Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2026 Aug 11;16:1930948. doi: 10.3389/fonc.2026.1930948

Integrin β1 signaling at the crossroads of cellular plasticity, the tumor microenvironment, and therapy resistance in medulloblastoma

William Echavidre 1, Vincent Picco 1, Christopher Montemagno 1,*
PMCID: PMC13504261  PMID: 42643603

Abstract

Medulloblastoma (MB), the most common malignant pediatric brain tumor, remains associated with relapse and long-term treatment-related toxicities. Tumor–microenvironment interactions increasingly appear to contribute to progression, stemness, and therapy resistance in brain cancers. Integrin β1, a major mediator of cell–extracellular matrix interactions, regulates survival signaling, mechanotransduction, and cancer stem cell maintenance in several tumor types, particularly glioblastoma. This mini-review discusses how developmental programs, extracellular matrix remodeling, hypoxia, and cancer stem cell plasticity may converge through integrin-dependent signaling in MB. Although direct evidence remains limited, converging findings from developmental neurobiology, stem cell biology, and cancer research support integrin β1 as an underexplored candidate regulator of MB progression and therapeutic resistance.

Keywords: cancer stem cells, extracellular matrix, integrin β1, medulloblastoma, microenvironment, pediatric oncology, radioresistance

1. Introduction

Medulloblastoma (MB) is the most common malignant pediatric brain tumor and remains associated with significant long-term morbidity and mortality despite advances in multimodal therapies combining surgery, radiotherapy, and chemotherapy (13). Survivors frequently experience severe neurocognitive, endocrine, and developmental impairments resulting from treatment-related toxicities (4, 5). Relapse remains frequent and is associated with poor prognosis and limited therapeutic options (6, 7).

Large-scale genomic and epigenomic studies have redefined MB as a heterogeneous disease composed of four principal molecular subgroups—WNT, SHH, Group 3, and Group 4—each characterized by distinct developmental origins, molecular alterations, and clinical outcomes (810). While WNT tumors are generally associated with favorable prognosis, Group 3 tumors display the poorest prognosis. Despite these advances in molecular classification, current therapeutic strategies remain relatively similar across subgroups, highlighting the need for biologically informed therapeutic approaches (11).

Increasing evidence indicates that tumor progression and therapy resistance are not solely driven by tumor-intrinsic alterations but are also strongly influenced by interactions with the tumor microenvironment (TME) (12, 13). The extracellular matrix (ECM), a major component of the TME, regulates proliferation, migration, survival, and cellular plasticity through biochemical and mechanical signaling. In brain tumors, ECM remodeling and microenvironmental signaling have emerged as important regulators of stemness and therapeutic response (14, 15).

Integrins are transmembrane receptors that mediate cell–ECM interactions and transduce extracellular signals into intracellular signaling pathways (15, 16). Among them, integrin β1 is of particular interest because of its ability to form multiple heterodimers and interact with diverse ECM ligands, including laminins, fibronectin, and collagens (17, 18). Through activation of FAK, PI3K/AKT, and MAPK pathways, integrin β1 regulates survival, migration, mechanotransduction, and stem-like behavior (19, 20).

In several cancers, particularly glioblastoma, integrin β1 signaling has been implicated in cancer stem cell maintenance, invasion, and resistance to therapy (2022). However, despite the growing recognition of microenvironmental regulation in MB biology, the role of integrin β1 in this disease remains poorly characterized.

Recent reviews have highlighted the importance of the tumor microenvironment in MB biology (23), while integrin signaling and cellular plasticity have been extensively reviewed in the broader context of cancer (17, 20, 21). However, these concepts have rarely been integrated into a unified framework in medulloblastoma. In this mini-review, we discuss how developmental signaling, extracellular matrix interactions, and tumor cell plasticity may converge through integrin β1-dependent pathways in MB. By considering integrin β1 as a potential molecular link between these processes, we explore the implications of this integrative framework for therapy resistance and future therapeutic strategies.

2. Developmental and microenvironmental context of medulloblastoma

MB is widely regarded as a developmental tumor arising from dysregulation of cerebellar ontogeny (24, 25). Cerebellar development depends on coordinated proliferation, migration, and differentiation of neural progenitor populations controlled by SHH and WNT signaling. Granule cell progenitors (GCPs) within the external granular layer are considered a major cell population involved in MB tumorigenesis (2628). SHH signaling secreted by Purkinje cells promotes GCP proliferation during normal development, whereas aberrant activation of this pathway through mutations in PTCH1 or SMO drives uncontrolled proliferation in SHH-subgroup MB. Similarly, activation of the WNT pathway through CTNNB1 mutations characterizes the WNT subgroup and is associated with favorable prognosis (29, 30).

Unlike many adult cancers, MB exhibits a relatively low mutational burden and appears to rely more heavily on epigenetic dysregulation and persistence of developmental programs (3133). This supports the idea that MB arises from hijacking developmental programs rather than from progressive accumulation of genomic alterations.

Importantly, cerebellar development is strongly influenced by interactions with the extracellular matrix (ECM) (3437). ECM components such as laminins, fibronectin, and collagens regulate progenitor adhesion, migration, and differentiation through integrin-mediated signaling (34, 36). Among integrins, β1-containing integrins play essential roles in neural development by regulating progenitor adhesion, survival, and tissue organization (3840). Experimental disruption of integrin β1 signaling leads to defects in brain architecture and abnormal cell positioning, highlighting its importance in neural morphogenesis.

