Abstract
Cancer curing immune responses against heterogeneous solid cancers require that a coordinated immune activation is initiated in the antigen avid but immunosuppressive tumor microenvironment (TME). The plastic TME, and the poor systemic tolerability of immune activating drugs are, however, fundamental barriers to generating curative anticancer immune responses. Here, we introduce the CarboCell technology to overcome these barriers by forming an intratumoral sustained drug release depot that provides high payloads of immune stimulatory drugs selectively within the TME. The CarboCell thereby induces a hot spot for immune cell training and polarization and further drives and maintains the tumor-draining lymph nodes in an anticancer and immune activated state. Mechanistically, this transforms cancerous tissues, consequently generating systemic anticancer immunoreactivity. CarboCell can be injected through standard thin-needle technologies and has inherent imaging contrast which secure accurate intratumoral positioning. In particular, here we report the therapeutic performance for a dual-drug CarboCell providing sustained release of a Toll-like receptor 7/8 agonist and a transforming growth factor-β inhibitor in preclinical tumor models in female mice.
Similar content being viewed by others
Introduction
The anticancer immune response is generated in the antigen-rich cancerous tissue and in the associated lymph nodes1. In most cancer patients, the anticancer immune response is, however, counteracted by an immunosuppressive tumor microenvironment (TME), resulting in a poorly organized and uncoordinated adaptive immune response2,3. The immunosuppressive TME is a target that, if successfully transformed, can improve the outcome of cancer therapies4,5,6. Immune activating compounds, which activate and link the innate and adaptive immune response, are among the most promising candidates to achieve this transformation7,8. However, systemic administration of these agents is challenging and has a significant risk of dose-limiting toxicities at sub-therapeutic dose levels6,8,9,10,11. As explored previously, direct intratumoral drug administration of these agents offers a tolerated and therapeutically effective alternative that can further generate systemic anticancer immune responses10,11,12,13,14.
Tumors are central sources of antigens expressed across multiple cancer cell clones; and, intratumoral therapies thus potentially stimulate a polyclonal in situ vaccination directly in the antigen-rich cancer tissue1. Therapeutic effects provided by free-drug injections are, however, often hampered by rapid loss of drug activity within the TME due to the lack of optimal formulation designs1,15,16. This results in poor treatment outcomes as short-lived immune stimulation is insufficient to secure a coordinated immune response and especially when considering the reactive and plastic trafficking of intratumoral immune cells.
The TME is highly heterogeneous and plastic even for cancers of the same histology17,18,19,20; and, several factors shape the TME and support cancer cell escape21. This has led to the consensus that TME polarizing therapies optimally should be multi-targeted to break the immunosuppressive barrier21. One example of such an approach is the combination of a Toll-like receptor 7/8 agonist (TLR7/8a) and a transforming growth factor-β inhibitor (TGFβi). TLR7/8a has been shown to link the innate and adaptive immune system22,23,24; and TGFβi is known to redirect lymphoid and myeloid immune cells towards the anticancer phenotypes via pleiotropic effects25,26. Co-delivery of TLR7/8a and TGFβi thus has the potential to generate effective anticancer immune responses and to overcome the immunosuppressive TME22,23,24,25,26. To date, successful administration of TLR7/8a is limited27, but sustained intratumoral delivery technologies based on e.g., hydrogels are being explored28,29. Hydrogels, however, may suffer from rapid release of small molecules unless chemically linked to the hydrogel polymer, and sustained co-delivery of multiple agents with optimal dosing is inherently challenging. To overcome these obstacles, we designed the CarboCell platform to provide an immune cell hot spot directly in the cancerous tissue (Fig. 1a) and associated lymph nodes. Upon injection into the tumor, CarboCell transforms from a liquid into a semi-solid scaffold from which single or multiple small molecule drug(s) may be released - each with individually tailored release profiles. The therapeutic potential of controlled release has recently been demonstrated for CarboCell formulations releasing antibiotics in musculoskeletal infection models30. Previously, the practicality of intratumoral injections has been subject for debate; and variation and operator dependent outcomes have been reported31. Some of the central challenges are associated with the rapid wash out of free drug from the TME and lack of methods for validating the positioning of injected drugs31. The CarboCell technology overcomes these limitations; it is further compatible with image-guided injection technologies and is effectively retained at the injection site, thereby alleviating inconsistencies related to rapid washout and insecure positioning. Clinical validation for injection across a range of malignancies and anatomical positions has already been demonstrated for imaging marker technologies with similar physical properties32,33. In a previous publication, CarboCell was demonstrated to be intrinsically visible by ultrasound, magnetic resonance imaging, as well as by computed tomography (CT) upon co-formulation of iodine rich carbohydrate esters (Supplementary Fig. 1)32. This is attractive for image-guided injection and post-treatment follow-up. In comparison to alternative technologies that have been proposed for similar applications (e.g., those based on nanostructured materials or cross-linked polymer hydrogels34,35) CarboCell is a liquid composition comprised of carbohydrate esters, triglycerides, biodegradable polymers, and ethanol as solvent (Fig. 1b). The carbohydrate esters and triglyceride excipients of CarboCell are biodegradable by hydrolysis and degradants are well-tolerated disaccharides and low molecular organic acids.
In this work, we present data for CarboCells releasing TLR7/8a alone or in combination with TGFβi. We demonstrate a platform technology that can deliver sustained, high intratumoral drug doses with minimal off-target effects, and that drug release and dosing intervals can be controlled by modifying the CarboCell composition. The sustained intratumoral drug activity stimulates tumor directed immune activation, confirming the synergistic effect of TLR7/8 activation and TGFβ inhibition. The induction of a T cell inflamed TME and a coordinated adaptive anticancer response, including systemic anticancer activity, is furthermore demonstrated across preclinical in vivo cancer models.
Results
CarboCell provides sustained tumor drug activity and minimal systemic exposure
CarboCell is a liquid composition comprising mixtures of a carbohydrate ester, a triglyceride, a polymer additive, and ethanol as solvent (Fig. 1b). Prior to administration, the CarboCell liquid is 700-800-fold more viscous than water and is injectable using standard procedures (Supplementary Table 1, Fig. 1a). After administration, the semi-solid CarboCell depot is formed at the site of injection caused by efflux of the solvent. In this transition, the viscosity of CarboCell increases and it is immobilized in the tissue, from where high doses of a single or multiple drug(s) may be released. Several compositions were included in the optimization of the CarboCell TLR7/8a:TGFbi delivery system, which are abbreviated CC and sequentially described in Supplementary Table 1. CarboCell is intrinsically hydrophobic and can be utilized for delivery of a broad range of lipophilic drugs (logP > 0). Here, the TLR7/8a Resiquimod (R848, logP = 1.7, Fig. 1b) and the TGFβi RepSox (logP = 2.5, Fig. 1b) were co-formulated in CarboCell, as both compounds are lipophilic with comparable logP, rendering these drugs optimal for synchronized dual release. The drug release profiles are governed by the initial solvent efflux as well as the composition of the CarboCell. This was exemplified in vivo by subcutaneous injection (s.c.) of CC and CC extended release (CC-ER) CarboCell compositions (Fig. 1c). Here, the CC composition reached 92–95% drug release at day 7 in comparison to the CC-ER composition that only reached 51–57% drug release. A reduced release rate was obtained by lowering the triglyceride and polymer content (Supplementary Table 1). Importantly, such compositional change altered the release profile for both R848 and RepSox by the same magnitude, thereby preserving the synchronized release feature.
Intratumoral technologies are inherently dependent on the ability to support accurate and safe placement. The CarboCell imaging properties can assist the injection procedure and validate depot formation. To demonstrate the ability of CarboCell to form stable intratumoral depots, we incorporated the iodinated carbohydrate ester 6,6’-ditriidobenzene-isobuturic-sucrose (xSAIB) for radiographic contrast32. Micro-computed tomography (µCT) imaging confirmed that CarboCell formed well-defined depots after intratumoral injection, which were retained at the site of injection (Supplementary Fig. 1a–c). Next, we investigated in vivo pharmacokinetics and biodistribution (PK/BD) of R848 to validate the sustained intratumoral drug activity provided by the CarboCell. CarboCell formulated with the TLR7/8a R848 is referred to as CarboCell TLR. Tritium labelled R848 (3H-R848) was used for the PK/BD comparison of CarboCell TLR with intravenous and intratumoral injections of free 3H-R848. The blood activity curves were comparable for intravenous and intratumoral free 3H-R848, which illustrates the rapid wash out kinetics from tumors after intratumoral injections of free drug. On the contrary, we observed a very low blood activity of 3H-R848 in mice receiving the intratumoral CarboCell TLR (Fig. 1d). The total activity within the depot and tumor tissue is represented by the intratumoral CarboCell 3H-R848, as depicted in Fig. 1e. This, combined with the sustained release from CarboCell, supports the assertion that 3H-R848 offers continuous activity within the tumor tissue, accompanied by a low and decreasing systemic spill-over.
In comparison, less than 19% of the intratumorally injected free 3H-R848 could be detected in the tumor after 30 min, and less than 1% were found at all time points in intravenously injected mice (Fig. 1e). This observation is comparable to previous reports on intratumoral drug retention of small molecules and underlines the importance of a depot technology to achieve sustained stimulation36,37,38. Mice injected with CarboCell TLR also displayed much lower 3H-R848 organ activity compared to mice injected with free intratumoral and intravenous 3H-R848 (Supplementary Fig. 2a–e). This demonstrates that the CarboCell technology effectively maintains drug activity in the TME, which is of central importance in reducing the risk of adverse effects associated with innate immune system activating compounds.
CarboCell TLR:TGFb demonstrates the therapeutic advantage of combinatorial immunotherapy
For initial demonstration of the therapeutic performance of CarboCell, we used a CarboCell composition that provides sustained release of the TLR7/8a R848 or a combination of the TLR7/8a R848 and the TGFβi RepSox, referred to as CarboCell TLR:TGFb, and compared these in the CT26 tumor model (Fig. 2a). For therapeutic evaluation, the CarboCell was given as four weekly intratumoral injections unless otherwise stated. The CarboCell TLR:TGFb-treated group displayed potent anticancer activity with 89% of the mice experiencing a complete response (i.e., tumor eradication with no adverse effects on viability). Conversely, only 22% complete responses were evinced in the CarboCell TLR-treated group (Fig. 2b, c), confirming the synergistic effect of TLR7/8 activation and TGFβ inhibition over single agent activity. All therapies were well tolerated, and all mice that demonstrated responses exhibited features of immunological memory upon tumor cell rechallenge (Supplementary Fig. 3a–c).
