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Targeting Cancer Stem Cells with Nanoparticle-Enabled Therapies.

ABSTRACT: Emerging evidence suggests that multiple tumor types are sustained by a small population of transformed stem-like cells that have the ability to both self-renew and give rise to non-tumorigenic daughter cells that constitute the bulk of a tumor. These cells, which generally constitute a minority of the overall cancer cell population, are highly resistant to conventional therapies and persist following treatment, leading to disease relapse and the formation of distant metastases. Therapies that disrupt the maintenance and survival of cancer stem cells are the subject of active current investigation. This review discusses recent approaches to the application of nanomedicine to the targeting and elimination of cancer stem cells. Specifically, recent publications in the areas of nanoparticle-enabled drug and nucleic acid delivery and photothermal therapy are addressed.

SUBMITTER: Burke AR

PROVIDER: S-EPMC3875221 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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Targeting Cancer Stem Cells with Nanoparticle-Enabled Therapies.

Burke Andrew R AR Singh Ravi N RN Carroll David L DL Torti Frank M FM Torti Suzy V SV

Journal of molecular biomarkers & diagnosis 20120701

Emerging evidence suggests that multiple tumor types are sustained by a small population of transformed stem-like cells that have the ability to both self-renew and give rise to non-tumorigenic daughter cells that constitute the bulk of a tumor. These cells, which generally constitute a minority of the overall cancer cell population, are highly resistant to conventional therapies and persist following treatment, leading to disease relapse and the formation of distant metastases. Therapies that d ...[more]

PMID: 24383043

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Project description:Rationale: Cancer stem cells (CSCs) have been implicated as the seeds of therapeutic resistance and metastasis, due to their unique abilities of self-renew, wide differentiation potentials and resistance to most conventional therapies. It is a proactive strategy for cancer therapy to eradicate CSCs. Methods: Tumor tissue-derived breast CSCs (BCSC), including XM322 and XM607, were isolated by fluorescence-activated cell sorting (FACS); while cell line-derived BCSC, including MDA-MB-231.SC and MCF-7.SC, were purified by magnetic-activated cell sorting (MACS). Analyses of microRNA and mRNA expression array profiles were performed in multiple breast cell lines. The mentioned nanoparticles were constructed following the standard molecular cloning protocol. Tissue microarray analysis has been used to study 217 cases of clinical breast cancer specimens. Results: Here, we have successfully established four long-term maintenance BCSC that retain their tumor-initiating biological properties. Our analyses of microarray and qRT-PCR explored that miR-34a is the most pronounced microRNA for investigation of BCSC. We establish hTERT promoter-driven VISA delivery of miR-34a (TV-miR-34a) plasmid that can induce high throughput of miR-34a expression in BCSC. TV-miR-34a significantly inhibited the tumor-initiating properties of long-term-cultured BCSC in vitro and reduced the proliferation of BCSC in vivo by an efficient and safe way. TV-miR-34a synergizes with docetaxel, a standard therapy for invasive breast cancer, to act as a BCSC inhibitor. Further mechanistic investigation indicates that TV-miR-34a directly prevents C22ORF28 accumulation, which abrogates clonogenicity and tumor growth and correlates with low miR-34 and high C22ORF28 levels in breast cancer patients. Conclusion: Taken together, we generated four long-term maintenance BCSC derived from either clinical specimens or cell lines, which would be greatly beneficial to the research progress in breast cancer patients. We further developed the non-viral TV-miR-34a plasmid, which has a great potential to be applied as a clinical application for breast cancer therapy.

Dataset Information

Targeting Cancer Stem Cells with Nanoparticle-Enabled Therapies.

Publications

Targeting Cancer Stem Cells with Nanoparticle-Enabled Therapies.

Similar Datasets

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