Liposomal spherical nucleic acids (L-SNAs) show significant promise as cancer immunotherapeutics. L-SNAs are highly modular nanoscale assemblies defined by a dense, upright radial arrangement of oligonucleotides around a liposomal core. Herein, we establish a set of L-SNA design rules by studying the biological and immunological properties of L-SNAs as a function of liposome composition. To achieve this, we synthesized liposomes where the lipid phosphatidylcholine headgroup was held constant, while the diacyl lipid tail chain length and degree of saturation were varied, using either 1,2-dioleylphosphatidylcholine (DOPC), 1,2-dimyristoyl-phosphatidylcholine (DMPC), 1,2-dipalmitoylphosphatidylcholine (DPPC), or 1,2-distearoyl-phosphatidylcholine (DSPC). These studies show that the identity of the constituent lipid dictates the DNA loading, cellular uptake, serum stability, in vitro immunostimulatory activity, and in vivo lymph node accumulation of the L-SNA. Furthermore, in the 4T1 mouse model of triple-negative breast cancer (TNBC), the subcutaneous administration of immunostimulatory L-SNAs synthesized with DPPC significantly decreases the production of lung metastases and delays tumor growth as compared to L-SNAs synthesized using DOPC, due to the enhanced stability of L-SNAs synthesized with DPPC over those synthesized with DOPC. Moreover, the inclusion of cell lysates derived from Py8119 TNBC cells as antigen sources in L-SNAs leads to a significant increase in antitumor efficacy in the Py8119 model when lysates are encapsulated in the cores of L-SNAs synthesized with DPPC rather than DOPC, presumably due to increased codelivery of adjuvant and antigen to dendritic cells in vivo. This difference is further amplified when using lysates from oxidized Py8119 cells as a more potent antigen source, revealing synergy between the lysate preparation method and liposome composition in synthesizing immunotherapeutic L-SNAs. Together, this work shows that the biological properties and immunomodulatory activity of L-SNAs can be modulated by exchanging liposome components, providing another handle for the rational design of nanoscale immunotherapeutics.
Liposomal spherical nucleic acids (L-SNAs) show significant promise as cancer immunotherapeutics. L-SNAs are highly modular nanoscale assemblies defined by a dense, upright radial arrangement of oligonucleotides around a liposomal core. Herein, we establish a set of L-SNA design rules by studying the biological and immunological properties of L-SNAs as a function of liposome composition. To achieve this, we synthesized liposomes where the lipidphosphatidylcholine headgroup was held constant, while the diacyl lipid tail chain length and degree of saturation were varied, using either 1,2-dioleylphosphatidylcholine (DOPC), 1,2-dimyristoyl-phosphatidylcholine (DMPC), 1,2-dipalmitoylphosphatidylcholine (DPPC), or 1,2-distearoyl-phosphatidylcholine (DSPC). These studies show that the identity of the constituent lipid dictates the DNA loading, cellular uptake, serum stability, in vitro immunostimulatory activity, and in vivo lymph node accumulation of the L-SNA. Furthermore, in the 4T1 mouse model of triple-negative breast cancer (TNBC), the subcutaneous administration of immunostimulatory L-SNAs synthesized with DPPC significantly decreases the production of lung metastases and delays tumor growth as compared to L-SNAs synthesized using DOPC, due to the enhanced stability of L-SNAs synthesized with DPPC over those synthesized with DOPC. Moreover, the inclusion of cell lysates derived from Py8119 TNBC cells as antigen sources in L-SNAs leads to a significant increase in antitumor efficacy in the Py8119 model when lysates are encapsulated in the cores of L-SNAs synthesized with DPPC rather than DOPC, presumably due to increased codelivery of adjuvant and antigen to dendritic cells in vivo. This difference is further amplified when using lysates from oxidized Py8119 cells as a more potent antigen source, revealing synergy between the lysate preparation method and liposome composition in synthesizing immunotherapeutic L-SNAs. Together, this work shows that the biological properties and immunomodulatory activity of L-SNAs can be modulated by exchanging liposome components, providing another handle for the rational design of nanoscale immunotherapeutics.