Next, the mechanistic background for the improved therapeutic efficacy of the CarboCell TLR:TGFb treatment was investigated. The ability of CarboCell TLR:TGFb to increase the expression of Mixed Lineage Kinase Domain-Like (MLKL) protein in tumor tissue was first explored. MLKL mediates necroptosis, an alternative mode of programmed cell death, which has the potential to amplify the anticancer immune responses39. Anti-MLKL staining of CT26 tumors after CarboCell TLR:TGFb injection resulted in increased expression of MLKL in tumor sections as compared to untreated controls (Fig. 2d), indicating that CarboCell TLR:TGFb induce necroptosis in the cancerous tissue. Additionally, gene expression analysis of CT26 tumors and tumor-draining lymph nodes (tdLNs) showed significantly elevated levels of the inflammatory chemokines Ccl4 and Cxcl10 one day after CarboCell TLR:TGFb treatment. This effect was gradually reduced at day seven (Fig. 2e). The expression of Cxcl9, Irf7, and Tnf-α was also significantly increased in the tdLNs one day after treatment with CarboCell TLR:TGFb while the levels of Cxcl9 and Irf7 were unchanged in tumors at both time points (Supplementary Fig. 3d). The increased gene expression of inflammatory cytokines and chemokines was mirrored at the protein level in CT26 tumor-bearing mice. Here, a tendency towards increased intratumoral levels of CXCL10 and IFN-β was observed one day following CarboCell TLR:TGFb treatment (Fig. 2f).
The higher levels of inflammatory chemokines and cytokines were associated with significantly increased levels of conventional type 1 dendritic cells (cDC1s) and inflammatory monocytes in tdLNs seven days after CarboCell TLR:TGFb treatment of CT26 tumor-bearing mice; further, an increased expression of the activation marker CD86 was observed on cDC1s (Fig. 2g and Supplementary Fig. 14). In the CT26 tumors, a potent improvement of the T cell composition was demonstrated by a significantly increased CD8+ T cell/T regulatory cell (Treg) ratio and an increased fraction of intratumoral cytotoxic T cells with specificity towards the CT26 immunodominant gp70 epitope (Dex-AH1+) (Fig. 2h and Supplementary Fig. 15). The observed gene expression patterns (Fig. 2e and Supplementary Fig. 3d) support this observation as CCL4, CXCL9, and CXCL10 produced by activated dendritic cells (DCs) are central for trafficking and localization of CD8+ T cells40,41,42,43. Furthermore, TLR7/8-mediated stimulation is the main activator of IRF744 and leads to the production of TNF-α45,46.
To investigate the therapeutic significance of CD8 + T cells in the context of CarboCell TLR:TGFβ treatment, we conducted a comparative efficacy study between immunocompetent BALB/c mice and immunodeficient BALB/c-nu mice, which are devoid of T cells. CT26 tumors were established in both mouse strains, followed by two intratumoral administrations of CarboCell TLR:TGFb (Fig. 2i). In immunodeficient BALB/c-nu mice treated with CarboCell, a delay in tumor progression was noted when compared to their untreated controls. Conversely, the immunocompetent BALB/c mice exhibited sustained tumor suppression over study period (Fig. 2j). These findings underscore the critical role of T cells in mediating the antitumor efficacy of CarboCell TLR:TGFb intratumoral therapy.
Tailoring the CarboCell drug release kinetics can increase injection intervals, thereby reducing the total number of injections. Therefore, the influence of release rate on therapeutic efficacy was investigated by comparing the CarboCell TLR:TGFb standard formulation with a CarboCell TLR:TGFb extended drug release composition with double drug concentration in CT26 tumor-bearing mice (Supplementary Fig. 3e). For both formulations, a single intratumoral injection of CarboCell TLR:TGFb resulted in complete responses in the majority (50-75%) of the treated animals (Supplementary Fig. 3f, g). Thus, increasing the dose and reducing the burst effect can achieve comparable treatment outcomes, potentially allowing for fewer and less frequent doses, enhancing clinical relevance.
CarboCell TLR:TGFb shows therapeutic efficacy and immune activation across models
The observed therapeutic efficacy in the CT26 tumor model, a model known to be highly infiltrated by cytotoxic immune cells47, encouraged further exploration of CarboCell performance across different immune infiltrated TME backgrounds. In the MC38 tumor model, a model dominated by immunosuppressive cell types47, we compared the therapeutic performance of four weekly intratumoral injections of empty CarboCell or CarboCell TLR:TGFb with two intratumoral injections (with 14-day intervals) of the CarboCell TLR:TGFb composition that provides extended release (Fig. 3a). Both compositions of CarboCell TLR:TGFb effectively decreased tumor growth and improved animal survival (Fig. 3b, c) independent of their different drug release rates; all CarboCell compositions were well tolerated (Supplementary Fig. 4a, b).
To decipher the mechanisms for the observed therapeutic effect, we performed gene expression analysis in MC38 tumor-bearing mice. In these tumors, Ccl4 was significantly increased, whereas Cxcl9, Irf7, and Cxcl10 were not significantly elevated following treatment (Fig. 3d and Supplementary Fig. 4c). In the tdLNs, a more pronounced effect was observed as Ccl4, Cxcl9, and Irf7 were all significantly elevated one day after treatment (Fig. 3d). Cxcl10 levels were also initially elevated whereas Tnf-α was unchanged at both evaluated time points (Supplementary Fig. 4c). Additionally, we evaluated the cytokine production in MC38 tumor-bearing mice following treatment with CarboCell TLR:TGFb. IFN-β production was slightly elevated one day after treatment but similarly decreased at day 7 (Fig. 3e). CXCL10 production was unchanged over time (Supplementary Fig. 4d). The elevated levels of inflammatory chemokines and cytokines were mirrored in increased infiltration of CD8+ cells in the MC38 tumors seven days after treatment with CarboCell TLR:TGFb (Fig. 3f).
Next, we compared the therapeutic efficacy of CarboCell TLR with CarboCell TLR:TGFb in the EMT-6 tumor model (Fig. 3g). In this model, CarboCell TLR:TGFb again showed potent anticancer activity with 80% of the mice demonstrating complete responses to treatment as compared to 50% and 0% in the CarboCell TLR and untreated groups, respectively (Fig. 3h, i). All treatments were well tolerated, and long-lasting immunological anticancer memory imparted by CarboCell TLR:TGFb was confirmed by cancer cell rechallenge in the opposite flank (Supplementary Fig. 4e–g). As in the CT26 tumor model (Fig. 2g, h), CarboCell TLR:TGFb significantly increased the infiltration of cDC1s and inflammatory monocytes in tdLNs as well as the expression of CD86 on cDC1s, and significantly decreased infiltration of tumor-associated macrophages (TAMs) in the tumors seven days after treatment (Fig. 3j, k and Supplementary Figs. 16, 17).
Radiation therapy (RT) is a central part of the therapeutic regimen for more than 50% of patients with solid cancer and is a potent immunogenic cell death inducer. RT alone, however, is rarely capable of generating curative immune responses48. Accordingly, we evaluated the synergistic activity of CarboCell and RT in MC38 (Supplementary Fig. 5a), B16.F10 (Supplementary Fig. 5d), and CT26 (Supplementary Fig. 5g) tumor-bearing mice. For all radio-immunotherapeutic studies, we used CarboCells formulated with 2.5 times lower TLR7/8a dose relative to the CarboCell monotherapy dose. This was done to reduce CarboCell-mediated necroptosis and minimize complete anticancer responses in the CarboCell only treatment groups. This should allow the radiation therapy to mediate the release of cancer antigens and demonstrate potential synergy between the two treatment modalities49. Across all tumor models, we observed therapeutic efficacy and synergistic activity (Supplementary Fig. 5b, c, Supplementary Fig. 5e, f, Supplementary Fig. 5h, i).
CarboCell induces systemic anticancer activity
To investigate the systemic anticancer properties of CarboCell TLR:TGFb, we used mice bearing two established CT26 tumors (one on each flank), and injected CarboCell TLR:TGFb in only one tumor (Fig. 4a). This generated an effective systemic anticancer response as the treatment reduced tumor growth in both the injected and uninjected tumors and led to 60% complete responders (Fig. 4b, c). The individual tumor growth curves support that systemic anticancer immune reactivity is generated over time towards the growing tumors leading to elimination of these by the systemic adaptive response. Interestingly, some tumors grew to very large sizes ( ~ 500 mm3) before a therapeutic effect was observed, which underlines the potency of the technology. Systemic anticancer reactivity was also demonstrated in large A20 tumors using a bilateral tumor model (Supplementary Fig. 6a–c).
The ability to generate optimally polarized effector T cells is central for the CarboCell induced immune hotspot. However, Tregs in the TME are known to suppress effector T cell function and it has been shown that CD36 expression is involved in this process50. We, therefore, investigated CD36 expression on tumor infiltrating Tregs from mice bearing two established CT26 tumors (one on each flank). Again, the mice were only treated with CarboCell TLR:TGFb in one tumor. The percentage of Tregs was unchanged following treatment, however, the percentage of CD36+ Tregs was significantly decreased in both the injected and the uninjected tumors (Fig. 4d and Supplementary Fig. 18). The decreased CD36 expression was equally pronounced in the injected and uninjected tumors, further indicating that CarboCell TLR:TGFb is able to generate a systemic response.
To explore anti-cancer T-cell responses in CarboCell TLR:TGFb-treated and untreated tumors, TCRβ CDR3 immune sequencing was conducted on whole tumor tissue from mice with bilateral CT26 tumors. Encouragingly, despite no increase in overall TCR clone count (Supplementary Fig 8) the treated tumor and contralateral tumors showed sequence overlap of 731, compared to only 41 sequences for controls (Fig. 4e). Notably, while individual CarboCell TLR:TGFb-treated mice displayed high overlap, minimal overlap was observed between mice as illustrated by the Morisita index map (Fig. 4f, Supplementary Fig. 9).
The murine 4T1 breast cancer model can spontaneously metastasize to other sites of the body including to the lungs51. Considering that TGFβ is a central mediator of the formation of the immunosuppressive TME and intricately linked to epithelial–mesenchymal cancer cell transition and metastasis52, we used this model to investigate if CarboCell TLR:TGFb was able to reduce lung metastases. This was investigated using a 6-thioguanine-clonogenic assay performed on lungs from mice bearing 4T1 flank tumors. CarboCell formulated with the TGFβi RepSox is referred to as CarboCell TGFb. In lungs harvested 24 days after cancer cell inoculation, we identified 6-thioguanine-resistant 4T1 cells across all treatment groups; however, six out of eight mice treated with CarboCell TLR:TGFb did not show any signs of metastases compared to only one out of eight mice in the CarboCell TLR and CarboCell TGFb treated groups (Fig. 4g, h). Using 18F-fluorodeoxyglucose positron emission tomography (18FDG-PET)/ computed tomography (CT) it was furthermore shown that CarboCell TLR:TGFb and RT significantly lowered the 18FDG positive lung volume compared to RT alone in the 4T1 model (Supplementary Fig. 7a, b). To confirm that sustained and effective intratumoral inhibition of TGFβ was achieved, we investigated intratumoral arginase-1 (Arg-1) expression in myeloid populations in 4T1 tumors. In the monocytic myeloid-derived suppressor cells (Mo-MDSC), patrolling monocytes (PMo), and TAM populations we observed that Arg-1 expression (MFI) levels were significantly reduced three and seven days after intratumoral CarboCell TLR:TGFb treatment (Fig. 4i and Supplementary Fig. 20).
