Abstract
Macrophages engulf apoptotic bodies and cellular debris as part of homeostasis, but they can also phagocytose live cells, such as aged red blood cells. Pharmacologic reprogramming with the SMAC mimetic LCL161 in combination with T-cell-derived cytokines can induce macrophages to phagocytose live cancer cells in mouse models. Here we extend these findings to encompass a wide range of monovalent and bivalent SMAC mimetic compounds, demonstrating that live cell phagocytosis is a class effect of these agents. We demonstrate robust phagocytosis of live pancreatic and breast cancer cells by primary human macrophages across a range of healthy donors. Unlike mouse macrophages, where a combination of SMAC mimetics with lymphotoxin enhanced phagocytosis, human macrophages were more efficiently polarized to phagocytose live cells by the combination of SMAC mimetics and IFNg. We profiled phagocytic macrophages by transcriptional and proteomic methodologies, uncovering a positive feedback loop of autocrine TNFa production.
Keywords: SMAC mimetic, phagocytosis, macrophage, NF-kB, IAP antagonist, LCL161, LCL-161
Graphical Abstract
Graphical Abstract.
Introduction
Macrophage clearance of apoptotic cells, also known as efferocytosis, plays a critical role in eliminating damaged cells to maintain homeostasis. Efferocytotic macrophages also promote tissue repair through secretion of growth factors, suppression of effector T-cell responses through IL-10 and TGFβ, and downregulation of inflammatory cytokines TNFα and IL1β [1]. Macrophages distinguish apoptotic cells from live cells through scavenger receptors, including Tim1, Tim4, CD36, and CD300f, which can bind to phosphatidylserine on the outer layer of the apoptotic cells [1]. Bridging receptors like Mertk bind to Gas6 and Protein S that engage phosphatidylserine on dying cells [2, 3]. Macrophages can also secrete various factors to recognize dying cells and enhance efferocytosis, including Mfge8 that binds to lipids and calreticulin that binds to asialoglycoproteins on target dying cells and tags them for recognition by C1q and Lrp1 [4–7].
Live cells, on the other hand, are generally protected from being phagocytosed by “don’t eat me” signals. CD47/SIRPα is the best-characterized pair in which CD47, expressed by healthy cells, binds to the ITIM-domain containing receptor SIRPα on macrophages to prevent phagocytosis [8–10]. Several other negative regulators of phagocytosis have been discovered, including LILBR1/MHC class I and Siglec10/CD24 for human cells [11, 12]. Loss of CD47, particularly on aged erythrocytes, precedes their clearance from circulation by red pulp macrophages in the spleen. CD47 expression is heterogeneous on epithelial cells and is upregulated on cancer cells, suggesting that prevention of phagocytosis may be a means of evading macrophage-mediated immune surveillance.
Regulation of phagocytosis of microbes is relatively well-understood. MBL, Dectin-1, and C1q all trigger particle engulfment. IgG antibodies bound to the surface of target cells can engage activating Fc receptors on macrophages and strongly induce phagocytosis [13, 14]. Pharmacologic antibodies against tumor cell surface antigens are effective therapeutics, and opsonization of cancer cells for engulfment by macrophages is likely part of the mechanism of action of these drugs. Complement deposition on target cells binds to CR3 (CD11b/CD18) on macrophages and induces phagocytosis via Syk and rearrangement of the actin cytoskeleton [15]. Most healthy cells express complement decay factors, but complement deposition on neurons and trogocytosis by macrophages are also critical for synaptic pruning during development of the CNS [16].
Endogenous positive regulators of cancer cell phagocytosis are still largely unknown. This process happens more slowly than FcR-mediated or scavenger receptor-mediated phagocytosis, and CRISPR screens looking for regulators of phagocytosis identified that the mechanisms of action of these pathways are distinct [17, 18]. Live cancer cells have higher levels of surface-exposed phosphatidylserine on their plasma membranes, even when not undergoing apoptosis, which may serve as a phagocytic target [3, 19]. Pro-phagocytic secreted calreticulin may also preferentially stick to the surface of tumor cells [4–6]. Understanding whether and how macrophages can phagocytose live cancer cells while sparing surrounding healthy tissue is important to understanding how we could manipulate these pathways for therapeutic benefit.
The cellular inhibitor of apoptosis proteins (cIAPs) regulate NF-κB signaling and can be antagonized pharmacologically by peptide mimetics of SMAC, the natural binding partner of the IAP family [20–23]. Several SMAC mimetics have been developed, including monovalent and bivalent engagers as well as newer non-peptide versions [24]. Although these agents were originally designed to amplify autocrine TNFa production and extrinsic apoptosis pathways in cancer cells, their efficacy in syngeneic mouse cancer models appears to be primarily through induction of anti-tumor immunity [25]. Degradation of cIAP1 by SMAC mimetics induces non-canonical NF-kB signaling and mimics co-stimulation through TNF receptor superfamily members such as GITR and 4-1BB to control cytokine output from activated T cells [26–32]. SMAC mimetics also act directly on myeloid cells. The monovalent SMAC mimetic LCL161 was reported to induce phagocytosis of multiple myeloma cells despite genetic loss of BIRC2 (the gene encoding cIAP1) from the cancer cells, thereby implicating macrophages as the cellular target of LCL161’s anti-cancer activity [33]. In mouse models of pancreatic cancer, we identified that macrophages can engulf live tumor cells upon activation by LCL161 along with T-cell-produced cytokines [32, 34]. In wild-type mice, but not mice incapable of antigen-specific T-cell responses, cIAP1/2 antagonism reduces tumor burden by increasing phagocytosis of live tumor cells. This efficacy could be augmented by combination with CD47 blockade, suggesting that LCL161 activates tumoricidal macrophages independently of CD47/SIRPα, potentially via activation of pro-phagocytic pathways [34].
