Evidence map›Paper›PMID 40469110›Full record

ArticleiScience2025

Gallium disrupts endoplasmic reticulum iron metabolism to induce lipid metabolic reprogramming in glioblastoma cells.

Michael S Petronek, Jeffrey M Stolwijk, Amira Zaher, Stephenson B Owusu, John Cooke, Akalanka B Ekanayake, Alexei V Tivanski, Jingyun Lee, Cristina M Furdui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. 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

9 authors.

Michael S PetronekDepartment of Radiation Oncology, Division of Free Radical and Radiation Biology, The University of Iowa, Iowa City, IA, USA.
Jeffrey M StolwijkDepartment of Radiation Oncology, Division of Free Radical and Radiation Biology, The University of Iowa, Iowa City, IA, USA.
Amira ZaherDepartment of Radiation Oncology, Division of Free Radical and Radiation Biology, The University of Iowa, Iowa City, IA, USA.
Stephenson B OwusuDepartment of Radiation Oncology, Division of Free Radical and Radiation Biology, The University of Iowa, Iowa City, IA, USA.
John CookeUniversity of Loyola-Chicago, 1032 W Sheridan Rd, Chicago, IL 60660, USA.
Akalanka B EkanayakeDepartment of Chemistry, University of Iowa, Iowa City, IA, USA.
Alexei V TivanskiDepartment of Chemistry, University of Iowa, Iowa City, IA, USA.
Jingyun LeeDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Cristina M FurduiDepartment of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gallium based therapeutic strategies are thought to be an effective means to promote tumor cell killing that are currently being investigated in glioblastoma. Gallium is a group IIIa metal that is redox inactive, however, its atomic similarity to iron allows it to serve as an iron mimic that may disrupt Fe metabolism. The current understanding of its mechanism of action is related to its ability to inhibit ribonucleotide reductase and the electron transport chain, however, its effects on other iron-dependent metabolic processes (e.g., lipid metabolism) are unknown. Ferroptosis is a unique iron-dependent form of cell death, thus, the goal of this study is to evaluate the effects of Ga(NO

Indexed as

BiochemistryImmunologyMolecular biologyNeuroscience

Identifiers

PMID40469110
PMCPMC12136846

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.