Evidence map›Paper›PMID 42104024›Full record

ArticleBJC reports2026

Molecular subtypes and the (in vitro) response of glioblastoma to temozolomide.

Silvia Rancati, Matilde Campolungo, Gerusa Duarte Dalmolin, Pierre Lau, Federica Furia, Alessandro Coppe, Fabio Landuzzi, Manuela Vecchi, Andrea Cavalli, Stefano Gustincich and 1 more

Erratum issuedAbstract read
In one paragraph

Article in BJC reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

11 authors.

Silvia RancatiCenter for Convergent Technologies, Laboratory for Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Matilde CampolungoCenter for Convergent Technologies, Laboratory for Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Gerusa Duarte DalmolinCenter for Convergent Technologies, Laboratory for Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Pierre LauCenter for Human Technologies, Non-coding RNAs and RNA-based therapeutics, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Federica FuriaCenter for Clinical and Computational Genomics, Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia (IIT), Aosta, Italy.
Alessandro CoppeCenter for Clinical and Computational Genomics, Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia (IIT), Aosta, Italy.
Fabio LanduzziCenter for Clinical and Computational Genomics, Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia (IIT), Aosta, Italy.
Manuela VecchiCenter for Clinical and Computational Genomics, Non-coding RNAs and RNA-based therapeutics, Fondazione Istituto Italiano di Tecnologia (IIT), Aosta, Italy.
Andrea CavalliCenter for Clinical and Computational Genomics, Computational and Chemical Biology, Fondazione Istituto Italiano di Tecnologia (IIT), Aosta, Italy.
Stefano GustincichCenter for Human Technologies, Non-coding RNAs and RNA-based therapeutics, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Nicola TirelliCenter for Convergent Technologies, Laboratory for Polymers and Biomaterials, Fondazione Istituto Italiano di Tecnologia (IIT), Genova, Italy. nicola.tirelli@iit.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe address the therapeutic relevance of glioblastoma (GBM)'s molecular characterization, focusing on whether a proneural-vs-mesenchymal classification may describe GBM heterogeneity, correlate to stemness and CD44 (a marker often, but conflictingly, used in GBM), and have a prognostic value in terms of temozolomide (TMZ) resistance.

methodsWe molecularly profiled 4 patient-derived GBM cells (PD-GBM) and a reference cell line (U87), validating the results in public datasets (PD-GBM, TCGA-GBM), then studying the subtype-specific response to TMZ in vitro, both under normoxia and simulated hypoxia.

resultsFirstly, the proneural subtype transcriptionally and phenotypically correlates with higher stemness. Secondly, CD44 inversely correlates to stemness, acting as a mesenchymal marker both intra-tumorally (FACS-sorted CD44

conclusionPD-GBM show clear proneural/stemness and mesenchymal/CD44 correlations, which may bear prognostic significance, as more proneural/stem GBMs appeared more capable to develop TMZ resistance.

Identifiers

PMID42104024
PMCPMC13156310

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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.