An IL-12-Based Nanocytokine Safely Potentiates Anticancer Immunity Through Spatiotemporal Control Of Inflammation To Eradicate Advanced Cold Tumors
Dec 08, 2023
Treatment of immunologically cold tumors is a major challenge for immune checkpoint inhibitors (ICIs). Interleukin 12 (IL-12) can invigorate ICIs against cold tumors by establishing robust antitumor immunity. However, its toxicity and systemic induction of counteracting immunosuppressive signals have hindered translation. Here, IL-12 activity is spatiotemporally controlled for safely boosting efficacy without the stimulation of interfering immune responses by generating a nano cytokine that remains inactive at physiological pH but unleashes its full activity at acidic tumor pH. The IL-12-based nano cytokine (Nano-IL-12) accumulates and releases IL-12 in tumor tissues, eliciting localized antitumoral inflammation, while preventing a systemic immune response, counteractive immune reactions, and adverse toxicities even after repeated intravenous administration. The Nano-IL-12-mediated spatiotemporal control of inflammation prompts superior anticancer efficacy and synergizes with ICIs to profoundly inflame the tumor microenvironment and completely eradicate ICI-resistant primary and metastatic tumors. The strategy could be a promising approach toward safer and more effective immunotherapies.

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1. Introduction
Immune checkpoint inhibitors (ICIs), such as anti-PD-1 (nivolumab) and anti-CTLA- 4 (ipilimumab) antibodies, have revolutionized cancer therapy.[1,2] However, a large number of patients still do not benefit from these treatments.[3] Such deficient response has been associated with a cold tumor phenotype that is insensitive to ICIs.[4,5] These cold tumors usually present an immunosuppressive microenvironment and low levels of T-cell infiltration that weakens the effects of the ICIs.[5–7] Thus, there is an urgent need for agents to shift the tumor from the cold phenotype into an inflamed (hot) phenotype with high T-cell infiltration toward enhancing the efficacy of ICIs and expanding the therapeutic landscape. Interleukin-12 (IL-12), which is among the strongest proinflammatory cytokines, has a high potential for boosting antitumor immunity and overcoming ICI resistance.[8–10] However, IL-12 induces severe immune-related adverse events (irAEs) when systemically injected.[8,10] Thus, a variety of protein engineering approaches, including immune cytokines,[11–13] fusion proteins,[14] and protease-sensitive cytokines,[15] are under intense investigation for improving the safety of IL-12 by reducing systemic exposure and enhancing tumor selectivity. On the other hand, IL-12 still presents critical drawbacks related to the spatiotemporal dynamics of the inflammation that lead to counteractive immune reactions undermining its efficacy.[16–19] For example, repeated IL-12 injection promoted the systemic expansion of antiinflammatory interleukin-10 (IL-10) in patients, which limited the anti-tumor efficacy.[20–22] In this regard, developing systems capable of spatiotemporally controlling the IL-12-mediated inflammation could maximize the effector functions and stimulate robust antitumor immunity, while avoiding interfering immune reactions. Unfortunately, the inflammatory dynamics for the abovementioned protein-engineered systems are not fully understood, and their association with counteracting secondary responses remains to be clarified. Herein, we developed stimuli-responsive nanoscaled cytokines (nano cytokines) by encapsulating native IL-12 with biocompatible polymers to attain spatiotemporal control of its activity. The IL-12-based nano cytokines (Nano-IL-12) were designed to unleash the fully active IL-12 after sensing the acidic intratumoral pH, as acidosis is a hallmark of cancer[23] and is linked with immunosuppression.[24,25] In fact, we have recently found that the pH-switchable function can allow high and selective activation in ICI-resistant tumors.[26] The pharmacokinetics, safety, and efficacy of the Nano-IL-12 were evaluated in murine models of cold melanoma and breast cancer. Our results showed that NanoIL-12 induces a sustained inflammatory reaction in tumor tissues by increasing the intensity and duration of the exposure to IL-12 while avoiding the interaction with the immune cells in healthy tissues to suppress the off-target immune response. Thus, Nano-IL-12 effectively blocked counteracting secondary reactions both systemically and intratumorally, showing efficacy at doses that are 10-fold lower than native IL-12. The enhanced antitumor immunity of Nano-IL-12 safely synergized with ICIs to intensely inflame the tumor microenvironment (TME), leading to complete responses (CR) in ICI-resistant models of melanoma, and primary and lung metastasis of triple-negative breast cancer (TNBC).

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2. Results
2.1. Nano-IL-12 Senses Intratumoral pH to Release Fully Active Cytokine
To construct the Nano-IL-12, we synthesized carboxydimethylmaleic anhydride (CDM)-modified poly(ethylene glycol)-poly(LLysine) (PEG-pLL(CDM)) through the reported method[27] (Scheme S1, Supporting Information). The polymer has half of the amino groups in the pLL block conjugated with CDM through the amide linkage (Figures S1–S3, Supporting Information). The Nano-IL-12 are formed just by mixing the polymer with the cytokine in aqueous conditions without the addition of organic solvents (Figure 1a). The amino groups in the polymer form ion complexes with the carboxylate moieties in the proteins, while the CDM groups react with the amino groups in IL-12 as well as in the polymer strands to form pH-sensitive amide bonds. The encapsulation efficiency of IL-12 in the nanocytokines was determined to be around 80%, as measured by HPLC by comparing the areas of the peaks of Alexa Fluor 647 (A647)-labeled free IL-12 and the IL-12 loaded in the nanocytokine (Figure 1b). In the case of non-fluorescence labeled IL-12, the encapsulation efficiency was validated by ELISA measurement, since the ELISA method can only detect the unencapsulated free IL-12 in the reacted mixture because the polymer coating of Nano-IL-12 blocks the recognition of the loaded IL-12 with the detection antibody. Thus, by calculating the ratio of the unencapsulated IL-12 versus the total IL-12 feed, the encapsulation efficiency was also determined to be around 80% (Figure S4a, Supporting Information), consistent with the result from the HPLC measurements. The NanoIL-12 was purified by centrifugal filtration to remove free IL-12 and relatively small polymer-IL-12 conjugates (Figure S4b, Supporting Information). The purification was confirmed by HPLC (Figure 1b, lower panel). The formation of the polymeric shield on Nano-IL-12 was confirmed by transmission electron microscopy (TEM) and dynamic light scattering (DLS). In TEM, the IL-12-loaded core of the NanoIL-12 formed by the pLL block of the polymer and IL-12 were stained by uranyl acetate[28] and visualized as uniform black dots with an average diameter at 23.2 ± 4 nm (Figure 1c,d). By DLS, the hydrodynamic diameter of the Nano-IL-12 was measured to be 42 ± 2 nm (Figure 1e). By comparing the size measured by TEM and DLS, we can calculate that the thickness of the PEG shell in these particles is approximately 10 nm. This result indicates a dense PEGylation, which would be useful for improving the pharmacokinetics.[29] Moreover, fluorescence correlation spectroscopy (FCS) studies of the A647-labeled Nano-IL-12 confirmed the formation of associates with larger molecular weight than free A647-labeled IL-12 (Table S1, Supporting Information). By comparing the counts per molecule in the FCS measurement of A647-labeled IL-12 and A647-labeled Nano-IL-12 samples, we determined that each Nano-IL-12 contains approximately 1.5 IL-12 molecules on average. In addition, the surface charge of the Nano-IL-12 was found to be close to neutral (Table S2, Supporting Information), suggesting the polymer is shielding the negatively charged IL-12. The amide bonds in the Nano-IL-12 formed between the CDM moieties and primary amines are reported to be pH-sensitive.[30] Thus, the Nano-IL-12 are expected to dissociate under acidic conditions to release the encapsulated cytokine. We first screened the pH-sensitivity of the Nano-IL-12 at various pH values ranging from pH 4.5 to 8.5 by FCS measurement to reflect the dissociation status of the Nano-IL-12 by the change of the diffusion coefficient. The increase of the diffusion coefficient, corresponding to the decrease of the molecular weight of the particles, could be observed under acidic conditions below pH 7.0, suggesting that the Nano-IL-12 are stable at physiological pH, but could lose their integrity in intratumoral lesions with the acidified environment[23,31] (Figure 1f). Next, we investigated the dissociation kinetics of Nano-IL-12 at physiological pH 7.4 and intratumoral pH 6.5 by FCS measurement. The FCS measurement allows precise assessment of the diffusion coefficients of the Nano-IL-12 and the released IL-12. The new result showed the Nano-IL-12 rapidly lost integrity at pH 6.5, and the diffusion coefficient of the sample reached the value of free IL-12 after 4 h incubation, suggesting complete activation of Nano-IL-12 under such conditions. Moreover, at pH 7.4, the Nano-IL-12 were stable (Figure 1g), retaining their diffusion coefficient even after several days (Figure S4c, Supporting Information). These observations support the selective activation of Nano-IL-12 at intratumoral pH conditions and the stability at physiological conditions. Since IL-12 can stimulate the secretion of IFN-𝛾 from splenocytes,[32] the effect of polymer shielding/de-shielding on the bioactivity of Nano-IL-12 was evaluated in vitro by splenocyte assay (Figure 1h). The Nano-IL-12 induced lower levels of IFN- 𝛾 production from murine splenocytes, indicating the blockage of IL-12 bioactivity by the polymer encapsulation. On the other hand, the Nano-IL-12 activated by pre-incubation in acid (pH 6.5) showed similar bioactivity to that of native IL-12, suggesting the activated Nano-IL-12 can fully retrieve the bioactivity of the cytokine.

