Evidence map›Paper›PMID 42213191›Full record

ReviewApoptosis : an international journal on programmed cell death2026

Metabolic regulation of ferroptosis in cancer: mechanisms, pharmacological inducers, and translational challenges.

Yanfang Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Apoptosis : an international journal on programmed cell death, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Yanfang LiuDepartment of Oncology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410021, China. liuyf2020@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to traditional apoptosis remains a central obstacle in oncology, especially in tumors that survive chemotherapy, targeted therapy, or immune pressure by acquiring metabolic plasticity. Ferroptosis, a non-apoptotic form of regulated cell death driven by iron-dependent lipid peroxidation, offers a mechanistically distinct opportunity to eliminate these refractory malignant states. In this review, we organize the field around three metabolic layers that govern ferroptosis in cancer: mobilizable iron pools and Fenton chemistry, lipid remodeling and membrane oxidation, and the dynamic balance between reactive oxygen species generation and antioxidant buffering. Rather than treating ferroptosis as a universal opportunity across all tumors, we emphasize how these layers create context-dependent liabilities in therapy-resistant disease. We then connect these layers to clinically relevant tumor contexts, including drug-tolerant persister cells, hypoxic solid tumors, and antioxidant-addicted cancer populations. Particular emphasis is placed on why lysosomal iron activation, lipid-droplet buffering, GSH/GPX4/FSP1 plasticity, medicinal chemistry, and nanomedicine-enabled delivery now represent major turning points in the field. By integrating mechanistic depth with translational challenges such as biomarker selection, intratumoral drug delivery, tumor-state heterogeneity, and therapeutic-window control, this review provides a cancer-therapy-oriented framework for the precision deployment of ferroptosis rather than a purely descriptive summary of ferroptosis biology.

Indexed as

FerroptosisNeoplasmsAnimalsAntineoplastic AgentsAntioxidantsDrug Resistance, NeoplasmHumansIronLipid PeroxidationReactive Oxygen SpeciesAntineoplastic AgentsAntioxidantsIronReactive Oxygen SpeciesCancer therapyDrug resistanceFerroptosisIron metabolismNanomedicine

Identifiers

PMID42213191

What Socratic holds

Textmetadata
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 Socratic graph.