NLRP3 inflammasome in fibroblasts links tissue damage with inflammation in breast cancer progression and metastasis

Ershaid, Nour; Sharon, Yoray; Doron, Hila; Raz, Yael; Shani, Ophir; Cohen, Noam; Monteran, Lea; Leider-Trejo, Leonor; Ben-Shmuel, Amir; Yassin, Muhammad; Gerlic, Motti; Ben-Baruch, Adit; Pasmanik-Chor, Metsada; Apte, Roni; Erez, Neta

doi:10.1038/s41467-019-12370-8

Download PDF

Article
Open access
Published: 26 September 2019

NLRP3 inflammasome in fibroblasts links tissue damage with inflammation in breast cancer progression and metastasis

Nour Ershaid ORCID: orcid.org/0000-0002-6422-7728¹^na1,
Yoray Sharon¹^na1,
Hila Doron¹,
Yael Raz^1,2,
Ophir Shani¹,
Noam Cohen¹,
Lea Monteran¹,
Leonor Leider-Trejo³,
Amir Ben-Shmuel⁴,
Muhammad Yassin¹,
Motti Gerlic ORCID: orcid.org/0000-0001-9518-1833⁵,
Adit Ben-Baruch⁶,
Metsada Pasmanik-Chor⁷,
Roni Apte⁸ &
…
Neta Erez¹

Nature Communications volume 10, Article number: 4375 (2019) Cite this article

14k Accesses
180 Citations
64 Altmetric
Metrics details

Subjects

Abstract

Cancer-Associated Fibroblasts (CAFs) were shown to orchestrate tumour-promoting inflammation in multiple malignancies, including breast cancer. However, the molecular pathways that govern the inflammatory role of CAFs are poorly characterised. In this study we found that fibroblasts sense damage-associated molecular patterns (DAMPs), and in response activate the NLRP3 inflammasome pathway, resulting in instigation of pro-inflammatory signalling and secretion of IL-1β. This upregulation was evident in CAFs in mouse and in human breast carcinomas. Moreover, CAF-derived inflammasome signalling facilitated tumour growth and metastasis, which was attenuated when NLRP3 or IL-1β were specifically ablated. Functionally, CAF-derived inflammasome promoted tumour progression and metastasis by modulating the tumour microenvironment towards an immune suppressive milieu and by upregulating the expression of adhesion molecules on endothelial cells. Our findings elucidate a mechanism by which CAFs promote breast cancer progression and metastasis, by linking the physiological tissue damage response of fibroblasts with tumour-promoting inflammation.

A framework for advancing our understanding of cancer-associated fibroblasts

Article Open access 24 January 2020

Erik Sahai, Igor Astsaturov, … Zena Werb

A stromal Integrated Stress Response activates perivascular cancer-associated fibroblasts to drive angiogenesis and tumour progression

Article Open access 02 June 2022

Ioannis I. Verginadis, Harris Avgousti, … Constantinos Koumenis

Clinical and therapeutic relevance of cancer-associated fibroblasts

Article 06 September 2021

Yang Chen, Kathleen M. McAndrews & Raghu Kalluri

Introduction

Breast cancer remains one of the leading causes of cancer-related deaths, and the most frequently diagnosed cancer in women. The tumour microenvironment plays a crucial role in cancer growth and metastasis¹. Cancer-associated fibroblasts (CAFs) are the most prominent cell type in the microenvironment of breast tumours, and their abundance is correlated with a higher grade of malignancy and with poor prognosis². CAFs facilitate tumour progression by secreting growth-promoting factors, by enhancing angiogenesis and by remodelling the extracellular matrix (ECM)³. Inflammation is now established as a hallmark of cancer⁴, and CAFs were shown to be key players in mediating tumour-promoting inflammation^5,6,7, due to their capability to recruit immune cells, and to affect the tumour-immune system interactions^6,8,9. However, the triggers and the molecular signalling which regulate the inflammatory role of CAFs are still poorly characterised.

Inflammasomes are a family of multi-protein complexes, expressed by cells of the innate immune system as part of its pathogen pattern recognition and damage-sensing mechanisms¹⁰. The NLRP3 inflammasome functions in sensing of tissue damage during sterile inflammation by recognising self-derived danger signals termed damage-associated molecular patterns (DAMPs)^11,12. DAMP recognition promotes the maturation and secretion of pro-inflammatory cytokines, including IL-1β, a pleiotropic pro-inflammatory cytokine that has profound effects on inflammation and immunity. During chronic inflammation that invokes extensive tissue damage and constant release of DAMPs, sustained activation of inflammasomes may enhance collateral damage; e.g. in rheumatoid arthritis¹³, systemic sclerosis¹⁴, and neurodegenerative diseases¹⁵.

The microenvironment of tumours is burdened with DAMPs due to necrosis of cancer cells and persistent tissue damage, which were shown to induce activation of the inflammasome in immune cells¹⁶. However, the role of immune cell-derived inflammasome signalling in tumours is controversial, and has been shown to have both pro-tumourigenic and anti-tumourigenic activities in various carcinomas¹⁷. Activation of the NLRP3 inflammasome in fibroblasts was reported in myocardial dysfunction¹⁸, and in fibrosis¹⁹, but it was not previously implicated in CAFs.

In this study, we set out to characterise the dynamic co-evolution of CAFs during breast carcinogenesis. We found that the NLRP3 inflammasome pathway is upregulated in CAFs during spontaneous murine mammary carcinogenesis, as well as in CAFs in human breast cancer. Moreover, we demonstrate that fibroblasts can function as DAMP sensors, and respond to tissue damage by activation of the inflammasome and secretion of IL-1β. Notably, genetic ablation of CAF-derived NLRP3 or IL-1β in different syngeneic mouse models delayed mammary tumour growth and/or attenuated lung metastasis. Functionally, we show that CAF-derived IL-1β facilitated tumour progression and metastasis by upregulating the expression of adhesion molecules in endothelial cells (ECs), and promoting the recruitment of CD11b⁺Gr1⁺ myeloid-derived suppressor cells (MDSCs). Thus, our findings uncovered a role for CAFs in breast cancer that links tissue damage with tumour-promoting inflammation via the NLRP3 inflammasome.

