Lilianne Beola1,2, Valeria Grazú1,3, Yilian Fernández-Afonso1,2, Raluca M Fratila1,3, Marcelo de Las Heras4, Jesús M de la Fuente1,3, Lucía Gutiérrez1,2,3, Laura Asín1,3. 1. Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50018 Zaragoza, Spain. 2. Department of Analytical Chemistry, Universidad de Zaragoza, 50018 Zaragoza, Spain. 3. Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 50018 Zaragoza, Spain. 4. Department of Animal Pathology, Universidad de Zaragoza, 50009 Zaragoza, Spain.
Abstract
Magnetic hyperthermia (MH) was used to treat a murine model of pancreatic cancer. This type of cancer is generally characterized by the presence of dense stroma that acts as a barrier for chemotherapeutic treatments. Several alternating magnetic field (AMF) conditions were evaluated using three-dimensional (3D) cell culture models loaded with magnetic nanoparticles (MNPs) to determine which conditions were producing a strong effect on the cell viability. Once the optimal AMF conditions were selected, in vivo experiments were carried out using similar frequency and field amplitude parameters. A marker of the immune response activation, calreticulin (CALR), was evaluated in cells from a xenograft tumor model after the MH treatment. Moreover, the distribution of nanoparticles within the tumor tissue was assessed by histological analysis of tumor sections, observing that the exposure to the alternating magnetic field resulted in the migration of particles toward the inner parts of the tumor. Finally, a relationship between an inadequate body biodistribution of the particles after their intratumoral injection and a significant decrease in the effectiveness of the MH treatment was found. Animals in which most of the particles remained in the tumor area after injection showed higher reductions in the tumor volume growth in comparison with those animals in which part of the particles were found also in the liver and spleen. Therefore, our results point out several factors that should be considered to improve the treatment effectiveness of pancreatic cancer by magnetic hyperthermia.
Magnetic hyperthermia (MH) was used to treat a murine model of pancreatic cancer. This type of cancer is generally characterized by the presence of dense stroma that acts as a barrier for chemotherapeutic treatments. Several alternating magnetic field (AMF) conditions were evaluated using three-dimensional (3D) cell culture models loaded with magnetic nanoparticles (MNPs) to determine which conditions were producing a strong effect on the cell viability. Once the optimal AMF conditions were selected, in vivo experiments were carried out using similar frequency and field amplitude parameters. A marker of the immune response activation, calreticulin (CALR), was evaluated in cells from a xenograft tumor model after the MH treatment. Moreover, the distribution of nanoparticles within the tumor tissue was assessed by histological analysis of tumor sections, observing that the exposure to the alternating magnetic field resulted in the migration of particles toward the inner parts of the tumor. Finally, a relationship between an inadequate body biodistribution of the particles after their intratumoral injection and a significant decrease in the effectiveness of the MH treatment was found. Animals in which most of the particles remained in the tumor area after injection showed higher reductions in the tumor volume growth in comparison with those animals in which part of the particles were found also in the liver and spleen. Therefore, our results point out several factors that should be considered to improve the treatment effectiveness of pancreatic cancer by magnetic hyperthermia.
Entities:
Keywords:
biodistribution; immunological effect; intratumor administration; iron oxide magnetic nanoparticles; magnetic hyperthermia; pancreatic cancer
Pancreatic ductal adenocarcinoma
(PDAC), the most frequent type
of pancreatic cancer, is characterized by the generalized presence
of extremely dense stroma. This stroma is responsible for the increased
rigidity of these tumors[1] and acts as a
barrier against chemotherapeutic drugs, not only decreasing their
effectiveness but also impairing infiltration of antitumor immune
cells.[2] This, among other factors, is one
of the reasons for the bad prognosis of this type of cancer, with
average 5-year-survival rates of 10%. Therefore, new therapeutic strategies
for the treatment of this disease, which trigger both the selective
death of tumor cells and tackle the disruption of stromal components,
are urgently needed. In fact, several clinical trials have recently
focused on the tumor–stroma interactions as an alternative
therapeutic approach for this type of tumors.[3]Over the past few decades, nanotechnology has been extensively
exploited in the quest for new and advanced tools for diagnosis and
therapy of diseases. Different types of nanomaterials have been proposed
as biosensors, as contrast agents for different imaging techniques,
or as nanocarriers able to improve the efficacy, long-term stability,
and biodistribution of drugs.[4] In the frame
of pancreatic cancer, several nanoparticle-based strategies have been
investigated for the development of new diagnostic and therapeutic
platforms, with some of them showing potential for the modulation
of the PDAC microenvironment. Most of the proposed strategies have
focused on the design of complex drug delivery systems, combining
in the same nanoplatform several therapeutic agents to promote either
tumor cell death or stroma disruption.[5]Our treatment proposal is a single nanomaterial, iron oxide
magnetic
nanoparticles, with a dual role: having the capacity of changing the
stroma permeability and provoking tumor cell death when an alternating
magnetic field (AMF) is remotely applied.[6] Our previous work using three-dimensional (3D) cell culture models
composed of collagen, which is the main component of the extracellular
matrix, showed that the heat produced by iron oxide magnetic nanoparticles
(MNPs) was able to produce cell death, triggered by intracellular
nanoscale hotspots, and also improve the permeability of the collagen,
acting as an extracellular matrix disruptor allowing the penetration
of the nanoparticles toward the inner part of the 3D structure.[6] As mentioned before, the capacity of disrupting
the extracellular matrix is especially relevant in the frame of PDAC,
in which the stroma can account for up to 80% of the tumor volume,
acting as a biological barrier against anti-PDAC treatments and therefore
reducing their effectiveness.The proposed therapeutic approach
for achieving the above-mentioned
effects is nanoparticle-based magnetic hyperthermia (MH). In this
kind of therapeutic treatment, magnetic nanoparticles are able to
convert energy absorbed from an external alternating magnetic field
(AMF) into local heat. This treatment had been proposed either as
a standalone method or in combination with other treatments.[7] In fact, the European Medical Agency approved
MH treatment for clinical practice, after the success of trials for
glioblastoma (Berlin, Charité Hospital, 2003–2005).
This treatment was also approved as an adjuvant therapy for recurrent
glioblastoma in combination with radiotherapy in 2012.[8] Currently, the company MagForce is undertaking clinical
trials in the United States to validate its use also for prostate
cancer.[9] Despite these advances, researchers
working in the field of magnetic hyperthermia for cancer treatment
still face several challenges and practical problems such as the difficulty
in achieving enough magnetic material in the tumors after intravenous
administration or the heterogeneous distribution of the particles
in the whole tumor volume even after intratumoral injection.[10] In addition, there are still many knowledge
gaps in the frame of in vivo MH applications, such
as the cytotoxicity mechanisms triggered directly by the heat or the
immune response activation stimulated by the treatment.In the
specific case of pancreatic tumors, some in vitro and in vivo studies had addressed the use of MH
to treat this challenging tumor.[11−15] The novelty of this work is that we focused on three
different aspects of PDAC treatment using magnetic hyperthermia that
we thought should be considered with regard to clinical practice:
(i) the selection of the AMF conditions using 3D in vitro models, which mimic more properly the cellular environment than
two-dimensional (2D) ones; (ii) the evaluation of the possible immune
response to the treatment; and (iii) the impact of undesired leakage
of MNPs from the tumor on the treatment effectiveness. The reasons
for focusing on these three aspects are more thoroughly described
below.First, it was shown that the aggregation[16] or alignment[17] of particles
within cells
has a strong impact on their heating properties. This means that,
although it is possible to easily characterize the heating properties
of an MNP suspension in water, the real heating properties inside
the cells will still be a difficult value to estimate. This problem
becomes even more complex considering that it is hard to estimate
the local MNP concentration inside the cells and that, moreover, the
changes in the heating properties with the particle concentration
are not linear.[18] Therefore, it is difficult
to predict how efficient will be the heat produced by the MNPs in vivo. Thus, using in vitro models, and
in particular 3D cell cultures, is a good approach to produce a relatively
high number of replicas to perform MH tests, reducing the number of
animals needed. In this work, we used 3D cell models to test several
AMF conditions and evaluate which one was producing a stronger effect
on the cells before going to in vivo experiments.Second, the antitumor immune response is a key factor in the effectiveness
of cancer treatments but had been largely ignored in the analysis
of the response to MH treatments. Gaining knowledge on how MH treatment
could affect the immune system response would allow taking advantage
of natural defense mechanisms against tumors. One of the events that
could be evaluated to assess the response of the immune system to
a treatment is the presence of damage-associated molecular patterns
(DAMPs) in the treated cells.[19] One of
the several DAMPs that could be analyzed is the expression in the
cell surface of calreticulin (CALR), which occurs early in the course
of immunogenic cell death (ICD).[20] In general,
DAMPs bind to pattern recognition receptors (PRRs) in the immune cells,
leading to the activation of both innate and adaptive immune responses.
