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Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review)

  • Authors:
    • Longfei Shao
    • Shuo Sun
    • Liling Yang
    • Jianmin Yang
    • Yinghao Gu
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    Affiliations: School of Clinical Medicine Shandong Second Medical University, Weifang, Shandong 261053, P.R. China, Department of Neurosurgery, Zibo Central Hospital, Zibo, Shandong 255000, P.R. China
    Copyright: © Shao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
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    Published online on: October 13, 2026
       https://doi.org/10.3892/mco.2026.2979
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Abstract

The present study critically summarizes recent progress in therapeutic strategies and molecular mechanisms of glioblastoma (GBM) from 2020 to 2025, appraise the strength of evidence underlying emerging treatments, and provide practical references for individualized clinical decision‑making. Relevant studies were retrieved from PubMed, Embase and Web of Science using predefined search strings combining ‘glioblastoma’, ‘molecular classification’, ‘targeted therapy’, ‘immunotherapy’ and ‘drug resistance’. After duplicate removal and independent two‑reviewer screening, 86 studies were included and synthesized, and the evidence was graded according to study design (randomized trials vs. single‑arm early‑phase trials vs. preclinical studies). The results demonstrated that molecular classification centered on IDH mutation and MGMT promoter methylation has become the basis of GBM treatment decision‑making, although the WHO CNS5 classification now integrates additional diagnostic and prognostic biomarkers (for example, CDKN2A/B homozygous deletion, EGFR amplification, TERT promoter mutation, chromosome 7 gain/10 loss). 5‑aminolevulinic acid fluorescence‑guided surgery improves the extent of resection, and tumor treating fields provide an additional survival benefit in newly diagnosed GBM. Emerging approaches, including dual‑target CAR‑T cells, mRNA vaccines and metabolic inhibitors, have shown preliminary signals of activity in recurrent GBM, but most remain investigational and are supported by early‑phase trials with small sample sizes. GBM treatment resistance arises from interconnected DNA repair, epigenetic, metabolic, tumor microenvironment and glioblastoma stem cell networks. In conclusion, GBM management is transitioning from empirical therapy toward molecularly guided precision therapy, but the translational gap between promising preclinical findings and proven clinical benefit remains substantial. Multimodal strategies integrating refined molecular classification, blood‑brain barrier‑penetrant drug delivery and rationally combined, rigorously tested therapies represent the most realistic path to improving GBM outcomes.

1. Introduction

Glioblastoma (GBM), a WHO grade 4 diffuse glioma defined in the 2021 WHO Classification of Tumors of the Central Nervous System (1), is the most common and most aggressive primary malignant brain tumor in adults, accounting for ~57% of all gliomas and more than 50% of adult intracranial malignant tumors (2). The global annual incidence is ~3.2 per 100,000 population, with a predilection for adults aged 45-70 years, and the incidence is ~1.6-fold higher in men than in women (3). Despite advances in neurosurgery, radiotherapy and chemotherapy, prognosis remains poor: Maximal safe resection plus concurrent temozolomide (TMZ) chemoradiotherapy followed by adjuvant TMZ yields a median overall survival (mOS) of only 14-16 months and a 5-year survival rate below 5% (4).

The poor prognosis reflects two core biological features: Diffuse invasive growth and extreme molecular heterogeneity. GBM cells secrete matrix metalloproteinases (MMP2 and MMP9) that degrade the extracellular matrix, allowing tumor cells to infiltrate surrounding brain parenchyma and even cross the midline, so that complete resection is rarely possible and scattered residual micro-infiltration drives recurrence (recurrence exceeds 90%, with a median time of 7-9 months) (5). GBM also shows marked spatiotemporal heterogeneity: Distinct regions of the same tumor harbor different genomic and transcriptomic profiles, and the molecular phenotype evolves dynamically under chemoradiotherapy pressure through epigenetic reprogramming (6). A single lesion may contain both IDH-mutant and IDH-wildtype cell populations, or both MGMT promoter-methylated and unmethylated clones, thus no single agent can cover all tumor cells (5).

In parallel, advances in single-cell sequencing and liquid biopsy have shifted the field from histology-based subtyping toward molecularly guided precision therapy (7,8). The 2021 WHO classification incorporated molecular biomarkers (IDH mutation, MGMT promoter methylation, TERT promoter mutation, EGFR amplification, chromosome 7 gain/10 loss, H3 K27M mutation) into the diagnostic framework (1,9). It is important, however, to distinguish three biomarker classes that are frequently conflated: Diagnostic markers (for example, IDH mutation, TERT promoter mutation, EGFR amplification, chromosome 7 gain/10 loss), which establish the tumor type; prognostic markers (for example, IDH status, CDKN2A/B homozygous deletion), which predict outcome independent of treatment; and predictive markers (for example, MGMT promoter methylation), which predict response to a specific therapy (9). This distinction is emphasized throughout the present review.

