Abstract
Introduction
Natural killer (NK) cells are innate lymphocytes with a key role in the defense against tumors. Recently, allogeneic NK cell-based therapies have gained interest because of their ability to directly lyse tumor cells without inducing graft-versus-host disease. As NK cells are also able to influence the function of other immune cells (most notably dendritic cells (DC)), a better understanding of the effects of allogeneic NK cell products on the host immune system is required. In this study, we analyzed the effects of an allogeneic off-the-shelf NK cell product, on the tumor microenvironment (TME) of primary and metastatic colorectal cancer (pCRC and mCRC, respectively). Moreover, we explored if the combination of NK cells with R848, a toll-like receptors 7/8 ligand, could further enhance any pro-inflammatory effects.
Methods
Ex vivo expanded umbilical cord blood stem cell derived NK cells were co-cultured with pCRC or mCRC single-cell suspensions in the presence or absence of R848 for 5 days, during and after which flow cytometry and cytokine release profiling were performed.
Results
NK cells efficiently induced lysis of tumor cells in both pCRC and mCRC single-cell suspensions and thereby controlled growth rates during culture. They also induced differentiation of infiltrating monocytic cells to an activated DC phenotype. Importantly, this NK-mediated myeloid conversion was also apparent in cultures after tumor cell depletion and was further enhanced by combining NK cells with R848. Moreover, NK cells, and to a greater extent, the combination of NK cells and R848, triggered CD8+ and CD4+ T-cell activation as well as a reduction in activated regulatory T cell rates. Finally, the combination of NK cells and R848 induced a pro-inflammatory shift in the cytokine release profile resulting in higher levels of interferon (IFN)-γ, interleukin (IL)-2, IL-12p70, and IFN-α as well as a reduction in IL-6, in both pCRC and mCRC cultures.
Conclusion
Allogeneic NK cells engaged in favorable myeloid crosstalk, displayed effective antitumor activity and, when combined with R848, induced a pro-inflammatory shift of the CRC TME. These findings prompt the investigation of NK cells and R848 as a combination therapy for solid tumors.
Keywords: killer cells, natural; dendritic cells; immunotherapy; tumor microenvironment
WHAT IS ALREADY KNOWN ON THIS TOPIC
Allogeneic natural killer (NK) cells are gaining interest in the field of cancer immunotherapy because of their ability to directly lyse tumor cells without inducing graft-versus-host disease. Moreover, in mouse models and in in vitro models of human monocyte-derived dendritic cells (DC) NK cells have been shown to activate DC through contact-dependent crosstalk.
WHAT THIS STUDY ADDS
Here, for the first time, the effects on the human tumor microenvironment of a clinical-stage allogeneic NK cell product were studied in short-term co-cultures with patient-derived single-cell suspensions of primary and metastatic colorectal tumors. We show that these NK cells not only controlled tumor growth but also induced the differentiation of infiltrating monocytic cells to an activated DC-like phenotype. Moreover, alone, but to a greater extent in conjunction with the toll-like receptors 7/8 agonist R848, the NK cells triggered activation of tumor-infiltrating CD8+ and CD4+ T cells, reduced activated regulatory T cell rates, and induced a pro-inflammatory cytokine and chemokine release profile.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
These findings indicate that allogeneic NK cells may enhance the efficacy of T cell-based immunotherapies and prompt further investigation of their application in the treatment of solid tumors.
Introduction
Colorectal cancer (CRC) is the third leading cause of cancer worldwide and, despite therapeutic advances, the second cause of cancer-related death.1 Over the past years, the interest in immunotherapy has risen due to its success in achieving long-term durable responses in some solid tumors such as melanoma and lung cancer.2 However, while immune checkpoint inhibitor therapies have been approved for CRC with mismatch repair deficiency or with high levels of microsatellite instability (MSI), clinical outcome in patients who are mismatch repair proficient, microsatellite stable (MSS) or with low levels of MSI, have so far been disappointing, underlining the need for new therapeutic strategies.2
Natural killer (NK) cells are innate lymphocytes, mostly known for their ability to lyse virus-infected and cancer cells in absence of prior immune sensitization.3 Multiple studies have shown that a lower NK cell percentage in blood and lower numbers of infiltrated NK cells in the tumor in patients with CRC correlates with poor overall survival.4 5 In addition, NK cells derived from patients with CRC often show impaired cytotoxic functionality compared with healthy donors.6 These findings hint at a role for NK cells in CRC tumor control. Recently, the use of allogeneic NK cells as an anticancer therapy has caught the attention of the scientific community due to the anticancer activity of allogeneic NK cells in the absence of graft-versus-host disease.7 8 Clinical successes were achieved with allogeneic NK cell therapy for the treatment of acute myeloid leukemia but challenges in the treatment of solid tumors remain, such as migration to the tumor and the immunosuppressive tumor microenvironment (TME).9 New strategies to overcome these issues are currently being developed, such as genetic modification of NK cells to increase migration efficacy or combination therapies to overcome immunosuppression in the TME.
Besides their direct cytotoxic capacity, NK cells can also affect antitumor immunity through their crosstalk with other immune cells.3 In particular, NK cells were shown to crosstalk with dendritic cells (DC), that is, professional antigen presenting cells, vital for priming and recruitment of effector T cells, and characterized by high phenotypic plasticity.10 NK cells have been shown to induce the migration and the maturation of DC, via the production of cytokines (eg, interferon (IFN)-γ and tumor necrosis factor (TNF))11 and chemokines (eg, X-C Motif Chemokine Ligand (XCL)1 and C-C Motif Chemokine Ligand (CCL)5)12 as well as via contact-dependent interactions.11 13 14 Vice versa, DC were found to influence NK cell activity through the release of various cytokines (eg, IFN-α/β, interleukin (IL)-12, IL-18, and IL-15), enhancing their survival, activation and proliferation.11 Importantly, NK-DC crosstalk can mediate cytotoxic and helper T-cell activation in patients with cancer, leading to increased response to immune checkpoint inhibitors.15 DC comprise a variety of subsets including conventional DC subsets (cDC1-cDC3), plasmacytoid DC, and inflammatory monocyte-derived DC (MoDC).16 In the TME, the function of DC can be compromised by various immune suppressive factors, mostly soluble and derived from tumor cells and fibroblasts, including IL-6, IL-10, and prostaglandins, leading to hampered DC differentiation and maturation.17 The high plasticity of the myeloid lineage complicates the distinction between in particular cDC2, MoDC and monocytes/macrophages and most profoundly so in the TME, where variations in (immune suppressive) cytokine profiles result in a spectrum of macrophage-like and DC-like states that can transition into one another, although in general tumor-promoting M2-like macrophages dominate.16 18 Thus, besides investigating the direct efficacy of an adoptive NK cell therapy, it is equally important to explore the immune modulatory effects of NK cell therapy in the TME of the host.