Moreover, the contribution of integrin β1 is likely to vary across MB molecular subgroups. Single-cell transcriptomic studies have shown that WNT, SHH, Group 3, and Group 4 tumors contain distinct malignant cell states that reflect different developmental lineages and differentiation programs (31, 33). In addition, subgroup-specific differences have been reported in the composition of the immune and stromal microenvironment (41, 42). Group 3 and Group 4 tumors should not be regarded as entirely discrete biological entities, as transcriptomic analyses indicate that they form a biological continuum containing multiple intermediate states (43). These differences in cellular identity and microenvironmental organization may influence ECM composition and consequently β1-dependent signaling. However, whether specific MB subgroups or cellular states exhibit preferential dependence on integrin β1 remains to be directly established, representing an important area for future investigation.

These differences in cellular identity and microenvironmental organization may influence ECM composition and consequently β1-dependent signaling. Single-cell transcriptomic studies have refined our understanding of MB cellular heterogeneity; however, the functional contribution of integrin β1 across these transcriptionally defined cellular states remains poorly characterized.

Collectively, these observations suggest that integrin-mediated signaling may contribute not only to normal cerebellar development but also to tumor initiation and progression in MB. Although direct evidence remains limited, the developmental dependence of MB on ECM-regulated signaling pathways provides a strong rationale for investigating integrin β1 as a regulator of tumor cell identity and microenvironmental interactions.

3. Cancer stem cell plasticity and ECM niches in medulloblastoma

Tumor heterogeneity in medulloblastoma is increasingly understood as a dynamic process driven by cancer stem cell (CSC) plasticity and microenvironmental regulation (4447). CSCs were initially described as tumor-propagating cells capable of self-renewal and long-term tumor maintenance (48, 49). These populations are now recognized as major contributors to relapse, therapeutic resistance, and tumor adaptation (50).

However, the classical hierarchical CSC model has progressively evolved toward a more dynamic view in which tumor cells transition between stem-like and differentiated states in response to intrinsic transcriptional programs and extrinsic environmental cues (46, 47). In brain tumors, including MB, this plasticity appears particularly relevant because tumor cells retain features of developmental lineages and progenitor programs.

Single-cell transcriptomic studies further support this model by showing that MB cells occupy multiple differentiation states reflecting developmental trajectories rather than rigid hierarchies (31, 33). These studies reveal that tumor cells retain considerable phenotypic plasticity and can occupy distinct transcriptional states associated with neural progenitor differentiation programs. Together, these findings support a dynamic continuum of tumor cell states shaped by both intrinsic developmental programs and extrinsic microenvironmental cues. Although direct evidence linking integrin β1 to these transcriptionally defined cell states remains limited, its established role in ECM sensing, mechanotransduction, and stem cell regulation suggests that it may contribute to the maintenance and adaptation of these plastic cell populations.

Hypoxia also promotes stem-like phenotypes, metabolic adaptation, and therapeutic resistance through HIF signaling, and has been associated with aggressive behavior in MB (5153). The ECM constitutes a major functional component of the TME and strongly influences CSC behavior (14, 54). Laminin-rich environments promote neural stem cell maintenance and proliferation, whereas fibronectin-rich matrices are more frequently associated with migration and invasion (5557). These effects are mediated largely through β1-containing integrins, which connect ECM-derived signals to intracellular pathways regulating adhesion, survival, and self-renewal (16, 18, 58).

In addition to regulating stem cell behavior, integrin β1 may also contribute to the invasive properties of MB. Unlike gliomas, which primarily invade the surrounding brain parenchyma, MB characteristically disseminates through the cerebrospinal fluid and colonizes the leptomeninges and is associated with poor clinical outcome. Experimental studies have demonstrated that β1-containing integrins, particularly the α9β1 heterodimer, mediate MB cell adhesion to tenascin-C, an extracellular matrix glycoprotein enriched within the leptomeningeal environment (59). This interaction promotes activation of signaling pathways involved in cell survival and proliferation, suggesting that integrin β1-dependent adhesion may facilitate the establishment and persistence of disseminated tumor cells. Although the precise contribution of β1 signaling to leptomeningeal colonization remains poorly understood, its central role in ECM recognition and cell–matrix interactions provides a compelling rationale for further investigation.

In glioblastoma, integrin β1 signaling promotes CSC maintenance and tumor initiation through activation of focal adhesion kinase (FAK) and PI3K/AKT pathways (20, 21). Integrin β1 also contributes to invasion and interactions with vascular niches, reinforcing its role as a central regulator of tumor progression (21, 60, 61). Beyond biochemical signaling, integrin β1 mediates mechanotransduction, allowing tumor cells to sense ECM stiffness and architecture (62, 63). Increased matrix stiffness has been associated with enhanced stemness and aggressive behavior in multiple cancers (63, 64).

Importantly, integrin β1 signaling intersects with developmental pathways central to MB biology, including SHH and WNT signaling. Crosstalk between integrins and receptor tyrosine kinases further amplifies downstream signaling networks involved in survival and proliferation (17, 65). Together, these observations support the hypothesis that integrin β1 may function as an integrative hub coordinating developmental and microenvironmental signals in MB.

Although direct evidence specifically implicating integrin β1 in MB CSC regulation remains limited, the strong parallels with other brain tumors provide a compelling rationale for further investigation.

4. Integrin β1 and radioresistance in medulloblastoma

Radiotherapy remains a cornerstone of medulloblastoma treatment and is a major determinant of patient outcome (2, 3). Nevertheless, resistance to ionizing radiation remains a major clinical challenge, particularly in recurrent disease where prognosis is poor and therapeutic options are limited (6, 7).

Radioresistance results from tumor-intrinsic and microenvironment-dependent mechanisms, including efficient DNA damage repair, redox control, hypoxia, and therapy-induced plasticity (22, 53, 66, 67). CSC-like populations often display enhanced DNA repair, reduced ROS levels, and lower sensitivity to genotoxic stress (68, 69). Hypoxia further limits radiation-induced DNA damage fixation while promoting stem-like phenotypes through HIF signaling (51, 53, 70). Together, these processes may contribute to MB relapse, although direct evidence remains limited.