Regarded as one of the more
successful biomolecule packing systems to date,[1] liposomes are useful in a wide variety of biomedical applications,
including drug delivery,[2,3] biosensing,[4,5] diagnostics,[6,7] gene delivery,[8] and immunomodulation.[9−13] The chemical composition of liposomes determines their performance
in biological systems.[14] Indeed, it has
been well-established that the phase transition temperature (TC) of the constituent lipids dictates the phospholipid
bilayer membrane fluidity, which heavily influences the liposome’s
biological properties, including permeability and lipid exchange.[15] The TC of a phospholipid
is determined by the chemical identity and charge of the hydrophilic
headgroup as well as the chain length and degree of saturation of
the diacyl lipid tail.[16] At temperatures
at or below the TC, liposomes exist in
a gel phase, where lipid exchange is limited and membrane fluidity
is low. At temperatures exceeding the TC, liposomes exist in a liquid-crystalline phase, where the membrane
is more fluid and the dynamics of lipid exchange are increased. In
general, the TC increases as the diacyl
lipid chain length increases, due to increased van der Waals forces
between the acyl chains.[17] However, introducing
double bonds into the diacyl lipid tail decreases the TC, as the packing of the hydrophobic chains is disrupted
by structural kinks introduced by the unsaturated bonds.[18] Together, these subtle changes to the chemical
structure of the individual lipid components dictate the supramolecular
properties of the liposome and are important to consider when designing
liposome-scaffolded materials.Because of their biocompatibility,
modularity, and favorable physical
properties,[1,19−23] liposomes are attractive scaffolds for synthesizing
spherical nucleic acids (SNAs). SNAs are a unique class of nucleic
acid defined by the dense, highly oriented arrangement of oligonucleotides
around a nanoparticle core.[11,24−28] SNAs exhibit markedly different biological properties from their
linear nucleic acid analogues,[24] including
rapid cellular uptake without the need for transfection reagents.[25] Liposomal SNAs (L-SNAs, Figure a) are synthesized by embedding oligonucleotides
that have been functionalized with lipophilic moieties (e.g., cholesterol) into the outer membrane of a liposome’s phospholipid
bilayer.[11,27,29−31] Diverse L-SNA constructs with tunable properties can be rapidly
generated by changing the lipophilic oligonucleotide anchor[11,32] or altering the sequence, backbone, and surface density of the oligonucleotide.[33]
Figure 1
Liposomal SNA (L-SNA) design parameters. (a) Schematic
representation
of the L-SNA, wherein DNA (green) is embedded into the outer phospholipid
membrane of a liposome core using a hydrophobic DNA anchor (depicted
in red). The modularity of the L-SNA architecture allows for the rapid
generation of diverse constructs by using different phospholipids.
(b) Chemical structure and phase transition temperature (TC) of the phospholipids used in the synthesis of the L-SNAs
employed in these studies.
Liposomal SNA (L-SNA) design parameters. (a) Schematic
representation
of the L-SNA, wherein DNA (green) is embedded into the outer phospholipid
membrane of a liposome core using a hydrophobic DNA anchor (depicted
in red). The modularity of the L-SNA architecture allows for the rapid
generation of diverse constructs by using different phospholipids.
