Download PDF
Review  |  Open Access  |  12 Mar 2025

The epigenetic mechanisms involved in the treatment resistance of glioblastoma

Views: 206 |  Downloads: 47 |  Cited:  0
Cancer Drug Resist. 2025;8:12.
10.20517/cdr.2024.157 |  © The Author(s) 2025.
Author Information
Article Notes
Cite This Article

Abstract

Glioblastoma (GBM) is an aggressive malignant brain tumor with almost inevitable recurrence despite multimodal management with surgical resection and radio-chemotherapy. While several genetic, proteomic, cellular, and anatomic factors interplay to drive recurrence and promote treatment resistance, the epigenetic component remains among the most versatile and heterogeneous of these factors. Herein, the epigenetic landscape of GBM refers to a myriad of modifications and processes that can alter gene expression without altering the genetic code of cancer cells. These processes encompass DNA methylation, histone modification, chromatin remodeling, and non-coding RNA molecules, all of which have been found to be implicated in augmenting the tumor’s aggressive behavior and driving its resistance to therapeutics. This review aims to delve into the underlying interactions that mediate this role for each of these epigenetic components. Further, it discusses the two-way relationship between epigenetic modifications and tumor heterogeneity and plasticity, which are crucial to effectively treat GBM. Finally, we build on the previous characterization of epigenetic modifications and interactions to explore specific targets that have been investigated for the development of promising therapeutic agents.

Keywords

DNA methylation, epigenetics, glioblastoma, histone modification, miRNA, treatment resistance, tumoral heterogeneity

INTRODUCTION

The most common primary malignant brain tumor is glioblastoma (GBM). Approximately, around 13,000 individuals are diagnosed with GBM every year in the United States[1]. GBM is characterized by its aggressive nature and ability to recur. In this context, the 5-year survival rate of patients remains below 7% despite multidisciplinary management with surgical resection, radiation therapy, and chemotherapy[1]. Hence, the tumor’s resistance to treatment remains a major concern and a topic of substantial research interest. This resistance is a multifaceted process with several underlying mechanisms. One of the major contributors to the development and maintenance of treatment resistance is the epigenetic profile of GBM cells, which is defined as the set of alterations and effectors that regulate the expression of genes and the resultant phenotype of cells without changing their DNA sequence[2,3]. These epigenetic processes include DNA methylation and demethylation, histone modifications, chromatin remodeling, and non-coding RNAs. Each of these modifications, along with the enzymes and molecular pathways that interact with them, have been shown to be implicated in driving treatment resistance in at least one mechanism. This review aims to highlight the significant implication of epigenetic alterations and processes in GBM’s resistance to therapeutic modalities. It also discusses the heterogeneity and plasticity present within GBM tumors, which include the diverse epigenetic profiles. Finally, the review builds on these aspects to explore targeted agents and therapeutic modalities that have been shown to interfere with the epigenetic profile of GBM tumors and recircuit it in a way that attenuates treatment resistance, augments the efficacy of existing therapeutics, and potentially could improve patient outcomes.

EPIGENETIC PROCESSES IMPACT GLIOBLASTOMA RESISTANCE TO TREATMENT

DNA methylation

DNA methylation, initially documented in 1948, stands as one of the most extensively researched epigenetic modifications. In humans, this process involves the attachment of a methyl group to cytosine residues, primarily at CpG sites, facilitated by a group of enzymes known as DNA methyltransferases (DNMTs). One-carbon metabolism provides the methyl groups necessary for the methylation of cytosine residues in DNA, particularly in CpG islands, influencing gene expression and chromatin structure. Analysis of glioblastoma surgical specimens from both initial presentation and recurrence shows that enzymes involved in one-carbon (1-C) purine synthesis are upregulated in recurrent glioblastoma. Furthermore, higher expression of these enzymes is associated with a shorter time to tumor recurrence[4]. DNA methylation serves several pivotal roles across various stages of human development and throughout life, including transcriptional regulation, genomic imprinting, preservation of X-chromosome inactivation, chromosomal maintenance, and upkeeping genomic stability[5-7]. Aberrant DNA methylation, observed in cancer cells, involves genome-wide hypomethylation and site-specific hypermethylation, primarily affecting CpG islands located within gene expression regulatory regions. These alterations play a significant role in tumor initiation, advancement, and resistance to treatment[8]. In addition to the more conventionally explored CpG island methylation, another form of non-CpG DNA methylation has been investigated. This form of methylation is known as CpH (where H refers to any base other than G). Herein, CpH methylation especially occurs in the brain[9] and has been associated with alpha-synuclein expression in Parkinson’s disease[10] and with risk loci in Schizophrenia[11]. However, to date, the impact of CpH methylation has not been explored in the context of brain tumors and its potential association with oncogenic gene expression and aggressive phenotypes in these tumors.

In the context of GBM, DNA methylation frequently targets the promoter regions of tumor suppressor genes, which are responsible for restraining cell growth, division, and promoting programmed cell death. When these genes undergo silencing via DNA methylation, their ability to suppress tumor growth is compromised, leading to uncontrolled proliferation of tumor cells. Examples of tumor suppressor genes affected by DNA methylation in GBM include Phosphatase and tensin homolog (PTEN) and O6-methylguanine-DNA methyltransferase (MGMT)[12,13] [Figure 1A]. In GBM, this DNA methylation disrupts transcription factors binding to the promoter region, thus inhibiting the initiation of gene expression[14].

The epigenetic mechanisms involved in the treatment resistance of glioblastoma

Figure 1. Illustration of the different epigenetic modifications that target chromatin and contribute to treatment resistance in GBM. (A) DNA methylation silences the promoters of tumor suppressor genes, hence contributing to the proliferative ability of GBM cells. This mechanism also has the ability to suppress the expression of inhibitors of the WNT pathway (WIF1, DKKF, NKD, sFRP) and RAS pathway (RASSF1A); (B) Histone acetylation, which is achieved by histone acetylases and reversed by histone deacetylases, can also contribute to the regulation of chromatin structure and gene expression. For example, histone acetylation by KAT6A can lead to increased expression of the genes involved in the overactivation of the PI3K/AKT oncogenic pathway. This is reversed by the histone deacetylase HDAC1; (C) Histone methylation is another alteration that can control the expression of genes. For instance, the interplay between the histone methylase MLL and the demethylase KDM1 can regulate the expression of HOX genes, which are implicated in cancer proliferation and treatment resistance; (D) The chromatin remodeling complex SWI/SNF can alter the architecture of chromatin through several of its domains. One such domain, ACTL6A, can promote the expression of the YAP/TAZ pathway, which, in turn, contributes to treatment resistance. GBM: Glioblastoma multiforme; MGMT: methylguanine methyltransferase; PTEN: phosphatase and tensin homolog; WNT: wingless; WIF: WNT inhibitory factor; DKKF: dickkopf; NKD: naked cuticle; sFRP: secreted frizzled-related protein family; RASSF1: ras association domain family; HDAC: histone deacetylase; KAT: lysine acyltransferase; MLL: mixed lineage leukemia; KDM: histone lysine demethylase; SWI/SNF: switch/sucrose non-fermentable; ACTL6A: actin-like protein 6A; PI3K/AKT: phosphoinositide-3-kinase-protein kinase B; HOX: homeobox; YAP/TAZ: yes-associated protein/transcriptional co-activator with PDZ-binding motif.

The MGMT gene encodes the DNA-repair protein O6-alkylguanine-DNA-alkyltransferase (AGT)[15]. AGT plays a crucial role in cellular physiology by removing alkylating lesions at the O6 position of guanine, thereby maintaining genomic stability and preventing DNA damage, including that induced by alkylating chemotherapeutic agents such as temozolomide (TMZ)[16]. MGMT expression varies widely among different types of tumors and normal tissues. Higher levels of MGMT expression contribute to increased DNA stability and protect cells from the deleterious effects of alkylating agents used in chemotherapy[15]. Conversely, decreased or absent MGMT expression increases the susceptibility to chemotherapeutic agents and enhances sensitivity to alkylating agents[15]. In tumors, MGMT promoter methylation effectively silences MGMT expression, leading to increased responsiveness to chemotherapy that includes alkylating agents[17]. In the clinical setting, in GBM, MGMT promoter methylation status helps predict the efficacy of TMZ therapy, since patients with MGMT promoter methylated tumors tend to have a better response to TMZ chemotherapy and longer overall survival compared to those without promoter methylation[18,19].

Moreover, DNA methylation can impact genes involved in the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt)/mammalian target of rapamycin (mTOR) pathway, which is frequently dysregulated in GBM, altering the sensitivity of tumor cells to targeted therapies [Figure 1B]. In general, the phosphoinositide-3-kinase-protein kinase B (PI3K-AKT) signaling pathway promotes cellular proliferation and growth while concurrently suppressing apoptosis[20]. Singh et al. demonstrated that depletion of TP53, PTEN, and NF1 in human brain organoids induces a glioma-like phenotype in vitro, underscoring the significance of PTEN suppression in gliomas[21]. Wiencke et al. showed that methylation of the PTEN promoter is associated with phosphorylation of protein kinase B (PKB/Akt), indicating functional activation of the PI3K pathway[22]. This activation contributes to the promotion of GBM growth and enhancement of cell survival.

Hes Related Family BHLH Transcription Factor with YRPW Motif 1 (HEY1) belongs to the Hairy/Enhancer of split [H/E(spl)] family of basic helix-loop-helix transcription factors[23]. It plays a crucial role in sustaining neural precursor cells following Notch signaling. The Notch receptor undergoes cleavage by TNF-α-converting enzyme and γ-secretase, resulting in the generation of the active Notch intracellular domain (NICD)[24]. NICD translocates to the nucleus, where it facilitates the expression of Notch targets such as HEY1 and hairy and enhancer of split-1 (HES1)[25]. Notch signaling is essential in GBM. Notch receptors and their ligands are markedly upregulated in GBM, indicating abnormal activation of Notch signaling[26]. Elevated levels of Notch1 and NICD1 are frequently observed in GBM. Increased activation of Notch1-mediated signaling contributes to the development and resistance to chemotherapy in GBM[24,27-29]. Hence, targeting the Notch pathway has emerged as a promising approach for future GBM therapies[24]. HEY1 expression rises proportionally with the severity of astrocytoma tumor grades and is associated with both reduced overall survival and reduced disease-free survival rates[23]. Studies, such as that by Tsung et al., have shown that the methylation status of HEY1 plays a role in GBM pathogenesis and can serve as a predictive marker for GBM patients[30].

In GBM, aberrant promoter methylation contributes to the activation of the Wingless (WNT) pathway by silencing various negative regulators. These include genes encoding WNT inhibitory factor 1 (WIF1), members of the secreted frizzled-related protein (sFRP) family, Dickkopf (DKKF), and naked cuticle (NKD) family members[31,32]. Likewise, promoter methylation also silences negative regulators of the Ras pathway, such as the Ras association (RalGDS/AF-6) domain family member RASSF1A[33] [Figure 1].

Histone modification

The role of histone post-translational modifications (PTMs) in regulating gene expression is well recognized[34]. This is primarily accomplished by altering the structure and/or function of chromatin, an octamer core consisting of paired copies of histone proteins H2A, H2B, H3, and H4 enveloped by double-stranded DNA[35]. Attached to these histones are N-terminal tails, which extend beyond the nucleosome core and are thus susceptible to PTMs, including methylation, acetylation, phosphorylation, and ubiquitination. Abnormalities within these histone modifications have been demonstrated to contribute to gene transcription, resulting in increased GBM proliferation, invasion, and ultimately therapeutic resistance[36-39].