Beyond tumor-intrinsic mechanisms, the tumor microenvironment plays a central role in regulating radiation response (12, 13, 22). Adhesion to ECM components activates integrin-mediated signaling pathways that enhance survival and resistance to apoptosis following irradiation (22, 71). This phenomenon, referred to as cell adhesion-mediated radioresistance (CAM-RR), has been described in several tumor types.

Integrin β1 appears to be a major mediator of CAM-RR through activation of signaling pathways such as FAK, PI3K/AKT, and MAPK (19, 22). Inhibition of integrin β1 enhances radiosensitivity in several cancer models by increasing apoptosis and impairing DNA repair (71, 72). In glioblastoma, ECM-dependent integrin signaling contributes to resistance through interactions with laminin- and fibronectin-rich microenvironments (21, 44).

Integrin signaling may also modulate chromatin organization and accessibility of DNA repair machinery (73). In parallel, radiation-induced ECM remodeling, including increased collagen and fibronectin deposition, may further reinforce integrin signaling and establish a protective niche favoring tumor survival (74, 75).

Collectively, these observations position integrin β1 as a potential regulator linking ECM interactions, CSC plasticity, developmental signaling, and radioresistance in MB (Figure 1). Although direct experimental evidence remains scarce, the strong biological convergence observed across developmental biology, stem cell regulation, and radiobiology supports further investigation of this pathway in pediatric brain tumors.

Figure 1.

Diagram showing integrin beta one signaling in a central blue circle connected by arrows to four colored boxes highlighting roles in extracellular matrix interactions, developmental pathways, cancer stem cell features, and radioresistance mechanisms.

Integrin β1 as a central hub linking developmental signaling, extracellular matrix interactions, stemness, and radioresistance in medulloblastoma. Integrin β1 signaling integrates extracellular matrix (ECM)-derived cues, including laminin, fibronectin, and collagen interactions, with developmental pathways such as SHH and WNT. Through activation of downstream signaling pathways including FAK, PI3K/AKT, and MAPK, β1 integrin may regulate cancer stem cell features, cellular plasticity, tumor progression, and mechanisms associated with radioresistance, including DNA repair, ROS regulation, and survival signaling.

5. Integrin β1 as a signaling and mechanotransduction hub

Integrin β1 forms heterodimeric receptors with multiple α subunits, enabling interactions with ECM ligands such as laminins, fibronectin, and collagens (16, 18). Upon ligand engagement, integrin β1 promotes focal adhesion assembly and activates FAK/Src signaling, which integrates biochemical and mechanical signals originating from the extracellular matrix. Through downstream PI3K/AKT, MAPK/ERK, and Rho GTPase pathways, integrin β1 regulates cell survival, proliferation, migration, cytoskeletal remodeling, and mechanotransduction (19, 20). Mechanical forces transmitted through integrin β1-dependent adhesions can regulate the activity and nuclear localization of the mechanosensitive transcriptional co-activators YAP and TAZ, thereby coupling extracellular matrix stiffness to transcriptional programs involved in proliferation, survival, and cellular plasticity (76, 77).

Importantly, the functional consequences of integrin β1 signaling depend strongly on its α-subunit partner and microenvironmental context. For example, α6β1 integrin preferentially interacts with laminin-rich niches associated with stem cell maintenance, whereas α5β1 integrin primarily binds fibronectin-rich matrices linked to migration and invasion (44, 55, 78). This functional diversity enables integrin β1 to regulate distinct tumor cell states depending on ECM composition (Figure 2).

Figure 2.

Diagram compares two cellular states: the laminin-rich niche, associated with stem-like cells characterized by self-renewal, quiescence, and therapy resistance via α6β1 integrin, and the fibronectin-rich niche, associated with invasive cells showing migration, invasion, and dissemination via α5β1 integrin. Bidirectional plasticity enables transitions between these states.

Distinct extracellular matrix niches may regulate tumor cell states through β1 integrin signaling in medulloblastoma. Laminin-rich microenvironments interacting predominantly with α6β1 integrin are associated with stem-like properties, including self-renewal, quiescence, and therapy resistance. In contrast, fibronectin-rich niches engaging α5β1 integrin are linked to migratory and invasive phenotypes associated with tumor dissemination. Bidirectional transitions between these cellular states illustrate tumor plasticity driven by extracellular matrix composition and microenvironmental signaling.

Integrin β1 signaling also displays extensive crosstalk with receptor tyrosine kinases and developmental signaling pathways (17, 65). Interactions with EGFR, SHH, and WNT pathways may amplify survival signaling and influence tumor cell plasticity (17, 20). Such integrative signaling networks suggest that integrin β1 functions not merely as an adhesion receptor but rather as a central signaling hub coordinating biochemical and mechanical inputs from the tumor microenvironment.

Beyond its interactions with the extracellular matrix, the MB tumor microenvironment also comprises immune cell populations, including resident microglia, infiltrating macrophages, and, to a lesser extent, lymphocytes, which may influence tumor progression and therapeutic response. The composition and functional organization of this immune microenvironment vary across MB molecular subgroups (41, 42). More broadly, the ECM contributes to bidirectional communication between tumor cells, stromal cells, and immune populations by regulating cell adhesion, cytokine availability, and tissue remodeling (14). In other solid tumors, integrin-dependent signaling contributes to bidirectional communication between tumor and immune cells by modulating cytokine signaling, immune cell recruitment, and macrophage polarization, thereby promoting an immunosuppressive tumor microenvironment (16, 79). Although the specific contribution of integrin β1 to immune regulation in MB remains poorly understood, its central role in cell–matrix interactions and bidirectional communication between tumor cells and the surrounding microenvironment suggests that it may influence immune cell recruitment, localization, or functional polarization within the tumor microenvironment.

