Abstract
The standard treatment for Triple Negative Breast Cancer (TNBC) patients is cytotoxic chemotherapy, but it is restricted since the duration of response is usually short. Blocking the PD-1/PD-L1 pathway through monoclonal antibodies (mAbs) appears to be a promising therapeutic strategy for TNBC patients. Avelumab is a human IgG1 anti-PD-L1 mAb being tested in clinical trials that may also trigger antibody-dependent cell-mediated cytotoxicity (ADCC) against cancer cells as an additional antitumor activity. In the present work, we studied in vitro Avelumab-mediated ADCC against a panel of TNBC cells with different PD-L1 expression using peripheral blood mononuclear cells (PBMC) or purified NK cells from healthy donors. We determined that Avelumab significantly enhanced NK-cell mediated cytotoxicity against TNBC cells and that tumor cells expressing higher levels of PD-L1 were more sensitive to Avelumab-mediated ADCC. IFN-γ treatment upregulated PD-L1 expression in tumor cells but had a variable impact on Avelumab-mediated ADCC, which could be related to the simultaneous effect of IFN-γ on the expression of NK cell ligands. Moreover, IL-2 and IL-15 stimulation of NK cells enhanced Avelumab-triggered cytokine production and degranulation along with increased lytic activity against tumor cells. Improving the treatment of TNBC remains still a considerable challenge. This in vitro study suggests that Avelumab-mediated ADCC, independently of the blockade of the PD-1/PD-L1 pathway, could be a valuable mechanism for tumor cell elimination in TNBC. Avelumab combination with immunomodulators such as IL-15 or IL-2 could be taken into consideration to increase the therapeutic efficacy of Avelumab in TNBC.
Keywords: Avelumab, triple negative breast cancer (TNBC), PD-L1, ADCC, IL-2, IL-15, IFN-γ
Introduction
Triple-negative breast cancer (TNBC) is defined by the lack of expression of both estrogen and progesterone receptors and the absence of ERBB2 (HER2) over-expression. TNBC is a heterogeneous disease that accounts for 10–15% of all breast cancers (BC) (1) and is an aggressive subtype associated with poor outcomes compared to other subtypes (2, 3). The standard treatment for TNBC patients is cytotoxic chemotherapy, but it is restricted since the duration of response is usually short and rapid relapses are very common (3, 4).
TNBC has been divided into six molecular subtypes; one of them is the immunomodulatory subtype characterized by an enriched expression of genes involved in immune cell processes (5), a high immune cell infiltration in the tumor stroma and a high mutation rate (6, 7). Additionally, several studies have confirmed the predictive value of tumor-infiltrating lymphocytes (TILs) in neoadjuvant chemotherapy for TNBC (8–10). These features make TNBC patients suitable candidates for immunotherapy (11, 12).
The programmed cell death protein 1 (PD-1) is a negative regulator that limits the activity of T cells at a variety of stages of the immune response, particularly in the effector phase within tissues and tumors (13). PD-1 inhibits effector T-cell activity when it interacts with its two ligands: PD-L1 and PD-L2 (14). PD pathway-mediated evasion of tumor immunity is described as “adaptive resistance” since PD-L1 is absent in most normal tissues, while IFN-γ can induce its expression in virtually any nucleated cells (13–17). In some cancers, PD-L1 expression is driven constitutively by aberrant signaling pathways or chromosomal alterations (18). For instance, PTEN mutations generating PI3K–AKT pathway activation in some glioblastoma cases and 9p24.1 gene translocations or amplifications in certain lymphomas can result in extensive expression of PD-L1 and PD-L2 on the surface of the majority of tumor cells (18). The PTEN/PI3K pathway is relevant in BC because PTEN loss and PIK3CA mutations have been found in around 30 and 40% of primary breast tumors, respectively (19). Mittendorf et al. have shown that PTEN knockdown led to an increased cell membrane PD-L1 expression and PD-L1 transcripts in BC cell lines, suggesting transcriptional regulation (20). Recently, PD-L1 expression in primary BC tumors has been detected mainly in TNBC subtype with positive correlation with the amount of TILs and the presence of peritumoral tertiary lymphoid structures (TLS) (21). In this regard, PD-1/PD-L1 pathway blockade appears to be a promising therapeutic strategy for this tumor type.
Avelumab is a human IgG1 monoclonal antibody directed to PD-L1 that blocks the binding between PD-1 and PD-L1 without affecting PD-1/PD-L2 interactions. Avelumab was tested in a phase 1 trial (JAVELIN Solid Tumor; NCT01772004) in patients with metastatic BC refractory to or progressing after standard-of-care therapy (22). Avelumab had an acceptable safety profile and clinical activity in a subset of metastatic BC patients. Patients with PD-L1 expression in tumor-associated immune cells may present higher probability of clinical response to Avelumab (22). The data obtained in this and other studies suggest that it is possible to achieve a long-lasting clinical response with anti-PD-1/PD-L1 as monotherapy in a subgroup of metastatic BC patients, mainly TNBC (23, 24).
Moreover, unlike other PD-L1 blocking mAbs, Avelumab can potentially mediate Ab-dependent cell cytotoxicity (ADCC) against tumor cells (25). ADCC is defined as the immune mechanism through which Fc-receptor-bearing effector cells can kill target cells that have surface antigens complexed with an antibody. Three types of Fc receptors are involved in mediating IgG-dependent ADCC: FcγRI (CD64), FCγRII (CD32), and FcγRIIIA (CD16). Of these, FcγRIIIA (CD16) is often invoked as the main receptor involved, as it is expressed predominantly by Natural Killer (NK) cells (26).
NK cells are lymphocytes of the innate immunity that contribute with early responses against virus-infected and transformed cells (27). NK cell activation is controlled by a repertoire of germ-line encoded surface receptors that interact with their ligands on the target cell surface (28). The integration of signals from adhesion molecules and activating receptors induces the secretion of cytotoxic mediators (i.e., granzyme B and perforin) and the production of pro-inflammatory cytokines (e.g., IFN-γ and TNF-α) and diverse chemokines (29). Mature NK cells express at least one inhibitory receptor specific for self-MHC class I molecules (MHC-I) as a protective mechanism, repressing NK-cell activation against non-transformed cells (27, 30). Cytokines enhancing NK-cell proliferation and function such as IL-2 and IL-15 can be used to potentiate NK cell-mediated ADCC against antibody-coated tumor cells (31), offering the potential for multiple combinatorial immunotherapy strategies against cancer.