It has been suggested that the formation of long-lasting immunological anticancer memory often develops independently of treatment for murine syngeneic tumor models, questioning the utility of rechallenge experiments53. To confirm that immunological memory was formed in response to CarboCell treatment (Supplementary Fig. 3c, Supplementary Fig. 4g), we transferred splenocytes, recovered more than 100 days after initial inoculation, from the mice that had previously rejected both the injected and uninjected CT26 tumors in response to CarboCell TLR:TGFb (Fig. 4a–c). Here, we preconditioned mice bearing established CT26 tumors with cyclophosphamide one day prior to splenocyte transfer from naïve mice, CT26 tumor-bearing mice, or from the mice rejecting two CT26 tumors (Fig. 4j). Splenocyte transfer from mice rejecting two CT26 tumors following treatment with CarboCell TLR:TGFb led to 100% complete responders whereas mice receiving splenocytes from naïve or CT26 tumor-bearing mice resulted in 12.5% and 25% complete responders, respectively (Fig. 4k, l). This demonstrates that CarboCell TLR:TGFb generates a sustained central immunological anticancer memory response capable of eliminating established tumors when transferred into tumor-bearing recipients.
CarboCell improves the therapeutic performance of checkpoint inhibition
The observed innate and adaptive immune activation induced by CarboCell TLR:TGFb is highly attractive for improving the therapeutic activity of immune checkpoint inhibitors (ICIs). Therefore, we investigated the influence of CarboCell treatment on ICI extravasation and its effects on tumor vasculature. For this, we employed optical tissue clearing allowing for 3D imaging of large tumor volumes using confocal microscopy. The data was processed using machine learning-based image analysis as previously reported54. Tumor-bearing mice were treated with CarboCell and five days later the mice received AF555-labelled lectin to visualize the tumor vasculature and AF647-labelled programmed cell death ligand 1 antibody (aPD-L1) to evaluate ICI extravasation. Our analysis demonstrated that CarboCell TLR and CarboCell TLR:TGFb stimulated a dramatic reduction in viable tumor tissue volume (Fig. 5a–c), an increased targeting of the remaining viable tissue by the aPD-L1 (Fig. 5d), and its more extensive distribution outside of the viable tissue (Fig. 5e).
Analysis of vessel permeability showed a dramatic increase in the CarboCell TLR:TGFb group (Fig. 5f), both with regards to the amount of aPD-L1 leaving the vasculature, as well as in number of extravasation foci, which can be a surrogate measure for a number of breaches in vasculature (Supplementary Fig. 10a). Comparing permeable vasculature between the groups yielded similar differences (Supplementary Fig. 10b, c), suggesting that the treatments increase the sizes of existing breaches and the number of breaches in the already permeable vessels. Interestingly, at the evaluated time point, the treatments did not lead to changes in the tumor vessel architecture (Supplementary Fig. 8d). While the increase in vessel permeability seemed to be the main driver of the antibody extravasation, tumor decompression could also contribute to the improved antibody distribution. This is suggested by a combination of a more extensive distribution of the antibody beyond the primary source of extravasation (Fig. 5a, e) and a slight but significant decrease in the fluorescent intensity within extravasation foci (Supplementary Fig. 11a, b), indicating a decrease in local antibody concentration due to facilitated diffusion within tumor tissue.
Next, we hypothesized that CarboCell could augment the therapeutic response to ICIs. One intratumoral injection of extended release CarboCell TLR:TGFb was therefore combined with a systemically administered aPD-L1 in the MC38 tumor model (Fig. 5g). aPD-L1 monotherapy yielded no complete responders; however, a single injection of CarboCell TLR:TGFb combined with aPD-L1 did result in 50% complete responders compared to 25% for CarboCell TLR:TGFb monotherapy (Fig. 5h, i). The treatment was well tolerated, which supports the potential of CarboCell as part of a multi-targeted therapeutic approach (Supplementary Fig. 12a, b).
The combination of liposomal oxaliplatin (lip OxPt) and systemic R848 was previously demonstrated as a potent chemo-immunotherapeutic combination55. We, therefore, decided to test the CarboCell system in combination with lip OxPt with or without the addition of a systemically administered programmed cell death 1 (PD-1) antibody. As in the radio-immunotherapy studies, we used CarboCells formulated with 2.5 times lower TLR7/8a dose. The combined CarboCell TLR and lip OxPt treated group displayed potent anticancer activity with 67% complete responders in the CT26 model (Supplementary Fig. 13a–c). Encouragingly, addition of PD-1 antibody to the combination of CarboCell TLR and lip OxPt in the CT26 tumor model yielded a 100% complete response rate (Supplementary Fig. 13d–f).
CarboCell is tolerated in experimental canine model
Lastly, to validate that the release kinetics and tolerability observed in mice could be translated into larger animals, we investigated the effects of s.c. injection of large volume CarboCell TLR:TGFb depots (Supplementary Fig. 14a) in laboratory beagle dogs. CarboCell depots were surgically collected at day 7 or day 14 as well-confined viscous depots and analysis validated that both TLR7/8a and TGFβi were continuously released beyond the 14 days period (Supplementary Fig. 14b). None of the dogs displayed adverse reactions or failures to thrive throughout the study period (Supplementary Fig. 14c–h). The tolerability of CarboCell TLR:TGFb was therefore found to be highly promising for further advancement of the CarboCell system.
Discussion
Intratumoral immunotherapy has been subject for debate. Irrespective of this, solid evidence supports that the anticancer immune response is generated in the tumor, peritumoral tissue, and tumor associated lymphatic tissue1. This makes the tumor a strategic target for cancer immunotherapy, which is underlined by the high number of technologies and strategies that have been pursued to achieve tumor-directed immune activation1,10,11,12,14,56. Notwithstanding these efforts, no technology has yet successfully progressed into a clinical product. Studies on systemic tumor-targeting technologies have demonstrated poor tolerability. Recent clinical data for HER2 targeting TLR conjugates reported a narrower-than-anticipated therapeutic window and high-grade adverse effects during dose escalation in addition to disappointing therapeutic activity27.
The CarboCell system was, therefore, developed as a flexible, tolerated, and broadly applicable platform technology for sustained delivery of a single drug or drug combinations directly in the antigen-rich tumor. The CarboCell technology achieves three key therapeutic goals: (i) uses the tumor as a source of cancer associated antigens, (ii) continuously activates the TME, and (iii) links the innate and adaptive immune response to maintain a proinflammatory milieu in the tumor. The plasticity and reactivity of intratumoral immune cells and the time required to establish an adaptive immune response makes continuous activation central to avoiding rapid reversal of the TME to an immunosuppressive status. This may be essential for establishing a systemic polyclonal antitumor response and could explain the clinical failure of a free drug intratumoral TLR9 technology, in which the primary endpoint of objective response rate was not met57.
Multi-targeted immunotherapy improves the therapeutic response rates, but it has also been associated with increased adverse reactions58,59. Remarkably, we demonstrated improved therapeutic efficacy for our combinatorial CarboCell TLR:TGFb without compromising tolerability. Increased activation of both the innate and adaptive immune system upon CarboCell injection was observed across a range of heterogenous TMEs in all evaluated models. Importantly, we observed a substantial benefit of intratumoral CarboCell TLR:TGFb in the tdLNs, on the systemic anticancer response, and on the pulmonary metastasis formation. This observation makes CarboCell highly attractive as monotherapy as well as in combination regimens with neoadjuvant radiotherapy.
The observed systemic anticancer response after injection with CarboCell indicates that well-coordinated adaptive immune responses have been established.
The TCR sequence overlap between the injected and uninjected tumors in the same mouse is an important observation. This suggests a systemic immune response induced by the local immunotherapy. The high degree of overlap implies that T cells in the treated tumor are also recognizing and responding to the untreated tumor following circulation of activated T cells.
This ability to link the innate and adaptive immune response and improve T cell activation is highly attractive for combination with immune checkpoint inhibitors, as they are inherently dependent on an adaptive response60,61,62. The value of CarboCell-mediated immune activation was shown by the observed therapeutic potentiation of both aPD-L1 and aPD-1 therapy.
The core of the CarboCell technology is comparable to a multimodal fiducial marker system for which we previously demonstrated injectability and depot-forming characteristics in both translational models and cancer patients32,33,63. Contrary to oil-based depots, the current carbohydrate ester-based technology displays an approximate 1000-fold increase in viscosity upon injection, which provides depot stability and prevents fragmentation32. In comparison to alternative technologies, CarboCell is very adaptable in terms of drug incorporation and release rates. These parameters can be adjusted, even for multi-drug combinations, by simple ratio variations of the CarboCell base components. Achieving controlled, sustained release of small molecular drugs has been reported as highly challenging for competing technologies34. TLR7/8 loaded hydrogels are being advanced both clinically and preclinically for intratumoral injection28,29. Hydrogels, however, display rapid release of small molecules or necessitate polymer-drug conjugates with increased chemical complexity, resulting in higher production cost. Whereas the integrity of hydrogels is governed by polymer-polymer and polymer-water interactions, CarboCell is non-polymeric and self-coalescent due to its hydrophobic nature. Hydrogels in addition contain water, posing the risk of premature drug hydrolysis and imposing constraints on shelf-life. CarboCell is a non-aqueous liquid and has a completely scalable production setup which underlines the value of the current system. All steps in the CarboCell manufacturing process can further be automated; and, all base components, including several small molecular drugs, are available in GMP quality. Long-term stability has further been demonstrated for CarboCell formulations and stability following product sterilization by steam has been established (Supplementary Fig. 23, Supplementary Tables 8–11). These features are major advantages when compared to existing technologies that require advanced formulation, fabrication, and synthesis (e.g., nanostructures or drug conjugates with challenging scalability34,64).
