ACKR2 in hematopoietic precursors as a checkpoint of neutrophil release and anti-metastatic activity

Massara, Matteo; Bonavita, Ornella; Savino, Benedetta; Caronni, Nicoletta; Mollica Poeta, Valeria; Sironi, Marina; Setten, Elisa; Recordati, Camilla; Crisafulli, Laura; Ficara, Francesca; Mantovani, Alberto; Locati, Massimo; Bonecchi, Raffaella

doi:10.1038/s41467-018-03080-8

Download PDF

Article
Open access
Published: 14 February 2018

ACKR2 in hematopoietic precursors as a checkpoint of neutrophil release and anti-metastatic activity

Nature Communications volume 9, Article number: 676 (2018) Cite this article

5144 Accesses
62 Citations
5 Altmetric
Metrics details

Subjects

Abstract

Atypical chemokine receptors (ACKRs) are regulators of leukocyte traffic, inflammation, and immunity. ACKR2 is a scavenger for most inflammatory CC chemokines and is a negative regulator of inflammation. Here we report that ACKR2 is expressed in hematopoietic precursors and downregulated during myeloid differentiation. Genetic inactivation of ACKR2 results in increased levels of inflammatory chemokine receptors and release from the bone marrow of neutrophils with increased anti-metastatic activity. In a model of NeuT-driven primary mammary carcinogenesis ACKR2 deficiency is associated with increased primary tumor growth and protection against metastasis. ACKR2 deficiency results in neutrophil-mediated protection against metastasis in mice orthotopically transplanted with 4T1 mammary carcinoma and intravenously injected with B16F10 melanoma cell lines. Thus, ACKR2 is a key regulator (checkpoint) of mouse myeloid differentiation and function and its targeting unleashes the anti-metastatic activity of neutrophils in mice.

Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis

Article 31 July 2019

CXCR2 expression on granulocyte and macrophage progenitors under tumor conditions contributes to mo-MDSC generation via SAP18/ERK/STAT3

Article Open access 08 August 2019

Dual roles of neutrophils in metastatic colonization are governed by the host NK cell status

Article Open access 01 September 2020

Introduction

Chemokines are key components of tumor microenviroment^1,2. Production of chemokines sustains unresolving chronic inflammation, which promotes carcinogenesis. Moreover, oncogene activation drives chemokine production and leukocyte recruitment in tumors epidemiologically unrelated to inflammatory conditions³.

The repertoire of chemokines produced in the context of neoplastic tissues shapes the leukocyte infiltrate^1,2. For instance, CCL2 and CXCL8, and related CC and CXC chemokines, are major determinants of macrophage and neutrophil recruitment, respectively. CCL17 and CCL22 have been associated with recruitment of Th2 and regulatory T (Treg) cells, which tame effective antitumor immunity. Conversely, CXCL10 driven recruitment of CD8 T cells and Th1 cells is a driver of antitumor resistance^1,2,4.

Chemokine and chemokine receptors are important determinants of invasion and metastasis⁵. For instance, the chemokine repertoire expressed by tumor cells impacts on secondary seeding at distant sites such as the brain or lymph nodes⁶. Moreover inflammatory chemokines precondition the metastatic niche and drive tumor cell seeding at sites of secondary localization⁷.

Canonical chemokine receptors are seven transmembrane G protein-coupled receptors. Mature leukocyte subsets express distinct repertoires of signaling chemokine receptors⁸. Moreover, the chemokine system includes a limited set (four) of atypical chemokine receptors (ACKRs). ACKRs bind a broad panel of inflammatory (ACKR1 and ACKR2) or homeostatic (ACKR3 and ACKR4) chemokines and regulate ligand availability by acting as decoys, scavengers, transporters, or depots^9,10,11.

ACKR2 (previously known as D6) acts as a decoy and scavenger for most inflammatory CC chemokines and is expressed by lymphatic endothelial cells, trophoblasts in the placenta, and some leukocytes such as innate B cells and alveolar macrophages¹¹. In line with its scavenger function, ACKR2 is a negative regulator of inflammation at different anatomical sites¹¹. Inflammation is a key component of the tumor microenvironment¹². Accordingly, genetic inactivation of ACKR2 unleashes tumor-promoting inflammation in the skin and gastrointestinal (GI) tract^13,14,15. Moreover, downregulation of ACKR2 in transformed cells has been associated with tumor progression and oncogene activation in Kaposi sarcoma^16,17,18.

The present study stems from an unexpected observation. In line with previous carcinogenesis results^13,14, in an oncogene-driven mammary carcinoma model we found that ACKR2-deficient mice show enhanced tumor growth at the primary tumor site. In contrast, ACKR2 gene-targeted mice are protected against metastasis. This unexpected finding, extended to transplanted tumors, prompted a dissection of underlying mechanisms. We found that ACKR2 is expressed in hematopoietic progenitor cells (HPCs) and that it serves as a key regulator (checkpoint) of myeloid differentiation and function. Targeting ACKR2 unleashes the anti-metastatic potential of neutrophils.

Results

Ackr2 ^−/− mice are protected against tumor metastasis

In order to extend previous studies on ACKR2 in carcinogenesis, we crossed Balb/c Ackr2^−/− mice with Balb/c NeuT mice, which overexpress the rat Her2/neu oncogene under the mouse mammary tumor virus promoter and spontaneously develop mammary carcinomas closely recapitulating human breast carcinogenesis¹⁹. We followed primary tumor development measuring time of appearance and volume, and found that in NeuT/Ackr2^−/− mice tumor masses in mammary glands developed earlier (Supplementary Fig. 1a) and reached higher volumes as compared to NeuT/Ackr2^+/+ mice (Fig. 1a). This result is in accordance with previous reports showing that ACKR2 genetic deficiency results in increased growth of primary tumors^13,14. Unexpectedly, lung analysis revealed less metastatic lesions in NeuT/Ackr2^−/− mice as compared to NeuT/Ackr2^+/+ mice (Fig. 1b, c).

In an effort to strengthen and extend these findings, the transplanted tumor lines 4T1 (mammary carcinoma) and B16F10 (melanoma) were used. 4T1 tumor cells were transplanted orthotopically, whereas B16F10 melanoma cells were injected intravenously (i.v.) in a classic “artificial” hematogenous metastasis model (see below).

When 4T1 cells were injected into the mammary glands of wild-type (WT) and Ackr2^−/− mice, no difference in primary tumor growth was detected (Fig. 1d), but again the number of spontaneous lung metastasis was significantly lower in Ackr2^−/− mice (Fig. 1e, f). Since 4T1 cells expressed little or no Ackr2, before and after in vivo growth (Supplementary Fig. 1B), these results suggested that the regulatory function of ACKR2 on metastasis is not cancer cell-intrinsic.

In order to understand which cells protect mice from metastasis, bone marrow (BM) chimeric mice were orthotopically injected with 4T1 cells. Mice were protected from metastasis only when Ackr2 was genetically inactivated in the hematopoietic compartment (Supplementary Fig. 1c), demonstrating that protection phenotype was due to hematopoietic expression of ACKR2.