Recently, Avelumab-dependent cell cytotoxicity was demonstrated in an in vitro setting against several tumor models (25). However, there is still no clinical evidence available to show the contribution of ADCC to the clinical activity of Avelumab. Moreover, it has been shown that PD-L1 is also expressed by immune cells. However, a phase I trial with 28 patients showed the lack of any significant effect on the peripheral blood frequency of several immune cell subsets, even those expressing PD-L1, following multiple cycles of Avelumab. In addition, ex vivo experiments showed that NK cells isolated from metastatic NSCLC patients mediated ADCC triggered by Avelumab against human lung tumor cell lines but not against autologous PBMC, even when sorted to enrich for PD-L1 expression (32).
Due to the few possibilities of treatment in TNBC, in the present work we evaluated in vitro Avelumab-mediated ADCC against TNBC cell lines with different basal or IFN-γ-induced expression of PD-L1. We also investigated the effect of IL-2 and IL-15 on NK cell activation and cytokine production triggered by Avelumab.
Methods
Cell lines and cell culture
IIB-BR-G cell line has been established from a primary infiltrating ductal carcinoma (33). MDA-MB-231 (ATCC® HTB-26™), MDA-MB-468 (ATCC® HTB-132™), BT-549 (ATCC® HTB-122™) and Hs578T (ATCC® HTB-126™) were acquired from ATCC. All cell lines were grown at 37°C in a humid atmosphere containing 5% CO2 with Dulbecco's Modified Eagle Medium: Nutrient Mixture F-12 (DMEM/F12, Thermo-Fisher) except for BT-549 that was grown with RPMI-1640 Medium (Thermo-Fisher). Culture media were supplemented with 10% fetal calf serum (FCS), 2 mM L-glutamine and 10 μg/ml insulin. When indicated, cells were treated at 60–80% confluence with 10 IU/ml of recombinant human IFN-γ (Imukin-Boehringer Ingelheim) for 24 h and then harvested using EDTA/PBS.
Immunofluorescence analysis by FACS
Direct immunofluorescence staining was performed on TNBC cells for 30 min at 4°C using the following mAbs: FITC anti-MHC class I (clone G46-2.6), PE anti-CD112 (clone R2.5025) and PE anti-MICA/B (clone 6D4) from BD Biosciences; PE anti-CD155 (clone SKII.4) and APC anti-PDL1 (clone 29E.2A3) from BioLegend; PE anti-HLA-G (clone MEM-G/9) from Abcam; and their isotype-matched control mAbs. Indirect immunofluorescence was performed using anti-HLA-E (clone MEM-E/08, Abcam) or mouse monoclonal IgG1. Primary antibodies were incubated for 1 h at 4°C. After washing, cells were incubated for 1 h at 4°C with the secondary PE-labeled mAb. For dead cell exclusion, cells were stained with 7-Aminoactinomycin D (7-AAD) for 20 min on ice. Cells were acquired in a FACSCanto II flow cytometer (BD), and data were analyzed using FlowJo software (Tree Star). Results were expressed as a percentage of positive cells or normalized Median fluorescence intensity (MFI): MFI of cells stained with specific mAb/MFI of cells stained with isotype control. Fold change in expression after IFN-γ exposure was calculated as: normalized MFI of IFN-γ treated cells/normalized MFI of untreated cells.
Isolation of human cells and stimulation
Peripheral blood mononuclear cells (PBMC) from healthy donors were obtained by Ficoll–Paque PLUS (GE Healthcare) density gradient centrifugation and cryopreserved in FCS plus 10% dimethyl sulfoxide (DMSO). All donors signed an informed consent approved by the Institutional Review Board of the Instituto Alexander Fleming. PBMC effectors were thawed the evening before the assay and allowed to rest overnight (ON) in RPMI-1640 medium containing 10% FCS. When indicated, 1,000 IU/ml IL-2 or 10 ng/ml IL-15 (PreproTech) was added during the ON incubation and then washed out before the assay. For some experiments, NK cells were isolated from PBMC using NK cell Isolation Kit (Miltenyi Biotec) following the manufacturer's instructions and allowed to rest ON.
Lysis and ADCC assay
TNBC cells used as targets were labeled with 10 μM of Calcein-acetoxymethyl (Calcein-AM; Molecular Probes, Invitrogen) for 30 min at 37°C, washed twice and resuspended in serum-free assay medium (AIM V, Thermo Fisher). Five thousand target cells/well were seeded in 96-well plates. Effector cells were purified NK cells or PBMC normalized by percentage of NK cells. The cytotoxicity assays were performed at different NK cell:breast cancer cell (NK:BC) ratios in triplicate, with 1 μg/ml of Avelumab (Merck Serono) or human myeloma IgG1 isotype control mAb (catalog I 5154, Sigma-Aldrich). For some experiments, a humanized IgG1 anti-PD-L1 mAb engineered to avoid binding to human Fcγ receptors through a N298A mutation (Atezolizumab, Roche) (34) was used to assess the effect of PD-L1 blockade on NK cell cytotoxicity independent of ADCC. For spontaneous and maximum release, targets were incubated without effectors in assay medium alone or assay medium plus 1% Triton X-100, respectively. After incubation for 4 h at 37°C in 5% CO2, plates were centrifuged, and Calcein release was measured in supernatants by fluorimetry (OPTIMA, BMG Labtech). The percentage of specific lysis was calculated as (experimental release – spontaneous release)/(maximum release – spontaneous release) * 100.
CD107a degranulation and cytokine production assay
2.5 × 105 PBMC were cultured with TNBC cells in the presence of 1 μg/ml of Avelumab or human IgG1 isotype control mAb in 96-well plates with AIM V medium. The number of target cells was calculated according to the percentage of NK cells, so the co-cultures were performed at 1:1 NK cell:breast cancer cell (NK:BC) ratio. Cells were incubated for 6 h at 37°C in 5% CO2, with the addition of FITC anti-CD107a (clone H4A3, BD) from the beginning of the assay and Protein Transport Inhibitor (Golgi Stop, BD) after the first hour. Cells were harvested, washed and labeled with BV421 anti-CD56 and APC-H7 anti-CD3 (clones NCAM16.2 and SK7, BD) for 15 min at room temperature. After that, cells were fixed and permeabilized using Fixation and Permeabilization kit (BD) according to manufacturer's protocol, and then labeled with APC anti-IFN-γ and PE anti-TNF-α (clones 4S.B3 and MAb11, BD) for 30 min at 4°C. Cells were acquired in a FACSCanto II flow cytometer, and data were analyzed using FlowJo software. A representative gating strategy is shown in Supplementary Figure 2. The results were expressed as the percentage of IFN-γ+, TNF-α+, or CD107a+ cells after gating on total NK cells or CD56dim and CD56bright NK cell subsets. Basal degranulation and IFN-γ/TNF-α production were determined in the absence of target cells and are shown in the corresponding graphs.