(b) Chemical structure and phase transition temperature (TC) of the phospholipids used in the synthesis of the L-SNAs
employed in these studies.When comprised of immunostimulatory oligonucleotides (CpG-1826),
L-SNAs function as potent cancer immunotherapeutics.[9,10] Prior research has revealed that the identity of the lipophilic
moiety used to embed DNA into the liposomal membrane changes the stability
of the L-SNA, which in turn alters the biological and immunological
properties of the material.[11] Moreover,
when incorporating tumor-associated antigens (TAAs) into the L-SNA,
the nanoscale arrangement and attachment chemistry of immunomodulatory
components on the scaffold can be used to modulate the kinetics of
antigen presentation and costimulatory marker expression, which dictate
their antitumor efficacy.[10,28] For cancers without
identified TAAs, L-SNAs have been used to encapsulate tumor cell lysates
as potent antigen sources.[9] In mouse models
of triple-negative breast cancer (TNBC), it has been found that the
process by which lysates are generated prior to L-SNA incorporation
changes the available antigen pool, which impacts the immunotherapeutic
potency of the construct.Herein, we sought to determine whether
the molecular identity of
the lipids comprising L-SNAs could be used as an additional handle
for controlling their biological properties and immunotherapeutic
function. Toward this end, we synthesized a series of L-SNAs using
liposomes comprised of lipids with varying TC. In this approach, the hydrophilic headgroup of the phospholipids
remained unchanged, while the chemical identity of the hydrophobic
acyl chains was systematically varied (Figure b). In this way, the surface chemistry remained
the same, but the bilayer composition differed. We evaluated the resulting
L-SNAs for their in vitro serum stability, cellular
uptake, immune cell activation, and immunotherapeutic function in
orthotopic syngeneic mouse models of TNBC. Through these analyses,
we determined that the liposome scaffold composition regulates the
biological and immunological properties of L-SNAs; namely, the more
stable the L-SNA, the better the in vivo performance.
Significant antitumor efficacy and inhibition of lung metastasis formation
was observed in the 4T1 model of TNBC when animals were administered
L-SNAs synthesized using lipids with higher TC values, indicating that liposome stability governs L-SNA
efficacy in this model. Moreover, the inclusion of cell lysates from
Py8119 TNBC cells into the core of L-SNAs synthesized from lipids
that support higher TCs significantly
increased the resultant antitumor efficacy in the Py8119 model, likely
due to higher codelivery of immunotherapeutic components to dendritic
cells in vivo by the more stable L-SNA scaffold.
This trend became more pronounced when lysates from oxidized Py8119
cells were utilized as the antigen source, indicating that the lysate
preparation method and L-SNA stability are additive contributors.
Together, these results indicate that L-SNA stability can be modulated
by exchanging the lipid components and that the most potent constructs
are those synthesized using the most stable liposome scaffolds.
Results
and Discussion
To assess the effect of liposome composition
on the properties
of L-SNAs, 80 nm liposomes comprised of lipids with varying TC (Figure b) were synthesized using 1,2-dioleylphosphatidylcholine
(DOPC, TC = −17 °C), 1,2-dimyristoyl-phosphatidylcholine
(DMPC, TC = 24 °C), 1,2-dipalmitoylphosphatidylcholine
(DPPC, TC = 41 °C), or 1,2-distearoyl-
phosphatidylcholine (DSPC, TC = 55 °C).[16] Following overnight incubation with DNA that
is doubly functionalized with cholesterol and Cy5 (Table S1, entry 1) at T > TC for all lipids, colloidally stable L-SNAs formed from
all liposome scaffolds. The maximum DNA loading per particle was observed
for L-SNAs synthesized with DOPC, as evidenced by the absence of free
unincorporated DNA by gel electrophoresis at the highest liposome
to DNA ratio (Figure ). We hypothesize that this is because cholesterol is more readily
intercalated into the membrane bilayer of DOPC-based liposomes than
those comprised of fully saturated phospholipids, due to conformational
rearrangement of lipids in the liquid-crystalline phase.[34,35] Indeed, the maximum DNA loading per particle was reduced in L-SNAs
comprised of lipids with higher TC values
(i.e., DMPC, DPPC, and DSPC), as evidenced by the
presence of free DNA at loadings exceeding 150 strands per particle
(0.31 pmol/cm2, Figure ). This is presumably due to decreased membrane fluidity
of liposomes comprised of lipids with higher TC.[35] Dynamic light scattering (DLS)
analysis confirmed that the L-SNA hydrodynamic diameter was identical
regardless of core composition (Table S2).