Figure 1. Nano-IL-12 activates at intratumoral pH to release the fully active cytokine. a) Formation and structure of IL-12-based nanocytokine (Nano-IL- 12). The Nano-IL-12 is self-assembled in aqueous conditions by simply mixing the polymer with IL-12. The assembly is driven by the pH-sensitive amide bonds and electrostatic interactions. b) HPLC results of free IL-12 protein, PEG-pLL(CDM) + IL-12 mixture, and purified Nano-IL-12. The IL-12 proteins are labeled with A647. c) Representative TEM image of purified Nano-IL-12 clearly shows the core structure of the particles. d) Distribution of the particle cores diameter measured from the TEM images. n = 100 particles counted. e) Distribution of the hydrodynamic diameters of Nano-IL-12 measured by DLS. f) pH-dependent Nano-IL-12 disassociation indicated by FCS measurement of Nano-IL-12 incubated under different pH for 24 h. The dotted line at 5.3 × 107 cm2 s−1 refers to the diffusion coefficient of free IL-12. g) IL-12 release profile of Nano-IL-12 measured by the FCS method. The dotted lines at 1.2 × 107 cm2 s−1 and 5.3 × 107 cm2 s−1 refer to the diffusion coefficients of intact Nano-IL-12 and released free IL-12, respectively. h) IFN-𝛾 secretion by murine splenocytes treated with Nano-IL-12, activated Nano-IL-12, and native IL-12. IFN-𝛾 was measured by ELISA. Data are shown as mean ± S.D.; for f and g, n = 3 parallel measurements. For h, n = 5 parallel measurements.
The preservation and stability of the formulation are also important for translating Nano-IL-12 as a drug. Therefore, we developed a lyophilized version of Nano-IL-12 using trehalose as the cryoprotectant.[33] The reconstituted Nano-IL-12 showed comparable size and surface charge with fresh Nano-IL-12, without cargo leakage, and shared comparable pH sensitivity and in vitro IFN-𝛾 inducement capability (Figure S4d–g and Table S2, Supporting Information). These results support the lyophilized formulation as a viable Nano-IL-12 counterpart.

Figure 2. Nano-IL-12 improves pharmacokinetics and anti-tumor efficacy. a) IVCLSM images of the earlobe skin of mice after i.v. injection of 10 μg A647-labeled IL-12 or Nano-IL-12 (red color). Scale bar = 50 μm. Mean fluorescence intensity in the tissue area (white boxes) at 5 h after injection was quantified and normalized to the maximum intensity in the vasculature immediately after injection (Vmax). b) Blood circulation profiles of free IL-12 and Nano-IL-12 after i.v. injection of 10 μg IL-12 or equivalent Nano-IL-12 determined by ELISA. Also, the concentration of released IL-12 from Nano-IL-12 in the blood is plotted (data are shown as mean ± S.D., n = 5 mice per group). c) IVIS image of B16F10 melanoma tumors excised 24 h post i.v. injection of 10 μg IL-12 or equivalent Nano-IL-12 labeled with A647. d) Quantification of the IL-12 level in 4T1 TNBC tumors at 24- and 48 h post i.v. injection of 10 μg IL-12 or equivalent Nano-IL-12 by ELISA (Data are shown as mean ± S.D.; n = 3 mice per group; p values are calculated by one-way ANOVA). e) Anti-tumor activity of a single i.v. injection (injection days are indicated by the arrow (Day 8 for the B16F10 model and Day 7 for the 4T1 model)) of 10 μg IL-12 or equivalent Nano-IL-12. The results in B16F10 melanoma are shown in the upper panel and the results in the 4T1 TNBC are shown in the lower panel. The individual tumor growth curves are shown in the left panels. The average tumor volume curves are shown in the center panels, and the survival curves are shown in the right panel (Data are shown as mean ± SEM; n = 5 mice per group, p values are calculated via log-rank analysis).
2.2. Nano-IL-12 Improves IL-12 Pharmacokinetics and Activates in Tumors to Potentiate Antitumor Effects
The encapsulation into the Nano-IL-12 can improve the pharmacokinetics of IL-12. For visualizing the circulation of Nano-IL-12 upon intravenous (i.v.) injection, in vivo confocal laser scanning microscopy (IVCLSM) was used to track the A647-IL-12-based Nano-IL-12 in the vessels of mouse earlobes after injection from the tail vein. Free IL-12 showed extravasation after injection (Figure 2a), indicated by the increased fluorescence intensity in the tissue interstitium. Considering that macromolecules having a comparable size to IL-12 (75 kDa), such as 70 kDa dextran and albumin (65 kDa), show limited access into the skin,[34] the leakage of IL-12 from vessels suggests the instability of IL-12 during blood circulation. In fact, previous studies have indicated the proteolysis of IL-12 by enzymes present in serum.[35,36] To further support the degradation of IL-12 in our experiments, the stability of A647- labeled IL-12 in mouse plasma was investigated by size exclusion chromatography (SEC). Upon incubation with mouse plasma, we found that IL-12 degraded into fragments with smaller molecular weight (Figure S5, Supporting Information), confirming the instability of IL-12 in blood. On the other hand, the Nano-IL-12 showed minimal leakage into the skin, indicating their stability in blood circulation. The quantified circulation profile measured from the ELISA assay confirmed the overall Nano-IL-12 has longer circulation than free IL-12 (Figure 2b). Meanwhile, the level of activated Nano-IL-12, which was determined by the released IL-12, was highly restricted in blood, indicating the in vivo stability of Nano-IL-12 during systemic circulation, which helps to reduce the systemic side effects. The accumulation of Nano-IL-12 in the heart, spleen, lung, and kidneys was similar to that of free IL-12 at both 24 and 48 h after administration, while in the liver, the accumulation of Nano-IL-12 was higher than that of free IL-12 at 24 h, but comparable at 48 h (Figure S6, Supporting Information). Nano-IL-12 showed significantly higher tumor accumulation than free IL-12 (Figure 2c) at 24 h after injection. Moreover, while free IL-12 was cleared from the tumors at 48 h after injection, the concentration of Nano-IL-12 remained high (around 4-fold higher than free IL-12) (Figure 2d), suggesting Nano-IL-12 increased the area under the concentration curve (AUC) of IL-12 inside the tumors. In line with the elevated accumulation and viable activation in tumors, Nano-IL-12 showed improved antitumoral efficacy over free IL-12 in subcutaneous B16F10 melanoma and orthotopic 4T1 triple-negative breast cancer (TNBC) models (Figure 2e). In both models, just a single i.v. injection of Nano-IL-12 at 10 μg IL-12 equivalent led to a significantly improved inhibition of tumor growth than IL-12, leading to longer survival time. Notably, in the 4T1 TNBC model, which is infamous for its strong immunosuppression and resistance against ICI treatment,[37] the treatment with Nano-IL-12 resulted in a clearly significant therapeutic effect, whereas free IL-12 was futile against tumor growth.