Histone methylation and demethylation

Methylation of histone tails occurs because of the actions of histone methyltransferases (HMTs), which catalyze the transfer of methyl groups from S-adenosylmethionine onto the fundamental residues of a histone tail[40]. Methylation most commonly occurs on the side-chain nitrogen atoms of arginines and lysines[41] [Figure 1C]. Accordingly, HMTs are generally divided into lysine methylating proteins (KMTs), such as SET [Su(var), Enhancer of Zeste, and Trithorax] domain-containing and DOT1-like proteins, and arginine methylating proteins such as the arginine N-methyltransferases (PRMTs)[41]. Unlike acetylation, methylation alters the hydrophobicity and hydrogen binding radii of methyl-lysine, thereby modifying the binding properties of these sites without neutralizing the charge of the target residue[42]. Reversal of histone methylation is catalyzed by histone demethylases. Similar to their methylating counterparts, demethylases are segregated between lysine demethylation enzymes (KDMs), such as amine oxidase domain-containing (LSD) proteins and Jumonji C (JmjC) domain-containing proteins, while identifying arginine-selective demethylases has proven generally elusive[43,44].

In humans, histone H3 is arguably the most cited due to its highly conserved sequence in eukaryotic organisms, which enables the identification of numerous PTMs on the histone[45]. Particularly, methylation occurs on the lysine residue sites of H3, with H3K4, H3K36, and H3K79 methylations marking transcriptionally active genes and H3K9, H4K20, and H3K27 methylations signaling inactive genes[46-48]. For example, it is understood that H3K4 is methylated by the mixed lineage leukemia (MLL) family of proteins in GBM biology-leading to upregulation of genes implicated in differentiation and self-renewal [Figure 1C][46,49]. Furthermore, MLL has been shown to directly increase the GBM stem-like cell (GSC) proliferation rate in vitro and in vivo through activation of the HOXA10 transcription factor and subsequent upregulation of developmental Hox genes[50]. Another example is enhancer of Zeste homolog 2 (EZH2), the primary HMT enzyme for H3K27me methylation, which has been increasingly aligned with GBM tumorigenicity, stemness, and resistance to therapeutics such as TMZ through its upregulation of c-MYC expression and STAT3 phosphorylation[51-57]. Moreover, Su(var)3-9/enhancer-of-zeste/trithorax (SET) domain and mariner transposase fusion gene (SEMTAR), an additional HMT responsible for H3K36 methylation, has been highlighted as a contributor to GBM radiation resistance through its recruitment of Ku80, a DNA damage repair protein[57]. Although mechanistic pathways for HMT influence are generally unclear, it is evident that they present unique targets for potential epigenetic treatment avenues. Similarly important to GBM tumorigenicity is the H3K9 family of methyltransferases. Euchromatic histone lysine methyltransferase 2 (EHMT2) expression has been linked to a pro-tumorigenic effect[58,59], with in vitro inhibition reducing overall H3K9 dimethylation and increasing c-MYC-dependent autophagy and autophagy-dependent differentiation. Additionally, EHMT2 methylation of hypoxia-inducible factor-1 (HIF-1) inhibited hypoxia adaptation and cellular invasion in the U251MG cell line, ultimately revealing a hypoxia-induced mechanism of negative feedback for HIF-1 activity and human GBM cell mobility[60,61]. Similarly, methylation of H3K9 by Suv39H1 and SETDB1 has demonstrated decreased expression of the gene. Further studies in GBM have noted an increased expression of both Suv39H1 and SETDB1 as compared to normal brains, with short-hairpin-RNA-mediated (shRNA) knockdown of SETDB1or chaetocin-mediated inhibition of Suv39H1 being associated with increased apoptosis and reduced migration and colony formation in T98G and GOS-3 glioma cell lines[62-65].

Generally, however, histone lysine methylation serves to modify the regulation of transcription and chromatin structure dependent on the degree and site of methylation. Notably, this includes the association of H3K4 monomethylation with enhancer regions, di- and trimethylation of H3K4 with promoter regions and transcription start sites, and trimethylation of H3K36 in gene bodies of actively transcribed genes[66]. A more in-depth analysis of biological histone lysine methyltransferases has been published by Husmann and Gozani[67]. Counteracting these methylating efforts are KDMs such as KDM1, which demethylates H3K4 and H3K9, KDM2, which demethylates H3K36, and KDM4, which demethylates H3K9. In adult and pediatric GBM, the KDM4 subfamily of lysine demethylases retains a significant functional impact, with studies demonstrating in vitro elevation of KDM4A expression in the more TMZ-resistant T98G cell lines as compared to the U251MG[68]. Additionally, KDM2A plays an integral role in GBM immune resistance through a miR-302a/KDM2A/JAG1 axis, resulting in increased T-regulatory cell proliferation in mouse models[69,70]. Moreover, research by Liau et al. demonstrated that GSCs can enter a slow-cycling or quiescent state in response to receptor tyrosine kinase (RTK) inhibition. These slow-cycling cells depend on histone demethylase KDM6A/B, which leads to the redistribution of histone H3 lysine 27 trimethylation (H3K27me3) and contributes to tumor propagation and drug resistance[71]. To better contextualize clinical impact, KDMs will be further expanded upon in the analysis of therapeutic approaches.

Functionally, PRMTs serve to add methyl groups onto the arginine residues of certain target proteins, thereby disrupting their protein-protein interactions and corresponding downstream cellular processes[16]. Dichotomized, Type I PRMTs catalyze the mono- and asymmetric di-methylation of arginine, while Type II PRMTs catalyze mono- and symmetric di-methylation of arginine[41]. In GBM patients, PRMT5 and PRMT1 have historically been overexpressed and negatively associated with overall survival[72-75]. For example, GBM cells utilize PRMT5 to avoid mTOR inhibition, with in vivo inhibition of PRMT5 generally resulting in increased survival in animal models[72,74,76]. Furthermore, depletion of either PRMT5[74,76,77] or PRMT1[75] in intracranial orthotopic mouse xenograft models has demonstrated significant inhibition of tumor growth[16]. PRMT3 has been linked to metabolic pathway regulation in GBM, specifically preventing ubiquitination of HIF-1 to promote glycolysis. Additionally, PRMT3 knockdown in GSCs has been demonstrated to induce cell cycle arrest and apoptosis, with its inhibition causing decreased tumor growth in xenograft mouse flank models[78].

Histone acetylation and deacetylation

Akin to their methylating counterparts, lysine acetyltransferases/histone acetyltransferases (KATs/HATs) catalyze the addition of acetyl groups to histone N-terminal lysine residues[40]. As mentioned previously, acetylation is believed to neutralize the charge of histone tails, thereby weakening histone-DNA and/or internucleosomal interactions[79]. The result is an increasingly destabilized nucleosome and chromatin structure, which allows nuclear factors such as RNA polymerase II to gain access to the DNA[40,80,81]. Comparatively, little work has been done in understanding the role of KATs/HATs in GBM; however, it has been identified that KAT6A is upregulated in the course of disease-promoting tumorigenesis through PIK3CA expression and the activation of the PI3K/AKT pathway[40,82,83]. Counteracting KATs/HATs are the histone deacetylases (HDACs), which are further subdivided into four classes based on yeast ortholog similarities. In GBM specifically, profiling experiments have highlighted significant increases in HDAC1, HDAC6, HDAC7, and HDAC10 expression and similar decreases in HDAC5 and HDAC11 expression as compared to normal brain tissue[40,84]. Research on individual HDACs has elucidated their contributory roles in GBM. Knockdown of HDAC1 in U87MG xenograft models correlated with a decrease in active extracellular signal-regulated kinase (ERK) and AKT, suggesting an interdependence between HDAC1 activity and the mitogen-activated protein kinase kinase (MEK)/ERK and PI3K/AKT pathways in GBM[85]. Moreover, HDACs have been associated with chemoradiation and TMZ resistance in GBM through their inhibition of DNA double-strand break repair[46,86,87]. Particularly, HDAC3 and HDAC1 overexpression in GBM is strongly associated with decreased overall survival in human patients, and its in vitro inhibition with RGFP109, a selective HDAC1 and HDAC3 co-inhibitor, led to greater TMZ potency in typically TMZ-resistant A172, U118, U251, and U87 cell lines[88].

Additionally, acetylated lysines serve as binding sites for bromodomain-containing proteins (such as BRD4), which play crucial roles in regulating gene expression. For instance, BRD4 has been shown to enrich regions of the genome characterized by high acetylation levels, and is implicated in maintaining stem-like properties in glioblastoma cells[89]. Additionally, BRD4 regulates the self-renewal and tumorigenic potential of glioma-initiating cells by directly interacting with the promoter region of key genes like Notch1, further demonstrating its importance in glioma biology[90]. This interaction highlights how acetylation not only influences chromatin accessibility but also enables the recruitment of specific transcriptional regulators, contributing to tumor progression and resistance to therapy.

Chromatin remodeling

Chromatin can be modified through various mechanisms involving histone modifiers, histone chaperones, and adenosine triphosphate (ATP)-dependent chromatin remodelers [Figure 1D]. These modifications alter chromatin conformation, which can either enhance or reduce its accessibility to transcription factors and the DNA repair and replication machinery. ATP-dependent chromatin remodelers, which include the switch/sucrose nonfermenting (SWI/SNF), Imitation Switch (ISWI), nucleosome remodeling and deacetylase (NuRD)/Mi-2/Chromodomain Helicase DNA-binding (CHD), INO80, and SWR1 complexes, are particularly influential in this process[91-94]. They orchestrate the repositioning of nucleosomes, the exchange of histone variants, and play a significant role in GBM drug resistance.

Research has shown that approximately 20% of cancers exhibit alterations in the SWI/SNF gene subunits. The SWI/SNF complex typically functions to slide and remove nucleosomes, thereby regulating chromatin structure to control gene transcription and facilitate DNA replication[95]. In GBM, GSCs are believed to drive sustained tumor growth, treatment resistance, and recurrence. A recent study by Di Giuseppe et al. investigated extracellular vesicles, particularly exosomes and microvesicles, secreted by GSCs. Their findings revealed that stimulation of the ionotropic receptor P2X7 in human GSCs led to significant proteomic changes in the released extracellular vesicles. Specifically, P2X7R activation was associated with increased glioma progression, cell aggressiveness, and migration, and it promoted the secretion of proteins that enhance therapeutic resistance, which include the chromatin remodeling protein RuvB-like 2[96].

It is thought that chromatin remodelers, especially the SWI/SNF complex, are crucial in maintaining these GSC populations. Evidence suggests that the catalytic bromodomain of SWI/SNF[97], BRG, is key to maintaining GSCs, with its inhibition sensitizing GSCs to TMZ and carmustine[98]. Another study by Ji et al. identified that the SWI/SNF[99] subunit Actin-like 6A (ACTL6A) is highly expressed in stem and progenitor cells and supports the progenitor state. ACTL6A promotes the proliferation, invasiveness, and migration of glioma cells by regulating the YAP/TAZ pathway[99]. Furthermore, modifications to PFI-3, an inhibitor of the BRG1 and BRM catalytic subunits of SWI/SNF, have been shown to increase sensitization to TMZ and bleomycin[100]. These findings underscore the importance of understanding the chromatin remodeling mechanisms in relation to treatment resistance in GBM.

Non-coding RNA

Non-coding RNAs (ncRNAs) are RNA molecules that are not directly translated into proteins. Still, ncRNAs are a major element of epigenetic mechanisms because of their ability to regulate gene expression. Abnormal ncRNA activity has long been associated with the regulation of tumor onset and progression for various cancers, including GBM, by acting as tumor-suppressing genes or oncogenes[101]. Importantly, ncRNAs have also been shown to play a critical role in GBM’s tendency to become resistant to therapeutic agents, such as TMZ chemotherapy. Several ncRNAs relevant to GBM have been identified through previous research, the dysregulation of which has already been shown to be significantly different both between GBM patients and healthy controls as well as between individuals before and after undergoing tumor resection[102,103]. These findings show that ncRNAs show promise both as biomarkers and as potential therapeutic targets.

There are strong associations between certain ncRNAs and different malignant characteristics of GBM, though GBM’s inherent heterogeneity means that there is some variability in whether particular ncRNAs are over- or underexpressed[102,103]. The ultimate impact of this dysregulation depends on the tumor microenvironment as a whole. In this context, ncRNAs have been shown to regulate angiogenesis, cell growth, cell cycle progression, apoptosis, tumor invasiveness, and immune evasion, as well as causing treatment resistance[104].

