Evidence map›Paper›PMID 38829261›Full record

ArticleACS applied materials & interfaces2024

Nanomedicine Targeting Cuproplasia in Cancer: Labile Copper Sequestration Using Polydopamine Particles Blocks Tumor Growth

Javier Bonet-Aleta, Miguel Encinas-Gimenez, Miku Oi, Aidan T Pezacki, Victor Sebastian, Alba de Martino, Ana Martín-Pardillos, Pilar Martin-Duque, Jose L Hueso, Christopher J Chang and 1 more

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Metal Ion Signaling in Biomedicine.Chemical reviews · 2025
    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

11 authors.

Javier Bonet-AletaInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.ORCID 0000-0002-1791-0188
Miguel Encinas-GimenezInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.
Miku OiDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0002-9448-2375
Aidan T PezackiDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0002-7321-462X
Victor SebastianInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.ORCID 0000-0002-6873-5244
Alba de MartinoInstituto Aragonés de Ciencias de la Salud (IACS), Instituto de Investigación Sanitaria Aragón (IIS-Aragón), Edificio CIBA. Avenida San Juan Bosco 13, planta 1, 50009 Zaragoza, Spain.
Ana Martín-PardillosInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.
Pilar Martin-DuqueInstituto de Investigación Sanitaria (IIS) de Aragón, Avenida San Juan Bosco, 13, 50009 Zaragoza, Spain.
Jose L HuesoInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.ORCID 0000-0002-4546-4111
Christopher J ChangDepartment of Chemistry, University of California, Berkeley, California 94720, United States.ORCID 0000-0001-5732-9497
Jesus SantamariaInstituto de Nanociencia y Materiales de Aragon (INMA) CSIC, Universidad de Zaragoza, Campus Rio Ebro, Edificio I+D, C/Poeta Mariano Esquillor, s/n, 50018 Zaragoza, Spain.ORCID 0000-0002-8701-9745

Funding

Molecular Imaging Probes To Study Redox BiologyR01GM079465 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Christopher J. Chang · 2006 to 2026
$7.8M
Chemical Probes to Study Methionine Redox BiologyR01GM139245 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Christopher J. Chang · 2020 to 2026
$2.9M
NIGMS NIH HHS R01 GM079465NIGMS NIH HHS R01 GM139245
6 · The paper itself

Abstract

Copper plays critical roles as a metal active site cofactor and metalloallosteric signal for enzymes involved in cell proliferation and metabolism, making it an attractive target for cancer therapy. In this study, we investigated the efficacy of polydopamine nanoparticles (PDA NPs), classically applied for metal removal from water, as a therapeutic strategy for depleting intracellular labile copper pools in triple-negative breast cancer models through the metal-chelating groups present on the PDA surface. By using the activity-based sensing probe FCP-1, we could track the PDA-induced labile copper depletion while leaving total copper levels unchanged and link it to the selective MDA-MB-231 cell death. Further mechanistic investigations revealed that PDA NPs increased reactive oxygen species (ROS) levels, potentially through the inactivation of superoxide dismutase 1 (SOD1), a copper-dependent antioxidant enzyme. Additionally, PDA NPs were found to interact with the mitochondrial membrane, resulting in an increase in the mitochondrial membrane potential, which may contribute to enhanced ROS production. We employed an

Indexed as

CopperIndolesNanoparticlesPolymersReactive Oxygen SpeciesTriple Negative Breast NeoplasmsAnimalsAntineoplastic AgentsCell Line, TumorCell ProliferationFemaleHomeostasisHumansMiceNanomedicineOxidation-ReductionAntineoplastic AgentsCopperIndolespolydopaminePolymersReactive Oxygen SpeciesSuperoxide Dismutase-1bioimagingcancer metabolismcopperlabile copperpolydopamine

Identifiers

PMID38829261
PMCPMC11181271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.