Evidence map›Paper›PMID 38747088›Full record

ArticleSmall methods2024

Biomimetic Approach of Brain Vasculature Rapidly Characterizes Inter- and Intra-Patient Migratory Diversity of Glioblastoma.

Michele Crestani, Nikolaos Kakogiannos, Simone Iori, Fabio Iannelli, Tania Dini, Claudio Maderna, Monica Giannotta, Giuliana Pelicci, Paolo Maiuri, Pascale Monzo and 1 more

Abstract read
In one paragraph

Article in Small methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Michele CrestaniIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Nikolaos KakogiannosIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Simone IoriIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Fabio IannelliIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Tania DiniIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Claudio MadernaIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Monica GiannottaIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Giuliana PelicciDepartment of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, 20139, Italy.
Paolo MaiuriIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.
Pascale MonzoIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.ORCID 0000-0002-0081-3701
Nils C GauthierIFOM ETS - The AIRC Institute of Molecular Oncology, Via Adamello 16, Milan, 20139, Italy.

Funding

European School of Molecular MedicineFondazione AIRC per la ricerca sul cancro ETS 22461Fondazione AIRC per la ricerca sul cancro ETS 27101Fondazione AIRC per la ricerca sul cancro ETS 28198
6 · The paper itself

Abstract

Glioblastomas exhibit remarkable heterogeneity at various levels, including motility modes and mechanoproperties that contribute to tumor resistance and recurrence. In a recent study using gridded micropatterns mimicking the brain vasculature, glioblastoma cell motility modes, mechanical properties, formin content, and substrate chemistry are linked. Now is presented, SP2G (SPheroid SPreading on Grids), an analytic platform designed to identify the migratory modes of patient-derived glioblastoma cells and rapidly pinpoint the most invasive sub-populations. Tumorspheres are imaged as they spread on gridded micropatterns and analyzed by this semi-automated, open-source, Fiji macro suite that characterizes migration modes accurately. SP2G can reveal intra-patient motility heterogeneity with molecular correlations to specific integrins and EMT markers. This system presents a versatile and potentially pan-cancer workflow to detect diverse invasive tumor sub-populations in patient-derived specimens and offers a valuable tool for therapeutic evaluations at the individual patient level.

Indexed as

Brain NeoplasmsCell MovementGlioblastomaBiomimeticsBrainCell Line, TumorHumansSpheroids, Cellularcell migrationcytoskeletonglioblastomamicropatterning

Identifiers

PMID38747088
PMCPMC11671864

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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.