2.3. Nano-IL-12 Spatiotemporally Controlled the Inflammatory Response
To further investigate the difference between the biological effects of Nano-IL-12 and free IL-12, the level of inflammation response evoked from the treatment was evaluated by the cytokine response both in off-target sites, i.e., blood and healthy organs, and in tumors (orthotopic 4T1 model). Four downstream cytokines of IL-12, namely, IFN-𝛾, tumor necrosis factor-𝛼 (TNF-𝛼), interleukin-6 (IL-6), and interleukin-10 (IL-10) were selected as indicators of inflammation response. Among them, IFN-𝛾, TNF- 𝛼, and IL-6 are important proinflammatory cytokines associated with the antitumoral effect of IL-12,[20,38] while IL-10 is an antiinflammatory cytokine, which is a negative feedback antagonizing IL-12 stimulation.[20,39] Nano-IL-12 and free IL-12 were injected two times on Days 0 and 3, and the inflammation response was tracked daily for 1 week. This experimental setting allowed us to determine the effects of both single injection and repeated dosing on the spatiotemporal inflammatory response. The first injection of free IL-12 on Day 0 led to the secretion of the four cytokines in blood and organs, with a peak of plasma concentration observed on Day 2 (Figure 3a–e,g), indicating the strong off-target inflammation associated with the immune-related adverse events (irAEs) of IL-12.[8,10] On the other hand, the first injection of Nano-IL- 12 showed significantly lower cytokine levels than free IL-12 in blood and healthy organs, indicating the regulation of the off-target inflammation response. The second injection of free IL-12 on Day 3 again stimulated the secretion of IFN-𝛾, TNF-𝛼, and IL-6. However, the peak levels of IFN-𝛾 and TNF-𝛼 observed on Day 5 were clearly lower than those observed on Day 2 after the first IL-12 injection. Moreover, the second injection of free IL-12 extremely raised the level of anti-inflammatory IL-10 in plasma, organs, and tumors, which has been associated with the systemic hyper-expansion of Th1 cells to induce a regulatory phase.[40] Such differentiated response induced from repetitive IL-12 treatment has been confirmed in human clinical trials, and it contributes to the reduction of the biological effects of IL-12, including the antitumoral potency.[20] Contrary to IL-12, the second injection of Nano-IL-12 did not exacerbate the secretion of IL-10 in blood and organs. Also, the concentration of the inflammatory cytokines in blood and healthy tissues was significantly lower than that of free IL-12. These results suggest that Nano-IL-12 could not only reduce the systemic inflammatory response but also overcome the limitations of repeated IL-12 administration, which induced the counteractive anti-inflammatory response. In tumors, a single i.v. shot of Nano-IL-12 boosted the production of inflammatory IFN-𝛾, TNF-𝛼 and IL-6, achieving signifi- cantly higher intratumoral concentrations than free IL-12 treatment (Figure 3f,g). Meanwhile, the Nano-IL-12 treatment induced lower anti-inflammatory IL-10 in the tumors than free IL-12, avoiding the onset of counter anti-inflammatory response. Moreover, upon the second injection of Nano-IL-12, the high level of inflammatory cytokines was maintained in the tumors, while the intratumoral IL-10 concentration was kept low. This upregulation of the IFN-𝛾, TNF-𝛼, and IL-6 and downregulation of IL-10 in tumors correlates with the high and sustained intratumoral levels of Nano-IL-12, and support an elevated inflammatory reaction for Nano-IL-12, which is critical for enhancing the antitumoral efficacy.[41]
To test if Nano-IL-12 could improve the efficacy through its spatiotemporal control of inflammation, we repeated the experiment of Figure 2e, but this time we treated the mice with a 10-fold lower dose, i.e., 1 μg of IL-12 equivalent, using a repeated dosing schedule that triggers the counteracting immune response for free IL- 12. Under this recurring low-dose treatment, Nano-IL-12 clearly enhanced the anti-tumor efficacy over IL-12 in 4T1 TNBC tumors (Figure 3h), leading to slower tumor growth and prolonged survival. On the other hand, the free IL-12 treatment showed negligible efficacy even after being intensively injected for six times, which could be attributed to the expansion of anti-inflammatory cytokines like IL-10. These results support the ability of Nano-IL- 12 to potentiate the antitumor efficacy by spatiotemporally controlling inflammation. The control of the inflammatory response also led to enhanced safety. We conducted a histological evaluation and blood analysis to determine the toxicity of IL-12 and Nano-IL-12 after two injections on Days 0 and 3 (Figure S7a,c, Supporting Information). The results showed significantly lower toxicity to the liver, kidney, and pancreas upon Nano-IL-12 treatment compared to free IL-12. Also, the body weight changes during the treatments were tracked as a parameter of toxicity. Nano-IL-12 treated animals slightly gained weight during the treatment, whereas the mice receiving free IL-12 suffered from a weight decrease (Figure S7b, Supporting Information). Thus, these observations indicate that Nano-IL- 12 can preferentially promote the inflammation response in tumors to enhance the antitumoral efficacy while restricting off-target effects in healthy tissues to reduce toxicity and diminish the counteractive anti-inflammatory response.

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2.4. Nano-IL-12 Treatment Induces Antitumoral Immune Cell Infiltration in the TME
IL-12 is also known as a T cell-stimulating factor, as it can stimulate the growth and function of T cells to initiate enhanced antitumoral immune reactions. Thus, we evaluated the infiltration of CD8+ cells in tumors after repeated Nano-IL-12 treatment. Flow cytometry analysis of the B16F10 melanoma treated by two i.v. injections of free IL-12 or Nano-IL-12 at 1 μg IL-12 equivalence/injection showed that Nano-IL-12 significantly enhanced the infiltration of CD8+ T cells in the tumor compared to free IL-12 (Figure 4a). By doing an immune cell depletion experiment in a mouse bearing 4T1 TNBC tumors, we investigated the contribution of different immune cell populations to the response from Nano-IL-12 treatment. Nano-IL-12 were i.v. injected five times on Days 7, 9, 11, 13, and 15 (1 μg IL-12 equivalence/injection). Moreover, the mice were intraperitoneally (i.p.) injected with anti-CD4,anti-CD8, or anti-asiago GM1 antibodies on Days 6, 8, and 10 to deplete CD4+, CD8+, or NK cells respectively. The results showed the depletion of CD8+ cytotoxic T cells, CD4+ T cells, and NK cells significantly decreased the therapeutic efficacy of Nano-IL-12, as indicated by the faster tumor growth and the decreased survival in the depleted groups compared to the mice receiving only the Nano-IL-12 treatment (Figure 4b). This result is consistent with the biological function of IL-12, including enhancing the cytotoxic activity of CD8 T cells[42] and NK cells,[43] and mediating the differentiation of naïve T cells into T helper (Th) cells.[44]
Moreover, the different mitigation efficiency of the antitumor activity resulting from the depletion experiment suggests the relevance of each cell population on the efficacy of Nano-IL-12, with CD8+ cytotoxic T cells being the most important fraction. Immunohistochemistry analysis of 4T1 TNBC tumor sections revealed the spatial distribution of tumor-infiltrating effector cells (Figure 4c). While free IL-12 did not improve the presence of CD8+ cytotoxic T cells and Tbet+ (Th1) cells in the tumors, the Nano-IL-12 promoted high infiltration of both cells to deep tumor regions. Also, the upregulation of Granzyme B in CD8+ Cells suggested a higher activation level of cytotoxic T cells after NanoIL-12 treatment (Figure 4d). Moreover, we observed that Nano-IL-12 treatment elevated the PD-L1 expression in tumors compared to tumors treated with PBS and free IL-12. This increased PD-L1 level could be due to the higher tumor IFN-𝛾 induced by Nano-IL-12, which has been reported to stimulate PD-L1 expression in tumor tissue,[45] serving as a mechanism of immunosuppression to resist lymphocyte infiltration. This intratumoral PD-L1 upregulation suggests the potential to synergize the antitumor efficacy of Nano-IL-12 by combining it with anti-PD-1 or anti-PD-L1 ICIs. Based on the observation above, we investigated the effect of Nano-IL-12 as a monotherapy and in combination with antiPD-1 antibodies on the TME (Figure 4e). The experiment was done in orthotopic TNBC tumors prepared from 4T1 cells expressing hemagglutinin (4T1-HA) since hemagglutinin is a well-defined immunogen, which can induce antigen-specific cytotoxic T-lymphocyte response in a mouse model.[46,47] The mice were twice treated with 10 μg IL-12 or equivalent Nano-IL-12 on Days 0 and 3, and for combination therapy, the mice simultaneously received twice injections of 100 μg anti-PD-1 antibody. On Day 7, the tumor samples were harvested for flow cytometry.
