Abstract
Cytokine-induced killer (CIK) cells have reached clinical trials for leukemia and solid tumors. Their anti-tumor cytotoxicity had earlier been shown to be intensified after the co-culture with dendritic cells (DCs). We observed markedly enhanced anti-tumor cytotoxicity activity of CIK cells after the co-culture with sunitinib-pretreated DCs over that of untreated DCs. This cytotoxicity was reliant upon DC modulation by sunitinib because the direct exposure of CIK cells to sunitinib had no significant effect. Sunitinib promoted Th1-inducing and pro-inflammatory phenotypes (IL-12, IFN-γ and IL-6) in DCs at the expense of Th2 inducing phenotype (IL-13) and regulatory phenotype (PD-L1, IDO). Sunitinib-treated DCs subsequently induced the upregulation of Th1 phenotypic markers (IFN-γ and T-bet) and the downregulation of the Th2 signature (GATA-3) and the Th17 marker (RORC) on the CD3+CD56+ subset of CIK cells. It concluded that sunitinib-pretreated DCs drove the CD3+CD56+ subset toward Th1 phenotype with increased anti-tumor cytotoxicity.
Introduction
The mechanisms of tumor immune evasion involve several biological molecules including indoleamine 2, 3-dioxygenase (IDO), PD-L1, GATA and interferon (IFN). IDO, a cytosolic protein that catalyzes the rate-limiting step of tryptophan (Trp) metabolism, stimulates immune tolerance in human cancer [1]. IDO generates immunosuppressive dendritic cells (DCs) [2]. Trp metabolites mediate cytotoxic effects on CD8+ tumor-infiltrating lymphocytes and CD4+Th1 cells [3]–[5]. PD-L1 can have an inhibitory function that primarily acts to inhibit the priming and activation of immune responses and T cell-mediated killing of cancer cells in particular in the tumor beds [6]. The zinc finger DNA binding GATA factors coordinate cellular maturation with proliferation arrest and cell survival [7]. Alteration of GATA factors was shown to be causatively involved in various cancers in human patients [7]. GATA-3 primarily induces Th2 differentiation [8] and therefore causes Th2 immune deviation that leads to the expansion of fibrocytes with immunosuppressive properties observed in patients with cancer [9]. This may be the mechanism that GATA-3 contributes to tumor progression via immune evasion. The above data suggested the requirement of therapeutic overriding of tumor immune evasion by boosting cytotoxic effects of responsible effector cells.
Cytokine-induced killer (CIK) cells have been deployed against a number of solid tumors with in vitro and in vivo evidences. The major effector of CIK cells is the CD3+CD56+ subset [10], [11]. The anti-tumor action of CIK cells could be augmented after being co-cultured with dendritic cells (DCs)[12]–[15]. The depletion of regulatory T cell (Treg) subset in CIK cells after the co-culture with DCs was proposed as the responsible mechanism [13]. We previously observed similar enhancement of the anti-tumor action of the isolated CD3+CD56+ subset against cholangiocarcinoma [16] and osteosarcoma [17] after being co-cultured with DCs. This observation implied that the activity of CD3+CD56+ subset was not invariably naturally active, but inducible. The ex vivo optimization for the anti-tumor activity of the CD3+CD56+ subset as well as the dissection for the involved signal transduction has posed as a challenge for CIK cell-based immunotherapy. We approached this challenge through the treatment of CIK cells, co-cultured DCs with a promising molecule, sunitinib.
Sunitinib, a protein kinase inhibitor (PKI), is conventionally intended for direct treatment of lung cancer and renal cell carcinoma. It indirectly affects the tumors through the host components of immune response [18]. The pharmacological concentrations of sunitinib had no effect toward PI3K and ERK phosphorylation in NK cells and did not exert any toxicity toward peripheral blood mononuclear (PBMCs) [19]. Not all tyrosine kinase inhibitors provide the beneficial effects toward immune cells [18]. Only sunitinib could enhance the maturation and the expansion of DCs. Unlike sunitinib, sorafenib at therapeutic concentrations induced human NK cell-derived cytotoxic activity, IFN-γ release [19], suppressed mouse DCs and antigen-specific T cells functions [20].
