in gliomas, in combination with radiotherapy, are still in progress (162) and more studies are needed to reveal the effectiveness of the combined treatment.
There are several pharmacological strategies to inhibit glutamine metabolism (147,163). Telaglenastat (CB-839) is a GLS inhibitor currently being evaluated in a Phase I clinical trial (NCT03528642) combined with radiotherapy and TMZ for treatment of IDH-mutant astrocytomas and anaplastic astrocytomas. Collectively, several combinatorial strategies targeting various facets of glutamine cancer metabolism can be applied and this should lead to more research in this field (148).
Arginine metabolism
Arginine is a semi-essential amino acid synthesized from citrulline via urea cycle enzymes, argininosuccinate synthetase-1 (ASS1) and argininosuccinate lyase (ASL) (164). Cancer cells, which are characterized with a high proliferation rate, depend on exogenous arginine in their microenvironment (165). Therefore, reduced expression of urea cycle enzymes ASS1, ASL and OCT makes cancer cells auxotrophic and completely reliant on extracellular arginine sources (166,167). Arginine deprivation has been shown to promote cell death and impairs cell motility and invasion. Hence, arginine deprivation is a promising potential therapy target for selective destruction of tumor cells.
Arginine deprivation serves a role in enhancing endoplasmic reticulum stress and inducing the expression of genes involved in unfolded protein responses, thus resulting in cancer cell death (168). Furthermore, arginine deprivation reduces the extent of β-actin arginylation which disturbs cell cytoskeletal organization, alters cell adhesion and impairs cell migration and invasion (169). HuArgI (Co)-PEG5000 is human arginase I, characterized by the addition of two cobalt ions and polyethylene glycol that results in improved enzymatic catalytic activity, increased stability, decreased immunogenicity and lower dissociation constant at neutral pH (170,171). Promising effects were shown when using HuArgI (Co)-PEG5000 to target arginine auxotrophy in different tumor types (166,172–175). Our laboratory research found evidence that HuArgI (Co)-PEG5000 induces autophagy cell death in hepatocellular carcinoma (176), pancreatic carcinoma (173,176), acute lymphoblastic leukemia (174), renal cell carcinoma (177), prostate cancer (178), colorectal cancer (CRC) (172), ovarian carcinoma (175) and breast cancer (179). In GBM, we observed that HuArgI (Co)-PEG5000 induces autophagy-dependent cancer cell death. The addition of exogenous citrulline failed to rescue any of the GBM cell lines from arginine depletion-induced cytotoxicity, indicating a high level of arginine dependence (166). A recent recruiting Phase I clinical trial (NCT04587830) is currently assessing the safety and tolerability of ADI-PEG 20, an arginine deprivation agent, in combination with radiotherapy and TMZ in patients newly diagnosed with GBM (180). Taken together, targeting GBM cells using arginine depletion is a potent and selective potential treatment for GBM.
5. Other targeted molecules
Other molecules such as human telomerase reverse transcriptase (hTERT), ATRX and protein kinase C, have also gained attention as potential targets for GBM cancer therapy. This is due to the finding that alterations in these molecules enhance GBM cells survival and progression.
Telomerase
hTERT
Telomerase is a ribonucleoprotein that consists of two subunits: i) the protein catalytic hTERT that mediates reverse transcriptase activity and ii) the human telomerase RNA template. Telomerase is mainly active in embryonic cells, stem cells and precursor cells. Notably, studies show that hTERT expression is upregulated in glioblastoma (181,182). In addition, ~80% of primary glioblastoma cells harbor a mutation or methylation in the hTERT promoter (183). Genomic sequencing revealed a high incidence of mutually exclusive point mutations C228T and C250T in hTERT promotor of glioblastoma cells (183). Arita et al (181) show that hTERT expression is 6.1 times higher in tumors carrying these mutations than in wild-type tumors and therefore leads to the upregulation of TERT. Upregulation of hTERT enhances telomerase activity and promotes an immortal phenotype (183). In addition, hTERT mutations are associated with poor prognosis and a multifocal invasive phenotype in GBM (184,185). Thus, hTERT promotor mutation can be recognized as a novel biomarker and therapeutic target molecule for GBMs (184,186,187). Currently, two immunization strategies are currently targeting hTERT in clinical trials. A Recruiting Phase II/III study (NCT03548571) is investigating the efficiency of immunization with IMP dendritic cells that are transfected with mRNA hTERT, as well as autologous tumor stem cells and survivin, compared with standard adjuvant chemoradiotherapy. Additionally, an active, not recruiting Phase I/II study, (NCT03491683) is evaluating the safety of INO-5401 (a combination of three separate DNA plasmids targeting hTERT, Wilms tumor gene-1 antigen, and prostate-specific membrane antigen) in patients with a glioblastoma tumor with an unmethylated MGMT promote.
Alpha thalassemia/mental retardation syndrome X-linked (ATRX)
ATRX is a DNA helicase/ATPase that belongs to the SWI2/SNF2 family (188). It is involved in chromatin remodeling and telomere maintenance. ATRX mutations occur in 57% of secondary glioblastoma and are associated with IDH1 and p53 mutations (189). ATRX loss of function mutation triggers a telomerase length mechanism also known as ‘alternative lengthening of telomeres’ that maintains telomere length, thus enabling cancer cells to escape cell senescence and promoting tumor growth (190). In addition, ATRX mutations impair non-homologous end joining and pDNA-PKcs recruitment, causing genetic instability and leading to DNA damage (190). Therefore, ATRX is another potential target for GBM treatment, however, it is not yet targeted in clinical trials.