Results

The NLRP3 inflammasome is upregulated in mammary CAFs

In an effort to characterise the dynamic changes in CAFs during breast cancer progression, we profiled the transcriptome of fibroblasts isolated from distinct stages during mammary carcinogenesis, utilising the MMTV-PyMT murine model of breast cancer. This model is characterised by multistep carcinogenesis including hyperplasia at 4–5 weeks, carcinoma at 9–10 weeks, and advanced carcinoma at 12–13 weeks²⁰. Fibroblasts were isolated using fluorescence-activated cell sorting (FACS) as previously described²¹, and unbiased transcriptome analysis was performed utilising affymetrix gene arrays (Fig. 1a). Importantly, isolated fibroblasts were used directly from fresh tissues and were not cultured prior to expression profiling. Analysis of the results revealed that fibroblasts exhibited unique gene expression signatures that corresponded to distinct tumourigenic stages (Fig. 1b). Interestingly, there was only partial overlap in gene expression between the stages characterised. CAFs isolated from tumours (carcinoma and advanced carcinoma) were more similar to each other than to fibroblasts isolated from normal mammary glands, or from mammary hyperplastic lesions. 1157 differentially expressed genes overlapped between CAFs isolated from tumours (carcinoma and advanced carcinoma), while only a total of 69 genes overlapped between fibroblasts isolated from preneoplastic lesions and CAFs (Fig. 1c). These results suggest that fibroblasts co-evolve with tumour progression, and that a unique molecular programme is initiated in breast CAFs.

Further analysis of specific pathways that were activated in mammary CAFs revealed activation of pro-inflammatory genes, in agreement with previous studies^5,6,7 (Fig. 1d). Remarkably, we found that multiple genes that belong to the NLRP3 inflammasome pathway, including P2rx7, Nlrp3, Casp1, Il1a and Il1b are upregulated in CAFs isolated from mammary carcinoma, but not in normal mammary tissue, or in fibroblasts isolated from mammary hyperplasia (Fig. 1d, e). Notably, Il18, which is also activated by the NLRP3 inflammasome¹⁷, was downregulated in mammary CAFs.

The activity of the NLRP3 inflammasome in fibroblasts was previously reported in pathologies that involve tissue damage, such as myocardial dysfunction^18,22,23, oral lesions²⁴, and fibrosis¹⁹. However, the NLRP3 inflammasome was not previously implicated in CAFs. Intrigued by these observations, we decided to focus on characterising the NLRP3/IL-1β pathway in CAFs. Validation of the transcriptome profiling results by qRT-PCR in mammary CAFs isolated from mammary tumours or from normal mammary glands by FACS (Supplementary Fig. 1a) confirmed the upregulation of genes related to the NLRP3 inflammasome pathway (Fig. 1f). Additionally, immunohistochemistry (IHC) of advanced mammary carcinoma tissue sections from MMTV-PyMT mice confirmed that in addition to its activation in tumour cells, NLRP3 is upregulated in CAFs, but not in normal mammary fibroblasts (NMFs) (Fig. 1g, h, Supplementary Fig. 2a). Moreover, intracellular flow cytometry analysis validated the upregulation of NLRP3 in CAFs isolated from mammary tumours (Supplementary Fig. 2b,c). Interestingly, transcriptome analysis of normal dermal fibroblasts compared with CAFs isolated from squamous cell carcinoma confirmed that activation of the inflammasome is not limited to breast cancer (Supplementary Fig. 2d).

The NLRP3 inflammasome is upregulated in human breast CAFs

To assess if upregulation of the NLRP3 pathway in the stroma of breast tumours is relevant to human breast cancer, we analysed a publicly available data set of tumour stroma samples that were obtained by laser micro-dissection of breast tumours from 53 patients²⁵. Analysis revealed a significant up-regulation in the expression of genes from the NLRP3 inflammasome pathway (NLRP3, PYCARD, CASP1, and IL-1β) in the stroma of human breast tumours compared with normal stroma (Fig. 2a–d), suggesting a functional role for this pathway in tumour progression.

Notably, analysis of pro-inflammatory genes that were upregulated in mammary CAFs using the STRING database of human protein networks, showed enrichment of inflammatory pathways, including NLRP3/IL-1β signalling, confirming the functional connectivity between genes of this pathway in breast cancer (Supplementary Fig. 2e). To analyse the expression of inflammasome genes at the protein level, we utilised a database of human IHC images²⁶, and found that NLRP3 expression in the stroma of breast tumours is elevated as compared with normal breast stroma (Fig. 2e). Quantitative analysis of fibroblast-specific staining indicated that NLRP3 is significantly upregulated in breast CAFs but not in normal breast fibroblasts (Fig. 2f, g). Furthermore, we analysed a cohort of 79 breast cancer patients and quantified the staining intensity and the abundance of IL-1β-expressing fibroblasts. These analyses indicated that IL-1β is significantly upregulated in CAFs in human breast carcinomas, in correlation with disease progression (Fig. 2h–j). Notably, as was previously demonstrated, inflammasome activation was also apparent in tumour cells²⁷. Taken together, these findings implicate the activation of the NLRP3 inflammasome pathway in CAFs in human breast carcinogenesis.

Fibroblasts function as DAMP sensors via NLRP3 activation

While DAMPs are known to be prominent activators of the NLRP3 inflammasome²⁸, fibroblasts were not previously implicated in sensing of tumour-derived DAMPs. Therefore, we next set out to determine whether DAMPs could trigger the activation of the NLRP3 inflammasome in mammary fibroblasts. NMFs isolated from mammary glands of non-transgenic mice were exposed to known DAMPs²⁸: Adenosine triphosphate (ATP), monosodium urate (MSU) and H₂O₂. In addition, we analysed the effect of necrotic fluid extracted from advanced PyMT tumours, as it contains multiple DAMPs derived from necrotic cancer cells (Supplementary Fig. 3a, b). Multiple analyses indicated that fibroblasts can sense and respond to tissue damage signals: the expression of Nlrp3 was significantly upregulated by all the tested DAMPs (Fig. 3a), and the expression of IL-1β was upregulated by ATP and necrotic fluid (Fig. 3b). Pro-caspase-1 was cleaved to its active form, manifested in the detection of the p10 subunit (Fig. 3c). We further assessed IL-1β secretion by ELISA, and found that all the different DAMPs tested and specifically tumour-derived necrotic fluid induced the secretion of IL-1β from fibroblasts (Fig. 3d). Moreover, we analysed the response of Gasdermin D, a component of the NLRP3 inflammasome pathway that is cleaved by active caspase- 1²⁹. We found that in response to incubation with DAMPs, the cleavage of Gasdermin D in mammary fibroblasts was enhanced, further suggesting that fibroblasts respond to DAMPs by activation of the NLRP3 inflammasome pathway (Supplementary Fig. 3c). Interestingly, secretion of IL-1β was not directly linear with Casp-1 processing, suggesting that DAMPs also induce Casp-1-independent processing of IL-1β, as previously reported³⁰. Notably, activation of pro-inflammatory signalling, previously shown to be a hallmark of CAFs^5,7, was not limited to the NLRP3 inflammasome: exposure of NMFs to DAMPs resulted in upregulation of a pro-inflammatory gene signature (Fig. 2e). Thus, tumour-related DAMPs can activate fibroblasts to functionally express the NLRP3 inflammasome and pro-inflammatory signalling.