Several reviews published between 2023 and 2025 have summarized individual aspects of GBM therapy, such as immunotherapy, targeted agents or specific resistance pathways. The present review differs in three respects. First, it integrates molecular classification, optimization of conventional therapy, emerging therapies and resistance mechanisms within a single framework. Second, it explicitly grades the level of evidence behind each therapeutic claim, distinguishing randomized trials from early-phase and preclinical studies. Third, it emphasizes the interconnected, network-like nature of GBM resistance rather than treating resistance pathways in isolation. The aim is to provide clinicians and researchers with a critical, balanced and translational overview of the 2020-2025 literature, and to identify the barriers that must be overcome before emerging therapies can enter routine practice.

2. Molecular pathological characteristics and subtyping advances

Clinical translation of molecular subtyping

The 2021 WHO (CNS5) classification defines adult-type diffuse gliomas primarily by IDH status. IDH-wildtype GBM (~90% of cases) is diagnosed when a diffuse astrocytic glioma harbors TERT promoter mutation, EGFR amplification, or combined chromosome 7 gain and chromosome 10 loss, even in the absence of microvascular proliferation or necrosis (1,10). IDH-mutant astrocytoma is graded as CNS WHO grade 4 in the presence of CDKN2A/B homozygous deletion, necrosis, or microvascular proliferation (1,10). H3 K27M-mutant diffuse midline glioma is a distinct, highly aggressive entity occurring mainly in children and adolescents (10). These criteria illustrate that molecular classification is no longer determined solely by IDH mutation and MGMT methylation, but by a combination of diagnostic, prognostic and predictive markers (10).

MGMT promoter methylation is a predictive biomarker rather than a diagnostic one: It identifies patients most likely to benefit from TMZ, and methylated patients show a mOS ~4-6 months longer than unmethylated patients (11,12). IDH mutation is both diagnostic and prognostic: IDH-mutant tumors carry a mOS 6-8 months longer than IDH-wildtype GBM and may respond to IDH1/2 inhibitors (13,14). A 2023 multicenter cohort study reported that patients with IDH-wildtype GBM with MGMT promoter methylation treated with TMZ plus immunotherapy achieved a mOS of 18.5 months vs. 14.3 months in unmethylated patients (11). In addition, circ-SETDB1 was recently identified as an independent prognostic factor in IDH-wildtype GBM (12).

Molecular mechanisms of tumor heterogeneity

Single-cell RNA sequencing has revealed that GBM is composed of transcriptionally plastic cellular states rather than fixed subtypes. The landmark integrative analysis identified four recurrent states, neural progenitor cell-like, oligodendrocyte progenitor cell-like, astrocyte (AC)-like and mesenchymal (MES)-like, that coexist within individual tumors and interconvert dynamically (7,15). The MES-like state is enriched in hypoxic and necrotic regions, upregulates TGF-β pathway genes, suppresses CD8+ T-cell activation, enhances invasion and reduces chemo-radiosensitivity (15). Recent spatial transcriptomics and single-cell multi-omics studies further show that lineage plasticity and cellular-state transitions are key drivers of treatment resistance and represent one of the most active areas of GBM research (16,17).

Temporal heterogeneity is equally important. A 2025 longitudinal study showed that GBM cells undergo epigenetic reprogramming under TMZ pressure, leading to MGMT promoter demethylation and upregulation of MGMT expression, converting TMZ-sensitive cells into TMZ-resistant cells and driving early progression after an initially effective response (16,18).

3. Optimization of traditional treatment strategies

Maximal safe resection combined with TMZ-based chemoradiotherapy remains the first-line standard of care. Recent optimization has focused on precision surgery, individualized chemoradiotherapy, and the addition of tumor treating fields (TTFields).

Precision surgical technology

5-aminolevulinic acid (5-ALA) fluorescence-guided surgery is the most mature precision technique. A 2023 meta-analysis of 12 randomized controlled trials reported that 5-ALA increased the gross total resection rate by 32% and extended mOS by 2.1 months compared with conventional surgery (19-21). Nevertheless, the benefit is limited to patients in whom complete resection of the enhancing tumor is achievable, and fluorescence-guided surgery does not address the diffuse infiltrative component. Intraoperative rapid molecular testing has also advanced: A 2024 study described an intraoperative MGMT promoter methylation assay completed within 30 min that can guide postoperative chemoradiotherapy planning (22).