The results confirmed that Nano-IL-12 treatment induced higher infiltration of leukocytes (CD45+) in the tumor than IL-12. The combination of Nano-IL-12 with the anti-PD-1 antibodies also presented higher CD45+ cells in the tumors. Among leukocytes, lymphoid cells and T cells were upregulated by Nano-IL-12 and by the Nano-IL- 12/anti-PD-1antibody combination. The Nano-IL-12 treatment resulted in a modest alteration in the NK cell population but led to significant changes in the T cell subgroup compared to free IL-12. Notably, the infiltration of CD8+ T cells in 4T1-HA tumors was clearly elevated by Nano-IL-12 than free IL-12. Moreover, the HA-tetramer+ T cells, which correspond to the antigen-specific T cells, were significantly increased in Nano-IL-12 plus anti-PD- 1 antibody combination, suggesting the promotion of an adaptive immune response by the synergy of Nano-IL-12 and ICIs. The general CD4+ T cells showed upregulation in the NanoIL-12 treated groups. To further specify the subpopulation of CD4+ T cells in the tumors, we stained the cells with anti-Foxp3 to investigate the regulatory T cells (Tregs). While anti-PD-1 monotherapy did not show any suppression on Tregs in the 4T1- HA tumor model, the combination of Nano-IL-12 plus anti-PD-1 dramatically depleted the Tregs. Moreover, Nano-IL-12 treated tumors presented higher Th cells than free IL-12. These results indicate that Nano-IL-12 treatment enhanced anti-tumor immune cells in filtration and synergized with anti-PD-1 antibodies to surmount the immunosuppressive TME.

Figure 3. Nano-IL-12 spatiotemporally controlled the inflammatory response. a) Proinflammatory (IFN-𝛾, TNF-𝛼, IL-6) and anti-inflammatory (IL-10) cytokine levels in blood in 4T1-bearing mice injected with 10 μg IL-12 or equivalent Nano-IL-12 twice on Days 0 and 3. The cytokine levels were measured by ELISA. The peak values after the two injections (on Days 2 and 5 for IFN-𝛾, TNF-𝛼, and IL-10; on Days 2 and 6 for IL-6) are visualized as bar graphs on the right panel. b–f) Cytokine levels in the organs and tumors of 4T1-bearing mice injected with 10 μg IL-12 or equivalent Nano-IL-12 twice on Days 0 and 3. The mice were sacrificed on Days 2 and 5 to collect the tissues. (Data are shown as mean ± S.D.; n = 6 mice per group; p values are calculated via unpaired t-test.) g) Heatmaps of the cytokine levels in blood, organs, and tumors from the average values in a-f converted to Z-score. h) Anti-tumor activity of repeated i.v. injection (injected on Days 7, 9, 11, 13, 15, and 25, indicated by arrows) of 1 μg IL-12 or equivalent Nano-IL-12 against murine TNBC. The individual tumor growth curves are shown in the left panel. The average tumor volume curves are shown in the central panel, and the survival curves are shown in the right panel (Data are shown as mean ± SEM; n = 6 mice per group, p values are calculated via log-rank analysis).

Figure 4. The anti-tumor effect of Nano-IL-12 is generated from the enhanced infiltration of effector cells in the TME. a) Flow cytometry analysis of CTLs infiltration in melanoma after Nano-IL-12 treatment. Mice were inoculated with B16F10 cells on Day 0. IL-12 (1 μg) or equivalent Nano-IL-12 were i.v. injected twice on Days 8 and 11. Tumor samples were collected and analyzed on Day 15 (Data shown as mean ± S.D.; n = 5 mice per group; p-values were calculated via one-way ANOVA). b) Antitumor activity of Nano-IL-12 upon depletion of CD4+, CD8+ and NK cells. Mice bearing 4T1 tumors were i.v. injected with Nano-IL-12 (1 μg IL-12 equivalent) on Days 7, 9, 11, 13, and 15. Moreover, the mice were injected with anti-CD4, anti-CD8, and anti-asiago GM1 antibodies on Days 6, 8, and 10. Tumor growth curves (Data are shown as mean ± SEM) and survival curves were recorded (n = 6 mice per group, p values are calculated via log-rank analysis). c) IHC images of 4T1 tumor sections. Mice bearing 4T1 TNBC tumors (average tumor volume: 200 mm3) were twice i.v. injected with PBS, 10 μg IL-12, or equivalent Nano-IL-12 on Days 0 and 3. On Day 7, the mice were sacrificed to collect the tumors. The CD8+, Tbet, or PD-L1+ cells in the tumors are visualized in yellow. The cell nuclei were stained with Hoechst (blue). Scale bar = 1 mm. d) Immunostaining of Granzyme B (green) and CD8 (red) in 4T1 tumor sections. The cell nuclei were stained with Hoechst (blue). Yellow pixels indicate activated CD8+ T cells. Scale bar = 100 μm. e) Analysis of lymphoid cells infiltration in 4T1-HA tumors treated with PBS, anti-PD1 antibodies, IL-12, Nano-IL-12, IL-12 plus anti-PD1 antibodies and Nano-IL-12 plus anti-PD1 antibodies. IL-12 and Nano-IL-12 were i.v. injected at 10 μg on Days 7 and 9 postinoculation. Anti-PD-1 was i.p. injected at 100 μg on Days 8 and 10 postinoculation. On Day 17, mice were sacrificed, and the tumors were homogenized for flow cytometry measurement (Data are shown as mean ± S.D., n = 5 samples per group, p values are calculated via one-way ANOVA).
