The past, present, and future of breast cancer models for nanomedicine development
Boix-Montesinos P., Soriano-Teruel PM., Armiñán A., Orzáez M., Vicent MJ.
Clinical Trial, published in Adv Drug Deliv Rev (2021) — summary generated from the PubMed abstract.
Several human studies show positive signals, while research methods and sample sizes continue to develop.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Clinical Trial
- Journal
- Adv Drug Deliv Rev (2021)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 33798642
- PMCID
- PMC8191594
- DOI
- 10.1016/j.addr.2021.03.018
- Citations
- 99
Abstract (original English)
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.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Several human studies show positive signals, while research methods and sample sizes continue to develop.
How we grade evidenceBrowse all related research
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