In this study we demonstrate that an off-the-shelf allogeneic NK cell therapy, further referred as NK cells, derived from expanded and differentiated umbilical cord blood (UCB) CD34+ hematopoietic stem cells, controls the growth of tumor cells in co-cultures of patient-derived primary or metastatic CRC (pCRC and mCRC, respectively) single-cell suspensions (SCS) as well as induces a shift in monocytic myeloid cells (MoMC) from a macrophage to a DC phenotype and T lymphocyte activation. Moreover, we investigated the combination of NK cells with R848, an agonist for the toll-like receptors (TLR)7/8, which are expressed by various immune cells (including DC, monocytes/macrophages, T cells and NK cells).19 As TLR7/8 engagement was shown to mediate antitumor responses,20 we explored whether R848 could induce a more pro-inflammatory TME and thereby support the migration and antitumor activity of NK cells. We show that this combination further enhanced myeloid differentiation and maturation as well as lymphocyte activation. Thus, our data support further exploration of combined allogeneic NK and TLR agonist-based therapies to condition the CRC TME in support of more effective immunotherapy.
Methods
Hematopoietic stem cell isolation and NK cell culture
The off-the-shelf allogeneic NK cell product (GTA002) (Glycostem Therapeutics, Oss, The Netherlands) was derived from expanded and differentiated CD34+ hematopoietic stem cells. The hematopoietic stem cells were selected from UCB and cultured into fully activated CD56+ NK cells over 28 days and subsequently cryopreserved as previously described.21 On thawing, the cells were cultured for an additional 5–7 days before use, using the same protocol as before freezing.
Collection and dissociation of primary and metastatic CRC samples
Untreated pCRC and mCRC tissue samples were collected from patients on informed written consent at the Amsterdam UMC (location VU University Medical Center).22 23 pCRC samples were collected as part of an autologous tumor cell-based vaccination trial from patients with stage I/II CRC.22 mCRC samples were collected from patients with peritoneal metastasis scheduled for cytoreductive surgery before the start of hyperthermic intraperitoneal chemotherapy. The samples were enzymatically dissociated into SCS and cryopreserved as previously described.22 23
Co-culture of pCRC-SCS and mCRC-SCS and NK cells
pCRC-SCS and mCRC-SCS were co-cultured with NK cells in a 1:1 ratio in the presence or absence of R848 (10 µg/mL, Invivogen). The 1:1 ratio was based on the whole SCS as quantified using a microscope-based counting chamber. 6×105 cells from the SCS were plated with and without 6×105 NK cells. The cells were incubated at 37°C in a 5% CO2 humidified atmosphere in a 24 wells plate (Corning) in 600 µL of Roswell Park Memorial Institute medium (RPMI; Gibco) supplemented with 10% fetal calf serum (FCS; Sartorius), 100 U/mL penicillin, 100 µg/mL streptomycin, 0.3 mg/mL glutamine (PSG; Gibco), 0.05 mmol/L 2-mercaptoethanol (2-ME; Merck) and gentamicin/amphotericin (Gibco). After 2 and 5 days, supernatant was collected, cells were harvested with trypsin (Gibco) and subsequentially stained for flow cytometry analysis. Baseline (day 0) staining was also performed. To assess the possible effect of NK cell-mediated tumor control on monocytic differentiation, similar assays were performed by co-culturing tumor cell-depleted pCRC-SCS in the presence or absence of NK cells and/or R848. Due to variable epithelial cell adhesion molecule (EpCAM) expression on tumor cells, the tumor depletion was performed by isolating the CD45+ fraction by magnetic bead-activated cell sorting using CD45 MicroBeads (Miltenyi Biotec) according to the manufacturer’s instructions. The mean purity after isolation was 96.3% (SEM: 0.9).
Flow cytometry
Immunophenotypic analyses were performed using flow cytometry (LSRFortessa, BD). A list of all the fluorochrome-conjugated monoclonal antibodies (mAbs) used for cell staining can be found in online supplemental table S1. To perform cell surface staining, the SCS were incubated with mAbs for 20–30 min at 4° in phosphate-buffered saline (PBS, Fresenius Kabi) supplemented with 0.1% bovine serum albumin (Thermo Fisher Scientific) and 0.02% NaN3 (Merck) (fluorescence-activated cell sorting (FACS) buffer) and subsequently washed with FACS buffer. For intracellular staining (FoxP3 and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4)), the FoxP3 staining kit (eBioscience) was used according to the manufacturer’s instructions. Data were analyzed using FlowJo V.10.8.1 (BD Biosciences) or Kaluza V.2.1 (Beckman Coulter).
jitc-2023-007554supp001.pdf (151.3KB, pdf)
Cytometric bead array
A cytometric bead array was performed on the supernatants collected from the cultures at day 2 and 5 according to the manufacturer’s protocol. A customized LEGENDplex (BioLegend) kit was used containing the following analytes: C-X-C motif ligand (CXCL)9, CXCL10, CXCL11, CCL4, CCL5, CCL20, TNF, IFN-α, IL-10, IFN-γ, IL-12p70, IL-2, IL-15, IL-18. For IL-6 measurements, the human IL-6 Flex Set (BD Bioscience) was used according to the manufacturer’s protocol.
Migration assay
Migration assays were performed with the supernatant collected at day 2 from the cultures of pCRC-SCS and mCRC-SCS with and without R848. NK cells were thawed 7 days prior to the assay. At the time of the migration assay, the NK cells were washed with PBS (Lonza) and resuspended in unconditioned medium (RPMI supplemented with 10% FCS, PSG, 2-ME, and gentamicin/amphotericin). Supernatants were added to the lower compartment of a 96-transwell plate with 5 µm pore filter size (Corning). As a control, unconditioned medium was added in the lower compartment to measure spontaneous migration. Subsequently, 5×105 NK cells were loaded into the transwell and allowed to migrate for 3.5 hours. After incubation, migrated cells were counted in the lower compartment. Percentage of migration was calculated as follows: % migration=(number of migrated CD56+ cells − number of spontaneous migrated CD56+ cells)/(number of total CD56+ cells − number of spontaneous migrated CD56+ cells)×100%.
Cytotoxicity assay
To explore the cytotoxic potential of NK cells, cytotoxicity assays were performed using pCRC-SCS and mCRC-SCS. The cells were co-cultured in an NK:SCS ratio of 1:1 in a total volume of 200 µL RPMI in a 96 wells plate (Sarstedt). The readout was based on absolute numbers of alive tumor cells [Epcam+CD45–7-aminoactinomycin D (7AAD)–] quantified with Quantibrite Beads (Invitrogen, Thermo Fisher Scientific) and it was performed after 1, 2, 5 and/or 7 days.