Thus far, most of the experiments showing SMAC mimetic induction of live cell phagocytosis have been conducted using LCL161 in mice or in mouse bone marrow-derived macrophages [33–35]. Here, we used an in vitro phagocytosis assay to evaluate a panel of structurally divergent SMAC mimetic compounds in primary monocyte-derived macrophages from a range of healthy human donors. Phagocytosis could be induced by all SMAC mimetics tested and was enhanced by co-culturing with IFNg. The transcriptional signature of phagocytic macrophages was dominated by a subset of NF-kB target genes and sustained by autocrine TNFa production.
Materials and methods
Ethics statement
These studies were conducted in accordance with the Declaration of Helsinki and the Belmont Report. Anonymous healthy donor leukopacks were obtained from the Kraft Family Blood Donor Center at Dana-Farber Cancer Institute and Brigham and Women’s Hospital, protocol T0363.
Cell culture
MDA-MB-231, PANC-1, and 6694c2 cell lines were cultured in RPMI 1640 Medium (Thermo Fisher, Cat# 11875135) supplemented with 10% heat-inactivated fetal bovine serum, Penicillin-Streptomycin 100 U/mL (Thermo Fisher, Cat# 15140122), MEM Non-Essential Amino Acids Solution (Thermo Fisher, Cat #11140050), GlutaMAX Supplement (Thermo Fisher, Cat# 35050061) and Sodium pyruvate (100 mM) (Thermo Fisher, Cat# 11360070), i.e. RPMI complete. Cell lines were cultured at 37°C in a humidified incubator containing 5% carbon dioxide (CO2).
Mice
All animal protocols were approved by Dana-Farber Cancer Institute’s Institutional Animal Care and Use Committee (IACUC) (protocol #14-019) and are in compliance with the NIH/NCI ethical guidelines for tumor-bearing animals. TNF−/− (stock #005540) and C57BL/6 (stock #000664) mice were purchased from Jackson Laboratories.
Peripheral blood mononuclear cell (PBMC) isolation and macrophage differentiation
PBMCs were derived from healthy donor leukopacks using density gradient centrifugation with Ficoll-Paque PLUS Media (Fisher Scientific, Cat# 45001749) in SepMate™ PBMC Isolation Tubes (Stemcell Technologies, Cat# 85450). Prior to centrifugation the whole blood was diluted with an equal volume of PBS, pH 7.4 (Thermo Fisher, Cat# 10010049). Upon centrifugation, the buffy coat containing PBMCs was collected and red blood cell lysis was performed using ACK lysis buffer (Thermo Fisher, Cat# A1049201). Subsequently, PBMCs were resuspended in RPMI complete supplemented with 50 ng/ml recombinant human M-CSF (hM-CSF) (PeproTech, Cat# 300-25) and plated on 150 × 15 mm petri dishes (Fisher Scientific, Cat# 08-757-148) at a concentration of 1–2 million cells per mL as previously described [35]. In order for proper differentiation of PBMCs into macrophages, cells were fed on Days 2 and 4 of culture by adding the same volume of RPMI complete with 50 ng/mL of recombinant human M-CSF.
Bone-marrow isolation and mouse macrophage differentiation
Bone marrow-derived macrophages (BMDMs) were generated from the bone marrow of C57BL/6 mice. Briefly, femurs and tibiae were isolated, and the epiphyses were removed. Bone marrow cells were flushed out using a 27G needle (BD, Cat# 305109) and sterile PBS. The collected cells were passed through a 70 µm cell strainer, centrifuged at 300 × g for 5 min, and resuspended in RPMI complete supplemented with mouse macrophage colony-stimulating factor (20 ng/mL mM-CSF) (PeproTech, Cat# 305-02). Cells were plated on 150 × 15 mm petri dishes at a concentration of 0.5 million cells per ml and incubated at 37°C with 5% CO₂. The medium was refreshed every other day, and fully differentiated macrophages were used for experiments on Day 5/6.