Regulatory ncRNAs are separated by size. Major categories include micro-RNA (miRNA, around 20 nucleotides), short interfering RNA (siRNA, between 20 and 25 nucleotides), long non-coding RNA (lncRNA, over 200 nucleotides), and circular RNA (circRNA, over 200 nucleotides)[105]. The defining difference between miRNA and siRNA is that a particular miRNA may have multiple epigenetic targets while being highly specific to one RNA sequence, while siRNAs are only partially complementary to their targets and are preferred for drug discovery[106,107]. In both cases, the ncRNA causes gene silencing by binding to a complementary segment of an mRNA molecule, prohibiting translation. lncRNAs modulate gene transcription and the stability of mRNAs, having the potential to serve several roles as scaffolds, decoys, or transcription signal transmitters[108]. circRNA and lncRNAs can act as “sponges” for miRNA, binding to them and thus inhibiting the action of miRNA. circRNA molecules are similar to lncRNAs in length but take on a circular structure because their 3’ end is covalently bonded to the 5’ end[109].

micro-RNA in glioblastoma treatment resistance

Abnormal regulation of miRNAs associated with GBM leads to cascading epigenetic effects, contributing to treatment resistance (summarized in Table 1). For instance, miR-152-3p typically targets DNMT1 and the methylation of NF2, making it important for glioma apoptosis[110]. In GBM, miR-152-3p is downregulated, lessening glioma apoptosis. Similarly, miR-29c indirectly targets MGMT that supports a positive response to TMZ, and is downregulated in GBM, leading to TMZ resistance[111] [Figure 2]. MiR-129-5p also targets DNMT3a and is downregulated in GBM, causing TMZ resistance and providing a good prognosis marker[112]. In contrast, MiR-10b-5p targets a TET2 pathway that induces tumor progression and stemness features and is upregulated in GBM[113].

The epigenetic mechanisms involved in the treatment resistance of glioblastoma

Figure 2. Non-coding RNAs involved in the development of temozolomide resistance in GBM. Under regular conditions, miR-29c binds to the mRNA of SP1 and induces its degradation. However, the downregulation of miR-29c in GBM leads to increased abundance in SP1 mRNA and elevated SP1 protein expression, which in turn induces the expression of the MGMT gene. Additionally, the overexpression of the lncRNA TALC leads to a decreased abundance of miR-20b-3p. This attenuates the inhibition that miR-20b-3p exerts over the expression of c-MET, resulting in c-MET overexpression and subsequent downstream signaling to augment MGMT expression. The increased MGMT expression induced by these mechanisms ultimately augments the GBM cells’ ability to resist treatment with TMZ. c-MET: Cellular mesenchymal-epithelial transition factor; GBM: glioblastoma; lncRNA: long non-coding RNA; mRNA: messenger RNA; MGMT: O6-methylguanine-DNA methyltransferase; miRNA: microRNA; SP1: specificity protein 1; TMZ, temozolomide.

Table 1

Summary of the non-coding RNAs, along with their molecular targets, that are involved in the treatment resistance of glioblastoma

RNAExpression pattern in GBMTargetResultReference
Micro RNA
miR-152-3pDownregulatedDNMT1Reduced apoptosis[110]
miR-29cDownregulatedMGMTTMZ resistance[111]
miR-129-5pDownregulatedDNMT3aTMZ resistance[112]
miR-10b-5pUpregulatedTET2Tumor progression and stemness[113]
miR-101-3pDownregulatedEZH2Proliferation, migration, and angiogenesis[115]
miR-22DownregulatedSIRT1Proliferation, motility, and invasion[117]
miR-9UpregulatedPTCH1TMZ resistance[118]
miR-223UpregulatedPAX6TMZ resistance[114,116]
miR-155-3pUpregulatedSix1TMZ resistance[119]
miR-93/193UpregulatedCyclin D1TMZ resistance[120]
Long non-coding RNA
AC016405.3DownregulatedmiR-19a-5p//TET2Tumor progression[121]
HOTAIRUpregulatedPRC2 and EZH2Cell cycle progression[122]
LINC00461UpregulatedmiR-485-3pCell cycle progression[123]
TALCUpregulated miR-20b-3p//MGMTTMZ resistance[124]
SNHG12Upregulated miR-129-5p//MAP-ERKTMZ resistance[125]

MiR-101-3p is downregulated in GBM, but this miRNA and its targets (EZH2 and H3K27me3) have already been associated with a therapeutic strategy that targets proliferation, migration, and angiogenesis[114-116]. MiR-22 targets SIRT1 and its downregulation allows for tumor cell proliferation, motility, and invasion[117].

Moreover, one major form of treatment resistance in GBM is resistance to TMZ. The most well-known predictor of TMZ resistance is MGMT. However, many miRNAs have been found to be directly involved in resistance to TMZ treatment, including miR-9 (targeting PTCH1)[118], miR-223 (targeting PAX6)[114,116], miR-155-3p (targeting Six1)[119], and miR-93/193 (targeting Cyclin D1)[120].

lncRNA in GBM treatment resistance

Similarly, lncRNA alterations have been widely implicated in the progression and treatment resistance of GBM (summarized in Table 1). For example, the downregulation of AC016405.3 undermines tumor suppression by disrupting DNA methylation and TET enzymes[121]. In this case, AC016405.3 works via miR-19a-5p to regulate TET2 and suppress tumors[121]. Conversely, HOTAIR is upregulated in GBM. HOTAIR targets chromatin-modifying complexes like PRC2 and regulates cell cycle progression through EZH2. Moreover, HOTAIR-targeting histone demethylase and LSD1 are upregulated cell cycle regulators that work through EZH2 to induce apoptosis[122]. LINC00461, another upregulated lncRNA, plays a role in GBM progression by targeting miR-485-3p which is critical to cell cycle regulation[123].

There are several lncRNAs relevant to treatment resistance, such as lncRNA-TALC and SOX2OT, both of which promote TMZ resistance when upregulated. LncRNA-TALC does this by promoting MGMT expression and, thus, TMZ resistance[124] [Figure 2]. Moreover, the upregulation of SNHG12 causes TMZ resistance through the targeting of DNA methylation of MGMT and even serves as a prognostic marker[125].

EPIGENETIC-BASED HETEROGENEITY AND PLASTICITY

GBM tumors are known to be among the most heterogeneous tumors classified by the 2021 World Health Organization (WHO) classification of central nervous system (CNS) tumors[126,127]. Heterogeneity refers to the existence of distinct subpopulations of cells within a tumor, each exhibiting diverse genotypes and phenotypes[126,128]. This heterogeneity seen in GBM largely contributes to its resistance to treatment. This heterogeneity is driven by the presence of a variety of epigenetic profiles that exist on the intratumoral and intertumoral levels.

When triggered by epigenetic modifications and the tumor microenvironment (TME), normal neuronal stem cells, which are normally destined to become oligodendrocytes, ependymal cells, or astrocytes, can develop into cancer stem cells (CSCs) that are referred to as GSCs[126,129]. One of the main features that characterizes these GSCs is their plasticity, which is defined as “morphological and functional flexibility”[129]. This flexibility allows GSCs to adapt to different microenvironments and persist even under harsh conditions and in the presence of therapeutic agents. In this context, plasticity also refers to a cell’s ability to interconvert from one cellular sub-state to another. This plasticity is mainly regulated by epigenetic modulations occurring in the genome, altering the expression of regulatory genes in GSCs, and driving the interchange between states in response to stimuli from the TME[126,127]. Herein, according to the plasticity model formulated to explain the heterogeneity within GBM and built upon the CSC model: “CSCs are the source of tumor initiation and heterogeneity…CSCs can interconvert between stem cell and differentiated states”[130].

Specifically, intratumoral heterogeneity (inside of a single tumor) is maintained by epigenetic modulations, which include the previously discussed methylation of the MGMT gene and decreased chromatin accessibility[130]. Additionally, intratumoral heterogeneity is seen within GBM at the level of cellular subtypes[131]. Specifically, of the four subtypes identified within GSCs, the proneural (PN-GSC) and mesenchymal (Mes-GSC) subtypes are the most studied[131]. The PN-GSC subtype is detected in secondary GBMs and young patients, while the mesenchymal (Mes-GSC) subtype is found more often in older patients and reveals a primary and secondary GBM origin[131]. Mes-GSCs are known to be more aggressive phenotypes which contribute to worse prognoses in comparison to PN-GSCs. Mes-GSCs exhibit a more proliferative phenotype due to their expression of CD44, YKL40, Lyn, WT1, and BCL2A1, which are associated with angiogenesis and enhanced cell survival by counteracting apoptosis, inflammation, and cell migration/invasion[129,130]. In contrast, PN-GSCs express CD133, EXH2, Olig2, Sox2, and Notch1. These genes are involved in homeostasis, the cell cycle, DNA repair, and the activation of Notch and PDGF receptor signaling pathways, which impart a better prognosis[132].

Compounded with genetic and epigenetic changes, the TME induces the dynamic transitions between GSCs[127]. In fact, heterogeneity also exists at the level of the TME and includes the hypoxic niche, the perivascular niche, and the invasive niche[133,134]. Herein, hypoxia is defined as a state in which oxygen is insufficient to maintain homeostasis[135]. Therefore, the hypoxic niche is characterized by low oxygen levels in brain tissues and the overexpression of HIFs. These factors increase the growth of HSCs and promote angiogenesis and chemoresistance[130]. Hypoxia offers phenotypic variability and functional characteristics to GSC subpopulations to promote adaptability to these hypoxic regions[133]. The invasive microenvironment, called the perivascular niche, is characterized by its collaborative network of cancer cells, endothelial cells, pericytes, astrocytes, and tumor-associated macrophages that regulate cell migration/invasion into surrounding healthy tissue[134].

Hence, GBM plasticity is attained through epigenetic modifications such as histone modification, DNA methylation, and chromatin remodeling in GBM cells[127]. The plasticity of GBM is characterized by transitions between the proneural (less active) and mesenchymal (more active) subtypes, as well as the ability to adapt to various microenvironments. For instance, after treatment with TMZ, GSCs have been observed to adapt toward drug-resistant states, forming populations of heterogeneous drug-resistant cells. Due to the epigenetic plasticity of these cells, they are more likely to continue alternating between stem cell progenitor states and more differentiated states, depending on the prevailing conditions and microenvironment.

THERAPEUTIC APPROACHES WITH EPIGENETIC TARGETS

This section explores the potential targeting strategies that can help attenuate the therapeutic resistance of GBM. Table 2 summarizes epigenetic modifiers that have progressed to clinical trials and describes the progress/results of these trials. [136,137]

Table 2

Summary of the clinical trials using epigenetic modifiers, either in isolation or in combination. Based on data from clinicaltrials.gov

AgentTrialsType/DesignInterventionStatus
Valproic AcidNCT00302159Phase IIVPA +/- TMZCompleted, published[137]
Abexinostat (PCI-24781)NCT05698524Phase IAbexinostat +/- TMZRecruiting
VorinostatNCT01266031Phase I/IIVorinostat +/- bevacizumabCompleted, results posted on clinicaltrials.gov
NCT02420613Phase IVorinostat and temsirolimus +/- radiation therapyActive, not recruiting
NCT00555399Phase I/IIVorinostat, isotretinoin and temozolomideTerminated, no sponsor funding for continuation of trial
NCT01189266Phase I/IIVorinostat and radiation therapyCompleted, results posted on clinicaltrials.gov
NCT00268385Phase IVorinostat and temozolomideActive, not recruiting
NCT01738646Phase IIVorinostat +/- bevacizumabCompleted, results posted on clinicaltrials.gov
NCT01378481Phase IVorinostat and fractionated stereotactic body radiation therapyTerminated
NCT00939991Phase I/IIVorinostat, bevacizumab and temozolomideCompleted, results posted on clinicaltrials.gov
NCT01236560Phase II/IIIVorinostat, temozolomide, or bevacizumab in combination with radiation therapy followed by bevacizumab and temozolomideCompleted, results posted on clinicaltrials.gov
NCT01110876Phase I/IIVorinostat, erlotinib and temozolomideTerminated, unanticipated toxicities
NCT00641706Phase IIVorinostat and bortezomibCompleted, results posted on clinicaltrials.gov
NCT00731731Phase I/IIVorinostat, temozolomide, and radiation therapyCompleted, results posted on clinicaltrials.gov
NCT00238303Phase IIVorinostatCompleted, results posted on clinicaltrials.gov
NCT03426891Phase IPembrolizumab and vorinostatCompleted, no results posted
NCT00762255Phase IVorinostat, bevacizumab & irinotecanCompleted, results posted[136]
NCT00994500Phase IVorinostat and bortezomibCompleted, no results posted
NCT00217412Phase IVorinostat +/- isotretinoinCompleted, no results posted
NCT01076530Phase IVorinostat and temozolomideCompleted, no results posted

Targeting DNA methylation

Therapeutic approaches targeting DNA methylation represent an encouraging avenue for the treatment of GBM. By reversing aberrant DNA methylation patterns associated with tumor suppressor gene silencing, these strategies aim to inhibit tumor growth, overcome therapeutic resistance, and improve outcomes for GBM patients.