Statistical analysis
Statistical analysis was performed using GraphPad Prism software. Normality was assessed using the Shapiro-Wilk test and the statistical tests were selected accordingly. To analyze the differences between pCRC and mCRC at baseline and at day 5, two-tailed t-test or the Mann-Whitney U test were used. One-way analysis of variance (ANOVA) with Tukey multiple comparison analysis or Friedman test with Dunn’s multiple comparison analysis were used to assess the effects in co-cultures of NK cells and/or R848 on the pCRC-SCS or mCRC-SCS and vice versa. Means (and SEM) of obtained data and which statistical tests were used can be found in online supplemental tables S1–S5. Two-way ANOVA with Tukey multiple comparison analysis was used to compare the effects of NK cells and/or R848 on the tumor cell-depleted and non-depleted pCRC-SCS. Finally, a correlation analysis was performed using R V.4.0.3. The correlation coefficients were calculated using the Spearman rank-order correlation analysis. Significance is presented as p<0.05*, <0.01**, 0.001***, 0.0001****.
Results
Characterization of the myeloid and lymphocytic compartments of pCRC-SCS and mCRC-SCS
We first set out to identify and characterize the myeloid DCs in cryopreserved SCS from untreated pCRC and mCRC lesions. To this end, we gated CD45+ cells expressing high levels of HLA-DR and CD11c. To avoid contamination of B cells (that share markers with DCs), lymphocytes were excluded from our gating strategy based on scatter properties. The employed gating strategy is shown in online supplemental figure S1. At baseline, we identified three main CD45+HLA-DRhiCD11chi populations based on the differential expression of CD1c and CD14: CD14–CD1c+, CD14–CD1c–, and CD14+, the latter of which was clearly the predominant population in both pCRC and mCRC samples (figure 1A) with a slightly higher, although statistically significant, presence in mCRC samples (online supplemental figure S2A). All three subsets in pCRC were found to express both CD88 and CD89, both previously shown to be restricted to cells of monocytic origins18 24 while the subsets in mCRC mainly expressed CD89 (figure 1A), showing that all CD45+HLA-DRhiCD11chi cells detectable in both pCRC and mCRC were MoMC, most likely representing a differentiation continuum from monocytes/macrophages (CD1c–CD14+) to MoDCs (CD1c+CD14–). Predominance of the CD14+ subset is consistent with an immune suppressed milieu unsupportive of DC differentiation.25 We did not detect any bona fide CD88/89– CD141/BDCA3+ cDC1 or CD1c+ cDC2, also not when gating included the lymphocyte population and CD11cdim cells, which might have comprised cDC1 (data not shown). Of note, no baseline differences in the percentages of CD45+ and CD45– cells were found between pCRC and mCRC samples (online supplemental figure S2B).
jitc-2023-007554supp002.pdf (4.3MB, pdf)
After 5 days of culture, all CD45+HLA-DRhiCD11chi cells expressed CD1c, indicative of a shift to a more DC-like phenotype.25 Post-culture, three subpopulations could be defined based on the expression of CD14:CD14neg, CD14dim, and CD14hi (figure 1B) with the latter most likely representing a more suppressed, M2-macrophage-like phenotype.25 All three MoMC populations maintained expression of CD88 and CD89 with some variation in intensity (online supplemental figure S3). Interestingly, these populations were not equally distributed in pCRC and mCRC, as mCRC-SCS showed a higher percentage of CD14hi cells, while higher levels of CD14dim cells were found in pCRC-SCS (figure 1B,C). This difference most likely indicates a higher level of immune suppression in metastatic lesions.
At baseline and at day 5, lymphocyte content was also assessed and the distribution of CD8+/CD4+ T cells was analyzed. For the employed lymphocyte gating strategy, see online supplemental figure S4. pCRC-SCS comprised higher levels of activated regulatory T cells (aTreg; defined as FoxP3+CD45RA−CD25high)26 compared with mCRC-SCS both as baseline and after 5 days of culture, whereas no significant difference was found in CD8+ and T helper (Th) cell rates (figure 1D, online supplemental figure S2C). Analysis of supernatants after 5 days of culture revealed that mCRC released higher levels of the pleiotropic cytokines IL-10 and IL-1827 28 whereas the levels of IL-2 and IFN-γ, two cytokines produced by activated NK and T cells,29 30 were lower, again consistent with a state of more profound immune suppression (figure 1E).
Maintained activated phenotype and tumor cytolytic functionality of NK cells in the CRC TME
We assessed the migration capacity of NK cells towards the supernatant of 2-day pCRC samples. After 3.5 hours of NK cell seeding, 24.2% of the NK cells had actively migrated towards the supernatant of the pCRC samples. This was only marginally, though significantly, increased to 27.0% when R848 was added to the tumor culture (figure 2A). Despite the expected higher immune suppressive state of the mCRC samples, similar levels of active NK cell migration were observed towards the supernatant of the mCRC samples. In this setting, no R848-related benefit was observed (figure 2A). This data indicates that the TME of both pCRC and mCRC express chemokines that can actively attract NK cells.
Next, the stability of the NK cell phenotype on co-culture with pCRC and mCRC samples was assessed. Expression levels of different activating and inhibitory receptors known to affect NK cell activity were measured on NK cells at baseline and after 5 days of co-culture with either pCRC or mCRC, or without either as control. Baseline expression levels were consistent with an activated profile as previously described,31 with particularly high expression of the activating receptors NKG2D, DNAM-1, NKp44 and NKp46, and low expression of the inhibitory receptor KIR2D (figure 2B,C, online supplemental tables S2 and S3). Of note, the analysis of the corresponding ligands revealed their expression on both pCRC-derived and mCRC-derived tumor cells (online supplemental figure S5), indicating that these could potentially initiate activation of NK cells. Interestingly, the NK cell phenotype remained mostly unaffected after 5 days of co-culture with either pCRC or mCRC samples, in the absence or presence of R848, suggesting that pCRC or mCRC samples did not negatively affect the cytolytic potential of NK cells (figure 2B,C). Differences were observed for NKG2C and CD25, which was probably due to cytokine withdrawal as this effect was also observed in the medium only condition (without tumor added) (figure 2B,C). In addition, no significant direct effect of R848 was observed on NK cells after 5 days of co-culture, except for a small decrease in NKp30 expression (online supplemental figure S6A). We also determined expression levels of TLRs by whole transcriptome RNA sequencing and observed no expression of TLR7 and very low levels of TLR8 in the allogeneic NK cells (online supplemental figure S6B), supporting our finding that R848 did not directly impact the NK cells.