Stimulating the immune system with MH treatment would lead to very
important advantages, such as generating a systemic antitumor reaction
that could act in metastatic situations.[21] This would be especially relevant for PDAC, which metastasizes frequently
to the liver.[22] Furthermore, activation
of the immune responses would also trigger an immune memory effect
that could prevent patients from relapses.[23]Third, it was reported that one of the main problems when
administering
MNPs intravenously to perform any treatment was that the amount of
material that reaches the desired location is very low (less than
1%).[24] This is the reason why the majority
of the studies of hyperthermia in vivo used the direct
injection of the magnetic material at the tumor site as the main route
of administration,[25] as this procedure
ensured that a high concentration of the MNPs remained in the desired
site. However, to date, little attention has been paid to the number
of particles that remain in the tumor after intratumoral administration
and the possible impact that a particle leakage to other organs may
have on the treatment effectiveness.In this work, these important
parameters related to the antitumor
effectiveness of MH for pancreatic cancer treatment both in
vitro and in vivo were evaluated. First,
several field conditions were tested in 3D cell culture models, using
a pancreatic tumor cell line (MIA PaCa-2) and collagen, to select
the field amplitude and frequency that resulted in the strongest response
to treatment. Our previous works, studying the increase of MNP internalization
due to AMF exposure and also the death pathway triggered depending
on the MNP dose,[6,26] were performed using a macrophage
cell line, known for its high MNP internalization capability. Therefore,
to evaluate the feasibility of using MH for PDAC treatment, a pancreatic
tumor cell line was needed to optimize the AMF conditions. Then, the
MH treatment was tested in a heterotopic xenograft mouse model after
intratumoral administration of the magnetic nanoparticles. The expression
of calreticulin, a marker of immune response activation, was measured
in tumor cells after in vivo application of MH treatment,
paying special attention to differences between cells that had or
had not internalized particles. The tumor volumes were measured repeatedly
over a month until the mice were sacrificed to evaluate the in vivo effectiveness of the therapy. In addition, the penetration
of the MNPs toward the inner parts of the tumors after AMF exposure
was measured by histological assessment of tumor sections. As differences
in the tumor growth were found between animals that received the whole
treatment (MNPs + AMF application), the impact of MNP leakage to other
organs, in particular, the liver and the spleen, on treatment effectiveness
was evaluated through particle quantification from tissue alternating
current (AC) magnetic susceptibility measurements. The evaluation
of these key factors showed that they have a strong impact on the
final antitumor effectiveness of MH and thus should be considered
while searching for optimal treatment schemes for pancreatic cancer
using this therapeutic approach.
Results and Discussion
Magnetic nanoparticles from the same synthetic batch as in our
previous works were used in this study.[6,26] Briefly, oleic
acid-coated 11.3 ± 0.2 nm spherical iron oxide nanoparticles
(Figure S1 from the Supporting Information)
were synthesized by thermal decomposition and stored in hexane. The
magnetic cores were then coated with poly(maleic anhydride-alt-1-octadecene)
(PMAO) modified with a fluorophore (TAMRA, carboxytetramethylrhodamine),
to allow stabilizing them in water and tracking them in vitro and in vivo. Finally, the PMAO-coated particles
were functionalized with glucose to produce the final material used
in this work. This functionalization step was carried out to prevent
aggregation in complex biological media and improve the particle uptake
by the cells.[27] The specific absorption
rate (SAR) value for these particles was 104 W/g Fe, (measured at H = 20 kA/m and f = 829 kHz, using [Fe]
= 1 mg/mL). Their ζ-potential in water was −8.3 ±
1.0 mV, and the hydrodynamic size, from dynamic light-scattering measurements,
was 85 ± 7 nm (Figure S1 from the
Supporting Information).
Development of Two 3D Cell Culture Models
As in our
previous works,[6,26] we prepared two different 3D
cell culture models mimicking different in vivo scenarios
of MNP internalization. We called the first model “In Model”.
In this model, cells seeded in 24-well culture plates were incubated
with the MNPs for 24 h; after this time, the cells were washed to
remove the unbound MNPs and then used to form the 3D collagen gel.
This procedure resulted in a high percentage of MNP-loaded cells,
as shown by flow cytometry (FC) (68.5 ± 2.6%, Figure B). In this model, as expected,
a high number of internalized particles was achieved and no extracellular
MNPs were found in the collagen matrix, as was verified with fluorescence
microscopy (Figure A). The second model, named “In&Out Model”, consisted
of a collagen gel, where the cells were previously embedded and that
was subsequently incubated with MNPs for 24 h. This second model was
chosen as it mimics better the real situation that may occur in the
tissues with particles being located both inside and outside the cells.
In this model, a lower number of MNP-loaded cells was found (28.5
± 4.5%, Figure E) in comparison with the other model. In addition, MNPs were still
found in the collagen matrix outside the cells (Figure D). Although the percentage of cells that
internalized MNPs in both cases was very different (with the number
of cells with internalized MNPs being much higher in the In Model
than in the In&Out one), the average amount of MNPs internalized
per cell was very similar. This could be inferred by the values of
median fluorescence intensity (MFI) of both positive populations (10.2
± 0.8 and 10.4 ± 1.2 au for In Model and In&Out Model,
respectively) pointing out to a similar internalization capability
of the cells regardless of whether they were preloaded with MNPs in
a 2D culture or not before being entrapped in the collagen matrix.
We had previously shown that the procedure used to load the 3D gel
with MNPs in the In&Out Model yielded a heterogeneous distribution
of the particles within its structure, where most of the particles
were located in the outer areas of the 3D structure.[6] The difficulty of the MNPs to reach the inner parts of
the 3D structure in this model was the reason for the lower number
of cells that were able to internalize the MNPs, when compared to
the In Model.
Figure 1
3D cell culture model characterization: In Model (left)
and In&Out
Model (right). (A, D) Confocal microscopy images. Red, MNPs (TAMRA);
blue, 4′,6-diamidino-2-phenylindole (DAPI; nucleus); green:
Alexa Fluor 488 Phalloidin. Scale bar is 10 μm. (B, E) Flow
cytometry analysis of nanoparticle uptake. A representative histogram
from three independent experiments is shown in the figure; in green
is the cell population with no particles and in red is the cell population
that contained internalized particles. (C, F) MNP uptake before and
after exposure to different AMF conditions (AMF 1: 110 kHz; 31.9 kA/m.
