Evidence map›Paper›PMID 41170386›Full record

ReviewFrontiers in pharmacology2025

Iron, copper and disulfide dysregulation: molecular crossroads of metabolic cell death in melanoma progression.

Xinge Li, Yan Gao, Zhiyao Xing, Zichuan Liu, Xiangyang Zhang

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Xinge LiSchool of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.
Yan GaoSchool of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.
Zhiyao XingSchool of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.
Zichuan LiuSchool of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.
Xiangyang ZhangSchool of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is a highly aggressive malignant tumor arising from melanocytes, with its incidence and mortality rates continuously rising in recent years, posing a major global public health challenge. Although traditional targeted therapies and immune checkpoint inhibitors have significantly improved survival in some patients, primary and acquired resistance remain common, creating an urgent need for new treatment strategies. In recent years, metabolic cell death, ferroptosis, cuproptosis, and disulfidptosis, has shown unique advantages in melanoma research. Ferroptosis directly kills tumor cells through iron-mediated lipid peroxidation; cuproptosis relies on copper-induced mitochondrial protein aggregation to inhibit tumor proliferation; disulfidptosis arises from disulfide stress caused by glucose deprivation. This review provides a detailed analysis on the mechanisms and metabolic competition paradoxes of these three types of metabolic cell death and integrates key metabolic nodes, such as related genes SLC7A11, GPX4, FDX1, LIPT1, and PPIC. Furthermore, we discuss innovative treatment strategies that significantly enhance therapeutic efficacy and overcome resistance, including the combination of metabolic cell death with immune cell regulation, nanoparticle delivery, and sonodynamic/photodynamic therapies. Ferroptosis, cuproptosis, and disulfidptosis each possess distinct advantages and characteristics in the context of melanoma development, metastasis, and drug resistance. Leveraging both their common and unique mechanisms offers new perspectives for improving treatment outcomes.

Indexed as

cuproptosisdisulfidptosisferroptosismelanomamolecular interactions

Identifiers

PMID41170386
PMCPMC12568384

What OpenQuestion holds

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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.