Evidence map›Paper›PMID 41493644›Full record

ArticleBreast cancer research and treatment2026

Inhibition of GPX4 induces the death of p53-mutant triple-negative breast cancer cells.

William M Tahaney, Amanda Lanier, Jing Qian, Cassandra L Moyer, Nghi Nguyen, Yanxia Ma, Jamal Hill, Reid T Powell, Clifford C Stephan, Peter J A Davies and 2 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

12 authors.

William M TahaneyDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Amanda LanierDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Jing QianDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Cassandra L MoyerDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Nghi NguyenCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
Yanxia MaDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Jamal HillDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Reid T PowellCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
Clifford C StephanCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
Peter J A DaviesCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA.
Abhijit MazumdarDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Powel H BrownDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA. phbrown@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Cancer Prevention and Research Institute of Texas RP150578Komen SAB grant KG081694NCI Core Grant CA016672NCI NIH HHS P30 CA016672Susan G Komen Promise Grant KG081694
6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high rates of tumor protein 53 (TP53) mutation and with limited targeted therapies. Despite being clinically advantageous, direct targeting of mutant TP53 has been challenging. Therefore, we hypothesized that p53-mutant TNBC cells rely upon other potentially targetable survival pathways.

methodsIn vitro and in silico screens were used to identify drugs that induced preferential death in TP53-mutant cells. The effect of the ferroptosis inducer ML-162 was tested both in vitro and in vivo and the mechanism of cell death following ML-162 treatment or GPX4 knockout was determined.

resultsHigh-throughput drug screening demonstrated that TP53-mutant TNBCs are highly sensitive to peroxidase, cell cycle, cell division, and proteasome inhibitors. We further characterized the effect of the ferroptosis inducer ML-162 and demonstrated that ML-162 induces preferential ferroptosis in TP53-mutant TNBC cells. Treatment of TP53-mutant xenografts with ML-162 suppressed tumor growth and increased lipid peroxidation in vivo. Testing ferroptosis inducers demonstrated TP53-missense mutant, and not TP53-null or wild-type cells, were more sensitive to ferroptosis, and expression of mutant TP53 genes in p53-null cells sensitized cells to ML-162 treatment.

conclusionsThis study demonstrates that TP53-mutant TNBC cells have unique survival pathways that can be effectively targeted. Our results illustrate the intrinsic vulnerability of TP53-mutant TNBCs to ferroptosis and highlight GPX4 as a potential target for the precision treatment of TP53-mutant TNBC.

Indexed as

Antineoplastic AgentsMutationPhospholipid Hydroperoxide Glutathione PeroxidaseTriple Negative Breast NeoplasmsTumor Suppressor Protein p53AnimalsCell Line, TumorDisease Models, AnimalFemaleFerroptosisHumansMiceXenograft Model Antitumor AssaysAntineoplastic AgentsPhospholipid Hydroperoxide Glutathione PeroxidaseTP53 protein, humanTumor Suppressor Protein p53FerroptosisGain-of-functionGPX4p53TNBCTP53

Identifiers

PMID41493644
PMCPMC12774971

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.