Finally, the cytolytic capacity of NK cells was assessed in a 5-day assay by co-culturing NK cells with pCRC or mCRC samples in the presence or absence of R848 (figure 2D). While after 1 day no significant decrease in absolute numbers of EpCAM+CD45–7AAD– tumor cells was found, at day 5, a significant reduction of the numbers of tumor cells was observed in both pCRC and mCRC samples proving that NK cells were able to efficiently control tumor growth. No added benefit from the addition of R848 was observed in this respect. More refined kinetic analysis of tumor growth control in pCRC-SCS cultures (with variable tumor HLA class-I expression levels, online supplemental figure S7A) revealed a loss of absolute numbers of live tumor cells (defined as EpCAM+CD45−7AAD−) in all conditions from day 1 to day 2 and a steady subsequent increase over time up to day 7, which was only marginally controlled by R848, but profoundly inhibited in the presence of NK cells (online supplemental figure S7B). To assess the possible contribution to the observed tumor growth control of CD8+ cytotoxic T cells, all cultures were also conducted in the presence of HLA-ABC-blocking antibodies. No differences were found in any of the conditions (online supplemental figure S7B), suggesting that CD8+ T cells did not contribute to tumor lysis.
NK cell-induced DC conversion of MoMC in pCRC and mCRC cultures
We next explored the effect of NK cells, both in the presence and absence of R848, on the myeloid compartment. pCRC-SCS and mCRC-SCS were co-cultured with NK cells and/or R848 (figure 3; online supplemental tables S4 and S5). In both pCRC and mCRC, the presence of NK cells induced CD14 downregulation on MoMC leading to a shift towards a CD14neg phenotype. Interestingly, this shift was more pronounced in pCRC where higher rates of CD14neg MoMC were reached whereas in mCRC the conversion was incomplete leading to increased levels of CD14dim MoMC (figure 3A). In pCRC, the addition of R848 further reinforced the NK cell effect and induced a more complete shift towards a DC-like state, supported by simultaneous upregulation of CD80, CD86 and CD83 on CD14neg MoMC consistent with a mature cDC phenotype (figure 3B). Of note, R848 was selected for combination therapy with the NK cells after a preliminary analysis conducted on cultures from five pCRC samples, evaluating the effect of combining NK cells with either R848, poly I:C (TLR3-ligand) or stimulator of interferon genes (STING) ligands (cyclic-di-AMP and rr-cyclic-di-AMP). These analyses showed R848 to be superior in supporting the stimulatory effect of the allogeneic NK cells on both monocyte-to-DC conversion and CD80 and CD83 upregulation on CD14neg MoMC (online supplemental figure S8). The presence of R848 in mCRC did not enhance the NK cell mediated CD14 downregulation. Moreover, no upregulation of co-stimulatory maturation markers on CD14neg MoDC was observed. Effects on the expression of T-cell immunoglobulin mucin 3 (Tim3), Programmed Cell Death Ligand 1 (PD-L1), and human blood dendritic cell antigen 3 (BDCA3)/CD141 on MoMC were also assessed and can be found in online supplemental tables S4 and S5. Finally, as NK cells were reported to selectively lyse immature DC,32 we assessed if these changes in subset distribution were accompanied by a decrease in the absolute number of CD45+HLA-DRhiCD11chi cells. No significant reductions in the absolute number of myeloid cells were found in either pCRC- or mCRC-SCS, in the presence of both NK cells and R848 (figure 3C). Rather, a trend of increased CD45+HLA-DRhiCD11chi cell numbers was observed in the pCRC samples, suggestive of their increased survival during culture.
NK cell-induced DC conversion among CRC-derived MoMC is not due to tumor cell deletion
As we demonstrated that NK cells simultaneously induced DC conversion and tumor lysis in CRC cultures, the question arose whether this effect of NK cells on the MoMC compartment could be wholly attributed to the decrease in tumor load and the associated immune suppression in the cultures. After 5 days, when tumor cells were depleted from pCRC-SCS (by positive CD45+ cell selection), NK cells still induced downregulation of CD14 on MoMC, suggesting that the observed DC-like differentiation was truly due to NK-MoDC crosstalk and not affected by mere elimination of immune suppressive tumor cells (figure 4A). Unmodulated tumor-depleted cultures did show a relative shift from a CD14hi to a CD14dim state (online supplemental figure S9), confirming that the CD14+ macrophage-like state was tumor-induced. Interestingly, while the combination of NK cells and R848 did increase the percentage of CD14neg MoMC, no differences were found in the presence of only R848 compared with the depleted tumor control (figure 4A). This indicates that, whereas in the presence of tumor cells, R848 substantially contributes to the conversion to a CD1c+CD14neg DC-like state, in the absence of tumor cells, this process is less dependent on the presence of R848 and dictated solely by NK/DC crosstalk. The expression of the DC maturation and co-stimulatory molecules CD80, CD83, and CD86 on CD14neg MoMC was also analyzed (figure 4B); maturation induction required the combination of both NK cells and R848, irrespective of the presence of tumor cells.
Higher level T-cell activation and a reduction in aTreg rates in both pCRC and mCRC induced by NK cells in combination with R848
As NK-DC crosstalk has been described to induce cytotoxic T-cell activation,11 we also tested this in our model (figure 5; online supplemental tables S4 and S5). In pCRC, the addition of NK cells induced higher levels of CD25 expression on both CD8+ T cells and Th cells whereas in mCRC this was only observed in the presence of both NK cells and R848 (figure 5A,B). Moreover, in pCRC, higher rates of CD8+CD69+ cells were found in the presence of both NK cells and R848. These results show that NK cells can induce T-cell activation in pCRC which is further enhanced by the addition of R848. In contrast, in mCRC, significant effects were only observed when NK cells were combined with R848. Interestingly, in pCRC, the combination of NK cells and R848 induced an increase in Tim3+CD8+ T cells while no effects on the expression of other immune checkpoint receptors were observed (online supplemental figure S10; online supplemental tables S4 and S5). In addition, in mCRC but not in pCRC NK cells induced CTLA-4 downregulation on Th cells (online supplemental figure S10).
In the presence of NK cells, we observed a decrease in the percentage of aTregs in both pCRC and mCRC samples as well as a decrease in absolute numbers of aTregs in pCRC, whereas in mCRC cultures, the absolute number of aTregs was significantly reduced only in the presence of both NK cells and R848 (figure 5C,D). No changes in absolute numbers of CD8+ T cells and Th cells were observed leading to a significant increase in the CD8/aTreg ratio in both pCRC and mCRC-SCS, when NK cells and R848 were combined, consistent with a more T-cell inflamed TME (figure 5E). We assessed if NK cells were able to directly lyse aTregs in the pCRC cultures (defined as FoxP3+CD45RA–CD25high), as previously reported.33 To this end, we performed a 24 hours cytotoxicity assay by co-culturing aTreg enriched pCRC samples (mean % aTreg=12.44±4.83) with NK cells (online supplemental figure S11A). As no significant decrease in the absolute number of live aTregs was observed, we concluded that NK cells did not directly induce aTreg death (online supplemental figure S11B). Finally, considering the key role of transforming growth factor (TGF)-β in aTreg development and functionality,34 we assessed whether the observed aTreg reduction was related to decreased levels of this cytokine. No differences in the levels of TGF-β were found, suggesting that other factors were involved in the observed reduction in aTreg rates (online supplemental figure S11C).