Figure 2
DNA loading capacity of various liposome scaffolds. The DNA loading
onto liposomes was assessed using native gel electrophoresis and Cy5-labeled
DNA. L-SNAs can be successfully formed using liposomes comprised of
all phospholipids tested (DOPC, DMPC, DPPC, and DSPC) at DNA loadings
of up to 100 strands per particle, as evidenced by the reduction in
DNA mobility without the presence of unincorporated DNA, following
incubation of cholesterol-functionalized, Cy5-labeled DNA with liposomes
at T > TC for all
constructs.
DNA loading capacity of various liposome scaffolds. The DNA loading
onto liposomes was assessed using native gel electrophoresis and Cy5-labeled
DNA. L-SNAs can be successfully formed using liposomes comprised of
all phospholipids tested (DOPC, DMPC, DPPC, and DSPC) at DNA loadings
of up to 100 strands per particle, as evidenced by the reduction in
DNA mobility without the presence of unincorporated DNA, following
incubation of cholesterol-functionalized, Cy5-labeled DNA with liposomes
at T > TC for all
constructs.To evaluate the DNA dissociation
from the L-SNA scaffold in biological
media, L-SNAs were synthesized using liposomes containing 1% rhodamine-labeled
lipids (Figure S1) and DNA doubly functionalized
with cholesterol and Cy5 (Table S1, entry
1). On the L-SNA scaffold, Cy5 and rhodamine are within the radius
required for Förster resonance energy transfer (FRET), with
the FRET signal indicative of the presence of intact L-SNAs. FRET-capable
L-SNAs were incubated in 10% fetal bovine serum (FBS) at 37 °C,
and their stability was evaluated as a function of the decrease in
FRET signal over time (Figure S2). To account
for any potential variations in dye incorporation per particle and
to normalize the data for comparison, the apparent rate constant, k, was calculated for each L-SNA using a one-phase exponential
decay equation (Figure S2) to determine
the initial rate of FRET decrease. The calculated k values of the L-SNAs decrease as a function of increasing TC (Figure a), indicating that the DNA dissociation rate is slower
in higher-TCL-SNAs, and that these L-SNAs
are more stable. Indeed, the initial rate of FRET decay for L-SNAs
synthesized with DSPC was determined to be approximately 60% lower
than those synthesized with DOPC at 37 °C. Importantly, the trends
in the rate of DNA dissociation from the SNA scaffold as a function
of TC become more pronounced at increased
temperatures (Figure S3). The rate of DNA
dissociation from L-SNAs synthesized with DSPC is ∼95% lower
than L-SNAs synthesized from DOPC when serum stability is assessed
at 65 °C. Moreover, the differences in the DNA dissociation rate
become negligible when L-SNAs are incubated at 20 °C (Figure S4), due to decreased membrane fluidity
of all L-SNA constructs.
Figure 3
In vitro serum stability, cellular
uptake, and
immune activation by L-SNAs. (a) Plot of the initial rate of decay, k, as a function of decrease in FRET signal over time. Changing
the liposome scaffold from DOPC to one comprising phospholipids of
higher TC significantly decreases the
rate of DNA dissociation from L-SNAs, thus increasing the stability
of the overall construct. (b) Cellular uptake of L-SNAs by DCs as
a function of liposome scaffold. Uptake is significantly increased
by synthesizing L-SNAs from all higher-TC lipids. (c) DC activation as a function of L-SNA composition. Changing
the liposome scaffold from DOPC to one comprising phospholipids of
higher TC significantly increases the
observed expression of CD86. Statistical analysis was performed using
an unpaired t test, where “**” represents
a p value of <0.01, “***” represents
a p value of <0.001, and “****”
represents a p value of <0.0001. Error bars represent
standard deviations. MFI represents median fluorescence intensity.
