Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Phys., 18 December 2025

Sec. Biophysics

Volume 13 - 2025 | https://doi.org/10.3389/fphy.2025.1723329

This article is part of the Research TopicBlood Brain Barrier Dynamics: Translational Impacts on Neurological InterventionsView all articles

Molecular and biophysical remodeling of the blood–brain barrier in glioblastoma: mechanistic drivers of tumor–neurovascular crosstalk

Matthew AbikenariMatthew AbikenariMatthew Adam SjoholmMatthew Adam SjoholmJustin LiuJustin LiuGeorge NageebGeorge NageebJoseph H. HaJoseph H. HaJanet WuJanet WuAlexander RenAlexander RenJamasb SayadiJamasb SayadiJaejoon LimJaejoon LimKwang Bog ChoKwang Bog ChoRohit VermaRohit VermaRavi MedikondaRavi MedikondaMatei BanuMatei BanuMichael Lim
Michael Lim*
  • Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States

Glioblastoma (GBM) resists conventional treatment in large part because the blood–brain barrier (BBB) and its tumor-modified counterpart, the blood–tumor barrier (BTB), form a spatially heterogeneous, actively regulated interface that governs transport. In this setting, permeability, perfusion, and efflux are decoupled so radiographic contrast enhancement is an imperfect surrogate for true therapeutic exposure. Based on breakthroughs in vascular biology, imaging, and transport modeling, single-cell and spatial profiling, and translational delivery studies, we demonstrate how vascular co-option, hypoxia-induced remodeling, and barrier dysregulation generate gradients from relatively intact margins to leaky but sparsely perfused cores. In addition to their function in regulating molecular traffic, perivascular cells and astrocyte programs affect local immune niches that enable myeloid suppression and exclusion of T-cells and suppress systemic immunotherapies. New tools, from novel MRI/PET methods to intravital microscopy and microphysiologic “BBB-on-chip” platforms, facilitate quantitative measurement of regional transport and drug levels. These observations indicate three interrelated paths to enhanced therapy: temporarily normalizing or reversibly opening the barrier, avoiding it by targeted regional delivery, and rationally designing drugs that account for transport and efflux limitations. The integration of barrier modulation with immunotherapies in preclinical models enhances intratumoral exposure and efficacy. Lessons from other neurologic illnesses highlight both the dangers of uncontrolled opening and the potential of localized, reversible modulation. We support a “BBB-first” paradigm that treats the barrier as a quantifiable, targetable organ and demands trials stratified by barrier phenotype and correlating clinical outcome with regional exposure and immune access.

1 Introduction

Glioblastoma (GBM) is the most common malignant primary brain tumor in adults and, under the 2021 WHO criteria, is defined as an IDH-wildtype, grade 4 diffuse astrocytic glioma that typically shows microvascular proliferation or necrosis on pathology [14]. While global data on GBM incidence and disability-adjusted life years (DALYs) remain limited, the incidence in the United States is estimated at approximately 3 cases per 100,000 individuals [4, 5]. Despite maximal therapy involving surgery when feasible, radiation, and temozolomide, outcomes remain poor, with population-level datasets highlighting that GBM accounts for roughly 51% of malignant CNS tumors in the U.S., and effects and carries the lowest median observed survival among malignant brain tumors (Even with modern care, most series still report median overall survival on the order of ∼14–16 months in trial cohorts [46]. Tumor Treating Fields modestly extend survival for selected patients, but durable cures remain rare, underscoring the need to rethink how we deliver drugs and immune effectors to the brain [6].

A defining reason GBM is so hard to treat is the blood–brain barrier (BBB) and its tumor-altered counterpart, the blood–tumor barrier (BTB). The BBB normally protects neural circuits by tight endothelial junctions, low vesicular transport, and active efflux, but GBM converts this into a mosaic of barrier states, from relatively intact, drug-resistant margins to disrupted, edematous cores, with non-uniform permeability and persistent efflux that make “leak” on MRI a poor proxy for effective drug exposure [7, 8]. This variability also shapes immune entry and edema, so the same tumor can be “open” to water and contrast yet “closed” to antibodies or T cells. Clinically, that means delivery strategies must be matched to local BBB state (normalize, open, bypass, or exploit receptor-mediated transport) rather than assuming a single barrier phenotype throughout the lesion.

This spatial heterogeneity forms the basis of the challenges in drug delivery, dictates the behavior of immune cells, and substantially elevates the complexity of neurosurgical planning. Hence, GBM goes beyond the description of a brain tumor with an attendant barrier presentation but, instead, defines a pathological state with BBB remodeling across molecular, cellular, and biophysical axes [9, 10].

In health, BBB function emerges from specialized endothelium with tight and adherens junctions (including claudin-5, occludin, zonula occludens (ZO) scaffolds, and vascular endothelial cadherin (VE-cadherin)), low vesicular transport, polarized efflux and receptor systems (such as ATP-binding cassette (ABC) transporters and receptor-mediated transcytosis), and the neurovascular unit (NVU), which consists of pericytes within a dual basement membrane and astrocytic endfeet that align aquaporin-4 (AQP4) channels and ion/water flux to neuronal demand. Junctional integrity and transporter polarity enforce steep permeability gradients and high transendothelial electrical resistance (TEER), preserving neuronal signaling fidelity [1113]. Astrocytes and pericytes impose bidirectional control: astrocytic sonic hedgehog (SHH), Wnt/β-catenin, angiopoietin-1 (ANG-1)/Tie2, insulin-like growth factor-1 (IGF-1), glial cell line-derived neurotrophic factor (GDNF), and retinoic acid strengthen junctions; vascular endothelial growth factor (VEGF)–endothelial nitric oxide synthase (eNOS)–nitric oxide (NO), endothelins, matrix metalloproteinases-2 and -9 (MMP-2/9), and glutamate–N-methyl-D-aspartate (NMDA) signaling loosen them. Pericyte platelet-derived growth factor receptor beta (PDGFRβ)–transforming growth factor beta (TGF-β) signaling stabilizes endothelial identity and suppresses permeability phenotypes; Notch3 and metabolic stress tune coverage and contractility [7, 10, 14, 15]. These latent programs are the levers GBM pulls.

GBM corrupts the vasculature in stages. Vascular co-option permits tumor cells to parasitize native microvessels, physically displacing astrocytic endfeet from the endothelial basement membrane and uncoupling perivascular signaling, TEER drops before frank angiogenesis [16]. Hypoxia and acidosis then select for VEGF, IL-8, SDF-1, bFGF, generating tortuous neovessels with high interstitial pressure and chaotic perfusion. At the junctional level, PKC-dependent occludin phosphorylation and MMP-mediated claudin-5 degradation dismantle the paracellular fence, while ZO-1 mislocalization/loss fractures continuity; islands of residual junctions persist, yielding BBB mosaics [1719]. The extracellular matrix (ECM) modulates barrier tone: laminins and collagen IV support endothelial polarity and AQP4 organization, whereas hyaluronan–TLR signaling propagates inflammation and matrix remodeling that further increases permeability [1921]. Pericytes are a second control point: PDGFRβ/TGF-β and Notch3 sustain coverage; chronic hypoxia/inflammation erodes these safeguards, and glioma-associated mesenchymal cells can transdifferentiate into pericyte-like cells that are not equivalently barrier-protective [22, 23]. Notably, BBB remodeling is lineage- and model-dependent: patient-derived glioma stem–like cells can preserve perivascular integrity that classic U87 lines do not, emphasizing tumor-intrinsic control of barrier state [23, 24].

Immunologically, the remodeled BBB is not a passive leak but an active gatekeeper that sculpts the tumor ecosystem. VEGF signaling induces Tregs and MDSCs and biases microglia/macrophages toward M2-like programs, while anti-VEGF “normalization” can re-route biology toward SRC-driven invasion and metabolic rewiring rather than durable immune competence [24, 25]. Endothelial ICAM-1/VCAM-1 and perivascular chemokines shape leukocyte adhesion and diapedesis; astrocytic SHH suppresses endothelial ICAM-1, limiting immune entry, whereas NF-κB/STAT3-driven reactive astrogliosis elevates cytokines (IL-6, TNF-α), MMPs, and NO, loosening junctions yet not necessarily improving effector T-cell trafficking [7, 25, 26]. Pericyte dysfunction expands perivascular myeloid niches that buffer cytotoxic lymphocytes; APOE4–CypA–NF-κB–MMP-9 signaling in pericytes exemplifies a barrier–myeloid axis that promotes leak and immunosuppression [7]. Layered on top are non-coding and epigenetic controls such as NEAT1to miR-181d-5p/SOX5, miR-34c/miR-18a networks that repress claudin-5/occludin/ZO-1; NF-κB/STAT3/NFAT programs and histone remodeling that toggle astrocyte secretomes between barrier-stabilizing (SHH, ANG-1) and barrier-loosening (VEGF, MMPs) states [7, 26, 27]. The net effect is spatially adjacent zones that are drug-refractory yet immunologically sealed and edematous, leaky regions that still fail to deliver adequate concentrations to infiltrative margins.

These realities have first-order clinical consequences. Enhancing cores typically exhibit greater leak, whereas invasive peripheries often retain an intact BBB (‘imaging-dark’ on permeability maps); importantly, local perfusion–permeability decoupling can produce exceptions, so we stratify by measured barrier state rather than location. In addition, intact-BBB peripheries exert discordant pharmacokinetics; anti-angiogenic therapy obtains short-term radiographic benefit with modest survival; and BBB state dictates fluorescence-guided resection fidelity, convection enhanced delivery distribution, and the benefit-risk balance of osmotic or targeted-ultrasound dilation [7, 28, 29]. For immunotherapy, endothelial state of activation, pericyte coverage, and perivascular composition of myeloids jointly dictate T-cell influx, CAR-T viability, and antibody diffusion [29, 30]. Hence, a BBB-first framework, viewing the barrier as a measurable, druggable organ, naturally follows.

The emergent literature presented collectively support the notion of a BBB-first paradigm within the scope of GBM: the blood-brain barrier should not be viewed merely as a barrier but as a modifiable organ that plays a crucial role in the disease, with its immune and transport characteristics being amenable to assessment, modeling, and therapeutic intervention. In the following sections, we aim to (i) outline the biophysical characteristics of a healthy blood-brain barrier, (ii) explore the lineage- and niche-specific modifications of GBM that result in quantifiable permeability and immune-gating phenotypes, and (iii) evaluate strategies that either utilize endogenous transport mechanisms (such as RMT-aware carriers, prodrugs, and efflux modulation) or temporarily modify the physical attributes of the barrier (through convection, osmotic effects, and focused-ultrasound opening). Our goal is to convert BBB heterogeneity from a source of therapeutic challenges into a design criterion for precision neuro-oncology.

What this Review instantiates is operationalizing a BBB-first paradigm: Beyond summarizing BBB/BTB biology, we provide a decision framework that links barrier phenotype to imaging biomarkers and delivery strategy (open, bypass, normalize, exploit transport) to PK/PD and clinical endpoints as predictable failure modes/mitigations. We harmonize micro-to macro-scale readouts (junctional/perivascular programs, single-cell/spatial maps, DCE/DSC-MRI and PET) into actionable patient stratification, and specify trial design primitives (timing windows, exposure assays, immune ingress, safety liabilities) to prospectively test delivery-efficacy hypotheses in GBM. BBB-first means treating barrier state as the primary stratifier that determines route, schedule, and endpoints: classify regions (intact rim vs. heterogeneous core vs. normalized beds), match modality accordingly, predefine PK/PD and safety readouts, and embed mitigations for known failure modes. We also incorporate very recent advances (e.g., refinements in osmotic BBB opening and image-guided territory control) within this risk-benefit framework.

2 The healthy BBB: biophysical architecture

CNS homeostasis and protection are maintained through a specialized set of tissues and barriers. Although the brain is richly vascularized, the BBB provides a critical separation between peripheral circulation and the CNS. This barrier function is achieved through the coordinated actions of three major cell types: (1) endothelial cells (ECs), (2) mural cells (MCs), including smooth muscle cells (SMCs) and pericytes (PCs), and (3) astrocytic endfoot projections [3133].

ECs of the BBB differ from those of the peripheral vasculature in that they lack fenestrations and form a high density of specialized tight junctions (TJs) that restrict paracellular diffusion of large or polar molecules into the CNS interstitium and preserve apical–basolateral EC polarity [3335]. While oxygen and carbon dioxide can readily diffuse across, large and charged molecules like glucose, amino acids, insulin, and iron cannot passively diffuse. TJs are primarily composed of claudins and occludins, which establish intercellular connections and are anchored to the actin cytoskeleton via scaffolding proteins such as ZO-1, ZO-2, ZO-3, and cingulin [36, 37]. Among the claudin family, multiple isoforms have been identified, with claudin-1, claudin-3, and claudin-5 being of particular importance to the BBB [18, 38, 39]. In addition, TJs depend on adherens junctions (AJs) for proper assembly, stability, and intercellular tension. AJs mediate cell–cell adhesion through occludins, claudins, and junctional adhesion molecules, while alpha, beta, and gammma-catenins provide cytoskeletal anchoring [3436]. Without AJ support, TJs fail to form functional barrier structures.