Statistical analysis
GraphPad Prism 7.0 was used for graphs and paired t-test analysis. The comparison of multiple treatments was done with Infostat 2017 software (35) ANOVA with randomized block design was used to analyze data, considering treatments with mAbs (IgG1 or Avelumab), cytokines (IL-2 or IL-15) and their interaction as fixed factors and donors as a random factor (blocks); α = 0.05. Homoscedasticity and normality of residuals were analyzed by visual assessment of plots. If homoscedasticity was not achieved, models were fitted by the inclusion of the VarIdent, VarExp, or VarPower variance structure to the random part of the model (36). The best variance structure was chosen by comparison of Akaike's and Bayesian's Information Criteria. A p < 0.05 was considered to be statistically significant. EulerAPE was used for drawing Area-proportional Venn diagrams (37).
Results
Avelumab triggered NK cell-mediated cytotoxicity against TNBC cells depending on PD-L1 expression by tumor cells
PD-L1 in BC has been reported to be expressed mostly in hormone receptor-negative tumors (20). We tested cell surface PD-L1 expression in five TNBC cell lines by flow cytometry, four of them previously characterized (20). We found variable levels of PD-L1 expression; cell lines Hs578T, IIB-BR-G, and MDA-MB-231 expressed high levels of PD-L1, with 100% of cells positive for PD-L1 and a normalized MFI over 20. The other two cell lines (BT-549 and MDA-MB-468) expressed lower PD-L1 levels, with ~30% of cells positive for PD-L1 and a low normalized MFI (Figure 1A).
Avelumab is an IgG1 mAb directed to PD-L1 that, besides its function in immune checkpoint blockade, can mediate in vitro ADCC against tumor cells that express its target, with NK cells being the main effector cell population (25). We studied Avelumab ability to trigger ADCC against these five TNBC cell lines with different levels of PD-L1 expression. Using PBMC as the source of effector cells, Avelumab significantly increased tumor cell lysis compared to isotype control in the three cell lines with high PD-L1 expression at NK:BC ratio of 5:1 (Figure 1B). Regarding the cell lines expressing lower PD-L1 levels, BT-549 was killed by ADCC only at a higher NK:BC ratio of 10:1, while Avelumab did not increase MDA-MB-468 cell lysis in either of the two conditions (Figure 1C). In concordance with these results, Avelumab opsonization of TNBC cells increased NK cell degranulation (measured as CD107a cell surface expression) compared to isotype control. CD107a induction by Avelumab was significantly higher against MDA-MB-231 (PD-L1 high) than against BT-549 (PD-L1 low) (Figure 1D). We also evaluated cytotoxicity against MDA-MB-231 cells using NK cells purified from PBMC which corroborated that NK cells were major effectors of Avelumab-mediated ADCC (Figure 1E). Blocking PD-L1 with an IgG1 mAb engineered to avoid binding to human Fcγ receptors did not have a significant effect on cytotoxicity against MDA-MB-231 cells compared to isotype control (Figure 1F).
Modulation of PD-L1 and NK cell ligand expression in TNBC cell lines after treatment with IFN-γ had a variable impact on avelumab-mediated ADCC
IFN-γ has been reported to induce changes in the expression of several tumor cell ligands for NK cell activating and inhibitory receptors with different results on cancer cell sensitivity to NK cell-mediated lysis (38, 39). Moreover, PD-L1 expression has been described to increase in response to both type I and II interferons produced during an active antitumor immune response and could provide a mechanism of tumor escape from T cell responses (17). Therefore, we studied the effect of IFN-γ pre-treatment of TNBC cells on NK cell cytotoxicity. Changes in lysis and ADCC (Δ% Lysis) of treated compared to untreated cancer cells were quantified for each donor (Figure 2A). While exposure of high PD-L1 expressing cell lines to IFN-γ had no significant impact on Avelumab- triggered ADCC (Figures 2A,B), pre-treatment of BT-549 cells (low PD-L1 level) with IFN-γ significantly increased ADCC levels (Figures 2A,C). In concert, NK cell degranulation against BT-549 cells coated with Avelumab was higher when target cells had been exposed to IFN-γ (Supplementary Figure 1).
On the other hand, MDA-MB-468 (low PD-L1 level) cells were not sensitive to ADCC at 5:1 NK:BC ratio even when treated with IFN-γ (Figure 2A), so we tested a higher NK:BC ratio of 10:1. IFN-γ significantly reduced lysis against isotype control-coated cells, but Avelumab recovered cytotoxicity to the level of non-treated cells (Figures 2A,D).
We searched for changes in the phenotype of TNBC cells that could explain these effects of IFN-γ on NK cell lysis, starting with PD-L1 expression. IFN-γ induced PD-L1 in all cell lines except for Hs578T that had already the highest basal level of PD-L1 (Figure 2E). BT-549 showed the greatest change in PD-L1 expression (a six-fold increase) which could account for the increased sensitivity to Avelumab-triggered ADCC. Next, we studied changes in the expression of NK cell inhibitory (MHC-I, HLA-E, and HLA-G) and activating (MICA/B, CD112, and CD155) ligands. The most upregulated NK inhibitory ligand was MHC-I, which increased at least 1.5-times in all cell lines, followed by HLA-E. On the other hand, NK activating ligands were either not modulated or tended to be downregulated (Figure 2F).
In summary, Avelumab-mediated ADCC was increased or maintained when tumor cells were exposed to IFN-γ. The balance between the changes in PD-L1 levels and NK cell ligands could explain the different results observed in the five cell lines.
IL-2 and IL-15 stimulation of NK cells enhanced avelumab-triggered cytokine production and degranulation
It has long been observed that NK cell activation through FcγRIIIa promotes pro-inflammatory cytokine secretion. This activity known as Ab-dependent cytokine release—ADCR—has been postulated to influence other immune cells in proximity and to be concomitant to ADCC (40). Here, we studied pro-inflammatory cytokines produced as a consequence of Avelumab-mediated NK cell activation. Avelumab slightly induced IFN-γ and TNF-α production by NK cells against MDA-MB-231 cells compared to isotype control (Left panel of Figures 3A,B, respectively).
