Evidence map›Paper›PMID 40722305›Full record

ArticleBrain sciences2025

Biomolecular Predictors of Recurrence Patterns and Survival in IDH-Wild-Type Glioblastoma: A Retrospective Analysis of Patients Treated with Radiotherapy and Temozolomide.

Paolo Tini, Flavio Donnini, Francesco Marampon, Marta Vannini, Tommaso Carfagno, Pierpaolo Pastina, Giovanni Rubino, Salvatore Chibbaro, Alfonso Cerase, Giulio Bagnacci and 6 more

Abstract read
In one paragraph

Article in Brain sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Paolo TiniUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Flavio DonniniUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Francesco MaramponRadiation Oncology, Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, 00185 Rome, Italy.
Marta VanniniUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Tommaso CarfagnoUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Pierpaolo PastinaUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Giovanni RubinoUnit of Radiation Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Salvatore ChibbaroNeurosurgery, Azienda Ospedaliera Universitaria Senese, 53100 Siena, Italy.
Alfonso CeraseUnit of Neuroradiology, Azienda Ospedaliera Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0003-4753-6649
Giulio BagnacciUnit of Diagnostic Imaging, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Armando PerrellaUnit of Diagnostic Imaging, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0888-5187
Maria Antonietta MazzeiUnit of Diagnostic Imaging, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-6778-6894
Alessandra PascucciCenter for Immuno-Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Vincenzo D'AlonzoCenter for Immuno-Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9264-377X
Anna Maria Di GiacomoCenter for Immuno-Oncology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Giuseppe MinnitiRadiation Oncology, Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0000-0003-1239-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimGlioblastoma (GBM) is the most aggressive primary brain tumor in adults, with poor prognosis despite maximal surgical resection, radiotherapy (RT), and temozolomide (TMZ) per the Stupp protocol. IDH-wild-type GBM, the predominant molecular subtype, frequently harbors EGFR amplification and is resistant to therapy, while MGMT promoter methylation predicts improved TMZ response. This study aimed to assess the prognostic impact of EGFR and MGMT status on survival and recurrence patterns in IDH-wild-type GBM. MATERIALS AND

methodsWe retrospectively analyzed 218 patients with IDH-wild-type GBM treated at the Azienda Ospedaliero-Universitaria Senese (2016-2024). All patients underwent maximal safe surgical resection whenever feasible. The cohort includes patients who received gross total resection (GTR), subtotal resection (STR), or biopsy only, depending on tumor location and clinical condition, followed by intensity-modulated RT (59.4-60 Gy) with concurrent and adjuvant TMZ. EGFR amplification was assessed via FISH/NGS and immunohistochemistry; MGMT promoter methylation was determined using methylation-specific PCR. Progression-free survival (PFS), overall survival (OS), and recurrence patterns (in-field, marginal, out-field) were evaluated using Kaplan-Meier, Cox regression, and logistic regression analyses.

resultsAmong patients (64.7% male; mean age 61.8), 58.7% had EGFR amplification and 49.1% showed MGMT methylation. Median OS and PFS were 14 and 8 months, respectively. EGFR non-amplified/MGMT methylated tumors had the best outcomes (OS: 22.0 months, PFS: 10.5 months), while EGFR-amplified/MGMT unmethylated tumors fared worst (OS: 10.0 months, PFS: 5.0 months;

conclusionsEGFR amplification and MGMT methylation significantly influence survival and recurrence dynamics in IDH-wild-type GBM. Incorporating these biomarkers into treatment planning may enable tailored therapeutic strategies, potentially improving outcomes in this challenging disease. Prospective studies are needed to validate biomolecularly guided management approaches.

Indexed as

EGFRglioblastomaMGMTpattern of recurrenceradiotherapy

Identifiers

PMID40722305
PMCPMC12293595

What Socratic 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 Socratic graph.