Sunitinib might exert its immunostimulatory activity through the modulation of the ratio of immunostimulatory versus immunoregulatory cells. Recently sunitinib was shown to reverse the immune suppression of tumor microenvironment (TME) by suppressing the development of regulatory T cells (Treg) [21]. Both Treg and myeloid-derived suppressor cells (MDSC) are the major immunosuppressive cellular components in TME [22], [23]. The presence of Treg subset compromised the overall anti-tumor activity of CIK cells [16], [17], [24]. The fraction of peripheral blood MDSC [25], [26] and Treg [25], [27], [28] were dramatically decreased in subjects treated with sunitinib. In contrast, the fraction of DCs was significantly increased after sunitinib treatment and this correlated with tumor regression in patients with renal cell carcinoma [26]. The combination of sunitinib treatment with DC vaccination acted synergistically in suppressing the implanted melanoma in mice [29]. The responders with tumor regression after sunitinib treatment were associated with the reduction in MDSC and Treg in the TME in concomitant with the rising of CD8+ T cells. Sunitinib shifted tumor-infiltrating lymphocytes (TILs) in mice from releasing Th2 cytokines (IL-10, TGF-β) to Th1 cytokines (IFN-γ). The expression of co-inhibitory molecules (CTLA-4 and PD-1) and Foxp3 in these TILs was also suppressed. This reversal of immunosuppression was proposed to be mediated through the inhibition of c-kit in MDSCs [30]. The suppressive activity of sunitinib on MDSC might be counteracted by GM-CSF-enriched microenvironment [31]. The immunomodulation might be mediated through anti-VEGFR and NF-κB-suppressive actions of sunitinib. The heightened proliferation and antigen-specific T-cell activity of CD8+ T cells was attributed to the suppression of STAT3 [32]. However, other investigators reported the absence of favorable immunological action of sunitinib. Sunitinib was unable to reverse VEGF/tumor supernatant-induced suppression of DC maturation [33]. Some renal cell carcinoma subjects treated with sunitinib for 4 weeks carried lower Th1/Th2 ratio in peripheral blood [34], as opposed to those found in the earlier studies [27].
Improving the density as well as the activity of CD3+CD56+ subset, while suppressing those of Treg subset, would be desirable for CIK cell-based immunotherapy. We investigated whether the introduction of sunitinib to the DC-CIK co-culture system could improve anti-tumor effects. We examined the alteration in the proportion of CIK cell subsets. For qualitative change, we measured the alteration in the maturation status or immunological markers of both DCs and CIK cells. In DCs, the markers studied included Th1 promoting genes (IL-12, IFN-γ); Th2 promoting gene (IL-13); Th17 promoting genes (IL-23, IL-6); and Treg promoting genes (PD-L1, IDO, IL-10). In CIK cells, the markers assessed included Th1 genes (IFN-γ, T-bet); Th2 genes (IL-4, GATA-3); Th17 genes (RORC, IL-17, STAT3); and Treg (IDO, IL-10).
Materials and Methods
Ethic Statement
All subjects understood and signed the informed consent form before the participation. The study protocol with the accompanying informed consent form conforms to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the Institutional Review Board of the Faculty of Medicine Siriraj Hospital, Mahidol University.
Generation of CIK Cells and DCs from Peripheral Blood Mononuclear Cells
CIK cells and DCs were generated from PBMCs of 6 consented healthy volunteers. PBMCs were isolated from whole blood by Ficoll gradient centrifugation (IsoPrep, Robbins Scientific, Sunnyvale, CA). The cells were allowed to adhere over the 6-well plate at a density of 1.2×106 cells/mL/well for 1 h at 37°C in RPMI 1640, 10% FBS, 100 U/mL penicillin, and 100 µg/mL streptomycin. The adherent cells (5.0×104 cells/well) were used to generate DCs.
To generate CIK cells, non-adherent PBMCs were resuspended in RPMI 1640 (Invitrogen, Carlsbad, CA), 10% FBS, 25 mM Hepes, 100 U/mL penicillin and 100 µg/mL streptomycin. Human interferon γ (IFN-γ, 1,000 U/mL (Amoytop Biotech, Xiamen, China) was added and incubated at 37°C, 5% CO2 for 24 h. After 24-h incubation, 50 ng/mL monoclonal antibody against CD3 (eBioscience, San Diego, CA)and 300 IU/mL IL-2 (Amoytop Biotech) were added. CIK cells were maintained at a density of ≤6×106 cells/mL in RPMI 1640, 10% FBS, 300 IU/mL IL-2, 25 mM Hepes, 2 mM L-glutamine, 100 U/mL penicillin, and 100 µg/mL streptomycin with medium replacement every 5 days. Cells were harvested on day 14 with apparent viability above 90%.
To generate DCs, the adherent cells were maintained in 2 mL RPMI 1640, 10% FBS, 400 U/mL granulocyte-macrophage colony-stimulating factor (GM-CSF, Amoytop Biotech), 500 U/mL IL-4 (Amoytop Biotech) for 14 d. DC maturation could be achieved by adding 1,000 U/mL tumor necrosis factor α (TNF-α; Amoytop Biotech) in the final 24 h. Some designated wells were treated with 1 µM sunitinib (Sigma, St. Louis, MO) for 48 h. The viability of mature DCs was above 95%.
To generate macrophages, the adherent cells were maintained in 2 mL RPMI 1640, 10% FBS, 400 U/mL granulocyte-macrophage colony-stimulating factor (GM-CSF, Amoytop Biotech) for 7 d.