The second key component of the BBB is MCs. In cerebral arteries, MCs are predominantly SMCs, but as the vasculature narrows to arterioles, they transition to PCs [31, 35]. Fibroblast-like cells may also reside in the perivascular space between the endothelial basement membrane and the astrocytic basement membrane of venules and some arteries. PCs are undifferentiated contractile cells housed within the endothelial basement membrane that contribute to the regulation of vessel diameter, cerebral blood flow, and provide critical microvascular support [33, 35, 40, 41]. At the capillary level, the EC and astrocytic basement membranes become directly apposed. The EC basement membrane is composed primarily of laminin α4 and α5 isoforms, which anchor ECs via α and β integrins, while the astrocytic basement membrane contains laminin α1 and α2 isoforms and connects to astrocytic endfoot projections through dystroglycans and integrins [35]. Together, these interactions create a tightly integrated structural scaffold, providing a foundation for astrocytic regulation of BBB function.

The third key component of the BBB is the astrocytic endfoot projection. These extensions of astrocytes envelop the cerebral vasculature through tight junctions to form the glia limitans, the final barrier between the systemic circulation and the brain parenchyma [35]. Astrocytic endfeet regulate and support BBB function through the expression of ion and water channels, such as aquaporin-4 (AQP4), and by secreting signaling molecules including vascular endothelial growth factor (VEGF), nitric oxide (NO), apolipoprotein E, and insulin-like growth factor-1 [42, 43]. In addition, astrocytic expression of laminin has also been show to be critical proper PC function and BBB integrity [43]. The close crosstalk among ECs, astrocytes, and neurons underscores that the BBB is not a static wall, but rather a highly dynamic and adaptive interface [44]. Taken together, ECs, MCs, and astrocytic endfoot projections form a multilayered and mutually supportive barrier that restricts the diffusion of most molecules into the brain and sets the stage for the highly regulated transport needed for CNS homeostasis.

The despite the layered boundaries, molecules can pass the BBB through passive diffusion, carrier-mediated transport, receptor-mediated transport, and active efflux. Lipid-soluble molecules can passively diffuse across the BBB, with diffusion rate across the BBB generally increases with lipid solubility up to 400 Da in size, likely due to steric limits within membrane lipid pores. Additional factors, including hydrogen-bonding capacity, molecular shape, and the number of rotatable bonds, also influence permeability [44]. Carrier-mediated transporters are a diverse family of proteins responsible for shuttling polar molecules including glucose, amino acids, ions, nucleosides, and peptides across the BBB. These molecules can be transported through various mechanisms, including passive or active transport, and in either a bidirectional or unidirectional manner [36, 45, 46]. The distribution of carrier-mediated transporters differs between the apical and basolateral membranes, reflecting the established polarity of endothelial cells. Similarly, receptor-mediated transport and transcytotic pathways facilitate the selective uptake of larger proteins and hormones [33]. Finally, active efflux is mediated by ATP-binding cassette (ABC) transporters, which expel exogenous xenobiotics and metabolic byproducts back into the circulation [37, 47]. Together, these complementary mechanisms establish a finely tuned balance that allow the CNS access to essential nutrients and signaling molecules while simultaneously protecting it from toxins and pharmacologic agents.

Another critical function of the BBB is the regulation of the interface between the CNS and the peripheral immune system. Cerebral interstitial fluid drains through narrow pathways between basement membranes into the perivascular space and ultimately toward lymph nodes [48]. This environment presents challenges for immune surveillance, as immune cells cannot readily migrate from the parenchyma to lymphatic vessels. By contrast, soluble antigens, but not larger particulate matter such as viruses, can drain into perivascular regions [35, 49, 50]. Antigen-presenting cells (APCs), such as dendritic cells and macrophages, localize within these perivascular spaces. T cells gain access by crossing endothelial cells at venules and entering the perivascular compartment, but they may only proceed into the brain parenchyma if they recognize antigens presented by perivascular APCs. As a result, only a limited number of CD4+ and CD8+ T cells are permitted entry into the CNS parenchyma [35, 51]. Together, these mechanisms reinforce the concept of the CNS as an immune-privileged site, allowing selective immune surveillance while limiting widespread inflammation.

3 BBB dysregulation in glioblastoma

GBM reorganizes the brain’s microvasculature into something more complex than an “open” or “leaky barrier.” Concomitant reorganization of junctional composition, endothelial transcytosis, basement membrane structure, perivascular cell identity, and astrocyte polarity induced by tumors is regionally heterogeneous and dynamically regulated by hypoxia, inflammatory signals, and mechanical pressure. Below we integrate the major axes of dysfunction that, taken together, form a mosaic of intact and disrupted barrier states in GBM, with particular emphasis on immunologic crosstalk at the neurovascular interface.

Host factors intersect with GBM genomics in ways that shape disease risk and course: epidemiologically, GBM occurs more often in males, and recent multi-omic and methylome studies report sex-associated molecular differences that may influence outcomes [52]. With aging, GBM is predominantly IDH-wildtype; IDH1/2 mutations are enriched in younger adults, whereas TERT-promoter mutations, common in IDH-wildtype GBM, track with adverse features and poorer prognosis [53]. Race and/or ethnicity are associated with both epidemiology and tumor markers. Population-based cohorts show incidence and survival differences across racial/ethnic groups and these data highlight that age, sex, and ancestry contribute to the GBM genomic landscape (e.g., IDH, TERT, EGFR, MGMT) and, by extension, therapeutic response context that complements vascular–immune heterogeneity at the GBM neurovascular interface [53, 54].

3.1 Tumor angiogenesis and leaky vasculature

GBM remodels the neurovascular unit from a high-resistance, low-permeability interface into a blood-tumor barrier (BTB) with non-uniform permeability, aberrant flow, and persistent efflux due to abnormal junctions and increased transcytosis. Dynamic contrast-enhanced MRI (DCE-MRI) captures this as elevated K^trans in enhancing regions, yet drug exposure remains patchy because perfusion and permeability are spatially uncoupled [7]. At the endothelial layer, angiogenic signaling mislocalizes tight-junction proteins (claudin-5, occludin, ZO-1) and up-shifts transcytosis pathways (caveolin-1/PLVAP), a combination that yields focal paracellular gaps plus heightened vesicular transport [7, 55]. Single-cell and ultrastructural studies from human GBM further show PLVAP-high, caveolae-rich endothelium within enhancing core vasculature, consistent with leak and increased transcytosis [55].

Abnormal tumor vessels are tortuous, dilated, and flow-heterogeneous, elevating interstitial fluid pressure and creating diffusion–perfusion mismatches that hinder delivery even where contrast enhancement suggests “leak.” These hallmarks motivate time-boxed vascular normalization to transiently improve perfusion/oxygenation and reduce edema [56, 57]. Clinically, K^trans and related DCE metrics correlate with angiogenic phenotype and prognosis in GBM and help separate progressive disease from treatment effects, though repeatability and model choice matter [58, 59]. Together, these data support a BTB continuum, from vesicle rich, junctionally abnormal endothelium in enhancing cores to relatively intact vessels at infiltrative margins [7].

3.2 Hypoxia-driven VEGF signaling and pericyte detachment

Hypoxia in pseudopalisading/necrotic GBM regions stabilizes HIF programs that upregulate VEGFA, loosening junctions, increasing endothelial vesicular transport, and driving immature sprouting [60, 61]. In GBM, hypoxia and VEGF intersect with the Angiopoietin/TIE axis: ANG2 (upregulated in GBM endothelium and after antiVEGF therapy) destabilizes the vessel wall and promotes pericyte detachment/regression, priming leaky, immature angiogenesis in the presence of VEGF [62, 63]. Mechanistically, pericyte expressed Tie2 helps stabilize sprouting vessels, and perturbing pericyteTie2 signaling renders pericytes promigratory and barrier ineffective, contributing to leak despite apparent coverage [64]. Human GBM single cell datasets corroborate endothelial BBBtoBTB state shifts (junctional programs partly retained, PLVAP/caveolae increased) and show mural cell remodeling consistent with pericyte dysfunction [31, 55]. Therapeutically, judicious VEGF/VEGFR2 blockade can normalize vessels, tightening junctions, reducing transcytosis, restoring pericyte–endothelial coupling, and lowering IFP, but prolonged or mistimed inhibition risks evasive invasion and re-hypoxia, arguing for time-boxed combinations (e.g., with radiotherapy or immunotherapy) [54, 56, 57]. Emerging GBM data suggest Tie2 agonism can also promote normalization across core and periphery by reducing transcytosis and stabilizing junctions, offering an Ang/TIE directed complement to VEGF blockade.

3.3 Heterogeneity: intact vs. disrupted BBB regions

The GBM BBB is mosaic involving an angiogenic, contrast enhancing core with junctional discontinuities and high transcytosis, abutting an infiltrative rim that coopts native vessels and retains BBBlike features (tight junction transcripts, active efflux), producing pharmacologically “dark” disease beyond enhancement [65]. Vessel cooption at the invasive front is a GBM hallmark and a mechanism of resistance to antiangiogenic therapy, reinforcing the persistence of intact BBB territories despite radiographic response. Spatial omics and imaging show that permeability and flow markers diverge across microdomains. For example, PLVAP-high but poorly perfused patches versus intact-BBB, efflux-rich margins, explaining why contrast enhancement does not equate uniform drug delivery. Recent human/mouse work explicitly delineates core versus margin BTB states and demonstrates that state matched modulation (optoBBTB) can enhance delivery in both compartments, underscoring the translational value of BBB phenotyping [66].

3.4 Interactions with tumor associated macrophages and microglia

The GBM-remodeled BBB is an active immunologic gate shaped by perivascular myeloid niches. Spatial atlases of high-grade glioma reveal perivascular enrichment of macrophage/microglia states that correlate with immune exclusion and patient outcome, distinguishing GBM from brain metastases. CyTOF single-cell mapping confirms GBM’s predominance of tissue-resident microglia with distinct activation states from infiltrating monocytes, reinforcing niche-specific crosstalk at vessels [55, 67]. Angiogenic cues are immunomodulatory: VEGF can suppress dendritic maturation and T-cell function, while vascular normalization partially re-tunes the perivascular milieu to permit better lymphocyte trafficking, principles now tested in GBM combination strategies [57, 67]. Moreover, GBM stroma contains perivascular fibroblasts linked to immune-checkpoint non-response and poor survival, adding another vascular-adjacent suppressive element [68]. Collectively, these data argue for BBB-aware immunotherapy: myeloid reprogramming in leaky, myeloid-rich cores and spatially targeted opening/normalization at intact-BBB rims to facilitate antibody/CAR-T entry while preserving safety.

4 Biophysical and imaging insights into BBB dynamics

4.1 Advances in imaging BBB permeability

Imaging advances have greatly enhanced our understanding of BBB permeability in GBM. Magnetic resonance imaging (MRI) techniques, especially dynamic contrast-enhanced MRI (DCE-MRI) and dynamic susceptibility contrast (DSC) perfusion MRI, allow quantitative mapping of tumor vascular permeability. Early studies showed that higher-grade gliomas exhibit increased contrast leakage and cerebral blood volume on perfusion MRI, correlating with their more disrupted BBB Recent refinements in DCE-MRI provide parametric maps of BBB leakiness, helping identify heterogeneous areas of permeability within a tumor [69]. For example, in vivo MRI of GBM models has demonstrated regions of leaky vasculature adjacent to relatively intact areas, reflecting the spatial variability of the blood–tumor barrier (BTB) [66, 70, 71]. Such imaging is not only diagnostic but can be used to correlate increases in post-treatment DCE-MRI permeability with disease severity (i.e., prognosticate) [72]. These imaging modalities, DCE-MRI and DSC, also allow for the gathering of robust information in bulk, a significant advantage over the aforementioned in vivo methods.

Positron emission tomography (PET) offers complementary insights by using radiotracers to quantify BBB function. Unlike MRI (which mostly detects structural leakage), PET can measure molecular transport across the BBB. New PET tracers such as radiolabeled amino acids and metabolites cross via specific transport mechanisms and can map regional BBB permeability with kinetic modeling [73]. For instance, [11C]aminoisobutyric acid (AIB) and 68Ga-EDTA are used to identify areas of compromised barrier in brain tumors [74]. PET can even assess efflux transporter activity at the BBB by employing substrates like [11C]verapamil for P-glycoprotein function. Multimodal imaging that combines PET and MRI is now being explored to improve spatial resolution of BBB imaging via MRI and using the quantitative aspect of PET imaging [69]. Together, the dual imaging modalities of MRI and PET enable noninvasive “permeability mapping” of GBM, guiding both diagnosis and the evaluation of therapies aimed at modulating the BBB.