2.5. Nano-IL-12 Treatment Activates the TME from the Transcription Level to Potentiate ICI Response
We then investigated the activation of the TME of 4T1-HA tumors after the treatments from the gene expression level by transcriptome analysis. Sequencing of the total RNA samples extracted from tumor tissues was conducted after treatment with PBS, anti-PD-1 antibodies, IL-12, Nano-IL-12, and the combinations of the cytokines with ICIs. The heatmap of global gene expression clearly indicated the differentiated gene profiles in tumors receiving Nano-IL-12 and the combination of Nano-IL-12 with anti-PD- 1 (Figure S11, Supporting Information). To specify the affected biological processes by Nano-IL-12 treatment, we analyzed the differentially expressed genes in each group and conducted an enrichment analysis on the upregulated and downregulated genes (Figure 5a,b). Both GOBP and KEGG analysis revealed that, compared with IL-12 and PBS, Nano-IL-12 treatment distinctly upregulated the stimulation of proliferation, differentiation, and functional activation of various effector immune cells, such as T cell proliferation, differentiation of T cells into Th cells, and T cell activation and T cell receptor signaling pathway. Moreover, genes related to PD-L1 expression and PD-1 checkpoint pathway were also found to be upregulated upon Nano-IL-12 treatment. These results support the robust stimulation of NanoIL-12 to T cells observed in the flow cytometry and immunohistology studies. At the same time, genes associated with other immune cells, like monocytes and NK cells, were positively affected by the Nano-IL-12 treatment. Also, cytokine response and other immune processes, like antigen presentation, were upregulated from Nano-IL-12 treatment. On the other hand, Nano-IL-12 downregulated pathways associated with cell division, suggesting that the treatment could suppress the proliferation of tumor cells (Figure S11, Supporting Information). These results indicate the advantages of Nano-IL-12 in activating both the innate and adaptive arms of intratumoral immunity.
Further investigation on the combination therapies revealed that the combination treatment of Nano-IL-12 plus anti-PD-1 antibodies enhanced the intratumoral immunity compared to IL-12 plus anti-PD-1 antibodies or anti-PD-1 monotherapy by stimulating both innate and adaptive immune pathways (Figure 5b and Figure S11c, Supporting Information). Impressively, the NanoIL-12 plus anti-PD-1 antibodies combination resulted in stronger inhibition on the pathways associated with mitosis, inferring this combination could intermediate a stronger killing activity of the infiltrated effector cells against tumor cells. Based on the RNA-seq results, we also analyzed the populations of tumor-infiltrating immune cells (Figure 5c,d). Like the result from flow cytometry, Nano-IL-12 treated groups showed enhanced infiltration of CD8+ T cells. Furthermore, the results also revealed the upregulation of monocytes and granulocytes, confirming the enhanced inflammation in tumors from the boosted innate immune pathways. These results confirmed Nano-IL-12 sets a potent immune response against tumors and the combination with anti-PD-1 can strengthen this process.

Figure 5. Nano-IL-12 treatment enhances immune activation in TME to potentiate anti-PD1 antibodies. a) Volcano plots of the differentially expressed genes in comparison between Nano-IL-12 versus IL-12 and Nano-IL-12 + anti-PD-1 versus IL-12 + anti-PD-1. The plots were obtained from RNA-seq analysis of 4T1-HA tumors treated by different treatments: 10 μg IL-12 and equivalent Nano-IL-12 were i.v. injected on Days 7 and 9 postinoculation. Anti-PD-1 was i.p. injected at 100 μg on Days 8 and 10 postinoculation. On Day 17, mice were sacrificed to collect the tumor samples. b) Enrichment analysis showing the upregulated pathways in the two comparison pairs in a. c) Heatmap of cell populations in the TME determined by RNA-seq. The populations were converted to Z-scores for plotting the figure. d) Histograms of the cell populations showing significant differences in multiple comparisons (Data are shown as mean ± S.D.; for PBS group, n = 5 samples; for other groups, n = 4 samples per group; p values are calculated via one-way ANOVA).
2.6. Nano-IL-12 Synergizes with ICIs to Effectively Eradicate Primary and Metastatic Tumors
To investigate the therapeutic potential of Nano-IL-12 to synergize with ICIs, orthotopic primary TNBC tumors were established in mice by inoculating 4T1 cells to the mammary fat pad. The mice were treated with Nano-IL-12 upon different dose schedules and combination patterns with ICIs to test the antitumoral efficacy of the corresponding treatments. We found that even under a low dose (1 μg IL-12 equivalence/injection), the repeated treatment with Nano-IL-12 exerted a clear anti-tumor activity against primary TNBC tumors as a monotherapy, as shown by the suppression of the tumor growth rate and the prolonged survival (Figure S12, Supporting Information). However, free IL-12 treatment under this dose did not show any efficacy, even when combined with anti-PD-1 therapy. The combination of Nano-IL- 12 with anti-PD-1 further increased the efficacy, and CR was achieved. We then studied a higher Nano-IL-12 dose (10 μg IL-12 equivalence/injection) and combined it with ICI cocktails (antiPD-1 and anti-CTLA4 antibodies) to fulfill the therapeutic potential. Notably, at this dose, the combination therapy of Nano-IL-12 with ICIs stopped the tumor growth and eradicated tumors completely (Figure 6a), with all mice showing CR in this treatment group. Moreover, the cured mice showed resistance against tumor rechallenge with 4T1 cells, supporting the existence of a robust immune memory from the treatment with Nano-IL-12 and ICIs combination therapy.

cistanche plant-increasing immune system
TNBC is known as an aggressive tumor with a high rate of distant metastasis.[48,49] Thus, we next investigated the performance of Nano-IL-12 in a metastatic TNBC model. A spontaneous metastatic TNBC model was established by resection of the primary orthotopic 4T1 tumors, which will lead to the development of metastasis in multiple organs, mainly the lungs.[50] In this model, the combination therapy of Nano-IL-12 with ICIs also revealed satisfactory outcomes, which stopped the progression of lung metastasis (Figure 6b) and led to CR in all the treated mice. Moreover, upon rechallenge with an i.v. injection of 4T1 cells, most cured mice showed robust resistance, indicating an effective immune memory from the Nano-IL-12 and ICIs combination. Besides TNBC, we also tested Nano-IL-12 in combination with ICI in a primary B16F10 melanoma model (Figure S13, Supporting Information). The results showed that the combination of Nano-IL-12 (10 μg IL-12 equivalence/injection) with anti-PD-1 antibody led to CR in 4 mice out of 6 in the group, and the cured mice showed resistance against rechallenge with B16F10 cells, suggesting a strong immunological memory.
3. Discussion
We have developed a tumor-activatable IL-12 strategy using sensitive nanocytokines (Nano-IL-12) that can mute the bioactivity of IL-12 at pH 7.4, but retrieve the fully active cytokine at intratumoral pH. Upon systemic injection, the Nano-IL-12 stably circulated in the bloodstream, reducing the immune response in non-pathological sites and the incidence of irAEs, even after repeated administration. On the other hand, the high accumulation and activation of Nano-IL-12 in tumors lead to a significant enhancement of the efficacy and synergy with ICIs, achieving CR in cold tumor models that are resistant to ICIs, and granting a solid immune memory after treatment.