Although these mechanisms have been extensively characterized in other tumor types, their relevance in MB remains insufficiently explored. Given the developmental origin of MB and the importance of ECM-dependent signaling in cerebellar biology, integrin β1 may represent a critical regulator of tumor adaptation and progression (24, 34, 38).

6. Therapeutic opportunities and translational challenges

Given its central role in stemness, survival signaling, and microenvironmental interactions, integrin β1 represents an attractive therapeutic target in cancer. Preclinical studies in multiple tumor types have demonstrated that inhibition of integrin β1 signaling can enhance sensitivity to chemotherapy and radiotherapy by disrupting survival pathways and impairing ECM-mediated protection (22, 71, 72, 80).

Several therapeutic approaches targeting integrin β1 signaling have been explored, including β1-blocking monoclonal antibodies such as AIIB2 (Park et al., 2006), peptide antagonists, and inhibitors of downstream signaling molecules such as focal adhesion kinase (FAK) (17, 81, 82). Preclinical studies using β1-blocking antibodies have demonstrated reduced tumor growth and enhanced sensitivity to radiotherapy in several cancer models (72, 81), whereas clinically investigated FAK inhibitors, including defactinib and GSK2256098, represent complementary strategies to disrupt integrin-dependent signaling (82, 83). Although β1-targeting antibodies have shown encouraging activity in preclinical models and FAK inhibitors have advanced into early-phase clinical evaluation, none has yet been specifically evaluated in MB.

However, clinical translation of integrin-targeting therapies has proven challenging. Cilengitide, a cyclic RGD peptide developed primarily to target αvβ3 and αvβ5 integrins (84), failed to improve overall survival when combined with standard radiotherapy and temozolomide in patients with newly diagnosed glioblastoma in the phase III CENTRIC trial (85). Importantly, this lack of clinical benefit should not be interpreted as evidence against integrin β1-directed therapeutic strategies, as cilengitide was not developed as a selective β1 inhibitor and integrin signaling is highly dependent on receptor subtype, cellular context, ligand availability, and compensatory signaling among different integrin heterodimers (17, 20, 86).

Another major challenge is tumor heterogeneity. Integrin expression and activity vary between tumor subtypes and even between distinct cellular states within the same tumor (10, 86). This suggests that effective therapeutic targeting will likely require improved patient stratification and identification of biomarkers predicting integrin dependency.

In MB, β1 targeting remains largely unexplored, but developmental signaling, CSC plasticity, ECM-mediated resistance, and the central role of radiotherapy support its investigation (2022). Future therapeutic approaches will likely require rational combination strategies rather than integrin inhibition alone. Combining integrin β1 targeting with radiotherapy could simultaneously enhance DNA damage while blocking ECM-mediated survival signaling (22, 71). Similarly, combining integrin inhibition with SHH or WNT pathway inhibitors may improve efficacy by targeting both tumor-intrinsic and microenvironmental mechanisms.

Beyond direct β1 inhibition, targeting downstream effectors such as FAK may represent an alternative therapeutic strategy capable of overcoming compensatory signaling and some limitations associated with integrin-directed therapies (82, 83). In parallel, advances in molecular profiling and spatial transcriptomics may facilitate identification of MB subgroups or microenvironmental contexts particularly dependent on integrin signaling (31, 33).

Overall, despite significant translational challenges, integrin β1 remains a promising candidate for therapeutic investigation in MB, particularly in the context of combination therapies aimed at overcoming stemness-associated resistance mechanisms.

7. Future perspectives and conclusions

Increasing evidence indicates that medulloblastoma progression and therapeutic resistance are shaped not only by tumor-intrinsic genetic alterations but also by dynamic interactions with the tumor microenvironment (12, 13, 20). Within this framework, integrin β1 emerges as a potentially important regulator linking extracellular matrix signaling, stemness, cellular plasticity, and resistance to therapy.

Although direct evidence specifically implicating integrin β1 in MB remains limited, strong biological parallels with neural development, glioblastoma, and other cancers support the hypothesis that this pathway may play an important role in disease progression (20, 38, 44). The convergence of developmental signaling, ECM remodeling, mechanotransduction, and CSC regulation around integrin β1 suggests that it may function as a central integrative hub in MB biology (63, 74).

Future studies should aim to characterize integrin β1 expression and activity across MB molecular subgroups and determine whether specific tumor contexts exhibit increased dependency on ECM-mediated signaling. Emerging technologies such as spatial transcriptomics, single-cell multiomics, organoid models, and engineered ECM systems may provide new opportunities to investigate these mechanisms in physiologically relevant settings.

Particular attention should also be given to therapy-induced microenvironmental remodeling (75). Radiotherapy may alter ECM composition and mechanical properties in ways that reinforce integrin signaling and promote tumor adaptation. Understanding these dynamic interactions could help identify new therapeutic vulnerabilities.

Ultimately, integrating microenvironmental biology into the study of medulloblastoma may help bridge the gap between molecular classification and therapeutic innovation. In this context, integrin β1 represents a compelling but underexplored candidate deserving further investigation in pediatric neuro-oncology.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Government of Monaco and Enfants Cancers Santé.

Footnotes

Edited by: Irina R. Matei, Cornell University, United States

Reviewed by: Amer Talib Tawfeeq, Mustansiriyah University, Iraq

Author contributions

WE: Data curation, Writing – review & editing, Methodology, Writing – original draft, Investigation. VP: Writing – original draft, Investigation, Writing – review & editing, Supervision. CM: Conceptualization, Writing – review & editing, Supervision, Writing – original draft.