At the microscopic scale, intravital optical imaging has provided real-time views of BBB disruption in GBM models. Two-photon microscopy in orthotopic gliomas reveals how invading tumor cells physically perturb the neurovascular unit. Watkins et al. observed that glioma infiltration disrupted astrocyte–vascular coupling, leading to focal loss of endothelial tight junction integrity and increased leakage of fluorescent tracers [9]. Similarly, longitudinal multiphoton imaging has visualized macromolecular dye extravasation from tumor micro-vessels, confirming that BBB permeability is highest in regions of dense tumor and neovasculature [75]. Three-photon microscopy now permits imaging deeper into brain tissue, such as the invasive tumor margins in white matter [76]. These optical approaches have been demonstrated in pre-clinical models and enrich our understanding of BBB dynamics by delineating where and when the barrier fails. For example, intravital imaging of nanoparticle delivery to GBM has demonstrated that functionalizing nanoparticles with targeting ligands (e.g., transferrin) enables them to transcytose across an otherwise intact BBB, whereas untargeted particles do not cross [77]. Furthermore, alternative nanoscale techniques addressing the nanomechanics in glioblastoma may serve as a useful biomarker to distinguish between health and GBM samples [78, 79]. In particular, AFM/ECIS data show that GBM lines harbor distinct nanomechanical phenotypes, e.g., stiffer, more viscous T98G versus more elastic U87 MG, that track with migration behavior and temozolomide sensitivity, underscoring actionable heterogeneity. Complementing intravital optical imaging of BBB failure, advanced AFM modalities quantify morphological, mechanical, and chemical features at nanoscale resolution, positioning AFM-derived mechanics as biomarkers to stratify therapy and interpret delivery across an otherwise intact or variably compromised BBB [78, 79].

Overall, advances in MRI, PET, and optical imaging provide a multiscale picture: from whole-tumor permeability down to cellular-level barrier breaches. This convergence of imaging modalities is illuminating the heterogeneous landscape of BBB integrity in and around GBM.

4.2 Modeling of solute and therapeutic flux

Beyond imaging, researchers are using biophysical modeling and experimental paradigms to quantify how solutes and drugs traverse the GBM-altered BBB. A consistent and major finding from both models and in vivo studies is that BTB permeability is highly heterogeneous, which profoundly affects drug delivery. Lockman et al. demonstrated in a breast cancer brain metastasis model that drug efficacy correlated with local BTB permeability regions with “tight” vasculature resisted therapy, whereas leaky regions saw better drug penetration [80]. By extension, GBM’s patchy BBB disruption means some tumor niches receive sub-therapeutic drug concentrations. In human studies, Fine et al. directly measured chemotherapy deposition in resected brain tumors, finding that paclitaxel levels were <2% of plasma levels in many GBM samples due to poor penetration [81]. Such data underscore the need for quantitative models of drug transport in GBM.

Mathematical modeling of solute flux often treats the BBB/BTB as a semipermeable barrier with parameters like permeability (P) and surface area (S). DCE-MRI data are commonly fit to biophysical models (e.g., the Patlak or Tofts models) to estimate the permeability–surface area product (PS) in different tumor regions. These models show that GBM’s PS for gadolinium demonstrates very low leakage [8284]. However, when active transport is considered, PS can be an order of magnitude higher for substrates of facilitated transporters [73]. These computational models highlight that the GBM BBB is not simply open or closed, but rather that transport is compound-specific, depending on size, lipophilicity, and transporter affinity.

To better recapitulate human BBB dynamics, microfluidic and organ-on-chip models of the GBM microvasculature have been developed. A 2022 study by Straehla et al. created a microfluidic GBM model with perfused human endothelial cells, tumor spheroids, and astrocytes to simulate the BTB. This platform accurately predicted the trafficking of nanoparticles across the BBB and into tumor regions [85]. This model was tested using various nanoparticle designs and their ability to penetrate the barrier, providing a tool for modeling drug delivery before moving to animal or human trials [85]. Similarly, other 3D in vitro models using patient-derived induced pluripotent stem cells (iPSC) have been used to quantify flux and have demonstrated that a mildly intact BBB can drastically reduce chemotherapy uptake, consistent with observations in humans [8688]. Furthermore, Seano et al. reported that alleviating solid stress with lithium in mice restored perfusion and improved neurological function [16]. While that study focused on neurons, it implies that mechanical forces contribute to BBB dysfunction and could be modeled in drug delivery simulations. In summary, biophysical modeling, whether through computational equations or physical microsystems, is shedding light on the complex kinetics of drug delivery in GBM. These approaches consistently indicate that without intervention, therapeutic molecules have uneven and often inadequate distribution in GBM due to a variably intact BBB. This understanding motivates the design of strategies to improve drug flux into all parts of the tumor. Table 1 recapitulates the mechanisms of transfer and support across the BBB.

Table 1
www.frontiersin.org

Table 1. The healthy BBB: an engineering blueprint for transport and measurement.

4.3 Single-cell and spatial transcriptomic insights into BBB heterogeneity

Recent single-cell and spatial transcriptomic approaches are delineating the cellular and molecular heterogeneity of the blood–brain barrier within and adjacent to glioblastoma. Traditional bulk analyses showed that GBM endothelium expresses lower levels of tight junction proteins and higher levels of inflammatory signals than normal brain vasculature [22, 89]. Single-cell RNA sequencing provides identification of single-cell subpopulations. A recent single-cell study of human GBM vascular and perivascular cells identified distinct clusters of tumor-associated endothelial cells, pericytes, and astrocytes that collectively form an abnormal barrier niche [31]. Endothelial cells in GBM showed downregulation of BBB junction genes and upregulation of pathways related to antigen presentation and angiogenesis, indicating an inflamed, leaky phenotype [12, 15]. Notably, many tumor endothelial cells co-expressed genes for efflux pumps, such as ABCB1 and ABCG2, as well as angiogenic factors, reflecting a state that is both drug-exclusionary and pro-permeability (vessel tortuosity and leak) [69].

Pericytes serve as the support cells that wrap capillaries and have garnered special interest in single-cell analyses [31]. In normal brain, pericytes help regulate the function of the BBB; however, in GBM, they appear reprogrammed. Li and colleagues performed single-cell RNA sequencing on GBM tissues and found a subset of blood-brain-tumor-barrier-associated pericytes marked by high PTH1R expression [90]. These pericytes showed stark upregulation of extracellular matrix genes like collagen IV (COL4A1/A2) and fibronectin (FN1) compared to normal pericytes. Interestingly, patients whose tumors had higher expression of these pericyte ECM genes had worse survival, underscoring the clinical relevance of this BBB-modulating subpopulation. Functional tests confirmed that knocking down PTH1R in pericytes in vitro drove up collagen IV and FN1 production, and in vivo modeling showed an inverse correlation between PTH1R levels and BBB leakiness, suggesting PTH1R+ pericytes regulate the permeability of the BBB [90].

In parallel, spatial transcriptomics has illuminated how BBB-related gene expression varies across different tumor regions [91]. GBM exhibits well-defined histologic niches, for example, microvascular proliferation (MVP) zones and hypoxic pseudopalisading necrosis zones, which were known to have different vascular phenotypes [91, 92]. Spatial transcriptomic analysis of 16 GBM patients identified region-specific gene signatures for MVP regions versus perinecrotic (PAN) regions. MVP regions (dense abnormal vessels) showed enrichment of endothelial and stromal genes like COL4A1, COL4A2, and FN1, as well as SPARC and IGFBP3, which are associated with angiogenesis and matrix remodeling. In contrast, PAN regions (around necrosis) had upregulation of genes like CHI3L1 and VEGFA in their vasculature and associated myeloid cells [93]. These findings support the idea that different parts of the same tumor harbor blood vessels with distinct molecular profiles with their own respective phenotypes. In summary, single-cell and spatial omics are revealing BBB heterogeneity at the cellular and molecular level. These studies highlight potential targets for therapy, such as modulating pericyte-ECM interactions or targeting region-specific vessel phenotypes. Moreover, these approaches reinforce the concept that the BBB in GBM is not a monolith; but rather a heterogenous population of capillaries in the invasive margin to profoundly abnormal vessels in the tumor core. Table 2 recapitulates the drivers of immune evasion by the tumor in the context of utilizing the BBB’s structural and functional vulnerability.

Table 2
www.frontiersin.org

Table 2. GBM reprograms the BBB: drivers, consequences, readouts, levers.

5 Translational strategies for overcoming the GBM BBB

5.1 Pharmacological approaches

One strategy to surmount the BBB in GBM is through pharmacological therapy to permeabilize or modulate the BBB. A straightforward approach is to use small-molecule therapeutics that inherently cross the BBB. The success of the oral alkylator temozolomide (TMZ) in GBM is partly due to its low molecular weight and lipophilicity, allowing therapeutic fractions to reach the brain [94]. Small-molecule PI3K/mTOR inhibitors have been evaluated for brain penetrance [95]. Additionally, medicinal chemistry efforts often produce prodrug compounds which have enhanced BBB-permeability by chemically modifying polar groups, which later convert into the active drug inside the CNS [96, 97].

Interestingly, some anti-angiogenic drugs might indirectly normalize or tighten the BBB. Low doses of VEGF inhibitors can prune leaky vessels and restore BBB integrity, potentially improving drug penetration into the remaining vessels by normalizing flow [98]. However, anti-VEGF therapy in GBM (e.g., bevacizumab) also rapidly reduces contrast enhancement and edema by re-establishing an intact barrier, which may actually impede drug delivery to the tumor [99]. Thus, pharmacological approaches require a delicate balance: one might open the BBB with one agent while delivering a second agent or design a drug that subverts BBB transport mechanisms altogether. Thus, pharmacological strategies aim either to bypass BBB defenses or temporarily disable those defenses. While purely pharmacologic BBB modulation has yet to yield a breakthrough in GBM therapy, it remains an area of active research, especially in combination with other methods.

5.2 Physical and biophysical disruption approaches

Given the insights gained from pharmacologic methods, a number of physical techniques have been developed to breach the BBB/BTB in GBM patients. These approaches directly disrupt the barrier or circumvent it, often transiently and in a targeted fashion. Focused ultrasound (FUS) with microbubbles uses low-intensity ultrasound beams, targeted to the tumor region, in combination with circulating microbubble contrast agents [100]. The ultrasound causes the microbubbles to oscillate and produce mechanical opening of tight junctions in the local vasculature [101]. Magnetic resonance-guided FUS (MRgFUS) can localize this effect precisely. Idbaih et al. showed that pulsed ultrasound via an implanted device safely opened the BBB in recurrent GBM, evidenced by gadolinium uptake on MRI, and early data hinted at improved chemotherapy concentrations in tumor tissue [102]. Indeed, FUS produces a 4–6 h window of enhanced permeability, allowing intravenous chemotherapy, like doxorubicin or TMZ, to penetrate more effectively [103]. Excitingly, FUS is also being combined with immunotherapy: an in vivo study demonstrated that FUS BBB opening can potentiate anti-PD-1 checkpoint therapy by increasing lymphocyte infiltration into GBM [104].

As an alternative strategy to opening the BBB from within, convection enhanced delivery (CED) bypasses it by surgically placing one or more catheters directly into the tumor or resection cavity and infusing therapy under positive pressure [105, 106]. This creates a bulk flow that carries drug molecules into the brain tissue, allowing for greater concentration delivery than IV administration of a therapy [107]. Furthermore, infusion of MRI-contrast enhancing agents, like gadolinium, can map the volume of distribution during CED, allowing clinicians to tailor infusion rates or catheter positions in real time. While still an invasive approach, CED effectively circumvents the BBB and continues to be a viable approach for treatment delivery in the perioperative period of recurrent GBM. Furthurmore, a recent study showed that osmotic opening of the BBB with 25% mannitol +4% NaCl (doubling osmotic power) in mice resulted in wider, hemisphere-scale BBB permeabilization compared with mannitol alone, with significantly higher brain uptake of 89Zr-labeled antibodies on PET; IA delivery outperformed IV, and serial MRI/histology showed no edema or injury up to 7 days. This refines OBBBO by boosting efficacy without increasing infusion rate and suggests a safer, more effective SIACI protocol for the delivery of large molecules [108].