Tumours often hijack physiological pathways to promote their growth. Fibroblasts are key sentinels of tissue integrity and their activation following tissue damage is central to the induction of inflammation and wound healing. Since tumours were compared to wounds that do not heal³¹, we next asked whether DAMP sensing is a physiological characteristic of fibroblasts. To that end, we performed cutaneous wound assays and isolated fibroblasts derived from wounded skin or control skin (Fig. 3f). Gene expression analysis revealed upregulation of Nlrp3 and Il1b in wound-associated fibroblasts, as well as upregulation of αSMA (Acta2), a marker of activated fibroblasts (Fig. 3g). These results suggest that sensing and responding to tissue damage signals via the NLRP3 inflammasome is a physiological feature of activated fibroblasts, instigated in CAFs by tumour-induced tissue damage.

CAF-derived inflammasome signalling promotes tumour growth

We next sought to investigate the functional role of CAF-derived NLRP3/IL-1β pathway in tumour growth in vivo. To that end, we performed orthotopic co-injections of fibroblasts and tumour cells into Nlrp3^−/− mice. We utilised the syngeneic PyMT-derived mammary tumour cell line AT3 (C57BL/6 background)³². To specifically analyse the role of CAF-derived NLRP3, AT3 tumour cells were transduced with shRNA to silence Nlrp3 expression (shNlrp3 AT3, Supplementary Fig. 4a) and injected to mammary glands of Nlrp3^−/− mice admixed with wild-type (WT, C57BL/6) NMFs or Nlrp3^−/− NMFs (Fig. 4a). Thus, the only source of NLRP3 in this experimental setting was the injected WT fibroblasts. Analysis of tumour growth revealed that tumours co-injected with Nlrp3^−/− NMFs were significantly smaller than tumours injected with WT fibroblasts (Fig. 4b, c), suggesting that expression of NLRP3 in CAFs supports tumour growth. Seeking to characterise the mechanism by which CAF-derived NLRP3 affects tumour growth, we analysed parameters that were previously shown to be affected by CAFs, including fibrosis, immune cell recruitment, and angiogenesis⁸. Analysis of the results indicated no significant differences in collagen deposition (Sirius red staining) and blood vessel density (Meca-32) (Supplementary Fig. 4b, c). Interestingly, while FACS analysis of the infiltrating immune cells revealed no significant differences in infiltration of total myeloid cells (CD11b⁺), macrophages (CD11b⁺F480⁺), or T cells (CD3⁺) (Supplementary Fig. 4d–h), there was a significant reduction in recruitment of CD11b⁺Gr1⁺ myeloid cells into tumours co-injected with Nlrp3^−/− NMFs as compared with WT fibroblasts (Fig. 4d). These results were confirmed by immunostaining of tumour tissue sections (Fig. 4e, f). Further analysis of the CD11b⁺Gr1⁺-infiltrating cells demonstrated that depletion of NLRP3 in CAFs-attenuated recruitment of the monocytic fraction of CD11b⁺Gr1⁺ cells (CD11b⁺Ly6C^highLy6G⁻) into mammary tumours (Fig. 4g, h). Thus, expression of NLRP3 in CAFs is important for tumour growth, and mediates the recruitment of CD11b⁺Gr1⁺ myeloid cells into the tumour microenvironment.

In order to further elucidate the contribution of CAF-derived NLRP3/IL-1β pathway to tumorigenesis in the MMTV-PyMT model, we utilised Met-1 cells, a PyMT-derived cell line syngeneic with the FVB/n background³³. The expression of IL-1β or NLRP3 was knocked down in mammary fibroblasts by two different clones of shRNA for Il1b or Nlrp3 (shIl1b, shNlrp3 NMFs: Supplementary Fig. 5a, b). Met-1 cells were orthotopically injected alone, or were admixed and co-injected with control mammary fibroblasts (shScramble NMFs), or with fibroblasts depleted of Il1b/Nlrp3 expression (Fig. 4i). Strikingly, while control mammary fibroblasts augmented tumour growth, genetic depletion of Nlrp3 or Il1b in injected fibroblasts significantly attenuated tumour growth and weight (Fig. 4j, k), suggesting that CAF-derived inflammasome is functionally important for tumour growth in vivo. Notably, depletion of Nlrp3 in fibroblasts resulted in attenuated expression of Il1b and vice versa (Supplementary Fig. 4c, d).

Similarly to tumours injected in Nlrp3^−/− mice, we observed no significant differences in collagen deposition (not shown), or the recruitment of total myeloid cells (CD11b⁺), and macrophages (CD11b⁺F480⁺), and a mild increase in CD3⁺ T cells (Supplementary Fig. 5e–i). However, in agreement with the experiments performed in Nlrp3^−/− mice, FACS analysis of immune cell infiltration into Met-1 tumours revealed that genetic depletion of inflammasome signalling in CAFs resulted in attenuated recruitment of CD11b⁺Gr1⁺ myeloid cells (Fig. 4l). Interestingly, additional analysis of the CD11b⁺Gr1⁺ infiltrating cells demonstrated that while in the AT3 tumours injected in Nlrp3^−/− mice depletion of inflammasome in CAFs resulted in reduced infiltration of the monocytic fraction of CD11b⁺Gr1⁺ cells, depletion of Il1b or Nlrp3 in CAFs in Met-1 tumours injected to WT mice attenuated recruitment of the granulocytic (CD11b⁺Ly6G⁺Ly6C^low) fraction of CD11b⁺Gr1⁺ cells (Fig. 4m, n). These differences in the effects of inflammasome depletion in CAFs suggest that the distinct genetic backgrounds of mice may affect the composition of immune cells in tumours.

