Evidence map›Paper›PMID 41649584›Full record

SynthesisClinical and experimental medicine2026

In vitro assays as a tool to personalize treatment in central nervous system tumors: a systematic literature review.

Martina Offi, Mariachiara Buccarelli, Silvia Chiesa, Ciro Mazzarella, Maria Laura Falchetti, Giovanni Maria Ceccarelli, Giuliano Di Monaco, Federico Maria Cocilovo, Martina Taglialatela, Sohum Shetty and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical and experimental medicine, 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

15 authors.

Martina Offi *Department of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Mariachiara Buccarelli *Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.
Silvia ChiesaDepartment of Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Ciro MazzarellaDepartment of Radiation Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Maria Laura FalchettiInstitute of Biochemistry and Cell Biology, National Research Council, Monterotondo, Rome, Italy.
Giovanni Maria CeccarelliDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Giuliano Di MonacoDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Federico Maria CocilovoDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Martina TaglialatelaDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Sohum ShettyDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Alessandro OliviDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Liverana LaurettiDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Roberto PalliniDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy.
Lucia Ricci-VitianiDepartment of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.
Quintino Giorgio D'AlessandrisDepartment of Neuroscience, Catholic University School of Medicine, Rome, Italy. quintinogiorgio.dalessandris@policlinicogemelli.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized therapy in neuro-oncology has traditionally relied on molecular profiling. However, clinical benefit has been scarce to date. Recently, in vitro drug sensitivity testing using patient-derived models-such as organoids and cell lines-has emerged as a promising strategy. We systematically reviewed evidence on the efficacy of in vitro drug screening in predicting treatment outcome for brain tumors, including but not limited to glioblastoma. PRISMA guidelines were followed. Fifteen studies were included, comprising 300 patients overall. Cohort studies built the largest group; only one randomized clinical trial was found. In vitro assays, using patient-derived stem cells, standardized assays ad the ChemoID, or tumor-derived organoids, were able to reliably predict treatment outcome. However, the overall quality of evidence was limited. These models may overcome limitations of molecular profiling, especially in glioblastoma, where driver mutations are often lacking and the molecular profile evolves at recurrence. Although initial results are promising, further validation is needed before clinical implementation.

Indexed as

Antineoplastic AgentsBrain NeoplasmsCentral Nervous System NeoplasmsPrecision MedicineDrug Screening Assays, AntitumorGlioblastomaHumansOrganoidsAntineoplastic AgentsCerebral tumorsChemoIDGlioblastomaGlioma stem-like cellsTailored therapy

Identifiers

PMID41649584
PMCPMC12886260

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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.