Conflict of interest

The author(s) declared that this work 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 author(s) declared that generative AI was not 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. Northcott PA, Dubuc AM, Pfister S, Taylor MD. Molecular subgroups of medulloblastoma. Expert Rev Neurother. (2012) 12:871–84. doi:  10.1586/ern.12.66 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Robinson GW, Rudneva VA, Buchhalter I, Billups CA, Waszak SM, Smith KS, et al. Risk-adapted therapy for young children with medulloblastoma (SJYC07): therapeutic and molecular outcomes from a multicentre, phase 2 trial. Lancet Oncol. (2018) 19:768–84. doi:  10.1016/S1470-2045(18)30204-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Gajjar A, Robinson GW, Smith KS, Lin T, Merchant TE, Chintagumpala M, et al. Outcomes by clinical and molecular features in children with medulloblastoma treated with risk-adapted therapy: Results of an international phase III trial (SJMB03). J Clin Oncol. (2021) 39:822–35. doi:  10.1200/JCO.20.01372 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Stavinoha PL, Askins MA, Powell SK, Pillay Smiley N, Robert RS. Neurocognitive and psychosocial outcomes in pediatric brain tumor survivors. Bioengineering (Basel). (2018) 5:73. doi:  10.3390/bioengineering5030073 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Robison LL, Hudson MM. Survivors of childhood and adolescent cancer: life-long risks and responsibilities. Nat Rev Cancer. (2014) 14:61–70. doi:  10.1038/nrc3634 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Hill RM, Richardson S, Schwalbe EC, Hicks D, Lindsey JC, Crosier S, et al. Time, pattern, and outcome of medulloblastoma relapse and their association with tumour biology at diagnosis and therapy: a multicentre cohort study. Lancet Child Adolesc Health. (2020) 4:865–74. doi:  10.1016/S2352-4642(20)30246-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Ramaswamy V, Remke M, Bouffet E, Faria CC, Perreault S, Cho Y-J, et al. Recurrence patterns across medulloblastoma subgroups: an integrated clinical and molecular analysis. Lancet Oncol. (2013) 14:1200–7. doi:  10.1016/S1470-2045(13)70449-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Taylor MD, Northcott PA, Korshunov A, Remke M, Cho Y-J, Clifford SC, et al. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. (2012) 123:465–72. doi:  10.1007/s00401-011-0922-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Northcott PA, Korshunov A, Witt H, Hielscher T, Eberhart CG, Mack S, et al. Medulloblastoma comprises four distinct molecular variants. J Clin Oncol. (2011) 29:1408–14. doi:  10.1200/JCO.2009.27.4324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Cavalli FMG, Remke M, Rampasek L, Peacock J, Shih DJH, Luu B, et al. Intertumoral heterogeneity within medulloblastoma subgroups. Cancer Cell. (2017) 31:737–754.e6. doi:  10.1016/j.ccell.2017.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Juraschka K, Taylor MD. Medulloblastoma in the age of molecular subgroups: a review: JNSPG 75th anniversary invited review article. J Neurosurgery: Pediatr. (2019) 24:353–63. doi:  10.3171/2019.5.PEDS18381 [DOI] [PubMed] [Google Scholar]
  • 12. Junttila MR, de Sauvage FJ. Influence of tumour micro-environment heterogeneity on therapeutic response. Nature. (2013) 501:346–54. doi:  10.1038/nature12626 [DOI] [PubMed] [Google Scholar]
  • 13. Quail DF, Joyce JA. The microenvironmental landscape of brain tumors. Cancer Cell. (2017) 31:326–41. doi:  10.1016/j.ccell.2017.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Pickup MW, Mouw JK, Weaver VM. The extracellular matrix modulates the hallmarks of cancer. EMBO Rep. (2014) 15:1243–53. doi:  10.15252/embr.201439246 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hynes RO. The extracellular matrix: not just pretty fibrils. Science. (2009) 326:1216–9. doi:  10.1126/science.1176009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Desgrosellier JS, Cheresh DA. Integrins in cancer: biological implications and therapeutic opportunities. Nat Rev Cancer. (2010) 10:9–22. doi:  10.1038/nrc2748 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Hamidi H, Ivaska J. Every step of the way: integrins in cancer progression and metastasis. Nat Rev Cancer. (2018) 18:533–48. doi:  10.1038/s41568-018-0038-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Humphries JD, Chastney MR, Askari JA, Humphries MJ. Signal transduction via integrin adhesion complexes. Curr Opin Cell Biol. (2019) 56:14–21. doi:  10.1016/j.ceb.2018.08.004 [DOI] [PubMed] [Google Scholar]
  • 19. Mitra SK, Hanson DA, Schlaepfer DD. Focal adhesion kinase: in command and control of cell motility. Nat Rev Mol Cell Biol. (2005) 6:56–68. doi:  10.1038/nrm1549 [DOI] [PubMed] [Google Scholar]
  • 20. Cooper J, Giancotti FG. Integrin signaling in cancer: mechanotransduction, stemness, epithelial plasticity, and therapeutic resistance. Cancer Cell. (2019) 35:347–67. doi:  10.1016/j.ccell.2019.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Seguin L, Desgrosellier JS, Weis SM, Cheresh DA. Integrins and cancer: regulators of cancer stemness, metastasis, and drug resistance. Trends Cell Biol. (2015) 25:234–40. doi:  10.1016/j.tcb.2014.12.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Eke I, Cordes N. Focal adhesion signaling and therapy resistance in cancer. Semin Cancer Biol. (2015) 31:65–75. doi:  10.1016/j.semcancer.2014.07.009 [DOI] [PubMed] [Google Scholar]