Phagocytosis assay
We performed in vitro live cell phagocytosis assays as described [35]. Upon 5–6 days of differentiation, macrophages were collected from the petri dishes using 15 mL of 10% Trypsin-EDTA (0.25%), phenol red (Gibco, Cat# 25200056) in PBS. Subsequently, macrophages were again resuspended in 50 ng/mL M-CSF supplemented RPMI complete and reseeded into 12-well tissue culture-treated plates (Fisher Scientific, Cat# 07-200-82) by adding 1 mL into each well of the 12-well plates at 100,000 cells/mL. Macrophages were incubated at 37°C in a humidified incubator containing 5% CO2 and used for phagocytosis assessment at Days 7–12 of culture. Prior to the start of the phagocytosis assays, macrophages were pre-treated for 24 hours with various SMAC mimetics including ASTX-660 (MedChemExpress, Cat# HY-109565), Birinapant (MedChemExpress, Cat# HY-16591), CUDC-427 (MedChemExpress, Cat# HY-15835), GDC-0152 (MedChemExpress, Cat# HY-13638), LCL161 (MedChemExpress, Cat# HY-15518), and Xevinapant (MedChemExpress, Cat# HY-15454), or DMSO (Sigma–Aldrich, Cat# D5879) as a vehicle control. Additionally, recombinant human lymphotoxin α1/ β2 (rhLTα1/β2) (R&D Systems, Cat# 8884-LY) or recombinant human IFNγ (PeproTech Cat# 300-02) was added during pre-treatment and co-culture. In some cases, cultures were also treated with 1 mg/mL anti-TNFa (InvivoGen, adalimumab biosimilar #htnfa-mab4). The next day, tumor cells were collected and labelled with CellTrace Violet (CTV) (Fisher Scientific, Cat# C34557) according to the manufacturer’s instructions. Briefly, cells were incubated with 5 μM CTV for 20 minutes at 37°C, protected from light. After incubation, the cells were washed three times with PBS to remove excess dye. Labelled tumor cells were then resuspended in human M-CSF supplemented RPMI complete at a concentration of 100,000 cells/mL. Subsequently, the treatment-containing media was aspirated from the macrophages, and tumor cells were added by pipetting 1 mL of the tumor cell suspension in each well., i.e. macrophage-to-tumor cell ratio of 1:1. Pre-treated macrophages were cocultured with tumor cells in a humidified incubator containing 5% CO2 for 18 hours. To collect both non-adherent and adherent cells, the supernatant from each well was first collected. Secondly, adherent cells were trypsinized and collected from each well. Both non-adherent and adherent cell fractions were combined in corresponding flow cytometry tubes containing HBSS, calcium, and magnesium (Thermo Fisher, Cat# 14025126). Finally, flow cytometry tubes were centrifuged, and cell pellets were stained for flow cytometric phagocytic assessment.
Flow cytometry
Each sample was stained in 100 mL FACS buffer, constituted of PBS, heat-inactivated fetal bovine serum 2% EDTA (Fisher Scientific, Cat# 15575020) 2 mM, and 1:100 dilution of PE/Dazzle™ 594 anti-human CD45 Antibody (Biolegend, Cat# 304052), PE-CF594 anti-human CD45 Antibody (BD Horizon, Cat# 562279), or BV711 anti-mouse CD45 Antibody (Biolegend, Cat# 103147). Samples were stained for 20 minutes at 4°C. Following staining, 200 μL of 1% formalin (Millipore Sigma, Cat# HT501128) was added to the tubes to fix the samples. Tubes were stored at 4°C and protected from light until time of analysis on a SP6800 Spectral Analyzer (Sony).
Immunoblotting
Differentiated macrophages were reseeded in 6-well tissue culture-treated plates (Corning, Cat# 3516) at a density of 500,000 cells per well. The next day, cells were treated with 500 nM SMAC-mimetics or DMSO as a vehicle control for 24 hours. The media was then aspirated, and cells were washed twice with PBS. To obtain protein lysates, 50 μL of RIPA buffer (Abcam, Cat# ab156034) supplemented with cOmplete™, Mini, EDTA-free Protease Inhibitor Cocktail (Roche, Cat# 11836170001) and Phosphatase Inhibitor Cocktail (Cell Signaling Technology, Cat# 5870) was added to each well and plates were incubated on ice for 30 minutes. Lysates were collected using cell scrapers (Corning, Cat# 3011), centrifuged at 13,000 rpm for 30 minutes at 4°C, and the supernatants were stored at—80°C until further analysis. Protein concentration of the lysates was determined using the Micro BCA™ Protein Assay Kit (Thermo Scientific, Cat# 23235). For sample preparation, 30 μg of protein was subsequently boiled for 5 minutes in reducing Laemmli SDS sample buffer (Thermo Scientific, Cat# J61337-AD), followed by rapid cooling on ice. Samples were then loaded onto 4-20% Tris-Glycine gels (BioRad, Cat# 4561094) and ran at 80-120V for SDS-PAGE electrophoresis. Following separation, proteins were transferred to a PVDF membrane (BioRad, Cat# 1620175) using the mixed MW program on a Trans-Blot Turbo Transfer System (BioRad, Cat# 1704150) for immunoblotting. Membranes were blocked with 5% BSA (Sigma-Aldrich, Cat# A7030) in 0.1% Tween-20 TBS (TBST) prior to overnight incubation at 4°C with primary antibodies. The primary antibodies used were c-IAP1 (D5G9) Rabbit mAb (Cell Signaling Technology, Cat# 7065S) and XIAP Rabbit Ab (Cell Signaling Technology, Cat# 2042S), each diluted 1:1000 in 3% BSA TBS-T. Following primary antibody incubation, membranes were washed three times with TBS-T and incubated with Anti-rabbit IgG, HRP-linked Antibody (Cell Signaling Technology, Cat# 7074) diluted 1:5000 in TBS-T. After three additional washes with TBS-T, protein bands were visualized using Western Lightning ECL Pro detection agent (Revvity, Cat# NEL120001EA) and capturing chemiluminescence on a ChemiDoc™ Imaging System (BioRad, Cat# 12003153).