Protein kinase C (PKC)
PKC is a serine threonine kinase that serves a crucial role in GBM growth and progression. PKC consists of 11 isoforms and is divided into three subfamilies: Classical, novel and atypical classes (191). Classical PKCs consist of two members, PKCα and PKCβ (192). Leirdal et al (193) show that PKC enhances GBM survival via MAK-ERK12 pathway. PKCα induces GBM progression via PKC-progesterone pathway (194). Once stimulated with 12-O tetradecanoylphorbol-13-acetate or lysophosphatidic acid, PKCa translocates to the nucleus, enhances progesterone receptor phosphorylation and promotes the migration and invasion capacity of GBM (194,195). PKCb serves an essential role in enhancing angiogenesis, thus facilitating GBM progression (196). Moreover, PKCβ leads to GBM cell death. Conversely, Liu et al (197) show that in an orthotopic mouse xenograft model, PKCβ II expression suppresses GBM tumor growth and extends mouse survival by inhibiting YAP/TAZ. Thus, PKCβ has two opposite roles in GBM.
The novel PKC subfamily contains four members: PKCδ, PKCɛ, PKCη and PKCθ. Inhibition of PKCδ suppresses tumor spheroid formation in vitro and tumor development in vivo (198). In glioblastoma, PKCδ is involved in tumor initiation (199), cancer cell migration and invasion (194,200) and radio-chemoresistance (199). Activation of PKCδ phosphorylates glycerol-3-phosphate dehydrogenase enzyme and serves an essential role in glucose metabolism and phospholipid synthesis (201). PKCɛ, on the other hand, is overexpressed in glioblastoma cell (202) and controls tumor survival (203) cancer cell adhesion and motility via activation of the ERK pathway (204,205). PKCη promotes GBM proliferation (206,207) and reduces cell sensitivity to radiotherapy (208).
Atypical PKCs ɩ and ζ are involved in GBM viability, migration, and invasion (209–211). Baldwin et al (211) show that inhibition of PKCi increases the activity of Rho B that, in turn, improves actin fiber formation and reduces GBM cell migration and invasion. Similarly, Guo et al (210) found that the suppression of PKCz enhances actin polymerization and reduces GBM cell migration and invasion.
Enzastaurin is a kinase inhibitor that particularly inhibits protein kinase C, thus decreasing tumor growth and cell proliferation (212). Results from recent clinical studies (Phase II NCT00586508 and Phase III NCT03776071) did not show improved PFS compared with bevacizumab and other therapeutic agents (212,213).
6. Challenges
Targeting intrinsically altered molecules that trigger GBM malignant phenotype is an innovative therapeutic strategy that aims to destroy tumor cells without damaging normal cells. However, despite the promising in vitro results, this novel therapy faces various barriers in vivo (Fig. 2).
Intra-tumoral heterogeneity
One reason behind the complexity of GBM management is that the genetic profiles of recurrent glioma cells and the initial cancer derived from the same patient are different (214). Thus, the plasticity and heterogeneity of GBM cell populations can explain the failure of clinical trials based on monotherapy in vivo. Clones of the genes that are identified by different number of chromosomal sets, exhibit a high level of heterogeneity in the expression of cell membrane markers. This leads to phenotypic heterogeneity at the level of the population providing an advantage for tumor survival (215). Neftel et al (216) found that gliomas rarely have identical proportions of single-cell transcriptomic states and this proportion is skewed by genetic associations that are specific to each patient leading to abundant heterogeneity. Therefore, it is recommended to carefully weigh the genetic, epigenetic, and molecular profile of each patient. Single-cell RNA-sequencing reveals the presence of various molecular and genetic cell subtypes within the same patient biopsy (215,217). These subtypes can change progressively and become more resistant to chemoradiotherapy (214). Neftel et al (216) describe multiple cellular states and determine a correlation between the cellular states, plasticity and genetic signature of tumor cells. They define four cellular states of malignant GBM tumor cells: Neural-progenitor-like, oligodendrocyte-progenitor-like, astrocyte-like and mesenchymal-like states. These states are characterized by the overexpression of CDK4, PDGPRα, epidermal growth factor (EGF) and NF1 alterations, respectively. Neftel et al (216) also showed the co-existence of multiple cellular states and their transition potential within the same patient sample and evidenced the ability of a single cell to generate all cellular states. Amplification of the EGFR and PDGFRA genes that specifically encode for RTKs has been recognized in GBM tumors (218). Snuderl et al (219) established that the amplification of different RTKs was infrequently found in the same region of the tumor; yet, different RTKs (MET, EGFR and PDGFRA) were amplified in diverse subpopulations of the GBM tumoral cells.
Another advancing technology that expands the understanding of the heterogeneity of GBM is the whole genome amplification (WGA) methods. WGA helps to identify different imbalances on the level of the chromosomes (218). In one study, Nobusawa et al (220) applied the WGA method on GBM samples (14 different primary samples) from two to five locations within each tumor. They recognized not only common modifications between all studied locations, but also changes that were specific to a certain region among the studied GBM tumor samples. A later study targeted 33 cancer genes with single molecular inversion probes and reported regional mutational heterogeneity among different patients with GBMs, as well as among the same patient (221).