  • 23. van Bree NFHN, Wilhelm M. The tumor microenvironment of medulloblastoma: an intricate multicellular network with therapeutic potential. Cancers (Basel). (2022) 14:5009. doi:  10.3390/cancers14205009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Pei Y, Brun SN, Markant SL, Lento W, Gibson P, Taketo MM, et al. WNT signaling increases proliferation and impairs differentiation of stem cells in the developing cerebellum. Development. (2012) 139:1724–33. doi:  10.1242/dev.050104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Wang W, Shiraishi R, Kawauchi D. Sonic hedgehog signaling in cerebellar development and cancer. Front Cell Dev Biol. (2022) 10. doi:  10.3389/fcell.2022.864035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Wallace VA. Purkinje-cell-derived Sonic hedgehog regulates granule neuron precursor cell proliferation in the developing mouse cerebellum. Curr Biol. (1999) 9:445–8. doi:  10.1016/s0960-9822(99)80195-x [DOI] [PubMed] [Google Scholar]
  • 27. Wechsler-Reya RJ, Scott MP. Control of neuronal precursor proliferation in the cerebellum by Sonic hedgehog. Neuron. (1999) 22:103–14. doi:  10.1016/s0896-6273(00)80682-0 [DOI] [PubMed] [Google Scholar]
  • 28. Goodrich LV, Milenković L, Higgins KM, Scott MP. Altered neural cell fates and medulloblastoma in mouse patched mutants. Science. (1997) 277:1109–13. doi:  10.1126/science.277.5329.1109 [DOI] [PubMed] [Google Scholar]
  • 29. Ellison DW, Onilude OE, Lindsey JC, Lusher ME, Weston CL, Taylor RE, et al. Beta-catenin status predicts a favorable outcome in childhood medulloblastoma: the United Kingdom Children’s Cancer Study Group Brain Tumour Committee. J Clin Oncol. (2005) 23:7951–79. doi:  10.1200/JCO.2005.01.5479 [DOI] [PubMed] [Google Scholar]
  • 30. Eberhart CG, Tihan T, Burger PC. Nuclear localization and mutation of beta-catenin in medulloblastomas. J Neuropathol Exp Neurol. (2000) 59:333–7. doi:  10.1093/jnen/59.4.333 [DOI] [PubMed] [Google Scholar]
  • 31. Hovestadt V, Smith KS, Bihannic L, Filbin MG, Shaw ML, Baumgartner A, et al. Resolving medulloblastoma cellular architecture by single-cell genomics. Nature. (2019) 572:74–9. doi:  10.1038/s41586-019-1434-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Gröbner SN, Worst BC, Weischenfeldt J, Buchhalter I, Kleinheinz K, Rudneva VA, et al. The landscape of genomic alterations across childhood cancers. Nature. (2018) 555:321–7. doi:  10.1038/nature25480 [DOI] [PubMed] [Google Scholar]
  • 33. Vladoiu MC, El-Hamamy I, Donovan LK, Farooq H, Holgado BL, Sundaravadanam Y, et al. Childhood cerebellar tumours mirror conserved fetal transcriptional programs. Nature. (2019) 572:67–73. doi:  10.1038/s41586-019-1158-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Long KR, Huttner WB. How the extracellular matrix shapes neural development. Open Biol. (2019) 9:180216. doi:  10.1098/rsob.180216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Frantz C, Stewart KM, Weaver VM. The extracellular matrix at a glance. J Cell Sci. (2010) 123:4195–200. doi:  10.1242/jcs.023820 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Barros CS, Franco SJ, Müller U. Extracellular matrix: functions in the nervous system. Cold Spring Harb Perspect Biol. (2011) 3:a005108. doi:  10.1101/cshperspect.a005108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Heng C, Lefebvre O, Klein A, Edwards M, Simon-Assmann P, Orend G, et al. Functional role of laminin α1 chain during cerebellum development. Cell Adhesion Migration. (2011) 5:480–9. doi:  10.4161/cam.5.6.19191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Campos LS, Leone DP, Relvas JB, Brakebusch C, Fässler R, Suter U, et al. Beta1 integrins activate a MAPK signalling pathway in neural stem cells that contributes to their maintenance. Development. (2004) 131:3433–44. doi:  10.1242/dev.01199 [DOI] [PubMed] [Google Scholar]
  • 39. Campos LS. Beta1 integrins and neural stem cells: making sense of the extracellular environment. Bioessays. (2005) 27:698–707. doi:  10.1002/bies.20256 [DOI] [PubMed] [Google Scholar]
  • 40. Leone DP, Relvas JB, Campos LS, Hemmi S, Brakebusch C, Fässler R, et al. Regulation of neural progenitor proliferation and survival by beta1 integrins. J Cell Sci. (2005) 118:2589–99. doi:  10.1242/jcs.02396 [DOI] [PubMed] [Google Scholar]