The therapeutic value of the CarboCell technology remains to be explored in human cancer patients where the clinical potential may be limited to cancers expressing antigens applicable for presentation and recognition by the immune system. We do, however, believe that the single-agent therapeutic performance of combinatorial CarboCell as well as the synergistic effect of CarboCell with clinically approved therapies underlines the translational value of the technology. In this regard, the easy adaptation of imaging contrast in the CarboCell system provides not only image guidance during the injection but also enables clinicians with the possibility to validate the CarboCell location for safety and performance evaluation during clinical trials. The ability to delineate CarboCell on combined anatomical and functional imaging features further allows clinicians to plan injections accordingly (e.g., to evaluate PET based metabolic activity31,65). Injectability through thin needle technologies is a further attractive feature as clinical data supports that decreasing needle size reduces the risk of morbidity associated with intratumoral procedures66.
Drug release from CarboCell injections in mice was demonstrated to last beyond one week and more than two weeks for the CC-ER composition. Extending the period of release lowers the number of required injections, which is important to reduce the risks of cancer cell seeding and dissemination from needle punctures67,68. Higher compliance of patients and medical personnel is an expected benefit of fewer administrations. Prolonged release and reduced number of injection procedures are furthermore a prerequisite if more advanced injection technologies and clinical procedures are to be feasible with respect to their complexity and costs.
In summary, the flexible CarboCell system provides a solution to achieve sustained intratumoral release of multiple small molecular drugs in therapeutically relevant doses with minimal systemic spillover.
Methods
Study design
The study objective was to demonstrate the anticancer activity of the intratumoral CarboCell technology. This was investigated for a TLR7/8a with or without the addition of a TGFβi. Release kinetics and biodistribution was determined using direct truly quantitative methods. Efficacy studies were conducted in syngeneic murine cancer models alone or in combination with chemotherapy, immune checkpoint inhibitors, or RT. Tolerability was evaluated in mouse models and laboratory beagle dogs. Mechanistic evaluation of the therapeutic response was conducted using flow cytometry, ELISA, qPCR, and IHC. With one exception, the mice in all efficacy studies were randomized into treatment groups based on tumor size. The mice in the study with splenocyte transfer were randomized according to the presence of palpable tumors. Power analysis was not performed to predetermine sample size, but sample size was chosen based on previously published studies. Researchers were not blinded during the studies. The studies, study design, results and finding are not specific towards any sex or gender. Sample size for each experiment and statistical methods are described in figure legends. All studies and procedures involving animals were performed under license from the Danish National Animal Inspectorate (mice) or Hungarian Animal Research license (Beagles) and all study procedures were approved by the Institutional Ethical Administrative Committee at the Technical University of Denmark or Copenhagen University. The maximum tumor burden in studies involving mice was according to license 2 g, or 10% of the total bodyweight.
Preparation of CarboCell CC and CC-ER
CarboCell was formulated with the TLR7/8a Resiquimod, R848, (Ark Pharm or AmBeed) and the TGFβi RepSox (Selleckchem) unless stated otherwise. CarboCell was prepared by weighing each component (sucrose octabenzoate (SuBen), glycerol trioctanoate (GTO), ethanol (EtOH), polylactic acid (PLA, Mw 10000-18000Da)) in the amount corresponding to the weight percentage (or weight ratio) of each composition (Supplementary Table 1). Each mixture was placed in an ultrasonication bath at 70–80 °C for 1.5–2 h and occasionally vortexed until obtaining a clear, homogeneous solution. R848 and/or RepSox were incorporated in the composition by proportionally adding CarboCell on top of pre-aliquoted drug. CarboCell was subjected to magnetic stirring at 40–50 °C until the drugs were completely dissolved. CarboCell was stored in sealed glass vials at 4 °C until use. SuBen, GTO, and PLA was obtained from Sigma Aldrich and ethanol from VWR Chemicals.
CarboCell TLR:TGFb in vivo release kinetics
Female BALB/c mice were injected s.c. with 50 μL of CarboCell TLR:TGFb compositions. R848 and RepSox content was measured 24 h, 3 days, 7 days, and 10 days after injection. Depots were immediately dissolved in 1 mL acetonitrile and incubated at 25 °C overnight. The samples were filtered using 0.45 μm pore nylon syringe filters and diluted five times. As reference material, 10 µL of each CarboCell TLR:TGFb composition were dissolved in 1 mL acetonitrile. Samples were analyzed on a Shimadzu Nexera-X UHPLC. Samples were injected (5 μL) onto a Waters Terra XBridge BEH C8 column (2.5 μm, 4.6 × 75 mm) at 25 °C, 0.8 mL/min. The solvent system consisted of mobile phase A (5% acetonitrile, 0.1% TFA in water) and mobile phase B (0.1% TFA in acetonitrile). The gradient was 0% B for 1 min, 0 to 100% B in 5 min, 100% B for 2 min, 100% B to 0% B in 0.5 min, 0% B for 1.5 min. UV detection was used to measure the content of R848 (320 nm), RepSox (320 nm), and SuBen (280 nm). The release kinetics of R848 and RepSox was determined by ratiometric analysis. The AUC values were measured to calculate ratios of R848/SuBen and RepSox/SuBen in all samples. Released drug was calculated by comparing AUC ratio in collected CarboCell with the corresponding ratios in the reference material.
Formulation of CarboCell and free drug solutions containing tritium-labelled TLR7/8a R848
CarboCell with 3H-labelled TLR7/8a was prepared by pipetting the [3H]-R848 stock (Hartmann Analytic, 330 µL, 12 MBq) in a glass vial and removing the EtOH under a stream of argon for 10 min. CarboCell TLR (1.2 mg/mL R848, CC-4, 1.71 g, 1.62 mL) was then added to the dry residue and the mixture was magnetically stirred at 30 °C for 30 min. After complete stirring, the entire mixture was transferred to a glass vial, resulting in a transfer of 1.68 g (1.59 mL). The homogeneity and radioactivity concentration of the solution was tested in two samples of 36.2 mg (34.5 µL) and 28.2 mg (26.9 µL), removed from the vial. These samples were diluted with EtOH to 5 mL and from each diluted solution, 200 µL was added to a scintillation vial (Perkin Elmer) containing 10 mL Ultima Gold (Perkin Elmer), before analysis by liquid scintillation.
The free drug solutions for i.t. and i.v. administration were prepared by drying down the [3H]-R848 stock (459 µL, 18 MBq) as above. A solution of R848 in PBS (1.2 mg/mL, 2.40 mL) was then added to the dry residue. The mixture was stirred for 1 h at 40 °C. From the resulting mixture, 1.22 mL was collected for i.t. injections (1.2 mg/mL [3H]-R848 in PBS). From the same mixture, 1.10 mL was collected and mixed with 1.10 mL PBS, to generate the i.v. injection sample (0.6 mg/mL [3H]-R848 in PBS). From each of the PBS solutions, 2 × 10 µL was removed to test for homogeneity and radioactivity concentration. These were diluted to 1 mL with EtOH and 200 µL was added to a scintillation vial containing 10 mL Ultima Gold.
Pharmacokinetics and biodistribution
Mice were injected with [3H]-R848 administered i.v. in PBS (3.75 MBq/mL [3H]-R848, 3 mg/kg R848), intratumoral in PBS (7.5 MBq/mL [3H]-R848, 3 mg/kg R848) or intratumoral with CarboCell composition as previously described (7.4 MBq/mL [3H]-R848, 3 mg/kg R848, CC-4, Supplementary Table 1). The stated activity concentrations are nominal but correspond to measured activity values. Collected blood and tissue samples were dissolved in Soluene 350 (Perkin Elmer) and/or EtOH (1-6 mL) and heated overnight (60 °C). Hydrogen peroxide (30%, 0.2 mL) was added followed by heating (30 min. at 60 °C). 200 µL sample solution was transferred to liquid scintillation containing 10 mL Ultima Gold (Perkin Elmer). Specific tritium content was determined by liquid scintillation counting.
Liquid scintillation [3H]-R848
Tritium content was measured by liquid scintillation counting on a Hidex 300 SL, using the double coincidence detection tritium setting (Hidex, Finland). Samples in scintillation liquid were allowed to settle for 24 h and counted until a minimum of 1600 counts or for a maximum of 10 min. After initial counting, aliquots of tritiated water with known activity levels (270000 CPM/aliquot) were spiked into each sample and the samples recounted to quantify the sample matrix quench. The counting efficiency (CE) for each sample was determined as CE = [A(CPM of spiked sample) - A(CPM of sample)] / A(CPM of spike in PBS). Subsequently, the matrix quench corrected sample activity (AQC) was obtained as AQC = A(CPM of sample) / CE, where CE is the sample specific counting efficiency. The results were reported as percent injected dose per gram (%ID/g) or percent injected dose per organ/tumor (%ID/tumor).
In vivo CarboCell volume monitoring by CT
BALB/c mice carrying s.c. CT26 tumors (90 mm3) were treated with three doses of oxaliplatin loaded liposomes (8 mg/kg) followed by four intratumoral injections of xSAIB containing CarboCell TLR. Under general anesthesia ( ~ 4% sevoflurane) mice were CT scanned (nanoScan Mediso Medical Imaging Systems) 24 h after each CarboCell administration. Image analysis was performed using Inveon software (Siemens Medical Systems). A manual ROI covering the tumor volume were constructed and volume of the CarboCell determined by segmentation using a threshold of > 400 Hounsfield units.
Mice and cell lines
Female mice were obtained at 5–7 weeks of age (BALB/c, BALB/c-nu (BALB/cAnN-Foxn1nu/nu/Rj) or C57BL/6 from Janvier and Charles River). Mice housed in IVC2 or IVC3 cages with bedding material, and environmental enrichment provided running a 12-hour light cycle and ad lib standard chow and water. CT26, EMT-6, A20, and 4T1. CT26, EMT-6, A20, and 4T1 cells were obtained from the American Type Culture Collection (ATCC) with the following catalog numbers: CT26 (CRL-2638), EMT-6 (CRL-2755), A20 (TIB-208), and 4T1 (CRL-2539™). MC38 cells were obtained from Kerafast (Catalog #: ENH204). All cells were maintained in RPMI 1640 medium (GibcoTM or Sigma-Aldrich), except EMT-6 cells which were maintained in DMEM (GibcoTM). Media were supplemented with 10% fetal bovine serum (GibcoTM or Biowest) and 1% penicillin-streptomycin (GibcoTM or Sigma-Aldrich). A20 cells were further supplemented with 0.05 mM 2-mercaptoethanol (GibcoTM). Cell lines were cultured in a humidified tissue culture incubator at 37 °C with 5% CO2. Cells were subcultured when confluent and Trypsin-EDTA (0.25%) (Thermo Fisher Scientific) was used to remove adherent cells.
