4.7 Review

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

Journal

ADVANCED DRUG DELIVERY REVIEWS
Volume 173, Issue -, Pages 306-330

Publisher

ELSEVIER
DOI: 10.1016/j.addr.2021.03.018

Keywords

Breast cancer; Metastasis; Pre-clinical models; Nanomedicines; Organoids; Patient-derived xenografts; Animal models; Biomarkers

Funding

  1. European Research Council [ERC-CoG-2014-648831]
  2. European Commission Program (EU-Openscreen-Drive) [SEP-210496506]
  3. Spanish Ministry of Science and Innovation (MCUI/AEI/FEDER, UE) [SAF2017-84689-R-B, PID2019-108806RB-I00, FPU18/00386]
  4. Centro de Investigacion Principe Felipe (CIPF)
  5. Generalitat Valenciana [PROMETEO/2019/065]

Ask authors/readers for more resources

Despite recent advancements in nanomedicine for breast cancer treatment and promising results in pre-clinical models, clinical trials often face challenges. Innovative cell culture strategies and consideration of critical parameters for in vivo evaluation are essential to improve the clinical translation efficiency of nanomedicines in breast cancer treatment.
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 intratumor 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. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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