5.3 Immunotherapeutic strategies and BBB modulation

Immunotherapy for GBM faces unique hurdles, one being the BBB, which limits immune cell entry and immuno-modulatory drug delivery. Innovative strategies are therefore focusing on modulating the BBB or exploiting immune pathways to penetrate it. Chimeric antigen receptor (CAR) T-cells targeting GBM-associated antigens have shown some dramatic responses in early trials, but getting these T-cells to the tumor is challenging [109]. The brain’s relative immune privilege and the BBB impede T-cell trafficking from blood to tumor parenchyma [110]. To address this, most GBM CAR-T trials have delivered the cells locally, either directly into the resection cavity, or intraventricularly via an Ommaya reservoir [111113]. For example, IL13Rα2-specific CAR-T cells were infused into the post-surgical cavity and ventricular system; several patients had transient tumor regressions and one patient survived over 5 years [114]. This suggests CAR-T cells can exert potent effects if they can be delivered past the BBB. There is evidence that CAR-T cells administered systemically can infiltrate GBM to some degree as O’Rourke and colleagues demonstrated that EGFRvIII CAR-T cells given intravenously were later detectable in GBM tissue, indicating they crossed into the tumor [115]. However, the efficiency of this trafficking is low as evidenced by the numerous clinical trials administering CAR T cells through more direct methods, such as intrathecal or CED. One method of overcoming the lack of CAR T cell infiltration to the tumor is through the functionalization of CAR-T cells with chemokine receptors, like CXCR4 or CCR2, to attract them to chemokines emitted by the tumor, thereby enhancing migration across the endothelium [116, 117]. Preclinical results show that such modifications increase CAR-T accumulation in brain tumors and improve survival in mice [116]. Overall, while CAR-T therapy holds promise, its efficacy in GBM requires working around the trafficking obstacles posed by the BBB. Figure 1 recapitulates how GBM remaps the BBB’s neurovasculature.

Figure 1
Illustrative diagram showing the blood-brain/tumor barrier in glioblastoma (GBM), highlighting perivascular hitchhiking, hypoxia/VEGF surge, and junctional collapse. Includes detailed cellular interactions, protein expressions, and mechanisms like ICAM-1/VCAM-1 levels, cytokine presence, gene expression pathways, and cellular responses involved in the immune interaction and drug delivery challenges. The layout shows the transition from brain structures to cellular levels, emphasizing pathways impacted by GBM.

Figure 1. State-resolved BBB/BTB in GBM: Barrier phenotypes orchestrate delivery and immunity. This figure recapitulates how glioblastoma re-maps the neurovascular unit from efflux-protected, co-opted edge (tight junction-intact, high P-gp/BCRP, low ICAM-1/VCAM-1 and CXCL12) to a hypoxia/VEGF-driven dominated transition (ANG2-mediated pericyte loss, ZO-1 mislocalization, transcytosis/PLVAP upshift, patchy flow) to junctional collapse in the core (paracellular gaps, PLVAP-high endothelium, edema/high IFP). Under states, permeability, perfusion, and efflux get uncoupled, so enhancement does not equate to exposure. These conversions are made by the immune layer: from rim exclusion, to partial arrest in the transition zone, to diapedesis within a myeloid-suppressive core (PD-L1, TGF-β/IL-10). The schematic provokes state-matched immune evasion tactics: normalization windows or CED for leaky, under-perfused cores; and suggests trials stratified by BBB/BTB phenotype and matched with delivery endpoints (tissue drug, efflux/ICAM readouts, CD8 ingress).

Interestingly, some immunotherapies can directly alter BBB properties. Cytokine therapies like IL-2 or IFN-γ can make the BBB more permeable by inducing endothelial inflammation [118120]. While the increased permeability can help immune cells traffic to the site of the tumor, this carries the inherent risk of fluid overload and subsequent cerebral edema [121]. Even checkpoint blockade itself, if effective, may trigger an immune response that secondarily opens the BBB [52, 122, 123]. Moreover, there is interest in targeting myeloid cells (like tie2-expressing macrophages) that regulate vessel permeability; depleting or reprogramming these cells could harden the BBB against tumor-favoring leaks while enabling leukocyte transmigration [124, 125]. Notably, bevacizumab does not need to cross into tumor cells; it binds VEGF in the extracellular space. When given to GBM patients, it often causes a rapid “normalization” of tumor vasculature, within days, MRI shows reduced contrast enhancement and vasogenic edema, reflecting a restoration of BBB tightness. This can greatly improve symptoms through decreased cerebral edema, thus resulting in decreased ICP. However, by decreasing the vascular permeability of a leaky BTB, bevacizumab might impair delivery of concurrently given chemotherapies to the tumor [99]. There is evidence that bevacizumab’s effects include increased pericyte coverage and deposition of basement membrane around vessels (i.e., a more intact BBB) [126]. From a translational standpoint, bevacizumab failed to extend overall survival in newly diagnosed GBM trials, despite prolonging progression-free survival [28]. Furthermore, relapse following bevacizumab therapy results in tumors that recur in non-enhancing ways, infiltrating far from the original core, presumably in regions where an intact BBB shielded cells from therapy [127]. Therefore, immunotherapeutic strategies for GBM may ultimately benefit from further understanding of the tumor BBB. As our understanding deepens, we expect to see immunotherapy protocols that deliberately include a BBB modulation component, making the CNS tumor microenvironment more permissive for an immune attack.

5.4 Safety considerations

BBB-targeting strategies enhance delivery yet bring unique risks that should be managed prospectively. Vascular normalization (anti-VEGF) may alleviate edema but induces hypertension, thromboembolic/hemorrhagic events, and defective wound healing, and can re-tighten the barrier and decrease co-therapy penetration; careful timing and BP control mitigate this. FUS may elicit transient edema, headache, and petechial microbleeds; cavitation-based feedback, staged sonications, and PK-aligned dosing reduce this risk. Osmotic opening is effective yet nonselective, with seizure or focal-deficit risk; tight vascular-territory control and detailed hemodynamic/neurologic monitoring are necessary. CED avoids the barrier but has procedural complications such as catheter tract hemorrhage/infection and reflux/ventricular leakage; reflux-resistant cannulas, real-time distribution imaging, and stepwise flow rates reduce these. RMT/efflux strategies and nanocarriers bear the risks of off-tumor uptake, transporter pathway effects, RES accumulation, or complement activation; affinity/valency tuning, degradable cores, and complement-sparing surface chemistries help to contain this risk. Immunotherapies such as checkpoint blockade, cytokines, and CAR-T may trigger inflammatory edema, CRS/ICANS, or peritumoral swelling; route and dose tailoring along with standardized neurologic monitoring and steroid-sparing edema management are recommended. The mechanism, risks, and mitigants identified for each modality herein are cross-referenced to the failure modes/mitigations listed.

6 Clinical impact and future neurological interventions

6.1 Implications for neurosurgical planning

Maximizing safe resection in glioblastoma is critical, and BBB properties directly influence surgical strategies and planning. Fluorescence-guided resection with 5-aminolevulinic acid (5-ALA) is now an established approach to improve tumor visualization during surgery. In a landmark phase III clinical trial, 5-ALA guidance nearly doubled the rate of complete tumor resection (65% vs. 36% in white light) and significantly prolonged 6-month progression free survival (41.0% vs. 21.1% in white light) [128]. More recent clinical series have confirmed these benefits as well. In a 343-patient cohort, 5-ALA-guided surgery achieved greater gross-total resection rates (47.4% vs. 22.9%) and improved median overall survival (17.47 vs. 10.63 months) compared to conventional surgery [129]. Furthermore, the same study found that 5-ALA-guided surgery significantly reduced postoperative focal neurological deficits (23.3% vs. 44.9%) when compared to conventional surgery, most likely by helping delineate tumor margins. However, a known limitation of 5-ALA fluorescence-guided resection is that infiltrative tumor cells beyond regions of contrast enhancement or with intact BBB may not sufficiently accumulate protoporphyrin IX, the fluorescent metabolite produced after 5-ALA administration which accumulates selectively in glioma cells. This may lead to false negatives at the invasive margin, where fluorescence is absent in histologically malignant glioma tissue [130]. Thus, while fluorescence-guided resection significantly improves complete tumor resection and survival in GBM patients, the heterogeneity of BBB permeability means that neurosurgeons must remain cautious about tumor cells in non-fluorescing, BBB-intact tissue.

Beyond resection, intra-arterial therapies have re-emerged as an approach to bypass the BBB during drug delivery. Intra-arterial infusion of chemotherapy, often combined with osmotic BBB disruption using hyperosmolar mannitol, can transiently open tight junctions and flood the tumor region with high drug concentrations. Early iterations of the intra-arterial delivery mechanism were hindered by deleterious side effects, namely, decreased visual acuity, encephalopathy, and myelosuppression, to chemotherapies such as BCNU, ACNU, and cisplatin [131134]. However, modern superselective catheter techniques target tumor-feeding arteries, limiting the systemic toxicities which plagued earlier intra-arterial chemotherapy trials. For example, a 2021 phase I/II single-arm study repeated superselective intra-arterial bevacizumab after mannitol BBB disruption in newly diagnosed GBM and achieved a median overall survival of 23.1 months, with 32% of patients alive at 3 years [135]. Reported toxicities were primarily grade 1–3, including seizures, aphasia, and thromboembolic events, while no grade 4–5 toxicities were observed among evaluable patients. However, this trial lacked a control group, and larger randomized studies are needed to determine whether intra-arterial bevacizumab plus chemoradiation is superior to standard therapy alone. While these approaches are still experimental, they illustrate the principle that aggressive regional therapy can exploit areas of BBB leak or actively induce BBB permeability to improve drug uptake.

From a surgical planning perspective, knowing a tumor’s vascular supply and BBB integrity may guide the use of intra-arterial versus intravenous routes or the application of adjuncts like osmotic opening during surgery, such as intra-arterial mannitol infusion prior to resection. As an extension of neurosurgical care, combining meticulous resection, aided by 5-ALA fluorescence, with targeted intra-arterial therapies represent several forthcoming strategies to overcome the BBB barrier and treat both the core and infiltrative margins of GBM.

6.2 BBB-targeting as a therapeutic endpoint: integrating drug delivery with Immunotherapy

Given the BBB’s role in limiting both drug and immune cell entry into the brain, a growing paradigm treats the BBB itself as a modifiable therapeutic target in GBM. Rather than viewing the BBB as a static obstacle, firstly approaching the BBB proposes manipulating barrier function as a part of therapy. One specific application is in immunotherapies, where the efficacy of treatments such as immune checkpoint inhibitors (ICIs) or chimeric antigen receptor (CAR)-T cells may be blunted by poor trafficking into the tumor bed. The abnormal tumor vasculature and associated BBB dysfunction in GBM create an immune-privileged microenvironment, often excluding effector T-cells and fostering immunosuppressive myeloid cells. Consequently, systemic immunotherapies may fail to achieve adequate effector cell trafficking throughout the tumor. Approaches to integrate BBB modulation in conjunction with immunotherapy are being actively explored. Preclinical studies demonstrate that deliberately opening the BBB can synergistically enhance immunotherapeutic efficacy. In murine glioma models, low-intensity focused ultrasound (FUS) disruption of the BBB was shown to improve anti-PD-1 checkpoint blockade, evidenced by an increased median survival from 39 days with anti-PD-1 alone to 58 days with the addition of FUS. Furthermore, a subset of mice rejected contralateral hemisphere tumor rechallenge, implying a more robust immune memory [136]. The same study demonstrated that FUS-mediated BBB opening significantly increased CAR-T cell homing to intracranial tumors, approximately doubling CNS CAR-T counts, and extended survival by 129% compared with CAR-T therapy alone. Table 3 recapitulates the emerging therapeutic landscape that utilized the blood-brain-barrier as it's advantage.

Table 3
www.frontiersin.org

Table 3. Matching intervention to BBB state, payload, and endpoints.

6.3 Cross-disease lessons: Alzheimer’s, stroke, and multiple sclerosis insights for GBM

The importance of the BBB in GBM is further underscored by parallels in other neurological diseases. Insights from Alzheimer’s disease (AD), stroke, and multiple sclerosis (MS) illustrate how BBB dynamics can drive pathology and inform therapeutic strategies. Firstly, AD exemplifies how chronic barrier dysfunction can contribute to neurodegeneration. Recent research has shown that individuals carrying the APOE4 allele, a major AD risk gene, exhibited accelerated breakdown of the BBB in the hippocampus and cortex, even prior to amyloid plaque accumulation [137]. This BBB leakage correlates with cognitive decline in APOE4 carriers, independent of classic AD pathology, suggesting that a leaky BBB is itself neurotoxic and a potential therapeutic target in AD. For GBM, these observations imply that sustained BBB disruption can impair normal neural function, necessitating precise control and timing of therapeutic opening strategies. Ongoing AD trials using FUS to transiently open the BBB for enhanced drug delivery or amyloid clearance illustrate how barrier modulation itself can be leveraged therapeutically, a concept translatable to GBM where transient BBB opening may enable delivery of large biologics, cellular therapies, or nanoparticles otherwise excluded from the CNS [138, 139].

In stroke, ischemia causes tight junctions to open within hours, allowing plasma proteins and fluid to flood the brain, manifesting as vasogenic edema. This BBB breakdown is a pathological hallmark that contributes to hemorrhagic transformation and worsened outcomes if left untreated [140]. Clinically, stroke management must carefully time reperfusion therapies, such as tPA or thrombectomy, because a severely compromised BBB increases the risk of intracerebral hemorrhage upon reperfusion. In GBM, peritumoral edema frequently arises from BBB leakage and is typically managed with corticosteroids. Interventions that further perturb the BBB, including radiation or focused ultrasound, many exacerbate edema or precipitate microhemorrhages, paralleling complications observed in stroke. Stroke research emphasizes neurovascular unit protection, suggesting that adjunct therapies such as ROS scavengers or MMP inhibitors can be used to stabilize the BBB during or after aggressive interventions [141, 142]. Additionally, stroke models indicate that BBB opening may aid in clearing waste from the brain, implying that periods of BBB permeability in GBM may facilitate immune cell entry or clearance of tumor lysis products if managed and timed properly. Moving forward, lessons from stroke encourage GBM clinicians to monitor BBB status, for example, via MRI permeability imaging, after treatments such as surgery, radiation, or BBB-opening procedures, and to deploy supportive measures to mitigate harmful barrier disruption when needed.