Increased myeloid cell mobilization in Ackr2 ^−/− mice

The two breast cancer models used in our experiments are known to induce expansion and mobilization of myeloid cells, which then promote tumor growth^20,21. Interestingly, when animals were challenged with the 4T1 sibling cell line 66cl4, which in contrast is unable to induce myeloid cell expansion and is less metastatic^22,23, we did not find any difference in the number of metastatic lesions between WT and Ackr2^−/− mice (Fig. 1f). We therefore focused on effects of ACKR2 genetic inactivation on the myeloid compartment of tumor-bearing mice as a potential mechanism of protection from metastasis.

NeuT/Ackr2^+/+ mice, at 25 weeks of age, have an increased number of circulating Ly6C^high monocytes and Ly6G⁺ neutrophils (Fig. 2a, b, respectively; gating strategy in Supplementary Fig. 2a) compared with Balb/c WT mice^20,21. As we previously reported²⁴, Ackr2^−/− mice have increased number of circulating Ly6C^high monocytes (Fig. 2a), while no significant difference was found in the number of neutrophils (Fig. 2b) compared to WT mice. At 25 weeks of age, NeuT/Ackr2^−/− mice presented a further significant increase of blood monocytes and neutrophils (Fig. 2a, b) compared to Ackr2^−/− and NeuT/Ackr2^+/+, indicating that the lack of ACKR2 was a further driver of tumor-induced myelopoiesis and/or BM release of myeloid cells.

Increased number of inflammatory monocytes and neutrophils, but not alveolar or interstitial macrophages, were also detected in the lungs of NeuT/Ackr2^−/− as compared to NeuT/Ackr2^+/+ mice (Fig. 2c and Supplementary Fig. 2b for the gating strategy), while in basal conditions no difference was found between leukocyte infiltrate in the lung of WT and Ackr2^−/− mice (Supplementary Fig. 2c). A higher number of Ly6G⁺ neutrophils in the parenchyma of NeuT/Ackr2^−/− lungs compared to NeuT/Ackr2^+/+ mice was also found by immunohistochemistry, confirming the flow cytometry data (Fig. 2d, e). Similar results were obtained analyzing blood and lungs of WT and Ackr2^−/− mice orthotopically injected with 4T1 cells (Supplementary Fig. 2d,e, respectively). In these mice, analysis of myeloid cells in the BM 14 days after tumor injection showed a reduced number of monocytes and neutrophils in Ackr2^−/− compared to WT mice (Fig. 2f). These results indicate that in tumor conditions, Ackr2^−/− mice show enhanced release of myeloid cells from BM, which then accumulate in the blood and lungs.

Increased chemokine-induced mobilization in Ackr2 ^−/− mice

To investigate the role of ACKR2 in myeloid cells egress from the BM, we performed leukocyte mobilization experiments. As previously reported and as shown in Fig. 3a, under homeostatic conditions, ACKR2-deficient mice have increased frequency and absolute number of circulating Ly6C^high monocytes compared to WT and a concomitant decrease in the frequency of the same cells in the BM (Fig. 3c), whereas they showed similar number of circulating and BM neutrophils²⁴ (Fig. 3b, d). After injection of CCL3L1, an ACKR2 ligand known to induce rapid mobilization of both neutrophils and monocytes²⁵, Ackr2^−/− mice showed a significant higher number of circulating monocytes and neutrophils compared to WT littermates (Fig. 3a, b, respectively). Concomitantly, the decrease in monocytes and neutrophils in the BM caused by CCL3L1 injection was more pronounced in Ackr2^−/− animals (Fig. 3c, d, respectively).

BM chimera experiments showed that both WT and Ackr2^−/− hosts when transplanted with Ackr2^−/−, but not WT, hematopoietic cells had an increased number of circulating monocytes and neutrophils (Fig. 3e, f; Supplementary Fig. 3a,b) and higher number of monocytes and neutrophils infiltrating the lung (Supplementary Fig. 3c,d). These results demonstrated that the increased mobilization of monocytes and neutrophils induced by CCL3L1 injection was caused by the absence of ACKR2 in the hematopoietic compartment.

Finally, in order to understand whether there is a different localization of leukocytes in the BM sinusoids of ACKR2-deficient mice, we performed in vivo labeling experiments of monocytes with a 2-minute pulse of anti-Ly6C-PE antibody as previously described²⁶. In ACKR2-deficient BM sinusoids there was a significant higher percentage of monocytes located in this vascular compartment after chemokine-induced mobilization compared to WT controls (Supplementary Fig. 3e,f).

Neutrophils protect Ackr2 ^−/− mice from metastasis

To investigate the relevance of the increased myeloid cell mobilization found in Ackr2^−/− mice in the metastatic process, the B16F10 melanoma cell line was injected i.v. in a classic “artificial” hematogenous metastasis model. In this experimental setting, Ackr2^−/− mice showed increased number of circulating neutrophils while no differences were found in the number of circulating monocytes, and T and B lymphocytes compared to WT mice (Supplementary Fig. 4a). Also in this model, there was a significant reduction in the metastatic ratio in the lungs of ACKR2-deficient hosts compared to WT animals (Fig. 4a). In order to understand which cells were responsible for metastasis protection, we performed depletion experiments by using monoclonal antibodies. Monocyte depletion by treatment with an α-CD115 monoclonal antibody significantly decreased the number of metastasis in WT mice, but did not reverse the protection observed in Ackr2^−/− mice (Supplementary Fig. 4b). We then performed neutrophil depletion with an α-Ly6G monoclonal antibody. Neutrophil depletion caused a reduction in metastasis in WT mice while an increase in metastatic ratio was observed in Ackr2^−/− mice (Fig. 4b). The protective role of neutrophils in Ackr2^−/− mice was also demonstrated by performing depletion experiments with the ortotopically transplanted 4T1 tumor line. Also in this model, neutrophil depletion reduced the metastatic ratio in WT mice, while it increased metastasis in Ackr2^−/− hosts (Fig. 4c). Finally, since ACKR2 was reported to be expressed by B lymphocytes²⁷, we performed B lymphocyte depletion using an α-CD20 monoclonal antibody with no rescue of the metastasis phenotype associated with ACKR2 deficiency (Supplementary Fig. 4c).

The role of Ackr2^−/− neutrophils in protection against metastasis was further investigated by adoptive cell transfer experiment. Transfer of Ackr2^−/−, but not WT, neutrophils into WT tumor-bearing mice significantly reduced the metastatic ratio (Fig. 4d) to values comparable to those observed in Ackr2^−/− tumor-bearing mice.

Increased tumor-killing activity of Ackr2 ^−/− neutrophils

As depletion and adoptive transfer experiments clearly pointed to neutrophils as the key elements responsible for protection against metastasis observed in the absence of ACKR2, we evaluated their reactive oxygen species (ROS) production, one of the main mechanism of tumor cell-killing. Neutrophils from B16F10-bearing Ackr2^−/− animals produced significantly higher amounts of ROS compared to WT mice (Fig. 5a). Similar results were obtained analyzing neutrophils in 4T1-bearing WT and Ackr2^−/− mice (Supplementary Fig. 5a).

