ArticleCancers2019
Multifunctional Albumin-Stabilized Gold Nanoclusters for the Reduction of Cancer Stem Cells.
Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 38 citations in OpenAlex.
- Protein-Based Nanomaterials for Cancer Therapy: A Comparative and Translational Perspective.Pharmaceutics · 2026Review
- Application of metal-based nanoparticles in targeted drug delivery to breast cancer stem cells.Discover nano · 2026Review
- Theranostic and Combined Approaches Exploiting Multifunctional Gold Nanoclusters in Tumoral Ecosystems: A Paradigm Shift in Precision Oncology.Current radiopharmaceuticals · 2024Review
- Nanomedical research and development in Spain: improving the treatment of diseases from the nanoscale.Frontiers in bioengineering and biotechnology · 2023Review
- Low serum albumin levels and high neutrophil counts are predictive of a poorer prognosis in patients with metastatic breast cancer.Oncology letters · 2022Article
- The Recent Development of Multifunctional Gold Nanoclusters in Tumor Theranostic and Combination Therapy.Pharmaceutics · 2022Review
- Dual-Functionalized Nanoliposomes Achieve a Synergistic Chemo-Phototherapeutic Effect.International journal of molecular sciences · 2022Article
- Article
- Gold Nanoclusters: Imaging, Therapy, and Theranostic Roles in Biomedical Applications.Bioconjugate chemistry · 2022Review
- Nano-drug delivery system for pancreatic cancer: A visualization and bibliometric analysis.Frontiers in pharmacology · 2022Article
- Nanoparticles for Targeted Drug Delivery to Cancer Stem Cells: A Review of Recent Advances.Nanomaterials (Basel, Switzerland) · 2021Review
- Post-Synthesis Modification of Photoluminescent and Electrochemiluminescent Au Nanoclusters with Dopamine.Nanomaterials (Basel, Switzerland) · 2020Article
- Gefitinib loaded nanostructured lipid carriers: characterization, evaluation and anti-human colon cancer activityDrug delivery · 2020Article
- Cancer Nanomedicine.Cancers · 2020Article
- Opsonins and Dysopsonins of Nanoparticles: Facts, Concepts, and Methodological Guidelines.Frontiers in immunology · 2020Review
- Gold Nanoclusters as an Antibacterial Alternative AgainstInternational journal of nanomedicine · 2020Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Controlled delivery of multiple chemotherapeutics can improve the effectiveness of treatments and reduce side effects and relapses. Here in, we used albumin-stabilized gold nanoclusters modified with doxorubicin and SN38 (AuNCs-DS) as combined therapy for cancer. The chemotherapeutics are conjugated to the nanostructures using linkers that release them when exposed to different internal stimuli (Glutathione and pH). This system has shown potent antitumor activity against breast and pancreatic cancer cells. Our studies indicate that the antineoplastic activity observed may be related to the reinforced DNA damage generated by the combination of the drugs. Moreover, this system presented antineoplastic activity against mammospheres, a culturing model for cancer stem cells, leading to an efficient reduction of the number of oncospheres and their size. In summary, the nanostructures reported here are promising carriers for combination therapy against cancer and particularly to cancer stem cells.
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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.