  • 41. Bockmayr M, Mohme M, Klauschen F, Winkler B, Budczies J, Rutkowski S, et al. Subgroup-specific immune and stromal microenvironment in medulloblastoma. Oncoimmunology. (2018) 7:e1462430. doi:  10.1080/2162402X.2018.1462430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Riemondy KA, Venkataraman S, Willard N, Nellan A, Sanford B, Griesinger AM, et al. Neoplastic and immune single-cell transcriptomics define subgroup-specific intra-tumoral heterogeneity of childhood medulloblastoma. Neuro Oncol. (2022) 24:273–86. doi:  10.1093/neuonc/noab135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Williamson D, Schwalbe EC, Hicks D, Aldinger KA, Lindsey JC, Crosier S, et al. Medulloblastoma group 3 and 4 tumors comprise a clinically and biologically significant expression continuum reflecting human cerebellar development. Cell Rep. (2022) 40:111162. doi:  10.1016/j.celrep.2022.111162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Lathia JD, Mack SC, Mulkearns-Hubert EE, Valentim CLL, Rich JN. Cancer stem cells in glioblastoma. Genes Dev. (2015) 29:1203–17. doi:  10.1101/gad.261982.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Clevers H. The cancer stem cell: premises, promises and challenges. Nat Med. (2011) 17:313–9. doi:  10.1038/nm.2304 [DOI] [PubMed] [Google Scholar]
  • 46. Neftel C, Laffy J, Filbin MG, Hara T, Shore ME, Rahme GJ, et al. An integrative model of cellular states, plasticity, and genetics for glioblastoma. Cell. (2019) 178:835–849.e21. doi:  10.1016/j.cell.2019.06.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Batlle E, Clevers H. Cancer stem cells revisited. Nat Med. (2017) 23:1124–34. doi:  10.1038/nm.4409 [DOI] [PubMed] [Google Scholar]
  • 48. Hemmati HD, Nakano I, Lazareff JA, Masterman-Smith M, Geschwind DH, Bronner-Fraser M, et al. Cancerous stem cells can arise from pediatric brain tumors. Proc Natl Acad Sci USA. (2003) 100:15178–83. doi:  10.1073/pnas.2036535100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Singh SK, Hawkins C, Clarke ID, Squire JA, Bayani J, Hide T, et al. Identification of human brain tumour initiating cells. Nature. (2004) 432:396–401. doi:  10.1038/nature03128 [DOI] [PubMed] [Google Scholar]
  • 50. Suvà ML, Rheinbay E, Gillespie SM, Patel AP, Wakimoto H, Rabkin SD, et al. Reconstructing and reprogramming the tumor-propagating potential of glioblastoma stem-like cells. Cell. (2014) 157:580–94. doi:  10.1016/j.cell.2014.02.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Soeda A, Park M, Lee D, Mintz A, Androutsellis-Theotokis A, McKay RD, et al. Hypoxia promotes expansion of the CD133-positive glioma stem cells through activation of HIF-1alpha. Oncogene. (2009) 28:3949–59. doi:  10.1038/onc.2009.252 [DOI] [PubMed] [Google Scholar]
  • 52. Keith B, Simon MC. Hypoxia-inducible factors, stem cells, and cancer. Cell. (2007) 129:465–72. doi:  10.1016/j.cell.2007.04.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Semenza GL. Hypoxia-inducible factors in physiology and medicine. Cell. (2012) 148:399–408. doi:  10.1016/j.cell.2012.01.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Nallanthighal S, Heiserman JP, Cheon D-J. The role of the extracellular matrix in cancer stemness. Front Cell Dev Biol. (2019) 7:86. doi:  10.3389/fcell.2019.00086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Hall PE, Lathia JD, Caldwell MA, Ffrench-Constant C. Laminin enhances the growth of human neural stem cells in defined culture media. BMC Neurosci. (2008) 9:71. doi:  10.1186/1471-2202-9-71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Danen EH, Yamada KM. Fibronectin, integrins, and growth control. J Cell Physiol. (2001) 189:1–13. doi:  10.1002/jcp.1137 [DOI] [PubMed] [Google Scholar]
  • 57. Kazanis I, Ffrench-Constant C. Extracellular matrix and the neural stem cell niche. Dev Neurobiol. (2011) 71:1006–17. doi:  10.1002/dneu.20970 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Staquicini FI, Dias-Neto E, Li J, Snyder EY, Sidman RL, Pasqualini R, et al. Discovery of a functional protein complex of netrin-4, laminin γ1 chain, and integrin α6β1 in mouse neural stem cells. Proc Natl Acad Sci. (2009) 106:2903–8. doi:  10.1073/pnas.0813286106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Fiorilli P, Partridge D, Staniszewska I, Wang JY, Grabacka M, So K, et al. Integrins mediate adhesion of medulloblastoma cells to tenascin and activate pathways associated with survival and proliferation. Lab Invest. (2008) 88:1143–56. doi:  10.1038/labinvest.2008.89 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Charles NA, Holland EC, Gilbertson R, Glass R, Kettenmann H. The brain tumor microenvironment. Glia. (2012) 60:502–14. doi:  10.1002/glia.21264 [DOI] [PubMed] [Google Scholar]
  • 61. Calabrese C, Poppleton H, Kocak M, Hogg TL, Fuller C, Hamner B, et al. A perivascular niche for brain tumor stem cells. Cancer Cell. (2007) 11:69–82. doi:  10.1016/j.ccr.2006.11.020 [DOI] [PubMed] [Google Scholar]
  • 62. Engler AJ, Sen S, Sweeney HL, Discher DE. Matrix elasticity directs stem cell lineage specification. Cell. (2006) 126:677–89. doi:  10.1016/j.cell.2006.06.044 [DOI] [PubMed] [Google Scholar]
  • 63. Levental KR, Yu H, Kass L, Lakins JN, Egeblad M, Erler JT, et al. Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell. (2009) 139:891–906. doi:  10.1016/j.cell.2009.10.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, Gefen A, et al. Tensional homeostasis and the Malignant phenotype. Cancer Cell. (2005) 8:241–54. doi:  10.1016/j.ccr.2005.08.010 [DOI] [PubMed] [Google Scholar]
  • 65. Moro L, Dolce L, Cabodi S, Bergatto E, Boeri Erba E, Smeriglio M, et al. Integrin-induced epidermal growth factor (EGF) receptor activation requires c-Src and p130Cas and leads to phosphorylation of specific EGF receptor tyrosines. J Biol Chem. (2002) 277:9405–14. doi:  10.1074/jbc.M109101200 [DOI] [PubMed] [Google Scholar]