We next hypothesised that CAF-derived IL-1β may affect the recruitment of myeloid cells into the tumour microenvironment via activation of NF-κB-related signalling, as previously shown^5,34. To test this hypothesis, mammary tumours were analysed for the expression of NF-κB downstream genes, known to be operative in the recruitment of myeloid cells, including Ccl3, Cxcl2, Il6, SPP1, IL-23 and TNFα^35,36,37,38. We found that tumours co-injected with CAFs in which Nlrp3 or Il1b were depleted had significantly downregulated expression of pro-inflammatory genes related to immune cell recruitment (Fig. 4o–r, Supplementary Fig. 5j,k). Taken together, these findings demonstrate a tumour-promoting role for CAF-derived NLRP3/IL-1β, associated with alterations of immune cell infiltration into mammary tumours.

CAF-derived IL-1β facilitates lung metastasis

To investigate whether CAF-derived NLRP3 inflammasome is functional in other breast carcinoma models, we performed orthotopic co-injections with 4T1 cells, a highly metastatic breast cancer cell line, which models human triple negative breast cancer³⁹. 4T1 cells were transduced with shRNA to knockdown the expression of IL-1β (Supplementary Fig. 6a), admixed with wild-type mammary fibroblasts or with ll1b^−/− fibroblasts isolated from mammary glands of ll1b^−/− mice, and injected into mammary glands of ll1b^−/− recipients (Fig. 5a). In this experimental setting, WT fibroblasts are the only source of IL-1β. Analysis of tumours indicated that while tumour growth was only slightly inhibited in tumours injected with ll1b^−/− fibroblasts (Fig. 5b), the tumour weights in this group were significantly smaller at end-stage as compared with tumours injected with WT fibroblasts (Fig. 5c). Moreover, analysis of lungs revealed a significant decrease in metastatic lesions in mice injected with Il1b^−/− fibroblasts (Fig. 5d, e), suggesting that CAFs at the primary tumour affect the formation of distant metastases. Interestingly, metastatic lesions forming in these experiments were micro-metastases that could not be detected by CT scanning. We hypothesised that the total depletion of host IL-1β in the recipient mice may have hindered macro-metastases formation. Indeed, when we performed these experiments using WT mice as tumour recipients, 4T1 tumour cells formed spontaneous macro-metastases in lungs. Importantly, although primary tumours grew at similar rates (Supplementary Fig. 6b), mice injected with Il1b^−/− fibroblasts had a significantly smaller lung metastatic burden compared to mice injected with WT fibroblasts (Fig. 5f–h), indicating that CAF-derived IL-1β contributes to breast cancer metastasis even in an IL-1β proficient microenvironment.

We therefore set out to elucidate the mechanism by which CAF-derived IL-1β at the primary tumour site enhances metastases formation. Initially, we analysed the immune cell milieu in primary tumours as well as in lung metastases. Similarly to the PyMT-derived models, the most significant changes induced by CAF-derived IL-1β were in the recruitment of CD11b⁺Gr1⁺ cells. Interestingly, while in the primary tumour knockout of CAF-derived IL-1β resulted in attenuated recruitment of the granulocytic fraction (CD11b⁺Ly6G⁺Ly6C^low), in the metastatic microenvironment CAF-derived IL-1β was important for the recruitment of the monocytic fraction (CD11b⁺Ly6C^highLy6G⁻) (Fig. 5i–l, Supplementary Fig. 6c–k). These results are in agreement with our findings in the PyMT-derived models, confirming that distinct genetic backgrounds and organ microenvironments drive specific compositions of the functional immune cells recruited.

Since the enhanced recruitment of CD11b⁺Gr1⁺ myeloid cells was consistent across all the breast cancer models we studied, we next set out to functionally characterise these cells. To that end, we isolated the granulocytic (CD11b⁺Ly6G⁺Ly6C^low) and monocytic (CD11b⁺Ly6C^highLy6G⁻) fractions of CD11b⁺Gr1⁺ cells from mammary tumours and lung metastases. Gene expression analysis indicated that the CD11b⁺Gr1⁺ cells isolated from mammary tumours exhibited a typical gene signature of MDSCs, including upregulation of Arginase, iNOS and PD-L1. Notably, this was a tumour-specific phenotype, as CD11b⁺Gr1⁺ cells isolated from the spleen of the same mice did not have an immunosuppressive gene expression profile (Supplementary Fig. 7a–f). Moreover, T cell suppression assay with tumour-isolated CD11b⁺Gr1⁺ cells confirmed their immunosuppressive activity, suggesting that they are MDSCs (Supplementary Fig. 7m).

Seeking to get further mechanistic insight on the role of CAF-derived IL-1β in facilitating metastatic dissemination, we investigated its effect on tumour ECs. IL-1β is a key mediator of inflammation and exerts its pro-inflammatory functions, in part, by up-regulating the expression of adhesion molecules in ECs^40,41, thus enabling immune cell extravasation into inflamed tissues. In vitro analysis indicated that conditioned medium (CM) from DAMP-activated WT mammary fibroblasts but not from DAMP-activated Il1b^−/− fibroblasts, upregulated the expression of Selp (Selectin P) and Vcam1 in ECs (Fig. 6a, b). Importantly, these adhesion molecules were shown to facilitate cancer cell intravasation and extravasation by enhancing adhesion and transmigration of cancer cells through EC monolayers^42,43,44. Moreover, trans-endothelial migration of breast cancer cells was attenuated when ECs were incubated with CM of Il1b^−/− mammary fibroblasts as compared with CM from WT fibroblasts (Fig. 6c, d). We therefore hypothesised that IL-1β secretion from activated mammary CAFs upregulated the expression of adhesion molecules on tumour ECs in vivo, and thus facilitated cancer cell migration across the blood vessel endothelium. To test this hypothesis, we isolated ECs (CD31⁺CD45⁻EpCAM⁻) from mammary tumours and lung metastases and analysed the expression of adhesion molecules. Analysis of the results revealed that genetic depletion of Il1b in fibroblasts in the primary tumour led to a significant decrease in the expression of E-Selectin, P-Selectin, ICAM-1 and VCAM-1 and in ECs sorted from primary tumours (Fig. 6e). Strikingly, the expression of adhesion molecules on lung ECs isolated from tumour-bearing mice was also attenuated in mice injected with Il1b^−/− fibroblasts (Fig. 6f), suggesting that CAF-derived IL-1β has systemic effects that may support metastasis.

