Evidence map›Paper›PMID 40637634›Full record

ArticleACS nano2025

A Multifaceted Nanodrug Disrupts the Copper-Iron Homeostasis to Enhance Cancer Radiotherapeutic Effect.

Yu Hua, Shichun Cao, Yu Yu, Chengzhen Chu, Ludi Yang, Shengfang Ge, Yefei Wang, Zhengwei You, Jie Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Hierarchical Targeting of TREM2Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. Review
  5. Article
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

9 authors.

Yu HuaState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.
Shichun CaoState Key Laboratory of Advanced Fibers Materials, College of Materials Science and Engineering, Institute of Functional Materials, Research Base of Textile Materials for Flexible Electronics and Biomedical Applications (China Textile Engineering Society), Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, Donghua University, Shanghai 201620, P. R. China.
Yu YuState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.
Chengzhen ChuState Key Laboratory of Advanced Fibers Materials, College of Materials Science and Engineering, Institute of Functional Materials, Research Base of Textile Materials for Flexible Electronics and Biomedical Applications (China Textile Engineering Society), Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, Donghua University, Shanghai 201620, P. R. China.
Ludi YangState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.
Shengfang GeState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.
Yefei WangState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.
Zhengwei YouState Key Laboratory of Advanced Fibers Materials, College of Materials Science and Engineering, Institute of Functional Materials, Research Base of Textile Materials for Flexible Electronics and Biomedical Applications (China Textile Engineering Society), Shanghai Engineering Research Center of Nano-Biomaterials and Regenerative Medicine, Donghua University, Shanghai 201620, P. R. China.ORCID 0000-0003-1038-1321
Jie YuState Key Laboratory of Eye Health, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation therapy (RT) is a core modality in cancer treatment; however, its efficacy is often limited by tumor resistance. Studies have shown that RT induces abnormal copper ion accumulation and iron reduction, thereby inhibiting ferroptosis and exacerbating therapeutic resistance. In this study, multiomics database analysis revealed that various RT-resistant cancer cell lines and patient-derived tumor models exhibit characteristics of disrupted copper homeostasis and enhanced copper ion-binding capacity. Hence, we have created a pH-responsive nanomicelle system based on dynamic iron-coordinated polyurethane (PCEF@Fe), utilizing a "copper chelation-iron delivery" synergistic strategy to reverse tumor metal metabolism abnormalities. This platform exploits the differential coordination properties of oxime-urethane ligands for copper/ferrous ions, triggering competitive metal exchange in the acidic tumor microenvironment: on one hand, the ligand captures Cu

Indexed as

Antineoplastic AgentsCopperIronNanoparticlesNeoplasmsAnimalsCell Line, TumorFerroptosisHomeostasisHumansMiceAntineoplastic AgentsCopperIroncancercopper homeostasisferroptosispolyurethaneradiation therapy

Identifiers

PMID40637634
PMCPMC12292317

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.