With the aim of studying immune modulators to augment Avelumab antitumor activities, we assessed the effect of treating effector cells with IL-2 or IL-15. Both treatments increased IFN-γ (Figure 3A) and TNF-α (Figure 3B) production and NK cell degranulation (Figure 3C) against target cells coated with isotype control compared to effector cells alone, and all of these activities were greatly augmented by Avelumab. Of note, IL-15 stimulated NK cell degranulation and cytokine production more than IL-2. As shown in Figure 3D, NK cells that produced IFN-γ and/or TNF-α were mainly the ones that had degranulated.
We next analyzed pro-inflammatory cytokine production within CD56dim and CD56bright NK subsets separately. In the absence of the pre-stimulation of effector cells, the low level of pro-inflammatory cytokines induced by Avelumab was mainly produced by CD56dim NK cells. Meanwhile, when effector cells were stimulated with IL-2 or IL-15 in combination with Avelumab-coated cells, both CD56bright and CD56dim subsets produced cytokines (Supplementary Figure 2).
Stimulation with IL-2 and IL-15 increased cytotoxicity of TNBC cells
Next, we studied IL-2 or IL-15 effect on lysis of TNBC cells, starting with high PD-L1 expressing cell lines. IL-2 or IL-15 addition to effector cells increased Avelumab-mediated ADCC against MDA-MB-231 cells compared to untreated effectors (Figure 4A). Noteworthy, the effect of IL-2/IL-15 and Avelumab combination was additive, as the same magnitude of increase in lysis by IL-2/IL-15 was obtained when target cells were coated with Avelumab or with isotype control (test for interaction in ANOVA with two fixed factor, cytokine and mAb: p = 0.67).
Then, we analyzed IL-2 or IL-15 effect on cytotoxicity against the low PD-L1 expressing cell lines that were slightly or not sensitive to ADCC in basal conditions (Figures 1B,C). Both cytokines increased lysis of target cells to a similar extent when coated with Avelumab or with isotype control (Figure 4B for MDA-MB-468 and Figure 4C left panel for BT-549). So, IL-2 or IL-15 increased the cytotoxic activity of NK cells but did not to increase the sensitivity of tumor cells to Avelumab-mediated ADCC.
Taking into account that Avelumab treatment in combination with IL-2 or IL-15 may result in tumor cells being exposed to higher levels of IFN-γ derived from NK cells or CD8 T cells (41); we further studied in vitro the effect of combining both treatments. We focused on BT-549 cell line which displayed the greatest change in PD-L1 expression after IFN-γ exposure (Figure 2E). As we previously shown, IFN-γ augmented sensitivity of BT-549 to Avelumab-mediated ADCC, and IL-2 or IL-15 pre-treatment significantly increased ADCC compared to untreated effectors (Figure 4C right panel).
Discussion
Chemotherapy is the current standard treatment for TNBC. Even though TNBCs are highly sensitive to chemotherapy, patients have high rates of relapse, which has been described as the “triple-negative paradox” (2, 42, 43). Therapeutically targeting TNBC with mAbs that block the PD-1/PD-L1 axis is supported by diverse novel studies. Mittendorf et al. (20) described higher expression of PD-L1 in TNBC than in hormone receptor-positive BC; the analysis on tissue microarrays showed around 20% of primary TNBC tumors expressing PD-L1. Moreover, several studies have reported that TNBCs present higher level of TILs compared with hormone receptor-positive BC (9), with prognostic significance in TNBC (44). In addition, TNBC present genomic instability and high rates of genetic mutations, which can implicate the generation of more neoantigens and augmented immunogenicity (45, 46). Nowadays, several mAbs are being studied to block PD-1/PD-L1 axis in TNBC; preliminary data from clinical trials presented promising results for patients with advanced stage/metastatic TNBC. Patients who responded to the treatment had a favorable prognosis and often showed a significant increase in the overall survival. Still, the objective response rate was relatively low. Therefore, it is necessary to find strategies to enhance the response to this therapy in TNBC and to transform the non-responders into responders (47).
Unlike other anti-PD-L1 mAbs, Avelumab was designed as IgG1 to trigger ADCC against tumor cells (25). ADCC involves ligation of CD16 expressed by NK cells with the Fc region of mAbs. Tumor antigen-targeting mAbs have demonstrated success in the treatment of various malignancies and are now widely used in the clinic (48). With the aim to characterize the Fcγ-mediated mechanism of action played by Avelumab in TNBC, we studied in vitro Avelumab-dependent cellular cytotoxicity and cytokine release against five cell lines that present a spectrum of PD-L1 expression levels. We demonstrated that Avelumab triggered ADCC against TNBC cells expressing certain levels of PD-L1 with a significant increase in tumor cell lysis compared to isotype control when PBMC or purified NK cells were used as effector cells. We did not perform a correlation analysis between PD-L1 expression and ADCC sensitivity because of the limited number of cell lines but, in this regard, Boyerinas developed a PD-L1 score that integrates % PD-L1–positive cells and MFI, using the same clone of anti-PD-L1 mAb for staining (25). We calculated this score for the cell lines used in the present work. As they described, scores ≥ 6 (Hs578T and IIB-BR-G) were predictive of ADCC sensitivity, whereas scores ≤ 4 (BT-549 and MDA-MB-468) were predictive of low or non-ADCC sensitivity. To take into account, the optimal isotype control would have been an IgG1 produced as Avelumab, with an almost identical Fc-amino acid sequence, since the isotype control used could have had different binding to FcγRIIIa than Avelumab due to differences in fucosylation.
In the experimental conditions of this study, we detected very low or non-PD-1 expression on NK cells of healthy donors (data not shown) and blocking PD-L1 with an IgG1 mAb engineered to avoid binding to human Fcγ receptors did not increase cytotoxicity. However, recent studies have shown that PD-1 is upregulated on NK cells of patients with various tumors (49–52) functioning as an inhibitory regulator of NK cells. In that context, blockade of PD-1/PD-L1 interaction increased NK cell activity against tumor cells expressing PD-L1. This could be seen as another path for the action of Avelumab, analogous to the mode of action on T lymphocytes.
One factor that can be involved in the inter-individual variability in NK cell-mediated ADCC is the CD16 polymorphism. Although this association has been determined in studies involving different tumor antigen-targeting mAbs of IgG1 isotype (Rituximab, Trastuzumab, and Cetuximab), it is still controversial in different settings (53). Preliminary in vitro results have shown higher Avelumab-mediated ADCC with NK cells from volunteers with the V/V genotype (25). Clinical studies are needed to investigate if there is an association between FcγRIIIa polymorphism and clinical response in patients treated with Avelumab.