IL-1β was previously shown to promote tumour cell invasion and metastasis by modulating the expression of matrix metalloproteinases in cancer cells, specifically MMP1, MMP3, and MMP10⁴⁵. Therefore, we analysed whether CAF-derived IL-1β has a role in affecting tumour cell invasiveness. Indeed, we found that 4T1 cells co-injected with Il1b^−/− fibroblasts expressed lower levels of Mmp1 and Mmp3 compared to cells co-injected with WT fibroblasts (Fig. 6g), suggesting that in addition to its effect on immune cell recruitment and on ECs, CAF-derived IL-1β enhances the invasiveness of breast cancer cells by upregulating their expression of MMPs.

Taken together, these findings suggest that CAF-secreted IL-1β facilitates breast cancer metastasis to lungs by multiple routes, including modulating the immune cell milieu at the metastatic site, and by upregulating the expression of adhesion molecules at the primary tumour, as well as the metastatic site, which may enhance tumour cell invasion and dissemination.

Discussion

In this study, we uncovered a functional role for CAFs that links tissue damage with tumour-promoting inflammation. We showed that activation of the NLRP3 inflammasome pathway in CAFs, a physiological sensing mechanism of tissue damage, is hijacked in breast cancer to facilitate tumour progression and metastasis. Moreover, our data suggest that the mechanism by which CAF-derived NLRP3/IL-1β facilitate tumour growth and metastasis is by altering the immune cell milieu towards a tumour-tolerating phenotype, and by enhancing endothelial cell adhesiveness and cancer cell invasiveness (Fig. 7).

Activation of the NLRP3 inflammasome in fibroblasts was previously shown in pathologies associated with tissue damage and necrosis that trigger an intense inflammatory response, such as myocardial dysfunction^18,22,23, oral lesions²⁴, and fibrosis¹⁹. However, while fibroblasts are known to be mediators of tumour-promoting inflammation in cancer⁶, they were not previously implicated in sensing tissue damage by pattern recognition via the inflammasome. We found that NMFs can respond to known DAMPs by upregulating the expression of Nlrp3, cleavage of pro-caspase-1 to its active form, and secretion of IL-1β. Importantly, we show that tumour-derived necrotic fluid was among the most potent inducers of the inflammasome in fibroblasts, further implicating tumour-associated tissue damage as a trigger of the inflammasome in CAFs. Moreover, our findings that fibroblasts in cutaneous wounds activate the inflammasome pathway suggest that sensing of DAMPs is a physiological feature of CAFs, as part of their role as sentinels of tissue damage and mediators of repair. In tumours, the chronic activation of these pathways results in sustained inflammation, and further tissue damage.

The NF-κB pathway, which regulates the transcription of IL-1β, was previously shown to be upregulated in CAFs and to mediate their pro-inflammatory functions in multiple cancers^5,46. Here we expand these observations and demonstrate that the NLRP3 inflammasome pathway, which regulates the maturation and secretion of IL-1β is activated in CAFs in response to tissue damage, implicating a mechanism by which CAFs mediate tumour-promoting inflammation. Moreover, we show that physiological sensing of tissue damage by fibroblasts results in activation of the NLRP3 inflammasome, as well as an NF-κB-related pro-inflammatory gene signature, thus integrating both pathways. Furthermore, expression analysis of NF-κB-regulated genes in tumours in which NLRP3 or IL-1β were manipulated in fibroblasts, indicated that the inflammasome pathway in CAFs is important for tumour expression of multiple cytokines and chemokines related to the recruitment of immune cells, including MDSCs. Thus, sensing of tissue damage by CAFs results in instigation of pro-inflammatory pathways in mammary tumours, contributing to the formation of an immunosuppressed microenvironment.

Interestingly, Il18, which is also processed by the NLRP3 inflammasome, was downregulated in our transcriptome analysis of mamamry CAFs. This is in agreement with the pro-tumourigenic effects we showed for CAF-derived inflammasome signalling, since IL-18 was previously suggested to have anti-tumourigenic functions⁴⁷. The balance between IL-1β and IL-18 may be cell-type, tissue, and context dependent, providing a possible explanation for the controversial role of the NLRP3 inflammasome in cancer.

By specifically targeting the expression of NLRP3 and IL-1β in mammary fibroblasts, we showed in multiple mouse models that CAF-derived inflammasome is functionally important for facilitating tumour growth. Importantly, while the delay in tumour growth was not striking, it was nevertheless consistent and significant, even in a setting of wild type recipients, in which NLRP3/IL-1β in the host microenvironment are intact, further emphasising the functional importance of CAF-derived inflammasome in supporting tumour growth.

The expression of IL-1β is elevated in a variety of cancers, including melanoma and breast cancer^27,48,49. Moreover, mammary tumour growth was attenuated in Nlrp3^−/− and Casp1^−/− mice⁵⁰, implicating the NLRP3 inflammasome in facilitating breast cancer. Our data showing that fibroblasts can function as sensors of tissue damage, combined with specifically targeting the inflammasome pathway in fibroblasts demonstrate that activation of IL-1β in CAFs forms a functional link between tumour-associated tissue damage and CAF-mediated tumour-promoting inflammation.

Notably, we have elucidated the role of CAF-derived inflammasome signalling by specifically targeting the expression of NLRP3 and IL-1β in mammary fibroblasts. While beyond the scope of the current study, future generation of mice in which IL-1β will be conditionally ablated in fibroblasts will enable temporal dissection of its role during tumour progression and metastasis.