Transcriptomics
PBMCs were isolated from eight individual donors and differentiated into macrophages. For each donor, macrophages were treated for 24 hours with either DMSO, rhLTα1/β2, IFNγ, LCL161 (500 nM), LCL161 + rhLTα1/β2, or LCL161 + IFNγ. After treatment, macrophages were harvested, and total RNA was extracted using the RNeasy Mini Kit according to the manufacturer’s protocol (Qiagen, Cat# 74104). Additionally, phagocytosis assays were performed on treated macrophages from all donors to ensure treatment response.
Proteomics
Human macrophages were cultured under standard conditions and treated for 6 hours with our series of SMAC-mimetics at a concentration of 500nM or with DMSO as a vehicle control. Pomalidomide treatment was included as a control targeting the unrelated E3 ligase cereblon. Following treatment, macrophages were harvested and pelleted. Cell pellets were subjected to global quantitative proteomic analysis [36–39]. TNFa was measured by ELISA according to the manufacturer’s protocols (Biolegend, catalogue # 430201).
Data analysis
Flow cytometry data were analyzed using FlowJo v10.8.1 (BD Biosciences) and further processed in Prism v9.3.0 (GraphPad Software). Statistical analyses for all assays were performed using ordinary one-way ANOVA with Sidak’s multiple comparisons test. Additionally, for the cytokine synergy experiment, Dunnett’s multiple comparison test was applied. Protein band intensities from western blot images were quantified using ImageJ, while RNA-seq and proteomics data were processed and analyzed in RStudio. Reads were aligned using STAR alignment to the mm10 genome. Transcript-level estimates were collapsed to gene-level estimates using the R package tximport and Ensembl transcript annotations (v79). Genes with less than 10 reads across all samples were discarded, and the remaining genes were analyzed for differential expression using the package DESeq2.
Data availability
Bulk transcriptional profiling is available at the NIH Gene Expression Omnibus repository under accession number GSE282835.
Results
SMAC mimetics induce phagocytosis of live tumor cells by human macrophages
IAP antagonists like SMAC-mimetics were originally developed as cancer therapeutics sensitizing tumor cells to TNFα-mediated apoptosis. We used a panel of monovalent (LCL161, CUDC-427, GDC-0152, xevinapant), bivalent (birinapant), and non-peptidomimetic (ASTX-660) SMAC mimetics that have advanced to clinical testing in humans [40–46]. To determine whether these agents induce live cancer cell phagocytosis, we cultured monocyte-derived macrophages from healthy donors with 500 nM of each SMAC mimetic for 24 hours prior to addition of fluorescently labeled MDA-MB-231 breast cancer cells. Phagocytosis was measured by flow cytometry after 18 hours of coculture as the percentage of macrophages staining positively for the tumor cell fluorophore (Fig. 1A and Supplementary Fig. 1). This time point was selected based on prior video microscopy and immunofluorescence studies that showed that live cell phagocytosis peaks at 18 hours. Engulfed tumor cell fluorescent signal ranged from bright to dim, consistent with macrophages digesting fluorescent cargoes in their phagolysosomes. We tested phagocytosis induction by our SMAC mimetic panel across eight different healthy donors. Notably, responsiveness to SMAC-mimetic treatment varied among donors, but comparison to vehicle-treated macrophages for eight donors showed a significant increase in phagocytosis for all SMAC mimetics (Fig. 1B).
Figure 1.
SMAC-mimetics induce phagocytosis in human macrophages. (A) Representative flow cytometry plots from a single donor showing the CTV⁺CD45⁺ phagocytosis population within the total CD45⁺ macrophage population. (B) Macrophages from n=8 healthy donors were treated with the 500 nM of the indicated SMAC mimetics for 24 hours prior to co-culture with CellTrace Violet labeled MDA-MB-231 breast cancer cells. Phagocytosis was assessed by flow cytometry after 18 hours of co-culture. Results from each donor were normalized to the vehicle control from that donor. Error bars are SD. Statistical significance was determined using a pairwise one-way ANOVA with Sidak’s multiple comparison. (C) Immunoblot analysis of macrophage lysates treated with SMAC-mimetics (500 nM) for 24 hours. Blots were probed for cIAP1, XIAP, and GAPDH. (D) The frequency of macrophages recovered after 18 hours co-culture with tumor cells under each of the indicated treatment conditions. (E) Macrophages from n = 5 healthy donors were treated with the indicated concentrations of LCL161 for 24 hours prior to co-culture with CellTrace Violet labeled MDA-MB-231 breast cancer cells. Phagocytosis was assessed by flow cytometry after 18 hours of co-culture. Results from each donor were normalized to the vehicle control from that donor. Error bars are SD. Statistical significance was determined using an ordinary one-way ANOVA. (F) Immunoblot of protein lysates from macrophages treated for 24 hours with the indicated concentrations of LCL161.