In vitro serum stability, cellular
uptake, and
immune activation by L-SNAs. (a) Plot of the initial rate of decay, k, as a function of decrease in FRET signal over time. Changing
the liposome scaffold from DOPC to one comprising phospholipids of
higher TC significantly decreases the
rate of DNA dissociation from L-SNAs, thus increasing the stability
of the overall construct. (b) Cellular uptake of L-SNAs by DCs as
a function of liposome scaffold. Uptake is significantly increased
by synthesizing L-SNAs from all higher-TC lipids. (c) DC activation as a function of L-SNA composition. Changing
the liposome scaffold from DOPC to one comprising phospholipids of
higher TC significantly increases the
observed expression of CD86. Statistical analysis was performed using
an unpaired t test, where “**” represents
a p value of <0.01, “***” represents
a p value of <0.001, and “****”
represents a p value of <0.0001. Error bars represent
standard deviations. MFI represents median fluorescence intensity.To correlate the in vitro serum
stability with
biological outcomes, the cellular uptake of all L-SNAs by primary
immune cells was evaluated as a function of liposome scaffold. Increased
cellular uptake as a function of TC was
observed in bone-marrow-derived dendritic cells (DCs), with an overall
upward trend between TC and cellular uptake,
showing an approximately 80% increase in uptake of L-SNAs comprised
of DSPC as compared to DOPC (Figure b). Intriguingly, the cellular uptake by DCs was consistently
highest for L-SNAs synthesized from DPPC in biological replicates
(n = 3). We hypothesize that this is because the TC of DPPC (41 °C) is close to the incubation
temperature used for these assays (37 °C), and it is known that
liposomes become increasingly permeable at temperatures close to the TC,[36] thus allowing
for increased L-SNA membrane flexibility and greater association with
cell surfaces.The effect of L-SNA composition on downstream
biological processes
was assessed via in vitro DC activation, as these
cells are functional antigen-presenting cells and have been shown
to be efficiently activated by immunostimulatory L-SNAs.[10,12,31,37] L-SNAs were synthesized using immunostimulatory oligonucleotides
(CpG-1826)[38] functionalized with cholesterol
(Table S1, entry 2) and liposomes comprised
of DOPC, DMPC, DPPC, or DSPC. Following incubation with L-SNAs, DC
activation was evaluated as a function of CD86 expression, which is
a surface protein present on mature immune cells that promotes T cell
differentiation and survival.[39] A dramatic
increase in immune activation was observed when DCs were incubated
with the more stable L-SNAs (Figure c), revealing a 6.5-fold increase in CD86 expression
by L-SNAs synthesized with DSPC, as compared to those synthesized
with DOPC. Consistent with the cellular uptake trends observed in
DCs, L-SNAs comprised of DPPC induced the highest expression of CD86,
resulting in a nearly 10-fold increase in CD86 expression as compared
to L-SNAs comprised of DOPC (Table S3).Because immunostimulatory L-SNAs synthesized with DPPC (henceforth
referred to as “DPPC-SNAs”) showed the highest in vitro stability, uptake, and CD86 expression, the immune
uptake and responses generated by this construct were more comprehensively
analyzed and compared to the standard L-SNA construct, which is synthesized
with DOPC (henceforth referred to as “DOPC-SNA”). DPPC-SNAs
were consistently taken up to a greater extent by DCs than DOPC-SNAs
at all time points analyzed (Figure S5).
In addition, DPPC-SNAs showed increased immune activation over DOPC-SNAs,
as measured by the expression of surface proteins CD80 and MHC-II
(Figure S6) and the secretion of the cytokine
TNF-α (Figure S7) following 24 h
of incubation.To determine whether superior in vitro DC uptake
correlates with higher in vivo lymph node targeting,
the accumulation of DPPC-SNAs in the lymph nodes was compared to that
of DOPC-SNAs as a function of time. To achieve this, healthy mice
were administered fluorophore-labeled SNAs via subcutaneous injection
at a dose of 2.5 nmol of DNA per construct (n = 3).