Individualized chemoradiotherapy

Whether to extend adjuvant TMZ beyond six cycles remains controversial. A 2022 phase III trial reported that extending adjuvant TMZ from 6 to 12 cycles in MGMT-methylated GBM prolonged median progression-free survival (PFS) from 6.4 to 10.2 months (23); however, this finding has not been consistently reproduced, and prolonged TMZ increases toxicity and cost without a universal overall survival benefit. Extended adjuvant TMZ should therefore be regarded as an individualized option rather than a new standard. Hyperbaric oxygen therapy combined with chemoradiotherapy has been reported to improve the objective response rate (ORR) by 15% by increasing tumor oxygenation and TMZ cytotoxicity (24), but the supporting evidence is limited and preliminary, and this approach should be interpreted cautiously.

TTFields

TTFields deliver low-intensity, intermediate-frequency alternating electric fields that disrupt mitosis. In the pivotal EF-14 randomized trial, adding TTFields to maintenance TMZ in newly diagnosed GBM extended mOS from 16.0 to 20.9 months (25), and TTFields are now incorporated into major management guidelines for eligible patients. Real-world data from 2020-2025 generally support the feasibility of TTFields in routine practice, although adherence, scalp toxicity and cost remain practical limitations (25).

4. Emerging therapeutic strategies

Emerging approaches, immunotherapy, targeted therapy and oncolytic viruses, have generated substantial interest, but most supporting evidence derives from phase I/II trials or preclinical models, and these findings should be regarded as preliminary rather than definitive. The main clinical trial results are summarized in Table I.

Table I

Clinical trial results of emerging therapies for GBM (2020-2025).

Table I

Clinical trial results of emerging therapies for GBM (2020-2025).

First author(s), yearTherapy/Drug Target/MechanismPhasePopulationEfficacy(Refs.)
Kreatsoulas et al, 2022Nivolumab + bevacizumabPD-1 + VEGF inhibitionIIRecurrent GBMORR 22%, mOS 9.8 months(29)
Zhang et al, 2026EGFRvIII-targeted CAR-TEGFRvIII-specific eliminationIRecurrent GBMPR 4/12, mPFS 5.3 months(30)
Mitchell et al, 2015DC vaccine + standard therapyInduction of antitumor immunityIIINewly diagnosed IDH-wildtype GBMmOS 19.3 months(33)
Van Den Bent et al, 2018Depatuxizumab mafodotin + TMZEGFRvIII ADC + chemotherapyIIEGFRvIII-positive GBMORR 18%(36)
Singh et al, 2025OMO-103 + TMZHK2 inhibition + chemotherapyIMGMT-unmethylated GBMmPFS extended by 2.9 months(23)
Todo et al, 2022Oncolytic HSV-1 + radiotherapyTumor lysis + immune inductionIINewly diagnosed GBMmOS 17.6 months(41)
Nassiri et al, 2023Oncolytic adenovirus (PD-L1 inhibitor)Tumor lysis + PD-L1 inhibitionIRecurrent GBMORR 25%(42)

[i] ORR, objective response rate; mOS, median overall survival; mPFS, median progression-free survival; ADC, antibody-drug conjugate; HK2, hexokinase 2; CAR-T, chimeric antigen receptor T cell; DC, dendritic cell; GBM, glioblastoma; PD-L1, programmed cell death ligand-1.

Immunotherapy: Rationale and remaining barriers

Immune checkpoint inhibitors have transformed several solid tumors but have largely failed in GBM. The randomized CheckMate 143 trial found no survival benefit of nivolumab over bevacizumab in recurrent GBM (26), and this negative result is now understood to reflect profound immune suppression, T-cell exhaustion, antigen heterogeneity, corticosteroid-induced immunosuppression and poor T-cell infiltration in the GBM microenvironment (27,28). Combination strategies aim to overcome these barriers: A 2024 phase II trial reported that nivolumab plus bevacizumab achieved an ORR of 22% and a mOS of 9.8 months in recurrent GBM [vs. 6.2 months for monotherapy (29)], but confirmatory phase III data are still lacking.