SMAC mimetics induce hyperactivation of the E3 ligase domain of cIAP1 and rapid auto-ubiquitination leading to degradation and stable loss of cIAP1 in treated cells [47]. To confirm on-target activity of the SMAC mimetics at 500 nM, we treated macrophages for 24 hours and analyzed cIAP1 and XIAP by immunoblot of protein lysates. Although cIAP1 protein was downregulated by all SMAC mimetics, XIAP was minimally affected (Fig. 1C), consistent with prior reports showing that XIAP is more resistant to degradation by SMAC mimetics [48]. SMAC mimetic treatment decreased viability of human macrophages, with approximately half as many macrophages recovered from SMAC mimetic treated co-cultures compared to DMSO controls (Fig. 1D). Loss of macrophage viability is consistent with previous reports [49].
Dose-dependent induction of phagocytosis in response to SMAC-mimetic treatment
To increase confidence that the enhanced phagocytic activity observed is a target-specific effect of SMAC mimetics and to identify the optimal concentration for maximal biological effect, we conducted a titration experiment in which human macrophages were treated for 18 hours with increasing concentrations of LCL161 and co-cultured with fluorescently labeled MDA-MB-231 tumor cells. Flow cytometry analysis revealed a dose-dependent increase in the percentage of phagocytosis+ macrophages, with the highest fold change in phagocytic activity at 500nM (Fig. 1E). Consistent with these results, cIAP1 degradation rates increased with increasing concentration of LCL161, resulting in nearly undetectable levels of protein by immunoblot in lysates of macrophages treated with 500 nM LCL161. More modest reductions were observed for XIAP1 (Fig. 1F).
IFNγ enhances phagocytic of SMAC-mimetic treated macrophages
Building on our previous findings, which identified lymphotoxin as a critical cytokine for enhancing phagocytosis in cIAP1/2 antagonism therapy in murine models [34], we sought to explore whether T-cell-produced cytokines enhanced human macrophage phagocytosis. We investigated the impact of lymphotoxin and IFNγ on macrophage-mediated phagocytosis using two different tumor cell lines: the breast cancer cell line MDA-MB-231 and the pancreatic cancer cell line PANC-1.
Our results indicate that IFNγ, rather than lymphotoxin, significantly enhances the phagocytic capacity of human macrophages, as shown in representative flow cytometry plots (Fig. 2A). Notably, IFNγ treatment alone could modestly induce phagocytosis. In contrast to our previous observations in murine systems [34], lymphotoxin neither independently promoted phagocytosis nor enhanced the effects of LCL161 treatment. Importantly, the combination of LCL161 and IFNγ produced the most pronounced increase in phagocytic activity, as seen across multiple independent healthy donors and across two different cancer types (Fig. 2B-C).
Figure 2.
Phagocytic capacity of SMAC-mimetic treated macrophages is augmented by IFNγ. (A) Representative flow plots of human macrophages treated with LCL161 ± LTα1/β2 or IFNγ cocultured with CTV-labelled MDA-MB-231 tumor cells. Phagocytosis is shown as percentage of CTV+CD45+ macrophages within the total CD45+ population. (B) Quantified and analyzed flow data from healthy donor macrophages (n=7 individual donors) co-cultured with MDA-MB-231 tumor cells. Error bars are SD. Statistical analysis was performed using an ordinary one-way ANOVA with Dunnett’s multiple comparison test. (C) Macrophages from n = 3 healthy donors were treated as in B and co-cultured with PANC-1 tumor cells. Error bars are SD. Statistical analysis was performed using an ordinary one-way ANOVA with Dunnett’s multiple comparison test.
Short-term proteomic effects are conserved across SMAC mimetics
SMAC mimetics activate the E3 ligase domain of cIAP1, thereby inducing rapid changes in protein abundance. We profiled human macrophages treated with our panel of SMAC mimetics for 6 hours to measure these short-term changes. As expected, protein levels of cIAP1 (BIRC2) decreased in all samples (Fig. 3). Other proteins associated with the TNFR1/2 signaling complexes were not affected, suggesting that changes induced by altered NF-kB signaling require longer than 6 hours to occur, consistent with an 18-hour delay in acquisition of the phagocytosis phenotype. In addition to cIAP1/BIRC2, short-term protein level decreases were observed for several secreted factors associated with macrophage activation, including complement proteins, the neutrophil recruiting chemokine CXCL1, IL-1b, and ACOD1, the enzyme responsible for itaconate production. COX-2/PTGS2, was also decreased, suggesting a decrease in prostaglandins.
Figure 3.
Short-term proteomic changes induced by SMAC mimetics. Healthy donor macrophages were treated for 6 hours with 500nM of the indicated SMAC mimetics, DMSO vehicle control, or pomalidomide, which targets the unrelated E3 ligase cereblon. Proteomic analysis was performed on n=4 technical replicates of DMSO and n=3 technical replicates of the drug SMAC mimetic and reported as fold change compared to the DMSO control. Differentially expressed proteins were defined as having an absolute value of the average log2 fold change of the SMAC mimetics >0.5 and an absolute value of the average log2 fold change of pomalidomide <0.25.