Multiple sclerosis (MS), an autoimmune demyelinating disease, is essentially a disorder of immune cells breaching the BBB. In early MS lesions, inflammatory cytokines and activated leukocytes disrupt the endothelial junctions, enabling T-cells and macrophages to infiltrate the CNS and target myelin. Pathology and imaging studies demonstrate that BBB disruption occurs not only in active MS lesions but also in chronic lesions and normal-appearing white matter, indicating that BBB dysfunction precedes and accompanies demyelination [143]. In fact, the presence of gadolinium-enhancing lesions on MRI, indicative of focal BBB breakdown, is a diagnostic hallmark of active MS. A direct insight from MS is the success of therapies that target the BBB to modulate disease, which can be translated to GBM. Natalizumab, a monoclonal antibody targeting the α4-integrin adhesion molecule, prevents leukocytes from adhering to and crossing the BBB. By blocking immune cell transmigration at the vascular endothelium, natalizumab dramatically reduces CNS inflammation in MS [144]. This establishes that blocking the BBB can be therapeutic in an immune-driven condition, the converse of the challenge seen in GBM. However, GBM actively suppresses immune entry in part via the BBB and associated cells, such as reactive astrocytes which release factors that tighten the barrier and limit T-cell trafficking. The insights gained from BBB-derived treatments in MS suggest that specific molecular targets at the BBB could be manipulated to either enhance or reduce immune cell passage. In the case of GBM, one potential therapy could be selectively increasing effector T-cell entry while excluding immunosuppressive cells by blocking certain endothelial checkpoints that admit regulatory T-cells but not cytotoxic T-cells.

Parallels from Alzheimer’s disease, stroke, traumatic brain injuries and multiple sclerosis highlight that BBB dysfunction can drive pathology but also serve as a therapeutic target [145148]. These conditions illustrate both the risks of uncontrolled barrier disruption and the potential of targeted modulation to improve outcomes. For GBM, such lessons reinforce that precise, context-specific BBB modulation, whether to enhance drug and immune cell delivery or to limit edema and neurotoxicity, will be central to future therapeutic strategies.

7 Conclusion

Glioblastoma’s blood–brain barrier is not merely a static wall to drug delivery, but an active and heterogeneous organ that profoundly shapes therapy outcomes. As reviewed, the BBB in GBM exists on a spectrum from intact, impermeable regions at the invasive margins to leaky, abnormal vessels in the tumor core. This patchwork limits therapeutic penetration and creates sanctuary sites for tumor cells, contributing to treatment failure and relapse. In fact, even standard chemotherapies like temozolomide achieve only a fraction of their systemic concentrations in the brain due to efflux pumps and tight junctions at the BBB. The BBB thus stands as both a physical barrier to current treatments and a biological driver of GBM’s resistance and immune evasion. Recognizing this, a “BBB-first” paradigm has emerged treating the barrier itself as a therapeutic target rather than an afterthought. By viewing the BBB as a measurable, druggable interface, we can aim to modulate its properties (tight junction integrity, transporter activity, and permeability) to improve drug and immune cell entry into the tumor.

Importantly, overcoming GBM’s notorious therapeutic resistance will require interdisciplinary strategies that bridge biophysics, neuroscience, and oncology. A key lesson from recent advances is that no single approach is sufficient. Instead, combining insights from multiple disciplines offers the best promise for breaching this tumor’s defenses. Biophysical innovations are allowing us to map and manipulate the BBB like never before. Advanced imaging techniques (e.g., DCE-MRI, PET) now quantify regional BBB permeability in vivo, guiding where to target treatments. Microfluidic models and “organ-on-a-chip” systems simulate drug and nanoparticle transport across a human BBB, predicting delivery efficacy before clinical trials. Physical delivery methods such as focused ultrasound (FUS) with microbubbles can reversibly open tight junctions in a targeted manner, creating a 4–6 h window for therapeutics to flood into the tumor bed. Early clinical studies show that FUS-induced BBB opening increases chemotherapy accumulation in GBM and may even enhance immunotherapy by boosting T-cell infiltration. Likewise, convection enhanced delivery bypasses the BBB entirely via catheters, achieving drug concentrations in the tumor that systemic infusion cannot. Each of these tools, imaging, modeling, and focused delivery, arises from fields outside traditional oncology, yet together they are addressing the BBB challenge head-on.

Equally crucial is integrating these biophysical tools with biological and pharmacological innovations. GBM researchers are leveraging molecular biology and immunology to turn the BBB from an obstacle into an ally. For example, single-cell RNA sequencing and spatial transcriptomics have exposed novel molecular targets in the tumor-associated endothelium and pericytes that regulate barrier leakiness and immune cell trafficking. Exploiting such targets can recalibrate the barrier: recent work identified an IL-6/STAT3 signaling axis by which glioma cells induce barrier permeability, and blocking this pathway was shown to tighten the BBB or, conversely, could be timed to loosen it for drug entry. Similarly, nanomedicine and medicinal chemistry are producing therapies optimized for BBB traversal, from receptor-mediated transcytosis shuttles to lipophilic prodrugs, ensuring drugs reach infiltrative tumor cells shielded by an intact BBB. On the immune front, strategies like locally delivered CAR-T cells or immune cell attractants (chemokine receptor engineering) are being employed so that immunotherapies can penetrate the tumor’s protective vascular niche. Notably, these approaches underscore the need to finely tune the BBB: opening it enough to let drugs and effector cells in, while avoiding excessive disruption that could harm normal brain function (a lesson reinforced by parallels in stroke and neuroinflammation). In essence, the most promising breakthroughs arise when engineering solutions (e.g., FUS, nanocarriers), biophysical modeling, and oncologic therapies are designed in concert.

In summary, the BBB in glioblastoma should be viewed as both a challenge and an opportunity. It remains a major reason why many conventional and experimental treatments fall short, but it is also a key to unlocking improved outcomes. By treating the BBB as a controllable variable, something that can imaged, modeled, targeted, and transiently modified, next-generation therapies can be tailored to each tumor’s barrier phenotype. Interdisciplinary collaboration is driving this shift: neurosurgeons, bioengineers, neuro-oncologists, and immunologists are together devising ways to deliver drugs and immune cells past the BBB safely and more uniformly. The ultimate vision is a precision neuro-oncology approach in which BBB characteristics guide therapy selection and delivery method. Through such a BBB-centric framework, the field can convert the current barrier heterogeneity from a source of therapy resistance into a design criterion for personalized treatment. Harnessing both the biological insights and the biophysical tools at our disposal, we can begin to erode GBM’s defenses, not by circumventing the blood–brain barrier, but by actively engaging and remolding it as part of the treatment strategy.

Author contributions

MA: Investigation, Writing – review and editing, Conceptualization, Visualization, Writing – original draft. MS: Methodology, Writing – review and editing, Writing – original draft, Investigation. JuL: Supervision, Writing – original draft, Investigation, Writing – review and editing, Project administration. GN: Validation, Writing – original draft, Writing – review and editing, Investigation. JH: Writing – review and editing, Methodology, Writing – original draft, Conceptualization. JW: Investigation, Writing – review and editing, Writing – original draft. AR: Investigation, Writing – original draft; Software; Writing – review and editing. JS: Writing – original draft, Investigation, Writing – review and editing. JaL: Writing – review and editing, Resources, Software, Writing – original draft, Investigation. KC: Investigation, Writing – original draft, Writing – review and editing, Methodology. RV: Writing – review and editing; formal analysis; Writing – original draft; RM: Writing – original draft; Investigation; Writing – review and editing. MB: Writing – original draft, Investigation, Writing – review and editing, Methodology. ML: Supervision, Writing – review and editing, Writing – original draft, Conceptualization.

Funding

The authors declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

ML: Funding from Arbor Pharmaceuticals, Accuracy, BMS, Novartis; Consultant: BMS, Merck, SQZ Biotechnologies, Tocagen, VBI; Patents: Combining Focused Radiation and Immunotherapy, Combining Local Chemotherapy and Immunotherapy; Shareholder: Egret Therapeutics. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Torp SH, Solheim O, Skjulsvik AJ. The WHO 2021 classification of central nervous system tumours: a practical update on what neurosurgeons need to know-a minireview. Acta Neurochir (Wien) (2022) 164:2453–64. doi:10.1007/s00701-022-05301-y

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Price L, Wilson C, Grant G. Blood–brain barrier pathophysiology following traumatic brain injury. In: D Laskowitz, and G Grant, editors. Translational research in traumatic brain injury. Boca Raton, FL: CRC Press/Taylor and Francis Group (2016). Available online at: http://www.ncbi.nlm.nih.gov/books/NBK326726/ (Accessed January 22, 2025).

Google Scholar

3. Abikenari M, Schonfeld E, Choi J, Kim LH, Lim M. Revisiting glioblastoma classification through an immunological lens: a narrative review. Glioma (2024) 7:3–9. doi:10.4103/glioma.glioma_4_24

CrossRef Full Text | Google Scholar

4. Abikenari MA, Enayati I, Fountain DM, Leite MI. Navigating glioblastoma therapy: a narrative review of emerging immunotherapeutics and small-molecule inhibitors. Microbes Immun (2024) 2024:5075. doi:10.36922/mi.5075

CrossRef Full Text | Google Scholar

5. Thakkar JP, Dolecek TA, Horbinski C, Ostrom QT, Lightner DD, Barnholtz-Sloan JS, et al. Epidemiologic and molecular prognostic review of glioblastoma. Cancer Epidemiol Biomarkers Prev (2014) 23(10):1985–96. doi:10.1158/1055-9965.EPI-14-0275

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Stupp R, Taillibert S, Kanner A, Read W, Steinberg DM, Lhermitte B, et al. Effect of tumor-treating fields plus maintenance temozolomide vs maintenance temozolomide alone on survival in patients with glioblastoma: a randomized clinical trial. JAMA (2017) 318:2306–16. doi:10.1001/jama.2017.18718

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Arvanitis CD, Ferraro GB, Jain RK. The blood–brain barrier and blood–tumour barrier in brain tumours and metastases. Nat Rev Cancer (2019) 20:26–41. doi:10.1038/s41568-019-0205-x

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Testa E, Palazzo C, Mastrantonio R, Viscomi MT. Dynamic interactions between tumor cells and brain microvascular endothelial cells in glioblastoma. Cancers (2022) 14:3128. doi:10.3390/cancers14133128

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Khoonkari M, Liang D, Kamperman M, Kruyt FAE, van Rijn P. Physics of brain cancer: multiscale alterations of glioblastoma cells under extracellular matrix stiffening. Pharmaceutics (2022) 14(5):1031. doi:10.3390/pharmaceutics14051031

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Digiovanni S, Lorenzati M, Bianciotto OT, Godel M, Fontana S, Akman M, et al. Blood-brain barrier permeability increases with the differentiation of glioblastoma cells in vitro. Fluids Barriers CNS (2024) 21:89. doi:10.1186/s12987-024-00590-0

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Daneman R, Prat A. The blood-brain barrier. Cold Spring Harb Perspect Biol (2015) 7:a020412. doi:10.1101/cshperspect.a020412

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ben-Zvi A, Lacoste B, Kur E, Andreone BJ, Mayshar Y, Yan H, et al. Mfsd2a is critical for the formation and function of the blood–brain barrier. Nature (2014) 509:507–11. doi:10.1038/nature13324

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Abbott NJ, Rönnbäck L, Hansson E. Astrocyte-endothelial interactions at the blood-brain barrier. Nat Rev Neurosci (2006) 7:41–53. doi:10.1038/nrn1824

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Alvarez JI, Dodelet-Devillers A, Kebir H, Ifergan I, Fabre PJ, Terouz S, et al. The hedgehog pathway promotes blood-brain barrier integrity and CNS immune quiescence. Science (2011) 334:1727–31. doi:10.1126/science.1206936

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Armulik A, Genové G, Mäe M, Nisancioglu MH, Wallgard E, Niaudet C, et al. Pericytes regulate the blood–brain barrier. Nature (2010) 468:557–61. doi:10.1038/nature09522

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Seano G, Jain RK. Vessel co-option in glioblastoma: emerging insights and opportunities. Angiogenesis (2020) 23:9–16. doi:10.1007/s10456-019-09691-z

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Salimi H, Klein RS. Disruption of the blood-brain barrier during neuroinflammatory and neuroinfectious diseases. Neuroimmune Dis (2019) 195–234. doi:10.1007/978-3-030-19515-1_7