DNMT inhibitors, such as azacytidine and decitabine, have been studied for their potential in treating GBM[138,139]. These compounds can counteract abnormal DNA hypermethylation commonly seen in GBM, resulting in the reactivation of tumor suppressor genes silenced by excessive promoter methylation[140]. Clinical trials are currently investigating the effectiveness of DNMT inhibitors, either alone or combined with other therapies, particularly TMZ, in managing GBM[141].

Moreover, innovative genome editing techniques like clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 hold great potential for precisely modifying DNA methylation patterns in GBM. The CRISPR/Cas9 system is a type II CRISPR system that consists of three key constituents: transactivating crRNA (tracrRNA), an endonuclease (Cas9), and CRISPR RNA (crRNA). When crRNA pairs with tracrRNA, they create a molecule known as single-guide RNA (sgRNA). This sgRNA guides Cas9 to bind to the target sequence and cleave foreign DNA[142]. Han et al. used the CRISPR /Cas9 system to knock out the MGMT gene, thus reducing resistance to TMZ[143]. Similarly, to achieve the same effect of reduced TMZ resistance, Tong et al. used CRISPR /Cas9 to knock out the MUC1 gene[144]. This targeted modification could potentially reverse tumor suppressor gene silencing at specific genomic sites, paving the way for more tailored therapies for GBM patients[142]. Nevertheless, further investigation is necessary to refine the delivery methods and enhance the specificity of DNA methylation editing tools for their clinical implementation in GBM.

Yao et al. introduced a groundbreaking approach termed Methylated Oligonucleotide-Directed DNA Methylation, demonstrating its efficacy in hepatocellular carcinomas. They synthesized a methylated oligonucleotide (MON) complementary to the IGF2 promoter, inducing hypermethylation and suppressing IGF2 mRNA expression. This technique involves phosphonothioate modification to replace cytosine residues with methyl groups, resulting in 5mC formation. The MON comprises an inactivating element (IE) and a guiding element (GE). The GE directs the IE to specific loci, where a modified hemimethylated CpG hairpin structure recruits DNMT1, initiating methylation. This process mimics a replication fork, facilitating continuous DNMT1-mediated methylation. Upon dissociation, the methylated strand pairs with the unmethylated strand, creating a second hemimethylated substrate for DNMT1 to methylate, ultimately inducing site-specific gene methylation[145]. In a similar fashion, small non-coding RNAs can also be used to direct methylation where desired. They can guide DNA methylation by forming RNA-DNA hybrids with complementary genomic sequences through microRNA (miRNA), small interfering RNA (siRNA), or piwi-interacting RNA (piRNA) mediated pathways resulting in recruitment of DNMTs[146].

Hence, identifying predictive biomarkers linked to DNA methylation patterns in GBM can help tailor treatment strategies to individual patients. Currently, the MGMT methylation status serves as a biomarker preceding standard chemoradiation. It is hypothesized that MGMT methylation status could also inform immunotherapy approaches. Evidence suggests that patients with MGMT-methylated tumors exhibit significantly enhanced survival rates compared to those with unmethylated MGMT in GBM vaccine therapy trials. Additionally, other potential biomarkers such as PTEN and IDH have been explored[147-149]. Utilizing biomarker-guided approaches enables the selection of patients who are likely to derive benefits from epigenetic therapies, thereby enhancing treatment outcomes while minimizing adverse effects. The integration of biomarker information into the clinical decision-making processes has the potential to refine the precision and efficacy of epigenetic therapies for GBM.

Another promising avenue involves targeting bromodomain and extraterminal (BET) proteins, which play a key role in regulating gene expression through their interaction with acetylated histones. Specifically, inhibition of BET proteins, such as BRD4, has been shown to sensitize glioblastoma cells to TMZ by downregulating the expression of MGMT, a DNA repair enzyme responsible for repairing TMZ-induced DNA damage. MGMT is often overexpressed in GBM and its high levels contribute to the resistance of tumor cells to TMZ therapy[150].

Targeting histone modification

Histone methylation and demethylation

Research into the therapeutic possibilities of histone lysine demethylase (KDM) has primarily developed over the last 15 years. In 2011, Singh et al.[151] established the in vitro efficacy of KDM1 inhibition in sensitizing GBM to HDAC inhibitors and subsequent interest has led to an increase in experimental and clinical trials of KDM1 inhibitors. Inhibiting KDM1A (LSD1) with either NCL-1 or NCD-38 has been shown to decrease neurosphere formation and cell viability in GSCs, while also promoting differentiation, increasing endoplasmic reticulum stress, inducing apoptosis, and enhancing the efficacy of TMZ[152,153]. Additionally, another KDM1 inhibitor, tranylcypromine (TCP), combined with vorinostat, has resulted in increased apoptosis in the U87 glioma cell line in vivo[151]. Clinically, many irreversible LSD1 inhibitors have undergone cancer therapy assessment, including TCP, Iadademstat (ORY-1001), Vafidemstat (ORY-2001), GSK-2879552, Bomedemstat (IMG-7289), and INCB059872[154]. Due to the enduring effects of irreversible inhibitors, many reversible LSD1 inhibitors have also been researched and documented, although only two of them (Seclidemstat (SP-2577) and Pulrodemstat (CC-90011)) have progressed to clinical trials. To date, only BEA-17, a degrader of LSD1 and its cofactor, coREST, has been granted the orphan drug designation by the United States. Food and Drug Administration (FDA) for use in GBM.

Due to the previously described effects of KDM2A, it is theorized that its inhibition could augment the immunotherapeutic response against GBM, although further research is required[46]. This is primarily due to a lack of mechanistic understanding of KDM2A function and uncertainty regarding the in vivo efficacy of its inhibition. In contrast, the prevalence of the KDM4 lysine demethylase family in clinical GBM has allowed efforts to yield great strides in mechanistic understanding. In 2018, Voon et al. described the inhibition of KDM4 caused by pediatric GBM H3.3 G34R mutants, and the resultant epigenetic dysregulation[155]. Subsequent studies conducted in 2021 by Lee et al.[156] revealed the particular significance of KDM4C in GBM tumorigenesis and p53 and c-MYC regulation. Specifically, KDM4C knockdown in U87 and U251 GBM cell lines has led to reduced colony formation, decreased c-MYC expression, and increased p53 levels. Furthermore, the inactivation of KDM5A through JIB 04, a pan-KDM inhibitor, or CP1445, a KDM5A-selective inhibitor, was found to efficiently restore TMZ sensitivity in adaptively resistant GBM cells[46,157,158]. When supplemented with the KDM6B inhibitor GSK-J4, JIB 04 was found to further increase potency against TMZ-resistant GBM cells[46,158].

Histone acetylation and deacetylation

Most clinical attempts at GBM treatment through epigenetic modification have been directed toward the interplay between acetylation and deacetylation, particularly with regard to HDAC inhibitors and their ability to sensitize GBM to chemotherapeutic and radiotherapeutic treatments. Notably, almost all patients with GBM are susceptible to recurrence–a quality attributed to poor blood-brain barrier (BBB) drug permeability, intratumor heterogeneity, intrinsic GBM treatment resistance, and non-specific agent toxicities[159,160]. However, there are several HDAC inhibitors capable of penetrating the BBB and serving in an anti-GBM role through the upregulation of p21Waf1/Cip1, a cell-cycle inhibitor[159]. For example, in vitro treatment with the pan-HDAC inhibitor, phenylbutyrate, suppressed the proliferation of the LN-229 GBM cell line[161]. Accordingly, the application of romidepsin produced synergistic results in the U251MG cell line by reducing the respective anti-apoptotic protein Bcl-2[159,162]. Additionally, HDAC inhibitors have proven capable of regulating GBM angiogenesis through inhibition of growth factors such as VEGF and EGFR or impeding upon vascular mimicry[159].

BET bromodomain inhibition (using HMBA) combined with MEK inhibition as a potential therapeutic strategy for GBM is also being explored. By targeting the BET proteins, which regulate key genes involved in tumor growth, and inhibiting the MEK-ERK signaling pathway, HMBA (BET bromodomain inhibitor) demonstrated enhanced antitumor effects compared to either approach alone. The synergistic combination led to reduced tumor cell proliferation, increased cell death, and suppression of survival pathways in preclinical models, suggesting that this dual inhibition could overcome some of the limitations of current therapies[163].

Preclinically, vorinostat, suberoylanilide hydroxamic acid (SAHA), Trichostatin A (TSA), and valproic acid (VPA) have significantly precipitated GSC autophagy, reduced proliferation, and stimulated differentiation[159,164,165]. In vitro studies conducted by Urdiciain et al. solidified the abilities of HDAC6-selective inhibitors such as ACY-1215, tubastatin A, and CAY10603 to overturn TMZ resistance in patient-derived T98G and LN405 GBM cell lines[166]. In clinical trials, there have been several studies analyzing the synergistic effects of HDAC inhibitors such as vorinostat, panobinostat, and VPA with TMZ, bevacizumab, and radiation; however, none have progressed past trial phase II[159]. Currently ongoing are studies attempting to analyze the efficacy of various HDAC inhibitors, such as Abexinostat (PCI-24781), in the treatment of recurrent GBM. While promising, the extensive use of HDAC inhibitors within the clinical setting is limited due to a generally poor understanding of the relationship between the toxicity and pharmacokinetic properties of these inhibitors. Furthermore, identification of patients likely to respond to HDAC inhibitor treatment is difficult due to GBM heterogeneity and epigenetic profiling, compounded by the challenges of converting the promising preclinical experiments into potential therapeutic regimens for clinical trials[159].

Targeting chromatin remodeling

The dysregulation of chromatin remodeling complexes contributes to the aberrant gene expression patterns and cellular behaviors that are observed in GBM. In a recent study by Sun et al., a GBM-specific epigenetic mechanism was discovered where the chromatin regulator bromodomain-contain protein 8 (BRD8) helped to maintain histone variant H2AZ at p53 targets, thereby enhancing chromatin accessibility and generating repressive chromatin state, preventing the tumor suppressor activity of p53. They found that targeting the BRD8 displaces H2AZ, allowing for the activation of p53 and leading to subsequent tumor suppression and cell cycle arrest in the TP53WT GBM cell line[167]. These findings suggest that targeting BRD8-mediated chromatin remolding in GBM presents a promising therapeutic strategy for overcoming the epigenetic barriers of p53 activation and potentially improving patient outcomes.