Ackr2^−/− neutrophils also showed a significant increase in transcript levels of the chemokine receptors Ccr1, Ccr2, and Ccr5, but not Cxcr4 (Fig. 5b), while expression levels of other genes associated with neutrophils activation, including Tnf-α, Alox5, Vegf-a, and Arg1, were not different between WT and Ackr2^−/− cells (Fig. 5c). Adoptive transfer experiments demonstrated that Ackr2^−/− neutrophils display increased recruitment to the lung compared to WT neutrophils with a concomitant reduction of their number in the blood (Fig. 5d, e, respectively).

Chemokines were reported to control not only neutrophil recruitment to metastatic sites but also their potential anti-metastatic functions such as ROS production²⁸. We therefore examined whether the increased levels of CC chemokine receptors found on Ackr2^−/− neutrophils could result in increased ROS production. Compared to WT cells, Ackr2^−/− neutrophils produced more ROS already under resting conditions and even more after stimulation with the CCR2 ligand CCL2 (Fig. 5f).

In order to assess the functional relevance of this observation, circulating neutrophils were isolated from tumor-bearing mice and evaluated for their ability to kill tumor cells in vitro. Neutrophils obtained from Ackr2^−/− mice displayed an increased tumor-killing activity (Fig. 5g) compared to cells isolated from WT mice. The killing activity of both WT and Ackr2^−/− neutrophils was partially reversed by the ROS inhibitor apocynin. Similar results were obtained with neutrophils isolated from resting WT and Ackr2^−/− mice (Supplementary Fig. 5b).

Collectively, these results suggest that neutrophil activation during tumor progression is constrained by ACKR2, which impinges on their expression of CC chemokine receptors and inhibits their migration to the lung and their ability to generate ROS, key mediators of neutrophil antitumoral potential^29,30.

Ackr2 is expressed by HPCs and controls myelopioesis

Results with BM chimeras demonstrated that ACKR2 expression by hematopoietic cells was responsible for the more pronounced neutrophil mobilization (Fig. 3e, f) and for protection against metastasis found in Ackr2^−/− mice (Supplementary Fig. 1c). As Ackr2 mRNA expression was very low in neutrophils (Fig. 6b), we traced its expression on sorted myeloid lineage hematopoietic precursors (gating strategy Supplementary Fig. 6a). Ackr2 transcript level was highest in Lin^neg/Sca-1⁺/cKit⁺ (LSK) cells, and was then downregulated in the more mature common myeloid progenitors (CMPs; Lin^neg/Sca-1⁻/cKit⁺/CD34⁺/FcγRII/III^int) and granulocytes-monocytes progenitors (GMPs; Lin^neg/Sca-1⁻/cKit⁺/CD34⁺/FcγRII/III^high) (Fig. 6a, b). Thus, the most immature progenitors have the highest level of Ackr2 expression, which then declines during the myeloid differentiation, showing an opposite behavior as compared to CCR2, whose expression is upregulated during maturation³¹ (Fig. 6c).

When we performed expression analysis of other chemokine receptors, we found that, similarly to neutrophils, LSK, CMPs, and GMPs isolated from Ackr2^−/− mice expressed higher levels of CCR1, CCR2, and CCR5 compared to WT mice (Fig. 6c, Supplementary Fig. 6b,c). Fluorescence-activated cell sorting (FACS) analysis confirmed an increased expression of CCR2 in Ackr2^−/− LSK, CMP, and GMP cells, and revealed that this was restricted to the myeloid lineage, as no detectable levels of CCR2 were observed in both WT and Ackr2^−/− megakaryocyte-erythroid progenitors (MEPs; Lin^neg/Sca-1⁻/cKit⁺/CD34⁻/FcγRII/III⁻) (Fig. 6d). On the other hand, we did not find differences in CXCR4 mRNA and protein expression in WT and Ackr2^−/− HPCs (Fig. 6e, f, respectively). These results indicate that ACKR2 is expressed by HPCs and controls the expression of inflammatory CC chemokine receptors known to be involved in myeloid cell release from BM.

WT and Ackr2^−/− BM did not differ in the absolute number of LSK and CMPs, while a trend of increase was observed in the number of GMPs in the BM of Ackr2^−/− compared to WT mice (Supplementary Fig. 6d). In addition, no difference in the proliferation of hematopoietic progenitors (Supplementary Fig. 6e) and in the levels of the hematopoietic growth factor granulocyte colony-stimulating factor (Supplementary Fig. 6f) was found comparing resting and tumor-bearing WT and Ackr2^−/− mice.

However, LSK cells sorted from BM Ackr2^−/− and cultured in vitro had increased expression of the myeloid differentiation markers Ly6G, Ly6C, and CD11b, as compared to their WT counterparts (Fig. 6g–i, respectively). Conversely, induction of ACKR2 high expression levels by transfection in the human promyelocytic cell line HL-60, which express low levels of ACKR2 (Supplementary Fig. 6g,h), resulted in a significant reduction of CCR2 and CD11b expression, while no change in CXCR4 levels was detectable (Fig. 6j). The increased maturation of neutrophils was also supported by in vivo experiments with a BrdU analog³². Indeed, in the blood of Ackr2^−/− mice there were more mature neutrophils compared to WT mice (Supplementary Fig. 6i).

Collectively, these data indicate that ACKR2 genetic inactivation in early hematopoietic precursors results in an accelerated maturation rate of neutrophils, which are more efficiently mobilized by inflammatory chemokines and efficiently recruited to metastatic lesions, where they perform enhanced anti-metastatic activity. ACKR2 in hematopoietic precursors thus operates as a checkpoint for myeloid cell mobilization and effector functions, and its targeting may pave the way to innovative therapeutic strategies, unleashing myeloid cell-mediated protection against cancer.

Discussion

Chemokines are essential mediators of cancer-related inflammation. Chemokines and chemokine receptors are downstream of oncogene activation and inactivation of oncosuppressor genes, as illustrated by CXCR4 and the VHL pathway^1,33. Inflammatory chemokines contribute to shaping the landscape of immunity in cancer by recruiting tumor-promoting myeloid cells, polarized Th2 cells, and Treg cells, and by promoting M2-like skewing of tumor-associated macrophages (TAM)¹.

Consistently with this general picture, inactivation of ACKR2, a decoy and scavenger receptor for inflammatory CC chemokines, was associated with enhanced carcinogenesis in the skin and GI tract^13,14. Conversely, downregulation of ACKR2 driven by Kras activation is associated with tumor progression in human Kaposi’s sarcoma and in a mouse vascular tumor model¹⁶. Tuning of monocyte recruitment underlies the regulatory function of ACKR2 in tumor progression¹⁵.