CrossRef Full Text | Google Scholar

18. Yang Y, Rosenberg GA. MMP-mediated disruption of claudin-5 in the blood-brain barrier of rat brain after cerebral ischemia. Methods Mol Biol Clifton NJ (2011) 762:333–45. doi:10.1007/978-1-61779-185-7_24

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Mokoena X, Mabeta P, Cordier W, Flepisi BT. Glioblastoma cells alter brain endothelial cell homeostasis and tight junction protein expression in vitro. J Neurooncol (2025) 171:443–53. doi:10.1007/s11060-024-04870-5

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Halder SK, Sapkota A, Milner R. The importance of laminin at the blood-brain barrier. Neural Regen Res (2023) 18:2557–63. doi:10.4103/1673-5374.373677

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Hoddevik EH, Rao SB, Zahl S, Boldt HB, Ottersen OP, Amiry-Moghaddam M. Organisation of extracellular matrix proteins laminin and agrin in pericapillary basal laminae in mouse brain. Brain Struct Funct (2020) 225(2):805–16. doi:10.1007/s00429-020-02036-3

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Cheng L, Huang Z, Zhou W, Wu Q, Donnola S, Liu JK, et al. Glioblastoma stem cells generate vascular pericytes to support vessel function and tumor growth. Cell (2013) 153:139–52. doi:10.1016/j.cell.2013.02.021

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Brighi C, Reid L, Genovesi LA, Kojic M, Millar A, Bruce Z, et al. Comparative study of preclinical mouse models of high-grade glioma for nanomedicine research: the importance of reproducing blood-brain barrier heterogeneity. Theranostics (2020) 10:6361–71. doi:10.7150/thno.46468

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Voron T, Colussi O, Marcheteau E, Pernot S, Nizard M, Pointet A-L, et al. VEGF-A modulates expression of inhibitory checkpoints on CD8+ T cells in tumors. J Exp Med (2015) 212:139–48. doi:10.1084/jem.20140559

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Keunen O, Johansson M, Oudin A, Sanzey M, Rahim SAA, Fack F, et al. Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma. Proc Natl Acad Sci U S A (2011) 108:3749–54. doi:10.1073/pnas.1014480108

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Bell RD, Winkler EA, Singh I, Sagare AP, Deane R, Wu Z, et al. Apolipoprotein E controls cerebrovascular integrity via cyclophilin A. Nature (2012) 485:512–6. doi:10.1038/nature11087

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Feng Y, Ge Y, Wu M, Xie Y, Wang M, Chen Y, et al. Long non-coding RNAs regulate inflammation in diabetic peripheral neuropathy by acting as ceRNAs targeting miR-146a-5p. Diabetes Metab Syndr Obes Targets Ther (2020) 13:413–22. doi:10.2147/dmso.s242789

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Piper K, Kumar JI, Domino J, Tuchek C, Vogelbaum MA. Consensus review on strategies to improve delivery across the blood-brain barrier including focused ultrasound. Neuro Oncol (2024) 26(9):1545–56. doi:10.1093/neuonc/noae087

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Oberoi RK, Parrish KE, Sio TT, Mittapalli RK, Elmquist WF, Sarkaria JN. Strategies to improve delivery of anticancer drugs across the blood-brain barrier to treat glioblastoma. Neuro Oncol (2016) 18(1):27–36. doi:10.1093/neuonc/nov164

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Medikonda R, Abikenari M, Schonfeld E, Lim M. The metabolic orchestration of immune evasion in glioblastoma: from molecular perspectives to therapeutic vulnerabilities. Cancers (2025) 17:1881. doi:10.3390/cancers17111881

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Xie Y, Yang F, He L, Huang H, Chao M, Cao H, et al. Single-cell dissection of the human blood-brain barrier and glioma blood-tumor barrier. Neuron (2024) 112:3089–105.e7. doi:10.1016/j.neuron.2024.07.026

PubMed Abstract | CrossRef Full Text | Google Scholar

32. van Tellingen O, Yetkin-Arik B, de Gooijer MC, Wesseling P, Wurdinger T, de Vries HE. Overcoming the blood–brain tumor barrier for effective glioblastoma treatment. Drug Resist Updat (2015) 19:1–12. doi:10.1016/j.drup.2015.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Kadry H, Noorani B, Cucullo L. A blood–brain barrier overview on structure, function, impairment, and biomarkers of integrity. Fluids Barriers CNS (2020) 17:69. doi:10.1186/s12987-020-00230-3

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tietz S, Engelhardt B. Brain barriers: crosstalk between complex tight junctions and adherens junctions. J Cell Biol (2015) 209:493–506. doi:10.1083/jcb.201412147

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Mastorakos P, McGavern D. The anatomy and immunology of vasculature in the central nervous system. Sci Immunol (2019) 4:eaav0492. doi:10.1126/sciimmunol.aav0492

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Abbott NJ, Patabendige AAK, Dolman DEM, Yusof SR, Begley DJ. Structure and function of the blood–brain barrier. Neurobiol Dis (2010) 37:13–25. doi:10.1016/j.nbd.2009.07.030

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Zhao Y, Gan L, Ren L, Lin Y, Ma C, Lin X. Factors influencing the blood-brain barrier permeability. Brain Res (2022) 1788:147937. doi:10.1016/j.brainres.2022.147937

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Brunner N, Stein L, Cornelius V, Knittel R, Fallier-Becker P, Amasheh S. Blood-brain barrier protein claudin-5 expressed in paired xenopus laevis oocytes mediates cell-cell interaction. Front Physiol (2020) 11:857. doi:10.3389/fphys.2020.00857

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Winkler L, Blasig R, Breitkreuz-Korff O, Berndt P, Dithmer S, Helms HC, et al. Tight junctions in the blood–brain barrier promote edema formation and infarct size in stroke – ambivalent effects of sealing proteins. J Cereb Blood Flow Amp Metab (2020) 41:132–45. doi:10.1177/0271678x20904687

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Lindahl P, Johansson BR, Levéen P, Betsholtz C. Pericyte loss and microaneurysm formation in PDGF-B-deficient mice. Science (1997) 277:242–5. doi:10.1126/science.277.5323.242

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Hall CN, Reynell C, Gesslein B, Hamilton NB, Mishra A, Sutherland BA, et al. Capillary pericytes regulate cerebral blood flow in health and disease. Nature (2014) 508:55–60. doi:10.1038/nature13165

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Michinaga S, Koyama Y. Dual roles of astrocyte-derived factors in regulation of blood-brain barrier function after brain damage. Int J Mol Sci (2019) 20:571. doi:10.3390/ijms20030571

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Yao Y. Neoadjuvant PD-1 antibody alone or combined with autologous glioblastoma stem-like cell antigens-primed DC vaccines (GSC-DCV) for patients with recurrent glioblastoma: a phase II, randomized controlled, double blind clinical trial. Clinical Trial Registration NCT04888611, clinicaltrials.gov (2022). Available online at: https://clinicaltrials.gov/study/NCT04888611.

Google Scholar

44. Neuwelt EA, Bauer B, Fahlke C, Fricker G, Iadecola C, Janigro D, et al. Engaging neuroscience to advance translational research in brain barrier biology. Nat Rev Neurosci (2011) 12:169–82. doi:10.1038/nrn2995

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Lin L, Yee SW, Kim RB, Giacomini KM. SLC transporters as therapeutic targets: emerging opportunities. Nat Rev Drug Discov (2015) 14:543–60. doi:10.1038/nrd4626

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Ohtsuki S, Terasaki T. Contribution of carrier-mediated transport systems to the blood–brain barrier as a supporting and protecting interface for the brain; importance for CNS drug discovery and development. Pharm Res (2007) 24:1745–58. doi:10.1007/s11095-007-9374-5

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Verscheijden LFM, van Hattem AC, Pertijs JCLM, de Jongh CA, Verdijk RM, Smeets B, et al. Developmental patterns in human blood–brain barrier and blood–cerebrospinal fluid barrier ABC drug transporter expression. Histochem Cell Biol (2020) 154:265–73. doi:10.1007/s00418-020-01884-8

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Morris AWJ, Sharp MM, Albargothy NJ, Fernandes R, Hawkes CA, Verma A, et al. Vascular basement membranes as pathways for the passage of fluid into and out of the brain. Acta Neuropathol (Berl) (2016) 131:725–36. doi:10.1007/s00401-016-1555-z

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Carare RO, Bernardes-Silva M, Newman TA, Page AM, Nicoll JAR, Perry VH, et al. Solutes, but not cells, drain from the brain parenchyma along basement membranes of capillaries and arteries: significance for cerebral amyloid angiopathy and neuroimmunology. Neuropathol Appl Neurobiol (2008) 34:131–44. doi:10.1111/j.1365-2990.2007.00926.x

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Troili F, Cipollini V, Moci M, Morena E, Palotai M, Rinaldi V, et al. Perivascular unit: this must be the place. The anatomical crossroad between the immune, vascular and nervous system. Front Neuroanat (2020) 14:17. doi:10.3389/fnana.2020.00017

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Greter M, Heppner FL, Lemos MP, Odermatt BM, Goebels N, Laufer T, et al. Dendritic cells permit immune invasion of the CNS in an animal model of multiple sclerosis. Nat Med (2005) 11:328–34. doi:10.1038/nm1197

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Ostrom QT, Price M, Neff C, Cioffi G, Waite KA, Kruchko 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(12 Suppl. 2):iv1–iv99. doi:10.1093/neuonc/noad149

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Yan H, Parsons DW, Jin G, McLendon R, Rasheed BA, Yuan W, et al. IDH1 and IDH2 mutations in gliomas. N Engl J Med (2009) 360(8):765–73. doi:10.1056/NEJMoa0808710

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Ostrom QT, Cote DJ, Ascha M, Kruchko C, Barnholtz-Sloan JS. Adult glioma incidence and survival by race or ethnicity in the United States from 2000 to 2014. JAMA Oncol (2018) 4(9):1254–62. doi:10.1001/jamaoncol.2018.1789

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Wälchli T, Ghobrial M, Schwab M, Takada S, Zhong H, Suntharalingham S, et al. Single-cell atlas of the human brain vasculature across development, adulthood and disease. Nature (2024) 632:603–13. doi:10.1038/s41586-024-07493-y

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Magnussen AL, Mills IG. Vascular normalisation as the stepping stone into tumour microenvironment transformation. Br J Cancer (2021) 125:324–36. doi:10.1038/s41416-021-01330-z

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Martin JD, Seano G, Jain RK. Normalizing function of tumor vessels: progress, opportunities, and challenges. Annu Rev Physiol (2019) 81:505–34. doi:10.1146/annurev-physiol-020518-114700

PubMed Abstract | CrossRef Full Text | Google Scholar

58. van Dijken BRJ, van Laar PJ, Smits M, Dankbaar JW, Enting RH, van der Hoorn A. Perfusion MRI in treatment evaluation of glioblastomas: clinical relevance of current and future techniques. J Magn Reson Imaging (2019) 49:11–22. doi:10.1002/jmri.26306

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Woodall RT, Sahoo P, Cui Y, Chen BT, Shiroishi MS, Lavini C, et al. Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma. Neuro-oncol Adv (2021) 3:vdab174. doi:10.1093/noajnl/vdab174

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Bou-Gharios J, Noël G, Burckel H. Preclinical and clinical advances to overcome hypoxia in glioblastoma multiforme. Cell Death Dis (2024) 15:503. doi:10.1038/s41419-024-06904-2

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Planès C, Blot-Chabaud M, Matthay MA, Couette S, Uchida T, Clerici C. Hypoxia and beta 2-agonists regulate cell surface expression of the epithelial sodium channel in native alveolar epithelial cells. J Biol Chem (2002) 277:47318–24. doi:10.1074/jbc.M209158200

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Scholz A, Harter PN, Cremer S, Yalcin BH, Gurnik S, Yamaji M, et al. Endothelial cell-derived angiopoietin-2 is a therapeutic target in treatment-naive and bevacizumab-resistant glioblastoma. EMBO Mol Med (2016) 8:39–57. doi:10.15252/emmm.201505505

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Saharinen P, Eklund L, Alitalo K. Therapeutic targeting of the angiopoietin–TIE pathway. Nat Rev Drug Discov (2017) 16:635–61. doi:10.1038/nrd.2016.278

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Teichert M, Milde L, Holm A, Stanicek L, Gengenbacher N, Savant S, et al. Pericyte-expressed Tie2 controls angiogenesis and vessel maturation. Nat Commun (2017) 8:16106. doi:10.1038/ncomms16106

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Pichol-Thievend C, Anezo O, Pettiwala AM, Bourmeau G, Montagne R, Lyne A-M, et al. VC-resist glioblastoma cell state: vessel co-option as a key driver of chemoradiation resistance. Nat Commun (2024) 15:3602. doi:10.1038/s41467-024-47985-z