Importantly, in addition to promoting tumour growth at the primary tumour site, we found that depletion of CAF-derived IL-1β resulted in inhibition of lung metastasis. IL-1β was previously implicated in promoting metastasis of breast cancer to bone⁵¹ and in supporting lung metastasis of melanoma and breast cancer, via recruitment and activation of γ/δ T cells^52,53. Other studies suggested that IL-1β affects the mesenchymal transition and invasive behaviour of tumour cells^27,54. Our findings suggest a fibroblast-driven mechanism wherby IL-1β secreted from mammary fibroblasts, affects the expression of adhesion molecules on ECs at the primary tumour site, as well as in the lungs, thus facilitating the extravasation of tumour cells. Moreover, while, IL-1β knockout in fibroblasts at the primary tumour in the aggressive 4T1 triple-negative model was not sufficient to delay primary tumour growth, it was nevertheless associated with reduced infiltration of MDSCs in lungs, suggesting that signalling from the primary tumours has systemic effects on immune cell recruitment at the metastatic microenvironment. Moreover, CAF-derived IL-1β also upregulated the expression of metalloproteases in tumour cells, potentially enhancing their invasiveness. Thus, the physiological pro-inflammatory functions of IL-1β are activated in breast CAFs and facilitate tumour metastasis.

Analysis of immune cell infiltration in tumours injected with WT vs. inflammasome-deficient fibroblasts indicated that attenuated tumour growth and metastasis in mice in which NLRP3/IL-1β were knocked down, was associated with reduced recruitment of CD11b⁺Gr1⁺ myeloid cells. Interestingly, while this finding was consistent across all the models and genetic backgrounds studied, the changes in recruitment of the granulocytic (Ly6G⁺Ly6C^low) or monocytic (Ly6C⁺ Ly6G⁻) subpopulations to mammary tumours were distinct, depending on the organ (mammary gland vs. lungs) and on the model in which CAFs were manipulated. This observation is consistent with a recent study showing that genetic composition of tumours affects the immune landscape⁵⁵. Moreover, these findings suggest that functional mechanisms in the tumour microenvironment are both plastic and robust—while the specific subpopulations of recruited cells may be distinct, depending on the cancer type, organ, or genetic background, cancer-associated immune cells perform similar tumour-promoting tasks.

Importantly, we analysed CD11b⁺Gr1⁺ cells isolated from tumours and found that they exhibited a typical gene signature of MDSCs, and were functional in suppressing T cell proliferation, confirming their immunosuppressive activity. Thus, CAF-derived IL-1β drives an immunosuppressive phenotype. CAFs were previously reported in several studies to drive an immunosuppressive microenvironment in tumours by affecting the reprogramming of tumour-associated macrophages to an M2-like phenotype via secretion of Chi3L1⁹, restricting the accumulation of T cells in tumours^56,57, modulating T cell immunity towards Th1 function⁵⁸, and by direct antigen-dependent killing of CD8⁺ T cells⁵⁹. Our findings implicate activation of the NLRP3 inflammasome in CAFs in promoting the recruitment of MDSCs to breast tumours and to lung metastases, thus supporting the formation of an immunosuppressed microenvironment.

Our data suggest that targeting CAF-derived NLRP3/IL-1β pathway may be a beneficial therapeutic approach for breast cancer treatment. However, the function of the NLRP3/IL-1β pathway in tumourigenesis and metastasis was previously documented in immune cells with contradicting observations in different cancer types^{28,60,61,62,63,64}. Targeting IL-1β was suggested to be a promising approach in cancer therapeutics⁶⁵, and our data suggest that this approach may be beneficial in blocking breast cancer metastasis. Nevertheless, taken together with recent reports that the effect of targeting CAFs may depend on tumour type and on the experimental systems that were used^46,66, future studies should be performed to carefully examine the benefit of targeting CAF-derived IL-1β in breast cancer. The indecisive role of the NLRP3 inflammasome in cancer is yet another reminder that complexity and context-dependent functions are hallmarks of the tumour microenvironment, and should therefore be carefully considered when designing therapeutic strategies.

In summary, our study reveals tumour-promoting functions of CAFs in sensing tumour-induced tissue damage, leading to activation of the NLRP3 inflammasome pathway and secretion of IL-1β, which promotes tumour progression and lung metastasis. These findings encourage the design of pre-clinical and clinical studies to examine the benefits of targeting the inflammasome pathway in breast cancer, which may be effective in blocking metastatic relapse.

Methods

Mouse strains

All animals were maintained within the Tel Aviv University Specific Pathogen Free (SPF) Facility. All Animal procedures included in the study were granted ethical approval by the Tel Aviv University Institutional Animal Care and Use Committee. Animals used in experiments were not randomised, and the investigators were not blinded to allocation during experiments and outcome analysis. No statistical method was used to pre-determine sample size, but the sample size was chosen to be adequate to receive significant results as determined by preliminary experiments. Mice that died for unknown reasons were excluded from analysis. The FVB/N-Tg MMTV-PyMT 634Mul/J transgenic mice were a gift from Dr. Lisa Coussens. Heterozygote MMTV-PyMT mice are routinely bred with non-transgenic FVB/n females. Non-transgenic littermates were used as normal controls. The Nlrp3^−/− (B6N.129-Nlrp3tm2Hhf/J) mice were purchased from Jackson Laboratory. Non-transgenic FVB/n mice, Balb/c mice, and C57BL/6J mice were purchased from Harlan, Israel. Mice were used for experiments at 6–9 weeks of age, unless otherwise stated.

Cell lines

Met-1 cells were a gift from Dr. Jeffrey Pollard. The 4T1 and AT3 cell lines were obtained from the laboratory of Dr. Scott Abrams, and received from Dr. Zvi Granot. C166 cells were purchased from ATCC (ATCC^® CRL-2581™). All cell lines were routinely tested for mycoplasma using the EZ-PCR-Mycoplasma test kit (Biological Industries; 20-700-20). The cell lines were not authenticated.

To create shIl1b Met-1 cells, shIl1b 4T1 cells, and shNlrp3 AT3 cells, cells were infected with lentivirus-expressing shRNA for mouse Il1b (OpenBiosystems, RMM4534-EG16176) or Nlrp3 (OpenBiosystems, RMM4534-EG216799), or with control vector containing a scrambled shRNA sequence (OpenBiosystems, RMM4534-EG13131).