In agreement with this set of previous data we found that in a model of primary mammary carcinogenesis driven by Her2, an oncogene involved in human breast cancer, ACKR2 deficiency was associated with accelerated appearance and growth of primary lesions. Given the tumor-promoting function of TAM in murine and human breast cancer^7,34,35, it is reasonable to assume that enhanced tumor growth was mediated by macrophages. Unexpectedly, in the same model, we found that ACKR2 deficiency was associated with protection against metastasis, an observation in sharp contrast with the primary tumor phenotype.

Protection against lung metastasis in ACKR2-deficient hosts was also observed in the 4T1 mammary carcinoma line transplanted orthotopically and in the classic B16F10 melanoma cell line injected i.v. The unexpected finding of protection against metastasis prompted a dissection of underlying mechanisms taking advantage of transplanted tumor models.

Several lines of evidence indicate that neutrophils mediate resistance to metastasis in ACKR2-deficient hosts. ACKR2 deficiency was associated with profound alterations in neutrophil phenotype and function. Indeed Ackr2^−/− neutrophils had increased ROS production and cell-killing activity, a pattern that identifies mature or activated neutrophils³². Moreover, neutrophils lacking ACKR2 had increased expression of the chemokine receptors Ccr1, Ccr2, and Ccr5, a chemokine receptor profile again typical of activated neutrophils. Indeed, neutrophils express different pattern of chemokine receptors depending on their activation state^36,37. Interferon-γ, the prototypic Th1 cytokine, upregulates the expression of the CC chemokine receptors CCR1 and CCR3³⁸, and inflammatory stimuli such as lipopolysaccharide (LPS) induce CCR2 expression in neutrophils³⁹. The expression of CC chemokine receptors by neutrophils is functionally relevant not only in terms of recruitment to the inflamed site but also in the activation of their effector functions such as respiratory burst, bacterial killing, and anti-metastatic activity^28,36,40. In line with these data Ackr2-deficient neutrophils showed increased recruitment to the lungs (Supplementary Fig. 3d) and increased tumor-killing activity (Fig. 5g) compared to WT neutrophils.

The role of neutrophils in protection against metastasis was also demonstrated by depletion experiments. Neutrophil depletion rescued the phenotype of resistance to metastasis observed in ACKR2-deficient hosts. Interestingly, in ACKR2-competent mice neutrophil depletion resulted in reduced metastasis (Fig. 4b, c), in line with several observations of neutrophil-mediated tumor promotion (see below). Finally, adoptive transfer of ACKR2-deficient neutrophils mediated resistance against metastasis (Fig. 4d). Thus, unleashing neutrophil-mediated resistance underlies protection against metastasis observed in ACKR2-deficient mice.

The finding that Ackr2 expression was vanishingly low in mature neutrophils, raised the possibility of a regulatory function of this molecule upstream in hematopoiesis. We found that Ackr2 is expressed by HPCs and that it is downregulated during maturation in myeloid progenitors. Interestingly, ACKR2 was cloned in 1997 from the BM⁴¹ but its role and expression in this compartment has not been explored⁴². Here we found that Ackr2^−/− HPCs, like Ackr2^−/− neutrophils, express extremely high levels of the chemokine receptors CCR1, CCR2, and CCR5 and, when cultured with differentiating cytokines, acquire myeloid differentiation markers faster compared to WT counterparts.

To directly assess the effect of ACKR2 on chemokine receptors in immature hematopoietic elements, the HL-60 cell line was used. Here ACKR2 downregulated the expression of CCR2 and of the integrin CD11b. ACKR2 induces a signal transduction cascade activating a β-arrestin-dependent signaling that optimizes its chemokine scavenging activity⁴³. It is likely that in HPCs β-arrestin signaling by ACKR2 negatively controls the expression of CC chemokine receptors by interfering with other signaling pathways or by activating mechanism of negative regulation as previously described for other ACKRs. ACKR3, for example, negatively controls signaling by CXCR4⁴⁴ and ACKR4 inhibits the expression of CCR7, CCR9, CXCR5, and CXCR4⁴⁵. Our data are also consistent with previous published data reporting that ACKR2 regulates neutrophil migration toward inflammatory CC chemokines⁴⁶.

Neutrophils have emerged as important players in cancer-related inflammation. In general, several lines of evidence indicate that neutrophils are part of the inflammatory network, which promotes tumor progression and metastasis^47,48,49. In accordance with this line of evidence, we observed that neutrophil depletion using an α-Ly6G monoclonal antibody resulted in decreased lung metastasis in the B16F10 and in the 4T1 models (Fig. 4b, c). However, neutrophils can undergo functionally reprogramming in response to tumor- and host-derived signals^48,49 and accordingly exert divergent influence on tumor growth⁵⁰, a dichotomy mirrored by prognostic significance in different human cancers⁵¹.

Here we report that Ackr2 expressed by HPCs is a key setpoint of neutrophil differentiation, mobilization, and function (Supplementary Fig. 7). Targeting hematopoietic ACKR2 may pave the way to innovative therapeutic strategies unleashing myeloid cell-mediated protection against infection and cancer.

Methods

Cell lines

4T1 and 4T1-66cl4 cells (kindly provided by Dr. Claudia Chiodoni, Department of Experimental Oncology and Molecular Medicine, Istituto Nazionale dei Tumori, Milano, Italy) were grown in Dulbecco’s modified Eagle medium (DMEM; Lonza) supplemented with 10% fetal bovine serum (FBS; Sigma), 1% penicillin/streptomycin (Lonza), 1% l-glutamine (Lonza), 1% sodium pyruvate (Lonza), and 1% Hepes (Lonza). B16F10, kindly provided by Prof. Massimiliano Mazzone (Vesalius Research Center, Leuven, Belgium), were grown in DMEM (Lonza) supplemented with 10% FBS (Sigma), 1% penicillin/streptomycin (Lonza), and 1% l-glutamine (Lonza). 4T1-luc from PerkinElmer were grown in RPMI 1640 (Lonza), 10% FBS (Sigma), 1% penicillin/streptomycin (Lonza), 1% l-glutamine (Lonza), 1% sodium pyruvate (Lonza), and 5.4 g/l glucose (Sigma). HL-60 were purchased from American Type Culture Collection and grown in Iscove’s modified Dulbecco’s medium (IMDM; Lonza), 20% FBS (Sigma), 1% penicillin/streptomycin (Lonza), 1% l-glutamine (Lonza), and 1% sodium pyruvate (Lonza), and transfected with pEGFP-N1 ACKR2 or mock vector⁵² by using the Nucleofector Kits for HL-60 (Lonza) according to the manufacturer’s instructions. Green fluorescent protein-positive cells were sorted for mRNA analysis. Cells were tested for mycoplasma and only mycoplasma-free cells were used.