It has been described in solid tumors that cytotoxic TILs upregulate PD-1 expression and secrete IFN-γ when they encounter tumor antigens, which triggers an adaptive response to IFN-γ with a consequent upregulation of PD-L1 expression in tumor cells and infiltrating immune cells in the vicinity (54, 55). We studied the effect of IFN-γ treatment on TNBC cells, determining that it significantly augmented PD-L1 expression in 4 out of 5 cell lines, but at the same time it modulated the expression of some NK cell ligands, with MHC-I being the most upregulated. Besides, it is possible that IFN-γ modulated NK cell ligands other than the ones analyzed in this study which could have differentially impacted on NK cell cytotoxicity. As was observed by Boyerinas, IFN-γ did not always enhance ADCC, which could probably be explained by the balance between the expression of PD-L1 and NK cell ligands after IFN-γ treatment (25). Only in the case of BT-549 cells, IFN-γ significantly increased sensitivity to Avelumab triggered ADCC, which could be explained by a six-fold increase in PD-L1 expression. Recently, Aquino-López (38) studied a panel of 22 pediatric-tumor cell lines and showed that IFN-γ led to an increased resistance to NK cells for six of them, while it resulted in augmented sensitivity for three of them. Several NK cell ligands were upregulated, but the results of that study suggested that the effect of IFN-γ on NK cell-mediated lysis of tumor cells was mainly associated with changes in MHC-I and ICAM-1 expression. In our study, lysis against TNBC cells in the absence of Avelumab was rather low at the NK:BC ratios used and tend to diminish with IFN-γ treatment for MDA-MB-468 cell line. This negative effect of IFN-γ was more marked when effector cells were stimulated with IL-2/IL-15 and was observed for other cell lines in addition to MDA-MB-468 (data not shown). However, Avelumab mediated cytotoxicity was maintained or even increased under these unfavorable conditions for NK cell lysis.
It has long been observed that NK cell activation through FcγRIIIa promotes IFN-γ and TNF-α secretion (40). Regarding tumor antigen-targeting mAbs, it was demonstrated that Trastuzumab-coated cancer cells could induce IFN-γ production by human NK cells, especially in the presence of IL-12, and IFN-γ release was considered an important factor for Trastuzumab-antitumor activity (56). Additionally, it was shown that mAb-mediated promotion of IFN-γ release induced dendritic cell maturation and higher antigen presentation, which is supposed to augment cross-presentation to CD8 T cells, thus connecting the innate and adaptive immune responses (57). Here, we demonstrated for the first time that Avelumab was able to trigger IFN-γ and TNF-α production by NK cells against TNBC cells in vitro. Both activities were concomitant with Avelumab-mediated NK cell degranulation and occurred mainly in the CD56dim subset.
Moreover, looking for strategies to improve antitumor activities mediated by NK cells, we previously determined that IFN-γ release was promoted by IL-2/IL-15 in an in vitro model testing Cetuximab-mediated ADCC against TNBC cells (58). In the present work, both IL-2 and IL-15 promoted a significant augmentation of IFN-γ and TNF-α production by both CD56dim and CD56bright NK cell subsets when TNBC cells were coated with Avelumab. IL-2/IL-15 stimulation also increased lysis and ADCC against TNBC cells but did not increase the sensitivity of low PD-L1 expressing cells to Avelumab-mediated ADCC. Interleukins promote the activation, differentiation, proliferation, and/or survival of lymphocytes. While IL-2 stimulates almost all T cells, including Treg cells, and most NK cells (59), IL-15 activates mainly CD8+ T cells and non-terminally differentiated NK cells (60, 61). Lately, many approaches have been described to improve the in vivo half-life and efficacy of IL-15, principally by producing IL-15/IL-15Rα conjugates called IL-15 superagonist (62). This renovates the prospect of using IL-15 as a cancer immunotherapeutic drug and combining it with other immuno-oncological agents. Pre-clinical models have demonstrated enhanced anti-tumor responses by combining IL-15 or IL-15/IL-15Rα with checkpoint blocking antibodies targeting murine PD-L1 (62). Recently, a phase I clinical trial has shown that administration of IL-15 superagonist ALT-803 in combination with nivolumab is safe and tolerable (63). Regarding other immunomodulators, pre-clinical (64, 65) and clinical (NCT02994953) studies are investigating NHS-muIL12 and Avelumab combination therapy in different tumor settings. In EMT-6 breast cancer model, combination therapy enhanced antitumor efficacy relative to either monotherapy, induced the generation of tumor-specific immune memory, and enhanced T-bet expression and proliferation of NK and CD8+ T-cells (65). Furthermore, a phase 1b/2 study (NCT02554812), which incorporates a group of TNBC patients, is currently testing Avelumab combination with novel immunotherapies.
Improving the treatment of TNBC remains still a considerable challenge. Our in vitro results suggest that Avelumab-mediated ADCC could be a useful mechanism to eliminate tumor cells in TNBC patients, apart from the blockade of the PD-1/PD-L1 pathway. By this approach, Avelumab could act as a tumor antigen-targeting antibody and checkpoint inhibitor at the same time, resulting in NK and CD8 T cell activation. Avelumab combination with immunomodulators such as IL-15 or IL-2 could be taken into consideration to increase the therapeutic efficacy of Avelumab in TNBC.
Ethics statement
This study was carried out in accordance with the recommendations of Comité de Ética del Instituto Medico Especializado Alexander Fleming. Blood samples from healthy donors were obtained after signing informed consent, according to the Instituto Medico Alexander Fleming guidelines, at the Hemotherapy Service.
Author contributions
EJ collected, assembled, analyzed and interpreted the data, and wrote the manuscript. AA and MP collected and analyzed the data. JM interpreted the data and revised the manuscript. EL analyzed and interpreted the data and wrote the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.
Conflict of interest statement
This study was supported by Merck KGaA, Darmstadt, Germany as a grant for an investigator-sponsored study between Merck KGaA and Fundación Cáncer. Merck KGaA reviewed the manuscript before journal submission. The authors are fully responsible for the content of this manuscript, and the views and opinions described in the publication reflect solely those of the authors.
Acknowledgments
We thank Dr. Karina Rainiero and all Department of Hemotherapy from Instituto Médico Especializado Alexander Fleming for their help in this study. We thank Holliday Cartar for her assistance in language correction.
Glossary
Abbreviations
- PD-L1
Programmed death-ligand 1
- TNBC
Triple Negative Breast Cancer
- PD-1
Programmed cell death protein 1
- mAb
Monoclonal Antibody
- ADCC
Antibody-directed cellular cytotoxicity
- IFN-γ
Interferon-gamma
- IL-2
Interleukin 2
- IL-15
Interleukin 15
- NK
Natural Killer
- TIL
Tumor-infiltrating lymphocytes
- BC
Breast cancer
- PTEN
Phosphatase and tensin homolog
- PI3K
Phosphoinositide 3-kinase
- Ig
Immunoglobulin
- Fc
Fragment crystallizable
- FcγR
Fc gamma Receptor
- TNF-α
Tumor necrosis factor alpha
- HLA
Human Leucocyte Antigen
- MHC
major histocompatibility complex
- FCS
fetal calf serum
- MICA/B
MHC class I related-protein A and B
- MFI
Median fluorescence intensity
- PBMC
Peripheral blood mononuclear cells
- ON
overnight
- NK:BC ratio
NK cell: BC cell ratio
- ADCR
Antibody-dependent cytokine release
- γc
γ-chain
- Treg
Regulatory T cells
- STAT5
signal transducer and activator of transcription 5
- BCL2
B-cell lymphoma 2.
Footnotes
Funding. This work was supported by grants from CONICET, Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT), Fundación Sales, Fundación Cáncer, Fundación Pedro F. Mosoteguy, Argentina as well as a grant for an investigator-sponsored study between Merck KGaA (Darmstadt, Germany) and Fundación Cáncer. JM and EL are the members of CONICET. EJ is fellow from CONICET.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2018.02140/full#supplementary-material
References
- 1.Bauer KR, Brown M, Cress RD, Parise CA, Caggiano V. Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype. Cancer (2007) 109:1721–8. 10.1002/cncr.22618 [DOI] [PubMed] [Google Scholar]
- 2.Carey LA, Dees EC, Sawyer L, Gatti L, Moore DT, Collichio F, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res. (2007) 13:2329–34. 10.1158/1078-0432.CCR-06-1109 [DOI] [PubMed] [Google Scholar]
- 3.Dent R, Trudeau M, Pritchard KI, Hanna WM, Kahn HK, Sawka CA, et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. (2007) 13:4429–34. 10.1158/1078-0432.CCR-06-3045 [DOI] [PubMed] [Google Scholar]
- 4.André F, Zielinski CC. Optimal strategies for the treatment of metastatic triple-negative breast cancer with currently approved agents. Ann Oncol. (2012) 23:vi46–51. 10.1093/annonc/mds195 [DOI] [PubMed] [Google Scholar]
- 5.Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y, et al. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest. (2011) 121:2750–67. 10.1172/JCI45014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Smid M, Hoes M, Sieuwerts AM, Sleijfer S, Zhang Y, Wang Y, et al. Patterns and incidence of chromosomal instability and their prognostic relevance in breast cancer subtypes. Breast Cancer Res Treat. (2011) 128:23–30. 10.1007/s10549-010-1026-5 [DOI] [PubMed] [Google Scholar]
- 7.Hammerl D, Smid M, Timmermans AM, Sleijfer S, Martens JWM, Debets R. Breast cancer genomics and immuno-oncological markers to guide immune therapies. Semin Cancer Biol. (2018) 52:178–88. 10.1016/j.semcancer.2017.11.003 [DOI] [PubMed] [Google Scholar]
- 8.Ono M, Tsuda H, Shimizu C, Yamamoto S, Shibata T, Yamamoto H, et al. Tumor-infiltrating lymphocytes are correlated with response to neoadjuvant chemotherapy in triple-negative breast cancer. Breast Cancer Res Treat. (2012) 132:793–805. 10.1007/s10549-011-1554-7 [DOI] [PubMed] [Google Scholar]
- 9.Denkert C, Loibl S, Noske A, Roller M, Müller BM, Komor M, et al. Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer. J Clin Oncol. (2010) 28:105–13. 10.1200/JCO.2009.23.7370 [DOI] [PubMed] [Google Scholar]
- 10.Denkert C, von Minckwitz G, Brase JC, Sinn B V, Gade S, Kronenwett R, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2–positive and triple-negative primary breast cancers. J Clin Oncol. (2015) 33:983–91. 10.1200/JCO.2014.58.1967 [DOI] [PubMed] [Google Scholar]
- 11.Migali C, Milano M, Trapani D, Criscitiello C, Esposito A, Locatelli M, et al. Strategies to modulate the immune system in breast cancer: checkpoint inhibitors and beyond. Ther Adv Med Oncol. (2016) 8:360–74. 10.1177/1758834016658423 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Emens LA. Breast cancer immunobiology driving immunotherapy: vaccines and immune checkpoint blockade. Expert Rev Anticancer Ther. (2012) 12:1597–611. 10.1586/era.12.147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Chen L. Co-inhibitory molecules of the B7–CD28 family in the control of T-cell immunity. Nat Rev Immunol. (2004) 4:336–47. 10.1038/nri1349 [DOI] [PubMed] [Google Scholar]
- 14.Zou W, Chen L. Inhibitory B7-family molecules in the tumour microenvironment. Nat Rev Immunol. (2008) 8:467–77. 10.1038/nri2326 [DOI] [PubMed] [Google Scholar]
- 15.Dong H, Strome SE, Salomao DR, Tamura H, Hirano F, Flies DB, et al. Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion. Nat Med. (2002) 8:793–800. 10.1038/nm730 [DOI] [PubMed] [Google Scholar]
- 16.Flies DB, Sandler BJ, Sznol M, Chen L. Blockade of the B7-H1 / PD-1 pathway for cancer immunotherapy. Yale J Biol Med. (2011) 84:409–21. [PMC free article] [PubMed] [Google Scholar]
- 17.Ribas A. Adaptive immune resistance: how cancer protects from immune attack. Cancer Discov. (2015) 5:915–9. 10.1158/2159-8290.CD-15-0563 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Topalian SL, Taube JM, Anders RA, Pardoll DM. Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy. Nat Rev Cancer (2016) 16:275–87. 10.1038/nrc.2016.36 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gonzalez-Angulo AM, Ferrer-Lozano J, Stemke-Hale K, Sahin A, Liu S, Barrera JA, et al. PI3K pathway mutations and PTEN levels in primary and metastatic breast cancer. Mol Cancer Ther. (2011) 10:1093–101. 10.1158/1535-7163.MCT-10-1089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mittendorf EA, Philips A V, Meric-Bernstam F, Qiao N, Wu Y, Harrington S, et al. PD-L1 expression in triple-negative breast cancer. Cancer Immunol Res. (2014) 2:361–70. 10.1158/2326-6066.CIR-13-0127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Buisseret L, Garaud S, de Wind A, Van den Eynden G, Boisson A, Solinas C, et al. Tumor-infiltrating lymphocyte composition, organization and PD-1/PD-L1 expression are linked in breast cancer. Oncoimmunology (2017) 6:e1257452. 10.1080/2162402X.2016.1257452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Dirix L, Takacs I, Nikolinakos P, Jerusalem G, Arkenau H-T, Hamilton E, et al. Abstract S1-04: avelumab (MSB0010718C), an anti-PD-L1 antibody, in patients with locally advanced or metastatic breast cancer: a phase Ib JAVELIN solid tumor trial. Cancer Res. (2016) 76:S1–4. 10.1158/1538-7445.SABCS15-S1-04 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Nanda R, Chow LQM, Dees EC, Berger R, Gupta S, Geva R, et al. Pembrolizumab in patients with advanced triple-negative breast cancer: phase Ib KEYNOTE-012 study. J Clin Oncol. (2016) 34:2460–7. 10.1200/JCO.2015.64.8931 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Schmid P, Cruz C, Braiteh FS, Eder JP, Tolaney S, Kuter I, et al. Abstract 2986: Atezolizumab in metastatic TNBC (mTNBC): long-term clinical outcomes and biomarker analyses. Cancer Res. (2017) 77:2986 10.1158/1538-7445.AM2017-2986 [DOI] [Google Scholar]
- 25.Boyerinas B, Jochems C, Fantini M, Heery CR, Gulley JL, Tsang KY, et al. Antibody-dependent cellular cytotoxicity activity of a novel anti-PD-L1 antibody Avelumab (MSB0010718C) on human tumor cells. Cancer Immunol Res. (2015) 3:1148–57. 10.1158/2326-6066.CIR-15-0059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wang W. NK cell-mediated antibody-dependent cellular cytotoxicity in cancer immunotherapy. Front Immunol. (2015) 6:368. 10.3389/fimmu.2015.00368 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Vivier E, Tomasello E, Baratin M, Walzer T, Ugolini S. Functions of natural killer cells. Nat Immunol. (2008) 9:503–10. 10.1038/ni1582 [DOI] [PubMed] [Google Scholar]
- 28.Vivier E, Raulet DH, Moretta A, Caligiuri MA, Zitvogel L, Lanier LL, et al. Innate or adaptive immunity? The example of natural killer cells. Science (2011) 331:44–9. 10.1126/science.1198687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bryceson YT, Ljunggren HG, Long EO. Minimal requirement for induction of natural cytotoxicity and intersection of activation signals by inhibitory receptors. Blood (2009) 114:2657–66. 10.1182/blood-2009-01-201632 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lanier LL. Up on the tightrope: natural killer cell activation and inhibition. Nat Immunol. (2008) 9:495–502. 10.1038/ni1581 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Muntasell A, Ochoa MC, Cordeiro L, Berraondo P, López-Díaz de Cerio A, Cabo M, et al. Targeting NK-cell checkpoints for cancer immunotherapy. Curr Opin Immunol. (2017) 45:73–81. 10.1016/j.coi.2017.01.003 [DOI] [PubMed] [Google Scholar]
- 32.Donahue RN, Lepone LM, Grenga I, Jochems C, Fantini M, Madan RA, et al. Analyses of the peripheral immunome following multiple administrations of avelumab, a human IgG1 anti-PD-L1 monoclonal antibody. J Immunother Cancer (2017) 5:20. 10.1186/s40425-017-0220-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bover L, Barrio M, Slavutsky I, Bravo AI, Quintans C, Bagnăti A, et al. Description of a new human breast cancer cell line, IIB-BR-G, established from a primary undifferentiated tumor. Breast Cancer Res Treat. (1991) 19:47–56. 10.1007/BF01975204 [DOI] [PubMed] [Google Scholar]
- 34.Herbst RS, Soria JC, Kowanetz M, Fine GD, Hamid O, Gordon MS, et al. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature (2014) 515:563–7. 10.1038/nature14011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Di Rienzo JA, Casanoves F, Balzarini MG, Gonzalez L, Tablada M. RC InfoStat Versión 2017. (2017) Available online at: http://www.infostat.com.ar
- 36.José C. Pinheiro DMB. Mixed-Effects Models in S and S-PLUS. New York, NY: Springer-Verlag; (2000). [Google Scholar]
- 37.Micallef L, Rodgers P. euler APE: drawing area-proportional 3-Venn diagrams using ellipses. PLoS ONE (2014) 9:e101717 10.1371/journal.pone.0101717 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Aquino-López A, Senyukov VV, Vlasic Z, Kleinerman ES, Lee DA. Interferon gamma induces changes in Natural Killer (NK) cell ligand expression and alters NK cell-mediated lysis of pediatric cancer cell lines. Front Immunol. (2017) 8:391. 10.3389/fimmu.2017.00391 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mojic M, Takeda K, Hayakawa Y. The dark side of IFN-γ: its role in promoting cancer immunoevasion. Int J Mol Sci. (2017) 19:E89. 10.3390/ijms19010089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cassatella MA, Anegón I, Cuturi MC, Griskey P, Trinchieri G, Perussia B. Fc gamma R(CD16) interaction with ligand induces Ca2+ mobilization and phosphoinositide turnover in human natural killer cells. Role of Ca2+ in Fc gamma R(CD16)-induced transcription and expression of lymphokine genes. J Exp Med. (1989) 169:549–67. 10.1084/jem.169.2.549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Grenga I, Donahue RN, Lepone LM, Richards J, Schlom J. A fully human IgG1 anti-PD-L1 MAb in an in vitro assay enhances antigen-specific T-cell responses. Clin Transl Immunol. (2016) 5:e83. 10.1038/cti.2016.27 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Rouzier R. Breast Cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. (2005) 11:5678–85. 10.1158/1078-0432.CCR-04-2421 [DOI] [PubMed] [Google Scholar]
- 43.Liedtke C, Mazouni C, Hess KR, André F, Tordai A, Mejia JA, et al. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol. (2008) 26:1275–81. 10.1200/JCO.2007.14.4147 [DOI] [PubMed] [Google Scholar]
- 44.Adams S, Gray RJ, Demaria S, Goldstein L, Perez EA, Shulman LN, et al. Prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancers from two phase III randomized adjuvant breast cancer trials: ECOG 2197 and ECOG 1199. J Clin Oncol. (2014) 32:2959–66. 10.1200/JCO.2013.55.0491 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Budczies J, Bockmayr M, Denkert C, Klauschen F, Lennerz JK, Györffy B, et al. Classical pathology and mutational load of breast cancer-integration of two worlds. J Pathol Clin Res. (2015) 1:225–38. 10.1002/cjp2.25 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Banerji S, Cibulskis K, Rangel-Escareno C, Brown KK, Carter SL, Frederick AM, et al. Sequence analysis of mutations and translocations across breast cancer subtypes. Nature (2012) 486:405–9. 10.1038/nature11154 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Tolba MF, Omar HA. Immunotherapy, an evolving approach for the management of triple negative breast cancer: converting non-responders to responders. Crit Rev Oncol Hematol. (2018) 122:202–7. 10.1016/j.critrevonc.2018.01.005 [DOI] [PubMed] [Google Scholar]
- 48.Weiner LM, Surana R, Wang S. Monoclonal antibodies: versatile platforms for cancer immunotherapy. Nat Rev Immunol. (2010) 10:317–27. 10.1038/nri2744 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Benson DM, Bakan CE, Mishra A, Hofmeister CC, Efebera Y, Becknell B, et al. The PD-1/PD-L1 axis modulates the natural killer cell versus multiple myeloma effect: a therapeutic target for CT-011, a novel monoclonal anti-PD-1 antibody. Blood (2010) 116:2286–94. 10.1182/blood-2010-02-271874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Beldi-Ferchiou A, Lambert M, Dogniaux S, Vély F, Vivier E, Olive D, et al. PD-1 mediates functional exhaustion of activated NK cells in patients with Kaposi sarcoma. Oncotarget (2016) 7:72961–77. 10.18632/oncotarget.12150 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Pesce S, Greppi M, Tabellini G, Rampinelli F, Parolini S, Olive D, et al. Identification of a subset of human natural killer cells expressing high levels of programmed death 1: a phenotypic and functional characterization. J Allergy Clin Immunol. (2017) 139:335–46.e3. 10.1016/j.jaci.2016.04.025 [DOI] [PubMed] [Google Scholar]
- 52.Liu Y, Cheng Y, Xu Y, Wang Z, Du X, Li C, et al. Increased expression of programmed cell death protein 1 on NK cells inhibits NK-cell-mediated anti-tumor function and indicates poor prognosis in digestive cancers. Oncogene (2017) 36:6143–53. 10.1038/onc.2017.209 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Mellor JD, Brown MP, Irving HR, Zalcberg JR, Dobrovic A. A critical review of the role of Fc gamma receptor polymorphisms in the response to monoclonal antibodies in cancer. J Hematol Oncol. (2013) 6:1. 10.1186/1756-8722-6-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Taube JM, Klein A, Brahmer JR, Xu H, Pan X, Kim JH, et al. Association of PD-1, PD-1 ligands, and other features of the tumor immune microenvironment with response to anti-PD-1 therapy. Clin Cancer Res. (2014) 20:5064–74. 10.1158/1078-0432.CCR-13-3271 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Mimura K, Teh JL, Okayama H, Shiraishi K, Kua LF, Koh V, et al. PD-L1 expression is mainly regulated by interferon gamma associated with JAK-STAT pathway in gastric cancer. Cancer Sci. (2018) 109:43–53. 10.1111/cas.13424 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Parihar R, Dierksheide J, Hu Y, Carson WE. IL-12 enhances the natural killer cell cytokine response to Ab-coated tumor cells. J Clin Invest. (2002) 110:983–92. 10.1172/JCI0215950 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Srivastava RM, Lee SC, Andrade Filho PA, Lord CA, Jie H-B, Davidson HC, et al. Cetuximab-activated natural killer and dendritic cells collaborate to trigger tumor antigen-specific T-cell immunity in head and neck cancer patients. Clin Cancer Res. (2013) 19:1858–72. 10.1158/1078-0432.CCR-12-2426 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Roberti MP, Barrio MM, Bravo AI, Rocca YS, Arriaga JM, Bianchini M, et al. IL-15 and IL-2 increase Cetuximab-mediated cellular cytotoxicity against triple negative breast cancer cell lines expressing EGFR. Breast Cancer Res Treat. (2011) 130:465–75. 10.1007/s10549-011-1360-2 [DOI] [PubMed] [Google Scholar]
- 59.Ito S, Bollard CM, Carlsten M, Melenhorst JJ, Biancotto A, Wang E, et al. Ultra-low dose interleukin-2 promotes immune-modulating function of regulatory T cells and natural killer cells in healthy volunteers. Mol Ther. (2014) 22:1388–95. 10.1038/mt.2014.50 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Leclercq BG, Debacker V, Smedt M De. Differential effects of interleukin-15 and interleukin-2 on differentiation of bipotential T/natural killer progenitor cells. J Exp Med. (1996) 184:325–36. 10.1084/jem.184.2.325 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pillet A-H, Bugault F, Thèze J, Chakrabarti LA, Rose T. A Programmed Switch from IL-15- to IL-2-dependent activation in human NK cells. J Immunol. (2009) 182:6267–77. 10.4049/jimmunol.0801933 [DOI] [PubMed] [Google Scholar]
- 62.Robinson TO, Schluns KS. The potential and promise of IL-15 in immuno-oncogenic therapies. Immunol Lett. (2017) 190:159–68. 10.1016/j.imlet.2017.08.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Wrangle JM, Velcheti V, Patel MR, Garrett-Mayer E, Hill EG, Ravenel JG, et al. ALT-803, an IL-15 superagonist, in combination with nivolumab in patients with metastatic non-small cell lung cancer: a non-randomised, open-label, phase 1b trial. Lancet Oncol. (2018) 19:694–704. 10.1016/S1470-2045(18)30148-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Fallon JK, Vandeveer AJ, Schlom J, Greiner JW. Enhanced antitumor effects by combining an IL-12/anti-DNA fusion protein with avelumab, an anti-PD-L1 antibody. Oncotarget (2017) 8:20558–71. 10.18632/oncotarget.16137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Xu C, Zhang Y, Alexander Rolfe P, Hernández VM, Guzman W, Kradjian G, et al. Combination therapy with NHS-muIL12 and avelumab (anti-PD-L1) enhances antitumor efficacy in preclinical cancer models. Clin Cancer Res. (2017) 23:5869–80. 10.1158/1078-0432.CCR-17-0483 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.