Primary mammary fibroblasts

NMFs were prepared from mammary glands isolated from 8 weeks old female mice. Mammary tissues were harvested, washed in PBS, minced thoroughly with scissors, and incubated for 30 min with DMEM supplemented with 0.1% collagenase II (Worthington, LS4176) and 0.1% collagenase IV (Worthington, LS004177) on stir plate in 37 °C water bath²¹. Cells were seeded on six-well plates that were pre-coated with rat-tail collagen (Corning; 354236) and grown in DMEM media supplemented with 10% FCS (Biological industries; 01-055-1A, 04-001-1A), 1% penicillin–streptomycin (Biological industries; 03-031-1B) and 1% sodium-pyruvate (Biological industries; 03-042-1B), and maintained at 37 °C with 5% CO₂. All experiments were performed with low passage (p2-4) fibroblasts.

Preparation of shIl1b NMFs and shScramble NMFs was achieved by infecting the cells with lentivirus-expressing shRNA for mouse Il1b or with control vector containing a scrambled shRNA sequence (OpenBiosystems).

Viral infections

Viral production was carried out using PolyJet-mediated transfection (SignaGen Laboratories) of HEK293T according to manufacturer’s instructions. Virus was concentrated by ultracentrifugation, and added to cells with polybrene (8 µg/mL). Infected cells were selected using Puromycin (3 µg/mL).

Conditioned media

Preparation of fibroblast-conditioned media (CM) was performed by incubating 80% confluent fibroblasts grown on collagen-coated 100 mm plastic dishes with 10 mL serum-free DMEM for 24 h. The medium was collected, filtered through 20 μm filters, flash-frozen in liquid nitrogen, and stored at −80 °C for later use.

Transendothelial migration assay

6.5 mm Transwell plates with 8.0 μm pore polycarbonate membrane inserts (Sigma Aldrich, CLS3422) were coated with 10 μg/mL fibronectin in PBS for 12 h at 4 °C. C166 ECs (2 × 10⁵) were trypsinized and suspended in control media, WT fibroblast CM, Il1b^−/− fibroblast CM, or medium containing 10 ng/mL recombinant IL-1β, and seeded on the upper chamber for 8 h to allow the formation of a monolayer. Inserts were then washed in PBS, and mCherry-labelled Met-1 cells (5 × 10⁴) were plated onto the upper chamber on top of the endothelial monolayer. Following incubation for 16 h, the upper side of the membrane was scraped gently with cotton swabs to remove non-invading cells. Membranes were fixed with 1% PFA and mounted on slides using DAPI Fluoromount-G (SouthernBiotech, 0100-20). Transendothelial migrated tumour cells were imaged using Leica DM4000B microscope and digital camera (Leica DFC 360FX), and quantified with ImageJ software. In all assays, analyses included five fields per insert. Experiments were performed in duplicates.

Gene expression profiling

RNA was purified from FACS sorted fibroblasts isolated from MMTV-PyMT tumours or mammary glands of FVB/n mice using Nucleuspin RNA II Kit (MACHERY-NAGEL). RNA concentration and purity was analysed using NanoDrop 2000c Spectrophotometer. RNA was converted to cDNA using iScriptTM reverse transcriptase (Bio-Rad). The cDNA was hybridised with Affymetrix GeneChip Mouse Gene 1.0 ST Arrays (Affymetrix, Santa Clara, CA, USA).

Bioinformatics analysis

Data analysis was performed on CEL files using Partek Genomics Suite v. 6.5 (Partek, St. Louis, MO, USA). Three replicates were used for all conditions except normal which was in duplicates. Data were normalised and summarised with the robust multi-average method followed by one-way analysis of variance (ANOVA)⁶⁷. Genes of interest that were differentially expressed with p < 0.05 and fold-change difference cutoff > |1.5| were identified. Principal component analysis and hierarchical cluster analysis (Pearson’s dissimilarity correlation and average linkage method) were performed using Partek Genomics Suite software. Functional analysis was performed using David and WebGestalt analysis platforms. Functional analysis of differentially expressed genes was performed using DAVID⁶⁸ and Gorilla⁶⁹ tools. Protein–protein interactions and function enrichment were obtained using STRING database⁷⁰.

Quantitative real-time PCR

Total RNA was isolated from cell pellets or cell monolayers using EZ-RNA II Kit according to manufacturer’s instructions (Biological Industries, 20-410-100). RNA concentration and purity were analysed using NanoDrop 2000c spectrophotometer. cDNA synthesis was conducted using qScriptTM cDNA Synthesis Kit (Quanta Biosciences, 95047-025). Quantitative real-time PCRs (qRT-PCR) for mouse genes were conducted using SYBR^® Green FastMIX^® (Quanta Biosciences, P/N84071) in a StepOne™ Real-Time PCR System. All experiments were performed in triplicates. RQ (2^−ΔCt) was calculated. Relative expression was normalised to GAPDH. All primers and oligonucleotide sequences used are shown in Supplementary Table 1.

Western blots

Lysates were prepared from cell pellets in RIPA lysis buffer (Sigma-Aldrich, R0278). Protein determination was performed with Pierce BCA Protein Assay Kit (Thermo Fisher Scientific, 23227). Proteins from lysates were separated on Bis–Tris 12.5% acrylamide gels. Gels were transferred to nitrocellulose membranes (BioRad) and probed with rabbit anti-mouse Caspase-1 antibody (Santa Cruz, sc-514, 1 µg/ml, diluted 1:200) in 4 °C overnight, followed by incubation with HRP-conjugated secondary antibody (Jackson ImmunoResearch Laboratories, 111-035-144/062, 80 ng/ml) for 2 h at room temperature. Following membrane stripping, membranes were incubated with anti-mouse Gasdermin D (Abcam, ab209845, diluted 1:500) or with anti-mouse β-actin (Cell Signalling CST#4967, diluted 1:2000).

Enzyme-linked immunosorbent assay (ELISA)

To detect secreted IL-1β in conditioned media of cultured fibroblasts, the media was concentrated using Amicon Ultra-15 Centrifugal Filter Units with Ultracel-10 membrane (Merck Millipore, UFC901024) and ELISA was performed using Mouse IL-1 beta/IL-1F2 Quantikine ELISA Kit, according to manufacturer’s instructions (R&D Systems, MLB00C).

Detection of DAMPs in necrotic fluid

Necrotic fluid was aspirated out of late-stage PyMT tumours and centrifuged at 2000 × g for 10 min. Assessment of hydrogen peroxide or uric acid content was performed using detection kits (BioVision, K265, K608).