Transcriptional signature of phagocytosis is robustly conserved across human donors
Phagocytosis induction by SMAC mimetics requires at least 18 hours of culture, suggesting that transcriptional reprogramming underlies the phenotype. To define a transcriptional signature of phagocytosis, we cultured macrophages from 8 different healthy donors with vehicle, LCL161, IFNg, or combination of LCL161 and IFNg. RNA was collected at 24 hours and analyzed by bulk transcriptional profiling. Principle component analysis revealed a clear separation between the two groups of samples treated with IFNg versus those without, consistent with macrophages responding strongly to this cytokine (Fig. 4A). Most scavenger receptors were not significantly different, although MRC1 (CD206) was decreased with IFNγ treatment, consistent with this gene being a hallmark of alternatively activated macrophages. The effect of LCL161 was more subtle, but comparison of samples from each donor shows an LCL-induced increase along the PCA2 axis (Fig. 4A). Differential gene expression analysis for each treatment condition compared to vehicle control similarly shows that LCL161 alone induces a small number of NF-kB pathway genes (MAP3K14, TRAF1, NFKB2, NFKBIE), whereas treatment with IFNg or LCL161/IFNg induces a robust IFN response (JAK2, CXCL9, CXCL10) (Fig. 4B).
Figure 4.
Phagocytosis is associated with a distinct transcriptional signature. (A) Healthy donor macrophages from n = 8 donors were treated for 24 hours with DMSO vehicle or 500nM LCL161 ±50 ng/mL IFNg. RNA was prepared and analyzed by bulk RNAseq and principle component analysis. Individual donors are labeled with unique numbers. (B) Differentially expressed genes for each of the treatment conditions compared to vehicle control. Genes with a base mean expression <50 were excluded. (C) Heatmap of the top 24 most differentially expressed genes with a base mean expression >200 comparing LCL161/IFNg versus IFNg conditions. Base mean expression and adjusted P values are shown. (D) Venn diagram showing the overlap of significantly differentially expressed genes from B for each group versus vehicle controls. (E) Gene set enrichment analysis for Hallmark pathways for the 1620 genes from D that were uniquely regulated in the LCL161/IFNg treatment group.
To deconvolute the genes uniquely characterizing the phagocytic cell state, we compared the combination treatment to IFNg monotherapy. The 24 top differentially expressed genes are shown in Fig. 4C, with members of the TNFa signaling via NF-kB Hallmark gene set listed in bold. Among this list are several upregulated genes of interest that affect macrophage cell state, including CD83, a marker of activated phagocytes, and the co-stimulatory receptor 4-1BB (TNFRSF9).
NIK (MAP3K14) is not formally part of the TNFa Hallmark gene set, despite being the central regulator of the alternative NF-kB pathway [47]. NIK is constitutively low in cells due to ubiquitination by cIAP1/2, and treatment with SMAC mimetics to degrade cIAP1 allows NIK to accumulate. NIK was not detected in our short-term proteomics analysis, which combined with the increased transcript levels, indicates that new transcription is required to restore NIK levels after degradation of cIAP1 in macrophages.
IFNg alone induces modest phagocytosis in some donors; therefore, we reanalyzed the overlap of differentially expressed genes from each treated condition compared to the vehicle. This method allows for genes modestly induced by IFNg but more strongly induced by the combination therapy to be counted as unique to the combination treatment (Fig. 4D). Gene set enrichment analysis of the resulting 1620 genes induced by combination treatment shows upregulation of NF-kB signaling, IFN response genes, and MYC targets as the dominant upregulated pathways (Fig. 4E).
TNFa serves as an autocrine positive feedback loop
Treatment with LCL161 leads to autocrine production of TNFa by cancer cells and by T cells [25, 31]; therefore, we reasoned that part of the strong induction of NF-kB regulated transcripts in LCL161/IFNg-treated macrophages might be due to TNFa signaling. To test this, we cultured macrophages with LCL161 and/or IFNg in the presence of isotype control or TNFa blocking antibody. Secreted TNFa was highest in the combination treated group although overall levels only reached 10 pg/mL. (Fig. 5A). Despite this low level of TNFa accumulation in the media, antibody blockade of TNFa starting during the pretreatment period with LCL-161 prevented induction of phagocytosis (Fig. 5B-E). Across six different healthy donors, the degree of phagocytosis induction was reduced by TNFa blockade but not by isotype control antibodies, suggesting that secreted TNFa contributes to a positive feedback loop to sustain the phagocytic macrophage phenotype. Genetic loss of TNFa using mouse macrophages derived from wild type or TNF-/- bone marrow showed a complete ablation of LCL-161 induced phagocytosis, confirming a requirement for TNFa in the phagocytosis phenotype (Fig. 5E).
Figure 5.