Nano-IL-12 profoundly activated the TME by eliciting strong secretion of inflammatory cytokines, enhanced infiltration of effector cells, and decreased presence of immunosuppressive cells. Moreover, Nano-IL-12 upregulated the levels of PD-L1 in tumor cells, which can promote the activity of anti-PD-1 antibodies. The changes in the TME caused by Nano-IL-12 cooperated with antiPD-1 antibodies to stimulate cancer immunity through the enhancement of antigen presentation, the increased presence of effector cells and the strengthening of their activity, and the promotion of immune cell interactions. Clinical studies have shown that anti-PD1/anti-PD-L1 checkpoint blockade has a higher response rate in PD-L1-positive TNBC patients with a high number of tumor-infiltrating lymphocytes.[51,52] However, the overall performance of immune checkpoint blockade as a monotherapy against TNBC was not satisfactory[53,54] due to the generally low expression and the significantly heterogenous TME of TNBC[55,56] In fact, only PD-L1 blockage in combination with chemotherapy (Nab-Paclitaxel) has been approved in metastatic TNBC patients, which just gives a modest overall survival benefit in a small fraction of TNBC patients.[57] Thus, the potential of Nano-IL-12 to override the immunosuppressive TME and boost the PD-L1 expression of TNBC may provide a robust alternative for enhancing the response rates of checkpoint blockade. The enhanced safety of Nano-IL-12 is also a significant advantage for therapeutic application. Previous clinical studies have shown that systemically injected IL-12 induces strong hematologic and hepatic toxicities.[58,59] Such side effects are mainly associated with the production of IFN-𝛾 and TNF-𝛼 induced by IL-12 treatment.[42,60] In our study, Nano-IL-12 showed significantly lower cytokine levels than free IL-12 in blood and organs, which limited organ damage. Thus, we were able to inject the Nano-IL- 12 several times at 10 μg IL-12 per mouse, that is, around 500 μg kg-1, which is approximately 1000-fold higher than the maximum tolerated dose (MTD) of IL-12 in humans, i.e., 500 ng kg-1. [61] Another important side effect of systemic IL-12 therapy observed in clinical studies is the onset of an adaptive anti-inflammatory response after a second administration of IL-12, which leads to the reduction of efficacy.[20,21] Such phenomenon has been associated with negative feedback mechanisms related to the overproduction of anti-inflammatory IL-10, and the decline of pro-inflammatory cytokines like IFN-𝛾, TNF-𝛼, and IL-6.[20,22] Nano-IL-12 avoided the increase of IL-10 in blood and organs after the second administration, which could be convenient for accomplishing repeated administration schedules without the decline of the antitumor effects. Notably, the treatment with Nano-IL-12 did not increase the IL-10 concentration in tumors, maintaining high intratumoral levels of IFN-𝛾, TNF-𝛼, and IL-6.

Figure 6. Nano-IL-12 synergizes with immune checkpoint inhibitors to eradicate breast tumors. In both orthotropic and metastatic TNBC models, mice were grouped to receive PBS, IL-12 + ICIs (anti-CTLA4 and anti-PD-1), and Nano-IL-12 + ICIs therapies (dose and treatment schedule were shown in the scheme at the upper panels respectively). a) Combination therapy of Nano-IL-12 and ICIs led to the complete eradication of orthotopic tumors in all mice treated. The individual tumor growth curves are shown in the left panel. The average tumor volume and survival curves are shown in the upper-right panel. The cured mice showed robust defense against rechallenge injection with 4T1 cells to the mammary, with no tumor growth on the treated mice (lower-right panel). b) Combination therapy of Nano-IL-12 and ICIs showed strong inhibition against metastatic tumor progression. After treatment (Day 23), the lungs of mice treated with Nano-IL-12 + ICIs combination therapy showed clearly fewer metastasis, shown by the representative photos (green arrows: macroscopic metastasis) and histological evaluation (Scale bar = 100 μm) presented in the left panel. Nano-IL-12 + ICIs combination therapy finally led to a complete response in all mice treated, as indicated by the survival curves (upper-right panel). Also, the cure mice showed robust defense against tumor rechallenge by injection of 4T1 cells (lower-right panel). (Data are shown as mean ± SEM.; n = 6 mice per group; p values are calculated via log-rank analysis).
Because IL-12 is reckoned as one of the most powerful immunostimulatory cytokines, several approaches are being intensely examined to attenuate IL-12-induced toxicities and potentiate its effectiveness. Strategies using direct intratumoral injection, such as formulations based on IL-12 and adjuvants,[62] and plasmid DNA[63] or messenger RNA[64] encoding IL-12 for producing the cytokine in situ, can maximize the therapeutic index.[8] However, the local administration may face several limitations in the clinic, including the treatment of tumors growing in non-injectable positions,[65] operator-dependent efficacies,[66] uneven distribution of the injected drugs in the tumor,[67] and leakage-induced off-targeting delivery.[68] Moreover, the anticancer activity of the intratumorally injected formulations against distant metastasis largely relies on the variable efficacy of an abscopal effect,[69] which has shown low occurrence rates in clinical studies[70–72] and may not be able to surmount immunosuppressive signals in metastasis.[73] The possibility to safely administer Nano-IL-12 by systemic intravenous injection, which is a standard clinical procedure, can allow predictable pharmacokinetics and has the potential for accessing all tumor sites through the blood supply. IL-12-based Fc-fusion proteins[14] and immunocytokines[11–13] also share these advantages with NanoIL-12. However, the IL-12 component in these compounds is active systemically, which raises safety concerns. For example, long-circulating fusion proteins of IL-12 have shown high levels of serum IFN-𝛾[74,75] and IL-12 immune cytokines have shown accumulations to off-target sites.[76,77] The ability of Nano-IL-12 to control the spatiotemporal activation could provide a safe and potent strategy with specificity in tumor targeting.

Benefits of cistanche tubulosa-Antitumor
A limitation of our current study is that Nano-IL-12 is based on mouse IL-12. Considering that the homology between mouse IL-12 and human IL-12 is around 60–70%, further studies would be necessary to determine the formulation of a human IL-12-based nanocytokine with activity and safety profiles that are comparable to the mouse-based system. Auspiciously, preliminary tests have shown that the polymers used in our study can also coat human IL-12, with similar pH sensitivity. Moreover, as the polymers can be precisely engineered, it would be possible to develop a human IL-12-based system with suitable spatiotemporal profiles for human use. In conclusion, the Nano-IL-12 as nano cytokines achieved effective spatiotemporal control of IL-12 activity upon systemic administration, ensuring precise stimulation of intratumoral immunity to get satisfactory safety and therapeutic outcomes in primary and metastatic cold tumor models, synergizing with checkpoint blockade. As the polymers used for assembling Nano-IL-12 could be engineered for encapsulating a wide range of proteins with different molecular weights and surface charge, the system has the potential for broader application prospects, such as encapsulating other therapeutic cytokines or even cytokine cocktails. Moreover, given the polymeric system could be further engineered to sense other stimuli besides pH,[78] the nano cytokines can be designed for targeting various tumor microenvironments. Finally, considering the translational potential of the employed polymers and nano cytokines, this strategy holds promise for the future of cancer immunotherapy.
references
[1] A. J. Korman, S. C. Garrett-Thomson, N. Lonberg, Nat. Rev. Drug Discovery 2021, 21, 509.
[2] A. Ribas, J. D. Wolchok, Science 2018, 359, 1350.
[3] A. Haslam, V. Prasad, JAMA Network Open 2019, 2, e192535.
[4] P. Sharma, B. A. Siddiqui, S. Anandhan, S. S. Yadav, S. K. Subudhi, J. Gao, S. Goswami, J. P. Allison, Cancer Discovery 2021, 11, 838.
[5] J. D. Martin, H. Cabral, T. Stylianopoulos, R. K. Jain, Nat. Rev. Clin. Oncol. 2020, 17, 251.
[6] C. M. Fares, E. M. Van Allen, C. G. Drake, J. P. Allison, S. HuLieskovan, Am. Soc. Clin. Oncol. Educ. Book. 2019, 39, 147.
[7] K. Chamoto, R. Hatae, T. Honjo, Int. J. Clin. Oncol. 2020, 25, 790.
[8] K. G. Nguyen, M. R. Vrabel, S. M. Mantooth, J. J. Hopkins, E. S. Wagner, T. A. Gabaldon, D. A. Zaharoff, Front. Immunol. 2020, 11, 2510.
[9] E. A. Chiocca, A. B. Gelb, C. C. Chen, G. Rao, D. A. Reardon, P. Y. Wen, W. L. Bi, P. Peruzzi, C. Amidei, D. Triggs, L. Seften, G. Park, J. Grant, K. Truman, J. Y. Buck, N. Hadar, N. Demars, J. Miao, T. Estupinan, J. Loewy, K. Chadha, J. Tringali, L. Cooper, R. V Lukas, Neuro-Oncology 2021, 24, 951.