AMF 2: 377 kHz; 13 kA/m. AMF 3: 228 kHz; 23.9 kA/m) measured as a
percentage of cells with MNPs and the changes in the MFI obtained
from flow cytometry data. Statistical differences were determined
using a two-way analysis of variance (ANOVA) followed by Sidak’s
multiple comparisons test (**p < 0.01; *p < 0.05; p > 0.05 no significance).
3D cell culture model characterization: In Model (left)
and In&Out
Model (right). (A, D) Confocal microscopy images. Red, MNPs (TAMRA);
blue, 4′,6-diamidino-2-phenylindole (DAPI; nucleus); green:
Alexa Fluor 488 Phalloidin. Scale bar is 10 μm. (B, E) Flow
cytometry analysis of nanoparticle uptake. A representative histogram
from three independent experiments is shown in the figure; in green
is the cell population with no particles and in red is the cell population
that contained internalized particles. (C, F) MNP uptake before and
after exposure to different AMF conditions (AMF 1: 110 kHz; 31.9 kA/m.
AMF 2: 377 kHz; 13 kA/m. AMF 3: 228 kHz; 23.9 kA/m) measured as a
percentage of cells with MNPs and the changes in the MFI obtained
from flow cytometry data. Statistical differences were determined
using a two-way analysis of variance (ANOVA) followed by Sidak’s
multiple comparisons test (**p < 0.01; *p < 0.05; p > 0.05 no significance).In previous experiments made with macrophages,
we also observed
that extracellular MNPs in the In&Out Model diffuse with time
to the inner part of the structure.[6] This
migration was faster if the 3D cell cultures were exposed to an AMF,
probably because the heat generated by the particles disrupted the
collagen fibers increasing the permeability of the 3D collagen structure.
In this work, we studied the influence that the exposure to an AMF
had on MNP internalization in tumor cells in both models. Three different
combinations of magnetic field amplitude (H) and
frequency (f) were used (AMF 1: 110 kHz and 31.9
kA/m; AMF 2: 377 kHz and 13 kA/m; and AMF 3: 228 kHz and 23.9 kA/m).
These conditions were selected, within the technical limitations of
our device, to maintain the biological limit considered safe in the
literature.[28,29] In all cases, the AMF exposure
was 30 min.As expected, in the In Model, both the percentage
of MNP-loaded
cells and the MFI remained the same before and after the AMF application
due to the absence of MNPs located extracellularly (Figure C). In contrast, in the In&Out
Model, while the percentage of MNP-loaded cells did not change significantly
before and after the AMF application, the average amount of MNPs internalized
per cell increased after the MH treatment (Figure F). These results indicated that probably
longer times are needed to achieve a complete internalization of the
particles by the cells that are located in the inner part of the 3D
structure.Interestingly, the increase in the number of MNPs
internalized
per cell in the In&Out Model after the AMF treatment was significantly
different depending on the AMF conditions. In particular, the highest
increase in MNP internalization was observed for AMF 3 conditions
(MFI = 15.0 ± 0.9 au). This value was the highest of all of the
conditions tested at the different AMF conditions (Figure C,F).Probably, the variations
in the AMF conditions produced a different
heating profile both on the collagen matrix and on the plasma membrane
of MNP-loaded cells that had an effect on the diffusion of the MNPs
within the 3D structure and its internalization. Several approaches
had been described to measure temperatures locally, although all of
them needed a significant alteration of the MNPs,[30,31] and therefore, the results may not be a precise reflection of the
real nanoscale local temperatures reached during the AMF exposure.
SAR measurements of water suspensions of these particles were also
not a good characterization alternative to estimate such values, as,
among other limitations, it is very difficult to know the local MNP
concentration in the 3D cell culture, a key parameter affecting the
interparticle dipolar interactions and thus their heating efficiency.[32] Further studies using theoretical simulations[18] would be required to completely understand the
heat being released by the particles under the AMF conditions that
were applied to further optimize the treatment.In these experiments,
the use of the In&Out Model was especially
interesting as it helped highlight that the cell internalization of
MNPs located in the extracellular environment was enhanced by the
MH treatment. This observation could have an important effect in clinical
settings, as in most in vivo studies the MNPs are
injected intratumorally,[11,33,34] where a remarkable percentage of MNPs remains in the extracellular
matrix. In such a case, a positive effect of the repetition of AMF
exposure on consecutive days to enhance the effect of MH treatment
may occur.[35,36] Additionally, an increase of
the extracellular matrix permeability after the AMF exposure could
be of great help not only because of the MNP internalization enhancement
but also because it could be used to allow the infiltration of antitumor
drugs or immune system cells toward the inner areas of the tumor that
would contribute to improving the final antitumor effectiveness.[37]
Use of 3D Cell Culture Models to Select the
AMF Conditions with
Better Effectiveness
After studying the MNP internalization,
we examined the cell viability after MH treatment at the three conditions
of magnetic field detailed above. For that purpose, the cell viability
of the different treatments was tested by flow cytometry using propidium
iodide (PI), which enters the cell as a result of plasmatic membrane
disruption, and Annexin V, which binds phosphatidyl serine (PS), a
phospholipid that translocates to the outer leaflet of the plasmatic
membrane at the beginning of the apoptosis process.Figures and S2 from the Supporting Information show the results
of the cell viability studies 24 h after the MH treatment for both
3D models, In Model and In&Out Model. It was observed that, for
both models, all of the controls presented cell viability values above
80%, confirming that the AMF and the MNPs per se did
not produce any cytotoxic effect. When analyzing the results of cell
viability after the complete treatment using three different AMF conditions,
it was observed that, in both models, when using AMF 1 and AMF 2 conditions
the cell viability was similar to the control groups. These results
indicated that the heat released by the MNPs in these conditions was
not enough to produce detectable cellular damage in MIA PaCa-2 cells
at least 24 h after the treatment. However, results were different
for the AMF 3 condition, where the cell viability decreased in both
models (72.0 ± 2.6% for the In Model and 52.9 ± 2.8% for
the In&Out Model). In these conditions, cells positive for Annexin
V (undergoing early apoptosis) and cells positive for both PI and
Annexin V (undergoing apoptosis or necrosis) were detected. The differences
in the percentages of dead cells observed for the two models under
exposure to AMF 3 were probably due to the different percentages of
MNP-loaded cells. In the case of the In Model, the percentage of cells
that internalized MNPs was much higher than for the In&Out Model,
as previously shown in Figure , and as a result, the overall cell viability decreased in
a bigger proportion. Having these two 3D cell culture models allowed
us to determine the importance of increasing the number of cells that
internalized particles to achieve better treatment effectiveness.
Figure 2
Cell death
induction (Annexin V/PI staining) 24 h after a single
administration of magnetic hyperthermia treatment using different
AMF conditions. In Model (left) and In&Out Model (right). AMF
1: 110 kHz, 31.9 kA/m. AMF 2: 377 kHz, 13 kA/m. AMF 3: 228 kHz, 23.9
kA/m. (A, B) Selected density plots representative of three independent
experiments. Control experiments using AMF 1 and AMF 2 are shown in Figure S2 of the Supporting Information. (C,
D) Summarized result data resulting from three independent experiments
shown as mean ± SD. Significant differences with respect to the
percentage of apoptotic cells between the control group and the treated
groups were analyzed using a two-way ANOVA followed by Dunnet’s
multiple comparisons test (****p < 0.0001; **p < 0.01; p > 0.05 no significance).
