Evidence map›Paper›PMID 42473554›Full record

ReviewInternational journal of nanomedicine2026

Nanozyme-Driven Ferroptosis-Cuproptosis Interplay in Lung Cancer.

Man Sun, Dan Zang, Jun Chen

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2026. 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

3 authors.

Man Sun *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Dan Zang *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Jun ChenDepartment of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is uniquely amenable to local administration and is characterized by sustained exposure to an oxygen-rich exchange environment and marked metabolic heterogeneity. These features make it a distinctive therapeutic setting for nanozyme-mediated induction of ferroptosis and cuproptosis, while simultaneously imposing more stringent requirements on delivery precision and safety control for therapies based on intense oxidative and metal-induced stress. From the organ-specific context of lung cancer, this review focuses on the catalytic design of nanozymes, strategies for localized pulmonary delivery, and the interplay between ferroptosis and cuproptosis, while evaluating their potential applications in metabolic reprogramming, tumor suppression, and immune sensitization. Current evidence suggests that iron- and copper-associated catalysis, multiple enzyme-mimetic activities, and cascade reactions can amplify lipid peroxidation, deplete reductive capacity, and exacerbate mitochondrial proteotoxic stress, thereby enhancing tumor cell killing. In certain systems, these effects are further accompanied by increased immunogenic cell death and activation of antitumor immunity. Nevertheless, the field is constrained less by a shortage of additional nanoplatforms than by the absence of clear and comparable criteria for defining cuproptosis, insufficient evidence supporting lung cancer-directed local delivery, and the lack of biomarker-guided patient stratification and rational combination strategies.

Indexed as

CuproptosisFerroptosisLung NeoplasmsAnimalsCatalysisCopperHumansIronCopperIroncuproptosisferroptosisimmune modulationlocal deliverylung cancernanozymes

Identifiers

PMID42473554
PMCPMC13380909

What Socratic 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 Socratic graph.