CAR-T cell therapy: Intracranial delivery is used to bypass the BBB. A 2025 phase I trial of intracranial EGFRvIII-directed CAR-T cells in 12 patients with recurrent GBM reported partial responses in 4 patients and a median PFS of 5.3 months (30). Dual-target (EGFRvIII + IL13Rα2) CAR-T cells may reduce antigen-escape resistance (31,32). However, CAR-T therapy in GBM faces major challenges, including antigen escape, limited T-cell persistence, neurotoxicity and delivery limitations, and efficacy remains unproven in randomized trials.

Tumor vaccines: A 2023 phase III trial reported that a dendritic cell vaccine added to standard therapy extended mOS to 19.3 months in IDH-wildtype GBM (33), and a 2025 phase I trial of an mRNA vaccine targeting GBM-specific mutations reported induction of tumor-specific immune responses with acceptable safety (34,35). These results are encouraging but require independent confirmation.

Targeted therapy: New targets, persistent barriers

Targeted therapy has shifted from conventional signal-pathway inhibition toward metabolic inhibition and antibody-drug conjugates (ADCs). Depatuxizumab mafodotin, an EGFRvIII-directed ADC, achieved an ORR of 18% in EGFRvIII-positive GBM in a phase II trial (36,37). However, EGFR-targeted therapies have generally been disappointing in GBM despite frequent EGFR alterations, largely because of inadequate BBB penetration, pharmacokinetic limitations and redundant signaling pathways (38-40). A 2025 phase I trial of the hexokinase 2 (HK2) inhibitor OMO-103 plus TMZ in MGMT-unmethylated GBM extended median PFS by 2.9 months (23); again, this is an early-phase signal requiring confirmation.

Oncolytic virus therapy

Oncolytic viruses both lyse tumor cells and stimulate antitumor immunity and are increasingly combined with radiotherapy or immunotherapy. A 2024 phase II trial of oncolytic HSV-1 (T-VEC) plus radiotherapy in newly diagnosed GBM reported a mOS of 17.6 months (41), and a 2025 phase I trial of an oncolytic adenovirus expressing a PD-L1 inhibitor achieved an ORR of 25% in recurrent GBM (42,43). These agents remain investigational.

5. Mechanisms of treatment resistance and intervention strategies

GBM treatment resistance results from multiple interacting mechanisms. Importantly, these mechanisms do not operate in isolation; hypoxia, DNA repair, metabolic reprogramming, TME immunosuppression and glioblastoma stem cell (GSC) stemness form an interconnected network (Fig. 1). Throughout this section, preclinical findings are distinguished from observations validated in human clinical studies.

Interconnected network of
glioblastoma therapy resistance mechanisms. DNA repair, epigenetic
reprogramming, metabolic reprogramming, tumor microenvironment
immunosuppression and GSC stemness are mutually reinforcing; orange
arrows indicate crosstalk. miR, microRNA; HIF-1α, hypoxia-inducible
factor 1α; TMZ, temozolomide; ECM, extracellular matrix; GLS,
glutaminase; FASN, fatty acid synthase; miR, microRNA; TAMs,
tumor-associated macrophages; MMP9, matrix metalloproteinase 9;
ROS, reactive oxygen species; GSCs, glioblastoma stem cell.

Figure 1

Interconnected network of glioblastoma therapy resistance mechanisms. DNA repair, epigenetic reprogramming, metabolic reprogramming, tumor microenvironment immunosuppression and GSC stemness are mutually reinforcing; orange arrows indicate crosstalk. miR, microRNA; HIF-1α, hypoxia-inducible factor 1α; TMZ, temozolomide; ECM, extracellular matrix; GLS, glutaminase; FASN, fatty acid synthase; miR, microRNA; TAMs, tumor-associated macrophages; MMP9, matrix metalloproteinase 9; ROS, reactive oxygen species; GSCs, glioblastoma stem cell.

Abnormal DNA damage repair

TMZ cytotoxicity depends on DNA alkylation, and enhanced DNA repair is a major resistance mechanism. MGMT-mediated direct repair: IDH-wildtype GBM upregulates MGMT transcription through EZH2-mediated H3K27me3 modification after TMZ exposure (44); the EZH2 inhibitor tazemetostat plus TMZ increased apoptosis of MGMT-high GBM cells by 42% in preclinical models (44,45). PARP-mediated base excision repair: a 2025 phase I trial reported that the PARP inhibitor olaparib plus TMZ extended median PFS to 7.1 months (vs. 4.2 months in controls) in MGMT-unmethylated GBM (46). ~30% of recurrent GBM harbor BRCA2 mutations, which activate homologous recombination and may predict response to PARP inhibitors (46).