Animals

Ackr2^−/− mice were maintained on Balb/c and C57BL/6J genetic background. Balb/c WT and Ackr2^−/− mice were crossed with NeuT mice (kindly donated by Professor Federica Cavallo, University of Turin, Italy). WT and WT CD45.1 mice were obtained from Charles River Laboratories (Calco, Italy) or were co-housed littermates. All colonies were housed and bred in the SPF animal facility at Humanitas Clinical and Research Center in individually ventilated cages. Mice used for experiments were 8–12 weeks old. Procedures involving animal handling and care were conformed to protocols approved by the Humanitas Clinical and Research Center (Rozzano, Milan, Italy) in compliance with national (4D.L. N.116, G.U., suppl. 40, 18-2-1992) and international law and policies (EEC Council Directive 2010/63/EU, OJ L 276/33, 22-09-2010; and National Institutes of Health Guide for the Care and Use of Laboratory Animals, US National Research Council, 2011). The study was approved by the Italian Ministry of Health (approval no. 88/2013-B, issued on 08 April 2013). All efforts were made to minimize the number of animals used and their suffering. Mice were randomized based on sex, age, and weight. The sample size was chosen on the basis of past experience on tumor models in order to detect differences of at least 20% between the groups. In most in vivo experiments, the investigators were unaware of the genotype of the experimental groups.

Tissue collection

Blood was collected from the retro-orbital plexus and by cardiac puncture as described⁵³. Briefly, blood was collected in 2KD-EDTA spray-coated tubes (BD Bioscience), washed in FACS buffer (PBS^−/−, 1% bovine serum albumin, and 0.05 % sodium azide), red blood cells were lysed, washed again, and cells were stained as indicated. Lungs were instilled with PBS for FACS analysis or 4% neutral buffer formalin for histological analysis. For FACS analysis, lungs were minced, digested for 45 min in 1 mg/ml collagenase IV (Sigma) in PBS^−/−, and filtered with 70 μm cell strainer. Red blood cells were lysed and cells stained as indicated. BM was collected from femurs and tibiae. Bones were harvested, cleaned, flushed, and filtered with 70 μm cell strainer. Red blood cells were lysed and cells stained as indicated below.

Tumor models

Tumor volume was assessed with caliper using the formula: (length × width × width)/2. Tumor take in NeuT model was determinate by palpation as number of mammary tumors per mouse. For 4T1 and 4T1-66cl4 models 5 × 10⁵ cells were injected in the mammary fat path of Balb/c mice. For lung metastasis evaluation in NeuT, 4T1, and 4T1-66cl4 models, lungs were instilled and fixed for 24 h with 4% neutral buffered formalin, routinely processed for paraffin embedding, sectioned at 4 μm thickness, and stained with hematoxylin and eosin. Sections were evaluated in a blinded fashion under a light microscope. Lung metastasis in NeuT, 4T1, and 4T1-66cl4 models were classified according to their size into: small (<30 neoplastic cells), medium (30–300 neoplastic cells), and large (>300 neoplastic cells). A total metastatic score was then calculated for each lung as follows: number of small metastases × 1 + number of medium metastases × 3 + number of large metastasis × 5. Representative images were acquired with Slide Scanner VS120 dotSlide (Olympus) and analyzed with ImageJ. The melanoma cell line B16F10 (2 × 10⁵ cells) was injected i.v. in C57BL/6 mice and metastases were macroscopically counted as dark nodules on the lung surface. For all the models, metastatic ratio was calculated as ratio of metastasis in Ackr2^−/− or depleted mice compared to indicated control mice. For monocyte depletion, mice were treated with 100 μg of α-CD115 antibody (clone AFS98, Bioxcell) the day before 2 × 10⁵ B16F10 injection and every 2 days for the entire duration of the experiment. For neutrophil depletion, mice were treated with 200 μg of α-Ly6G antibody (clone 1A8, Bioxcell) the day before 2 × 10⁵ B16F10 injection and with 100 μg every 3 days for the entire duration of the experiment. For B-cell depletion, mice were treated with 250 μg of α-CD20 (clone 5D2, Genentech Inc.) 3 days before 2 × 10⁵ B16F10 injection. For adoptive transfer experiments, neutrophils were isolated from WT and Ackr2^−/− BM using the Mouse Neutrophil Isolation Kit (Miltenyi Biotec) and an autoMACS Pro separator (Miltenyi Biotec). Cell purity was assessed by flow cytometry (CD45, CD11b, and Ly6G) and used only if neutrophils were ≥95% on CD45⁺ cells. For B16F10 model, recipient WT mice were injected i.v. with 5 × 10⁶ WT or Ackr2^−/− neutrophils every 3 days for the entire duration of the experiment. For adoptive transfer experiment, recipient CD45.1 mice were injected i.v. with 2 × 10⁶ CD45.2 WT or Ackr2^−/− neutrophils 15 min before CCL3L1 (R&D) injection and after 1 h lung and blood were collected and leukocytes counted by flow cytometry.

Immunohistochemistry

Serial 4 μm formalin-fixed and paraffin-embedded lung sections were deparaffinized and underwent heat-induced epitope retrieval with pressure cooker. Endogenous peroxidase activity was blocked by incubating sections in 3% H₂O₂ for 15 min. Slides were rinsed and treated with Rodent Block M (Biocare Medical) for 30 min to reduce nonspecific background staining and then incubated for 1 h at room temperature with Ly6G antibody (1:200; clone 1A8; BD Bioscience), Sections were incubated for 30 min with Rat on Mouse HRP-Polymer kit (Biocare Medical). The immunoreaction was visualized with 3,3′-diaminobenzidine (Peroxidase DAB Substrate Kit, Vector Laboratories) substrate and sections were counterstained with Mayer’s hematoxylin. Negative immunohistochemical controls for each sample were prepared by replacing the primary antibody with normal serum. Positive control sections were included in each immunolabeling assay. Tissues were dehydrated with ethanol, mounted with Eukitt, and acquired with an Olympus BX61 virtual slide scanning system using Cell^F software (Olympus). In each section 10 independent field of view were acquired. To evaluate the extent of granulocytes infiltration in the lung parenchyma, the percentage of Ly6G-positive area was analyzed with Image-Pro Analyzer 7.0 (Media Cybernetics) software. Representative images were generated using the ImageJ analysis program (http://rsb.info.nih.gov/ij/).

Flow cytometry analysis

Flow cytometry analysis was performed as previously described⁵³. To exclude dead cells from analysis, cells were stained with Violet dead cell stain kit (Thermo Fisher). Single-cell suspension was stained with antibodies listed in Supplementary Table 1 and related isotype. All antibodies were purchased from BD Bioscience, BioLegend, eBioscience, or AbD Serotec. Flow cytometry data were acquired using a FACSCanto II (BD Bioscience) and LSR Fortessa (BD Bioscience), and data were analyzed with FACS Diva (BD Bioscience) and representative images were generated with FlowJo Software (Tree Star). To analyze ROS production, neutrophils were stained with 5 μM CellROX Deep Red Reagent (Thermo Fisher) for 20 min at 37 °C in RPMI 1% FBS. Staining was blocked on ice, red blood cells were lysed, and neutrophils were analyzed by flow cytometry within 2 h from the staining. Where indicated, mice were injected with 500 μg of Click-it EdU Plus (Thermo Fisher) resuspended in PBS. Femurs were harvested 2 h after injection for hematopoietic progenitor analysis. For neutrophil analysis blood was collected 48 and 72 h after injection. Staining was performed according to the manufacturer’s instructions. The absolute number was determined by using TruCount beads (BD Biosciences) according to the manufacturer’s instructions. Cell sorting was performed using a FACSAria III (BD Bioscience).

