Evidence map›Paper›PMID 41652635›Full record

ArticleBiomarker research2026

Precision oncology in a dish: patient-derived glioma organoids to guide novel therapeutic strategies.

Alvaro Monago-Sánchez, Laura Mateos-Madrigal, Josefa Carrión-Navarro, Ana Hernández-Martínez, Carlos Martínez-Riveiro, María Castelló-Pons, María Victoria Pacheco-Fuenmayor, Raquel Gutiérrez-González, Noemí Lomillos-Prieto, Ricardo Prat-Acín and 9 more

Abstract read
In one paragraph

Article in Biomarker research, 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

19 authors.

Alvaro Monago-SánchezFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
Laura Mateos-MadrigalFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
Josefa Carrión-NavarroFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
Ana Hernández-MartínezFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
Carlos Martínez-RiveiroFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
María Castelló-PonsNeuro-Oncology Unit, Instituto de Salud Carlos III-UFIEC, Madrid, Spain.
María Victoria Pacheco-FuenmayorFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.
Raquel Gutiérrez-GonzálezDepartment of Neurosurgery, Hospital Universitario Puerta de Hierro, IDIPHISA, Madrid, Spain.
Noemí Lomillos-PrietoDepartment of Neurosurgery, Hospital Universitario Puerta de Hierro, IDIPHISA, Madrid, Spain.
Ricardo Prat-AcínDepartment of Neurosurgery, Hospital La Fe, Valencia, Spain.
Santiago Gil-Robles MathieuHospital Universitario Quironsalud, Madrid, Spain.
Cristina Aracil-GonzálezHospital Universitario Quironsalud, Madrid, Spain.
Angel Pérez-NúñezDepartment of Neurosurgery, Hospital Universitario 12 de Octubre, Madrid, Spain.
Francisco Pérez-RodríguezFundación de Investigación HM Hospitales, Anatomía Patológica HM Hospitales, Madrid, Spain.
Pilar Sánchez-GómezNeuro-Oncology Unit, Instituto de Salud Carlos III-UFIEC, Madrid, Spain.
Beatriz Martín-JouveElectron Microscopy Unit, Centro Nacional de Biotecnología (CNB-CSIC), Campus de Cantoblanco, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Antonio J Sánchez-LópezNeuroimmunology Unit, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana, Madrid, 28222, Spain.
Noemi García-RomeroFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain. noemi.garcia@ufv.es.
Ángel Ayuso-SacidoFaculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain. angel.ayuso@isciii.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas are the most common primary brain tumors in adults and encompass a spectrum from IDH-mutant gliomas to highly aggressive IDH-wild type glioblastomas (GBM). Despite advances in our understanding of glioma biology, GBM remains largely incurable, with a median overall survival (mOS) of approximately 15 months and minimal improvements over recent decades. The current standard of care, maximal surgical resection followed by radiotherapy and temozolomide (TMZ) chemotherapy, has proven insufficient, and experimental approaches such as immune checkpoint inhibitors and CAR-T cell therapies have also failed to provide meaningful survival benefits. These limitations highlight the urgent need for innovative, patient-specific platforms to evaluate novel therapeutic strategies.

methodsIn this study, we established patient-derived glioma organoids (GOs) from 61 patients, including both IDH-mutant gliomas (GOmut) and IDH-wild type glioblastoma (GOwt). These organoids were characterized by a variety of techniques against their parental tumors. Afterwards, we performed in silico drug discovery with paired RNA-seq data and validated the results with diverse glioma models.

resultsGOs recapitulated the cellular heterogeneity, histological architecture, and molecular signatures of their parental tumors, including the preservation of clinically relevant features such as immune profiles, vascular structures, and tumor subtype. Notably, GOmuts retained the IDH mutation over extended culture periods. Importantly, GOs maintained resistance to standard chemotherapeutic agents, mirroring the limited response of gliomas to conventional chemotherapy. Our unbiased in silico screening via the DiSCoVER platform applied to RNA-seq data from paired tumors and GOs identified alectinib, dabrafenib, and ruxolitinib as promising candidates. All three compounds proved effective in in vitro cytotoxicity assays, with alectinib and ruxolitinib displaying significant antitumoral effects in vitro.

conclusionsOur findings establish GOs as a clinically relevant and biologically faithful platform for therapeutic screening in glioma. By integrating transcriptomics-based drug discovery with a patient-specific organoid model, we present an easy to implement platform for more effective and personalized treatments for glioma patients. Our findings also support the inclusion of two compounds, alectinib and ruxolitinib, in future clinical investigations.

Indexed as

GlioblastomaGliomaOrganoidsPersonalized therapies

Identifiers

PMID41652635
PMCPMC12922403

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.