Recently, Bhaduri et al (222) discovered the existence of ‘cancer stem cell likes’ that are able to give rise to heterogeneous cancer cell populations within the same tumor (discussed in details in the section below). In their study, Pang et al (223) discovered a path characterized by the progressive renovation of the GBM stem cells to reach an invasive state, known as the ‘stem-to-invasion path’. A gradual expression of the invasion signatures linked with GBM, failure in expressing the markers of GBM stem cells and different molecular cascades related to the invasion path were detected, along with different key factors such as transcription factors and long noncoding RNAs (223). Such findings help the understanding of the progression of glioma tumors and thus facilitate screening for efficient methods to therapeutically target GBM.
Efficient treatment options necessitate building a model the mimics a patient's GBM biology. Jacob et al (224) generated a new organoid model from patient-derived primary cancer cells that conserved the original tumor's histological, genetic and molecular signatures in addition to its cellular heterogeneity. In order to generate patient-derived glioblastoma organoids (GBOs), Jacob et al (224) obtained tissues along the tumor margin. These tissues were refined from necrosis and surrounding brain tissues, dissected and cultured in optimized serum-free GBO medium. When allowed to grow larger, GBO created gradients of hypoxia reflecting a hallmark of GBM. Immunohistological analyses reported markers for glia, immature neurons, neural progenitors and glioma stem cells, resembling the cellular composition of parental tumors. Also, single-cell transcriptome analysis confirmed cell-type heterogeneity and suggested that specific elements of the TME were preserved. Upon transplantation into adult rodent brains, GBOs showed reliable engraftment and aggressive infiltration (224). This suggested that a biobank of patient-derived GBO can be used as a prescreening drug model to investigate drug response and to evaluate its effectiveness on patient cells.
Glioblastoma stem cells (GSCs)
‘Cancer stem cell likes’, also referred to as ‘cancer stem cells’ (CSCs) are self-autonomous units that play a significant role in tumor initiation and growth as well as therapeutic resistance. GSCs are derived from the malignant transformation of normal neural stem cells or the dedifferentiation of tumor cells after radiotherapy or chemotherapy (225,226). GSCs exhibit prolonged proliferation and are able to metastasize and suppress anti-inflammatory responses and confer resistance to therapeutic treatments (227). Thus, GSCs are important factors that limit clinical options and treatments of GBM (228,229). Numerous studies that are currently being undertaken to target GSC were made possible by improved understanding of the biology of GCS (24). GSCs represent a hot topic for improved GBM treatment.
Some studies aim to target and kill GSCs directly by targeting stem cell biomarkers. For instance, GSCs that are CD133 positive are important for sustaining and spreading GBM (230). Patients with GBM have a higher survival rate when CD133 positive stem cells are eliminated (231). CD133 stem cells may be eliminated by BMI1 gene suppression, an oncogene involved in the control of stem cell self-renewal and differentiation (232). Inducing apoptosis in GSCs can be also achieved by targeting the signaling pathways that play a role in their self-renewal. For instance, the Wnt signaling pathway has been targeted since 2014 as it is involved in neural stem cell development (233). Targeting glycogen synthase kinase-3β (GSK-3β) and β-catenin is suggested to inhibit the Wnt pathway in vitro (234). AR-A01441, LiCl and SEN461 are examples of GSK-β inhibitors that lead to increased apoptosis of GBMs cells (24). Notably, Celecoxib is a β-catenin inhibitor that is already studied in clinical trials, however, no promising results have been reported yet (Table VI).
Table VI.
Therapeutic target | Therapeutic agent | Therapeutic strategy | Cancer condition | Phase | Status | (Refs.) |
---|---|---|---|---|---|---|
CD133 positive stem cells | ICT-121 DC vaccine | Four intradermal injections of the autologous ICT-121 dendritic cell vaccine | Recurrent glioblastoma | Phase I NCT02049489 | Completed | |
Activated T cells | ATC against glioma CSC antigens recruiting administered intravenously at one timepoint | Recurrent glioblastoma | Phase I NCT05341947 | Not yet | ||
Wnt pathway (b-catenin) | Celecoxib | TMZ alone or in combination with Thalidomide and/or Isotretinoin and/or Celecoxib after radiotherapy | Glioblastoma multiforme | Phase II NCT00112502 | Completed | (353) |
Combination of Celecoxib, 6-Thioguanine, and Xeloda (Capecitabine), with TMZ or Lomustine (CCNU) | Recurrent anaplastic glioma and glioblastoma multiforme | Phase II NCT00504660 | Completed | |||
TMZ, Thalidomide, and Celecoxib after radiotherapy | Patients with newly diagnosed glioblastoma multiforme | Phase II NCT00047294 | Completed | (354) | ||
Coordinated undermining of survival paths by 9 repurposed drugs (aprepitant, auranofin, captopril, celecoxib, disulfiram, itraconazole, minocycline, ritonavir and sertraline) combined with metronomic TMZ | Recurrent glioblastoma | Phase I/II NCT02770378 | Completed | (355) | ||
Thalidomide, Celecoxib, and combination chemotherapy | Relapsed or refractory malignant glioma | Phase II NCT00047281 | Completed | |||
Notch pathway (g-secretase) | RO4929097 | RO4929097 in combination with Cediranib Maleate | Advanced solid tumors including glioblastoma | Phase I NCT01131234 | Completed | |