[10] B. Mirlekar, Y. Pylayeva-Gupta, Cancers 2021, 13, 167.
[11] A. Mansurov, J. Ishihara, P. Hosseinchi, L. Potin, T. M. Marchell, A. Ishihara, J.-M. M. Williford, A. T. Alpar, M. M. Raczy, L. T. Gray, M. A. Swartz, J. A. Hubbell, Nat. Biomed. Eng. 2020, 4, 531.
[12] N. Pasche, D. Neri, Drug Discovery Today 2012, 17, 583.
[13] J. Strauss, C. R. Heery, J. W. Kim, C. Jochems, R. N. Donahue, A. S. Montgomery, S. McMahon, E. Lamping, J. L. Marte, R. A. Madan, M. Bilusic, M. R. Silver, E. Bertotti, J. Schlom, J. L. Gulley, Clin. Cancer Res. 2019, 25, 99.
[14] K. Jung, J. H. Ha, J. E. Kim, J. A. Kim, Y. J. Kim, C. H. Kim, Y. S. Kim, OncoImmunology 2018, 7, e1438800.
[15] A. Mansurov, P. Hosseinchi, K. Chang, A. L. Lauterbach, L. T. Gray, A. T. Alpar, E. Budina, A. J. Slezak, S. Kang, S. Cao, A. Solanki, S. Gomes, J.-M. Williford, M. A. Swartz, J. L. Mendoza, J. Ishihara, J. A. Hubbell, Nat. Biomed. Eng. 2022, 6, 819.
[16] H. D. Chang, A. Radbruch, Expert Rev. Clin. Immunol. 2014, 3, 709.
[17] H. Chang, A. Radbruch, D. Rheumaforschungszentrum, Ann. N. Y. Acad. Sci. 2007, 1109, 40.
[18] S. Tugues, S. H. Burkhard, I. Ohs, M. Vrohlings, K. Nussbaum, J. Vom Berg, P. Kulig, B. Becher, Cell Death Differ. 2014, 22, 237.
[19] C. Asselin-Paturel, M. Isabelle Vergnon, B. Hamid Echchakir, M. Guillaume Dorothé, M. Sé vrine Blesson, M. Franç oise Gay, B. Fathia Mami-Chouaib, S. Chouaib, Cancer 2001, 91, 113.
[20] J. E. A. Portielje, C. H. J. Lamers, W. H. J. Kruit, A. Sparreboom, R. L. H. Bolhuis, G. Stoter, C. Huber, J. W. Gratama, Clin. Cancer Res. 2003, 9, 76.
[21] J. P. Leonard, M. L. Sherman, G. L. Fisher, L. J. Buchanan, G. Larsen, M. B. Atkins, J. A. Sosman, J. P. Dutcher, N. J. Vogelzang, J. L. Ryan, Blood 1997, 90, 2541.
[22] E. Bajetta, M. Del Vecchio, R. Mortarini, R. Nadeau, A. Rakhit, L. Rimassa, C. Fowst, A. Borri, A. Anichini, G. Parmiani, Clin. Cancer Res. 1998, 4, 75.
[23] C. Corbet, O. Feron, Nat. Rev. Cancer 2017, 17, 577. [24] M. Bellone, A. Calcinotto, P. Filipazzi, A. De Milito, S. Fais, L. Rivoltini, Oncoimmunology 2013, 2, e22058.
[25] S. Damgaci, A. Ibrahim-Hashim, P. M. Enriquez-Navas, S. PilonThomas, A. Guvenis, R. J. Gillies, Immunology 2018, 154, 354.
[26] J. Liu, H. Cabral, B. Song, I. Aoki, Z. Chen, N. Nishiyama, Y. Huang, K. Kataoka, P. Mi, ACS Nano 2021, 15, 13526.
[27] A. Tao, G. L.o Huang, K. Igarashi, T. Hong, S. Liao, F. Stellacci, Y. Matsumoto, T. Yamasoba, K. Kataoka, H. Cabral, Macromol. Biosci. 2020, 20, 1900161.
[28] Y. Mochida, H. Cabral, Y. Miura, F. Albertini, S. Fukushima, K. Osada, N. Nishiyama, K. Kataoka, ACS Nano 2014, 8, 6724.
[29] J. S. Suk, Q. Xu, N. Kim, J. Hanes, L. M. Ensign, Adv. Drug Delivery Rev. 2016, 99, 28.
[30] C. Y. Sun, Y. Liu, J. Z. Du, Z. T. Cao, C. F. Xu, J. Wang, Angew. Chem., Int. Ed. 2016, 55, 1010.
[31] A. Ibrahim-Hashim, V. Estrella, Cancer Metastasis Rev. 2019, 38, 149.
[32] G. Trinchieri, F. Gerosa, J. Leukocyte Biol. 1996, 59, 505.
[33] T. Starciuc, B. Malfait, F. Danede, L. Paccou, Y. Guinet, N. T. Correia, A. Hedoux, J. Pharm. Sci. 2020, 109, 496.
[34] G. Egawa, S. Nakamizo, Y. Natsuaki, H. Doi, Y. Miyachi, K. Kabashima, Stem Cells Int. 2013, 3, 1932.
[35] S. Jayanthi, B. P. Koppolu, K. G. Nguyen, S. G. Smith, B. K. Felber, T. K. S. Kumar, D. A. Zaharoff, Stem Cells Int. 2017, 7, 5360.
[36] M. P. Hwuang, R. J. Fecek, T. Qin, W. J. Storkus, Y. Wang, J. Controlled Release 2019, 318, 270.
[37] Q. Wang, Y. Wang, J. Ding, C. Wang, X. Zhou, W. Gao, H. Huang, F. Shao, Z. Liu, Nature 2020, 579, 421.
[38] G. Trinchieri, Annu. Rev. Immunol. 1995, 13, 251.
[39] L. Meyaard, E. Hovenkamp, S. A. Otto, F. Miedema, J. Immunol. 1996, 156, 2776.
[40] A. Cope, G. L.e Friec, J. Cardone, C. Kemper, Trends Immunol. 2011, 32, 278.
[41] S. P. Kerkar, R. S. Goldszmid, P. Muranski, D. Chinnasamy, Z. Yu, R. N. Reger, A. J. Leonardi, R. A. Morgan, E. Wang, F. M. Marincola, G. Trinchieri, S. A. Rosenberg, N. P. Restifo, J. Clin. Invest. 2011, 121, 4746.
[42] W. Lasek, R. Zago˙zd˙zon, M. Jakobisiak, Cancer Immunol. Immunother. 2014, 63, 419.
[43] C. Zhang, J. Zhang, J. Niu, Z. Zhou, J. Zhang, Z. Tian, Hum. Immunol. 2008, 69, 490.
[44] N. G. Jacobson, S. J. Szabo, R. M. Weber-Nordt, Z. Zhong, R. D. Schreiber, J. E. Darnell, K. M. Murphy, J. Exp. Med. 1995, 181, 1755.
[45] K. Mimura, J. L. Teh, H. Okayama, K. Shiraishi, L. F. Kua, V. Koh, D. T. Smoot, H. Ashktorab, T. Oike, Y. Suzuki, Z. Fazreen, B. R. Asuncion, A. Shabbir, W. P. Yong, J. So, R. Soong, K. Kono, Cancer Sci. 2018, 109, 43.
[46] T. Watanabe, S. Watanabe, G. Neumann, H. Kida, Y. Kawaoka, J. Virol. 2002, 76, 767.
[47] A. S. Bergot, A. Durgeau, B. Levacher, B. M. Colombo, J. L. Cohen, D. Klatzmann, Cancer Gene Ther. 2010, 17, 645.
[48] R. Dent, M. Trudeau, K. I. Pritchard, W. M. Hanna, H. K. Kahn, C. A. Sawka, L. A. Lickley, E. Rawlinson, P. Sun, S. A. Narod, Clin. Cancer Res. 2007, 13, 4429.