HPC isolation and culture

Lineage-negative cells were isolated from WT and Ackr2^−/− BM using LS columns and the Mouse Lineage Cell Depletion Kit (Miltenyi Biotec), according to the manufacturer’s instructions. Negative fraction was stained with Streptavidin-PB, Sca-1, cKit, CD34, and FcγRII/III antibodies and sorted. LSK were seed (1 × 10³/well) in rounded-bottom 96-well plate in IMDM medium (Lonza) supplemented with 10% FCS (Sigma), 1% l-glutamine (Lonza), 20 ng/ml stem cell factor (SCF) (Peprotech), 10 ng/ml interleukin (IL)-6 (Peprotech), and 10 ng/ml IL-3 (Peprotech), as previously described⁵⁴. Cells were harvested 3 and 6 days after seeding, stained, and analyzed by flow cytometry.

Leukocyte mobilization

Mice were injected intraperitoneally with 3 μg CCL3L1 (R&D) and after 1 h blood was collected and leukocytes counted by flow cytometry. To evaluate the percentage of monocytes in BM sinusoids, mice were injected intravenously with 1 μg Ly6C⁻PE antibody 2 min before the end of experiment.

Generation of BM chimeras

Recipient mice received gentamycin (0.8 mg/ml) in drinking water for 2 weeks starting 10 days before irradiation. WT and Ackr2^−/− mice were lethally irradiated with a total dose of 900 cGy. After 2 h, mice were injected in the retro-orbital plexus with 4 × 10⁶ nucleated BM cells obtained by flushing of the cavity of a freshly dissected femur from WT or Ackr2^−/− donors. Experiment were performed 16 weeks after irradiation to allow complete myeloid repopulation.

In vitro cell-killing assay

Neutrophils were isolated by magnetic separation as described above from blood of 14 days’ 4T1 tumor-bearing mice or from BM of untreated mice and seeded (1 × 10⁵/well) in a 96-well plate in which, 4 h before, 5 × 10³ 4T1-luc cells were plated in Optimem (Thermo Fisher) + 0.5% FBS. Cells were incubated overnight in presence of apocynin 100 μM (Sigma) or dimethylsulfoxide control. Firefly luciferase activity was detected with luciferase assay system (Promega) and Synergy H2 (Biotek). Cell killing was calculated as percentage of tumor lysis by the following formula: % cell killing = (1 −[luminescence of samples with neutrophils]/[luminescence of samples in medium]) × 100.

Transcript analysis by quantitative PCR

Total RNA was extracted from HPCs with miRNA easy Mini kit (Qiagen). Reverse transcription was done using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). Quantitative PCR (qPCR) was performed with TaqMan Gene Expression Assays (Thermo Fisher) in a 7900 HT Fast Real-Time PCR System (Applied Biosystems) with probes listed in Supplementary Table 2. Total RNA was extracted from HL-60 cells and neutrophils using the TRIzol reagent (Thermo Fisher). Reverse transcription was done using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). qPCR was performed with TaqMan Gene Expression Assays in a CFX Connect Real-Time PCR Detection System (BioRad) with probes listed in Supplementary Table 2. Relative mRNA expression was determined by using the 2^−ΔCt method, and normalized to the expression of the housekeeping gene β-actin or Gapdh.

Statistical analysis

Data are represented as mean. In all figures sample variation is shown as SD. p value was generated using the unpaired t-test after normality test and F test to exclude difference in the variance between groups (GraphPad Prism 5). *p < 0.05, **p < 0.01, ***p < 0.001, ns = not statistically different.

Data availability

The authors declare that all the data supporting the findings of this study are available within the article and its supplementary information files and from the corresponding author upon reasonable request.