Cell death
induction (Annexin V/PI staining) 24 h after a single
administration of magnetic hyperthermia treatment using different
AMF conditions. In Model (left) and In&Out Model (right). AMF
1: 110 kHz, 31.9 kA/m. AMF 2: 377 kHz, 13 kA/m. AMF 3: 228 kHz, 23.9
kA/m. (A, B) Selected density plots representative of three independent
experiments. Control experiments using AMF 1 and AMF 2 are shown in Figure S2 of the Supporting Information. (C,
D) Summarized result data resulting from three independent experiments
shown as mean ± SD. Significant differences with respect to the
percentage of apoptotic cells between the control group and the treated
groups were analyzed using a two-way ANOVA followed by Dunnet’s
multiple comparisons test (****p < 0.0001; **p < 0.01; p > 0.05 no significance).The type of cell death triggered by MH treatment
was the same in
both models, observing some cells in an early apoptosis stage and
the other population in a late necrosis/apoptosis stage. Having the
same death route in both 3D models agreed with the fact that the average
number of MNPs per cell, as determined from the mean fluorescence
intensity in Figure , was similar in both of them at the beginning of AMF application.Furthermore, these results agreed with the observations for MNP
internalization in the previous section, pointing to the fact that
these field amplitude and frequency conditions were the ones in which
our system released more heat. These results were also in agreement
with our previous work comparing both 3D models but using a nontumoral
model cell line.[6] As the f × H0 value from AMF 3 was slightly
above the biological limit of 5 × 109 A/ms[28,29] (5.4 × 109 A/ms), for the in vivo experiments, the closest AMF conditions to AMF 3 available in our
device (f = 196 kHz; H = 26 kA/m)
were chosen.
Detection of Markers of Immunogenic Cell
Death after MH Treatment
The effect of MH treatment in a
murine model was then studied using
the AMF conditions similar to those of AMF 3, optimized in the in vitro experiments (AMFin vivo: 196 kHz;
26 kA/m). A nude mice strain was selected for the subcutaneous implantation
of MIA PaCa-2 cells, which led to the development of a xenograft pancreatic
tumor in the right flank of the animals. It is important to bear in
mind that these athymic animals lack the adaptive immune response
orchestrated by the thymus, presenting a reduced number of T cells,
which may lead to an underestimation of the real effectiveness of
the treatment.Approximately 14 days after the MIA PaCa-2 cells’
injection, the tumors were small (around 100–200 mm3), but detectable and appropriate, for MNP injection (0.15 mg Fe/tumor).
Animals were randomly distributed in four groups, four mice in each
control group and eight in the one receiving the complete treatment.
The different experimental groups were as follows: (i) control animals
without any treatment (control group); (ii) animals exposed to the
AMF but without the MNP injection (AMF); (iii) animals that received
the MNP injection but were not exposed to the AMF (MNPs); and (iv)
animals that received the MNP injection and were then exposed to the
AMF (AMF + MNPs). The groups receiving MH were exposed to the AMF
on the same day of the MNP injection and on the next 2 consecutive
days (see Scheme ).
In all cases, the evolution of the tumor volume and the animals’
weight were followed twice a week for 4 weeks after treatment, with
the exception of the animals in which the CALR expression was studied,
which were monitored just for 2 weeks.
Scheme 1
Schematic Representation
of the Different Groups Used in the In Vivo Experiments
and the Timeline of the Experiment Including
the AMF Exposure and the Moments in Which the Animals Were Sacrificed
for the Different Experiments
Control, animals without any
treatment; AMF, animals exposed to the AMF but without the MNP injection;
MNPs, animals that received the MNP injection but were not exposed
to the AMF; and AMF + MNPs, animals that received the MNP injection
and were then exposed to the AMF.
Schematic Representation
of the Different Groups Used in the In Vivo Experiments
and the Timeline of the Experiment Including
the AMF Exposure and the Moments in Which the Animals Were Sacrificed
for the Different Experiments
Control, animals without any
treatment; AMF, animals exposed to the AMF but without the MNP injection;
MNPs, animals that received the MNP injection but were not exposed
to the AMF; and AMF + MNPs, animals that received the MNP injection
and were then exposed to the AMF.At around
20 days after the MNP administration, we assessed the
expression of a marker of immunogenic cell death (ICD) during in vivo MH treatment to know whether the cells that die
during treatment could trigger an immune response that would help
in the tumor treatment.The generation of some damage-associated
molecular patterns (DAMPs)
is related to immunogenic cell death activation.[38,39] The expression of these molecules in cells responding to a death
stimulus leads to a robust immunostimulatory effect since they bind
to pattern recognition receptors in the immune cells. Calreticulin
(CALR) proteins, normally located in cellular storage compartments,
are exposed on the outer side of the plasmatic membrane in the beginning
of the ICD, before the translocation of the phosphatidyl serine typical
of apoptosis.[20] CALR is exposed as a consequence
of the activation of caspase 8 and other molecules involved in apoptosis.
When CALR is recognized by a lipoprotein receptor (low-density lipoprotein
receptor LRP1 or CD91), an important phagocytic signal is triggered,
stimulating antigen-presenting cells like the dendritic cells. CALR
exposure can be detected by flow cytometry using the corresponding
specific antibody.Figure shows the
results of CALR expression of three groups of mice: control, MNPs,
and AMF + MNPs sacrificed at around 20 days after the beginning of
the study. After euthanizing the animals, tumors were extracted, and
a cell dissociation protocol was followed to obtain a homogeneous
cell suspension formed by both tumor cells and extracellular tumor
matrix-infiltrating cells. Although it was known that in the case
of these tumors most of the cells were tumor cells, still a small
percentage of other cells may be present and as such formed part of
the analysis.[40−42] The complete suspension was then analyzed by flow
cytometry determining two parameters: MNP internalization and expression
of CALR proteins in the cells obtained after digesting the tumor mass.
Results indicated that in the AMF + MNP group the percentage of cells
that internalized MNPs was three times higher (∼47%) compared
to those animals that received the MNP injection but were not exposed
to the AMF (MNP group: ∼14%) (Figure ). Although this increase in the number of
cells that internalized MNPs after the AMF exposure was not observed
in the in vitro experiments, probably, this could
be related to the repetitive consecutive AMF cycles applied and the
longer time after the AMF exposure during which MNP internalization
was carried out in the animal study compared with the in vitro one.
Figure 3
Magnetic nanoparticle uptake and calreticulin expression in animals
from the control group, the group that received the MNP intratumor
administration (MNPs), and the one that received the complete treatment
(AMF + MNPs). (A) Flow cytometry histograms showing MNP internalization
(top) and CALR expression (bottom) in cells obtained by digesting
the whole tumor after the MH treatment. (B) Summarized data from flow
cytometry experiments showing the percentage of cells that express
CALR in the membrane in the cells without MNPs (top) and in the MNP-loaded
cells (bottom). n = 2.
Magnetic nanoparticle uptake and calreticulin expression in animals
from the control group, the group that received the MNP intratumor
administration (MNPs), and the one that received the complete treatment
(AMF + MNPs). (A) Flow cytometry histograms showing MNP internalization
(top) and CALR expression (bottom) in cells obtained by digesting
the whole tumor after the MH treatment. (B) Summarized data from flow
cytometry experiments showing the percentage of cells that express
CALR in the membrane in the cells without MNPs (top) and in the MNP-loaded
cells (bottom). n = 2.Concerning the CALR expression, it was observed that in the MNP
group there was a portion of cells that expressed a higher amount
of CALR in their plasma membrane (∼55%; MFI = 9.7 ± 0.1
au) compared to the cells without MNPs (∼15%; MFI = 9.4 ±
0.1 au), which indicated that the internalized MNPs were causing some
stress to the cells even in the case of not being exposed to the AMF.
Interestingly, the expression of this protein increased considerably
for the complete treatment (AMF + MNP group: ∼80%; MFI = 10.6
± 0.4 au).To go one step further, these results were analyzed
more in detail
by comparing the percentage of cells expressing CALR in the two distinguishable
populations from each treatment, the cells with and without MNP internalization
(Figure ). In the
MNP-treated group, when analyzing only MNP-loaded cells, the percentage
of cells positive for CALR expression was 54%, indicating some degree
of immunostimulatory effect associated with the presence of MNPs.
Even though no clear toxicity of these particles was observed in vitro at shorter times (Figure ), recent works had highlighted the potential
use of iron-based nanomaterials for cancer treatment as ferroptosis[43] activators at longer times once the particles
are degraded and release iron atoms.[44,45] In fact, it
was recently shown that the oxidative stress induced by the Fenton
reaction, generated by the free iron ions, led to the exposure of
calreticulin on tumor cells,[46] results
that support our findings here. The percentage of cells positive for
CALR expression from the MNP-loaded cell population of the AMF + MNP
treatment was significantly higher (80%) than that of the MNP treatment,
indicating that a stronger activation of the immune system could have
been triggered after the MH treatment. In contrast, when analyzing
the cell population with no internalized MNPs from the three groups
(control, MNPs, and AMF + MNPs), the expression of the CALR levels
was similar in all of the samples analyzed, indicating that no bystander
effect was occurring, at least in terms of the expression of this
molecule (Figure ).In summary, our results indicated that tumor cells were affected
by the presence of internalized particles and that the magnetic hyperthermia
treatment enhanced the expression of the analyzed DAMP, indicating
that the potential activation of immunogenic cell death routes was
triggered by this treatment. These results are in agreement with a
recent publication, using also iron oxides, that showed that after
heating up tumors with MNPs, in this case with light radiation, there
was an immune response, observing the activation of dendritic cells
and T cells in in vivo experiments, resulting in
the inhibition of metastatic tumors.[47] Indeed,
very little work has been performed on the study of the immunomodulatory
effect of MH treatment,[21,23,48] and none of the few reported studies used iron oxide spherical magnetic
nanoparticles as thermal sources, as is the case in this work. Some
recent work had also evaluated the activation of the immune system
in the tumor environment related to the heat produced by photothermal
therapy with gold nanoparticles,[49] and
other works had presented the activation of immune responses using
magnetic nanoparticles but not exposed to the AMF.[50] Thus, the emerging field of the use of magnetic nanoparticles
to trigger an immune response in the frame of cancer treatment needs
further studies to identify all of the relevant factors in the immune
system response generated both by the MNPs and by the MH treatment
and their impact on therapeutic response. Stimulating the adaptive
immune response would open a window of opportunity for the treatment
of metastatic tumors, as the generation of a systemic antitumor reaction
in the primary tumor could have an effect on secondary tumors and
also trigger an immune memory effect,[51] which could prevent patients from relapsing.
Observation of Tumor Growth
Inhibition after MH Treatment
To evaluate the MH treatment
effectiveness in vivo, the evolution of the tumor
volume along time for the different
groups was followed for approximately 30 days (Figure A,B). In general, this is the main parameter
that has been used in previous works over the past few decades assessing
the effectiveness of the treatment.[25] Previous in vivo studies evaluating the use of MH for cancer treatment
generally had reported the inhibition of tumor growth, and there are
only scarce works where a complete regression of the tumor occurred.[52−55]
Figure 4
(A)
Tumor evolution represented as the starting volume (Vmin) and maximum volume reached during the experiment
(Vmax). (B) Same data as in panel A for
the AMF + MNP group but divided into two subgroups with different
behaviors: subgroup A, with a lower treatment effectiveness; and subgroup
B, with a better response to the treatment. Significant differences
with respect to the control were analyzed using a two-way ANOVA followed
by Sidak’s multiple comparisons test (****p < 0.0001; ***p < 0.001; **p < 0.01; *p < 0.05; p >
0.05
no significance). In cases where more than one group generated significant
differences with respect to the control, the means between those groups
were also compared. This figure was produced using images from the
Servier Medical Art PPT image bank.
(A)
Tumor evolution represented as the starting volume (Vmin) and maximum volume reached during the experiment
(Vmax). (B) Same data as in panel A for
the AMF + MNP group but divided into two subgroups with different
behaviors: subgroup A, with a lower treatment effectiveness; and subgroup
B, with a better response to the treatment. Significant differences
with respect to the control were analyzed using a two-way ANOVA followed
by Sidak’s multiple comparisons test (****p < 0.0001; ***p < 0.001; **p < 0.01; *p < 0.05; p >
0.05
no significance). In cases where more than one group generated significant
differences with respect to the control, the means between those groups
were also compared. This figure was produced using images from the
Servier Medical Art PPT image bank.In our work, as expected, the control and the AMF group showed
the highest tumor growth rates, very similar in both cases. The MNP
group, which received the particle injection, did not reach tumor
volumes as high as the other two control groups (control and AMF groups).
Finally, the AMF + MNP group, where animals received the complete
treatment consisting of three cycles of MH, showed a heterogeneous
antitumor effect, which could be divided into two different subgroups
(Figure B). One of
these subgroups showed a lower antitumor effect (subgroup A), while
the other subgroup of animals (subgroup B) showed a higher inhibition
of tumor growth. The differences in tumor growth behavior between
these two subgroups were statistically different.The reduction
in tumor growth in the group treated just with the
MNPs in comparison with the control and AMF groups indicated an interesting
potential therapeutic effect just from the stress that could be triggered
due to the internalization or degradation of magnetic particles, as
hypothesized from the results of the CALR expression enhancement in
cells containing MNPs (Figure ). Although stronger effects on tumor growth were observed
in the group that received the complete treatment (MNPs + AMF), the
differences between animals belonging to the complete treatment group
were striking and needed further analysis. Therefore, to evaluate
the reasons for these differences, further histopathological analyses
and magnetic measurements to shed light on differences in MNP biodistribution
after MNP injection were performed.
Enhancement of MNP Internalization
in the Tumor after MH Treatment
Histological assessment of
tumor sections from the different groups
provided further information regarding the effect of the treatment.
The nanoparticle distribution in the tissue was observed through specific
iron staining with Perls Prussian blue. In both groups containing
nanoparticles (MNPs and AFM + MNPs), the particles were mainly located
in the outer areas of the tumor (Figure A). This nonhomogeneous particle distribution
within the tumor had also been previously reported in other studies
using intratumoral administration.[56,57] Some factors
had already been proposed as the cause of the variation of spatial
distribution of the nanoparticles in the tumor, such as the flow rate
injection,[58] the time between the injection
and the MH treatment, or the exposure or not to the AMF.[59] This nonhomogeneous distribution of MNPs could
be one of the reasons why the complete inhibition of tumor growth
was not observed in our case, as the hotspots generated by the particles
may not have any impact on the inner areas of the tumor.[60]
Figure 5
Histological analysis of tumor sections. (A) Representative
tumor
sections after Perls Prussian blue staining. The numbers represent
the 10 random areas used for dead cell quantification in each section.
(B) Summarized analysis of the dead cells per area in the different
groups analyzed. The data are represented as mean ± SD. The statistical
differences with respect to the control group were determined using
a one-way ANOVA (**p < 0.01; *p < 0.05; p > 0.05 no significance).
Histological analysis of tumor sections. (A) Representative
tumor
sections after Perls Prussian blue staining. The numbers represent
the 10 random areas used for dead cell quantification in each section.
(B) Summarized analysis of the dead cells per area in the different
groups analyzed. The data are represented as mean ± SD. The statistical
differences with respect to the control group were determined using
a one-way ANOVA (**p < 0.01; *p < 0.05; p > 0.05 no significance).In our work, we quantified the dead cells in each
tumor section
based on morphological changes observed in histological sections (Figures and S3 of the Supporting Information) to obtain more
information about the effects caused by MH treatment. Ten different
zones of the same area per tissue section were selected for the analysis.
No significant differences in the number of dead cells per area were
observed between the three control groups: mice treated with PBS (control),
mice exposed to the AMF field (AMF), or mice treated with the MNPs
but not exposed to the AMF (MNPs) (Figure B). In contrast, significant differences
were found for the group that received the complete MH treatment (AMF
+ MNPs) (Figure B).
These differences were higher in the subgroup of mice where a clear
tumor growth inhibition was observed (p = 0.0014
for subgroup B). In contrast, a smaller effect was observed in the
other subgroup of mice (p = 0.0187 for subgroup A).
These results agreed with the effect observed in the evolution of
the tumor volume found for these two subgroups.Interestingly,
in all of the mice exposed to an AMF after the MNP
injection, penetration of the particles toward the inner parts of
the tumor was observed (Figure ). This is the same effect previously reported in our studies
with 3D cell culture models[6] and in previous in vivo works.[59,60] The reason for this
penetration is probably the temperature increase triggered by the
MH treatment, which can have an important effect on the extracellular
matrix structure, facilitating the penetration of MNPs toward the
inner areas of the tumor. As mentioned before, these results were
especially relevant in the frame of pancreatic ductal adenocarcinoma,
given its high content of stroma that acts as a barrier against chemotherapeutic
agents.[61] It could be envisaged that MH
treatment could act as a tool able to increase the permeability of
the stroma, having potential synergistic effects on the treatment
of pancreatic cancer with chemotherapy. Nevertheless, further experiments
are still needed to clarify the cause of the differences in effectiveness
of MH treatment between the two subgroups that received the complete
treatment (subgroup A and subgroup B).
Hindering of MH Effectiveness
by Leakage of MNPs to the Liver
and the Spleen
To analyze the possible causes of these differences
between the groups of animals that received the complete treatment,
we performed an analysis of MNP concentration in the tumor tissues
together with the analysis of their biodistribution among other organs
once the animals were sacrificed.Few studies have analyzed
the biodistribution of nanoparticles toward the internal organs when
using intratumor administration.[52,56] One of the
main difficulties is that, given the relatively high amount of endogenous
iron in the liver and the spleen, conventional elemental analysis
techniques are not specific enough to detect variations in small amounts
of iron coming from the particles. For this reason, AC magnetic susceptibility
measurements were selected, as this technique is able to distinguish
between the endogenous iron and the iron originating from the MNPs,
allowing their detection with high sensitivity and specificity.[62]After sacrificing the mice at the end
of the study, some organs
were extracted (tumor, skin in contact with the tumor, liver, spleen,
and blood) and the number of particles in each of them was analyzed
using magnetic measurements. The temperature dependence of the AC
magnetic susceptibility for all of the organs was measured and compared
with that of the injected particles (Figure S1 from the Supporting Information). Previous works had validated this
technique as a very sensitive way to detect the MNP biodistribution.[63−67] The susceptibility maxima observed in Figure A,B agreed with the characterization of the
particles and acted as a fingerprint of the presence of particles
in a given tissue.[62,68] The height of the out-of-phase
susceptibility maxima (Figure S4 from the
Supporting Information) was related to the number of particles within
a given tissue and was used to quantify the iron concentration in
the form of MNPs in each tissue sample.
Figure 6
MNP biodistribution assessed
by AC magnetic susceptibility 30 days
after their intratumor injection. Temperature dependence of the in-phase
susceptibility from the (A) tumor and (B) liver 30 days after the
intratumor injection. (C) Average iron concentration (associated with
MNPs) calculated from the magnetic characterization analysis for each
of the analyzed tissues (tumor, liver, spleen, and skin next to the
tumor) for the two subgroups of animals that received the complete
treatment (AMF + MNPs). This figure was produced using images from
the Servier Medical Art PPT image bank.
MNP biodistribution assessed
by AC magnetic susceptibility 30 days
after their intratumor injection. Temperature dependence of the in-phase
susceptibility from the (A) tumor and (B) liver 30 days after the
intratumor injection. (C) Average iron concentration (associated with
MNPs) calculated from the magnetic characterization analysis for each
of the analyzed tissues (tumor, liver, spleen, and skin next to the
tumor) for the two subgroups of animals that received the complete
treatment (AMF + MNPs). This figure was produced using images from
the Servier Medical Art PPT image bank.The quantification process was performed in different tissues.
However, as the tumor was split into several parts to be also analyzed
by histology, some errors may have been introduced in the calculations
of this particular tissue related to the heterogeneous MNP biodistribution,
and results from the tumors have to be interpreted cautiously. In
the tumors, an average concentration of iron in the form of MNPs of
0.7 ± 0.6 μg of iron/mg of tissue was found for subgroup
A, while for subgroup B, this value was 2.5-fold higher (1.7 ±
0.6 μg of iron/mg of tissue), although it has to be considered
that relatively big standard deviations were obtained in these tissues.
Much lower iron concentrations were found in the rest of the analyzed
tissues (Figure C).To evaluate the percentage of iron from the initial administration
that was found in each tissue, the whole tissue mass was considered
to obtain the total iron content remaining in the tissues. In the
tumors, this value was found to be quite heterogeneous (≈5–80
μg of iron, which corresponded to ≈2.5–40% of
the mass of iron from the initial injection). In the skin samples,
although still quite heterogeneous, a shorter range of iron amounts
was found (≈3.5–17% of the mass of iron from the initial
injection).It was interesting to compare the different biodistribution
patterns
observed in animals that had a different response to MH treatment.
Those animals that showed a weaker response (subgroup A) presented
detectable amounts of particles in the liver and the spleen (total
mass of iron: ≈3 μg of iron in the form of MNPs in the
liver and ≈0.1 μg of iron in the spleen; iron concentrations
per dry weight are shown in Figure C). In contrast, in animals belonging to subgroup B,
with a better response to MH treatment, no particles in other organs
(or at least under the detection limits of the technique) were found
(Figures C and S4 from the Supporting Information). These data
indicated that, in subgroup A, part of the injected dose had traveled
from the tumor to other organs, reducing the potential effect of the
treatment. The amount of particles found in the liver and spleen was
significantly lower than in the tumor, as previously described by
other authors.[56] However, it should also
be noted that it had been previously shown that the degradation of
MNPs in these two organs, spleen and liver, can occur within this
time frame,[63,66] so the total number of nanoparticles
that may have traveled to these organs was probably underestimated
in our analysis.One of the causes for the observation of MNPs
in the liver and
the spleen could be the extravasation of the particles through the
tumor vasculature. Leakage of the MNPs toward blood vessels would
result in their accumulation in the liver and spleen, the main organs
for MNP accumulation after intravenous administration.[63,64,67] In our case, no sign of MNPs
was found in blood samples collected during the animal sacrifice,
but this could be explained by a leakage at short times after the
intravenous injection of MNPs.Our results point toward the
important effect that an inadequate
biodistribution of MNPs in the body could have on the effectiveness
of treatment. Therefore, we suggest that this kind of study be routinely
performed after intratumor administration to verify that the intended
number of particles remained in the tumor area, using whole-body in vivo imaging techniques such as magnetic resonance imaging
(MRI) or magnetic particle imaging (MPI).
Conclusions
Two
different 3D cell culture models of the MIA PaCa-2 cell line,
one with the particles just inside the cells and the other with the
particles both inside and outside the cells, were prepared, and the
MNP internalization and viability after the treatment were assessed
for three different combinations of magnetic field amplitude and frequency.
The In&Out model allowed us to evaluate the impact that the AMF
exposure had on the MNP internalization. Furthermore, given that a
different number of cells with internalized particles was achieved
with each model, it was possible to relate the effectiveness of the
treatment in vitro with the percentage of cells that
contained MNPs. Finally, these 3D models allowed us to find the optimal
AMF conditions, from those evaluated, to achieve the best treatment
effectivity.A xenograft murine model of pancreatic cancer was
developed for
the in vivo analysis of the optimized AMF conditions.
CALR expression, a marker of the immune response, was significantly
enhanced in those cells containing MNPs after the MH treatment, opening
the way to further studies on immune stimulation after MH using animal
models with a complete immune system. The histological analysis of
tumor sections indicated a heterogeneous distribution of the particles
within the tumor, with most of them being located in the outer areas.
Nevertheless, the MH-treated mice showed the presence of significant
amounts of particles in inner areas of the tumor. This is probably
the result of the increased penetration of the particles toward the
inner parts of the tumor after the exposure to several consecutive
cycles of AMF. This observation points to future studies combining
MH and chemotherapy to evaluate possible synergistic effects of both
treatments, especially if the disruption of the extracellular matrix
produced by the local heating effect of the noninternalized particles
is also able to improve the permeability of drugs toward the inner
parts of the tumor.Finally, even though a decrease in the tumor
growth rate was observed
for all animals that received the complete MH treatment in comparison
with the controls, it was possible to divide the animals treated into
two subgroups depending on the differences found in their tumor growth
rates. A clear relationship was then found between those subgroups
and their whole-body particle biodistribution pattern. The subgroup
of animals in which the treatment was less effective presented a lower
number of particles in the tumor along with the presence of particles
in the liver and the spleen. These results indicated the importance
of correct biodistribution after the intratumor injection of the nanoparticles
to achieve the most effective treatment.In summary, our results
revealed key parameters to be considered
for the successful treatment of pancreatic cancer using magnetic hyperthermia.
These results could be critical for the development of MH-based pancreatic
cancer treatment schemes with higher therapeutic effectiveness.
Materials and Methods
Synthesis, Functionalization,
and Characterization of Magnetic
Nanoparticles
Iron oxide MNPs (≈11 nm) were synthesized
by thermal decomposition in organic media based on a previously reported
seed-mediated growth method[69] using iron(III)
acetylacetonate (Fe(acac)3) as a precursor.[63] This procedure rendered oleic acid-coated hydrophobic
MNPs, which were then transferred to water using a protocol based
on the coating with an amphiphilic polymer (poly(maleic anhydride-alt-1-octadecene),
PMAO, MW 30 000–50 000 Da) modified with TAMRA
(tetramethylrhodamine 5(6)-carboxamide cadaverine (Anaspec, Seraing,
Belgium, λex = 543 nm, λem = 570
nm), a fluorophore that allows the in vitro tracking
of the MNPs).[63] Then, the coated MNPs were
functionalized with glucose to provide further stability in biological
media. The coated nanoparticles (1 mg of iron) were incubated with
42 μmol of N-(3-dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride (EDC) and 30 μmol
of 4-aminophenyl β-d-glucopyranoside in 250 μL
of sperm storage buffer (SSB) (50 mM boric acid and 50 mM sodium borate)
at pH 9. After 3 h at room temperature, the excess of reagents was
removed by washing the sample with phosphate-buffered saline (PBS)
buffer at pH 7.4 in a centrifugal filter.[70] Finally, nanoparticles were passed through syringe filters with
a pore size of 0.22 μm (Merck Millipore, Darmstadt, Germany).
Dynamic light-scattering and ζ-potential measurements were performed
in water and in complete Dulbecco’s modified Eagle’s
medium GlutaMAX Supplement (cDMEM; Gibco, Thermo Fisher Scientific)
on a Malvern Zetasizer Nano-ZS, using 10 runs per measurement and
five replicates at 25 °C and pH 7. Particle size and morphology
were studied by transmission electron microscopy (TEM) using a Tecnai
T20 (FEI company, OR) microscope operating at 200 kV. The sample was
prepared by placing a drop of a diluted suspension of the MNPs in
water onto a carbon-coated grid and allowing it to dry. Particle size
was determined by manual measurement of 200 particles using Digital
Micrograph software. The heating capacity of the MNPs was determined
using a commercial alternating magnetic field generator (DM100; Nanoscale
Biomagnetics, Spain). A 1 mg Fe/mL MNP suspension was placed in a
closed container centered in the inductive coil. The AMF was applied
for 5 min using a field amplitude of H = 20 kA/m
and a frequency of 829 kHz, while the temperature was recorded using
an optic fiber sensor incorporated in the equipment. For the magnetic
characterization, the MNP liquid sample was allowed to dry at room
temperature deposited in a piece of cotton wool that was subsequently
placed in a gelatin capsule. An additional sample of the particles
dispersed in agar and then freeze-dried was prepared to be used in
the quantification protocol. AC magnetic susceptibility measurements
were performed in a Quantum Design MPMS-XL SQUID magnetometer with
an alternating current (AC) option. Measurements were acquired using
a field amplitude of 0.41 Oe and a frequency of 11 Hz in the temperature
range between 5 and 300 K.
Cell Culture
The MIA PaCa-2 (ATCC
CRL-1420) pancreatic
cancer cell line was cultured and maintained in complete Dulbecco’s
modified Eagle’s medium GlutaMAX Supplement (cDMEM; Gibco,
Thermo Fisher Scientific) supplemented with 10% fetal bovine serum
(FBS, Invitrogen), 100 U/mL penicillin G (sodium salt), and 100 μg/mL
streptomycin sulfate (Invitrogen) at 37 °C in a humidified atmosphere
at 5% CO2. Every 3 or 4 days depending on the confluency,
the cell culture was diluted to 1:10. To detach the cells, they were
incubated with Trypsin ethylenediaminetetraacetic acid (EDTA) solution
(Sigma-Aldrich) for 4 min at 37 °C. Finally, cells were collected
in fresh cDMEM. To prepare the 3D cell culture models, two different
strategies of incubation with MNPs were followed based on a previously
reported method.[6] The first model where
nanoparticles are located only inside the cells—In Model—was
prepared by incubation of the cells, cultured in monolayer conditions,
with MNPs (0.2 mg Fe/mL) for 24 h at 37 °C. After this time,
the medium with MNPs was discarded and the cells were detached and
washed by centrifugation (300g, 5 min) twice and
then were used to form the collagen structure (rat tail collagen type
I (protein concentration 2.05 mg/mL in 0.6% acetic acid, First Link
(UK) Ltd.)). Just after the collagen gelling, 0.5 mL of cDMEM was
added to the 3D structure. The collagen gelling process takes 20 min,
and after that, the 3D culture is maintained at 37 °C for 2.5
h before the MH experiments to stabilize the cells in the 3D structure.
In the other model where nanoparticles are located both inside and
outside the cells—In&Out Model—the 3D cell culture
was generated first with the cells in suspension, and then, 0.5 mL
of an MNP suspension (0.2 mg Fe/mL) in cDMEM was added and incubated
at 37 °C for 24 h. After the incubation time, the supernatant
was removed, the 3D cell culture was washed twice, and 0.5 mL of complete
culture medium was added to the 3D model. The MH application starts
just after this process.
Tumor Xenograft Model
Pathogen-free
male athymic nude
mice (Crl:NU(NCr-Foxn1)), 6 weeks old, received a single subcutaneous injection into the
right flank with the human pancreatic cancer cell line MIA PaCa-2-2
(5 × 106 cells) suspended in 0.2 mL of sterile DMEM
culture medium without phenol red using a 25 G needle. During the
cell injection, animals were anesthetized by inhalation of isoflurane
(4% for the induction step and 2% for maintenance). The mice were
commercially obtained from Charles River Laboratory and were maintained
in the animal facilities of the Centro de Investigaciones Biomédicas
de Arago′n, CIBA (Instituto Aragonés de Ciencias de
la Salud (IACS), Universidad de Zaragoza). Before any procedure, mice
were held for one week after arriving from the animal facilities for
acclimation. Animals were maintained according to the institutional
animal use and care regulation of CIBA. All animal experiments were
conducted according to the RD53/2013 law and approved by the Ethics
Committee for animal experiments from the University of Zaragoza,
which is an accredited animal welfare body.
Magnetic Hyperthermia Treatment
A commercial AMF generator
(DM3, nB nanoscale Biomagnetics, Zaragoza, Spain) housed inside the
animal facilities was used in all scenarios. The exposure time to
AMF was 30 min in each case. In vitro, MIA PaCa-2
cells cultured in 3D conditions in 24-well plates were thermalized
at 37 °C using a water bath pump (Stryker, Medical Devices &
Equipment Manufacturing Company) connected to a water tubing jacket.
Then, cells were exposed to the AMF using different schemes of frequency
and field amplitude: AMF 1 (377 kHz, 13 kA/m), AMF 2 (110 kHz, 31.9
kA/m), and AMF 3 (228 kHz, 23.9 kA/m). In vivo, immunodeficient
mice were inoculated with human pancreatic cancer cells as previously
described. About 3 weeks later, when the tumor size was about 0.1
cm3, 3 mg/mL MNPs in a final volume of 0.05 mL per tumor
were injected intratumorally using a 30 G needle. Mice were divided
randomly into four different groups (control, tumor control; AMF,
tumor exposed to AMF; MNP, tumor injected with MNPs; AMF + MNPs, tumor
injected with MNPs and exposed to the AMF). On the same day of MNP
injection and on the following 2 days, mice were exposed to the AMF
(f = 196 kHz; H = 26 kA/m), the
closest AMF conditions to AMF 3 tested in the in vitro experiments available in our device that resulted in an f × H0 value of 5 ×
10–9 A m–1 s–1. Mice were anesthetized with isoflurane and maintained during the
AMF exposure on a hot water bath system that prevents the mice from
suffering hypothermia. The rectal temperature was registered during
the AMF exposure to control the general state of the animals. After
the last AMF exposure, mice were maintained to evaluate the response
to the treatment. Tumor dimensions (length, width, and height) were
measured twice a week with a digital caliper. The weight of mice was
followed during the experiment as an indicator of their wellness.
Confocal Microscopy
To study the MNP cell internalization,
the 3D cell cultures were fixed for 20 min with 0.5 mL of paraformaldehyde
(4%). Then, the nuclei were stained with 4′,6-diamidino-2-phenylindole
(DAPI) and the cytoskeleton with Phalloidin 488. A Zeiss LSM 880 confocal
microscope equipped with a 63x/1.40 Plan Apochromat objective was
used to acquire the images of the cells. The laser sources used were
458 nm, 488 nm (argon ion), and 561 nm (DPSS, diode-pumped solid state).
The ZEN microscope as well as imaging software were used for the image
analysis.
Flow Cytometry Studies
All samples were analyzed in
a Gallios flow cytometer (Beckman Coulter), and the data were interpreted
with Kaluza 2.1 software (Beckman Coulter).
In Vitro Assays
Cells were released
from the 3D cell cultures using a treatment with collagenase type
I (isolated from Clostridium histolyticum lyophilized, nonsterile, Gibco Thermo Fisher Scientific) at 2 mg/mL
in Hank’s balanced salt solution (HBSS) for 30 min at 37 °C.
Then, in each case, cells were washed by centrifugation (300g, 5 min) and resuspended in PBS (pH = 7.4). To determine
the MNP uptake, cells resuspended in PBS at a concentration of 2.5
× 104 cells/mL were analyzed by flow cytometry in
the FL2 channel at 575 nm. To study the cell viability, cells were
resuspended in 1× Annexin V binding buffer (10 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic
acid (HEPES)/NaOH (pH = 7.4) 140 mM NaCl, 2.5 mM CaCl2)
at a concentration of 106 cells/mL. Then, 5 × 10–3 mL of Annexin V-FITC (fluorescein isothiocyanate,
λex = 488 nm, λem = 530 nm) and
5 × 10–3 mL of propidium iodide (PI, λex = 535 nm, λem = 617 nm) were added to 0.1
mL of the cell suspension and incubated at room temperature for 15
min in the dark (FITC-Annexin V apoptosis detection kit). After the
incubation period, 0.4 mL of 1× Annexin binding buffer was added
and the sample was analyzed by flow cytometry.
Ex Vivo Assays
Subcutaneous tumors
from euthanized mice were placed into a corning tube with the cDMEM
medium. Then, on a glass surface, each tumor was disengaged in small
pieces with scalpels and transferred into a 15 mL corning tube with
3 mL of collagenase P (1.5 mg/mL). The mixture was placed in continuous
rotation for 10–12 min in an incubator at 37 °C. The reaction
was stopped by addition of 1 mL of FBS and cDMEM until a final volume
of 10 mL, and then, the sample was centrifuged for 5 min at 300g. The supernatant was removed, and 2 mL of trypsin/EDTA
was added to the pellet and mixed gently for 3 min at 37 °C.
The trypsin was neutralized by addition of 2 mL of FBS and cDMEM until
a final volume of 15 mL. After a thorough mixing, the suspension was
centrifuged for 5 min at 300g and the supernatant
was discarded. The pellet was resuspended in 5 mL of cDMEM and filtered
through a 100 μm filter and then through a 40 μm strainer
into a 50 mL corning tube. The sample was transferred into a 15 mL
tube and centrifuged for 5 min at 300g. The supernatant
was discarded, and the pellet was resuspended in 0.8 mL of 1×
red blood cell (RBC) lysis buffer (Invitrogen by Thermo Fisher Scientific)
by continuously agitating with the pipette for 20–30 s. The
reaction was stopped by addition of a DMEM medium (5–10 mL),
and then, the mixture was washed by centrifugation (5 min at 300g). The supernatant was discarded and resuspended in PBS.
To evaluate immunogenic death signals, cells from tumor samples, from
two animals in each group, were resuspended in 1× binding buffer
at a concentration of 1 × 104 cells/mL. Then, 2 ×
10–3 mL of α-Calreticulin antibody-Alexa Fluor
405 (Abcam ab210431) was added to 0.05 mL of the cell suspension and
incubated at room temperature for 30 min in the dark. After the incubation
period, the cells were washed three times by centrifugation (300g, 5 min). Finally, 0.4 mL of 1× binding buffer was
added and the sample was analyzed by flow cytometry. To determine
the MNP uptake, the cells were analyzed in the FL2 channel at 575
nm.
Mice Sample Preparation and Analysis
Mice were euthanized
by CO2 inhalation, and blood was directly extracted from
the heart. In addition, the tumors, the skin next to them, the livers,
and the spleens were removed. Tumor pieces were fixed in 4% paraformaldehyde
(PFA) and processed to perform hematoxylin/eosin and Perls Prussian
blue staining. Cell death was assessed by analysis of morphological
changes. All of the sample preparation including the scanning in the
light field were performed by the “Servicio Científico
Te′cnico-Microscopía y Anatomi′a Patolo′gica”
of the CIBA (IACS, Universidad de Zaragoza). For the magnetic measurements,
tissue samples (liver, spleen, skin, and tumor pieces) were freeze-dried
in Telstar cryodos-50 for 24 h and placed directly into gelatin capsules
for their characterization. Magnetic susceptibility measurements were
performed in a Quantum Design MPMS-XL SQUID magnetometer with an alternating
current (AC) amplitude of 0.41 Oe, in the temperature range between
5 and 300 K and at a frequency of 11 Hz.
Statistical Analysis
All data were expressed as mean
± SD of a minimum of three biological replicas. Statistical significance
of difference in means was evaluated using GraphPad Prism v7.00. Two-way
ANOVA and one-way ANOVA tests were used for the analysis of the data.
The confidence interval was 95%. Sidak’s and Dunnet′s
multiple comparison post tests were used to determine the means that
differed.
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