RO4929097, TMZ, and radiotherapy | Advanced solid tumors including glioblastoma | Phase I NCT01119599 | Completed | |||
Hedgehog (SHH) pathway (SMO) | Vismodegib (GDC-0449) | Monotherapy | Recurrent glioblastoma multiforme | Phase II NCT00980343 | Completed | |
Umbrella protocol of molecularly matched targeted therapies (APG101, Alectinib, Idasanutlin, Atezolizumab, Vismodegib, Temsirolimus, Palbociclib) in combination with radiotherapy | Glioblastoma without MGMT promoter methylation | Phase I/II NCT03158389 | Recruiting | |||
Sonidegib (LDE225) | Oral LDE225 in combination with BKM120 | Advanced solid tumors including recurrent glioblastoma multiforme | Phase I NCT01576666 | Completed | ||
Molecularly-Driven doublet therapy for Gemcitabine, Ribociclib, Sonidegib, and Trametinib | Children and young adults with recurrent brain tumors | Phase I NCT03434262 | Recruiting | |||
Glasdegib (PF-04449913) | In combination with TMZ | Newly diagnosed glioblastoma | Phase I/II NCT03466450 | Active, not recruiting | ||
STAT pathway | Napabucasin (BBI608) | In combination with TMZ | Recurrent or progressed glioblastoma | Phase I/II NCT02315534 | Completed | |
WP1066 | Monotherapy | Malignant glioma including recurrent glioblastoma | Phase I NCT01904123 | Completed |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. ATC, activated T cells; CSC, cancer stem cells; DC, dendritic cells; MGMT, O6-methylguanine DNA methyltransferase; STAT, signal transducer and activator of transcription; TMZ, Temozolomide.
The Notch pathway is another targeted pathway for GBM treatment as it is involved in resistance to immunotherapies (235). γ-secretase is an enzyme that mediates Notch's cleavage and translocation to the nucleus. Therefore, γ-secretase is suggested as a plausible target for Notch inhibition (236). In fact, several clinical trials are testing the effect of RO4929097, a γ-secretase inhibitor, as a monotherapy for GBM treatment or in combination with other treatments. In addition to the aforementioned pathways, Hedgehog (SHH) pathway is also targeted to inhibit the renewal of GSCs, as it confers resistance to conventional GBM treatment. SHH pathway is targeted by inhibiting smoothened (SMO), its downstream effector (24). Vismodegib is one of the SMO inhibitors used in several clinical trials and it showed enhanced PFS when used before surgical resection (NCT00980343). Finally, the STAT3 pathway is also targeted to control neural stem development (237). WP1066 and Napabucasin (BBI608) are STAT3 inhibitors currently in Phase I (NCT01904123) and II (NCT02315534) clinical trials, respectively (no results are reported yet).
Notably, GSCs can be targeted by targeting the mitochondria or via specific antibiotics. For instance, oxidative phosphorylation (OXPHOS) is a major source of ATP in a number of types of cancer and plays a significant role in carcinogenesis and tumor growth (238). GSCs are OXPHOS-dependent GBM cells that require mitochondrial translation (239). The bacterial antibiotic quinupristin/dalfopristin (Q/D) blocks mitochondrial translation, which not only inhibits the formation of GSCs but also disrupts the cell cycle and increases apoptosis (239). These results suggest that Q/D may be taken into consideration for the treatment of GBM and that reducing mitochondrial translation may be examined to inhibit GSC growth. On the other hand, Salinomycin, is a K+ ionophore antibiotic that causes lysosomal iron sequestration, and leads to the production of ROS and lysosome membrane permeabilization (240). Salinomycin is shown to favorably kill GSCs and other types of CSCs (240,241). Although clinical trials examining the possible efficiency of Salinomycin in the treatment of glioblastoma have yet to be published, Salinomycin and its derivatives are now being researched intensively as anti-CSCs treatments for a variety of malignancies (241). Collectively, these results imply that focusing on GSCs is a promising approach for treating GBM more effectively.
Blood Brain Barrier (BBB)
The BBB forms an interface between the brain and the systematic blood circulation. It consists of endothelial cells (ECs) that line blood vessels, are surrounded by astrocytic perivascular pseudopodium and pericytes, and interconnected by neuronal ending and microglia (242,243). Under normal physiological conditions, ECs, connected by tight junction proteins, create a compact barrier. In addition, efflux transporters, carried by BBB cells, regulate molecular and cellular transport across the BBB and protect the brain from toxins, xenobiotics, and pathogens (243). The development and progression of GBM impair the integrity and function of the BBB, resulting in a heterogenous resistant barrier known as Blood Brain Tumor Barrier (BBTB). In glioblastoma, the BBTB is characterized by the downregulation of tight junction proteins such as claudin and occludin and overexpression of efflux transporters (244–247). These tight junction proteins increase the permeability of the BBTB, enhance paracellular transport and thus facilitate the penetration of cells and small molecules to the interstitial space of the brain. Accumulation of such molecules might have neuro-toxic effects. In addition, the heterogeneous permeability of the BBTB caused by the ‘leaking’ structure of the new blood vessels as against the compact structure of the local blood vessels leads to unequal distribution of the drug (248–250). Several FDA-approved drugs, including chemotherapy drugs, have affinity for efflux transporters, including P-gp and BCRP (251–256). Hence, overexpression of efflux transporters in glioblastoma restricts drug delivery to the brain.