[49] B. G. Haffty, Q. Yang, M. Reiss, T. Kearney, S. A. Higgins, J. Weidhaas, L. Harris, W. Hait, D. Toppmeyer, J. Clin. Oncol. 2006, 24, 5652.
[50] A. V. Paschall, K. Liu, J. Visualized Exp. 2016, 2016, 54040.
[51] A. Marra, G. Viale, G. Curigliano, BMC Med. 2019, 17, 90.
[52] R. Thomas, G. Al-Khadairi, J. Decock, Front. Oncol. 2021, 10, 3464.
[53] S. Adams, P. Schmid, H. S. Rugo, E. P. Winer, D. Loirat, A. Awada, D. W. Cescon, H. Iwata, M. Campone, R. Nanda, R. Hui, G. Curigliano, D. Toppmeyer, J. O'Shaughnessy, S. Loi, S. Paluch-Shimon, A. R. Tan, D. Card, J. Zhao, V. Karantza, J. Cortés, Ann. Oncol. 2019, 30, 397.
[54] L. Y. Dirix, I. Takacs, G. Jerusalem, P. Nikolinakos, H. T. Arkenau, A. Forero-Torres, R. Boccia, M. E. Lippman, R. Somer, M. Smakal, L. A. Emens, B. Hrinczenko, W. Edenfield, J. Gurtler, A. von Heydebreck, H. J. Grote, K. Chin, E. P. Hamilton, Breast Cancer Res. Treat. 2018, 167, 671.
[55] E. A. Mittendorf, A. V. Philips, F. Meric-Bernstam, N. Qiao, Y. Wu, S. Harrington, X. Su, Y. Wang, A. M. Gonzalez-Angulo, A. Akcakanat, A. Chawla, M. Curran, P. Hwu, P. Sharma, J. K. Litton, J. J. Molldrem, G. Alatrash, Cancer Immunol. Res. 2014, 2, 361.
[56] M. T. Barrett, E. Lenkiewicz, S. Malasi, A. Basu, J. H. Yearley, L. Annamalai, A. E. McCullough, H. E. Kosiorek, P. Narang, M. A. Wilson Sayres, M. Chen, K. S. Anderson, B. A. Pockaj, Breast Cancer Res. 2018, 20,71.
[57] P. Schmid, S. Adams, H. S. Rugo, A. Schneeweiss, C. H. Barrios, H. Iwata, V. Diéras, R. Hegg, S.-A. Im, G. S. Wright, V. Henschel, L. Molinero, S. Y. Chui, R. Funke, A. Husain, E. P. Winer, S. Loi, L. A. Emens, N. Engl. J. Med. 2018, 379, 2108.
[58] M. K. Gately, U. Gubler, M. J. Brunda, R. R. Nadeau, T. D. Anderson, J. M. Lipman, U. Sarmiento, Ther. Immunol. 1994, 1, 187.
[59] U. M. Sarmiento, J. H. Riley, P. A. Knaack, J. M. Lipman, J. M. Becker, M. K. Gately, R. Chizzonite, T. D. Anderson, Lab. Invest. 1994, 71, 862.
[60] V. M. Eng, B. D. Car, B. Schnyder, M. Lorenz, S. Lugli, M. Aguet, T. D. Anderson, B. Ryffel, V. F. J. Quesniaux, J. Exp. Med. 1995, 181, 1893.
[61] J. A. Gollob, K. G. Veenstra, R. A. Parker, J. W. Mier, D. F. McDermott, D. Clancy, L. Tutin, H. Koon, M. B. Atkins, J. Clin. Oncol. 2003, 21, 2564.
[62] Y. Agarwal, L. E. Milling, J. Y. H. Chang, L. Santollani, A. Sheen, E. A. Lutz, A. Tabet, J. Stinson, K. Ni, K. A. Rodrigues, T. J. Moyer, M. B. Melo, D. J. Irvine, K. D. Wittrup, Nat. Biomed. Eng. 2022, 6, 129.
[63] M. L. Lucas, L. Heller, D. Coppola, R. Heller, Mol. Ther. 2002, 5, 668.
[64] S. L. Hewitt, D. Bailey, J. Zielinski, A. Apte, F. Musenge, R. Karp, S. Burke, F. Garcon, A. Mishra, S. Gurumurthy, A. Watkins, K. Arnold, J. Moynihan, E. Clancy-Thompson, K. Mulgrew, G. Adjei, K. Deschler, D. Potz, G. Moody, D. A. Leinster, S. Novick, M. Sulikowski, C. Bagnall, P. Martin, J. M. Lapointe, H. Si, C. Morehouse, M. Sedic, R. W. Wilkinson, R. Herbst, et al., Clin. Cancer Res. 2020, 26, 6284.
[65] R. S. Riley, C. H. June, R. Langer, M. J. Mitchell, Nat. Rev. Drug Discovery 2019, 18, 175.
[66] I. Melero, E. Castanon, M. Alvarez, S. Champiat, A. Marabelle, Nat. Rev. Clin. Oncol. 2021, 18, 558.
[67] L. M. Wein, J. T. Wu, D. H. Kirn, Cancer Res. 2003, 63, 1317.
[68] J. Hong, C.-O. Yun, BMC Biomed. Eng. 2019, 1, 17.
[69] A. Mukhopadhyay, J. Wright, S. Shirley, D. A. Canton, C. Burkart, R. J. Connolly, J. S. Campbell, R. H. Pierce, Gene Ther. 2018, 26, 1.
[70] M. A. Postow, M. K. Callahan, C. A. Barker, Y. Yamada, J. Yuan, S. Kitano, Z. Mu, T. Rasalan, M. Adamow, E. Ritter, C. Sedrak, A. A. Jungbluth, R. Chua, A. S. Yang, R.-A. Roman, S. Rosner, B. Benson, J. P. Allison, A. M. Lesokhin, S. Gnjatic, J. D. Wolchok, N. Engl. J. Med. 2012, 366, 925.
[71] E. F. Stamell, J. D. Wolchok, S. Gnjatic, N. Y. Lee, I. Brownell, Int. J. Radiat. Oncol., Biol., Phys. 2013, 85, 293.
[72] E. B. Golden, S. Demaria, P. B. Schiff, A. Chachoua, S. C. Formenti, Cancer Immunol. Res. 2013, 1, 365.
[73] T. Y. Seiwert, A. P. Kiess, J. Clin. Oncol. 2021, 39, 1.
[74] E. Gutierrez, M. Bigelow, C. LaCroix, P. Kirby, L. Markowitz, M. Naill, S. O'Neil, P. A. Hull, J. Engelhardt, J.-M. Cuillerott, A. Cheung, A. Grinberg, N. Wagtmann, Cancer Res. 2021, 81, 1714
[75] R. Varma, K. Liu, C. Bonzon, R. Rashid, N. Rodriguez, N. Hassanzadeh-Kiabi, C. Ardila, S. Y. Chu, U. S. Muchhal, J. R. Desjarlais, M. J. Bernett, Cancer Res. 2020, 80, 5549.
[76] J. Sharifi, L. A. Khawli, P. Hu, S. King, A. L. Epstein, Hybrid Hybridomics 2001, 20, 305.
[77] C. Halin, S. Rondini, F. Nilsson, A. Berndt, H. Kosmehl, L. Zardi, D. Neri, Nat. Biotechnol. 2002, 20, 264.
[78] S. Mura, J. Nicolas, P. Couvreur, Nat. Mater. 2013, 12, 991.
[79] E. Becht, N. A. Giraldo, L. Lacroix, B. Buttard, N. Elarouci, F. Petitprez, J. Selves, P. Laurent-Puig, C. Sautès-Fridman, W. H. Fridman, A. de Reyniès, Genome Biol. 2016, 17, 218