Autocrine TNFa sustains the phagocytosis phenotype. (A) Healthy donor macrophages were treated with 500 nM LCL161 and 50 ng/mL IFNg or vehicle control. TNFa was measured by ELISA of 24 hour culture supernatants and reported as absorbance values. Error bars are SD. (B) Healthy donor macrophages from n = 3 independent donors were treated with DMSO, LCL161, or LCL161+IFNg for 18 hours of co-culture with CellTrace Violet labeled PANC-1 pancreatic cancer cells with or without TNFa blocking antibodies (1 mg/mL). Phagocytosis was assessed by flow cytometry after 24 hours of co-culture. Error bars are SD. Statistical significance was determined using a pairwise one-way ANOVA with Sidak’s multiple comparisons assuming sphericity. (C) Graphical overview of the follow-up experiment in which the antibody was added both during pre-treatment with DMSO, LCL161, or LCL161+IFNg for 24 hours, and during co-culture with CellTrace Violet labeled PANC-1 cells for 18 hours. Phagocytosis was again assessed by flow cytometry. (D) Phagocytic index of macrophages from n = 6 independent healthy donors. For each donor, data were normalized to vehicle + isotype. The Wilcoxon matched-pairs signed rank test was used to determine statistical significance. (E) Bone marrow-derived macrophages from a WT- and TNFa KO mouse were pre-treated with DMSO, LCL161, or LCL161+IFNg for 24 hours. Macrophages were co-cultured with 6694c2 mouse pancreatic cancer cells for an additional 18 hours. Flow cytometry was used to measure phagocytosis. Error bars are SD. Statistical significance was determined using a two-way ANOVA with Sidak’s multiple comparisons test.
Discussion
Macrophages can engulf and kill live tumor cells by phagocytosis, as shown by several groups, including ours [10, 17, 34, 50]. We confirm and extend this finding, showing that phagocytosis is robustly induced across a range of human donors and using a range of pharmacologically distinct SMAC mimetics. Phagocytosis is further enhanced by IFNg, a cytokine well known for its pleiotropic anti-tumor functions. These results are important to define and establish that human macrophages can be induced to phagocytosis live cancer cells. The phagocytosis phenotype involves distinct transcriptional changes and is sustained by autocrine TNFa. We observed that macrophages pre-treated with SMAC mimetics were sufficient to phagocytose unexposed cancer cells, suggesting that changes in the macrophage are more important than effects of SMAC mimetics on cancer cells. However, we cannot exclude the possibility that phagocytic macrophages secrete factors that sensitize cancer cells to engulfment. This molecular crosstalk between macrophages and cancer cells is worth further study.
Macrophages are highly plastic and can adopt multiple phenotypes based on their tissue microenvironment or cytokine milieu. Here we find that unpolarized M0 macrophages exposed to SMAC mimetics are capable of phagocytosing cancer cells, although treatment with the M1 polarizing cytokine IFNg augments the magnitude of this effect. Similar findings have been observed with CD47 blockade, where the underlying polarization state of the macrophage influences how efficiently cancer cells are engulfed [51–54].
Live cell phagocytosis has been challenging to demonstrate in vivo in either mice or humans. Macrophages are highly efficient phagocytes and will engulf fluorescently labeled tumor apoptotic bodies and other debris. Demonstrating that a tumor cell in vivo was alive at the time of engulfment by tumor-infiltrating macrophages is difficult with current technical capabilities, although ongoing efforts to use fluorescent reporters that are pH sensitive and activatable by caspase cleavage may be able to distinguish phagocytosis of live versus apoptotic cells in preclinical models [55]. In the context of a human clinical trial, such fluorescent reporter systems are not possible. Functional ex vivo assays can be performed using peripheral blood monocyte-derived macrophages [35], although such assays do not determine whether phagocytosis is happening in the tumor itself. We therefore have heavily relied on single-cell transcriptional profiling to identify phagocytic macrophages, which can be loosely defined as single cells that co-express macrophage markers and markers consistent with another cell type, such as a lymphocyte [34]. This approach has several limitations, most notably the concern that such cells are doublets and the concern that apoptotic tumor cells may still contain RNA that can be amplified and sequenced. We are therefore highly interested in identifying a transcriptional signature of phagocytic macrophages that is not reliant on having already engulfed a live target cell. To this end, we propose a 24-gene phagocytosis signature that can be applied to single-cell data sets from human cancers, although the extent to which the presence of phagocytosis-signature positive cells correlates with outcomes remains to be tested.
Therapies aimed at reprogramming macrophages have not yet demonstrated clinical success as single agents. This includes antibodies to CD47 or SIRPa, which routinely performed exceedingly well in xenograft mouse models of human cancer where the only source of human CD47 was on tumor cells and the cross-species affinity between mouse SIRPa and human CD47 is higher than the cognate interactions in either mice or humans [56]. One lesson to be learned from the CD47 experience is that testing therapies in multiple kinds of models, including syngeneic mice and fully human ex vivo cultures, is important. Nevertheless, the discovery of CD47 as a don’t eat me signal has paved the way for other therapies aimed at inducing macrophage phagocytosis as a means of reprogramming this abundant component of the tumor microenvironment [50]. SMAC mimetics are one approach, although these agents can decrease macrophage viability as human macrophages appear sensitive to TNFa-induced cell death. Other options include agonistic anti-CD40, which both activates macrophages to become tumoricidal and increases T cell activation through upregulation of costimulatory ligands on dendritic cells [57]. We propose that combination strategies aimed at inducing both antigen-specific T cells, which provide a critical source of IFNg, and the induction of phagocytic macrophages may be optimal for sustained tumor control.