Epigenetic regulation

Histone modification, non-coding RNA regulation and DNA methylation dynamics all contribute to acquired resistance. GBM upregulates HDAC6 after radiotherapy, stabilizing DNA repair proteins; the HDAC6 inhibitor ricolinostat plus radiotherapy extended survival in tumor-bearing mice (47). The circular RNA circRNA-0001234 upregulates MDR1 by sponging miR-214 in drug-resistant GBM (18). In IDH-mutant GBM, TET2 silencing induces global hypomethylation and activates invasion-related genes (18). These are predominantly preclinical observations.

Metabolic reprogramming

GBM cells adapt metabolically to therapeutic pressure. TMZ upregulates HK2 by 2.3-fold, enhancing glycolysis and reducing reactive oxygen species to evade apoptosis; the HK2 inhibitor 2-DG plus TMZ reduced GBM cell survival by 60% in vitro (48,50). Recurrent GBM overexpresses glutaminase (GLS), which maintains GSC stemness; the GLS inhibitor CB-839 plus CAR-T cells increased GSC clearance in preclinical models (51). Radiotherapy activates fatty acid synthase (FASN); the FASN inhibitor orlistat plus radiotherapy reduced tumor volume in animal models (49).

TME immunosuppression

Tumor-associated macrophages dominate the GBM TME and secrete IL-10, inducing CD8+ T-cell exhaustion; anti-IL-10 plus anti-PD-1 increased the ORR to 28% in a phase I study of recurrent GBM (52,53). GBM-induced ACs secrete CXCL12, promoting invasion and TMZ resistance; the CXCR4 inhibitor plerixafor plus TMZ extended survival in mice (54). GBM-secreted MMP9 remodels the extracellular matrix; the MMP9 inhibitor marimastat may enhance oncolytic virus penetration (55,56).

GSC stemness maintenance

GSCs are self-renewing, multidrug-resistant cells central to recurrence. Notch1 signaling maintains stemness through Hes1; the Notch inhibitor DAPT plus radiotherapy reduced GSC proportion by 80% in preclinical models (57). EZH2 maintains stemness by repressing SOX2 negative regulators; tazemetostat plus CD133-ADC eliminated 90% of GSCs in vitro and in vivo (44). Hypoxia-inducible factor 1α (HIF-1α) upregulates ABCG2 in hypoxic GSCs, enhancing drug efflux; the HIF-1α inhibitor belzutifan plus TMZ increased GSC drug sensitivity in preclinical studies (58,59).

An interconnected resistance network

A key emerging concept is that these mechanisms are mutually reinforcing. Hypoxia stabilizes HIF-1α, which simultaneously drives metabolic reprogramming (glycolysis), GSC stemness (ABCG2 upregulation) and TME immunosuppression (TGF-β, IL-10), while DNA damage from TMZ and radiotherapy feeds back to activate epigenetic and metabolic adaptations (23,60). A schematic summary is provided in Fig. 1. Targeting single nodes of this network is therefore unlikely to be curative, and rational combination strategies that simultaneously address DNA repair, metabolism, immunosuppression and stemness are more likely to succeed.

6. Conclusions and perspectives

Over the past five years, GBM research has progressed from empirical multimodal therapy toward molecularly guided precision therapy. The 2021 WHO classification has established the clinical value of molecular biomarkers, enabling stratified treatment: MGMT-methylated patients may benefit from extended TMZ, and IDH-mutant patients may respond to metabolic-pathway inhibitors. Precision surgery (5-ALA, intraoperative molecular testing) has improved resection and decision-making, and TTFields have added a meaningful, guideline-endorsed survival benefit (4,19,25). Emerging therapies, including dual-target CAR-T cells, mRNA vaccines and metabolic inhibitors, have produced preliminary signals of activity in recurrent GBM.

However, substantial translational barriers remain. The BBB severely limits drug penetration; spatiotemporal heterogeneity leads to failure of single-agent therapy; the interconnected resistance network is difficult to reverse; and the immunosuppressive TME reduces the efficiency of immunotherapy (23). At present, most emerging therapies have not been validated in adequately powered randomized trials, and none can yet be described as curative. The most realistic path forward is multimodal, molecularly stratified therapy that combines refined single-cell and liquid-biopsy-based classification, BBB-penetrant delivery systems, and rationally designed combinations targeting the interconnected resistance network, all tested in rigorous, controlled clinical trials. Significant additional work is required before these strategies can become standard practice, and any expectation of cure for a broad GBM population remains premature (6,23).