Preparation of CD3+CD56+ Cells
An aliquot of CIK cells (1.0×108 cells) on day 14 was purified for CD3+CD56+ subset using CD3 Microbeads kit and CD56 Microbeads kit (Miltenyi Biotec, Germany) according to the manufacturer instruction. This usually yielded 0.8–2.0×107 purified CD3+CD56+ cells.
Co-culture of CIK Cells and DCs
On day 14 after CIK and DCs generation, CIK cells or the purified CD3+CD56+ cells were seeded on DCs of different conditions at the stimulators (DCs) : responders (CIK cells)(S:R) ratio of 1∶20. The co-cultured cells were maintained in RPMI 1640, 10% FBS, 25 mM Hepes, 2 mM L-glutamine, 100 U/mL penicillin, and 100 µg/mL streptomycin, 300 IU/mL IL-2 for 5 days prior to in vitro cytotoxicity assay.
Primary Cultured Cholangiocarcinoma Cells Isolated from Sediments of Biliary Fluid
A human cholangiocarcinoma cell line prepared from intrahepatic biliary fluid, HubCCA1 [16], was propagated in growth medium (DMEM, 15% FBS, 1 mM sodium pyruvate, 1 mg/mL insulin, 0.66 mg/mL transferrin, 0.67 µg/mL sodium selenite, 0.1 mM non-essential amino acid solution, 2 mM L-glutamine, 50 unit/mL penicillin, and 50 µg/mL streptomycin) at 37°C with 5% CO2.
Fluorescence-activated Cell Sorting (FACS) Analysis
Either DCs or CIK cells were washed twice in PBS containing 5% FBS (PBS/FBS) and resuspended in 100 µL PBS/FBS. The cell pellet was incubated with 2 µL of the corresponding primary monoclonal antibodies (1 mg/mL) for 30 min at 25°C, washed twice and resuspended in 200 µL of PBS/FBS. For the staining of intracellular immunogens, cells were fixed and permeabilized prior to the intracellular staining in accordance with the manufacturers. Flow cytometry analysis on 10,000 cells was performed using a FACSCalibur (Becton Dickinson, San Jose, CA). The employed primary mouse monoclonal antibodies raised against human immunogens included anti-FOXP3-Alexa Fluor 488, anti-CD4-PE-Cy5, anti-CD25-PE from Biolegend, anti-IL-10-Alexa Fluor 647, anti-CD3-FITC, anti-CD56-PE, anti-CD80-FITC, anti-CD83-PE, anti-CD86-PE-Cy5, anti-CD40-APC from eBiosceince, anti-RORC-PerCP, anti-IL-17-APC from R&D Systems. Data were analyzed using FlowJo version 10.0.5.
Cytotoxic Assay
Propidium iodide (PI)-based cytotoxic assay was used to estimate the anti-tumor cytotoxic activity of CIK cells. The tumor cells (5×103 cells/well) were seeded as target cells on the 96-well plate for 24 h at 37°C, 5% CO2. The target cells were washed with serum-free RPMI and co-cultured with the effector cells at the designated effector to target (E:T) ratio in 80 µL RPMI/well for 4 h at 37°C, 5% CO2. For IFN-γ neutralization, 0.02 µg/mL anti-IFN-γ (clone 25718, R&D Systems) was added to the effector cells 2 h prior to the co-culture. PI (20 µL of 10 µg/mL in PBS) was added to and incubated with the cell mixture for additional 30 min. The mixture was measured for fluorescence with an excitation wavelength of 482 nm and an emission wavelength of 630 nm using the SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA). The background wells were those with the corresponding numbers of effector cells, but without target cells. The 100% lysis came from wells containing target in RPMI cells plus 20 µL isopropanol. The 0% lysis came from wells containing only the target cells. The % cytotoxicity was calculated using the following expression (see in Figure S1):
Fl 0 represents the fluorescence of the well containing the target cells without the exposure to any effector cells. Fl 100 represents the fluorescence of from the well containing the target cells in RPMI plus 20% isopropanol. Flx represents the fluorescence of the well containing the target cells after the exposure to the indicated numbers of effector cells.
RNA Preparation and Quantitative Real-time PCR Analysis
Total RNA was extracted from different conditions of CD3+CD56+ cells, macrophages, iDCs and mDCs. Cells were homogenized in 350 µL of RA1 buffer and 3.5 µL of β-mercaptoethanol (illustra™ RNAspin Mini RNA Isolation Kit, GE Healthcare, UK) to isolate total RNA. Reverse transcription was performed with 1 µg of total RNA. First-strand cDNA synthesis was performed with the ImProm-II Reverse Transcription System (Promega, Madison, WI). The gene-specific primers pairs (Table 1) were designed using Primer Express 3.0 (ABI, Foster City, CA) and ordered from 1st BASE (Singapore). They were amplified using FastStart SYBR® Green Master (Roche Diagnostics, Mannheim, Germany) and StepOnePlus Real-Time PCR system (ABI). Real-time PCR was performed using 1.5 µL of 200 ng/µL cDNA in 15 µL reaction mixture with the following conditions: 95°C for 10 min, followed by 40 cycles of amplification at 95°C for 15 sec, 60°C for 40 sec, and 72°C for 40 sec. The obtained Ct’s were subtracted with the Ct of GAPDH of the same condition to obtain ΔCt. The ΔCt’s of the treated cells were subtracted with ΔCt’s of the untreated cells of the same period to obtain ΔΔCt’s. The fold-changes could be obtained from the expression of 2−ΔΔCt.