NK cell-induced changes in the pCRC and mCRC cytokine and chemokine release profiles
To better understand the effect of NK cells alone or in combination with R848 on the inflammatory state of the TME, cytokine and chemokine profiling was performed using supernatants of the 5-day pCRC or mCRC cultures (figure 6). Of note, similar cytokine and chemokine profiles were found in day 2 supernatants (online supplemental figure S12). The combination of NK cells and R848 resulted in a decrease of the pro-tumorigenic cytokine IL-635 and an increase of IFN-γ, TNF, and IL-2 levels in pCRC samples. Independently of the presence of NK cells, R848 induced higher release of IL-12p70, IFN-α, and IL-10, most likely due to the stimulation of myeloid cells (figure 6A).36 The analysis of the supernatants of mCRC-SCS showed a similar trend for IL-6, IFN-γ, and IL-2 (figure 6B). However, R848 induced a dramatic increase in IL-10 and TNF specifically in mCRC. Moreover, while R848 still induced increases in IL-12p70 and IFN-α, the levels of these cytokines were lower compared with the pCRC samples, which may be related to the differences in myeloid composition between pCRC and mCRC samples. Finally, in mCRC samples, higher levels of IL-15 were observed in the presence of NK cells (figure 6B). CCL4 and CCL5, both able to attract DCs to the TME,12 37 were secreted by the pCRC samples, and concentrations were increased on NK cell addition (figure 6C). In mCRC samples, the increase of CCL4 and CCL5 concentrations seemed to be more R848 dependent (figure 6D). The chemokines CXCL9, CXCL10, and CXCL11 are ligands for the CXCR3 receptor, which is expressed on activated effector T and NK cells and higher levels of these chemokines are known to correlate with better survival in patients with CRC.38 We found detectable levels of the effector T and NK cell-attracting chemokines CXCL9 and CXCL10 (both previously correlated to improved survival in CRC)38 in the tumor-only condition, which were increased by NK cells, R848, or the combination of both, with more pronounced differences in the mCRC samples, probably as a result of the increased TNF and IFN-γ concentrations (figure 6C,D).39 Finally, levels of the chemokine CCL20, known to contribute to tumor progression by attracting Tregs to the TME,40 were much higher in the mCRC samples (figure 6C,D). When NK cells were added, the concentration was decreased, suggesting a shift towards a less immune suppressive TME (figure 6D).
Correlation analysis revealed a dichotomy between pro-inflammatory and immune suppressive factors in both pCRC and mCRC models
A correlation matrix analysis was performed separately on the data collected from the pCRC (figure 7A) and mCRC (figure 7B) cultures, comprising all tested conditions (ie, medium control, NK cells, R848, NK cells+R848). In both pCRC and mCRC single-cell cultures, two main groups of correlating parameters were found, based on the hierarchical clustering order, revealing concerted regulation of pro-inflammatory versus immune suppressive pathways. One group comprised the percentage of CD14hi macrophage-like MoMC, the percentage of aTregs, the absolute number of tumor cells and the levels of IL-6 (ie, concerted immune suppression). The other group comprised markers of T-cell activation, Th1 cytokines (IFN-γ, IL-2, TNF), the percentage of CD14neg DC-like MoMC and, in pCRC samples, the expression of DC maturation markers (CD80, CD83, CD86) on CD14neg DC-like MoMC (ie, concerted immune activation) (figure 7B).
Discussion
Interest in off-the-shelf allogeneic NK cell therapies is increasing now that allogeneic NK cells have proven to be safe and show efficacy in hematological malignancies and, to a lesser extent, in solid tumors.41 As NK cells can also influence the activity of other immune cells, exploring the potential effects of allogeneic NK cell products on the TME is important to better understand their full mode of action. Here, we report that the allogeneic UCB CD34+ stem cell-derived NK cell therapy induced changes in the TME as modeled in short-term co-cultures of NK cells and pCRC-SCS or mCRC-SCS, either alone or in combination with R848, a TLR7/8 ligand. We observed that NK cells, especially when combined with R848, induced downregulation of CD14 on MoMC and simultaneous upregulation of DC-related maturation/co-stimulatory markers, depletion of aTregs, activation of CD8+ and Th cells, and the production of various pro-inflammatory cytokines and chemokines. NK cell products may thus present a promising new immunotherapy for solid tumors like CRC. In particular, in peritoneal CRC metastases which were shown to be predominantly CMS4 CRC tumors, characterized by high Treg and TGF-β levels and related to poor prognosis and response to systemic therapies,42 43 we observed that NK cells still provided potent growth control of tumor cells and that the combination of NK cells and R848 was able to induce a pro-inflammatory shift in the TME, despite its more immunosuppressive status than that of pCRC. In addition, as NK-DC crosstalk was shown to be involved in anti-programmed cell death protein 1 (PD-1) mAb induced antitumor responses,15 combined NK cell/R848 therapy may facilitate successful immune checkpoint blockade in relatively resistant tumors like MSS-CRC.2
In the pCRC-SCS and mCRC-SCS used in this study, we found three main subsets of CD88/CD89+ MoMC,18 24 based on different CD1c and CD14 expression. Based on our previous work,44 45 the expression of CD14 on MoMC defines different functional states with CD14neg MoMC representing a more DC-like and CD14hi MoMC a more suppressive/M2-macrophage-like subset.44 45 In line with this, in both pCRC and mCRC single-cell cultures, we observed that the percentage of CD14hi MoMC inversely correlated with the concentration of the Th1 cytokines IFN-γ, TNF, and IL-2,29 30 whereas it was positively associated with various suppressive factors (ie, the percentage of aTreg, the concentration of IL-6 and the absolute number of tumor cells). In contrast, the percentage of CD14neg DC-like MoMC positively correlated with the activation status of T cells and the release of Th1 cytokines. These differential associations are thus consistent with the proposed functional states of these CD14+ subsets.
