Evidence map›Paper›PMID 42045324›Full record

ReviewNPJ precision oncology2026

Modeling glioblastoma relapse in vitro: a critical journey from 2D models to organ-on-chip alternatives.

Christian Hernandez Tellez, Selina Camenisch, Peter Wick, Eugenio Sanchez-Arreola, Vanesa Ayala-Nunez

Abstract readReview
In one paragraph

Review in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Christian Hernandez Tellez *Departamento de Ciencias Químico-Biológicas, Universidad de las Américas Puebla, Ex Hacienda Sta. Catarina Mártir S/N, 72810, San Andrés Cholula, Puebla, Mexico.
Selina Camenisch *Swiss Federal Laboratories for Materials Science and Technology (Empa), Laboratory for Nanomaterials in Health, St. Gallen, Switzerland.
Peter WickSwiss Federal Laboratories for Materials Science and Technology (Empa), Laboratory for Nanomaterials in Health, St. Gallen, Switzerland.
Eugenio Sanchez-ArreolaDepartamento de Ciencias Químico-Biológicas, Universidad de las Américas Puebla, Ex Hacienda Sta. Catarina Mártir S/N, 72810, San Andrés Cholula, Puebla, Mexico. eugenio.sanchez@udlap.mx.
Vanesa Ayala-NunezSwiss Federal Laboratories for Materials Science and Technology (Empa), Laboratory for Nanomaterials in Health, St. Gallen, Switzerland. vanesa.ayala@empa.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by high recurrence rates and poor prognosis despite multimodal treatment. Understanding the mechanisms underlying GBM relapse is crucial for developing more effective therapeutic strategies. In vitro relapse models provide controlled environments to investigate tumor recurrence, therapeutic resistance, and disease progression. This review explores the spectrum of in vitro models that have been established to study human GBM relapse, including 2D cultures, 3D spheroids/organoids, microfluidic and organ-on-a-chip systems. Among the key findings, it is determined that developing in vitro GBM relapse models requires the replication of longitudinal and clinically adapted treatment regimes, assessment of therapeutic efficacy under relapse conditions, and the incorporation of treatment discontinuation phases to permit tumor regrowth and relapse formation. The integration of these findings enabled the conceptualization and design of an advanced in vitro GBM relapse system, establishing a roadmap for future relapse research. By strategically employing representative GBM relapse models, researchers can both identify patient-specific therapies to prevent relapse and validate promising treatments for recurrent disease. This crucial work bridges the gap between experimental models and patient outcomes, advancing precision medicine for recurrent GBM.

Identifiers

PMID42045324
PMCPMC13324273

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.