Table 1. The primer pairs for real-time RT-PCR.
Genes | Oligonucleotides (5′→3′) | Size (bp) | Annealing (°C) |
GAPDH | Forward: GAAATCCCATCACCATCTTCC | 124 | 60 |
Reverse: AAATGAGCCCCAGCCTTCTC | |||
PD-L1 | Forward: TCAATGCCCCATACAACAAA | 120 | 60 |
Reverse: TGCTTGTCCAGATGACTTCG | |||
IDO | Forward: AGTCCGTGAGTTTGTCCTTTCAA | 68 | 60 |
Reverse: TTTCACACAGGCGTCATAAGCT | |||
GATA-3 | Forward: ACTACGGAAACTCGGTCAGG | 100 | 60 |
Reverse: CAGGGTAGGGATCCATGAAG | |||
IFNγ | Forward: GTGTGGAGACCATCAAGGAAGAC | 80 | 60 |
Reverse: CAGCTTTTCGAAGTCATCTCGTTT | |||
IL-4 | Forward: AACAGCCTCACAGAGCAGAAGAC | 101 | 60 |
Reverse: GCCCTGCAGAAGGTTTCCTT | |||
IL-6 | Forward: GCTGCAGGCACAGAACCA | 68 | 60 |
Reverse: ACTCCTTAAAGCTGCGCAGAA | |||
IL-10 | Forward: CTGGGTTGCCAAGCCTTGT | 100 | 60 |
Reverse: AGTTCACATGCGCCTTGATG | |||
IL-12 | Forward: GCAAAACCCTGACCATCCAA | 100 | 60 |
Reverse: TGAAGCAGCAGGAGCGAAT | |||
IL-13 | Forward: GAGTGTGTTTGTCACCGTTG | 253 | 60 |
Reverse: TACTCGTTGGTCGAGAGCTG | |||
IL-23 | Forward: GCTTACAAACTCGGTGAACAACTG | 80 | 60 |
Reverse: TCCACTTGCTTTGAGCCTGAT | |||
RORC | Forward: CCACAGAGACATCACCGAGCC | 114 | 60 |
Reverse: GTGGATCCCAGATGACTTGTCC | |||
STAT3 | Forward: ACCAAGCGAGGACTGAGCAT | 90 | 58 |
Reverse: TGTGATCTGACACCCTGAATAATTC | |||
TGF-β | Forward: GCGTGCTAATGGTGGAAACC | 100 | 60 |
Reverse: GCTTCTCGGAGCTCTGATGTGT | |||
T-bet | Forward: AGGATTCCGGGAGAACTTTGA | 123 | 60 |
Reverse: TACTGGTTGGGTAGGAGAGGAGAGTA |
Statistical Analysis
The results are shown as mean ± standard error of the mean (SEM) of triplicate determinants. Data were plotted using GraphPad Prism version 5.03. Two-way ANOVA was used to determine the significance of difference between means of cytotoxic experiments. Student’s t-test was used for real-time PCR analysis. A p value of less than 0.05 was considered significant.
Results
The Cytotoxic Activity of CIK Cells after the Priming with Sunitinib-treated DCs toward Cholangiocarcinoma Cell Line
Among all investigated conditions of effector cells, the untreated CIK cells provided the lowest cytotoxicity toward the HubCCA-1 (Fig. 1A). The cytotoxicity was improved after the co-culture with mDC. The highest anti-tumor cytotoxic activity came from CIK cells that had been co-cultured with either sunitinib-treated iDCs or sunitinib-treated mDCs. This enhancement could not be obtained from CIK cells co-cultured with sunitinib-treated macrophages. The direct exposure of CIK cells to sunitinib could not confer any significant improvement in the anti-tumor cytotoxicity over that of the untreated CIK cells until the E:T ratio reached 12∶1, and therefore demonstrated little enhancement. Isolated CD3+CD56+ subset contained anti-tumor cytotoxic activity (Fig. 1B). Likewise, the direct exposure of CD3+CD56+ subset to sunitinib could not confer further significant improvement. The co-culture of CD3+CD56+ subset with sunitinib-treated mDCs provided the optimal improvement.
The Alteration in the Polarization of Macrophages, iDCs and mDCs after the Exposure to Sunitinib
Macrophages, iDCs and mDCs were studied for their polarization using real-time RT-PCR analysis for a number of markers (Table 1). The untreated macrophages contained lower IL-12 expression (Fig. 2A) than those in iDCs and mDCs. After sunitinib treatment, the level of IL-12 expression was enhanced in macrophages and mDCs, but not in iDCs. Both iDCs and mDCs carried higher IFN-γ expression than did macrophages. Only in mDCs was the expression of IFN-γ (Fig. 2B) significantly increased after sunitinib treatment. The expression level of IL-6 (Fig. 2C) was rising in mDCs after sunitinib treatment, but was reciprocally suppressed in macrophages. The expression of IL-13 in macrophages and iDCs, but not mDCs, was undetectable. The IL-13 expression in mDCs was suppressed after sunitinib treatment (Fig. 2D). The untreated macrophages and iDCs contained higher IL-10 expression (Fig. 2E) than did mDCs. Upon sunitinib treatment, the expression of IL-10 was decreased in macrophages, but not significantly altered in iDCs nor mDCs. Sunitinib treatment suppressed the expression of PD-L1 (Fig. 2F) in mDCs. The IDO expression (Fig. 2G) was suppressed in iDCs and mDCs after sunitinib treatment. Sunitinib enhanced the expression of IL-23 (Fig. 2H) in macrophages and mDCs, but not in iDCs.
The Alteration in the Maturity of Macrophages, iDCs, and mDCs after Sunitinib Treatment
Sunitinib treatment did not promote DC maturation as demonstrated by the unchanged expression of CD80, CD83 and CD86 (Fig. 3A). In contrast, sunitinib-treated macrophages revealed not only less DC maturation markers (CD80, CD83, CD86 and CD40), but also less macrophage markers (CD14 and CD40, Fig. 3B). There was no alteration in IL-10, and IDO (Fig. 3C) in sunitinib-treated iDCs and -treated mDCs, whereas the IDO expression was decreased in sunitinib-treated macrophages.
The Examination for the Alteration of the Ratios of CD3+CD56+, Treg, and Th17 Subsets in the Whole CIK Cell Population after the Priming with Sunitinib-treated DCs
CIK that had been either directly treated with sunitinib, primed with mDCs or primed with sunitinib-pretreated mDCs did not significantly alter the proportions of the CD3+CD56+ subset (Fig. 4A), the Th17 subset (Fig. 4B), nor the Treg (CD4+CD25+Foxp3+) subset (Fig. 4C).
The Analysis for the Polarization of CD3+CD56+ Cells after the Priming with Either Sunitinib-treated mDCs or Untreated mDCs
The co-culture of CD3+CD56+ cells with untreated mDCs raised the expression of IDO, and Th1 markers (IFN-γ and T-bet) (Fig. 5). In contrast, the expression of Th2 markers (GATA-3) and Th17 (RORC, STAT3) markers was reduced. The co-culture of CD3+CD56+ cells with sunitinib-pretreated mDCs maintained the rising IDO, IFN-γ, T-bet; the lessening of GATA-3 and RORC.
The Cytotoxic Activity of all Treatment Conditions of CD3+CD56+ Cells Required IFN-γ
The CD3+CD56+ subset that had been exposed to mDC or sunitinib treated mDCs were examined whether they mediated their anti-tumor cytotoxic action through IFN-γ. The isolated CD3+CD56+ subset from each condition was pretreated with the neutralizing monoclonal anti-IFN-γ (αIFN-γ) prior to the exposure to the target HubCCA1 target cells. All studied conditions of CD3+CD56+ subset were susceptible to the suppressive effect of anti-IFN-γ (Fig. 6).
Discussion
To our knowledge, the present finding provided the first notion that the CD3+CD56+ subset of CIK cells was not invariably naturally active. The CD3+CD56+ subset could be polarized toward either Th1 or Th2 phenotype that in turn shapes its anti-tumor activity. The resting CD3+CD56+ subset predominantly expressed Th2 phenotypes, but shifted to Th1 phenotypes upon the exposure to sunitinib-pretreated DCs. The induction of Th1 immune response was first observed in T cells isolated from subjects administered with sunitinib [27]. We investigated further whether the Th1-promoting action of sunitinib was derived directly from CIK cells or indirectly from mDCs. Our data revealed the sequential phenotypic changes in DCs after exposure to sunitinib. Our observation confirmed and expanded the previous report that CD3+CD56+ cells could have their anti-tumor activity expanded after the exposure to mDCs [16] and sunitinib-pretreated mDCs further enhanced this activity. This enhancement could not be simply introduced through the direct exposure of CD3+CD56+ cells to sunitinib.
Modulation of DCs and Macrophages by Sunitinib
Since the improvement in anti-tumor cytotoxicity of CIK cells resulted mainly from the exposure to sunitinib-pretreated mDCs, we hypothesized that the phenotypic alterations in DCs from sunitinib might be one of the underlying mechanisms. It was possible that sunitinib could induce DC maturation that led to the corresponding enhancement of the anti-tumor cytotoxicity of CIK cells. Using the staining for the DC maturation markers (CD80, CD83 and CD86), apparently there was no significant change in DC maturation in agreement with an earlier study [33]. The expression of Th1-polarizing cytokines (IL-12, IFN-γ and IL-6) was enhanced, whereas the expression of Th2-polarizing cytokine (IL-13) and the regulatory phenotype (PD-L1, IDO) were suppressed in sunitinib-treated mDCs. The increasing IL-23 expression in sunitinib-treated mDCs should foster the conversion of the nearby Treg toward Th17 cells. The sunitinib-treated monocyte-derived macrophages carried lessen DC maturation markers as well as lessen M1 differentiation markers (CD14 and CD40). The M2 differentiation was also suppressed as evidenced by the lowering IL-10 expression that might favor anti-tumor action. Taken together, sunitinib shifted mDCs toward Th1-polarizing phenotype and away from both Th2-polarizing and regulatory phenotypes.
Sunitinib-pretreated DCs Drove CD3+CD56+ Cells toward Th1 Polarization
Following the phenotypic change in sunitinib-treated mDCs, we investigated whether there were subsequent alterations in the proportion or the phenotypes of the co-culturing CIK subsets. There was no significant alteration in the proportion of any subset with any treatment. As opposed to the earlier study [13], we could not observe the lessening of Treg subset following the co-culture with DCs. The quantitative change was evaluated through the alteration in the proportion of CD3+CD56+ subset within the whole CIK cell population. The CD3+CD56+ subset proportion was not significantly altered after the exposure to sunitinib-pre-treated mDCs. The functional change was observed through the monitoring for alterations in Th1/Th2/Th17 phenotypes. The polarization toward Th1 differentiation of the CD3+CD56+ subset was evidenced by the heightening expression of IFN-γ and T-bet. The Th2 differentiation were lessened as evidenced by decreasing GATA3 expression. The alteration in Th1/Th2 phenotypes was in agreement with the observations in DCs. The Th17 differentiation in CD3+CD56+ subset disagreed with the observation in DCs since RORC expression was decreased while STAT3 expression was not significantly altered. This observation was not unexpected, since the Treg subset, not the CD3+CD56+ subset, was envisaged to undergo Th17 differentiation [35]. The heightening antitumor activity in all conditions of CD3+CD56+ subset relied heavily on IFN-γ secretion as this anti-tumor action could be reverse with the neutralizing anti-IFN-γ mAb.
Earlier sunitinib study involving mDCs reported the increasing frequency of mDCs in subjects receiving systemic sunitinib treatment [26] with no deleterious effect toward their immunostimulatory function. We have characterized the changes in sunitinib-pretreated mDCs as well as the co-culturing CIK cells regarding to the Th1/Th2/Treg balance. Our ex vivo observation implied the immunostimulatory action of sunitinib in addition to the elimination of immunoregulatory cells as reported by others [18], [20], [21]. Although our studied sunitinib concentration (1 µM) was beyond pharmaceutical concentration, we did not observe any deleterious effect toward mDCs in agreement with the earlier study [20]. The employed concentration was well above the recommended trough plasma concentration (Cmin) at 94 nM [36] and the observed maximal plasma concentration (Cmax) at 188 nM [37], signified the application of ex vivo approach to circumvent systemic adverse reactions [38] in clinical trials. The future direction for CIK cell-based immunotherapy may aim to raise the Th1 phenotype of its effectors in addition to neutralizing the immunosuppressive activity in its Treg subset or in TME.
Supporting Information
Acknowledgments
We thank K. Patanapanyasat at the Division of Instruments for Research, Office of Research and Development, Faculty of Medicine, Siriraj, Hospital, Mahidol University for providing flow cytometry facility.
Funding Statement
This work was supported by research grants from Thailand Research Fund and Mahidol University (to AW). AW and KM are recipients of Chalermphrakiat Grant at the Faculty of Medicine Siriraj Hospital, Mahidol University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Friberg M, Jennings R, Alsarraj M, Dessureault S, Cantor A, et al. (2002) Indoleamine 2,3-dioxygenase contributes to tumor cell evasion of T cell-mediated rejection. Int J Cancer 101: 151–155. [DOI] [PubMed] [Google Scholar]
- 2. Brenk M, Scheler M, Koch S, Neumann J, Takikawa O, et al. (2009) Tryptophan deprivation induces inhibitory receptors ILT3 and ILT4 on dendritic cells favoring the induction of human CD4+CD25+ Foxp3+ T regulatory cells. J Immunol 183: 145–154. [DOI] [PubMed] [Google Scholar]
- 3. Frumento G, Piazza T, Di Carlo E, Ferrini S (2006) Targeting tumor-related immunosuppression for cancer immunotherapy. Endocr Metab Immune Disord Drug Targets 6: 233–237. [DOI] [PubMed] [Google Scholar]
- 4. Frumento G, Rotondo R, Tonetti M, Damonte G, Benatti U, et al. (2002) Tryptophan-derived catabolites are responsible for inhibition of T and natural killer cell proliferation induced by indoleamine 2,3-dioxygenase. J Exp Med 196: 459–468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Terness P, Bauer TM, Rose L, Dufter C, Watzlik A, et al. (2002) Inhibition of allogeneic T cell proliferation by indoleamine 2,3-dioxygenase-expressing dendritic cells: mediation of suppression by tryptophan metabolites. J Exp Med 196: 447–457. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Chen DS, Mellman I (2013) Oncology meets immunology: the cancer-immunity cycle. Immunity 39: 1–10. [DOI] [PubMed] [Google Scholar]
- 7. Zheng R, Blobel GA (2010) GATA Transcription Factors and Cancer. Genes Cancer 1: 1178–1188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Amsen D, Spilianakis CG, Flavell RA (2009) How are T(H)1 and T(H)2 effector cells made? Curr Opin Immunol 21: 153–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Zhang H, Maric I, Diprima MJ, Khan J, Orentas RJ, et al. (2013) Fibrocytes represent a novel MDSC subset circulating in patients with metastatic cancer. Blood 122: 1105–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Lu PH, Negrin RS (1994) A novel population of expanded human CD3+CD56+ cells derived from T cells with potent in vivo antitumor activity in mice with severe combined immunodeficiency. J Immunol 153: 1687–1696. [PubMed] [Google Scholar]
- 11. Schmidt-Wolf GD, Negrin RS, Schmidt-Wolf IG (1997) Activated T cells and cytokine-induced CD3+CD56+ killer cells. Ann Hematol 74: 51–56. [DOI] [PubMed] [Google Scholar]
- 12. Marten A, Ziske C, Schottker B, Renoth S, Weineck S, et al. (2001) Interactions between dendritic cells and cytokine-induced killer cells lead to an activation of both populations. J Immunother 24: 502–510. [DOI] [PubMed] [Google Scholar]
- 13. Schmidt J, Eisold S, Buchler MW, Marten A (2004) Dendritic cells reduce number and function of CD4+CD25+ cells in cytokine-induced killer cells derived from patients with pancreatic carcinoma. Cancer Immunol Immunother 53: 1018–1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Erhardt M, Schmidt-Wolf IG, Sievers E, Frank S, Strehl J, et al. (2006) Anti-tumoral capabilities of effector cells after IFN-alpha or CpG-motif treatment of cocultured dendritic cells. Arch Immunol Ther Exp (Warsz) 54: 403–409. [DOI] [PubMed] [Google Scholar]
- 15. Li H, Wang C, Yu J, Cao S, Wei F, et al. (2009) Dendritic cell-activated cytokine-induced killer cells enhance the anti-tumor effect of chemotherapy on non-small cell lung cancer in patients after surgery. Cytotherapy 11: 1076–1083. [DOI] [PubMed] [Google Scholar]
- 16. Wongkajornsilp A, Somchitprasert T, Butraporn R, Wamanuttajinda V, Kasetsinsombat K, et al. (2009) Human cytokine-induced killer cells specifically infiltrated and retarded the growth of the inoculated human cholangiocarcinoma cells in SCID mice. Cancer Invest 27: 140–148. [DOI] [PubMed] [Google Scholar]
- 17. Wongkajornsilp A, Sangsuriyong S, Hongeng S, Waikakul S, Asavamongkolkul A, et al. (2005) Effective osteosarcoma cytolysis using cytokine-induced killer cells pre-inoculated with tumor RNA-pulsed dendritic cells. J Orthop Res 23: 1460–1466. [DOI] [PubMed] [Google Scholar]
- 18. Nishioka Y, Aono Y, Sone S (2011) Role of tyrosine kinase inhibitors in tumor immunology. Immunotherapy 3: 107–116. [DOI] [PubMed] [Google Scholar]
- 19. Krusch M, Salih J, Schlicke M, Baessler T, Kampa KM, et al. (2009) The kinase inhibitors sunitinib and sorafenib differentially affect NK cell antitumor reactivity in vitro. J Immunol 183: 8286–8294. [DOI] [PubMed] [Google Scholar]
- 20. Hipp MM, Hilf N, Walter S, Werth D, Brauer KM, et al. (2008) Sorafenib, but not sunitinib, affects function of dendritic cells and induction of primary immune responses. Blood 111: 5610–5620. [DOI] [PubMed] [Google Scholar]
- 21. Ozao-Choy J, Ma G, Kao J, Wang GX, Meseck M, et al. (2009) The novel role of tyrosine kinase inhibitor in the reversal of immune suppression and modulation of tumor microenvironment for immune-based cancer therapies. Cancer Res 69: 2514–2522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Lindau D, Gielen P, Kroesen M, Wesseling P, Adema GJ (2013) The immunosuppressive tumour network: myeloid-derived suppressor cells, regulatory T cells and natural killer T cells. Immunology 138: 105–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Morse MA, Hall JR, Plate JM (2009) Countering tumor-induced immunosuppression during immunotherapy for pancreatic cancer. Expert Opin Biol Ther 9: 331–339. [DOI] [PubMed] [Google Scholar]
- 24. Li H, Yu JP, Cao S, Wei F, Zhang P, et al. (2007) CD4+CD25+ regulatory T cells decreased the antitumor activity of cytokine-induced killer (CIK) cells of lung cancer patients. J Clin Immunol 27: 317–326. [DOI] [PubMed] [Google Scholar]
- 25. Ko JS, Zea AH, Rini BI, Ireland JL, Elson P, et al. (2009) Sunitinib mediates reversal of myeloid-derived suppressor cell accumulation in renal cell carcinoma patients. Clin Cancer Res 15: 2148–2157. [DOI] [PubMed] [Google Scholar]
- 26. van Cruijsen H, van der Veldt AA, Vroling L, Oosterhoff D, Broxterman HJ, et al. (2008) Sunitinib-induced myeloid lineage redistribution in renal cell cancer patients: CD1c+ dendritic cell frequency predicts progression-free survival. Clin Cancer Res 14: 5884–5892. [DOI] [PubMed] [Google Scholar]
- 27. Finke JH, Rini B, Ireland J, Rayman P, Richmond A, et al. (2008) Sunitinib reverses type-1 immune suppression and decreases T-regulatory cells in renal cell carcinoma patients. Clin Cancer Res 14: 6674–6682. [DOI] [PubMed] [Google Scholar]
- 28. Adotevi O, Pere H, Ravel P, Haicheur N, Badoual C, et al. (2010) A decrease of regulatory T cells correlates with overall survival after sunitinib-based antiangiogenic therapy in metastatic renal cancer patients. J Immunother 33: 991–998. [DOI] [PubMed] [Google Scholar]
- 29. Bose A, Taylor JL, Alber S, Watkins SC, Garcia JA, et al. (2011) Sunitinib facilitates the activation and recruitment of therapeutic anti-tumor immunity in concert with specific vaccination. Int J Cancer 129: 2158–2170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kao J, Ko EC, Eisenstein S, Sikora AG, Fu S, et al. (2011) Targeting immune suppressing myeloid-derived suppressor cells in oncology. Crit Rev Oncol Hematol 77: 12–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Ko JS, Rayman P, Ireland J, Swaidani S, Li G, et al. (2010) Direct and differential suppression of myeloid-derived suppressor cell subsets by sunitinib is compartmentally constrained. Cancer Res 70: 3526–3536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Kujawski M, Zhang C, Herrmann A, Reckamp K, Scuto A, et al. (2010) Targeting STAT3 in adoptively transferred T cells promotes their in vivo expansion and antitumor effects. Cancer Res 70: 9599–9610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Alfaro C, Suarez N, Gonzalez A, Solano S, Erro L, et al. (2009) Influence of bevacizumab, sunitinib and sorafenib as single agents or in combination on the inhibitory effects of VEGF on human dendritic cell differentiation from monocytes. Br J Cancer 100: 1111–1119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Kobayashi M, Kubo T, Komatsu K, Fujisaki A, Terauchi F, et al. (2013) Changes in peripheral blood immune cells: their prognostic significance in metastatic renal cell carcinoma patients treated with molecular targeted therapy. Med Oncol 30: 556. [DOI] [PubMed] [Google Scholar]
- 35. Barbi J, Pardoll D, Pan F (2013) Metabolic control of the Treg/Th17 axis. Immunol Rev 252: 52–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Mendel DB, Laird AD, Xin X, Louie SG, Christensen JG, et al. (2003) In vivo antitumor activity of SU11248, a novel tyrosine kinase inhibitor targeting vascular endothelial growth factor and platelet-derived growth factor receptors: determination of a pharmacokinetic/pharmacodynamic relationship. Clin Cancer Res 9: 327–337. [PubMed] [Google Scholar]
- 37. Houk BE, Bello CL, Kang D, Amantea M (2009) A population pharmacokinetic meta-analysis of sunitinib malate (SU11248) and its primary metabolite (SU12662) in healthy volunteers and oncology patients. Clin Cancer Res 15: 2497–2506. [DOI] [PubMed] [Google Scholar]
- 38. Heine A, Held SA, Bringmann A, Holderried TA, Brossart P (2011) Immunomodulatory effects of anti-angiogenic drugs. Leukemia 25: 899–905. [DOI] [PubMed] [Google Scholar]
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