References

Mantovani, A. et al. The chemokine system in cancer biology and therapy. Cytokine Growth Factor Rev. 21, 27–39 (2010).
Article CAS PubMed Google Scholar
Chow, M. T. & Luster, A. D. Chemokines in cancer. Cancer Immunol. Res. 2, 1125–1131 (2014).
Article CAS PubMed PubMed Central Google Scholar
Borrello, M. G. et al. Induction of a proinflammatory program in normal human thyrocytes by the RET/PTC1 oncogene. Proc. Natl Acad. Sci. USA 102, 14825–14830 (2005).
Article ADS CAS PubMed PubMed Central Google Scholar
Lazennec, G. & Richmond, A. Chemokines and chemokine receptors: new insights into cancer-related inflammation. Trends Mol. Med. 16, 133–144 (2010).
Article CAS PubMed PubMed Central Google Scholar
Müller, A. et al. Involvement of chemokine receptors in breast cancer metastasis. Nature 410, 50–56 (2001).
Article ADS PubMed Google Scholar
Balkwill, F. Cancer and the chemokine network. Nat. Rev. Cancer 4, 540–550 (2004).
Article CAS PubMed Google Scholar
Qian, B.-Z. et al. CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis. Nature 475, 222–225 (2011).
Article CAS PubMed PubMed Central Google Scholar
Griffith, J. W., Sokol, C. L. & Luster, A. D. Chemokines and chemokine receptors: positioning cells for host defense and immunity. Annu. Rev. Immunol. 32, 659–702 (2014).
Article CAS PubMed Google Scholar
Mantovani, A., Bonecchi, R. & Locati, M. Tuning inflammation and immunity by chemokine sequestration: decoys and more. Nat. Rev. Immunol. 6, 907–918 (2006).
Article CAS PubMed Google Scholar
Bonecchi, R., Savino, B., Borroni, E. M., Mantovani, A. & Locati, M. Chemokine decoy receptors: structure-function and biological properties. Curr. Top. Microbiol. Immunol. 341, 15–36 (2010).
CAS PubMed Google Scholar
Bonecchi, R. & Graham, G. J. Atypical chemokine receptors and their roles in the resolution of the inflammatory response. Front. Immunol. 7, 224 (2016).
Article PubMed PubMed Central Google Scholar
Mantovani, A., Allavena, P., Sica, A. & Balkwill, F. Cancer-related inflammation. Nature 454, 436–444 (2008).
Article ADS CAS PubMed Google Scholar
Vetrano, S. et al. The lymphatic system controls intestinal inflammation and inflammation-associated colon cancer through the chemokine decoy receptor D6. Gut 59, 197–206 (2010).
Article PubMed Google Scholar
Nibbs, R. J. et al. The atypical chemokine receptor D6 suppresses the development of chemically induced skin tumors. J. Clin. Invest. 117, 1884–1892 (2007).
Article CAS PubMed PubMed Central Google Scholar
Massara, M., Bonavita, O., Mantovani, A., Locati, M. & Bonecchi, R. Atypical chemokine receptors in cancer: friends or foes? J. Leukoc. Biol. 99, 927–933 (2016).
Article CAS PubMed Google Scholar
Savino, B. et al. ERK-dependent downregulation of the atypical chemokine receptor D6 drives tumor aggressiveness in Kaposi sarcoma. Cancer Immunol. Res. 2, 679–689 (2014).
Article CAS PubMed Google Scholar
Wu, F.-Y. et al. Chemokine decoy receptor d6 plays a negative role in human breast cancer. Mol. Cancer Res. 6, 1276–1288 (2008).
Article CAS PubMed Google Scholar
Bonecchi, R. et al. Atypical chemokine receptor 2: a brake against Kaposi’s sarcoma aggressiveness. Oncoimmunology 3, e955337 (2014).
Article PubMed Google Scholar
Rovero, S. et al. DNA vaccination against rat her-2/Neu p185 more effectively inhibits carcinogenesis than transplantable carcinomas in transgenic BALB/c mice. J. Immunol. 165, 5133–5142 (2000).
Article CAS PubMed Google Scholar
Melani, C., Chiodoni, C., Forni, G. & Colombo, M. P. Myeloid cell expansion elicited by the progression of spontaneous mammary carcinomas in c-erbB-2 transgenic BALB/c mice suppresses immune reactivity. Blood 102, 2138–2145 (2003).
Article CAS PubMed Google Scholar
Casbon, A. J. et al. Invasive breast cancer reprograms early myeloid differentiation in the bone marrow to generate immunosuppressive neutrophils. Proc. Natl Acad. Sci. USA 112, E566–E575 (2015).
Article CAS PubMed PubMed Central Google Scholar
Pande, K. et al. Cancer-induced expansion and activation of CD11b + Gr−1 + cells predispose mice to adenoviral-triggered anaphylactoid-type reactions. Mol. Ther. 17, 508–515 (2009).
Article CAS PubMed PubMed Central Google Scholar
Bidwell, B. N. et al. Silencing of Irf7 pathways in breast cancer cells promotes bone metastasis through immune escape. Nat. Med. 18, 1224–1231 (2012).
Article CAS PubMed Google Scholar
Savino, B. et al. Control of murine Ly6C(high) monocyte traffic and immunosuppressive activities by atypical chemokine receptor D6. Blood 119, 5250–5260 (2012).
Article CAS PubMed Google Scholar
Baba, T. & Mukaida, N. Role of macrophage inflammatory protein (MIP)-1alpha/CCL3 in leukemogenesis. Mol. Cell. Oncol. 1, e29899 (2014).
Article PubMed PubMed Central Google Scholar
Allende, M. L. et al. S1P1 receptor directs the release of immature B cells from bone marrow into blood. J. Exp. Med. 207, 1113–1124 (2010).
Article CAS PubMed PubMed Central Google Scholar
Hansell, C. A. et al. Universal expression and dual function of the atypical chemokine receptor D6 on innate-like B cells in mice. Blood 117, 5413–5424 (2011).
Article CAS PubMed PubMed Central Google Scholar
Granot, Z. et al. Tumor entrained neutrophils inhibit seeding in the premetastatic lung. Cancer Cell 20, 300–314 (2011).
Article CAS PubMed PubMed Central Google Scholar
Zhang, D. et al. Neutrophil ageing is regulated by the microbiome. Nature 525, 528–532 (2015).
Article ADS CAS PubMed PubMed Central Google Scholar
Coffelt, S. B., Wellenstein, M. D. & de Visser, K. E. Neutrophils in cancer: neutral no more. Nat. Rev. Cancer 16, 431–446 (2016).
Article CAS PubMed Google Scholar
Si, Y., Tsou, C. L., Croft, K. & Charo, I. F. CCR2 mediates hematopoietic stem and progenitor cell trafficking to sites of inflammation in mice. J. Clin. Invest. 120, 1192–1203 (2010).
Article CAS PubMed PubMed Central Google Scholar
Adrover, J. M., Nicolas-Avila, J. A. & Hidalgo, A. Aging: a temporal dimension for neutrophils. Trends Immunol. 37, 334–345 (2016).
Article CAS PubMed Google Scholar
Schioppa, T. et al. Regulation of the chemokine receptor CXCR4 by hypoxia. J. Exp. Med. 198, 1391–1402 (2003).
Article CAS PubMed PubMed Central Google Scholar
DeNardo, D. G. et al. CD4(+) T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell 16, 91–102 (2009).
Article CAS PubMed PubMed Central Google Scholar
Bottai, G. et al. AXL-associated tumor inflammation as a poor prognostic signature in chemotherapy-treated triple-negative breast cancer patients. NPJ Breast Cancer 2, 16033 (2016).
Article PubMed PubMed Central Google Scholar
Bonavita, O., Massara, M. & Bonecchi, R. Chemokine regulation of neutrophil function in tumors. Cytokine Growth Factor Rev. 30, 81–86 (2016).
Article CAS PubMed Google Scholar
Jablonska, J., Wu, C. F., Andzinski, L., Leschner, S. & Weiss, S. CXCR2-mediated tumor-associated neutrophil recruitment is regulated by IFN-beta. Int. J. Cancer 134, 1346–1358 (2014).
Article CAS PubMed Google Scholar
Bonecchi, R. et al. Up-regulation of CCR1 and CCR3 and induction of chemotaxis to CC chemokines by IFN-gamma in human neutrophils. J. Immunol. 162, 474–479 (1999).
CAS PubMed Google Scholar
Souto, F. O. et al. Essential role of CCR2 in neutrophil tissue infiltration and multiple organ dysfunction in sepsis. Am. J. Respir. Crit. Care Med. 183, 234–242 (2011).
Article CAS PubMed Google Scholar
Hartl, D. et al. Infiltrated neutrophils acquire novel chemokine receptor expression and chemokine responsiveness in chronic inflammatory lung diseases. J. Immunol. 181, 8053–8067 (2008).
Article CAS PubMed Google Scholar
Nibbs, R. J., Wylie, S. M., Yang, J., Landau, N. R. & Graham, G. J. Cloning and characterization of a novel promiscuous human beta-chemokine receptor D6. J. Biol. Chem. 272, 32078–32083 (1997).
Article CAS PubMed Google Scholar
Ottersbach, K. et al. Macrophage inflammatory protein-1alpha uses a novel receptor for primitive hemopoietic cell inhibition. Blood 98, 3476–3478 (2001).
Article CAS PubMed Google Scholar
Borroni, E. M. et al. β-arrestin-dependent activation of the cofilin pathway is required for the scavenging activity of the atypical chemokine receptor D6. Sci. Signal. 6, ra30 (2013).
Article Google Scholar
Levoye, A., Balabanian, K., Baleux, F., Bachelerie, F. & Lagane, B. CXCR7 heterodimerizes with CXCR4 and regulates CXCL12-mediated G protein signaling. Blood 113, 6085–6093 (2009).
Article CAS PubMed Google Scholar
Zhu, Y. et al. CCX-CKR expression in colorectal cancer and patient survival. Int. J. Biol. Markers 29, e40–e48 (2014).
Article CAS PubMed Google Scholar
Rot, A. et al. Cell-autonomous regulation of neutrophil migration by the D6 chemokine decoy receptor. J. Immunol. 190, 6450–6456 (2013).
Article CAS PubMed PubMed Central Google Scholar
Coffelt, S. B. et al. IL-17-producing gammadelta T cells and neutrophils conspire to promote breast cancer metastasis. Nature 522, 345–348 (2015).
Article ADS CAS PubMed PubMed Central Google Scholar
Fridlender, Z. G. et al. Polarization of tumor-associated neutrophil phenotype by TGF-beta: “N1” versus “N2” TAN. Cancer Cell 16, 183–194 (2009).
Article CAS PubMed PubMed Central Google Scholar
Mantovani, A., Cassatella, M. A., Costantini, C. & Jaillon, S. Neutrophils in the activation and regulation of innate and adaptive immunity. Nat. Rev. Immunol. 11, 519–531 (2011).
Article CAS PubMed Google Scholar
Eruslanov, E. B. et al. Tumor-associated neutrophils stimulate T cell responses in early-stage human lung cancer. J. Clin. Invest. 124, 5466–5480 (2014).
Article PubMed PubMed Central Google Scholar
Shen, M. et al. Tumor-associated neutrophils as a new prognostic factor in cancer: a systematic review and meta-analysis. PLoS ONE 9, e98259 (2014).
Article ADS PubMed PubMed Central Google Scholar
Bonecchi, R. et al. Regulation of D6 chemokine scavenging activity by ligand- and Rab11-dependent surface up-regulation. Blood 112, 493–503 (2008).
Article CAS PubMed Google Scholar
Bonavita, O. et al. Chapter twenty-flow cytometry detection of chemokine receptors for the identification of murine monocyte and neutrophil subsets. Methods Enzymol. 570, 441–456 (2016).
Article PubMed Google Scholar
Ficara, F. et al. Pbx1 restrains myeloid maturation while preserving lymphoid potential in hematopoietic progenitors. J. Cell Sci. 126, 3181–3191 (2013).
Article CAS PubMed PubMed Central Google Scholar

