ArticleJournal of nanobiotechnology2021
A self-amplified nanocatalytic system for achieving "1 + 1 + 1 > 3" chemodynamic therapy on triple negative breast cancer.
Article in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed, 22 citations in OpenAlex.
- X-ray stimulates NQO1-dependent cascade reactions to induce strong immunogenicity for MRI-guided cancer radio-chemodynamic-immunotherapy.Theranostics · 2025Article
- pH/GSH dual-responsive nanoparticle for auto-amplified tumor therapy of breast cancer.Journal of nanobiotechnology · 2024Article
- Manganese-based nanomaterials in diagnostics and chemodynamic therapy of cancers: new development.RSC advances · 2024Review
- Layer-by-Layer Nanoparticles for Calcium Overload in situ Enhanced Reactive Oxygen Oncotherapy.International journal of nanomedicine · 2024Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundChemodynamic therapy (CDT), employing Fenton or Fenton-like catalysts to convert hydrogen peroxide (H
resultsThe effective inhibition of PARP by Ola can synergize Lapa to enhance H
conclusionsThis design of nanocatalytic system offers a new paradigm for combing PARP inhibitor, NQO1-bioactivatable drug and Fenton-reagents to obtain sustained H
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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.