Synopsis
In this educational imaging-facilitated optimization of
nanomedicine and the “companion diagnostic" concept, the latest advances in these
fields, and translational considerations will be discussed.A way to overcome a drug’s side effects is by its more
efficient delivery to diseased sites. This can be accomplished by
nanoparticles, tiny carrier vehicles that can be loaded with drugs, known as
nano medicines (1,2). The most matured and widely
applied nanoparticle delivery systems are polyethylene glycol (PEG) coated
liposomes (3). These bilayered vesicles of
phospholipids used for drug delivery typically measure ~100 nm in diameter.
Doxil, a liposomal formulation of doxorubicin, was the first nanoparticle drug
formulation to be approved for clinical use. Since Doxil’s introduction in
1995, the nanomedicine field has undergone exceptional growth, which is
exemplified by the increasing number of papers published and by the
implementation of large federal programs that fund nanomedicine research.
Whereas Doxil represents a first generation nanomedicine,
the current focus is on controlled releases systems whose sizes and
compositions can be judiciously fine-tuned. Such self-assembled nanoparticles are widely
used as delivery vehicles for poorly water-soluble compounds, and some of these
have entered clinical trials. The majority of these self-assembled structures
have problems with drug loading stability, which is strongly influenced by the in vivo environment. Interactions
between polymeric nanoparticles and blood components have been reported to
cause drug leakage. Therefore, thoroughly understanding in vivo drug-carrier association stability and dissociation
kinetics should improve delivery efficiency and, as a result, therapeutic
efficacy. Imaging techniques, including MRI, can monitor the drug-carrier
association and help identify key parameters that determine drug-carrier
compatibility. These findings can serve as drug delivery efficiency guidelines
that can be applied to improve nanomedicines.
Despite nanomedicine’s promise and the field’s research
activity, its potential is not being fully met and implementation in clinical
care is falling behind. In part this is due to the technology’s immaturity, but
– more importantly – ways to stratify patients that may benefit from
nanomedicine-based therapy are nonexistent.
The ability to non-invasively evaluate nanomedicine
targeting would greatly improve patient care by allowing swift adjustments in
dosage and/or treatment regimen. Strategies in which nanoparticle drug
formulations are labeled for imaging-facilitated delivery are extensively
studied (4,5). Unfortunately, such
theranostic approaches have little clinical relevance. As has been shown for antibody therapy, an easy-to-prepare companion
diagnostic for quantitative imaging of nanomedicines can overcome these issues.
Practically, the companion diagnostic could be applied to screen for patient
amenability, but could also be used as an agent that is co-injected with the actual
nanotherapy to aid in treatment continuation decision. In this educational imaging-facilitated
optimization of nanomedicine and the “companion diagnostic" concept, the latest
advances in these fields, and translational considerations will be discussed.
Acknowledgements
No acknowledgement found.References
1. Lammers, T., Rizzo, L. Y., Storm, G. & Kiessling, F. Personalized nanomedicine. Clin. Cancer Res. 18, 4889–94 (2012).
2. Farokhzad, O. C. & Langer, R. Impact of nanotechnology on drug delivery. ACS Nano 3, 16–20 (2009).
3. Torchilin, V. P. Recent advances with liposomes as pharmaceutical carriers. Nat Rev Drug Discov 4, 145–160 (2005).
4. Lammers, T., Aime, S., Hennink, W. E., Storm, G. & Kiessling, F. Theranostic nanomedicine. Acc. Chem. Res. 44, 1029–38 (2011).
5. Mulder, W. J. M. et al. Nanoparticulate assemblies of amphiphiles and diagnostically active materials for multimodality imaging. Acc. Chem. Res. 42, 904–14 (2009).