The lymph node accumulation of DPPC-SNAs was 4-fold higher than DOPC-SNAs
at 2 h postinjection (Figure S8), while
the concentration was equivalent at 24 h postinjection (Figure S9). Together, this indicates that DPPC-SNAs
are shuttled more rapidly to the lymph nodes in vivo, without a loss in long-term retention.The administration
of CpG-1826 in the 4T1 model of TNBC can suppress
the spontaneous formation of lung metastases, as a form of “adjuvant-only”
immunotherapy.[40,41] Thus, to evaluate whether L-SNA
stability and in vitro immunostimulatory activity
correlated with in vivo outcomes, the activity of
DOPC-SNAs was compared to DPPC-SNAs in the 4T1 mouse model (Figure ). Mice bearing 4T1
tumors were peritumorally administered DOPC-SNAs and DPPC-SNAs via
subcutaneous injection at a dose of 5 nmol of CpG-1826 on days 6,
10, and 15 postinoculation (n = 4 per group). As
a negative control, an additional set of animals (n = 4) was administered saline. At day 28 of the study, animals were
sacrificed, lungs were perfused per literature protocol,[42] and the number of lung nodules was counted.
DPPC-SNAs significantly inhibited the formation of lung metastases
(Figure a,b), whereas
DOPC-SNAs were ineffective. Interestingly, this trend held when evaluating
primary tumor growth (Figure c,d), with DPPC-SNAs significantly suppressing tumor growth,
while DOPC-SNAs had no effect on primary tumor growth throughout the
duration of the study. Consistent with in vitro results
(vide supra), L-SNA potency in the 4T1 model directly
correlates with liposome stability.
Figure 4
In vivo antimetastic
and antitumor activity of
L-SNAs in the 4T1 TNBC model. (a) Lung metastasis production, as measured
by the number of lung nodules identified at day 28 in the study, following
administration of saline (gray bar), DOPC-SNAs (blue bar), or DPPC-SNAs
(pink bar). White dots represent individual animals in each group.
(b) Representative photos of lungs excised from each group. (c) Primary
tumor growth in the 4T1 model following administration of saline (gray
diamonds), DOPC-SNAs (blue square), or DPPC-SNAs (pink circle). Error
bars represent standard errors of the mean. (d) Comparison of tumor
volume between treatment groups at day 28 in the study. White dots
represent individual animals in each group. Statistical analysis was
performed using an unpaired t test, where “*”
represents a p value of <0.05, and “ns”
represents a p value of >0.05.
In vivo antimetastic
and antitumor activity of
L-SNAs in the 4T1 TNBC model. (a) Lung metastasis production, as measured
by the number of lung nodules identified at day 28 in the study, following
administration of saline (gray bar), DOPC-SNAs (blue bar), or DPPC-SNAs
(pink bar). White dots represent individual animals in each group.
(b) Representative photos of lungs excised from each group. (c) Primary
tumor growth in the 4T1 model following administration of saline (gray
diamonds), DOPC-SNAs (blue square), or DPPC-SNAs (pink circle). Error
bars represent standard errors of the mean. (d) Comparison of tumor
volume between treatment groups at day 28 in the study. White dots
represent individual animals in each group. Statistical analysis was
performed using an unpaired t test, where “*”
represents a p value of <0.05, and “ns”
represents a p value of >0.05.To evaluate whether the observed differences in L-SNA activity
were tumor-model-dependent, the antitumor activity of L-SNAs in the
Py8119 model of TNBC was also evaluated. Unsurprisingly, administration
of DPPC-SNAs and DOPC-SNAs as “adjuvant-only” immunotherapeutics
was ineffective in this model (Figure a), as immunostimulation alone is often insufficient
at raising an antitumor immune response,[41] with a few notable exceptions that include the aforementioned 4T1
model. Since no common TAAs have been identified for TNBC, lysates
from Py8119 cells were generated and then utilized as antigen sources.
