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Advanced Drug Delivery Reviews
Article . 2021 . Peer-reviewed
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Advanced Drug Delivery Reviews
Article
License: CC BY NC ND
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PubMed Central
Other literature type . 2021
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Article . 2021
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The past, present, and future of breast cancer models for nanomedicine development

Authors: Paz Boix-Montesinos; Paula M. Soriano-Teruel; Ana Armiñán; Mar Orzáez; María J. Vicent;

The past, present, and future of breast cancer models for nanomedicine development

Abstract

Even given recent advances in nanomedicine development of breast cancer treatment in recent years and promising results in pre-clinical models, cancer nanomedicines often fail at the clinical trial stage. Limitations of conventional in vitro models include the lack of representation of the stromal population, the absence of a three-dimensional (3D) structure, and a poor representation of inter-tumor and intra-tumor heterogeneity. Herein, we review those cell culture strategies that aim to overcome these limitations, including cell co-cultures, advanced 3D cell cultures, patient-derived cells, bioprinting, and microfluidics systems. The in vivo evaluation of nanomedicines must consider critical parameters that include the enhanced permeability and retention effect, the host's immune status, and the site of tumor implantation. Here, we critically discuss the advantages and limitations of current in vivo models and report how the improved selection and application of breast cancer models can improve the clinical translation of nanomedicines.

Keywords

Drug Carriers, Antineoplastic Agents, Breast Neoplasms, Pre-clinical models, Nanomedicines, Article, Metastasis, Animal models, Organoids, Patient-derived xenografts, Breast cancer, Drug Delivery Systems, Nanomedicine, Drug Development, Humans, Nanoparticles, Female, Biomarkers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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111
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20
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Cancer Research