Supplementary Material
Acknowledgements
The Editor-in-Chief, Tim Elliott, and handling editor, Jeanette Leusen, would like to thank Alsya Affandi and an anonymous reviewer, for their contribution to the publication of this article.
Contributor Information
Samantha Y Liu, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US.
Max P M Hulsman, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US.
Philipp Leyendecker, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US.
Eugena Chang, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US.
Katherine A Donovan, Dana-Farber Cancer Institute, Department of Cancer Biology, Boston, Massachusetts, US; Harvard Medical School, Department of Biological Chemistry and Molecular Pharmacology, Boston, Massachusetts, US.
Fabian Strobel, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US.
James Dougan, Brookline High School, Boston, Massachusetts, US.
Eric S Fischer, Dana-Farber Cancer Institute, Department of Cancer Biology, Boston, Massachusetts, US.
Michael Dougan, Massachussets General Hospital, Department of Medicine, Division of Gastroenterology, Boston, Massachusetts, US; Harvard Medical School, Department of Immunology, Boston, Massachusetts, US.
Stephanie K Dougan, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US; Harvard Medical School, Department of Immunology, Boston, Massachusetts, US.
Li Qiang, Dana-Farber Cancer Institute, Department of Cancer Immunology and Virology, Boston, Massachusetts, US; Harvard Medical School, Department of Immunology, Boston, Massachusetts, US.
Author contributions
Samantha Liu (Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing - original draft), Max Hulsman (Conceptualization, Data curation, Formal analysis, Investigation, Validation, Visualization, Writing - original draft), Philipp Leyendecker (Data curation, Formal analysis, Investigation, Validation), Eugena Chang (Data curation, Investigation, Validation), Katherine Donovan (Data curation, Formal analysis, Validation), Fabian Strobel (Investigation, Validation), James Dougan (Investigation, Validation), Eric Fisher (Supervision), Michael Dougan (Supervision), Stephanie Dougan (Conceptualization, Funding acquisition, Supervision, Writing - original draft, Writing - review & editing), and Li Qiang (Conceptualization, Data curation, Funding acquisition, Investigation, Supervision, Visualization, Writing - review & editing)
Conflicts of interest
SKD received research funding unrelated to this project from Novartis, Bristol-Myers Squibb, Takeda, and is a founder, science advisory board member and equity holder in Kojin and has equity in Axxis Bio. SKD is a Deputy Editor of Immunotherapy Advances and therefore was blinded from reviewing or making decisions on the manuscript. MD has research funding from Eli Lilly; he has received consulting fees from Genentech, ORIC Pharmaceuticals, Partner Therapeutics, SQZ Biotech, AzurRx, Eli Lilly, Mallinckrodt Pharmaceuticals, Aditum, Foghorn Therapeutics, Palleon, and Moderna; and he is a member of the Scientific Advisory Board for Neoleukin Therapeutics, Veravas and Cerberus Therapeutics and has equity in Axxis Bio. KAD receives or has received consulting fees from Neomorph and Kronos Bio. E.S.F. is a founder, scientific advisory board (SAB) member, and equity holder of Civetta Therapeutics, Proximity Therapeutics, Stelexis Biosciences, and Neomorph, Inc. (also board of directors). He is an equity holder and SAB member for Avilar Therapeutics, Photys Therapeutics, and Ajax Therapeutics and an equity holder in Lighthorse Therapeutics, CPD4 and Anvia Therapeutics. E.S.F. is a consultant to Novartis, EcoR1 capital, Odyssey and Deerfield. The Fischer lab receives or has received research funding from Deerfield, Novartis, Ajax, Interline, Bayer and Astellas. The remaining authors declare no competing interests.
Funding
SKD was funded by the Ludwig Center at Harvard Medical School, the Hale Family Center for Pancreatic Cancer Research at Dana-Farber, NIH R01AI158488, U01CA274276, and is a Member of the Parker Institute for Cancer Immunotherapy. SKD and MD were funded by R01AI169188. LQ was funded by the Claudia Adams Barr Foundation. ESF was funded by NCI R01CA262188.
Data availability
Bulk transcriptional profiling is available at the NIH Gene Expression Omnibus repository under accession number GSE282835.
Ethical approval
All animal protocols were approved by Dana-Farber Cancer Institute’s Institutional Animal Care and Use Committee (IACUC) (protocol #14-019) and are in compliance with the NIH/NCI ethical guidelines for tumor-bearing animals. TNF-/- (stock #005540) and C57BL/6 (stock #000664) mice were purchased from Jackson Laboratories.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Bulk transcriptional profiling is available at the NIH Gene Expression Omnibus repository under accession number GSE282835.
Bulk transcriptional profiling is available at the NIH Gene Expression Omnibus repository under accession number GSE282835.