Differential immune modulatory effects of NK cells with or without R848 were observed between pCRC-SCS and mCRC-SCS cultures. Whereas maturation of CD14neg MoMC and T-cell activation was observed on NK cell addition in pCRC samples, DC-maturation was not observed in mCRC samples and T-cell activation was limited. Strikingly, the levels of CD14neg MoMC activation in mCRC were already high in the tumor only culture, which might have been related to high levels of IL-6 and/or CRC-associated prostaglandins, which we previously showed to contribute to MoDC activation.46 In addition, higher levels of the anti-inflammatory IL-10, lower levels of the pro-inflammatory IL-2 and IFN-γ, and higher levels of CD14hi MoMC were detected in mCRC samples, suggesting a more immune suppressive TME. Higher levels of IL-18 release were also found in mCRC. IL-18 is a pleiotropic cytokine involved in the activation and differentiation of various lymphocytes28 IL-18 was shown to have pro-metastatic potential in mice47 and, similarly to IL-10, its expression levels in patients with CRC correlated with advanced tumor stages, larger tumor size, poor tumor cell differentiation, and the presence of distant metastases.40
The observed differences in the TME of pCRC versus mCRC also became apparent in a differential response to R848. In mCRC, R848 mediated a strong increase in the levels of IL-10, IL-18, and TNF accompanied by a small increase in IL-12p70 and IFN-α. In contrast, in pCRC, R848 stimulation induced higher levels of IFN-α and IL-12p70 whereas just a small increase in IL-10 was observed with no changes in IL-18 release. As all these cytokines can be produced by activated macrophages and by DC,36 47–49 these observed differences might be due to the divergent composition of the myeloid compartment. Based on these findings, it is likely that the administration of NK cells and R848 to patients with more advanced CRC, might benefit from the combination with, for example, an STAT3 inhibitor that was previously shown to counteract the detrimental effect of IL-10 on MoDC differentiation.44 It is noteworthy that despite the more suppressive TME of mCRC samples, the cytotoxic capacity of the NK cells was not affected in mCRC-SCS and no significant differences were found in the expression of key functional NK cell receptors such as NKG2D and DNAM-1, suggesting that, while a more suppressive environment can limit the pro-inflammatory effect of NK cells on the TME, it does not hamper its cytotoxic capacity.
We observed that the NK cells induced T-cell activation, and to a larger extent when combined with R848, as shown by the higher levels of CD25 and CD69 as well as by the increased concentration of IFN-γ, TNF, and IL-2 in co-cultures of NK cells and CRC-SCS. Still, CD8+ T cells did not seem to contribute to the tumor growth control observed in the presence of NK cells. However, the high NK cell-to-tumor ratio in our cultures might have limited any CD8+ T cell effect and under different circumstances (eg, in vivo) this activation might translate into a more synergistic or additive antitumor effect. Besides CD8+ T-cell activation, NK cells, alone or in combination with R848, induced a profound reduction in the percentage of aTregs. Although it has been reported that NK cells from peripheral blood can directly lyse aTregs,33 no direct cytotoxicity was found after a 24 hours co-culture with aTreg enriched pCRC samples and stem cell-derived NK cells. It has also been described that NK cells can prevent the CD28-mediated FoxP3 expression on naïve CD4+CD25− T cells via the release of IFN-γ.50 In both pCRC-SCS and mCRC-SCS cultures, the percentage of aTregs inversely correlated with IFN-γ, while it correlated with the absolute number of tumor cells and the levels of IL-6.46 Thus, the reduction in the percentage of aTregs might indeed be related to the IFN-γ-release and the pro-inflammatory shift in the TME caused by NK cells alone and, even more so, in combination with R848. In addition, a significant positive correlation between aTreg and CD14hi MoMC rates and a significant negative correlation between aTregs and CD14neg DC-like MoMC, underlines the importance of NK/myeloid crosstalk in the TME in tipping the balance in favor of a pro-inflammatory CD8 T cell/aTreg ratio. As IFN-γ is known to be involved in the NK-DC crosstalk11 and able to assist DC-mediated Th1 responses,51 it is likely that its production by NK cells is one of the mechanisms involved in NK cell-mediated inflammatory shift in the TME. In the current study we did not further delineate the mechanisms that directly drove the NK-myeloid crosstalk because of limited numbers of myeloid cells present in the samples. We did try to dissect these mechanisms in MoDC cultures. While CD154 and NKp30 were previously described to mediate the NK-MoDC crosstalk,13 14 we could not establish a role for these receptors in our NK-MoDC crosstalk model (manuscript in preparation).
Although promising clinical outcomes have been achieved using adoptive NK cell therapy for the treatment of hematological malignancies, one of the challenges in a solid tumor setting is migration to the tumor site. Although we showed modest NK cell migration towards the supernatants of pCRC-SCS and mCRC-SCS cultures, previous studies demonstrated antitumor efficacy of the allogeneic NK cells against human solid tumors in an immunodeficient mouse model, clearly indicating the migration capabilities of NK cells.6 Intraperitoneal infusion of NK cells in combination with R848 in patients with peritoneal metastases might circumvent this hurdle altogether. As patients with intraperitoneal carcinomatosis still represent a therapeutic challenge43 intraperitoneal administration of NK cells, based on our findings, might present a highly needed novel treatment option.
Finally, this study assessed the impact of allogeneic NK cells on SCS, a two-dimensional model. However, to comprehensively elucidate these effects, follow-up investigations with a three-dimensional model are needed. One attractive option involves the usage of tissue slice cultures, which allow the preservation of the TME, including its immune components, for at least 5 days.52
In conclusion, our allogeneic off-the-shelf NK cells showed clear antitumor activity in both pCRC and mCRC cultures and induced a shift to a more pro-inflammatory state. This effect was enhanced by combining NK cells with the TLR7/8 ligand R848. Therefore, it would be of interest to study the combination of NK cells and R848 as a possible therapy for patients with (MSS-)CRC, aiming to achieve an improved and more effective T-cell response in the associated immunosuppressive TME, possibly leading to a systemic T-cell response and further supporting immune checkpoint blockade.
Acknowledgments
We thank all the patients who agreed to donate samples for this study and all the collaborators that supported the clinical sample collection, and Elisabetta Michielon for her help with the TGFβ ELISA.
Footnotes
ECT and AAvV contributed equally.
Contributors: TDdG, JS, ECT, AAvV and HJvdV conceived the study. TDdG, JS, HMWV and HJvdV supervised the project. ECT and AAvV performed experiments. JT provided patient samples. TDdG, JS, ECT, AAvV and HJvdV analyzed the data and prepared the figures. TDdG, JS, ECT, AAvV and HJvdV wrote the paper. TDdG is the guarantor of the study. All authors edited the manuscript and approved the final version. All authors have read and agreed to the published version of the manuscript.
Funding: This work was funded by Glycostem Therapeutics BV.
Competing interests: JS is chief scientific officer at Glycostem BV and HJvdV is chief scientific officer at Lava Therapeutics NV. TDdG is scientific advisor to Immunicum and Lava Therapeutics. AAvV is an employee of Glycostem BV.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available upon reasonable request. The data that support the findings of this study are available from the corresponding author, TDdG, upon reasonable request.
Ethics statements
Patient consent for publication
Not applicable.