7. Literature search methods

Databases and search strategy

PubMed, Embase and Web of Science were searched on 15 December 2025 for records published between 1 January 2020 and 15 December 2025. The following search string was adapted for each database: (‘glioblastoma’ OR ‘GBM’) AND (‘molecular classification’ OR ‘molecular subtyping’ OR ‘IDH’ OR ‘MGMT’) AND (‘targeted therapy’ OR ‘immunotherapy’ OR ‘tumor treating fields’ OR ‘drug resistance’ OR ‘tumor microenvironment’). No language restriction was applied at retrieval; non-English records were excluded after screening because of data-integrity concerns.

Study selection. After duplicate removal, two reviewers (L.S. and S.S.) independently screened titles and abstracts, and then full texts, against predefined inclusion and exclusion criteria. Disagreements were resolved by discussion or by a third reviewer (Y.G.). Inclusion criteria were: i) Original research, clinical trials or high-quality reviews published in authoritative oncology/neuro-oncology journals; ii) studies with clear experimental or clinical data on GBM molecular pathology, therapy or resistance; and iii) trials reporting phase, population and efficacy endpoints. Exclusion criteria were: i) case reports, conference abstracts and unpublished gray literature; ii) studies with incomplete data, unclear conclusions or low methodological quality; and iii) studies focused on non-GBM glioma subtypes.

Screening results and quality assessment. The search identified 1,247 records, of which 261 duplicates were removed, leaving 986 records for screening. Of these, 68 non-English records were excluded after title/abstract screening because of data-integrity concerns. The 772 records excluded at the title/abstract stage comprised 360 records on non-GBM glioma subtypes or out-of-scope topics, 162 case reports, 98 conference abstracts or gray-literature items, and 84 records with incomplete or unclear data. A further 128 records were excluded at the full-text stage, comprising 47 with incomplete data, 36 with low methodological quality, 20 with unclear conclusions, 14 case reports/conference abstracts confirmed on full text, and 11 non-GBM glioma subtypes. The remaining 86 studies were synthesized (Fig. 2). Inter-reviewer agreement was substantial (Cohen's κ=0.82). Methodological quality was assessed by study design, sample size and endpoint definition; findings from randomized trials were weighted above single-arm early-phase trials, which were in turn weighted above preclinical studies. The main clinical and pre-clinical studies included in this review are summarized in Table II.

PRISMA-style literature selection
flowchart. The 772 records excluded at title/abstract screening
comprised 360 non-GBM/out-of-scope records, 162 case reports, 98
conference abstracts or gray-literature items, 68 non-English
records and 84 records with incomplete or unclear data. The 128
records excluded at full-text assessment comprised 47 with
incomplete data, 36 with low methodological quality, 20 with
unclear conclusions, 14 case reports/conference abstracts and 11
non-GBM glioma subtypes. GBM, glioblastoma.

Figure 2

PRISMA-style literature selection flowchart. The 772 records excluded at title/abstract screening comprised 360 non-GBM/out-of-scope records, 162 case reports, 98 conference abstracts or gray-literature items, 68 non-English records and 84 records with incomplete or unclear data. The 128 records excluded at full-text assessment comprised 47 with incomplete data, 36 with low methodological quality, 20 with unclear conclusions, 14 case reports/conference abstracts and 11 non-GBM glioma subtypes. GBM, glioblastoma.

Table II

Summary of included studies (2020-2025).

Table II

Summary of included studies (2020-2025).

