Evidence map›Paper›PMID 42848171›Full record

ReviewMedical oncology (Northwood, London, England)2026

Breaking adaptive oncogenic resistance in glioblastoma via targeting the EGFR-STAT3 axis.

Nisar Ahmad, Arfan Ullah

Abstract readReview
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In one paragraph

Review in Medical oncology (Northwood, London, England), 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

2 authors.

Nisar AhmadDepartment of Biomedical Sciences, Creighton University, Omaha, NE, 68178, USA. nisar.dawar1212@gmail.com.ORCID http://orcid.org/0000-0001-9187-1183
Arfan UllahDepartment of Biotechnology, University of Science & Technology, Bannu, KPK, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumor in adults and remains refractory to current targeted therapies. Among the oncogenic pathways implicated in GBM pathogenesis, epidermal growth factor receptor (EGFR) signaling and the Janus kinase/signal transducer and activator of transcription 3 (JAK/STAT3) pathway have emerged as central drivers of tumor growth, immune evasion, and therapeutic resistance. Despite frequent EGFR amplification and mutation, clinical trials targeting EGFR have yielded disappointing outcomes, underscoring the existence of adaptive resistance mechanisms. Accumulating evidence indicated that persistent STAT3 activation represents a critical compensatory node that sustains oncogenic transcriptional programs even when EGFR signaling is pharmacologically inhibited. Here, we propose that the EGFR-STAT3 axis functions not as a linear signaling cascade, but as an adaptive resistance hub that integrates growth factor signaling, inflammatory cytokines, hypoxia, tumor-associated macrophages, and therapeutic stress. This signaling rewiring promotes glioma stemness, metabolic reprogramming, immune suppression, and resistance to chemotherapy and radiotherapy. This review systematically dissects the molecular mechanisms underlying EGFR-STAT3 crosstalk, highlights non-canonical and microenvironment-driven STAT3 activation, explains past therapeutic failures, and evaluates new therapeutic strategies targeting this axis to overcome therapeutic oncogenic adaptive resistance in glioblastoma.

Indexed as

Brain NeoplasmsDrug Resistance, NeoplasmGlioblastomaSTAT3 Transcription FactorAnimalsErbB ReceptorsHumansSignal TransductionTumor MicroenvironmentEGFR protein, humanErbB ReceptorsSTAT3 protein, humanSTAT3 Transcription FactorAdaptive therapeutic resistanceEGFR signalingGlioblastomaSTAT3 activationTumor microenvironment

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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.