Ethics approval
The material for this study was collected according to the guidelines of the Declaration of Helsinki of 1975 and under written informed consent. The pCRC samples were collected during an institutional review board-approved clinical trial of autologous whole-cell vaccination at the VU University medical center between 1987 and 1998. The mCRC samples were collected as part of the CRC biobank approved by the Medical Ethics Committee of the Vrije Universiteit Medisch Centrum (protocol code 109 2012/430, date of approval 2012) and by the Toetsingscommissie Biobank (protocol code 2018.27, date of approval 2017). Participants gave informed consent to participate in the study before taking part.
References
- 1. Xi Y, Xu P. Global colorectal cancer burden in 2020 and projections to 2040. Transl Oncol 2021;14:101174. 10.1016/j.tranon.2021.101174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Ganesh K, Stadler ZK, Cercek A, et al. Immunotherapy in colorectal cancer: rationale, challenges and potential. Nat Rev Gastroenterol Hepatol 2019;16:361–75. 10.1038/s41575-019-0126-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Vivier E, Tomasello E, Baratin M, et al. Functions of natural killer cells. Nat Immunol 2008;9:503–10. 10.1038/ni1582 [DOI] [PubMed] [Google Scholar]
- 4. Coca S, Perez-Piqueras J, Martinez D, et al. The prognostic significance of Intratumoral natural killer cells in patients with colorectal carcinoma. Cancer 1997;79:2320–8. [DOI] [PubMed] [Google Scholar]
- 5. Tang Y-P, Xie M-Z, Li K-Z, et al. Prognostic value of peripheral blood natural killer cells in colorectal cancer. BMC Gastroenterol 2020;20:31. 10.1186/s12876-020-1177-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Veluchamy JP, Lopez-Lastra S, Spanholtz J, et al. In vivo efficacy of umbilical cord blood stem cell-derived NK cells in the treatment of metastatic colorectal cancer. Front Immunol 2017;8:87. 10.3389/fimmu.2017.00087 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Miller JS, Soignier Y, Panoskaltsis-Mortari A, et al. Successful adoptive transfer and in vivo expansion of human haploidentical NK cells in patients with cancer. Blood 2005;105:3051–7. 10.1182/blood-2004-07-2974 [DOI] [PubMed] [Google Scholar]
- 8. Dolstra H, Roeven MWH, Spanholtz J, et al. Successful transfer of umbilical cord blood CD34+ hematopoietic stem and progenitor-derived NK cells in older acute myeloid leukemia patients. Clin Cancer Res 2017;23:4107–18. 10.1158/1078-0432.CCR-16-2981 [DOI] [PubMed] [Google Scholar]
- 9. Velichinskii RA, Streltsova MA, Kust SA, et al. The biological role and therapeutic potential of NK cells in hematological and solid tumors. Int J Mol Sci 2021;22:11385. 10.3390/ijms222111385 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Raes G, De Baetselier P, Van Ginderachter JA. Clinical and fundamental aspects of monocyte, macrophage and dendritic cell plasticity. Eur J Immunol 2012;42:13–6. 10.1002/eji.201190081 [DOI] [PubMed] [Google Scholar]
- 11. Ferlazzo G, Morandi B. Cross-talks between natural killer cells and distinct subsets of dendritic cells. Front Immunol 2014;5:159. 10.3389/fimmu.2014.00159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Böttcher JP, Bonavita E, Chakravarty P, et al. NK cells stimulate recruitment of CDc1 into the tumor microenvironment promoting cancer immune control. Cell 2018;172:1022–37. 10.1016/j.cell.2018.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Zhang AL, Colmenero P, Purath U, et al. Natural killer cells trigger differentiation of monocytes into dendritic cells. Blood 2007;110:2484–93. 10.1182/blood-2007-02-076364 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Vitale M, Della Chiesa M, Carlomagno S, et al. NK-dependent DC maturation is mediated by TNFα and IFNγ released upon engagement of the NKp30 triggering receptor. Blood 2005;106:566–71. 10.1182/blood-2004-10-4035 [DOI] [PubMed] [Google Scholar]
- 15. Barry KC, Hsu J, Broz ML, et al. A natural killer–dendritic cell axis defines checkpoint therapy–responsive tumor microenvironments. Nat Med 2018;24:1178–91. 10.1038/s41591-018-0085-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Gerhard GM, Bill R, Messemaker M, et al. Tumor-infiltrating dendritic cell States are conserved across solid human cancers. J Exp Med 2021;218:e20200264. 10.1084/jem.20200264 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Lindenberg JJ, Fehres CM, van Cruijsen H, et al. Cross-talk between tumor and myeloid cells: how to tip the balance in favor of antitumor immunity. Immunotherapy 2011;3:77–96. 10.2217/imt.10.95 [DOI] [PubMed] [Google Scholar]
- 18. Bourdely P, Anselmi G, Vaivode K, et al. Transcriptional and functional analysis of CD1C+ human dendritic cells identifies a Cd163+ subset priming CD8+CD103+ T cells. Immunity 2020;53:335–352. 10.1016/j.immuni.2020.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Smits ELJM, Ponsaerts P, Berneman ZN, et al. The use of TLR7 and TLR8 ligands for the enhancement of cancer immunotherapy. Oncologist 2008;13:859–75. 10.1634/theoncologist.2008-0097 [DOI] [PubMed] [Google Scholar]
- 20. Adams S. Toll-like receptor agonists in cancer therapy. Immunotherapy 2009;1:949–64. 10.2217/imt.09.70 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Saha T, van Vliet AA, Cui C, et al. Boosting natural killer cell therapies in glioblastoma multiforme using supramolecular cationic inhibitors of heat shock protein 90. Front Mol Biosci 2021;8:754443. 10.3389/fmolb.2021.754443 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Vermorken JB, Claessen AM, van Tinteren H, et al. Active specific immunotherapy for stage II and stage III human colon cancer: a randomised trial. Lancet 1999;353:345–50. 10.1016/S0140-6736(98)07186-4 [DOI] [PubMed] [Google Scholar]
- 23. Toffoli EC, Sheikhi A, Lameris R, et al. Enhancement of NK cell antitumor effector functions using a bispecific single domain antibody targeting CD16 and the epidermal growth factor receptor. Cancers (Basel) 2021;13:5446. 10.3390/cancers13215446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Dutertre C-A, Becht E, Irac SE, et al. Single-cell analysis of human mononuclear phagocytes reveals subset-defining markers and identifies circulating inflammatory dendritic cells. Immunity 2019;51:573–89. 10.1016/j.immuni.2019.08.008 [DOI] [PubMed] [Google Scholar]
