ReviewCellular oncology (Dordrecht, Netherlands)2026
The cross-talk and interplay between ferroptosis and cuproptosis in tumor and therapeutics.
Review in Cellular oncology (Dordrecht, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Artesunate in Ferroptosis and Cuproptosis Regulation: Context-Dependent Mechanisms, Interplay, and Therapeutic Implications.International journal of molecular sciences · 2026Review
- Copper Metabolism-Related Cell Death in Kidney Diseases: Molecular Mechanisms, Disease-Specific Evidence, and Translational Implications.International journal of molecular sciences · 2026Review
- Copper homeostasis and cuproptosis rewire the tumor microenvironment: mechanisms, immune modulation, and therapeutic opportunities.Journal of hematology & oncology · 2026Review
- Heteronemin suppresses chemoresistant oral squamous cell carcinoma cells through ROS-mediated apoptosis and cuproptosis-associated mitochondrial stress.Apoptosis : an international journal on programmed cell death · 2026Article
- Unraveling the Crosstalk Between Ferroptosis and Cuproptosis for Rational Nanomedicine Design in Cancer.International journal of nanomedicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Ferroptosis and cuproptosis are two recently discovered forms of programmed cell death. Both forms of cell death are regulated by distinct yet interconnected pathways, and their roles in tumor progression and therapy response have gained much concern and are highly anticipated. Both involve alterations in cellular metabolism. Oxidative stress plays a crucial part in both processes. Ferroptosis mainly involves the peroxidation of cell membrane lipid components, while cuproptosis is more related to mitochondrial dysfunction and the stability of iron sulfur cluster proteins. Moreover, ferroptosis is usually related to iron and antioxidant capacity, while cuproptosis focuses more on the imbalance of copper homeostasis and its impact on organelles. The increase in reactive oxygen species can trigger DNA damage and other cellular stresses that impact tumor development and response to treatment. In ferroptosis, iron catalyzes the Fenton reaction, generating hydroxyl radicals that cause oxidative damage. Copper metabolism also intersects with iron metabolism. For example, copper chaperones such as copper chaperone for superoxide dismutase regulate intracellular copper levels and indirectly affect iron handling. Crosstalk between ferroptosis and cuproptosis involves diverse signaling pathways. In this review, we recapitulate the way these two sorts of programmed cell death interact, providing insights into mechanisms of therapeutic resistance. Targeting both pathways simultaneously or sequentially may well surmount resistance and boost treatment efficacy. In summary, the shared mechanisms and interplay between ferroptosis and cuproptosis offer exciting opportunities for enhancing our knowledge of tumor biology and improving cancer treatment paradigms. Continued research in this area promises to uncover new targets and strategies for treatment of cancer.
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Registered trials
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.