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Dawidczyketal. Nanomedicines for cancer therapy
tumor accumulation, and biodistribution, there are numerous
problems in comparingpre-clinical studies. Inparticular, differ-
ences in cell line and tumor size, dose, lack of good pharma-
cokinetics data, anddifferences in reportingmakemeta-analysis
extremely difficult and are a limitation to progress in the
field (Table4). Similarly, physico-chemical properties of the
delivery system such as size, surface properties (i.e., pegyla-
tion), zeta potential, targeting ligand density, and stability in
blood or serum at physiological temperature are not uniformly
reported.
For example, results are usually reported as percent of initial
administered dose per gram of tumor (%ID/g), which is only
useful if the tumormass is also reported. For example, a tumor
accumulation of 10%ID/g is 10% of the initial dose for a 1g
Table4 |Summaryof limitations topre-clinical studiesof
nanomedicines thathinderbroadassessmentofdesignrules.
Problem Solution
Total tumoraccumulation (%ID) is
not always reported Report tumoraccumulationas%ID
(and%ID/g)
Inconsistent reportingof tumor
size/weight Report tumorsize/weight
Inconsistent reportingofdose Reportdoseas total numberof
nanoparticles injected
Alongwithotherparameterssuch
asdrug loading,drugconcentration
(and/ordrugamount), andactivity
ofdose (gammacounter)
Inconsistent reportingof
physico-chemical properties Report standardphysico-chemical
properties (e.g., size, zetapotential,
surfacecoating, stabilityunder
physiological conditions)
Tumoraccumulation reportedat
different timepoints Report tumoraccumulationat
standard timepoints (e.g., 1and
24hpost-injection).Detailed
pharmacokinetics (concentration in
bloodand tumor) atmultiple time
points ispreferred
Variation in tumorcharacteristics
(type, size, vascularization,etc.) Standardize tumor typeandsize
(e.g.,C26or4T1;1cmdiameter)
Moredifficult for active targeting
dependingon targetmolecule
Variation incontrolsused inactive
targeting Report control studies fordelivery
systemwithno targeting ligandand
anydifferences inphysico-chemical
properties.Reportother control
studiesasnecessary
Variation inanimalmodels (mouse,
rat, etc.) anddifferences indrug
concentrationcompared tohumans Usemousexenograftmodel for
initial pre-clinical studies
Differentdetectionmethodsused
toassess tumoraccumulation Performvalidationusingother
method(s) tumor but 1% of the initial dose for a 0.1g tumor. These dif-
ferences are significant in terms of the efficiency of delivery and
minimizingunwantedsideeffects innormal tissue. Insomecases
tumor characteristics such as tumor diameter or approximate
tumor volumeare reported, however, these parameters canonly
beusedtoestimate theabsolutepercentageof the initialdose.
Mousemodels arewidely used for research studies of disease
progression and the development of new therapies (Frese and
Tuveson, 2007). Rat and rabbitmodels are also commonly used
for pre-clinical studies. Standard tumormodels include subcu-
taneous xenografts of human cell lines or explants, orthotopic
xenografts, andgenetically engineeredmousemodels (Frese and
Tuveson,2007;Chenetal.,2012a).Whilethesemodelsareinvalu-
able forpre-clinical studies, differences inphysiology can lead to
differences in circulation and tumor accumulation compared to
humans(Steichenetal., 2012).
Xenografts represent a relatively straightforward model to
study thepharmacokinetics, tumoraccumulation, andbiodistri-
bution of a nanomedicine, however, tumor characteristics vary
considerablywith cell line and size (Harrington et al., 2000; Jain
and Stylianopoulos, 2010). The density and vascularization of
tumors of similar size can also vary significantly. Highly inva-
sive cell lines often formmore highly vascularized tumors, for
examplexenograftsofcoloncancercell lineshavevasculaturethat
ismuchmore leaky thanpancreatic cancer cell lines. Therefore,
tumoruptakeby theEPReffect is expected tobestronglydepen-
dent on the cell line used. Establishing a standard cell line
and tumor size for xenografts would greatly enhance compar-
ison of pre-clinical trials of delivery systems (Table4). While
this is feasible for passive delivery systems, active targeting often
requires theuseof specific cell lines thatoverexpress aparticular
biomarker.
Tumor accumulation is usually measured using a gamma
counter, positron emission tomography (PET), or inductively
coupledplasmamassspectroscopy(ICP-MS).Themethodsusing
a gamma counter or PET require that a suitable radiolabel
is conjugated to the drug delivery platform. With a gamma
counter, the radioactivity of the resected tumor ismeasured and
compared to the radioactivity of the dose. To determine the
tumor accumulation fromPET scans, reconstructed 3D regions
of interest are drawn around the tumor. The activity per unit
mass can then be determined after correcting for decay and
tissue density. An alternative to using a radiolabel to measure
the tumor accumulation is to use ICP-MS to determine the
amount of one or more elemental components in the deliv-
ery system and to compare to the initial dose. However, this
method requires a component of the delivery system to be dis-
tinguishable frombiologicalmatter. Inmost pre-clinical studies
only one of themethods is used to determine pharmacokinet-
ics and tumor accumulation andhence there is no independent
verification.
Tumoraccumulation is expected tobedependenton thedose
and time post-injection, and hence time-course studies at dif-
ferent doses are important for full characterization. In many
cases, tumoraccumulation isdeterminedonlyatoneor twotime
points therefore limiting analysis of thepharmacokineticswhich
iscrucial fordevelopingdesignrules.
Frontiers inChemistry | ChemicalEngineering August2014 |Volume2 |Article69 | 42
Cancer Nanotheranostics
What Have We Learnd So Far?
- Titel
- Cancer Nanotheranostics
- Untertitel
- What Have We Learnd So Far?
- Autoren
- João Conde
- Pedro Viana Baptista
- Jesús M. De La Fuente
- Furong Tian
- Herausgeber
- Frontiers in Chemistry
- Datum
- 2016
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-2-88919-776-7
- Abmessungen
- 21.0 x 27.7 cm
- Seiten
- 132
- Schlagwörter
- Nanomedicine, Nanoparticles, nanomaterials, Cancer, heranostics, Immunotherapy, bioimaging, Drug delivery, Gene Therapy, Phototherapy
- Kategorien
- Naturwissenschaften Chemie