Download references

Acknowledgements

This study was supported by the Italian Association for Cancer Research (AIRC—IG 15438) to R.B. and in part by a grant from the Italian Ministry of Health (GR-2010-2307975) to F.F. and by a grant HEALTH-F4-2011-281608 (TIMER) to A.M.. L.C. is recipient of a fellowship from Fondazione Nicola del Roscio. We acknowledge the Humanitas Flow Cytometry and Imaging Core for the technical assistance during the experiments.

Author information

Matteo Massara, Ornella Bonavita, Benedetta Savino and Nicoletta Caronni contributed equally to this work.

Authors and Affiliations

Humanitas Clinical and Research Center, via Manzoni 56, 20089, Rozzano, MI, Italy
Matteo Massara, Ornella Bonavita, Benedetta Savino, Nicoletta Caronni, Valeria Mollica Poeta, Marina Sironi, Elisa Setten, Laura Crisafulli, Francesca Ficara, Alberto Mantovani, Massimo Locati & Raffaella Bonecchi
Department of Medical Biotechnologies and Translational Medicine, Università degli Studi di Milano, Via Fratelli Cervi, 93, 20090, Segrate, MI, Italy
Matteo Massara, Ornella Bonavita, Benedetta Savino, Nicoletta Caronni, Elisa Setten & Massimo Locati
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 20090, Pieve Emanuele, MI, Italy
Valeria Mollica Poeta, Alberto Mantovani & Raffaella Bonecchi
Fondazione Filarete, viale Ortles 22/4, 20139, Milano, Italy
Camilla Recordati
Milan Unit, Istituto di Ricerca Genetica e Biomedica, CNR, via Manzoni 56, 20089, Rozzano, MI, Italy
Laura Crisafulli & Francesca Ficara
The William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
Alberto Mantovani

Authors

Matteo Massara
View author publications
You can also search for this author in PubMed Google Scholar
Ornella Bonavita
View author publications
You can also search for this author in PubMed Google Scholar
Benedetta Savino
View author publications
You can also search for this author in PubMed Google Scholar
Nicoletta Caronni
View author publications
You can also search for this author in PubMed Google Scholar
Valeria Mollica Poeta
View author publications
You can also search for this author in PubMed Google Scholar
Marina Sironi
View author publications
You can also search for this author in PubMed Google Scholar
Elisa Setten
View author publications
You can also search for this author in PubMed Google Scholar
Camilla Recordati
View author publications
You can also search for this author in PubMed Google Scholar
Laura Crisafulli
View author publications
You can also search for this author in PubMed Google Scholar
Francesca Ficara
View author publications
You can also search for this author in PubMed Google Scholar
Alberto Mantovani
View author publications
You can also search for this author in PubMed Google Scholar
Massimo Locati
View author publications
You can also search for this author in PubMed Google Scholar
Raffaella Bonecchi
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

R.B., M.L., A.M., and F.F. conceived and designed the experiments. M.M., O.B., B.S., N.C., M.S., V.M.P., E.S., C.R., L.C., and F.F. performed the experiments. R.B., M.M., O.B., B.S., N.C., C.R., and M.L. analyzed the data. R.B., M.L., and A.M. wrote the paper.

Corresponding author

Correspondence to Raffaella Bonecchi.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplementary Information

Peer Review File

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Massara, M., Bonavita, O., Savino, B. et al. ACKR2 in hematopoietic precursors as a checkpoint of neutrophil release and anti-metastatic activity. Nat Commun 9, 676 (2018). https://doi.org/10.1038/s41467-018-03080-8

Download citation

Received: 15 February 2017
Accepted: 17 January 2018
Published: 14 February 2018
DOI: https://doi.org/10.1038/s41467-018-03080-8

This article is cited by

How chemokines organize the tumour microenvironment
- Thorsten R. Mempel
- Julia K. Lill
- Lukas M. Altenburger
Nature Reviews Cancer (2024)
Prognostic significance and immune escape implication of tumor-infiltrating neutrophil plasticity in human head and neck squamous cell carcinoma
- Xiaoke Zhu
- Yu Heng
- Liming Lu
Human Cell (2024)
A cell transcriptomic profile provides insights into adipocytes of porcine mammary gland across development
- Yongliang Fan
- Long Jin
- Mingzhou Li
Journal of Animal Science and Biotechnology (2023)
Identification and validation of an immune-relevant risk signature predicting survival outcome and immune infiltration in uveal melanoma
- Xiao Sun
- Qingmin Li
- Guijun Xu
International Ophthalmology (2023)
Immunosuppressive cells in cancer: mechanisms and potential therapeutic targets
- Yan Tie
- Fan Tang
- Xia-wei Wei
Journal of Hematology & Oncology (2022)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.