Literature DB >> 29725407

The enhanced delivery of salinomycin to CD133+ ovarian cancer stem cells through CD133 antibody conjugation with poly(lactic-co-glycolic acid)-poly(ethylene glycol) nanoparticles.

Yi Mi1, Yuqin Huang1,2, Jie Deng1.   

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+ ovarian CSCs. The results revealed that CD133-SAL-NPs were of an appropriate size (149.2 nm) and exhibited sustained drug release. CD133-SAL-NPs efficiently bound to CD133+ ovarian cancer cells, resulting in an increased cytotoxic effect in CD133+ ovarian cancer cells, compared with the untargeted SAL-NPs and salinomycin. CD133-SAL-NPs reduced the percentage of CD133+ ovarian CSCs in ovarian cells more effectively than treatment with salinomycin or SAL-NPs, suggesting that CD133-SAL-NP targeted CD133+ ovarian CSCs. In nude mice bearing ovarian cancer xenografts, CD133-SAL-NPs exerted improved therapeutic effects compared with SAL-NPs and salinomycin. Thus, CD133 was demonstrated to be a promising target for drug delivery to ovarian CSCs, and may be useful as an agent to inhibit the growth of ovarian cancer by targeting CD133+ ovarian CSCs. CD133-SAL-NPs may therefore represent a promising approach for the treatment of ovarian cancer.

Entities:  

Keywords:  cancer stem cells; cluster of differentiation 133; nanomedicines; ovarian cancer; salinomycin

Year:  2018        PMID: 29725407      PMCID: PMC5920508          DOI: 10.3892/ol.2018.8140

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  29 in total

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