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Cai Q, Li X, Xiong H, Fan H, Gao X, Vemireddy V, et al. Optical blood-brain-tumor barrier modulation expands therapeutic options for glioblastoma treatment. Nat Commun (2023) 14:4934. doi:10.1038/s41467-023-40579-1

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Friebel E, Kapolou K, Unger S, Núñez NG, Utz S, Rushing EJ, et al. Single-cell mapping of human brain cancer reveals tumor-specific instruction of tissue-invading leukocytes. Cell (2020) 181:1626–42.e20. doi:10.1016/j.cell.2020.04.055

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Zarodniuk M, Steele A, Lu X, Li J, Datta M. CNS tumor stroma transcriptomics identify perivascular fibroblasts as predictors of immunotherapy resistance in glioblastoma patients. Npj Genomic Med (2023) 8:35. doi:10.1038/s41525-023-00381-w

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Mokarram N, Case A, Hossainy NN, Lyon JG, MacDonald TJ, Bellamkonda R. Device-assisted strategies for drug delivery across the blood-brain barrier to treat glioblastoma. Commun Mater (2025) 6:5. doi:10.1038/s43246-024-00721-y

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Leten C, Struys T, Dresselaers T, Himmelreich U. In vivo and ex vivo assessment of the blood brain barrier integrity in different glioblastoma animal models. J Neurooncol (2014) 119:297–306. doi:10.1007/s11060-014-1514-2

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Lemée J-M, Clavreul A, Menei P. Intratumoral heterogeneity in glioblastoma: don’t forget the peritumoral brain zone. Neuro-Oncol (2015) 17:1322–32. doi:10.1093/neuonc/nov119

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Henriksen OM, Muhic A, Lundemann MJ, Larsson HBW, Lindberg U, Andersen TL, et al. Added prognostic value of DCE blood volume imaging in patients with suspected recurrent or residual glioblastoma—A hybrid [18F]FET PET/MRI study. Neuro-oncol Adv (2024) 6:vdae196. doi:10.1093/noajnl/vdae196

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Chung KJ, Abdelhafez YG, Spencer BA, Jones T, Tran Q, Nardo L, et al. Quantitative PET imaging and modeling of molecular blood-brain barrier permeability. Nat Commun (2025) 16:3076. doi:10.1038/s41467-025-58356-7

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Manabe O, Yamaguchi S, Hirata K, Kobayashi K, Kobayashi H, Terasaka S, et al. Preoperative texture analysis using 11C-methionine positron emission tomography predicts survival after surgery for glioma. Diagnostics (2021) 11:189. doi:10.3390/diagnostics11020189

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Salvador E, Kessler AF, Domröse D, Hörmann J, Schaeffer C, Giniunaite A, et al. Tumor treating fields (TTFields) reversibly permeabilize the blood–brain barrier in vitro and in vivo. Biomolecules (2022) 12:1348. doi:10.3390/biom12101348

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Schubert MC, Soyka SJ, Tamimi A, Maus E, Schroers J, Wißmann N, et al. Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis. Nat Commun (2024) 15:7383. doi:10.1038/s41467-024-51432-4

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Lam FC, Morton SW, Wyckoff J, Vu Han T-L, Hwang MK, Maffa A, et al. Enhanced efficacy of combined temozolomide and bromodomain inhibitor therapy for gliomas using targeted nanoparticles. Nat Commun (2018) 9:1991. doi:10.1038/s41467-018-04315-4

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Masud N, Hasib MHH, Ibironke B, Block C, Hughes J, Ekpenyong A, et al. Exploring the heterogeneity in glioblastoma cellular mechanics using in-vitro assays and atomic force microscopy. Sci Rep (2025) 15(1):19302. doi:10.1038/s41598-025-04841-4

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Carlos M, KeeSiang L, Giacomo N, Pokrovsky VS, João C, Francesco Simone R. Nanoscale analysis beyond imaging by atomic force microscopy: molecular perspectives on oncology and neurodegeneration. Small Sci (2025) 5:2500351. doi:10.1002/smsc.202500351

CrossRef Full Text | Google Scholar

80. Lockman PR, Mittapalli RK, Taskar KS, Rudraraju V, Gril B, Bohn KA, et al. Heterogeneous blood–tumor barrier permeability determines drug efficacy in experimental brain metastases of breast cancer. Clin Cancer Res (2010) 16:5664–78. doi:10.1158/1078-0432.ccr-10-1564

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Fine RL, Chen J, Balmaceda C, Bruce JN, Huang M, Desai M, et al. Randomized study of paclitaxel and tamoxifen deposition into human brain tumors: implications for the treatment of metastatic brain tumors. Clin Cancer Res (2006) 12:5770–6. doi:10.1158/1078-0432.ccr-05-2356

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Hwang I, Choi SH, Park C-K, Kim TM, Park S-H, Won JK, et al. Dynamic contrast-enhanced MR imaging of nonenhancing T2 high-signal-intensity lesions in baseline and posttreatment glioblastoma: temporal change and prognostic value. Am J Neuroradiol (2020) 41:49–56. doi:10.3174/ajnr.a6323

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Little RA, Barjat H, Hare JI, Jenner M, Watson Y, Cheung S, et al. Evaluation of dynamic contrast-enhanced MRI biomarkers for stratified cancer medicine: how do permeability and perfusion vary between human tumours? Magn Reson Imaging (2018) 46:98–105. doi:10.1016/j.mri.2017.11.008

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Harris WJ, Asselin M-C, Hinz R, Parkes LM, Allan S, Schiessl I, et al. In vivo methods for imaging blood–brain barrier function and dysfunction. Eur J Nucl Med Mol Imaging (2023) 50:1051–83. doi:10.1007/s00259-022-05997-1

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Straehla JP, Hajal C, Safford HC, Offeddu GS, Boehnke N, Dacoba TG, et al. A predictive microfluidic model of human glioblastoma to assess trafficking of blood–brain barrier-penetrant nanoparticles. Proc Natl Acad Sci (2022) 119:e2118697119. doi:10.1073/pnas.2118697119

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Vatine GD, Barrile R, Workman MJ, Sances S, Barriga BK, Rahnama M, et al. Human iPSC-derived blood-brain barrier chips enable disease modeling and personalized medicine applications. Cell Stem Cell (2019) 24:995–1005.e6. doi:10.1016/j.stem.2019.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Linville RM, DeStefano JG, Sklar MB, Xu Z, Farrell AM, Bogorad MI, et al. Human iPSC-derived blood-brain barrier microvessels: validation of barrier function and endothelial cell behavior. Biomaterials (2019) 190–191:24–37. doi:10.1016/j.biomaterials.2018.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Campisi M, Shin Y, Osaki T, Hajal C, Chiono V, Kamm RD. 3D self-organized microvascular model of the human blood-brain barrier with endothelial cells, pericytes and astrocytes. Biomaterials (2018) 180:117–29. doi:10.1016/j.biomaterials.2018.07.014

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Karnati HK, Panigrahi M, Shaik NA, Greig NH, Bagadi SAR, Kamal M, et al. Down regulated expression of Claudin-1 and Claudin-5 and up regulation of B-catenin: association with human glioma progression. CNS Neurol Disord Drug Targets (2014) 13:1413–26. doi:10.2174/1871527313666141023121550

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Li Y, Wu C, Long X, Wang X, Gao W, Deng K, et al. Single-cell transcriptomic analysis of glioblastoma reveals pericytes contributing to the blood–brain–tumor barrier and tumor progression. MedComm (2024) 5:e70014. doi:10.1002/mco2.70014

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Ren Y, Huang Z, Zhou L, Xiao P, Song J, He P, et al. Spatial transcriptomics reveals niche-specific enrichment and vulnerabilities of radial glial stem-like cells in malignant gliomas. Nat Commun (2023) 14:1028. doi:10.1038/s41467-023-36707-6

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Jimenez-Macias JL, Vaughn-Beaucaire P, Bharati A, Xu Z, Forrest M, Hong J, et al. Modulation of blood-tumor barrier transcriptional programs improves intratumoral drug delivery and potentiates chemotherapy in GBM. Sci Adv (2025) 11:eadr1481. doi:10.1126/sciadv.adr1481

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Hu J, Sa X, Yang Y, Han Y, Wu J, Sun M, et al. Multi-transcriptomics reveals niche-specific expression programs and endothelial cells in glioblastoma. J Transl Med (2025) 23:444. doi:10.1186/s12967-025-06185-z

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Portnow J, Badie B, Chen M, Liu A, Blanchard S, Synold TW. The neuropharmacokinetics of temozolomide in patients with resectable brain tumors: potential implications for the current approach to chemoradiation. Clin Cancer Res (2009) 15:7092–8. doi:10.1158/1078-0432.ccr-09-1349

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Mason WP. Blood-brain barrier-associated efflux transporters: a significant but underappreciated obstacle to drug development in glioblastoma. Neuro-Oncol (2015) 17:1181–2. doi:10.1093/neuonc/nov122

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Tampio J, Löffler S, Guillon M, Hugele A, Huttunen J, Huttunen KM. Improved l-Type amino acid transporter 1 (LAT1)-mediated delivery of anti-inflammatory drugs into astrocytes and microglia with reduced prostaglandin production. Int J Pharm (2021) 601:120565. doi:10.1016/j.ijpharm.2021.120565

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Puris E, Gynther M, de Lange ECM, Auriola S, Hammarlund-Udenaes M, Huttunen KM, et al. Mechanistic study on the use of the l-type amino acid transporter 1 for brain intracellular delivery of ketoprofen via prodrug: a novel approach supporting the development of prodrugs for intracellular targets. Mol Pharm (2019) 16:3261–74. doi:10.1021/acs.molpharmaceut.9b00502

PubMed Abstract | CrossRef Full Text | Google Scholar

98. de Groot JF, Fuller G, Kumar AJ, Piao Y, Eterovic K, Ji Y, et al. Tumor invasion after treatment of glioblastoma with bevacizumab: radiographic and pathologic correlation in humans and mice. Neuro-Oncol (2010) 12:233–42. doi:10.1093/neuonc/nop027

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Thompson BT, Chambers RC, Liu KD. Acute respiratory distress syndrome. N Engl J Med (2017) 377:562–72. doi:10.1056/nejmra1608077

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Fletcher S-MP, Chisholm A, Lavelle M, Guthier R, Zhang Y, Power C, et al. A study combining microbubble-mediated focused ultrasound and radiation therapy in the healthy rat brain and a F98 glioma model. Sci Rep (2024) 14:4831. doi:10.1038/s41598-024-55442-6

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Burgess MR, Hwang E, Firestone AJ, Huang T, Xu J, Zuber J, et al. Preclinical efficacy of MEK inhibition in Nras-mutant AML. Blood (2014) 124:3947–55. doi:10.1182/blood-2014-05-574582

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Idbaih A, Canney M, Belin L, Desseaux C, Vignot A, Bouchoux G, et al. Safety and feasibility of repeated and transient blood–brain barrier disruption by pulsed ultrasound in patients with recurrent glioblastoma. Clin Cancer Res (2019) 25:3793–801. doi:10.1158/1078-0432.ccr-18-3643

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Mainprize T, Lipsman N, Huang Y, Meng Y, Bethune A, Ironside S, et al. Blood-brain barrier opening in primary brain tumors with non-invasive MR-guided focused ultrasound: a clinical safety and feasibility study. Sci Rep (2019) 9:321. doi:10.1038/s41598-018-36340-0

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Shan H, Zheng G, Bao S, Yang H, Shrestha UD, Li G, et al. Tumor perfusion enhancement by focus ultrasound-induced blood-brain barrier opening to potentiate anti-PD-1 immunotherapy of glioma. Transl Oncol (2024) 49:102115. doi:10.1016/j.tranon.2024.102115

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Raghavan R, Brady ML, Rodríguez-Ponce MI, Hartlep A, Pedain C, Sampson JH. Convection-enhanced delivery of therapeutics for brain disease, and its optimization. Neurosurg Focus (2006) 20:E12. doi:10.3171/foc.2006.20.4.7

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Chen Z, Han F, Du Y, Shi H, Zhou W. Hypoxic microenvironment in cancer: molecular mechanisms and therapeutic interventions. Signal Transduct Target Ther (2023) 8:70. doi:10.1038/s41392-023-01332-8

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Yang Y, Yuan T, Rodriguez y Baena F, Dini D, Zhan W. Effect of infusion direction on convection-enhanced drug delivery to anisotropic tissue. J R Soc Interf (2024) 21:20240378. doi:10.1098/rsif.2024.0378

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Qiao G, Chu C, Gulisashvili D, Sharma S, Kalkowski L, Fadon-Padilla L, et al. A safe MRI- and PET-guided method for increasing osmotic blood-brain barrier permeability. Radiology (2025) 316(3):e243396. doi:10.1148/radiol.243396

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Del Baldo G, Del Bufalo F, Pinacchio C, Carai A, Quintarelli C, De Angelis B, et al. The peculiar challenge of bringing CAR-T cells into the brain: perspectives in the clinical application to the treatment of pediatric central nervous system tumors. Front Immunol (2023) 14:1142597. doi:10.3389/fimmu.2023.1142597