In the line of BBB heterogeneity and overexpression of efflux transporters, cellular, chemical and physical approaches are being investigated to enhance drug delivery through the BBTB. One of these advanced approaches is the nanomaterial system which is based on different types of nanocarriers including, polymer-based, viral, drug-conjugated, lipid-based and inorganic nanoparticles (NPs) (257). NPs are usually loaded with drugs and are known to have a small size within a range between 1–100 nm (258). Budama-Kilinc et al (259) used a nanoparticle system based on a poly (ε-caprolactone) to deliver a tripeptide, glycyl-L-histidyl-L-lysine (GHK), to the GBM cells. GHK is known as a natural growth modulating tripeptide in vitro; thus, it decreases the viability of GBM cells to ~65%. Another study was based on a nanobubble system that consists of NPs made up of iron and platinum. NPs were either surface-functionalized with transferrin to target the glioma cells or loaded with doxorubicin (DOX) in a mouse model. These NPs resulted in reduced growth of the tumor by ~70% (260). On the other hand, Ambruosi et al (261) used a rat glioma model to test poly (n-butyl cyanoacrylate) (PBCA) as a potential therapy for GBM. PBCA NPs were loaded with DOX chemotherapeutic drug and coated with polysorbate 80 (surfactant). NPs successfully delivered the drug across the BBB and increased the median survival rate by 35% among tested rats living for the whole time of the study period.
On the molecular level, transferrin receptor (TfR) is a protein commonly targeted to enhance the delivery of therapeutical drugs through the BBB (262). Poly (lactic-co-glycolic acid) NPs loaded with TMZ and coated with TfR-monoclonal antibodies showed higher internalization in GBM cells compared with control cells (263). Kuang et al (264) examined the use of polymer-based NPs coupled to a peptide having the ability to target TfR on both the BBB and GBM cells to transport doxorubicin and RNA. Results showed higher efficiency in in vitro tumor targeting and cellular uptake, with a decline in the tumor growth leading to improved median survival time.
Focused ultrasound therapy (FUS) is another method used to facilitate transport through the BBB. It is a non-invasive and image-guided method that enhances the efficacy of drug delivery to GBM cells (265). Wei et al (266) showed an enhancement in the local delivery of TMZ to tumor cells through the FUS-mediated disruption of the BBB. Results reported an increase in the OS of rats with experimentally induced gliomas. Notably, MRI-guided FUS (MRgFUS) was evaluated to attain enhanced tissue delivery of TMZ in mice (267), liposome-encapsulated doxorubicin in rats (266) and cisplatin-conjugated gold NPs in mice (268). This method is advantageous as it reduces the systematic toxic effects of the drugs used (low doses of therapeutic drugs can be used) (269) and leads to temporary opening of the BBB rather than long-term opening associated with BBB disruptions (270). These studies show that the use of different NPs (nanomaterial system) or FUS has the potential to enhance the efficiency of therapeutical drug delivery in GBM management.
TME
The TME comprises fibroblasts, endothelial cells, immune cells, ECM and soluble factors surrounding the tumor. It provides biophysical and biochemical support for the tumor and contributes significantly to tumor initiation, growth, progression, and resistance to therapy (271).
GBM is classified as a hypoxic solid tumor where hypoxia is considered one of the non-cellular TME components. The hypoxic microenvironment is a major inducer of angiogenesis; a process in which ECs branch from preexisting small vessels to form sprouts of capillaries. Angiogenesis thus promotes tumor growth by supplying cancer cells with O2 and nutrients and facilitates their metastasis (272,273). Moreover, hypoxia induces the activation of a number of cellular processes that promote the migration, invasion and radio-chemoresistance of GBM cells (274–280). This is due to the overexpression of VEGF/HIF-1α protein. Therefore, and in order to control the hypoxic environment, researchers developed Bevacizumab, an FDA approved anti-VEGF antibody, for GBM treatment. Bevacizumab showed encouraging results as monotherapy or when combined with traditional treatment, as reviewed in the study by Cruz Da Silva et al (24).
GBM secretes a wide range of chemo-attractants and cytokines that recruit immune cells to the TME. For instance, GBM stem cells recruit macrophages and promote their transition from the antitumor (M1) to the pro-tumor (M2) phenotype (281). Tumor associated macrophages (TAM) are the most abundant cells inflating tumor lesion and accounting for ≤40% of the tumor mass. Indeed, the disrupted structure of BBTB facilitates the infiltration of TAM. In addition, GBM cells inhibit the proliferation of cytotoxic T cells and activate regulatory T cells (282). Occurrence of immune cells in the TME leads to the formation of an extensively immune-suppressive microenvironment and enhances GBM cell migration and invasion.
At present, researchers are investigating new therapeutic approaches that aim to reactivate the immune system against GBM and restore the immune surveillance in GBM. These approaches include reversing the polarization of M2 macrophages to M1, targeting immune checkpoints using checkpoint inhibitors to rebut T cell responses, and implementing cytokine therapy. Yang et al (283), discovered that the dual-targeting of IL-6, which stimulates different macrophages activation in GBM, and CD40 may help in reversing tumor immunosuppression mediated by macrophages thus informing the immunotherapy based on T-cells against GBM. In their study, it was shown that CD40 stimulation and IL-6 inhibition reverse tumor immunosuppression mediated by macrophages and increase the survival rates of the animals in GBM models (283). Similar findings supported the use of macrophages-based therapies as effective therapeutic approaches when targeting GBM.