Further studies have also implicated the role of poly (ADP-ribose) polymerase (PARP) inhibitors as a potential therapeutic target in GBM. Previously, PARP1 has been implicated in the stabilization of DNA replication forks, single-stranded and double-stranded DNA breaks, as well as the modulation of chromatin structure[168,169]. Since PARP1 is a target of DNA damage machinery, it has been an attractive target to help generate synthetic lethality and potentiate the effects of chemotherapy and radiotherapy[170,171]. PARP inhibitors (PARPi), in particular Olaparib, Niraparib, and Rucaparib, have already gained approval from the FDA and have been shown to improve survival rates in patients with ovarian cancer, breast cancer, and prostate cancer, especially those with BRCA deficiencies[172-174]. PARPi have also been shown to play an important role in the modulation of chromatin structures that facilitate DNA repair as they will act to PARylate histone tails, resulting in a relaxed chromatin state and the removal of nucleosomes from the DNA[168,175]. As such, the usage of PARPi has recently garnered interest in the treatment of GBM. In the OPARTIC trial, a phase I dose escalation study of Olaparib in combination with TMZ in patients with relapsed GBM, the pharmacokinetics of Olaparib were investigated. The results showed that of the patients who received the drug, penetration was detected in 71/71 of the tumor core specimens, demonstrating its consistent ability to cross the BBB[176]. Therefore, the use of PARPi presents an exciting therapeutic approach with numerous other clinical trials currently evaluating their effects in the treatment of GBM.

Targeting non-coding RNAs

ncRNAs as biomarkers

Some ncRNAs could be used as biomarkers to predict the progression or presence of the disease; these include miRNa-21, miRNA-26a, miR-128, and miR-342, among others. These prognosis markers could be extremely helpful in the detection and diagnosis of GBM. Early detection could reduce patient mortality and prolong survival. Additionally, other ncRNAs predict the likelihood of GBM resistance to certain treatments. In the future, this could be helpful in the clinical setting when devising treatment plans. Studies by ParvizHamidi et al. on miRNA-21 and miRNA-26a and by Wang et al. on miR-128 and miR-342 identified those miRNAs as important biomarkers[102,103]. Specifically, expression was quantified in people without GBM and in GBM patients before and after surgery. Before surgery, there was a large difference in the expression of these RNAs between patients with GBM and healthy subjects; however, this difference between groups was ameliorated after surgical resection. This implies that the tumor was driving the overexpression of these miRNAs, and their presence returned to normal once the tumor burden was reduced. For patients with GBM, high expression of miR-1258, miR-935, and miR-128-3p was associated with better overall survival, and the same association was found for low expression of miR-542-3p and miR-221/222[102,103]. These patterns could have great clinical benefits-surveying ncRNA expression in a patient could provide insights into their prognosis and possible risk of treatment resistance. This could help inform treatment plans to maximize treatment efficacy based on the individual patient’s expression patterns.

ncRNA therapies and delivery systems

The sheer number of ncRNAs means that there are many possible epigenetic targets to be explored in the therapeutic context[177]. Herein, miR-124-2, miR-135a-2, and let-7i were found to be the most useful miRNAs with clinical relevance in a study screening around 600 different miRNAs. Alternatively, miR-17-3p, miR-340, and miR-222 are critical miRNAs that modulate GBM cell viability in vitro and in vivo[177]. These two lists of relevant miRNAs do not cover the full scope of possibilities for targets of therapeutic treatment. Some other targets include several miRNAs that have been found to promote GBM sensitivity to TMZ, such as miR-198 (MGMT), miR-101 (GSK-3beta), miR-1268a (ABCC1), miR-381(ABCG2, ABCC3, ABCC5), miR-137 (LRP6), miR-126-3p (SOX2), and miR-128-3p (c-Met, EMT)[178].

Other therapies utilize small-interfering RNA (siRNA) to target genes (such as VEGF, EGFR, STAT3, and ETDL1) that promote GBM progression and downregulate them, suppressing their oncogenic effect[104,106]. Other siRNAs include Livin-siRNA, which enhances TMZ sensitivity through the inhibition of MRP1, and Hsp27-siRNA, which induces apoptosis. To improve delivery efficacy, nanoparticles (NPs) are being utilized for delivery formulations. Such nanoparticles include iron oxide nanoparticles, liposomes, and other compounds specifically developed to deliver a particular siRNA[179].

ncRNAs work cooperatively, and this property can be leveraged through specific combinations to enhance their overall effect. For example, the miR-Combo formulated by Bassot et al. used a combination of miR-17-3p, miR-222, and miR-340, which significantly decreased cell viability compared to non-targeting scrambled miRNA[180].

Delivery systems

The overarching challenge in designing these therapies lies in delivering these treatments to the targets in the brain. Some obstacles to delivery include the breakdown of therapeutic agents in the blood, poor molecular stability, clearance by the kidneys, and the inability to penetrate relevant membranes. The most striking challenge in the context of GBM is the existence of the BBB[181]. Even if a drug can get through the BBB, it must also pass through the cell membrane to elicit any effect.

Several drug-delivery systems are being studied to improve the efficacy of GBM treatment. Some of these methods include the use of nanoparticles (NPs), which include inorganic NPs, polymeric NPs (PNPs), and lipid-based NPs (LNPs)[104]. NP delivery systems can provide both controlled drug release and tissue specificity while protecting miRNAs from systemic degradation, ensuring the payload remains intact. The use of synthetic RNA can increase bioavailability[106], and using siRNA rather than miRNA can counteract cytotoxicity due to target specificity. Other possible delivery systems include stem cell-derived exosomes, bacterial toxins, and viral vectors to improve cell membrane penetration and successful delivery[104].

CONCLUSIONS AND FUTURE DIRECTIONS

The alterations in DNA methylation status, histone methylation and acetylation status, chromatin architecture, and expression of non-coding RNAs all play critical roles in modifying gene expression in GBM and promoting a resistant phenotype. It is imperative to study the intricate interactions between the epigenetic profiles of GBM cells and their ability to adapt to different therapeutics, along with the significant intratumoral and intertumoral heterogeneity that governs these interactions. Achieving a better understanding of these mechanisms and processes can inspire novel avenues to overcome treatment resistance and augment the efficacy of existing and emerging therapeutics. Despite a long history of investigation into epigenetic control and rewiring, further research is still required to safely and effectively navigate the transformation of these mechanisms into translatable therapies and tractable targets that can be integrated into the clinical management of GBM and offer superior outcomes to patients diagnosed with this disease. Nevertheless, it is important to note that tumorigenesis is the result of the combination of many epigenetic events. Additionally, the vast heterogeneity that is present at the intratumoral and intertumoral levels further complicates the issue. Small molecule targeting of one subset of epigenetic regulation may not lead to complete tumor eradication. The development of effective therapeutic modalities will require consideration of this complex interplay between various epigenetic events and signaling pathways that drive GBM progression.

DECLARATIONS

Acknowledgments

Figures 1 and 2 and the Graphical Abstract were created using BioRender.

Author Contributions

Conceptualization: Slika H, Raj D, Tyler B

Methodology: Shahani A, Slika H, Elbeltagy A, Lee A, Peters C, Dotson T, Raj D

Software: Shahani A, Slika H

Investigation: Shahani A, Slika H, Elbeltagy A, Lee A, Peters C, Dotson T

Data curation: Shahani A, Slika H, Elbeltagy A, Lee A, Peters C, Dotson T

Writing - original draft preparation: Shahani A, Slika H, Elbeltagy A, Lee A, Peters C, Dotson T

Writing - review and editing: Shahani A, Slika H, Raj D, Tyler B

Visualization: Shahani A, Slika H

Supervision: Slika H, Tyler B

Project administration: Slika H, Tyler B

Funding acquisition: Tyler B

All authors have read and agreed to the published version of the manuscript.

Financial support and sponsorship

This research was generously supported by The Khatib Foundation, and The Florence D. and Irving J. Sherman MD Charitable Foundation Trust.

Conflicts of Interest

Tyler B has research funding from NIH. Therapeutics A Inc. has licensed one of her patents, and she holds stock in Peabody Pharmaceuticals* (*including equity or options). The other authors declared that there are no conflicts of interest.

Availability of data and materials

Not applicable.

Ethical approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Copyright

© The Author(s) 2025.

REFERENCES

1. Ostrom QT, Price M, Neff C, et al. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2016-2020. Neuro Oncol. 2023;25:iv1-iv99.

2. Torrisi F, D'Aprile S, Denaro S, et al. Epigenetics and metabolism reprogramming interplay into glioblastoma: novel insights on immunosuppressive mechanisms. Antioxidants. 2023;12:220.

3. Rezaee A, Tehrany PM, Tirabadi FJ, et al. Epigenetic regulation of temozolomide resistance in human cancers with an emphasis on brain tumors: function of non-coding RNAs. Biomed Pharmacother. 2023;165:115187.

4. Ghannad-Zadeh K, Ivanova A, Wu M, et al. One-carbon-mediated purine synthesis underlies temozolomide resistance in glioblastoma. Cell Death Dis. 2024;15:774.

5. Pervjakova N, Kasela S, Morris AP, et al. Imprinted genes and imprinting control regions show predominant intermediate methylation in adult somatic tissues. Epigenomics. 2016;8:789-99.

6. van Eijk KR, de Jong S, Boks MP, et al. Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects. BMC Genomics. 2012;13:636.

7. Maunakea AK, Nagarajan RP, Bilenky M, et al. Conserved role of intragenic DNA methylation in regulating alternative promoters. Nature. 2010;466:253-7.

8. Karpf AR, Matsui S. Genetic disruption of cytosine DNA methyltransferase enzymes induces chromosomal instability in human cancer cells. Cancer Res. 2005;65:8635-9.

9. Guo JU, Su Y, Shin JH, et al. Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain. Nat Neurosci. 2014;17:215-22.

10. Schaffner SL, Wassouf Z, Hentrich T, Nuesch-Germano M, Kobor MS, Schulze-Hentrich JM. Distinct impacts of alpha-synuclein overexpression on the hippocampal epigenome of mice in standard and enriched environments. Neurobiol Dis. 2023;186:106274.

11. Perzel Mandell KA, Eagles NJ, Wilton R, et al. Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk. Nat Commun. 2021;12:5251.

12. Lorente A, Mueller W, Urdangarín E, et al. RASSF1A, BLU, NORE1A, PTEN and MGMT expression and promoter methylation in gliomas and glioma cell lines and evidence of deregulated expression of de novo DNMTs. Brain Pathol. 2009;19:279-92.

13. Shukla S, Pia Patric IR, Thinagararjan S, et al. A DNA methylation prognostic signature of glioblastoma: identification of NPTX2-PTEN-NF-κB nexus. Cancer Res. 2013;73:6563-73.

14. Liang WW, Lu RJ, Jayasinghe RG, et al. Clinical Proteomic Tumor Analysis Consortium. Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin. Cancer Cell. 2023;41:1567-1585.e7.

15. Carlos-Escalante JA, Mejía-Pérez SI, Soto-Reyes E, et al. Deep DNA sequencing of MGMT, TP53 and AGT in mexican astrocytoma patients identifies an excess of genetic variants in women and a predictive biomarker. J Neurooncol. 2023;161:165-74.

16. Zhou J, Tong F, Zhao J, et al. Identification of the E2F1-RAD51AP1 axis as a key factor in MGMT-methylated GBM TMZ resistance. Cancer Biol Med. 2023;20:385-400.

17. Barciszewska AM, Gurda D, Głodowicz P, Nowak S, Naskręt-Barciszewska MZ. A new epigenetic mechanism of temozolomide action in glioma cells. PLoS One. 2015;10:e0136669.

18. Sareen H, Ma Y, Becker TM, Roberts TL, de Souza P, Powter B. Molecular biomarkers in glioblastoma: a systematic review and meta-analysis. Int J Mol Sci. 2022;23:8835.

19. Chen X, Zhang M, Gan H, et al. A novel enhancer regulates MGMT expression and promotes temozolomide resistance in glioblastoma. Nat Commun. 2018;9:2949.

20. Shin YJ, Sa JK, Lee Y, et al. PIP4K2A as a negative regulator of PI3K in PTEN-deficient glioblastoma. J Exp Med. 2019;216:1120-34.

21. Singh SK, Wang Y, Habib A, et al. TP53-PTEN-NF1 depletion in human brain organoids produces a glioma phenotype in vitro. Front Oncol. 2023;13:1279806.

22. Wiencke JK, Zheng S, Jelluma N, et al. Methylation of the PTEN promoter defines low-grade gliomas and secondary glioblastoma. Neuro Oncol. 2007;9:271-9.

23. Brun M, Jain S, Monckton EA, Godbout R. Nuclear factor I represses the notch effector HEY1 in glioblastoma. Neoplasia. 2018;20:1023-37.

24. Li Q, Wang J, Ma X, Wang M, Zhou L. POFUT1 acts as a tumor promoter in glioblastoma by enhancing the activation of notch signaling. J Bioenerg Biomembr. 2021;53:621-32.

25. Kopan R, Ilagan MX. The canonical notch signaling pathway: unfolding the activation mechanism. Cell. 2009;137:216-33.

26. Bazzoni R, Bentivegna A. Role of notch signaling pathway in glioblastoma pathogenesis. Cancers. 2019;11:292.

27. Saito N, Aoki K, Hirai N, et al. Effect of notch expression in glioma stem cells on therapeutic response to chemo-radiotherapy in recurrent glioblastoma. Brain Tumor Pathol. 2015;32:176-83.

28. Yu JB, Jiang H, Zhan RY. Aberrant notch signaling in glioblastoma stem cells contributes to tumor recurrence and invasion. Mol Med Rep. 2016;14:1263-8.

29. Wang Y, Sun Q, Geng R, et al. Notch intracellular domain regulates glioblastoma proliferation through the notch1 signaling pathway. Oncol Lett. 2021;21:303.

30. Tsung AJ, Guda MR, Asuthkar S, et al. Methylation regulates HEY1 expression in glioblastoma. Oncotarget. 2017;8:44398-409.

31. Götze S, Wolter M, Reifenberger G, Müller O, Sievers S. Frequent promoter hypermethylation of Wnt pathway inhibitor genes in malignant astrocytic gliomas. Int J Cancer. 2010;126:2584-93.

32. Lambiv WL, Vassallo I, Delorenzi M, et al. The Wnt inhibitory factor 1 (WIF1) is targeted in glioblastoma and has a tumor suppressing function potentially by induction of senescence. Neuro Oncol. 2011;13:736-47.

33. Horiguchi K, Tomizawa Y, Tosaka M, et al. Epigenetic inactivation of RASSF1A candidate tumor suppressor gene at 3p21.3 in brain tumors. Oncogene. 2003;22:7862-5.

34. Jayaram H, Hoelper D, Jain SU, et al. S-adenosyl methionine is necessary for inhibition of the methyltransferase G9a by the lysine 9 to methionine mutation on histone H3. Proc Natl Acad Sci U S A. 2016;113:6182-7.

35. Wilson JR. Determination of histone methyltransferase structure by crystallography. In: margueron R, Holoch D, editors. Histone methyltransferases. New York: Springer US; 2022. pp. 137-47.

36. Chinot OL, Barrié M, Fuentes S, et al. Correlation between O6-methylguanine-DNA methyltransferase and survival in inoperable newly diagnosed glioblastoma patients treated with neoadjuvant temozolomide. J Clin Oncol. 2007;25:1470-5.

37. Zhang J, Chen L, Han L, et al. EZH2 is a negative prognostic factor and exhibits pro-oncogenic activity in glioblastoma. Cancer Lett. 2015;356:929-36.

38. Vinchure OS, Sharma V, Tabasum S, et al. Polycomb complex mediated epigenetic reprogramming alters TGF-β signaling via a novel EZH2/miR-490/TGIF2 axis thereby inducing migration and EMT potential in glioblastomas. Int J Cancer. 2019;145:1254-69.

39. Yin Y, Qiu S, Li X, Huang B, Xu Y, Peng Y. EZH2 suppression in glioblastoma shifts microglia toward M1 phenotype in tumor microenvironment. J Neuroinflammation. 2017;14:220.

40. McCornack C, Woodiwiss T, Hardi A, Yano H, Kim AH. The function of histone methylation and acetylation regulators in GBM pathophysiology. Front Oncol. 2023;13:1144184.

41. Weiss VH, McBride AE, Soriano MA, Filman DJ, Silver PA, Hogle JM. The structure and oligomerization of the yeast arginine methyltransferase, Hmt1. Nat Struct Biol. 2000;7:1165-71.

42. Fischle W, Wang Y, Jacobs SA, Kim Y, Allis CD, Khorasanizadeh S. Molecular basis for the discrimination of repressive methyl-lysine marks in histone H3 by polycomb and HP1 chromodomains. Genes Dev. 2003;17:1870-81.

43. Blanc RS, Richard S. Arginine methylation: the coming of age. Mol Cell. 2017;65:8-24.

44. Walport LJ, Hopkinson RJ, Chowdhury R, et al. Arginine demethylation is catalysed by a subset of JmjC histone lysine demethylases. Nat Commun. 2016;7:11974.

45. Farrelly LA, Thompson RE, Zhao S, et al. Histone serotonylation is a permissive modification that enhances TFIID binding to H3K4me3. Nature. 2019;567:535-9.

46. Young D, Guha C, Sidoli S. The role of histone H3 lysine demethylases in glioblastoma. Cancer Metastasis Rev. 2023;42:445-54.

47. Ye L, Gu L, Wang Y, et al. Identification of TMZ resistance-associated histone post-translational modifications in glioblastoma using multi-omics data. CNS Neurosci Ther. 2024;30:e14649.

48. Schneider J, Bajwa P, Johnson FC, Bhaumik SR, Shilatifard A. Rtt109 is required for proper H3K56 acetylation: a chromatin mark associated with the elongating RNA polymerase II. J Biol Chem. 2006;281:37270-4.

49. Schuettengruber B, Martinez AM, Iovino N, Cavalli G. Trithorax group proteins: switching genes on and keeping them active. Nat Rev Mol Cell Biol. 2011;12:799-814.

50. Gallo M, Ho J, Coutinho FJ, et al. A tumorigenic MLL-homeobox network in human glioblastoma stem cells. Cancer Res. 2013;73:417-27.

51. Kim E, Kim M, Woo DH, et al. Phosphorylation of EZH2 activates STAT3 signaling via STAT3 methylation and promotes tumorigenicity of glioblastoma stem-like cells. Cancer Cell. 2013;23:839-52.

52. Chen YN, Hou SQ, Jiang R, Sun JL, Cheng CD, Qian ZR. EZH2 is a potential prognostic predictor of glioma. J Cell Mol Med. 2021;25:925-36.

53. Zhang Y, Yu X, Chen L, Zhang Z, Feng S. EZH2 overexpression is associated with poor prognosis in patients with glioma. Oncotarget. 2017;8:565-73.

54. Suvà ML, Riggi N, Janiszewska M, et al. EZH2 is essential for glioblastoma cancer stem cell maintenance. Cancer Res. 2009;69:9211-8.

55. Fan TY, Wang H, Xiang P. et al. Int J Clin Exp Pathol. 2014;7:6662-70.

56. Yue Q, Wang Z, Shen Y, et al. Histone H3K9 lactylation confers temozolomide resistance in glioblastoma via LUC7L2-mediated MLH1 intron retention. Adv Sci. 2024;11:e2309290.

57. Kaur E, Nair J, Ghorai A, et al. Inhibition of SETMAR-H3K36me2-NHEJ repair axis in residual disease cells prevents glioblastoma recurrence. Neuro Oncol. 2020;22:1785-96.

58. Venneti S, Thompson CB. Metabolic modulation of epigenetics in gliomas. Brain Pathol. 2013;23:217-21.

59. Shankar SR, Bahirvani AG, Rao VK, Bharathy N, Ow JR, Taneja R. G9a, a multipotent regulator of gene expression. Epigenetics. 2013;8:16-22.

60. Tao H, Li H, Su Y, et al. Histone methyltransferase G9a and H3K9 dimethylation inhibit the self-renewal of glioma cancer stem cells. Mol Cell Biochem. 2014;394:23-30.

61. Bao L, Chen Y, Lai HT, et al. Methylation of hypoxia-inducible factor (HIF)-1α by G9a/GLP inhibits HIF-1 transcriptional activity and cell migration. Nucleic Acids Res. 2018;46:6576-91.

62. Melcher M, Schmid M, Aagaard L, Selenko P, Laible G, Jenuwein T. Structure-function analysis of SUV39H1 reveals a dominant role in heterochromatin organization, chromosome segregation, and mitotic progression. Mol Cell Biol. 2000;20:3728-41.

63. Schultz DC, Ayyanathan K, Negorev D, Maul GG, Rauscher FJ 3rd. SETDB1: a novel KAP-1-associated histone H3, lysine 9-specific methyltransferase that contributes to HP1-mediated silencing of euchromatic genes by KRAB zinc-finger proteins. Genes Dev. 2002;16:919-32.

64. Spyropoulou A, Gargalionis A, Dalagiorgou G, et al. Role of histone lysine methyltransferases SUV39H1 and SETDB1 in gliomagenesis: modulation of cell proliferation, migration, and colony formation. Neuromolecular Med. 2014;16:70-82.

65. Sepsa A, Levidou G, Gargalionis A, et al. Emerging role of linker histone variant H1x as a biomarker with prognostic value in astrocytic gliomas. A multivariate analysis including trimethylation of H3K9 and H4K20. PLoS One. 2015;10:e0115101.

66. Feoli A, Iannelli G, Cipriano A, et al. Identification of a protein arginine methyltransferase 7 (PRMT7)/protein arginine methyltransferase 9 (PRMT9) inhibitor. J Med Chem. 2023;66:13665-83.

67. Husmann D, Gozani O. Histone lysine methyltransferases in biology and disease. Nat Struct Mol Biol. 2019;26:880-9.

68. Li XX, Xu JK, Su WJ, et al. The role of KDM4A-mediated histone methylation on temozolomide resistance in glioma cells through the HUWE1/ROCK2 axis. Kaohsiung J Med Sci. 2024;40:161-74.

69. Zhong C, Tao B, Li X, et al. HOXA-AS2 contributes to regulatory T cell proliferation and immune tolerance in glioma through the miR-302a/KDM2A/JAG1 axis. Cell Death Dis. 2022;13:160.

70. Wang L, Lang B, Zhou Y, Ma J, Hu K. Up-regulation of miR-663a inhibits the cancer stem cell-like properties of glioma via repressing the KDM2A-mediated TGF-β/SMAD signaling pathway. Cell Cycle. 2021;20:1935-52.

71. Liau BB, Sievers C, Donohue LK, et al. Adaptive chromatin remodeling drives glioblastoma stem cell plasticity and drug tolerance. Cell Stem Cell. 2017;20:233-246.e7.

72. Banasavadi-Siddegowda YK, Welker AM, An M, et al. PRMT5 as a druggable target for glioblastoma therapy. Neuro Oncol. 2018;20:753-63.

73. Han X, Li R, Zhang W, et al. Expression of PRMT5 correlates with malignant grade in gliomas and plays a pivotal role in tumor growth in vitro. J Neurooncol. 2014;118:61-72.

74. Holmes B, Benavides-Serrato A, Saunders JT, et al. The protein arginine methyltransferase PRMT5 confers therapeutic resistance to mTOR inhibition in glioblastoma. J Neurooncol. 2019;145:11-22.

75. Wang S, Tan X, Yang B, et al. The role of protein arginine-methyltransferase 1 in gliomagenesis. BMB Rep. 2012;45:470-5.

76. Banasavadi-Siddegowda YK, Russell L, Frair E, et al. PRMT5-PTEN molecular pathway regulates senescence and self-renewal of primary glioblastoma neurosphere cells. Oncogene. 2017;36:263-74.

77. Sachamitr P, Ho JC, Ciamponi FE, et al. PRMT5 inhibition disrupts splicing and stemness in glioblastoma. Nat Commun. 2021;12:979.

78. Liao Y, Luo Z, Lin Y, et al. PRMT3 drives glioblastoma progression by enhancing HIF1A and glycolytic metabolism. Cell Death Dis. 2022;13:943.

79. Kim YZ. Altered histone modifications in gliomas. Brain Tumor Res Treat. 2014;2:7-21.

80. Kouzarides T. Chromatin modifications and their function. Cell. 2007;128:693-705.

81. Shabane PS, Onufriev AV. Significant compaction of H4 histone tail upon charge neutralization by acetylation and its mimics, possible effects on chromatin structure. J Mol Biol. 2021;433:166683.

82. Lv D, Jia F, Hou Y, et al. Histone acetyltransferase KAT6A upregulates PI3K/AKT signaling through TRIM24 binding. Cancer Res. 2017;77:6190-201.

83. Vakoc CR, Sachdeva MM, Wang H, Blobel GA. Profile of histone lysine methylation across transcribed mammalian chromatin. Mol Cell Biol. 2006;26:9185-95.

84. Dali-Youcef N, Froelich S, Moussallieh FM, et al. Gene expression mapping of histone deacetylases and co-factors, and correlation with survival time and 1H-HRMAS metabolomic profile in human gliomas. Sci Rep. 2015;5:9087.

85. Li S, Chen X, Mao L, et al. Histone deacetylase 1 promotes glioblastoma cell proliferation and invasion via activation of PI3K/AKT and MEK/ERK signaling pathways. Brain Res. 2018;1692:154-62.

86. Diss E, Nalabothula N, Nguyen D, Chang E, Kwok Y, Carrier F. Vorinostat(SAHA) promotes hyper-radiosensitivity in wild type p53 human glioblastoma cells. J Clin Oncol Res. 2014:2.

87. Kim JH, Shin JH, Kim IH. Susceptibility and radiosensitization of human glioblastoma cells to trichostatin A, a histone deacetylase inhibitor. Int J Radiat Oncol Biol Phys. 2004;59:1174-80.

88. Li ZY, Li QZ, Chen L, et al. Histone deacetylase inhibitor RGFP109 overcomes temozolomide resistance by blocking NF-κB-dependent transcription in glioblastoma cell lines. Neurochem Res. 2016;41:3192-205.

89. Das ND, Chang JC, Hon CC, et al. Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties. BMC Genomics. 2023;24:574.

90. Tao Z, Li X, Wang H, et al. BRD4 regulates self-renewal ability and tumorigenicity of glioma-initiating cells by enrichment in the notch1 promoter region. Clin Transl Med. 2020;10:e181.

91. Flaus A, Martin DM, Barton GJ, Owen-Hughes T. Identification of multiple distinct Snf2 subfamilies with conserved structural motifs. Nucleic Acids Res. 2006;34:2887-905.

92. Grüne T, Brzeski J, Eberharter A, et al. Crystal structure and functional analysis of a nucleosome recognition module of the remodeling factor ISWI. Mol Cell. 2003;12:449-60.

93. Tran HG, Steger DJ, Iyer VR, Johnson AD. The chromo domain protein chd1p from budding yeast is an ATP-dependent chromatin-modifying factor. EMBO J. 2000;19:2323-31.

94. Schubert HL, Wittmeyer J, Kasten MM, et al. Structure of an actin-related subcomplex of the SWI/SNF chromatin remodeler. Proc Natl Acad Sci U S A. 2013;110:3345-50.

95. Chen K, Yuan J, Sia Y, Chen Z. Mechanism of action of the SWI/SNF family complexes. Nucleus. 2023;14:2165604.

96. Di Giuseppe F, Ricci-Vitiani L, Pallini R, et al. Changes induced by P2X7 receptor stimulation of human glioblastoma stem cells in the proteome of extracellular vesicles isolated from their secretome. Cells. 2024;13:571.

97. Hodges C, Kirkland JG, Crabtree GR. The many roles of BAF (mSWI/SNF) and PBAF complexes in cancer. Cold Spring Harb Perspect Med. 2016;6:a026930.

98. Ganguly D, Sims M, Cai C, Fan M, Pfeffer LM. Chromatin remodeling factor BRG1 regulates stemness and chemosensitivity of glioma initiating cells. Stem Cells. 2018;36:1804-15.

99. Ji J, Xu R, Zhang X, et al. Actin like-6A promotes glioma progression through stabilization of transcriptional regulators YAP/TAZ. Cell Death Dis. 2018;9:517.

100. Yang C, He Y, Wang Y, et al. Next-generation bromodomain inhibitors of the SWI/SNF complex enhance DNA damage and cell death in glioblastoma. J Cell Mol Med. 2023;27:2770-81.

101. Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007;302:1-12.

102. ParvizHamidi M, Haddad G, Ostadrahimi S, et al. Circulating miR-26a and miR-21 as biomarkers for glioblastoma multiform. Biotechnol Appl Biochem. 2019;66:261-5.

103. Wang Q, Li P, Li A, et al. Plasma specific miRNAs as predictive biomarkers for diagnosis and prognosis of glioma. J Exp Clin Cancer Res. 2012;31:97.

104. Mekala JR, Adusumilli K, Chamarthy S, Angirekula HSR. Novel sights on therapeutic, prognostic, and diagnostics aspects of non-coding RNAs in glioblastoma multiforme. Metab Brain Dis. 2023;38:1801-29.

105. Hombach S, Kretz M. Non-coding RNAs: Classification, biology and functioning. In: Slaby O, Calin GA, editors. Non-coding RNAs in colorectal cancer. Cham: Springer International Publishing; 2016. pp. 3-17.

106. Sato K, Osaka E, Fujiwara K, et al. miRNA218 targets multiple oncogenes and is a therapeutic target for osteosarcoma. Oncol Rep. 2022;47:92.

107. Castro-Muñoz LJ, Ulloa EV, Sahlgren C, Lizano M, De La Cruz-Hernández E, Contreras-Paredes A. Modulating epigenetic modifications for cancer therapy (review). Oncol Rep. 2023;49:59.

108. Wang Z, Han Y, Li Q, Wang B, Ma J. LncRNA DLGAP1-AS1 accelerates glioblastoma cell proliferation through targeting miR-515-5p/ROCK1/NFE2L1 axis and activating Wnt signaling pathway. Brain Behav. 2021;11:e2321.

109. Zheng Q, Bao C, Guo W, et al. Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs. Nat Commun. 2016;7:11215.

110. Sun J, Tian X, Zhang J, et al. Regulation of human glioma cell apoptosis and invasion by miR-152-3p through targeting DNMT1 and regulating NF2 : MiR-152-3p regulate glioma cell apoptosis and invasion. J Exp Clin Cancer Res. 2017;36:100.

111. Xiao S, Yang Z, Qiu X, et al. miR-29c contribute to glioma cells temozolomide sensitivity by targeting O6-methylguanine-DNA methyltransferases indirectely. Oncotarget. 2016;7:50229-38.

112. Gu X, Gong H, Shen L, Gu Q. MicroRNA-129-5p inhibits human glioma cell proliferation and induces cell cycle arrest by directly targeting DNMT3A. Am J Transl Res. 2018;10:2834-47.

113. Du W, Chen D, Wei K, et al. MiR-10b-5p impairs TET2-mediated inhibition of PD-L1 transcription thus promoting immune evasion and tumor progression in glioblastoma. Tohoku J Exp Med. 2023;260:205-14.

114. Han L, Li Z, Jiang Y, Jiang Z, Tang L. SNHG29 regulates miR-223-3p/CTNND1 axis to promote glioblastoma progression via Wnt/β-catenin signaling pathway. Cancer Cell Int. 2019;19:345.

115. Li L, Shao MY, Zou SC, Xiao ZF, Chen ZC. MiR-101-3p inhibits EMT to attenuate proliferation and metastasis in glioblastoma by targeting TRIM44. J Neurooncol. 2019;141:19-30.

116. Subaiea GM, Syed RU, Afsar S, et al. Non-coding RNAs (ncRNAs) and multidrug resistance in glioblastoma: therapeutic challenges and opportunities. Pathol Res Pract. 2024;253:155022.

117. Chen H, Lu Q, Fei X, Shen L, Jiang D, Dai D. miR-22 inhibits the proliferation, motility, and invasion of human glioblastoma cells by directly targeting SIRT1. Tumour Biol. 2016;37:6761-8.

118. Munoz JL, Rodriguez-Cruz V, Rameshwar P. High expression of miR-9 in CD133+ glioblastoma cells in chemoresistance to temozolomide. J Cancer Stem Cell Res. 2015;3:e1003.

119. Chen G, Chen Z, Zhao H. MicroRNA-155-3p promotes glioma progression and temozolomide resistance by targeting Six1. J Cell Mol Med. 2020;24:5363-74.

120. Munoz JL, Walker ND, Mareedu S, et al. Cycling quiescence in temozolomide resistant glioblastoma cells is partly explained by microRNA-93 and -193-mediated decrease of cyclin D. Front Pharmacol. 2019;10:134.

121. Ren S, Xu Y. AC016405.3, a novel long noncoding RNA, acts as a tumor suppressor through modulation of TET2 by microRNA-19a-5p sponging in glioblastoma. Cancer Sci. 2019;110:1621-32.

122. Ahmadov U, Picard D, Bartl J, et al. The long non-coding RNA HOTAIRM1 promotes tumor aggressiveness and radiotherapy resistance in glioblastoma. Cell Death Dis. 2021;12:885.

123. Wu AC, Yang WB, Chang KY, et al. HDAC6 involves in regulating the lncRNA-microRNA-mRNA network to promote the proliferation of glioblastoma cells. J Exp Clin Cancer Res. 2022;41:47.

124. Wu P, Cai J, Chen Q, et al. Lnc-TALC promotes O6-methylguanine-DNA methyltransferase expression via regulating the c-Met pathway by competitively binding with miR-20b-3p. Nat Commun. 2019;10:2045.

125. Lu C, Wei Y, Wang X, et al. DNA-methylation-mediated activating of lncRNA SNHG12 promotes temozolomide resistance in glioblastoma. Mol Cancer. 2020;19:28.

126. Patel AP, Tirosh I, Trombetta JJ, et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science. 2014;344:1396-401.

127. Yabo YA, Niclou SP, Golebiewska A. Cancer cell heterogeneity and plasticity: a paradigm shift in glioblastoma. Neuro Oncol. 2022;24:669-82.

128. Roy-Camille R, Huten D, Gagna G, Laredo JD. Malignant bone tumors and giant cell tumors of the sacrum in adults. Rev Chir Orthop Reparatrice Appar Mot. 1987;73:82-91.

129. Safa AR, Saadatzadeh MR, Cohen-Gadol AA, Pollok KE, Bijangi-Vishehsaraei K. Glioblastoma stem cells (GSCs) epigenetic plasticity and interconversion between differentiated non-GSCs and GSCs. Genes Dis. 2015;2:152-63.

130. Lauko A, Lo A, Ahluwalia MS, Lathia JD. Cancer cell heterogeneity & plasticity in glioblastoma and brain tumors. Semin Cancer Biol. 2022;82:162-75.

131. Gill BJ, Pisapia DJ, Malone HR, et al. MRI-localized biopsies reveal subtype-specific differences in molecular and cellular composition at the margins of glioblastoma. Proc Natl Acad Sci U S A. 2014;111:12550-5.

132. Bhat KPL, Balasubramaniyan V, Vaillant B, et al. Mesenchymal differentiation mediated by NF-κB promotes radiation resistance in glioblastoma. Cancer Cell. 2013;24:331-46.

133. Heddleston JM, Li Z, McLendon RE, Hjelmeland AB, Rich JN. The hypoxic microenvironment maintains glioblastoma stem cells and promotes reprogramming towards a cancer stem cell phenotype. Cell Cycle. 2009;8:3274-84.

134. McCoy MG, Nyanyo D, Hung CK, et al. Endothelial cells promote 3D invasion of GBM by IL-8-dependent induction of cancer stem cell properties. Sci Rep. 2019;9:9069.

135. Bhutta BS, Alghoula F, Berim I. Hypoxia. In: StatPearls. Treasure Island (FL): 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK482316/. [Last accessed on 21 Dec 2024].

136. Chinnaiyan P, Chowdhary S, Potthast L, et al. Phase I trial of vorinostat combined with bevacizumab and CPT-11 in recurrent glioblastoma. Neuro Oncol. 2012;14:93-100.

137. Krauze AV, Myrehaug SD, Chang MG, et al. A phase 2 study of concurrent radiation therapy, temozolomide, and the histone deacetylase inhibitor valproic acid for patients with glioblastoma. Int J Radiat Oncol Biol Phys. 2015;92:986-92.

138. Turcan S, Fabius AW, Borodovsky A, et al. Efficient induction of differentiation and growth inhibition in IDH1 mutant glioma cells by the DNMT Inhibitor decitabine. Oncotarget. 2013;4:1729-36.

139. Kratzsch T, Kuhn SA, Joedicke A, et al. Treatment with 5-azacitidine delay growth of glioblastoma xenografts: a potential new treatment approach for glioblastomas. J Cancer Res Clin Oncol. 2018;144:809-19.

140. Wu Q, Berglund AE, Macaulay RJ, Etame AB. Epigenetic activation of TUSC3 sensitizes glioblastoma to temozolomide independent of MGMT promoter methylation status. Int J Mol Sci. 2023;24:15179.

141. Romani M, Pistillo MP, Banelli B. Epigenetic targeting of glioblastoma. Front Oncol. 2018;8:448.

142. Wang J, Yang J, Li D, Li J. Technologies for targeting DNA methylation modifications: basic mechanism and potential application in cancer. Biochim Biophys Acta Rev Cancer. 2021;1875:188454.

143. Han X, Abdallah MOE, Breuer P, et al. Downregulation of MGMT expression by targeted editing of DNA methylation enhances temozolomide sensitivity in glioblastoma. Neoplasia. 2023;44:100929.

144. Tong F, Zhao JX, Fang ZY, et al. MUC1 promotes glioblastoma progression and TMZ resistance by stabilizing EGFRvIII. Pharmacol Res. 2023;187:106606.

145. Yao X, Hu JF, Daniels M, et al. A methylated oligonucleotide inhibits IGF2 expression and enhances survival in a model of hepatocellular carcinoma. J Clin Invest. 2003;111:265-73.

146. Sharma RK, Calderon C, Vivas-Mejia PE. Targeting non-coding RNA for glioblastoma therapy: the challenge of overcomes the blood-brain barrier. Front Med Technol. 2021;3:678593.

147. Zhao J, Chen AX, Gartrell RD, et al. Immune and genomic correlates of response to anti-PD-1 immunotherapy in glioblastoma. Nat Med. 2019;25:462-9.

148. Bleeker FE, Atai NA, Lamba S, et al. The prognostic IDH1R132 mutation is associated with reduced NADP+-dependent IDH activity in glioblastoma. Acta Neuropathol. 2010;119:487-94.

149. Lynes JP, Nwankwo AK, Sur HP, et al. Biomarkers for immunotherapy for treatment of glioblastoma. J Immunother Cancer. 2020;8:e000348.

150. Tancredi A, Gusyatiner O, Bady P, et al. BET protein inhibition sensitizes glioblastoma cells to temozolomide treatment by attenuating MGMT expression. Cell Death Dis. 2022;13:1037.

151. Singh MM, Johnson B, Venkatarayan A, et al. Preclinical activity of combined HDAC and KDM1A inhibition in glioblastoma. Neuro Oncol. 2015;17:1463-73.

152. Sareddy GR, Viswanadhapalli S, Surapaneni P, Suzuki T, Brenner A, Vadlamudi RK. Novel KDM1A inhibitors induce differentiation and apoptosis of glioma stem cells via unfolded protein response pathway. Oncogene. 2017;36:2423-34.

153. Alejo S, Palacios BE, Venkata PP, et al. Lysine-specific histone demethylase 1A (KDM1A/LSD1) inhibition attenuates DNA double-strand break repair and augments the efficacy of temozolomide in glioblastoma. Neuro Oncol. 2023;25:1249-61.

154. Fang Y, Liao G, Yu B. LSD1/KDM1A inhibitors in clinical trials: advances and prospects. J Hematol Oncol. 2019;12:129.

155. Voon HPJ, Udugama M, Lin W, et al. Inhibition of a K9/K36 demethylase by an H3.3 point mutation found in paediatric glioblastoma. Nat Commun. 2018;9:3142.

156. Lee DH, Kim GW, Yoo J, et al. Histone demethylase KDM4C controls tumorigenesis of glioblastoma by epigenetically regulating p53 and c-Myc. Cell Death Dis. 2021;12:89.

157. Banelli B, Daga A, Forlani A, et al. Small molecules targeting histone demethylase genes (KDMs) inhibit growth of temozolomide-resistant glioblastoma cells. Oncotarget. 2017;8:34896-910.

158. Romani M, Daga A, Forlani A, Pistillo MP, Banelli B. Targeting of histone demethylases KDM5A and KDM6B inhibits the proliferation of temozolomide-resistant glioblastoma cells. Cancers. 2019;11:878.

159. Chen R, Zhang M, Zhou Y, et al. The application of histone deacetylases inhibitors in glioblastoma. J Exp Clin Cancer Res. 2020;39:138.

160. Ellis HP, Greenslade M, Powell B, Spiteri I, Sottoriva A, Kurian KM. Current challenges in glioblastoma: intratumour heterogeneity, residual disease, and models to predict disease recurrence. Front Oncol. 2015;5:251.

161. Kusaczuk M, Krętowski R, Bartoszewicz M, Cechowska-Pasko M. Phenylbutyrate-a pan-HDAC inhibitor-suppresses proliferation of glioblastoma LN-229 cell line. Tumour Biol. 2016;37:931-42.

162. Sawa H, Murakami H, Ohshima Y, et al. Histone deacetylase inhibitors such as sodium butyrate and trichostatin a inhibit vascular endothelial growth factor (VEGF) secretion from human glioblastoma cells. Brain Tumor Pathol. 2002;19:77-81.

163. Funck-Brentano E, Vizlin-Hodzic D, Nilsson JA, Nilsson LM. BET bromodomain inhibitor HMBA synergizes with MEK inhibition in treatment of malignant glioma. Epigenetics. 2021;16:54-63.

164. Chiao MT, Cheng WY, Yang YC, Shen CC, Ko JL. Suberoylanilide hydroxamic acid (SAHA) causes tumor growth slowdown and triggers autophagy in glioblastoma stem cells. Autophagy. 2013;9:1509-26.

165. Alvarez AA, Field M, Bushnev S, Longo MS, Sugaya K. The effects of histone deacetylase inhibitors on glioblastoma-derived stem cells. J Mol Neurosci. 2015;55:7-20.

166. Urdiciain A, Erausquin E, Meléndez B, Rey JA, Idoate MA, Castresana JS. Tubastatin A, an inhibitor of HDAC6, enhances temozolomideinduced apoptosis and reverses the malignant phenotype of glioblastoma cells. Int J Oncol. 2019;54:1797-808.

167. Sun X, Klingbeil O, Lu B, et al. BRD8 maintains glioblastoma by epigenetic reprogramming of the p53 network. Nature. 2023;613:195-202.

168. Schreiber V, Amé JC, Dollé P, et al. Poly(ADP-ribose) polymerase-2 (PARP-2) is required for efficient base excision DNA repair in association with PARP-1 and XRCC1. J Biol Chem. 2002;277:23028-36.

169. Chaudhuri A, Nussenzweig A. The multifaceted roles of PARP1 in DNA repair and chromatin remodelling. Nat Rev Mol Cell Biol. 2017;18:610-21.

170. Woodhouse BC, Dianova II, Parsons JL, Dianov GL. Poly(ADP-ribose) polymerase-1 modulates DNA repair capacity and prevents formation of DNA double strand breaks. DNA Repair. 2008;7:932-40.

171. Sim HW, Galanis E, Khasraw M. PARP inhibitors in glioma: a review of therapeutic opportunities. Cancers. 2022;14:1003.

172. Smith AJB, Apple A, Hugo A, Haggerty A, Ko EM. Prior authorization for FDA-approved PARP inhibitors in ovarian cancer. Gynecol Oncol Rep. 2024;52:101335.

173. de Bono J, Mateo J, Fizazi K, et al. Olaparib for metastatic castration-resistant prostate cancer. N Engl J Med. 2020;382:2091-102.

174. Robson ME, Im SA, Senkus E, et al. OlympiAD extended follow-up for overall survival and safety: olaparib versus chemotherapy treatment of physician's choice in patients with a germline BRCA mutation and HER2-negative metastatic breast cancer. Eur J Cancer. 2023;184:39-47.

175. Messner S, Altmeyer M, Zhao H, et al. PARP1 ADP-ribosylates lysine residues of the core histone tails. Nucleic Acids Res. 2010;38:6350-62.

176. Hanna C, Kurian KM, Williams K, et al. Pharmacokinetics, safety, and tolerability of olaparib and temozolomide for recurrent glioblastoma: results of the phase I OPARATIC trial. Neuro Oncol. 2020;22:1840-50.

177. McDonald MF, Hossain A, Momin EN, et al. Tumor-specific polycistronic miRNA delivered by engineered exosomes for the treatment of glioblastoma. Neuro Oncol. 2024;26:236-50.

178. Elshaer SS, Abulsoud AI, Fathi D, et al. miRNAs role in glioblastoma pathogenesis and targeted therapy: signaling pathways interplay. Pathol Res Pract. 2023;246:154511.

179. Mirzaei S, Mahabady MK, Zabolian A, et al. Small interfering RNA (siRNA) to target genes and molecular pathways in glioblastoma therapy: current status with an emphasis on delivery systems. Life Sci. 2021;275:119368.

180. Bassot A, Dragic H, Haddad SA, et al. Identification of a miRNA multi-targeting therapeutic strategy in glioblastoma. Cell Death Dis. 2023;14:630.

181. Straehla JP, Hajal C, Safford HC, et al. A predictive microfluidic model of human glioblastoma to assess trafficking of blood-brain barrier-penetrant nanoparticles. Proc Natl Acad Sci U S A. 2022;119:e2118697119.

Cite This Article

Review
Open Access
The epigenetic mechanisms involved in the treatment resistance of glioblastoma
Aanya Shahani, ... Betty TylerBetty Tyler

How to Cite

Shahani, A.; Slika, H.; Elbeltagy, A.; Lee, A.; Peters, C.; Dotson, T.; Raj, D.; Tyler, B. The epigenetic mechanisms involved in the treatment resistance of glioblastoma. Cancer. Drug. Resist. 2025, 8, 12. http://dx.doi.org/10.20517/cdr.2024.157

Download Citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click on download.

Export Citation File:

Type of Import

Tips on Downloading Citation

This feature enables you to download the bibliographic information (also called citation data, header data, or metadata) for the articles on our site.

Citation Manager File Format

Use the radio buttons to choose how to format the bibliographic data you're harvesting. Several citation manager formats are available, including EndNote and BibTex.

Type of Import

If you have citation management software installed on your computer your Web browser should be able to import metadata directly into your reference database.

Direct Import: When the Direct Import option is selected (the default state), a dialogue box will give you the option to Save or Open the downloaded citation data. Choosing Open will either launch your citation manager or give you a choice of applications with which to use the metadata. The Save option saves the file locally for later use.

Indirect Import: When the Indirect Import option is selected, the metadata is displayed and may be copied and pasted as needed.

About This Article

Special Issue

© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Data & Comments

Data

Views
206
Downloads
47
Citations
0
Comments
0
0

Comments

Comments must be written in English. Spam, offensive content, impersonation, and private information will not be permitted. If any comment is reported and identified as inappropriate content by OAE staff, the comment will be removed without notice. If you have any queries or need any help, please contact us at [email protected].

0
Download PDF
Share This Article
Scan the QR code for reading!
See Updates
Contents
Figures
Related
Cancer Drug Resistance
ISSN 2578-532X (Online)

Portico

All published articles will preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles will preserved here permanently:

https://www.portico.org/publishers/oae/