Evidence map›Paper›PMID 42883362›Full record

ReviewBiology2026

Disrupted Signalling Landscapes in Glioblastoma: Mechanistic Insights and Therapeutic Frontiers.

Ammar Asif Ali Ansari, Natalia Haddad, Ana Maria Assed, Nada Awaad, Shifa Badruddin, Afroditi Damou, Taslima Haque Shuwara, Marihah Rizwy, Nadine Wehida, Ahmed Elbediwy

Abstract readReview
In one paragraph

Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ammar Asif Ali AnsariDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Natalia HaddadDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Ana Maria AssedDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Nada AwaadDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Shifa BadruddinDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Afroditi DamouDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Taslima Haque ShuwaraDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Marihah RizwyDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Nadine WehidaDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.
Ahmed ElbediwyDepartment of Biomolecular Sciences, Kingston University London, Kingston-upon-Thames KT1 2EE, UK.ORCID 0000-0002-2102-7339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most prevalent and aggressive malignant primary brain tumour, originating from glial cells known as astrocytes and accounting for over 50% of all central nervous system malignancies. Its aetiology is linked to various factors, including radiation exposure, genetic alterations, and viral influences, which trigger the uncontrolled growth and rapid infiltration of glial cells into surrounding brain tissues. Despite standard multidisciplinary management involving maximal safe surgical resection, radiotherapy, and temozolomide, the prognosis remains poor. The molecular landscape of GBM is characterised by profound dysregulation across highly conserved signalling networks, including the PI3K/AKT/mTOR, ERK/MAPK, Wnt/β-catenin, and Hippo pathways. These pathways are frequently hijacked by genetic and epigenetic alterations such as EGFR amplification and PTEN loss, which drive essential hallmarks of cancer like uncontrolled proliferation, angiogenesis, and apoptosis evasion. A defining feature of GBM is its extreme intra-tumoral heterogeneity and cellular plasticity, where tumour cells dynamically transition between distinct transcriptional states, including mesenchymal, astrocyte-like, and neural progenitor-like, to adapt to therapeutic pressures. This complexity is further exacerbated by microenvironmental factors. Clinical progress is severely hindered by the blood-brain barrier (BBB), which restricts systemic agents from reaching invasive tumour margins. Targeted monotherapies, such as EGFR and mTOR inhibitors, have largely failed in clinical trials due to compensatory feedback loops and pathway redundancy. Consequently, the therapeutic paradigm is shifting toward rational combination therapies and novel immunotherapeutic platforms. Emerging strategies, such as bivalent CAR T-cell therapy targeting both EGFRvIII and IL-13Rα2, have shown early clinical promise in achieving tumour regression, highlighting a potential path toward precision medicine. This review synthesises current insights into signalling dysregulation and explores the future frontiers of multi-targeted therapeutic interventions in GBM.

Indexed as

clinical progressclinical therapiesERK/MAPKglioblastomaGMBHippoPI3K/AKT/mTORprognosissignalling disruptionsignalling pathwaystherapeutic interventionsWnt/β-catenin

Identifiers

PMID42883362
PMCPMC13663338

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.