In vivo mouse therapy studies
Tumors were established in 6–11 weeks old female BALB/c (3 × 105 CT26 cells/tumor, 5 × 105 EMT-6 cells/tumor, 5 × 105 A20 cells/tumor, 0.5 × 105 4T1 cells/tumor (6-thioguanine clonogenic assay), or 1 × 105 4T1 cells/tumor) or C57BL/6 (3 × 105 MC38 cells/tumor) mice. The mice were inoculated by s.c. injection of cells in 100 μL serum-free medium. Tumors were allowed to reach a mean size between 70 and 199 mm3 before randomization. In the splenocyte transfer study, the mice were randomized when tumors were palpable. CarboCell injection volume was 50 μL and was injected intratumorally unless stated otherwise. Mice were anesthetized using ~3–5% sevoflurane or isoflurane during injections. RT was delivered using a small animal irradiator (1 Gy/min., 320 kV/12.5 mAs, X-RAD 320, Precision X-Ray, Inc.). Oxaliplatin loaded liposomes were formulated as previously described in ref. 55. aPD-1 (anti-mouse PD-1 (CD279), clone RMP1-14) and aPD-L1 (anti-mouse PD-L1 (B7-H1), clone 10 F.9G2) were administrated by i.p. injection.
Tumor size (volume = length x width2/2) and bodyweight was measured 2-3 times/week. Mice were sacrificed once tumors reached between 1000 mm3 and 1500 mm3 depending on the study. Mice were terminated from studies in case of ulcerations, failure to thrive, respiratory distress or weight loss >15%. Tumor-free mice were analyzed for protective immunity by contralateral injection of cancer cells (rechallenge) as described above.
Immunohistochemistry
a-MLKL IHC
Tumor sections (4 μm section FFPE) were heated to 40 °C overnight and to 60 °C for 1 h the following day before deparaffinization in Histo-Clear II (BioNordika) and rehydration. Preconditioning was performed in citrate buffer (pH 6.0) with heating until the boiling point for 15 min. The tissue slides were blocked with peroxidase-blocking solution (DAKO), pre-incubated with a 2% BSA (Sigma) solution in PBS, and incubated overnight with the primary antibody, phospho-MLKL Ser345 recombinant rabbit antibody (Invitrogen, MA5-32752) diluted in 2% BSA solution to a concentration of 1/100. The following day, the slides were incubated with the secondary antibody EnVision+ System-HRP Labelled Polymer (Anti-rabbit) (DAKO) followed by incubation with the DAB+ system (Agilent). Counter-staining was performed with Haematoxylin solution and slides were dehydrated and cover glass was mounted. Stained slides were scanned using the automated slide scanner for brightfield and fluorescence microscopy, Axio Scan.Z1 (ZEISS) and processed using the microscope software ZEN Lite 3.2 (ZEISS).
a-CD8 IHC
Tumor sections were cut (4 μm section FFPE), mounted onto adhesion slides, deparaffinized, and rehydrated to water in decreasing concentrations of ethanol. Preconditioning was performed in Tris/EDTA buffer (pH 9.0) with heating for 3 × 5 min. The tissue slides were pre-incubated with 10% normal serum (goat serum) and incubated for 1 h at 25 °C with the primary antibody, anti-CD8 alpha recombinant rabbit antibody (Abcam, ab217344) diluted in 1% BSA solution to a concentration of 1/2000. Slides were blocked with peroxidase-blocking solution (DAKO) and incubated with the secondary antibody, Goat Anti-Rabbit IgG H&L (HRP) (Abcam) followed by incubation with DAB substrate kit (Abcam) and counter staining with Haematoxylin solution. Dehydrated slides had cover glass mounted using Pertex and were imaged (LEITZ DMRB microscope, MC170 HC camera, Leica Application Suite V4.9 (Leica)).
Gene expression analysis
Quantitative polymerase chain reaction (qPCR) was performed to evaluate the expression of IRF7, CXCL9, CXCL10, CCL4, and TNF-α in tumors and tdLNs. Tumors and tdLNs were excised, placed in cryo-tubes, snap-frozen in liquid nitrogen, and stored at −80 °C until further processing.
Tumors samples ( > 40 mg) were transferred to extreme-temperature-fluctuation-resistant bags, tissueTUBE TT05 Extra Thick (Covaris), immersed in liquid nitrogen, and pulverized using the CryoPREP Automated Dry Pulverizer (Covaris). 20 mg of smashed tumor tissue was transferred to CKmix bead beating tubes together with 350 μL RLT lysis buffer (QIAGEN) and 1% β-mercaptoethanol. Tumor samples ( < 40 mg) and tdLNs were added directly to bead beating tubes. The samples were homogenized (Precellys Evolution, Bertin Instruments, settings: 25 s, 0 °C, 6000 RPM, 2 cycles). Afterwards samples were spun down at ≥ 12.000 g, 4 °C, 3 min. A maximum of 350 μL of supernatant was transferred to 2 mL RNase-free Eppendorf-tubes. RNA extraction was carried out by column-based separation on the QIAcube connect instrument (QIAGEN) following the manufacturers protocol: “RNease miniprep with DNase digest”. The concentration of RNA was determined on the NanoDropTM One Microvolume UV-Vis Spectrophotometer (Thermo Fisher Scientific) and the samples were stored at −80 °C until further processing.
cDNA was synthesized in strip-tubes from 300 ng extracted RNA by reverse transcription (RT)- PCR using the High-Capacity RNA-to-cDNATM Kit (Thermo Fisher Scientific) by following the manufacturer’s instructions. To check for genomic contamination, a no template control sample was run without RNA. The RT-PCR was performed on the Eppendorf Mastercycler Gradient PCR instrument, under the thermal conditions (37 °C for 60 min., 95 °C for 5 min.) and stored at −20 °C for qPCR analysis.
qPCR was performed by mixing 2 μL cDNA with 18 μL PCR-grade water containing 50% TaqMan Fast Advanced Master Mix (ThermoFischer Scientific) and 5% FAM-MGB fluorophore-conjugated primer and probes mixtures (TaqMan Gene Expression Assay primers and probes, Thermo Fisher Scientific) for each gene of interest (see Supplementary Table 12 for an overview of primers and probes) and housekeeping genes (Gapdh and Ldha). A control sample without cDNA were included to ensure the purity of the samples and reagents. The samples were run in non-skirted 96-well plates sealed with optically clear flat 8-cap strips (ThermoFischer Scientific) on the Mx3005p qPCR instrument (Agilent Technologies) under thermal conditions (95 °C for 3 min., 40 cycles of 95 °C for 30 s, 60 °C for 60 s).
Before running the qPCR samples, all primers and probes were examined to optimize the settings of the Mx30005p qPCR instrument. The primer and probes were tested by creating a fivefold serial dilution of the cDNA and the standard curve was run under the same thermal conditions as the samples. Subsequently, the settings for the raw fluorescence signal were adjusted so that the signal was detected within the optimal range of detection (6000-35000 relative fluorescence unit). Additionally, the efficiency value (R2) was calculated from the standard curve to ensure the quality of the primers and probes. R2 in the range of 85%–110 % was accepted.
All qPCR data was processed using the MxPro qPCR software (Agilent Technologies) and normalized to the two housekeeping genes. Relative gene expression was calculated as previously described in ref. 67.
Cytokine levels in murine tumor samples
Excised tumors were snap-frozen in liquid nitrogen and stored in cryotubes at -80 °C. Tumors were pulverized (CryoPREP automated Dry Pulverizer, Covaris) and resuspended in Irvine buffer (5 μL/mg tumor) consisting of 50 mM Tris-HCl, 150 mM NaCl, 10% glycerol, 1% NP-40 Surfact-AmpsTM Detergent solution (10%) (Thermo Fisher Scientific) and MilliQ water. The buffer was adjusted to pH 7.5, and 10 μL HaltTM protease and phosphatase single-use inhibitor cocktail (100X) (Thermo Fisher Scientific) was added per mL buffer before use. Samples were shaken at 300 rpm for 1 h at 4 °C and centrifuged for 15 min at 15000 rcf at 4 °C, and the supernatant was transferred to new tubes. The DNase Pierce universal nuclease for cell lysis (ThermoFisher Scientific) was added to the supernatants (0.1 μL/mL Irvine buffer). After addition of DNase, the samples were shaken at 25 °C for 1 h at 300 rpm.
CXCL10 and IFN-β concentrations were measured by ELISA using mouse DuoSet® kits (R&D systems) according to the manufactures instructions (Substrate Solution and Stop Solution, R&D Systems). Absorbance was measured at 450 and 540 nm (FLUOstar®Omega microplate reader, BMG LABTECH) using the Omega software (BMG LABTECH).
Flow cytometry
Tumors and tdLNs were placed in MACS tissue storage solution (Miltenyi Biotec) or PBS. Weighed tumors were minced and enzymatically digested (Tumor Dissociation Kit, mouse, Miltenyi Biotec) (37 °C water bath, 40 min. with shaking (4T1 tumors, 60 min.)). TdLNs and digested tumors were passed through 70 μm strainers and diluted in PBS. Cell counts were determined (MUSE® Cell Count and Viability Assay, MUSE® Cell Analyzer, Merck Millipore). 1–10 × 106 cells were Fc-blocked (5–10 min. on ice) with murine anti CD16/32 monoclonal antibodies (BD Biosciences) followed by dead cell labelling with fixable viability dye (VD)-efluor780 (eBioscience) and surface staining (30 min. on ice) with specific antibodies (see Supplementary Tables 3–8). For intracellular staining of IFN-γ, FoxP3, and GrzB cells were fixed (30 min., 25 °C) and permeabilized using the eBioscienceTM Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific). For intracellular staining of Arg-1 cells were fixed (30 min., 25 °C) using 1% formaldehyde in PBS (Sigma-Aldrich) and permeabilized using the permeabilization buffer from the eBioscienceTM Foxp3/Transcription Factor Staining Buffer Set (Thermo Fisher Scientific). See supplementary tables (Supplementary Tables 4, 7, 8) for information regarding antibodies used for intracellular staining.
The samples were acquired on a LSRfortessa X20 Flow Cytometer using FACSDiva software (BD Biosciences) and data analyzed using FlowJo software (Treestar). Spectral spillover compensation controls were included using UltraComp eBeadsTM Plus Compensation Beads (Invitrogen) and ArCTM Amine Reactive Compensation Bead Kit (Invitrogen). Debris and doublets were excluded based on forward and side scatter. Fluorescence minus one (FMO) samples were used for identification of positive and negative populations. See Supplementary Figs. (Supplementary Figs. 16–20, Supplementary Fig. 22, Supplementary Tables 2–7) for individual gating strategies.