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Patterson JD, Henson JC, Breese RO, Bielamowicz KJ, Rodriguez A. CAR T cell therapy for pediatric brain tumors. Front Oncol (2020) 10:1582. doi:10.3389/fonc.2020.01582

PubMed Abstract | CrossRef Full Text | Google Scholar

111. Choi BD, Gerstner ER, Frigault MJ, Leick MB, Mount CW, Balaj L, et al. Intraventricular CARv3-TEAM-E T cells in recurrent glioblastoma. N Engl J Med (2024) 390:1290–8. doi:10.1056/NEJMoa2314390

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Monje M, Mahdi J, Majzner R, Yeom KW, Schultz LM, Richards RM, et al. Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas. Nature (2025) 637:708–15. doi:10.1038/s41586-024-08171-9

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Medikonda R, Abikenari MA, Schonfeld E, Lim M. Top advances of the year: the status of chimeric antigen receptor T cells in neuro-oncology. Cancer (2025) 131:e35935. doi:10.1002/cncr.35935

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Goff SL, Morgan RA, Yang JC, Sherry RM, Robbins PF, Restifo NP, et al. Pilot trial of adoptive transfer of chimeric antigen receptor–transduced T cells targeting EGFRvIII in patients with glioblastoma. J Immunother (2019) 42:126–35. doi:10.1097/cji.0000000000000260

PubMed Abstract | CrossRef Full Text | Google Scholar

115. O'Rourke DM, Nasrallah MP, Desai A, Melenhorst JJ, Mansfield K, Morrissette JJD, et al. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma. Sci Translational Med (2017) 9(399):eaaa0984. doi:10.1126/scitranslmed.aaa0984

CrossRef Full Text | Google Scholar

116. Craddock JA, Lu A, Bear A, Pule M, Brenner MK, Rooney CM, et al. Enhanced tumor trafficking of GD2 chimeric antigen receptor T cells by expression of the chemokine receptor CCR2b. J Immunother Hagerstown (2010) 33:780–8. doi:10.1097/cji.0b013e3181ee6675

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Qian B-Z, Li J, Zhang H, Kitamura T, Zhang J, Campion LR, et al. CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis. Nature (2011) 475:222–5. doi:10.1038/nature10138

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Wylezinski LS, Hawiger J. Interleukin 2 activates brain microvascular endothelial cells resulting in destabilization of adherens junctions. J Biol Chem (2016) 291:22913–23. doi:10.1074/jbc.m116.729038

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Bonney S, Seitz S, Ryan CA, Jones KL, Clarke P, Tyler KL, et al. Gamma interferon alters junctional integrity via rho kinase, resulting in blood-brain barrier leakage in experimental viral encephalitis. mBio (2019) 10:e01675-19. doi:10.1128/mbio.01675-19

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Sonar SA, Shaikh S, Joshi N, Atre AN, Lal G. IFN-γ promotes transendothelial migration of CD4+ T cells across the blood-brain barrierIFN-γ promotes transendothelial migration of CD4+ T cells across the blood-brain barrier. Immunol Cell Biol (2017) 95(9):843–53. doi:10.1038/icb.2017.56

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Roth P, Winklhofer S, Müller AMS, Dummer R, Mair MJ, Gramatzki D, et al. Neurological complications of cancer immunotherapy. Cancer Treat Rev (2021) 97:102189. doi:10.1016/j.ctrv.2021.102189

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Cohen JV, Alomari AK, Vortmeyer AO, Jilaveanu LB, Goldberg SB, Mahajan A, et al. Melanoma brain metastasis pseudoprogression after pembrolizumab treatment. Cancer Immunol Res (2016) 4:179–82. doi:10.1158/2326-6066.cir-15-0160

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Abikenari M, Liu J, Ha JH, Annagiri S, Himic V, Medikonda R, et al. Emerging trends in cell-based therapies: contemporary advances and ethical considerations in translational neurosurgical oncology. J Neuro-Oncology (2025) 175(1):1–20. doi:10.1007/s11060-025-05170-2

PubMed Abstract | CrossRef Full Text | Google Scholar

124. He H, Mack JJ, Güç E, Warren CM, Squadrito ML, Kilarski WW, et al. Perivascular macrophages limit permeability. Arterioscler Thromb Vasc Biol (2016) 36:2203–12. doi:10.1161/ATVBAHA.116.307592

PubMed Abstract | CrossRef Full Text | Google Scholar

125. Peterson TE, Kirkpatrick ND, Huang Y, Farrar CT, Marijt KA, Kloepper J, et al. Dual inhibition of Ang-2 and VEGF receptors normalizes tumor vasculature and prolongs survival in glioblastoma by altering macrophages. Proc Natl Acad Sci (2016) 113:4470–5. doi:10.1073/pnas.1525349113

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Arjaans M, Oude Munnink TH, Oosting SF, Terwisscha van Scheltinga AGT, Gietema JA, Garbacik ET, et al. Bevacizumab-induced normalization of blood vessels in tumors hampers antibody uptake. Cancer Res (2013) 73:3347–55. doi:10.1158/0008-5472.can-12-3518

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Li Y, Ali S, Clarke J, Cha S. Bevacizumab in recurrent glioma: patterns of treatment failure and implications. Brain Tumor Res Treat (2017) 5:1–9. doi:10.14791/btrt.2017.5.1.1

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Stummer W, Pichlmeier U, Meinel T, Wiestler OD, Zanella F, Reulen H-J. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. Lancet Oncol (2006) 7:392–401. doi:10.1016/s1470-2045(06)70665-9

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Baig MA, Christodoulides I, Lavrador JP, Giamouriadis A, Vastani A, Boardman T, et al. 5-Aminolevulinic acid-guided resection improves the overall survival of patients with glioblastoma-a comparative cohort study of 343 patients. Neuro-oncol Adv (2021) 3:vdab047. doi:10.1093/noajnl/vdab047

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Kaneko S, Kaneko S. Fluorescence-guided resection of malignant glioma with 5-ALA. Int J Biomed Imaging (2016) 2016:1–11. doi:10.1155/2016/6135293

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Ashby LS, Shapiro WR. Intra-arterial cisplatin plus oral etoposide for the treatment of recurrent malignant glioma: a phase II study. J Neurooncol (2001) 51:67–86. doi:10.1023/a:1006441104260

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Bashir R, Hochberg FH, Linggood RM, Hottleman K. Pre-irradiation internal carotid artery BCNU in treatment of glioblastoma multiforme. J Neurosurg (1988) 68:917–9. doi:10.3171/jns.1988.68.6.0917

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Sonoda Y, Matsumoto K, Kakuto Y, Nishino Y, Kumabe T, Tominaga T, et al. Primary CNS lymphoma treated with combined intra-arterial ACNU and radiotherapy. Acta Neurochir (Wien) (2007) 149:1183–9. doi:10.1007/s00701-007-1277-z

PubMed Abstract | CrossRef Full Text | Google Scholar

134. Hochberg FH, Pruitt AA, Beck DO, DeBrun G, Davis K. The rationale and methodology for intra-arterial chemotherapy with BCNU as treatment for glioblastoma. J Neurosurg (1985) 63:876–80. doi:10.3171/jns.1985.63.6.0876

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Patel NV, Wong T, Fralin SR, Li M, McKeown A, Gruber D, et al. Repeated superselective intraarterial bevacizumab after blood brain barrier disruption for newly diagnosed glioblastoma: a phase I/II clinical trial. J Neurooncol (2021) 155:117–24. doi:10.1007/s11060-021-03851-2

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Sabbagh A, Beccaria K, Ling X, Marisetty A, Ott M, Caruso H, et al. Opening of the blood-brain barrier using low-intensity pulsed ultrasound enhances responses to immunotherapy in preclinical glioma models. Clin Cancer Res Off J Am Assoc Cancer Res (2021) 27:4325–37. doi:10.1158/1078-0432.ccr-20-3760

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Montagne A, Nation DA, Sagare AP, Barisano G, Sweeney MD, Chakhoyan A, et al. APOE4 leads to blood–brain barrier dysfunction predicting cognitive decline. Nature (2020) 581:71–6. doi:10.1038/s41586-020-2247-3

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Ye BS, Chang KW, Kang S, Jeon S, Chang JW. Repetitive and extensive focused ultrasound–mediated bilateral frontal blood-brain barrier opening for Alzheimer’s disease. J Neurosurg (2025) 142:1263–70. doi:10.3171/2024.8.jns24989

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Rezai Ali R, Pierre-Francois D’H, Victor F, Carpenter J, Manish R, Kirk W, et al. Ultrasound blood–brain barrier opening and aducanumab in Alzheimer’s disease. N Engl J Med (2024) 390:55–62. doi:10.1056/nejmoa2308719

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Okada T, Suzuki H, Travis ZD, Zhang JH. The stroke-induced blood-brain barrier disruption: current progress of inspection technique, mechanism, and therapeutic target. Curr Neuropharmacol (2020) 18:1187–212. doi:10.2174/1570159x18666200528143301

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Arkelius K, Wendt TS, Andersson H, Arnou A, Gottschalk M, Gonzales RJ, et al. LOX-1 and MMP-9 inhibition attenuates the detrimental effects of delayed rt-PA therapy and improves outcomes after acute ischemic stroke. Circ Res (2024) 134:954–69. doi:10.1161/circresaha.123.323371

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Kim M, Byun J, Chung Y, Lee SU, Park JE, Park W, et al. Reactive oxygen species scavenger in acute intracerebral hemorrhage patients. Stroke (2021) 52:1172–81. doi:10.1161/strokeaha.120.032266

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Wengler K, Ha J, Syritsyna O, Bangiyev L, Coyle PK, Duong TQ, et al. Abnormal blood-brain barrier water exchange in chronic multiple sclerosis lesions: a preliminary study. Magn Reson Imaging (2020) 70:126–33. doi:10.1016/j.mri.2020.04.017

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Kaufmann M, Haase R, Proschmann U, Ziemssen T, Akgün K. Real-world lab data in natalizumab treated multiple sclerosis patients up to 6 years long-term follow up. Front Neurol (2018) 9:1071. doi:10.3389/fneur.2018.01071

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Oughli HA, Siddarth P, Lum M, Tang L, Ito B, Abikenari M, et al. Peripheral Alzheimer’s disease biomarkers are related to change in subjective memory in older women with cardiovascular risk factors in a trial of yoga vs. memory training: Lien établi entre les biomarqueurs périphériques de la maladie d’Alzheimer et l’amélioration de la mémoire subjective chez les femmes âgées présentant des facteurs de risque cardiovasculaire dans le cadre d’un essai comparant le yoga à l’entraînement de la mémoire. Sarah Nguyen, Helen Lavretsky (2025):7067437251343291. doi:10.1177/07067437251343291

CrossRef Full Text | Google Scholar

146. Cai Z, Qiao P-F, Wan C-Q, Cai M, Zhou N-K, Li Q. Role of blood-brain barrier in Alzheimer’s disease. J Alzheimers Dis (2018) 63:1223–34. doi:10.3233/JAD-180098

PubMed Abstract | CrossRef Full Text | Google Scholar

147. Abikenari M, Ha JH, Liu J, Ren A, Cho KB, Lim J, et al. The immunological landscape of traumatic brain injury: insights from pathophysiology to experimental models. Front Neurol (2025) 16:1668480. doi:10.3389/fneur.2025.1668480

PubMed Abstract | CrossRef Full Text | Google Scholar

148. Hoque MM, Abdelazim H, Jenkins-Houk C, Wright D, Patel BM, Chappell JC. The cerebral microvasculature: basic and clinical perspectives on stroke and glioma. Microcirculation (2020) 28(3):e12671. doi:10.1111/micc.12671

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: glioblastoma, blood–brain barrier, blood–tumor barrier, drug delivery, focused ultrasound, immunotherapy, receptor-mediated transcytosis, convection enhanced delivery

Citation: Abikenari M, Sjoholm MA, Liu J, Nageeb G, Ha JH, Wu J, Ren A, Sayadi J, Lim J, Cho KB, Verma R, Medikonda R, Banu M and Lim M (2025) Molecular and biophysical remodeling of the blood–brain barrier in glioblastoma: mechanistic drivers of tumor–neurovascular crosstalk. Front. Phys. 13:1723329. doi: 10.3389/fphy.2025.1723329

Received: 12 October 2025; Accepted: 18 November 2025;
Published: 18 December 2025.

Edited by:

Amir Manbachi, Johns Hopkins University, United States

Reviewed by:

Miroslaw Janowski, University of Maryland, United States
Carlos Marcuello, Instituto de Nanociencia y Materiales de Aragón (INMA), Spain

Copyright © 2025 Abikenari, Sjoholm, Liu, Nageeb, Ha, Wu, Ren, Sayadi, Lim, Cho, Verma, Medikonda, Banu and Lim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michael Lim, bWtsaW1Ac3RhbmZvcmQuZWR1

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.