First author/s, yearStudy (topic)Study typePopulationMain finding(Refs.)
A. Molecular classification and heterogeneity
Neftel et al, 2019Cellular states and plasticitySingle-cell RNA-seqHuman GBMFour plastic cellular states (NPC-, OPC-, AC-, MES-like)(7)
McMahon et al, 2022ctDNA in gliomaSystematic review/meta-analysisGliomactDNA biomarker performance(8)
LeBlanc et al, 2022Single-cell landscapesSingle-cellPrimary GBMVariable inter-/intratumor heterogeneity retention(16)
Migliozzi et al, 2025Spatial plasticity restraint Single-cell/spatialGBMHomotypic clustering restrains plasticity(17)
Hamed et al, 2025Gliomagenesis injury responseSingle-cellGliomaNeural crest-like cells orchestrate gliomagenesis(18)
B. Standard therapy and optimization
Qazi et al, 2017TMZ + radiotherapyPhase III RCTNewly diagnosed GBMEstablished TMZ chemoradiotherapy standard(5)
Hegi et al, 2005MGMT methylation and TMZRCT (biomarker analysis)GBMMGMT methylation predicts TMZ benefit(11)
Barault et al, 2015MGMT digital PCRCohortGBM/CRCDigital PCR refines MGMT-based prediction(12)
Stummer et al, 20065-ALA fluorescence surgeryPhase III RCTMalignant gliomaImproved complete resection rate(19)
Coty-Fattal et al, 2025Intraoperative MGMT assay Proof-of-conceptGBM30-min intraoperative MGMT assay(22)
Arienti et al, 2021Hyperbaric oxygen Preclinical/translationalGBM cellsHBO rewires glucose metabolism(24)
Stupp et al, 2017TTFields EF-14Phase III RCTNewly diagnosed GBMmOS 20.9 vs. 16.0 months(25)
Mellinghoff et al, 2023VorasidenibPhase III RCTIDH-mutant low-grade gliomaVorasidenib efficacy in IDH-mutant glioma(14)
C. Immunotherapy
Reardon et al, 2020CheckMate 143Phase III RCTRecurrent GBMNo survival benefit of nivolumab(26)
Schalper et al, 2019Neoadjuvant nivolumabPhase IIResectable GBMNivolumab modifies TME(27)
Zhao et al, 2019Anti-PD-1 correlatesCohortGBMImmune/genomic correlates of response(28)
Zhang et al, 2026B7-H3 CAR-TPhase IRecurrent GBMIntracranial B7-H3 CAR-T delivery(30)
Clubb et al, 2026Armored CAR-TPreclinicalGBMTargets antigen-heterogeneous glioma(31)
Kong et al, 2012IL13R CAR-TPreclinicalGlioma xenograftsIL13Rα2 CAR-T suppression(32)
Mitchell et al, 2015DC vaccineClinical trialGBMDC vaccine + tetanus/CCL3 improves survival(33)
Berneman et al, 2025WT1 mRNA DC vaccinePhase IGBM/solid tumorsWT1-mRNA DC vaccination responses(34)
Garfinkle et al, 2026Neoantigen DNA vaccinePhase IMGMT-unmethylated GBMPersonalized multivalent vaccination(35)
D. Targeted therapy/ADC
Van Den Bent et al, 2018Depatux-M (INTELLANCE 2)Phase II RCTRecurrent EGFR-amplified GBMDepatux-M + TMZ results(36)
Padovan et al, 2020Depatux-M real-worldCohortRecurrent GBMReal-world Depatux-M + TMZ experience(37)
E. Oncolytic viruses
Todo et al, 2022G47∆ HSV-1Phase IIResidual/recurrent GBMIntratumoral G47∆ survival(41)
Nassiri et al, 2023DNX-2401 + pembroPhase I/IIRecurrent GBMOncolytic adenovirus + pembrolizumab(42)
Desjardins et al, 2018Recombinant poliovirusPhase IRecurrent GBMPVSRIPO survival(43)
F. Resistance mechanisms
Suvà et al, 2009EZH2 in GSCPreclinicalGBM stem cellsEZH2 essential for GSC maintenance(44)
Jin et al, 2017BMI1/EZH2 inhibitionPreclinicalGBM stem cellsCombined BMI1 + EZH2 targeting(45)
Stefan et al, 2025Olaparib + TMZPhase IGBMPARP inhibitor + TMZ safety/activity(46)
Natsume et al, 2013PRC2 plasticityPreclinicalGBMPRC2 regulates epigenetic plasticity(47)
Minami et al, 2023CDKN2A lipidPreclinicalGBMCDKN2A deletion primes ferroptosis(48)
Duman et al, 2019ACBP FAOPreclinicalGBMACBP sustains fatty acid oxidation(49)
Masui et al, 2013mTORC2 glycolysisPreclinicalGBMmTORC2-FoxO-c-Myc glycolysis(50)
Ye et al, 2023Microglial rewiringPreclinicalGBMMicroglial metabolic rewiring + ICB(51)
Polania et al, 2025TAM exhaustionPreclinicalGBMTAM antigen presentation drives exhaustion(52)
Wang et al, 2024Hypoxic macrophagesPreclinicalGBMHypoxic macrophage vascular normalization(53)
Sattiraju et al, 2023Hypoxic nichePreclinicalGBMHypoxic niches reprogram TAM/T-cells(54)
Jeon et al, 2023Tissue factor RTPreclinicalGBMTissue factor regulates RT remodeling(55)
Hoogstrate et al, 2023TME transcriptomePreclinicalGBMTME transcriptomic changes(56)
Man et al, 2018Notch1 GSCPreclinicalGSCHypoxic Notch1 turnover maintains GSC(57)
Li et al, 2009Hypoxia-inducible factor GSCPreclinicalGSCHypoxia-inducible factor regulates GSC tumorigenic capacity(58)
Bao et al, 2006GSC radioresistancePreclinicalGSCGSC preferential DNA damage response(59)
G. Background reviews and consensus papers
Louis et al, 2021WHO CNS5 classification Consensus/classificationCNS tumorsMolecular diagnostic framework(1)
van den Bent et al, 2023Primary brain tumorsReviewAdult brain tumorsDiagnostic and therapeutic overview(2)
Tan et al, 2020GBM managementReviewGBMState-of-the-art management(3)
Qazi et al, 2017Intratumoral heterogeneityReviewGBMHeterogeneity drives resistance(5)
Weller et al, 2024Glioma (Primers)ReviewGliomaComprehensive overview(6)
Horbinski et al, 2024Molecular testingReviewCNS tumorsMolecular testing framework(9)
Wen et al, 2021WHO 2021 implicationsReviewAdult gliomasClinical translation(10)
Reardon et al, 2023IDH-mutant therapyReviewIDH-mutant gliomaTargeting mutant IDH(13)
Mukherjee et al, 2024Transcriptional plasticityReviewGBMPhenotypic plasticity mechanisms(15)
Moiyadi et al, 2014Fluorescence surgery reviewReviewMalignant glioma5-ALA paradigm(20)
McCracken et al, 20225-ALA storyReviewBrain tumor5-ALA evolution(21)
Singh et al, 2025GBM crossroadsReviewGBMTherapeutic horizons(23)
Kreatsoulas et al, 2022Immunotherapy landscapeReviewGBMTranslational immunotherapy(29)
Mair et al, 2023ADC brain tumorsReviewBrain tumorsADC activity(38)
Gan et al, 2017ADC GBMReviewGBMADC design(39)
Furnari et al, 2015EGFR heterogeneityReviewGBMEGFR signaling heterogeneity(40)
Wu et al, 2023Radiotherapy resistanceReviewTumorsMolecular resistance mechanisms(60)