6-thioguanine clonogenic assay in lung cells from 4T1 tumor bearing mice
Female BALB/c mice were treated every seventh day with intratumoral injection of CarboCell for a total of three injections starting seven days after inoculation with 4T1 cancer cells. Three days after last CarboCell injection (24 days after inoculation) lungs were harvested for detection of 6-thioguanine resistant cells (4T1 cancer cells). The lungs were minced, enzymatically digested (Tumor Dissociation Kit, mouse, Miltenyi Biotec) (37 °C water bath, 60 min. with shaking) and passed through 70 µm cell strainers and washed twice in Hank’s Balanced Salt Solution (GibcoTM). Cell suspensions were centrifuged at 500 g (5 min., 4 °C) and pellets resuspended in RPMI-1640 medium containing 60 µM 6-thioguanine (Sigma-Aldrich) supplemented with 10% fetal bovine serum (GibcoTM) and 1% penicillin-streptomycin (GibcoTM). The samples were serially diluted (0x, 10x, and 100x) in a 6 well tissue culture plate and placed in a humidified tissue culture incubator (37 °C., 5% CO2). After 10 days the 6-thioguanine resistant colonies were fixated with methanol (5 min., 25 °C), washed in MilliQ water, and stained with 0.025% methylene blue (Sigma Aldrich) (5 min., 25 °C) followed by a final wash in MilliQ water. Clonogenic colonies were verified by microscopy (ZEISS Axiocam ERc5s) and counted manually.
18F-FDG PET/CT
18F-FDG PET/CT imaging was performed using a small animal PET/CT system (Inveon®, Siemens Medical Systems, PA, USA). Fasted mice (12 h) were injected intravenously with 7.07 ± 0.42 MBq 18F-FDG in 0.2 mL 0.9% isotonic saline solution. PET/CT imaging (5 min. PET acquisition) was performed after 18F-FDG injection. During injection, distribution and scanning, the mice were kept anesthetized by inhalation anesthesia ( ~ 3.5% sevoflurane). Body temperature was kept stable by heating devices. PET scans were reconstructed using a maximum posteriori reconstruction algorithm (0.815×0.815×0.796 mm). Image analysis was performed using commercial software (Inveon, Siemens Medical Systems). 3D lung ROIs were manually constructed and the 18F-FDG positive lung volume determined using a lower threshold of > 1 standardized uptake value (SUV).
Evaluation of protective memory by splenocyte transfer
BALB/c mice carrying palpable s.c. CT26 tumors were preconditioned with cyclophosphamide (Sendoxan, Baxter) i.p. The following day, mice received splenocyte transfer from mice that had rejected bilateral CT26 tumors after unilateral CarboCell TLR:TGFb injection, from naïve mice, or from CT26 tumor-bearing mice. Before splenocyte transfer, spleens were passed through 70 μm strainers, diluted in PBS, and red blood cell lysis (VersaLyse Lysing Solution, Beckman Coulter) was performed. Spleens were again passed through 70 μm strainers and diluted in 200 μL PBS. Splenocytes from one spleen were transferred by i.v. injection into one mouse. Anticancer activity was evaluated as described above.
TCRβ CDR3 immune sequencing
Mice bearing bilateral CT26 tumors (established as above) received three unilateral CarboCell TLR:TGFb injections. Tumors were harvested one week after CarboCell treatment (31 days after inoculation). Untreated tumors were harvested 17 days after inoculation. Genomic DNA was extracted and purified from tumors using the DNeasy Blood & Tissue Kit (QIAGEN) according to the manufacturer’s instructions. RNA-free genomic DNA was obtained by adding 4 μl RNase A (100 mg/ml, QIAGEN). Immunosequencing of TCRβ CDR3 regions was performed using the survey ImmunoSeq Assay (Adaptive Biotechnologies, Seattle, WA).
Anti-PD-L1 antibody labelling
Anti-PD-L1 antibody (anti-mouse PD-L1 (B7-H1), clone 10 F.9G2, BioXcell) was labelled with Alexa Fluor (AF)647 fluorophore using the Rapid Conjugation System (Lightning-Link®, Expedeon). The antibody was first mixed with the Lightning-Link® Rapid Modifier, and then, with lyophilized AF647. Before mixing with the Lightning-Link® Rapid Quencher, the obtained solution was incubated for 15 min at 20 °C. For washing, the labelled antibody was loaded onto an Amicon® Ultra 4 mL spin filter (30 kDa cut-off) and mixed with PBS. Concentration of the antibody was adjusted using centrifugation at 4000 g and NanoDrop™ spectrophotometer was used to determine antibody concentration in the final solution. The antibody was stored at 4 °C until use.
Experimental procedure and sample preparation and 3D deep fluorescent imaging
Tumor-bearing mice received two i.v. injections, first, ~7.5 µg/g AF647-labelled anti-PD-L1 antibody and after two hours of the antibody circulation, the second one being 200 µl of AF555-conjugated wheat germ agglutinin lectin (1.5 µg/µl in PBS, Thermo Fisher Scientific, W32466). The lectin circulated for one hour, after which mice underwent transcardial perfusion with 30 mL of PBS followed by 20 mL of 4% methanol-free formaldehyde solution (Thermo Fisher Scientific). Afterwards, tumors were excised and postfixed in the same solution overnight at 4 °C. 2 mm-thick sections were obtained from the postfixed tumors for further processing. These samples underwent optical clearing procedure as follows: first, step-by-step dehydration in tetrahydrofuran (THF) in MilliQ water solutions (30% - 4.5 h, 50% THF – 4.5 h, 70% THF – overnight, 90% THF – 4.5 h, 100% THF – 4.5 h, 100% THF – overnight). For refractive index matching, dehydrated samples were incubated in dibenzyl ether (Merck) for at least 6 h. During all the steps of clearing procedure, samples were undergoing gentle agitation at 20 °C. After the optical clearing procedure was completed, the samples were imaged with laser scanning confocal microscope LSM 980 with Airyscan2 detector (Zeiss Microscopy). Images were acquired using 10x (with numerical aperture equals 0.3) objective in airyscan multiplex mode. For exciting AF647, we used 639 nm diode laser, and for AF555 excitation, we used 561 DPSS laser. Images from these two channels were acquired sequentially to avoid the crosstalk. Optical sectioning was done with oversampling ( ~ 2x Nyquist criteria) to achieve smoother signal in Z-plane for the lectin (vasculature) channel. Acquisition parameters including Z-correction were kept the same for all the samples.
Image processing and analysis
Acquired images underwent Airyscan reconstructioning (processing type: 3D, with fixed value of 4.2) and stitching in Zen Blue software (Zeiss Microscopy). After, images were exported to tif format and converted to 8 bit in Fiji69,70.
For obtaining binary masks of a whole tumor (including both viable and necrotic regions), images from the extravasation channel underwent 2D Gaussian filtering (σ = 30) with subsequent thresholding (pixel intensity: 1–255). For obtaining masks of what can be considered viable tumor regions based on the close proximity to vasculature, images from the vessel channel underwent 2D Gaussian filtering (σ = 70) with subsequent thresholding (pixel intensity: 11–255).
For vasculature geometry analysis, images from AF555 channel (further referred to as the vessel channel) first underwent preprocessing, which consisted of the following operations executed in Fiji. Before pseudo flat field correction, to avoid erroneous corrections of intensity in the necrotic tumor regions characterized by very low or absent signal in the vessel channel, signal level in those regions was equalized. More specifically, first, such regions were separated by creating a mask through applying 2D Gaussian blur (σ = 70) with following thresholding (pixel intensity: 3–255), resulting in all regions with no structured signal from AF555 lectin as a foreground. This mask was subtracted from the initial lectin image. Then, we subtracted a value of 242 from the mask, and added it to the image resulting from the previously described subtraction operation. In such way, all regions with low non-structured, or absent signal from AF555 lectin gained an intensity value of 3. After, pseudo flat field correction71 was applied (blurring value = 300). Then, the initial binary mask was subtracted from the corrected image of the vessel channel. The resulting image underwent pseudo deconvolution as follows: a copy of the image underwent 3D Gaussian filtering (σ(x,y)=40, σ(z)=12) and was divided by 1.25, after which it was subtracted from the corrected vessel image. At the final stage of the preprocessing, masks of the viable tumor tissue were subtracted from the vessel images. Preprocessed images were used to train a deep learning model in Zen Intellesis software72 as described earlier54. In brief, 10 different image stacks from six different tumors were used as training dataset, and 16 images, each from different tumor, were included into a validation dataset. The training algorithm was set to extract 256 image features and conditional random field73 was applied for the postprocessing. Before segmentation, the preprocessed vessel images underwent subtraction of the masks of viable tumor tissue (tissue as a background) to avoid contribution of any unstructured lectin signal from the necrotic regions into a resulting spatial graph of the vasculature. The resulting binary masks underwent postprocessing. First, the masks underwent size exclusion operation in Amira 3D (Thermo Fisher Scientific) (remove small spots module, removal threshold = <20 000 µm3 in volume). For obtaining final binary masks of the vasculature, these masks underwent 3D Gaussian blurring (σ(x,y,z)=3) and following thresholding (pixel intensity: 160–255). The resulting masks underwent 3D skeletonization in Fiji74 and were imported to Amira, where they were further refined by distance-ordered thinning with decreased sensitivity to short (potentially spurious) branches (resistance value = 50). After this, spatial graphs of vasculature were extracted. Diameter underestimation was corrected by multiplying the original segment diameter by the correction factor quantified as described below:
MD – initially measured diameter of a vessels segment
To avoid contribution from segments traced potentially erroneously (which could have arisen from high irregularity of tumor vasculature morphology), segments shorter than 3 µm and segments with more than 10 branches were excluded from the final quantification of vascular features.
For quantifying the antibody extravasation, images from AF647 channel (further referred to as AB channel) underwent 2D Gaussian filtering (σ = 2). For acquiring binary masks of extravasation, the preprocessed images were thresholded (pixel intensity: 10–255). To avoid contribution of signal coming from the antibody trapped inside the vessels, we subtracted final vessel mask from the extravasation mask. Obtained masks were further quantified as described earlier54. More specifically, the masks were imported to Amira software, where label field was created by the label analysis module recognizing separate 3D objects (extravasation foci). Due to the technical limitations, for generation of label fields, extravasation masks were each divided into two subsets (left and right). For quantification of the extravasation part in the viable tumor tissue, we subtracted masks of the viable tumor tissue (viable tissue mask as a background) from masks of total extravasation.
For defining presumably permeable vessel segments (the ones in close proximity (20 µm) to extravasation), binary masks of extravasation underwent 3D dilation through 3D maximum filtering in sphere (x, y = 44, z = 3) using CLIJ2 plugin75 in Fiji. Obtained masks were imported to Amira and after undergoing multithresholding, they were used for labelling of spatial graphs of the vasculature.