Cytokine therapy represents a hot topic for immunotherapeutic approaches since cytokines are molecular messengers of innate and adaptive immunity (284). This approach promotes human natural killer (NK) and T cell activity, survival and proliferation thus coordinating immune responses against malignancies (285). TGF-β, IFN-α, IFN-γ and IL-12 and other cytokines have anti-tumor effect in GBM, thus reducing tumor size and inhibiting carcinogenesis at early stages (286). Tumoral injection of Ad-RTS-hIL-12 in combination with veledimex (VDX, an hIL-12 activator) and an FDA approved antibody cemiplimab was tolerated well and exhibited increased circulating cytotoxic T cells in patients with recurrent or progressive GBM (Phase II NCT04006119). IFN-β immunotherapy in combination with TMZ was also evaluated in clinical trials (287). Han et al (288), used cytokine-induced killer therapy with TMZ on patients with GBMs and reported higher PFS rates in treated vs. control untreated group. The therapeutic efficacy of various cytokines in the treatment of gliomas is still being investigated. The cytokines' safety and tolerance are being defined, and some are thought to be a promising supplement to conventional treatments (289).
Glioma cells frequently employ a variety of strategies to avoid immune surveillance. Therefore, several therapeutic approaches have been developed to activate immune responses in the TME. Cytotoxic T lymphocyte-associated protein 4 (CTLA-4), programmed cell death protein 1 (PD-1), and PD ligand 1 (PD-L1) are immune checkpoint proteins targeted for monoclonal antibody inhibition (290,291). Monoclonal antibodies act by freeing T lymphocytes from their negative regulation thus suppressing cancer evasion of the immune system (292,293). Several immune checkpoint inhibitor antibodies have been approved by the FDA for the treatment of several types of cancer (294). Neoadjuvant therapy with pembrolizumab, an anti-PD-1 monoclonal antibody, resulted in improved OS and PFS in patients with recurrent surgically respectable GBM (Phase II NCT02337686) (43). Wang et al (295) demonstrated that genetically engineered multifunctional NK cells (CD73.mCARpNKs) can lead to efficient anti-GBM activity mainly by bypassing the heterogeneity and the immunosuppressive structures of GBM tumors. Immune responses in the TME can be also stimulated by adoptive cell therapy (ACT). This method involves isolating autologous T lymphocytes with anti-tumor activity from cancer patients, expanding them ex vivo, and transferring amplified engineered T cells to the patients (296,297). Among the different ACT methods developed, chimeric antigen receptor (CAR)-T cell gene therapy has attracted the most attention for killing cancer cells. CAR-modified T cells may identify different types of antigens regardless of how they are presented on MHC molecules (298). To date, there are currently 24 clinical trials examining the efficacy of CAR-T cell treatment for GBM according to Clinicaltrials.gov (accessed on 10 August 2022; Table VII). Several CARs have been generated to specifically target GBM such as EGFRvIII, HER2, IL13R2, and CD70 (290). Collectively, studies using CAR-T cell immunotherapy exhibit encouraging results. However, obstacles such as tumor heterogeneity, the heterogenous expression of antigens, and the role of T cells at the tumor's sites make it challenging to efficiently eradicate the tumor (290).
Table VII.
A, CAR-T cells | ||||||
---|---|---|---|---|---|---|
| ||||||
Therapeutic agent | Specificity | Therapeutic strategy | Cancer condition | Phase | Status | (Refs.) |
CAR-T Cell Receptor Immunotherapy | EGFRvIII | In combination with Aldesleukin, Fludarabine or Cyclophosphamide | Malignant gliomas expressing EGFRvIII | Phase I/II NCT01454596 | Completed | (356) |
CAR-T-EGFR-IL13 Ra2 cells | EGFR epitope 806 and IL13Ra2 | CART-EGFR-IL13 Ra2 cells following lymphodepleting chemotherapy | Recurrent glioblastoma | Phase I NCT05168423 | Not yet recruiting | |
CAR-T-EGFRvIII cells | EGFRvIII | In combination with pembrolizumab (PD-1 Inhibitor) | With newly diagnosed, MGMT-unmethylated glioblastoma | Phase I NCT03726515 | Completed | |
CD147-CAR-T Cells | CD147 | Monotherapy | Recurrent glioblastoma CD147 Positive | Early Phase I NCT04045847 | Unknown | |
B7-H3CAR-T | IFN-1 | Monotherapy | Recurrent glioblastoma multiforme | Phase I NCT05474378 | Completed | |
NK-92/5.28.z Cells | NK-cells | With the anti-PD-1 antibody Ezabenlimab | Recurrent HER2-positive glioblastoma | Phase I NCT03383978 | Recruiting | (308) |
| ||||||
B, Cancer vaccine | ||||||
| ||||||
Therapeutic agent | Specificity | Therapeutic strategy | Cancer condition | Phase | Status | (Refs.) |
| ||||||
DCVax®-L | DC based vaccines | Monotherapy | Newly diagnosed glioblastoma multiforme | Phase III NCT00045968 | Active, not recruiting | (357) |
ICT-107 | DC based vaccines | After surgery and chemotherapy | Glioblastoma multiforme | Phase II NCT01280552 | Completed | |
ACTIVATe (PEP-3 vaccine) | EGFRvIII | In combination with sargramostim and TMZ | Newly diagnosed glioblastoma multiforme | Phase II NCT00643097 | Completed | (28) |
Rindopepimut (CDX-110, ACT IV vaccine) | EGFRvIII | With GM-CSF, TMZ and KLH | Newly diagnosed glioblastoma | Phase III NCT01480479 | Completed | (358) |
With GM-CSF, Bevacizumab and KLH | Recurrent EGFRvIII-positive glioblastoma | Phase II NCT01498328 | Completed | (359) | ||
Personalized Neo Antigen Vaccine | Personalized neoantigens | After radiotherapy, with Pembrolizumab | Newly diagnosed glioblastoma multiforme | Phase I NCT02287428 | Recruiting | (318) |
GAPVAC (APVAC1 and APVAC2) | Personalized mutated and unmutated tumor antigens | With immunomodulators concurrent to TMZ | Newly diagnosed glioblastoma | Phase I NCT02149225 | Completed | (319) |
AV-GBM-1 | Following primary surgery plus concurrent chemoradiation | Newly diagnosed glioblastoma | Phase II NCT03400917 | Active, not recruiting |
Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 10 August 2022). Terminated studies are not included. CAR-T, chimeric antigen receptor-T cell; EGFR, epidermal growth factor receptor; GM-CSF, granulocyte-macrophage colony-stimulating factor; IL, interleukin; INF-1, type I interferon; KLH, Keyhole Limpet Hemocyanin; MGMT, O6-methylguanine DNA methyltransferase; NK, natural killer cells; PD-1, programmed cell death protein 1; TMZ, Temozolomide.
7. Discussion
Glioblastoma is characterized with high cell proliferation and neovascularization leading to tumor infiltration reaching crucial structures in the brain. This increases the possibility of tumor recurrence, scoring low survival rates (299,300). Therefore, more effective treatment procedures are required to extend the lives of patients. Conventional treatments such as radiotherapy and chemotherapy are regarded as a two-edged sword. This is because these treatments are frequently accompanied with normal tissue damage or genetic changes, nonspecific drug distribution and multidrug resistance. However, chemoradiotherapy promises improved survival and quality of life that may outweigh their disadvantages; thus, these modalities remain the primary cancer weapons. Substantial research has been done, and continues to be done, to develop novel therapeutic approaches that are less toxic for normal tissues and endow increased survival and improved quality of the lives of patients. Researchers have discovered genetic and subsequent molecular changes influencing critical pathways that cause aggressive behavior of tumors (24,214). Therefore, targeting these altered molecules and pathways is seen as a promising new approach to GBM treatment.
Over the previous few decades, biomarker-driven methods, such as small molecule inhibitors and monoclonal antibodies, have been developed. These methods aim to target key altered players that are directly correlated with tumor progression and invasion. EGFRs constitute one of the mostly targeted molecules in clinical trials to treat patients with GBMs (Table I). However, targeted therapy has shown little to no promising results due the intra-tumoral heterogeneity of GBM and drug resistance (216,218). Tumor heterogeneity could be a plausible explanation for GBM resistance to EGFR-targeted treatments. Moreover, resistance to EGFR therapy can also be caused by upregulation of redundant RTKs and downregulation of EGFR downstream molecules (218). Consequently, co-targeting of EGFR and other RTKs such as c-MET could offer a solution as seen in vivo (301). Multi-targeted therapeutic approaches offer an advantage where drugs can target numerous important nodes for GBM growth and progression, compensating for the inefficiency and quick acquisition of resistance seen with monotherapies (302). Multi-targeted therapeutic approaches also include the administration of multi-kinase inhibitors (303,304). Moreover, more complicated pathways have been identified and targeted in vitro. In-depth-investigation of these pathways helps to identify novel drugs.
Glioblastomas are intrinsically immunologically ‘cold’ tumors due to presence of few T cells but predominant pro-tumor immune cells in the TME, constituting a common reason for drug resistance (305). Immunotherapies thus aim to use a patient's immune system to re-direct immune cells against a tumor. Researchers have established several other immunotherapeutic strategies to target patients with GBMs with immunostimulatory conditions. These include immune check-point inhibition, autologous stimulated lymphocytes, cytokine therapy and dendritic cell therapy (306). Except for certain cases, immunotherapy in glioblastoma clinical trials has been disappointing overall. CAR-T cell therapy, for instance, faces a significant hurdle since glioblastoma tumors can rapidly adapt via antigen escape (307). CAR-NK cell therapy, on the other hand, offers an advantage as it can be administered to an HLA-mismatched patient, and Phase I clinical trial is showing promising preliminary results (NCT03383978) (308). Yet, NK cell expansion and manufacturing are still time and money consuming (309). Akin to targeted therapy, tumor heterogeneity is also a limiting factor for immunotherapy. Moreover, combing immunotherapy with chemotherapy may also lead to drug resistance (310). Anti-inflammatory corticosteroids, for example, may counteract the therapeutic effects of immunotherapy (311). Additionally, glioblastoma cells can adapt to immune checkpoint inhibition by increasing the expression of alternative checkpoints (312). The immunosuppressive TME is another limitation for immunotherapy, thus, combinatorial immunotherapy approaches may overcome this issue (313,314). In fact, preclinical research on combination immunotherapy yielded promising outcomes [reviewed in (314)]. The most successful approaches are those that influence the cancer-immunity cycle at different times and/or sites, leading to the activation of immune response and the inhibition of immunosuppressive elements (314).
Cancer vaccines are one of the very promising immunotherapies and are being thoroughly researched as a method to reduce tumor development and eliminate tumor cells in cancer patients. Peptide-based, dendritic cell (DC)-based, and personalized vaccines are being explored as potential vaccine therapies in GBM (305,315) (Table VII). Cancer vaccine design depends on selecting an ideal antigen specifically expressed and present on all cancer cells, highly immunogenic and essential for cancer cell survival (316). These antigens are therefore processed by DCs aiding in recruiting and activating CD8+ and CD4+ T cells that will promote tumor eradication (317). DCVax®-L and ICT-107 are DC-based vaccines tested in clinical trials for safety, tolerance and efficacy in patients with GBMs (NCT00045968 and NCT01280552 respectively). Personalized vaccination is now made possible using multi- epitope-based patient-specific vaccine to target neoantigens only (Phase I NCT02287428) (318) or both neoantigens and unmutated tumor-specific antigens (Phase I NCT02149225) (319). Corresponding results reported neoantigen-specific CD4+ and CD8+ T cell responses migrating into the tumor with increased number of infiltrating T cells (318,319). AV-GBM-1 is another personalized cancer vaccine based on autologous dendritic cells full of autologous tumor neoantigens. Phase II clinical study (NCT03400917) reported an enhanced PFS (320) demonstrating a promising positive effect of vaccination in patients with GBM.
Most of the current therapeutic strategies need to overcome the obstacles of drug delivery due to BBB, tumor and TME heterogeneity and abundant GSC niches. Burkhardt et al (321) propose promising results for an intra-arterial brain administration of Bevacizumab after temporary destruction of the BBB by mannitol. Followed by intravenous administration, their technique is able to overcome the poor intracerebral availability of the drug and enhanced PFS in patients with recurrent GBMs. Several studies suggest that molecular subgroups exist within histologically similar GBM tumors (322,323). Research into the dynamics of various glioblastoma subtypes would help understand the survival features of the TME. This highlights that future treatment options should no longer be based exclusively on morphological assessments, but must now take molecular and cellular heterogeneity into account. Furthermore, the plasticity of GBM cells caused by the bidirectional communication between GSCs and their differentiated counterparts complicates heterogeneity (227). These two populations respond differently to radio-, chemo- and targeted therapies. Thus, targeting both components should be well considered during the course of treatment.
Due to genetic heterogeneity and tumor growth, single-target therapy generates recurrence and consequent resistance to initial treatment. Therefore, therapeutic strategies are implementing targeted therapy along with immunotherapy. Notably, immunostimulatory and immunosuppressive effects are also mediated by targeted therapy (324). Inhibition of several molecular targets, such as anti-angiogenic agents, has already been proved to improve immunotherapy clinical results in a variety of types of cancer (325). It is worth noting here that, when it comes to combinatorial therapeutic approaches, greater laboratory and clinical efforts are required to validate their efficiency.
The increased understanding of GBM biology outlined above was made possible in part by the growth of murine preclinical GBM models. These models were key for translatable research from preclinical to clinical studies. Glioblastoma cell-line xenografts, patient-derived xenografts, and genetically engineered mouse models are currently available. However, these models fail to recapitulate tumoral and TME heterogeneity of GBM. Thus, the effects of advanced therapies in animal models rarely replicate clinical data, which is a persistent issue in glioblastoma research. The success of such therapies may rely on the development of reliable GBM models. Several reproducible glioma models in pigs are evolving as preclinical large-animal models (326–329). Therefore, xenograft and genetically engineered porcine models are suggested as reliable prospective models to allow for a transitional step between murine models and human clinical trials (330).
Effective drug delivery systems that can cross the BBB are also attracting attention. This includes non-viral vectors such as nanocarriers and viral vectors such as oncolytic viruses. Due to advanced research and promising outcomes, chemoradiotherapy nanomedicine is expected to be progressively applied in the clinic in the coming years (331). Targeted gene therapy employing nano-based carriers is being explored and its applicability for a number of forms of cancer are currently under Phase I–III development (332). It is thus expected that combing monoclonal antibodies and nano-carriers could also improve the efficiency of immunotherapy. On the other hand, oncolytic viruses are vectors of targeted gene therapy that can cross the BBB and are considered a promising method for treating GBM (333–336). While drug and gene delivery via oncolytic viruses are currently in clinical trials, more research and large randomized controlled Phase II/III trials are needed to assess their beneficial clinical outcome.
8. Conclusion
An efficient GBM treatment starts by understanding the molecular alterations in cells derived from the patient and that are driving the malignant phenotype. This is followed by studying the effect of a selected treatment in vitro using the ‘ideal’ model that can conserve the molecular signature of patient cells. Prior to incorporating the patient in any clinical trial, it is also recommended that researchers or physicians analyze the structure of the BBB to evaluate the ability of a selected drug to pass across the BBB. Finally, the use of a combined therapy strategy that targets tumor cells and cells of the surrounding microenvironment may increase the efficiency of the GBM treatment.
Acknowledgements
Not applicable.
Funding Statement
Funding: No funding was received.
Availability of data and materials
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Authors' contributions
OEA and RN equally designed the review and wrote most of the article. MA researched references and contributed to the writing of the manuscript. RAH and MES (PIs) wrote the final draft and edited the manuscript. Data authentication is not applicable. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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Data Availability Statement
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