ArticleOncology letters2018
The enhanced delivery of salinomycin to CD133
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Antibody-Functionalized Nanoformulations for Targeted Therapy of Colorectal Cancer: A Systematic Review.International journal of nanomedicine · 2022Pooled it
- Role of CD133 antibody-conjugated nanocarrier in enhancing the targetability of hepatocellular carcinoma stem cells.Scientific reports · 2025Article
- Mesothelin-based CAR-T cells exhibit potent antitumor activity against ovarian cancer.Journal of translational medicine · 2024Article
- The Role of Cancer Stem Cell Markers in Ovarian Cancer.Cancers · 2023Review
- Deciphering Common Traits of Breast and Ovarian Cancer Stem Cells and Possible Therapeutic Approaches.International journal of molecular sciences · 2023Review
- Targeting ovarian cancer stem cells: a new way out.Stem cell research & therapy · 2023Review
- "DEPHENCE" system-a novel regimen of therapy that is urgently needed in the high-grade serous ovarian cancer-a focus on anti-cancer stem cell and anti-tumor microenvironment targeted therapies.Frontiers in oncology · 2023Review
- Salinomycin as a potent anticancer stem cell agent: State of the art and future directions.Medicinal research reviews · 2022Review
- Versatile and Robust Method for Antibody Conjugation to Nanoparticles with High Targeting Efficiency.Pharmaceutics · 2021Article
- Salinomycin-Based Drug Delivery Systems: Overcoming the Hurdles in Cancer Therapy.Pharmaceutics · 2021Review
- Nanoparticles for Targeted Drug Delivery to Cancer Stem Cells: A Review of Recent Advances.Nanomaterials (Basel, Switzerland) · 2021Review
- Optimization of post-insertion method to conjugate Doxil with anti-CD133 monoclonal antibodies: Investigating the specific binding and cytotoxicity to colorectal cancer cellsSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2020Article
- Salinomycin-loaded PLA nanoparticles: drug quantification by GPC and wave voltammetry and biological studies on osteosarcoma cancer stem cells.Analytical and bioanalytical chemistry · 2020Article
- Exploiting Current Understanding of Hypoxia Mediated Tumour Progression for Nanotherapeutic Development.Cancers · 2019Review
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer is the most lethal gynecologic malignancy, and ovarian cancer stem cells (CSCs) serve a pivotal function in the metastasis and recurrence of ovarian cancer. Multiple previous studies have validated CD133 as a marker of ovarian CSCs. Although salinomycin is a promising therapeutic agent that has been demonstrated to kill CSCs in various types of cancer, poor aqueous solubility hampers its clinical application. The present study used salinomycin-loaded poly(lactic-co-glycolic acid)-poly(ethylene glycol) nanoparticles conjugated with CD133 antibodies (CD133-SAL-NP) to eliminate CD133
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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.