  • 66. Abraham RT. Cell cycle checkpoint signaling through the ATM and ATR kinases. Genes Dev. (2001) 15:2177–96. doi:  10.1101/gad.914401 [DOI] [PubMed] [Google Scholar]
  • 67. Jackson SP, Bartek J. The DNA-damage response in human biology and disease. Nature. (2009) 461:1071–8. doi:  10.1038/nature08467 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Bao S, Wu Q, McLendon RE, Hao Y, Shi Q, Hjelmeland AB, et al. Glioma stem cells promote radioresistance by preferential activation of the DNA damage response. Nature. (2006) 444:756–60. doi:  10.1038/nature05236 [DOI] [PubMed] [Google Scholar]
  • 69. Diehn M, Cho RW, Lobo NA, Kalisky T, Dorie MJ, Kulp AN, et al. Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature. (2009) 458:780–3. doi:  10.1038/nature07733 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Gray LH, Conger AD, Ebert M, Hornsey S, Scott OC. The concentration of oxygen dissolved in tissues at the time of irradiation as a factor in radiotherapy. Br J Radiol. (1953) 26:638–48. doi:  10.1259/0007-1285-26-312-638 [DOI] [PubMed] [Google Scholar]
  • 71. Eke I, Dickreuter E, Cordes N. Enhanced radiosensitivity of head and neck squamous cell carcinoma cells by β1 integrin inhibition. Radiother Oncol. (2012) 104:235–42. doi:  10.1016/j.radonc.2012.05.009 [DOI] [PubMed] [Google Scholar]
  • 72. Park CC, Zhang HJ, Yao ES, Park CJ, Bissell MJ. β1 integrin inhibition dramatically enhances radiotherapy efficacy in human breast cancer xenografts. Cancer Res. (2008) 68:4398–405. doi:  10.1158/0008-5472.CAN-07-6390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Storch K, Cordes N. Focal adhesion-chromatin linkage controls tumor cell resistance to radio- and chemotherapy. Chemother Res Pract. (2012) 2012:319287. doi:  10.1155/2012/319287 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Bonnans C, Chou J, Werb Z. Remodelling the extracellular matrix in development and disease. Nat Rev Mol Cell Biol. (2014) 15:786–801. doi:  10.1038/nrm3904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Barcellos-Hoff MH, Park C, Wright EG. Radiation and the microenvironment - tumorigenesis and therapy. Nat Rev Cancer. (2005) 5:867–75. doi:  10.1038/nrc1735 [DOI] [PubMed] [Google Scholar]
  • 76. Murphy JM, Rodriguez YAR, Jeong K, Ahn E-Y, Lim S-T. Targeting focal adhesion kinase in cancer cells and the tumor microenvironment. Exp Mol Med. (2020) 52:877–86. doi:  10.1038/s12276-020-0447-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Dupont S, Morsut L, Aragona M, Enzo E, Giulitti S, Cordenonsi M, et al. Role of YAP/TAZ in mechanotransduction. Nature. (2011) 474:179–83. doi:  10.1038/nature10137 [DOI] [PubMed] [Google Scholar]
  • 78. Pankov R, Yamada KM. Fibronectin at a glance. J Cell Sci. (2002) 115:3861–3. doi:  10.1242/jcs.00059 [DOI] [PubMed] [Google Scholar]
  • 79. Christofides A, Strauss L, Yeo A, Cao C, Charest A, Boussiotis VA. The complex role of tumor-infiltrating macrophages. Nat Immunol. (2022) 23:1148–56. doi:  10.1038/s41590-022-01267-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Zhang H, Ozaki I, Mizuta T, Matsuhashi S, Yoshimura T, Hisatomi A, et al. β1-integrin protects hepatoma cells from chemotherapy induced apoptosis via a mitogen-activated protein kinase dependent pathway. Cancer. (2002) 95:896–906. doi:  10.1002/cncr.10751 [DOI] [PubMed] [Google Scholar]
  • 81. Park CC, Zhang H, Pallavicini M, Gray JW, Baehner F, Park CJ, et al. β1 integrin inhibitory antibody induces apoptosis of breast cancer cells, inhibits growth, and distinguishes Malignant from normal phenotype in three dimensional cultures and in vivo. Cancer Res. (2006) 66:1526–35. doi:  10.1158/0008-5472.CAN-05-3071 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Hu H-H, Wang S-Q, Shang H-L, Lv H-F, Chen B-B, Gao S-G, et al. Roles and inhibitors of FAK in cancer: current advances and future directions. Front Pharmacol. (2024) 15:1274209. doi:  10.3389/fphar.2024.1274209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Sulzmaier FJ, Jean C, Schlaepfer DD. FAK in cancer: mechanistic findings and clinical applications. Nat Rev Cancer. (2014) 14:598–610. doi:  10.1038/nrc3792 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Mas-Moruno C, Rechenmacher F, Kessler H. Cilengitide: the first anti-angiogenic small molecule drug candidate design, synthesis and clinical evaluation. Anti-Cancer Agents Med Chem. (2010) 10:753–68. doi:  10.2174/187152010794728639 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Stupp R, Hegi ME, Gorlia T, Erridge SC, Perry J, Hong Y-K, et al. Cilengitide combined with standard treatment for patients with newly diagnosed glioblastoma with methylated MGMT promoter (CENTRIC EORTC 26071-22072 study): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol. (2014) 15:1100–8. doi:  10.1016/S1470-2045(14)70379-1 [DOI] [PubMed] [Google Scholar]
  • 86. Echavidre W, Picco V, Faraggi M, Montemagno C. Integrin-αvβ3 as a therapeutic target in glioblastoma: Back to the future? Pharmaceutics. (2022) 14:1053. doi:  10.3390/pharmaceutics14051053 [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES