Evidence map›Paper›PMID 37762559›Full record

ReviewInternational journal of molecular sciences2023

Understanding Glioblastoma Signaling, Heterogeneity, Invasiveness, and Drug Delivery Barriers.

Nadin Rabah, Fatima-Ezzahra Ait Mohand, Nataly Kravchenko-Balasha

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

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  11. CD47 stabilizes ROBO2 to regulate glioblastoma progression by preventing ITCH-mediated ubiquitination.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

3 authors.

Nadin RabahThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Fatima-Ezzahra Ait MohandThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.
Nataly Kravchenko-BalashaThe Institute of Biomedical and Oral Research, Hebrew University of Jerusalem, Jerusalem 91120, Israel.ORCID 0000-0001-6943-7479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most prevalent and aggressive type of brain cancer, namely, glioblastoma (GBM), is characterized by intra- and inter-tumor heterogeneity and strong spreading capacity, which makes treatment ineffective. A true therapeutic answer is still in its infancy despite various studies that have made significant progress toward understanding the mechanisms behind GBM recurrence and its resistance. The primary causes of GBM recurrence are attributed to the heterogeneity and diffusive nature; therefore, monitoring the tumor's heterogeneity and spreading may offer a set of therapeutic targets that could improve the clinical management of GBM and prevent tumor relapse. Additionally, the blood-brain barrier (BBB)-related poor drug delivery that prevents effective drug concentrations within the tumor is discussed. With a primary emphasis on signaling heterogeneity, tumor infiltration, and computational modeling of GBM, this review covers typical therapeutic difficulties and factors contributing to drug resistance development and discusses potential therapeutic approaches.

Indexed as

Brain NeoplasmsDrug Delivery SystemsGlioblastomaSignal TransductionAnimalsAntineoplastic AgentsBlood-Brain BarrierDrug Resistance, NeoplasmHumansNeoplasm InvasivenessAntineoplastic Agentsblood–brain barrier (BBB)GBM signalingglioblastomaheterogeneityinvasionrecurrencetargeted therapy

Identifiers

PMID37762559
PMCPMC10532387

What OpenQuestion holds

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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.