- 25. van de Ven R, Lindenberg JJ, Oosterhoff D, et al. Dendritic cell plasticity in tumor-conditioned skin: CD14+ cells at the cross-roads of immune activation and suppression. Front Immunol 2013;4:403. 10.3389/fimmu.2013.00403 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Miyara M, Yoshioka Y, Kitoh A, et al. Functional delineation and differentiation dynamics of human CD4+ T cells expressing the Foxp3 transcription factor. Immunity 2009;30:899–911. 10.1016/j.immuni.2009.03.019 [DOI] [PubMed] [Google Scholar]
- 27. Mannino MH, Zhu Z, Xiao H, et al. The paradoxical role of IL-10 in immunity and cancer. Cancer Lett 2015;367:103–7. 10.1016/j.canlet.2015.07.009 [DOI] [PubMed] [Google Scholar]
- 28. Kaplanski G. Interleukin-18: biological properties and role in disease pathogenesis. Immunol Rev 2018;281:138–53. 10.1111/imr.12616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Han J, Khatwani N, Searles TG, et al. Memory CD8+ T cell responses to cancer. Seminars in Immunology 2020;49:101435. 10.1016/j.smim.2020.101435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Campbell KS, Hasegawa J. Natural killer cell biology: an update and future directions. J Allergy Clin Immunol 2013;132:536–44. 10.1016/j.jaci.2013.07.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Spanholtz J, Tordoir M, Eissens D, et al. High log-scale expansion of functional human natural killer cells from umbilical cord blood CD34-positive cells for adoptive cancer Immunotherapy. PLoS One 2010;5:e9221. 10.1371/journal.pone.0009221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Ferlazzo G, Tsang ML, Moretta L, et al. Human dendritic cells activate resting natural killer (NK) cells and are recognized via the NKp30 receptor by activated NK cells. J Exp Med 2002;195:343–51. 10.1084/jem.20011149 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Roy S, Barnes PF, Garg A, et al. NK cells Lyse T regulatory cells that expand in response to an intracellular pathogen. J Immunol 2008;180:1729–36. 10.4049/jimmunol.180.3.1729 [DOI] [PubMed] [Google Scholar]
- 34. Josefowicz SZ, Rudensky A. Control of regulatory T cell lineage commitment and maintenance. Immunity 2009;30:616–25. 10.1016/j.immuni.2009.04.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Chonov DC, Ignatova MMK, Ananiev JR, et al. IL-6 activities in the tumour microenvironment. Part 1. Open Access Maced J Med Sci 2019;7:2391–8. 10.3889/oamjms.2019.589 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Ma X, Yan W, Zheng H, et al. Regulation of IL-10 and IL-12 production and function in macrophages and dendritic cells. F1000Res 2015;4:F1000 Faculty Rev-1465. 10.12688/f1000research.7010.1 [DOI] [Google Scholar]
- 37. Spranger S, Bao R, Gajewski TF. Melanoma-intrinsic Β-Catenin signalling prevents anti-tumour immunity. Nature 2015;523:231–5. 10.1038/nature14404 [DOI] [PubMed] [Google Scholar]
- 38. Kistner L, Doll D, Holtorf A, et al. Interferon-inducible CXC-Chemokines are crucial immune Modulators and survival predictors in colorectal cancer. Oncotarget 2017;8:89998–90012. 10.18632/oncotarget.21286 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Tokunaga R, Zhang W, Naseem M, et al. CXCL9, CXCL10, CXCL11/CXCR3 axis for immune activation - a target for novel cancer therapy. Cancer Treat Rev 2018;63:40–7. 10.1016/j.ctrv.2017.11.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Kadomoto S, Izumi K, Mizokami A. The CCL20-CCR6 axis in cancer progression. Int J Mol Sci 2020;21:5186. 10.3390/ijms21155186 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Lupo KB, Matosevic S. Natural killer cells as allogeneic effectors in adoptive cancer immunotherapy. Cancers (Basel) 2019;11:769. 10.3390/cancers11060769 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Guinney J, Dienstmann R, Wang X, et al. The consensus molecular subtypes of colorectal cancer. Nat Med 2015;21:1350–6. 10.1038/nm.3967 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Laoukili J, Constantinides A, Wassenaar ECE, et al. Peritoneal metastases from colorectal cancer belong to consensus molecular subtype 4 and are sensitised to oxaliplatin by inhibiting reducing capacity. Br J Cancer 2022;126:1824–33. 10.1038/s41416-022-01742-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Lindenberg JJ, van de Ven R, Lougheed SM, et al. Functional characterization of a STAT3-dePEndent Dendritic cell-derived CD14 + cell population arising upon IL-10-driven maturation. Oncoimmunology 2013;2:e23837. 10.4161/onci.23837 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Lindenberg JJ, Oosterhoff D, Sombroek CC, et al. IL-10 conditioning of human skin affects the distribution of migratory dendritic cell subsets and functional T cell differentiation. PLoS One 2013;8:e70237. 10.1371/journal.pone.0070237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Lindenberg JJ, van de Ven R, Oosterhoff D, et al. Induction of dendritic cell maturation in the skin microenvironment by soluble factors derived from colon carcinoma. Hum Vaccin Immunother 2014;10:1622–32. 10.4161/hv.28548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Fabbi M, Carbotti G, Ferrini S. Context-dependent role of IL-18 in cancer biology and counter-regulation by IL-18Bp. J Leukoc Biol 2015;97:665–75. 10.1189/jlb.5RU0714-360RR [DOI] [PubMed] [Google Scholar]
- 48. Josephs SF, Ichim TE, Prince SM, et al. Unleashing endogenous TNF-alpha as a cancer immunotherapeutic. J Transl Med 2018;16:242. 10.1186/s12967-018-1611-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Swiecki M, Colonna M. Type I Interferons: diversity of sources, production pathways and effects on immune responses. Curr Opin Virol 2011;1:463–75. 10.1016/j.coviro.2011.10.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Brillard E, Pallandre J-R, Chalmers D, et al. Natural killer cells prevent CD28-mediated Foxp3 transcription in CD4+CD25– T lymphocytes. Exp Hematol 2007;35:416–25. 10.1016/j.exphem.2006.12.004 [DOI] [PubMed] [Google Scholar]
- 51. Morandi B, Bougras G, Muller WA, et al. NK cells of human secondary lymphoid tissues enhance T cell polarizationvia IFN-Γ secretion. Eur J Immunol 2006;36:2394–400. 10.1002/eji.200636290 [DOI] [PubMed] [Google Scholar]
- 52. Kenerson HL, Sullivan KM, Labadie KP, et al. Protocol for tissue slice cultures from human solid tumors to study therapeutic response. STAR Protoc 2021;2:100574. 10.1016/j.xpro.2021.100574 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
jitc-2023-007554supp001.pdf (151.3KB, pdf)
jitc-2023-007554supp002.pdf (4.3MB, pdf)
Data Availability Statement
Data are available upon reasonable request. The data that support the findings of this study are available from the corresponding author, TDdG, upon reasonable request.