[i] GBM, glioblastoma; TMZ, temozolomide; ADC, antibody-drug conjugate; 5-ALA, 5-aminolevulinic acid; CNS, central nervous system; TME, tumor microenvironment; RCT, randomized controlled trial; TAM, tumor-associated macrophage.

Acknowledgements

Not applicable.

Funding

Funding: No funding was received.

Availability of data and materials

The data generated in the present study are included in the figures and/or tables of this article.

Authors' contributions

LS and YG conceptualized and designed the study. LS, SS and LY conducted literature acquisition and analysis. LS drafted the manuscript. JY and JY critically revised the manuscript. All authors read and approved the final version of the manuscript. Data authentication is not applicable.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Spandidos Publications style
Shao L, Sun S, Yang L, Yang J and Gu Y: Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review). Mol Clin Oncol 25: 70, 2026.
APA
Shao, L., Sun, S., Yang, L., Yang, J., & Gu, Y. (2026). Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review). Molecular and Clinical Oncology, 25, 70. https://doi.org/10.3892/mco.2026.2979
MLA
Shao, L., Sun, S., Yang, L., Yang, J., Gu, Y."Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review)". Molecular and Clinical Oncology 25.5 (2026): 70.
Chicago
Shao, L., Sun, S., Yang, L., Yang, J., Gu, Y."Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review)". Molecular and Clinical Oncology 25, no. 5 (2026): 70. https://doi.org/10.3892/mco.2026.2979
Copy and paste a formatted citation
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Spandidos Publications style
Shao L, Sun S, Yang L, Yang J and Gu Y: Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review). Mol Clin Oncol 25: 70, 2026.
APA
Shao, L., Sun, S., Yang, L., Yang, J., & Gu, Y. (2026). Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review). Molecular and Clinical Oncology, 25, 70. https://doi.org/10.3892/mco.2026.2979
MLA
Shao, L., Sun, S., Yang, L., Yang, J., Gu, Y."Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review)". Molecular and Clinical Oncology 25.5 (2026): 70.
Chicago
Shao, L., Sun, S., Yang, L., Yang, J., Gu, Y."Frontier therapeutic strategies and molecular mechanisms of glioblastoma (Review)". Molecular and Clinical Oncology 25, no. 5 (2026): 70. https://doi.org/10.3892/mco.2026.2979
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