These lysates were encapsulated into L-SNAs comprised of DOPC (DOPC-Lys-SNAs)
or DPPC (DPPC-Lys-SNAs). The antitumor efficacy of both constructs
was compared in vivo following L-SNA administration
at days 6, 10, and 15 at a dose of 5 nmol of CpG-1826 and 10 μg
of lysate. Excitingly, there was a ∼60% reduction in tumor
growth when DPPC-Lys-SNAs were administered, as compared to when saline
was administered to animals. Conversely, there was no difference in
tumor growth when DOPC-Lys-SNAs were administered to animals (Figure b), again showing
the dependence of antitumor efficacy on L-SNA stability.
Figure 5
In
vivo antitumor activity of L-SNAs in the Py8119
TNBC model. (a) Antitumor efficacy of “adjuvant-only”
L-SNAs as a function of liposome stability, following administration
of saline (gray triangle), DOPC-SNAs (blue square), or DPPC-SNAs (pink
circle). (b) Antitumor efficacy of L-SNAs encapsulating Py8119 lysates
as a function of liposome stability. Animals were administered saline
(gray triangle), DOPC-Lys-SNAs (blue square), or DPPC-Lys-SNAs (pink
circle). (c) Antitumor efficacy of L-SNAs encapsulating oxidized Py8119
lysates as a function of liposome stability. Animals were administered
saline (gray triangle), DOPC-OxLys-SNAs (blue square), or DPPC-OxLys-SNAs
(pink circle). (d) Comparison of tumor volume between DPPC-containing
treatment groups at day 28 in the study. White dots represent individual
animals in each group. Error bars represent standard errors of the
mean. Statistical analysis was performed using an unpaired t test, where “*” represents a p value of <0.05, “**” represents a p value of <0.01, and “***” represents a p value of <0.001.
In
vivo antitumor activity of L-SNAs in the Py8119
TNBC model. (a) Antitumor efficacy of “adjuvant-only”
L-SNAs as a function of liposome stability, following administration
of saline (gray triangle), DOPC-SNAs (blue square), or DPPC-SNAs (pink
circle). (b) Antitumor efficacy of L-SNAs encapsulating Py8119 lysates
as a function of liposome stability. Animals were administered saline
(gray triangle), DOPC-Lys-SNAs (blue square), or DPPC-Lys-SNAs (pink
circle). (c) Antitumor efficacy of L-SNAs encapsulating oxidized Py8119
lysates as a function of liposome stability. Animals were administered
saline (gray triangle), DOPC-OxLys-SNAs (blue square), or DPPC-OxLys-SNAs
(pink circle). (d) Comparison of tumor volume between DPPC-containing
treatment groups at day 28 in the study. White dots represent individual
animals in each group. Error bars represent standard errors of the
mean. Statistical analysis was performed using an unpaired t test, where “*” represents a p value of <0.05, “**” represents a p value of <0.01, and “***” represents a p value of <0.001.Oxidizing cancer cells prior to lysate generation often increases
their immunogenicity,[43−45] and incorporating oxidized lysates into the core
of L-SNAs leads to dramatic increases in the antitumor efficacy in
mouse models of TNBC.[9] Therefore, to determine
whether the effects of tumor cell oxidation and L-SNA stability were
additive, L-SNAs containing lysates from oxidized Py8119 cells were
synthesized using DOPC (DOPC-OxLys-SNAs) and DPPC (DPPC-OxLys-SNAs).
Strikingly, DPPC-OxLys-SNAs significantly suppressed tumor growth
over the duration of the study (Figure c), while DOPC-OxLys-SNAs were ineffective at these
doses of DNA and lysate. Collectively, these data indicate that the
effects of the lysate preparation method and L-SNA stability are synergistic,
a trend which becomes clearer when the study end point for all DPPC-based
L-SNAs is compared (Figure d). While DPPC-SNAs are ineffective at reducing tumor growth
in the Py8119 model, the inclusion of lysates into the L-SNA (DPPC-Lys-SNAs)
renders these materials effective, and maximum antitumor efficacy
is observed when lysates from oxidized cells are used as the antigen
sources (DPPC-OxLys-SNAs), revealing the importance of both the antigen
processing method and liposome stability in these constructs.
Conclusions
Synthesizing L-SNAs from liposomes comprised of lipids with identical
phosphatidylcholine headgroups, but a varied diacyl lipid tail, allows
for single-variable analysis of biological properties. Through these
studies, we have determined that the serum stability, cellular uptake,
immune activation, and antitumor activity of L-SNAs can be augmented
by using liposome scaffolds comprised of lipids with higher TC values while keeping the nanoparticle size
and surface chemistry identical. The dynamics of lipid exchange in
liposomes is a function of membrane fluidity, which decreases as TC increases. Thus, synthesizing L-SNAs from
lipids with higher TC produces structures
whose dynamics of lipid exchange are slower. In turn, the rate of
DNA dissociation from the L-SNA scaffold is significantly decreased
when SNAs are synthesized from lipids with higher TC, leading to greater interactions between the oligonucleotides
and liposome core and an overall increased structural stability. Because
the L-SNA architecture drives its biological properties, prolonged
preservation of this structure in biological media likely leads to
the observed enhancements in cellular uptake, immune cell activation,
and in vivo lymph node accumulation. These results
indicate that the biological interactions of nanomaterials are not
solely determined by nanoscale size and surface chemistry but rather
that the chemical identity of the components of noncovalent assemblies
also plays a substantial role.We have previously shown that
seemingly small chemical and structural
changes to the L-SNA platform can have profound impacts on resulting
SNA biological properties and functions. For example, changing the
chemistry used to anchor DNA into the L-SNA affects the in
vitro serum stability, immune activation, and in
vivo tissue distribution due to differences in L-SNA stability.[11,32] Moreover, altering the chemical bond that releases peptide antigens
from immunostimulatory L-SNAs enhances immune activation,[31] and modifying the chemical composition and structural
arrangement of antigenic cargo within immunostimulatory L-SNAs dramatically
affects downstream antitumor efficacy because of differences in signaling
kinetics.[9,10] In line with these findings, we now show
that the composition of the liposomal core can be used to modulate
the biological properties of L-SNAs, providing another tunable handle
in their rational design as immunotherapeutics.In the 4T1 TNBC
mouse model, administration of immunostimulatory
L-SNAs synthesized with DPPC significantly decreased tumor growth
and lung metastasis formation, as compared to L-SNAs synthesized with
DOPC, indicating that more stable L-SNA constructs are required for
maximal immunostimulation in vivo. Moreover, in TNBC
models where “adjuvant-only” therapy is ineffective,
the inclusion of tumor cell lysates in the core of the L-SNAs reveals
a significant dependence on L-SNA composition with respect to antitumor
efficacy, where structural stability determines potency. In the Py8119mouse model, lysates encapsulated in L-SNAs synthesized with DPPC
were more effective than their DOPC analogues at stalling tumor growth;
a trend that became more pronounced when incorporating lysates from
oxidized Py8119 cells into the L-SNA scaffold, revealing synergy between
the lysate incorporation method and L-SNA stability.Taken together,
this work convincingly shows that seemingly subtle
changes to the chemical structure of nanoscale immunotherapeutics
can profoundly impact their performance and that liposome stability
can be used as a variable to control the biological properties of
L-SNAs. These results have important implications for the development
of therapeutic L-SNAs that extend beyond cancer immunotherapy. For
example, in applications where SNAs are systemically administered
(e.g., gene regulation), L-SNAs synthesized using
high-TC lipids may maximize the serum
stability and blood circulation. Furthermore, in applications where
high stability is not advantageous, such as those where encapsulated
cargo needs to be released from the core of the L-SNA following cellular
uptake,[9,46] L-SNAs with intermediate stability may be
the most useful. Therefore, it is critical to carefully consider the
liposome scaffold when designing both L-SNAs, as well as other liposome-based
nanoparticle systems, for biomedical applications.
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