Tolerability evaluation in experimental beagle dogs
Studies in dogs were performed under Hungarian Animal Experiments License. Under general anesthesia dogs were s.c. injected in the dorsal neck region with CarboCell (CC-4, Supplementary Table 1). For injection of CarboCell dogs had a venous catheter placed in the cephalic vein and were anesthetized by i.v. injection (5 μg/kg fentanyl, 0.25 mg/kg midazolam and 0.5 mg/kg ketamine). The area between the shoulder blades was clipped and aseptically prepared for injection (23 Ga needle and 1 mL syringe) with CarboCell TLR:TGFb. Clinical examinations were performed by experienced veterinary oncologists on specified time points. Rectal temperature was measured, and blood samples collected (vacutainer system, two 2 mL EDTA and two 2 mL clot-activating serum tubes) immediately before injection of CarboCell and 4 h, 24 h, 3 days, 5 days, 7 days, 9 days, and 14 days after. Serum biochemistry (Normachem 200 (Norma Instruments, Budapest, Hungary)) and hematology (BC-2800, Mindray, Shenzhen, China) was performed on all blood samples except the 4-hour samples. Serum samples were aliquoted in two 1.5 mL Eppendorf tubes and stored at −80 °C until further analysis. On day 7 (group A) or day 14 (group B and C) dogs had the CarboCell depots surgically recovered under general anesthesia and analyzed for remaining concentration of TLR7/8a and TGFβi.
TLR7/8a and TGFβi concentration in CarboCell depots recovered from beagles
Recovered CarboCell samples were heated to 50 °C and stirred at 600 rpm to promote dissolution. The samples were subsequently filtered through 0.45 μm pore syringe filters and analyzed by RP-HPLC by Shimadzu Nexera-I with a PDA detector using a Waters XTerra RP-C8 column (5 μm, 4.6 × 50 mm). The solvent system consisted of solvent A (5% MeCN, 0.1% TFA in water) and solvent B (0.1% TFA in MeCN). The gradient was 5-100% B over 15 min. with a flow of 1.0 mL/min. Column temperature: 40 °C. Sample temperature: 21 °C. Injection volume: 10 µL. The quantification of the individual compounds R848, RepSox, and LOIB was measured at 300, 300 and 220 nm respectively. HPLC results were correlated to standard curves and the CarboCell release calculated based on the RepSox/LOIB or R848/LOIB ratio relative to the reference material ratio.
Cytokine and chemokine measurements
Serum from CarboCell injected dogs was analyzed with a canine cytokine multiplex assay (Millipore, CCYTOMAG-90K-08C premixed) on Luminex (Invitrogen). Serum samples were vortexed and centrifuged before being diluted 1:3 in assay buffer (20 µL serum and 40 µL assay buffer) and added to the plate. Premixed beads were diluted 1:2 and 25 µL was added to each well. The plate was shaken overnight at 4 ˚C at 800 RPM. Following the washing procedure with magnetic plate, the detection antibody was diluted 1:2 and 25 µL added to each well and incubated for 1 h at 25 °C and 800 RPM. Subsequently, 12.5 µL Streptavidin-phycoerythrin was added to each well and the plate was incubated for 30 min. before being washed twice. The samples were acquired by Luminex according to manufacturer’s protocol.
Statistics
Statistical analysis was performed in Prism 8 and 9 (GraphPad Software). Flow data was analyzed using FlowJo (Treestar) and analyzed in Prism. Comparison between two groups was performed with unpaired t test and comparison between multiple groups with one-way analysis of variance (ANOVA) with Tukey post hoc test for multiple comparisons unless otherwise stated in figure legends. Sequencing data were analyzed using immunoSEQ ANALYZER 3.0 (Adaptive Biotechnologies). All data are presented as the means ± SEM, unless otherwise stated. A p-value < 0.05 was considered statistically significant.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
The TCRβ CDR3 immune sequencing data generated in this study have been deposited the Array Express collection in BioStudies, accession number: E-MTAB-14247. The remaining data are available within the Article, Supplementary Information or Source Data file. Source data are provided with this paper and are also available in figshare: https://figshare.com/articles/journal_contribution/Source_data_file_xlsx/25746321 and https://doi.org/10.6084/m9.figshare.25877572. Source data are provided with this paper.
References
Murthy, V., Minehart, J. & Sterman, D. H. Local Immunotherapy of Cancer: Innovative Approaches to Harnessing Tumor-Specific Immune Responses. JNCI: J. Natl Cancer Inst. 109, 97 (2017).
Chang, S., Kohrt, H. & Maecker, H. T. Monitoring the Immune Competence of Cancer Patients to Predict Outcome. Cancer Immunol., Immunother. 63, 713–719 (2014).
Conti, M. Boosting effect of pre-existing immunity on anti-cancer immunotherapies. Front. Drug, Chem. Clin. Res. 4, (2021).
Binnewies, M. et al. Understanding the tumor immune microenvironment (TIME) for effective therapy. Nat. Med 24, 541–550 (2018).
Galon, J. & Bruni, D. Approaches to treat immune hot, altered and cold tumours with combination immunotherapies. Nat. Rev. Drug Discov. 18, 197–218 (2019).
de Lombaerde, E., de Wever, O. & de Geest, B. G. Delivery routes matter: Safety and efficacy of intratumoral immunotherapy. Biochimica et. Biophysica Acta (BBA) - Rev. Cancer 1875, 188526 (2021).
Patel, S. A. & Minn, A. J. Combination Cancer Therapy with Immune Checkpoint Blockade: Mechanisms and Strategies. Immunity 48, 417–433 (2018).
Smith, M. et al. Trial Watch: Toll-like receptor agonists in cancer immunotherapy. Oncoimmunology 7, e1526250 (2018).
Pockros, P. J. et al. Oral resiquimod in chronic HCV infection: Safety and efficacy in 2 placebo-controlled, double-blind phase IIa studies. J. Hepatol. 47, 174–182 (2007).
Hong, W. X. et al. Intratumoral Immunotherapy for Early-stage Solid Tumors. Clin. Cancer Res. 26, 3091–3099 (2020).
Marabelle, A., Tselikas, L., de Baere, T. & Houot, R. Intratumoral immunotherapy: using the tumor as the remedy. Ann. Oncol. 28, xii33–xii43 (2017).
Marabelle, A., Kohrt, H., Caux, C. & Levy, R. Intratumoral Immunization: A New Paradigm for Cancer Therapy. Clin. Cancer Res. 20, 1747–1756 (2014).
Aznar, M. A. et al. Intratumoral Delivery of Immunotherapy—Act Locally, Think Globally. J. Immunol. 198, 31–39 (2017).
Humeau, J., le Naour, J., Galluzzi, L., Kroemer, G. & Pol, J. G. Trial watch: intratumoral immunotherapy. Oncoimmunology 10, 1984677 (2021).
Diab, A. et al. Phase 1 dose-escalation study of NKTR-262, a novel TLR7/8 agonist, plus bempegaldesleukin: local innate immune activation and systemic adaptive immune expansion for treating solid tumors. J. Immunother. Cancer 8, A393 (2020).
Babiker, H. et al. 1031P Tilsotolimod engages the TLR9 pathway to promote antigen presentation and type I IFN signaling in solid tumours. Ann. Oncol. 31, S711–S712 (2020).
Cristescu, R. et al. Pan-tumor genomic biomarkers for PD-1 checkpoint blockade–based immunotherapy. Science 362, 3593 (2018).
Fridman, W. H., Pagès, F., Saut̀s-Fridman, C. & Galon, J. The immune contexture in human tumours: impact on clinical outcome. Nat. Rev. Cancer 12, 298–306 (2012).
Havel, J. J., Chowell, D. & Chan, T. A. The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy. Nat. Rev. Cancer 19, 133–150 (2019).
Vitale, I., Shema, E., Loi, S. & Galluzzi, L. Dynamic heterogeneity of cancer cells Intratumoral heterogeneity in cancer progression and response to immunotherapy. Nat. Med 27, 212–224 (2021).
Belli, C. et al. Targeting the microenvironment in solid tumors. Cancer Treat. Rev. 65, 22–32 (2018).
Patinote, C. et al. Agonist and antagonist ligands of toll-like receptors 7 and 8: Ingenious tools for therapeutic purposes. Eur. J. Med Chem. 193, 112238 (2020).
Chi, H. et al. Anti-tumor activity of toll-like receptor 7 agonists. Front Pharm. 8, 304 (2017).
Kobold, S., Wiedemann, G., Rothenfußer, S. & Endres, S. Modes of action of TLR7 agonists in cancer therapy. Immunotherapy 6, 1085–1095 (2014).
Derynck, R., Turley, S. J. & Akhurst, R. J. TGFβ biology in cancer progression and immunotherapy. Nat. Rev. Clin. Oncol. 18, 9–34 (2020).
Guerrouahen, B. S., Maccalli, C., Cugno, C., Rutella, S. & Akporiaye, E. T. Reverting Immune Suppression to Enhance Cancer Immunotherapy. Front Oncol. 9, 1554 (2020).
Klempner, S. J. et al. 209P Interim results of a phase I/Ib study of SBT6050 monotherapy and pembrolizumab combination in patients with advanced HER2-expressing or amplified solid tumors. Ann. Oncol. 32, S450 (2021).
Park, C. G. et al. Extended release of perioperative immunotherapy prevents tumor recurrence and eliminates metastases. Sci. Transl. Med 10, eaar1916 (2018).
Zúñiga, L. A. et al. Intratumoral delivery of TransCon™ TLR7/8 Agonist promotes sustained anti-tumor activity and local immune cell activation while minimizing systemic cytokine induction. Cancer Cell Int. 22, 286 (2022).
Fuglsang-Madsen, A. J. et al. Eradication of Staphylococcus aureus in Implant-Associated Osteomyelitis by an Injectable in situ-Forming Depot Antibiotics Delivery System. J. Infect. Dis. Mar. 27, jiae139 (2024).
Sheth, R. A. et al. Assessment of Image-Guided Intratumoral Delivery of Immunotherapeutics in Patients with Cancer. JAMA Netw. Open 3, e207911 (2020).
Hansen, A. E. et al. Multimodal soft tissue markers for bridging high-resolution diagnostic imaging with therapeutic intervention. Sci. Adv. 6, eabb5353 (2020).
Rydhög, J. S. et al. Liquid fiducial marker performance during radiotherapy of locally advanced non small cell lung cancer. Radiother. Oncol. 121, 64–69 (2016).
Lu, X. et al. Engineered PLGA microparticles for long-term, pulsatile release of STING agonist for cancer immunotherapy. Sci. Transl. Med 12, 6606 (2020).
Fan, D. Y., Tian, Y. & Liu, Z. J. Injectable Hydrogels for Localized Cancer Therapy. Front Chem. 7, 675 (2019).
Yavropoulou, M. P. & Papapoulos, S. E. Targeting the Wnt signaling pathway for the development of novel therapies for osteoporosis. Expert Rev. Endocrinol. Metab. 5, 711–722 (2010).
Abu Lila, A. S., Kiwada, H. & Ishida, T. The accelerated blood clearance (ABC) phenomenon: Clinical challenge and approaches to manage. J. Controlled Release 172, 38–47 (2013).
Roelcke, U. et al. PET Imaging Drug Distribution After Intratumoral Injection: The Case for 124 I-Iododeoxyuridine in Malignant Gliomas. J. Nucl. Med. 43, 1444–1451 (2002).
Gong, Y. et al. The role of necroptosis in cancer biology and therapy. Mol. Cancer 18, 1–17 (2019).
Maimela, N. R., Liu, S. & Zhang, Y. Fates of CD8+ T cells in Tumor Microenvironment. Comput Struct. Biotechnol. J. 17, 1 (2019).
Thaiss, C. A., Semmling, V., Franken, L., Wagner, H. & Kurts, C. Chemokines: A new dendritic cell signal fort cell activation. Front Immunol. 2, 31 (2011).
Groom, J. R. & Luster, A. D. CXCR3 in T cell function. Exp. Cell Res. 317, 620 (2011).
Pfirschke, C., Siwicki, M., Liao, H. W. & Pittet, M. J. Tumor Microenvironment: No Effector T Cells without Dendritic Cells. Cancer Cell 31, 614–615 (2017).
Ning, S., Pagano, J. S. & Barber, G. N. IRF7: activation, regulation, modification and function. Genes Immun. 12, 399 (2011).
Doxsee, C. L. et al. The Immune Response Modifier and Toll-Like Receptor 7 Agonist S-27609 Selectively Induces IL-12 and TNF-α Production in CD11c+CD11b+CD8− Dendritic Cells. J. Immunol. 171, 1156–1163 (2003).
Smits, E. L. J. M., Ponsaerts, P., Berneman, Z. N., van Tendeloo, V. F. I. & van Tendeloo, V. F. I. The Use of TLR7 and TLR8 Ligands for the Enhancement of Cancer Immunotherapy. Oncologist 13, 859–875 (2008).
Mosely, S. I. S. et al. Rational Selection of Syngeneic Preclinical Tumor Models for Immunotherapeutic Drug Discovery. Cancer Immunol. Res. 5, 29–41 (2017).
Galluzzi, L., Kepp, O. & Kroemer, G. Immunogenic cell death in radiation therapy. Oncoimmunology 2, e26536 (2013).
Spiotto, M., Fu, Y. X. & Weichselbaum, R. R. The intersection of radiotherapy and immunotherapy: mechanisms and clinical implications. Sci. Immunol. 1, EAAG1266 (2016).
Wang, H. et al. CD36-mediated metabolic adaptation supports regulatory T cell survival and function in tumors. Nat. Immunol. 21, 298–308 (2020).
Pulaski, B. A. & Ostrand-Rosenberg, S. Mouse 4T1 Breast Tumor Model. Curr. Protoc. Immunol. 39, 20.2.1–20.2.16 (2000).
Batlle, E. & Massagué, J. Transforming Growth Factor-β Signaling in Immunity and Cancer. Immunity 50, 924–940 (2019).
Alicke, B. et al. Immunization associated with primary tumor growth leads to rejection of commonly used syngeneic tumors upon tumor rechallenge. J. Immunother. Cancer 8, 532 (2020).
Kostrikov, S. et al. Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors. Commun. Biol. 4, 1–16 (2021).
Ringgaard, L. et al. Tumor repolarization by an advanced liposomal drug delivery system provides a potent new approach for chemo-immunotherapy. Sci. Adv. 6, eaba5628 (2020).
Ellmark, P., Mangsbo, S. M., Furebring, C., Norlén, P. & Tötterman, T. H. Tumor-directed immunotherapy can generate tumor-specific T cell responses through localized co-stimulation. Cancer Immunol. Immunother. 66, 1 (2017).
Press Release: Idera Pharmaceuticals Announces Results From Illuminate-301 Trial Of Tilsotolimod + Ipilimumab In Anti-Pd-1 Refractory Advanced Melanoma. EXTON, Pa., March 18, 2021 (GLOBE NEWSWIRE) – Idera Pharmaceuticals, Inc. (Nasdaq: IDRA; the “Company”) https://ir.iderapharma.com/news-releases/news-release-details/idera-pharmaceuticals-announces-results-illuminate-301-trial.
Wu, K. et al. The efficacy and safety of combination of PD-1 and CTLA-4 inhibitors: A meta-analysis. Exp. Hematol. Oncol. 8, 1–12 (2019).
Park, R., Lopes da Silva, L., Riano, I., Cristancho, C. & Saeed, A. Treatment-related adverse events of combination immune checkpoint inhibitors: Systematic review and meta-analysis. J. Clin. Oncol. 38, e15060–e15060 (2020).
Carretero-González, A. et al. Analysis of response rate with anti-PD1/PDL1 antibodies in advanced solid tumors: A meta-analysis of randomized clinical trials (RCT). J. Clin. Oncol. 35, e14576–e14576 (2017).
Sun, L. et al. Clinical efficacy and safety of anti-PD-1/PD-L1 inhibitors for the treatment of advanced or metastatic cancer: a systematic review and meta-analysis. Sci. Rep. 10, 1–13 (2020).
Ready, N. et al. First-line nivolumab plus ipilimumab in advanced non-small-cell lung cancer (CheckMate 568): Outcomes by programmed death ligand 1 and tumor mutational burden as biomarkers. J. Clin. Oncol. 37, 992–1000 (2019).
de Blanck, S. R. et al. Feasibility of a novel liquid fiducial marker for use in image guided radiotherapy of oesophageal cancer. Br. J. Radio. 91, 20180236 (2018).
Zúñiga L. A. et al. Intratumoral Delivery of TransConTM TLR7/8 Agonist Provides Potent Anti-tumor Activity as a Monotherapy and in Combination with IL-2 while Minimizing Systemic Cytokine Induction. J. Immunother. Cancer 7, 244 (2019).
Chang, J. et al. A robotic system for 18F-FMISO PET-guided intratumoral pO2 measurements. Med Phys. 36, 5301–5309 (2009).
Heerink, W. J. et al. Complication rates of CT-guided transthoracic lung biopsy: meta-analysis. Eur. Radio. 27, 138–148 (2017).
Hansen, N. M., Ye, X., Grube, B. J. & Giuliano, A. E. Manipulation of the Primary Breast Tumor and the Incidence of Sentinel Node Metastases From Invasive Breast Cancer. Arch. Surg. 139, 634–640 (2004).
Estourgie, S. H., Nieweg, O. E. & Kroon, B. B. R. High incidence of in-transit metastases after sentinel node biopsy in patients with melanoma. Br. J. Surg. 91, 1370–1371 (2004).
Vandesompele, J. et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3, 1–12 (2002).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
Brocher, J. biovoxxel/BioVoxxel-Toolbox: BioVoxxel Toolbox (v2.5.3). Zenodo https://doi.org/10.5281/zenodo.5986130 (2022).
Volkenandt, T., Freitag, S. & Rauscher, M. Machine learning powered image segmentation. Microsc. Microanal. 24, 520–521 (2018).
Lafferty, J., McCallum, A. & Pereira, F. C. N. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc 18th Int Conf Mach Learn (ICML) 282–289 (University of Pennsylvania, 2001).
Lee, T. C., Kashyap, R. L. & Chu, C. N. Building Skeleton Models via 3-D Medial Surface Axis Thinning Algorithms. CVGIP: Graph. Models Image Process. 56, 462–478 (1994).
Haase, R. et al. CLIJ: GPU-accelerated image processing for everyone. Nat. Methods 2019 17:1 17, 5–6 (2019).
Acknowledgements
The authors would like to thank Kasper W. Nielsen for his help with animal procedures. Furthermore, we would like to thank Susanne Primdahl for her help with IHC staining. Funding was provided by European Council grant ERC-2012-StG_20111109 (T.L.A.), The Lundbeck Foundation Fellowship grant (T.L.A.), The Novo Foundation Synergy Grant (T.L.A.), The Danish Research Council for Independent Research Sapere Aude grant (T.L.A.).
Author information
Authors and Affiliations
Contributions
Conceptualization: S.B.J., D.E.J., T.B.E., J.S.J., A.K., J.R.H., A.E.H., T.L.A. Formal Analysis: S.B.J., D.E.J., T.B.E., J.S.J., S.K. Investigation: S.B.J., E.S.C., H.R.H., T.B.E., J.S.J., S.K., M.J.S., U.J.B., L.R., L.M.B., C.S., D.E.J., E.C., M.B., J.T., L.B., A.T.I.J., F.M. Resources: A.K., T.L.A. Writing – original draft: S.B.J., S.K., A.E.H., J.R.H., T.L.A. Writing – review & editing: S.B.J., D.E.J., E.S.C., H.R.H., T.B.E., J.S.J., S.K., L.R., L.M.B., C.S., E.C., J.T., A.T.I.J., J.R.H., A.E.H., T.L.A. Visualization: S.B.J., D.E.J., E.S.C., S.K., T.B.E., J.S.J., A.E.H., J.R.H. Supervision: J.R.H., A.E.H., T.L.A. Project administration: S.B.J., D.E.J., E.S.C., T.B.E., J.S.J., S.K., J.R.H., A.E.H., T.L.A. Funding acquisition: T.L.A.
Corresponding author
Ethics declarations
Competing interests
Authors: T.L.A., J.R.H., A.E.H., F.M., E.S.C., L.M.B., T.B.E. are co-inventors on patents covering the CarboCell technology described in this work. The patents are owned by the Technical University of Denmark (US11065201B2: Gel formulations for local drug release and US2022339285A1: Disaccharides formulations for controlled drug release). Remaining authors declare that they have no other competing interests.
Peer review
Peer review information
Nature Communications thanks Bruce Smith, Wantong Song and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Jensen, S.B., Jæhger, D.E., Serrano-Chávez, E. et al. An in situ depot for the sustained release of a TLR7/8 agonist in combination with a TGFβ inhibitor promotes anti-tumor immune responses. Nat Commun 15, 7687 (2024). https://doi.org/10.1038/s41467-024-50967-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-024-50967-w