Orthotopic tumours transplantations

Orthotopic intra-mammary injections: tumour cells (1 × 10⁵ Met-1 cells, AT3 cells, or 4T1 cells) were mixed with primary mammary fibroblasts (3 × 10⁵ cells) and then admixed 1:1 with matrigel (BD Biosciences, 354230), and injected into the nipple of the right inguinal mammary glands of 8 weeks old female mice. Tumours were measured every 2–3 days with a calliper, and tumour volumes were calculated using the formula X² × Y × 0.52 (X = smaller diameter, Y = larger diameter).

Excisional wound-healing assay

The dorsal skin of 8 weeks old FVB/n mice was shaved and cleaned with 70% ethanol under anaesthesia, and the skin was incised up to the level of the subcutaneous adipose tissue with a 5 mm Acu-Punch biopsy tool. Five days later, the wounded skin and control skin from the same animal were excised and digested into single cell suspension⁵. Briefly, wounded and control skin were washed in PBS, minced thoroughly with scissors, and incubated for 15 min with DMEM supplemented with 0.1% collagenase II (Worthington, LS4176) and 0.1% collagenase IV (Worthington, LS004177) on stir plate in 37 °C water bath.

Mouse samples tissue preparation

Mammary glands, tumours, and lungs were shortly washed in PBS. To prepare formalin-fixed paraffin-embedded (FFPE) blocks, tissues were incubated for 8–12 h in 10% formalin (Electron Microscopy Sciences) and transferred through ascending dilutions of ethanol before embedment in paraffin. In order to prepare fresh-frozen blocks, tissues were embedded in Optimal Cutting Temperature compound (O.C.T, Tissue-Tek) on dry ice. Serial sections were obtained to ensure equal sampling of the examined specimens (5–10 μm trimming).

Quantification of metastatic load at the lungs

Quantification of lung metastatic load was performed by analysing the number of metastatic nodules per section or by evaluating the metastatic area per section using ImageJ. Tissue sections (10 µm) were obtained by serial cutting of lungs. At least 20 sections per lung were analysed. Results are represented as the average number of metastatic nodules per lung (at least 9 mice/group) or as the average metastatic area per lung (10 mice/group).

Immunohistochemistry

Paraffin-embedded tissue sections were deparaffinized, rehydrated, and incubated with peroxidase-blocking solution (Dako, S2001) for 10 min to quench endogenous peroxidase activity. Antigen retrieval was carried out by microwave heating in a low pH target retrieval solution (Dako) for 15 min. Permeabilization was achieved by incubation with 0.25% Triton-X in PBS for 10 min. Tissue sections were incubated overnight at 4 °C with anti-NLRP3 antibody (Proteintech, 19771-1-AP, diluted 1:250), followed by incubation with biotinylated secondary antibody for 2 h at room temperature (Jackson ImmunoResearch laboratories; 711-065-152, diluted 1:400). Staining was developed using 3,3′-diaminobenzidine (Sigma, D4168) and counterstained with Mayer Hematoxylin (Electron Microscopy Sciences). Images were obtained at ×20 or ×40 magnification using Leica DM4000B microscope and digital camera (Leica DFC295).

Immunofluorescence

Tissue sections were incubated overnight at 4 °C with the following anti-mouse antibodies: Ly-6G/Ly-6C (Gr-1)-APC/Cy7 (Biolegend, 108424), Meca32 (BD, 550563). For Meca32 staining an Alexa Fluor 488-conjugated Donkey Anti-Rat (Jackson ImmunoResearch laboratories; 712-546-153) was applied for 1 h at RT. Sections were washed with acidified water, and mounted with DAPI Fluoromount-G (Southern Biotech; 0100-20). Images were obtained at ×20 or ×40 magnification using Leica DM4000B microscope and digital camera (Leica DFC 360FX). Brightness and contrast were adjusted equally in all images presented.

Fluorescence-activated cell sorting (FACS) for microarrays analysis and validation

Mammary tumours isolated from MMTV-PyMT female mice or normal mammary tissue isolated from 8 weeks old FVB/n female mice were disassociated into single cell suspensions and stained with anti-CD140a-PE (e-Bioscience, 12-1401-81, diluted 1:50) and anti-F4/80-FITC (Cederlane, CL8940F diluted 1:100). DAPI (Molecular probes; D3571, diluted 1:2000) was used to exclude dead cells. For validations, the single cell suspensions were incubated with anti-CD140a-PE, anti-CD45-FITC (eBioscience, 11-0451-81, diluted 1:200), and anti-EpCAM-APC (eBioscience, 17-5791-80, diluted 1:100), and fibroblasts were isolated as CD140a⁺ (PDGFRα⁺) CD45⁻ EpCAM⁻ cells. DAPI was used to exclude dead cells. Sorting was performed using BD FACS Aria II.

FACS of ECs or myeloid cells

Orthotopic 4T1 tumours or lungs of 4T1-tumour-bearing mice were isolated. Disassociation of tumours was performed as described²¹. For dissociation of lung tissue, lungs were minced into small pieces and incubated for 45 min with DMEM supplemented with 0.1% collagenase II (Worthington, LS4176) and 0.1% Dispase II (Sigma-Aldrich, 4942078001). Single cell suspensions were incubated with anti-mouse CD16/CD32 (eBioscience, 16-0161-82, diluted 1:50) for 15 min to reduce non-specific staining, followed by staining with the following anti-mouse antibodies: CD31 (PECAM-1)-FITC (eBioscience,11-0311-82, diluted 1:50), CD45-PE/Cy7 (eBioscience, 25-0451-82, diluted 1:200), and EpCAM-APC (eBioscience, 17-5791-80, diluted 1:100). ECs were isolated as CD31⁺CD45⁻EpCAM⁻ cells. For myeloid cell isolation, tissues were disassociated into single cells suspensions as described above, and stained with the following anti-mouse antibodies: CD45-PE/Cy7 (eBioscience, 25-0451-82, diluted 1:200), CD11b-PerCP/Cy5.5 (eBioscience; 45-0112-82, diluted 1:100), Ly-6G-APC (Biolegend, 127614, diluted 1:200) Ly-6C-FITC (Biolegend, 128006, diluted 1:200). DAPI was used to exclude dead cells. Sorting was performed using BD FACS Aria II.

Intracellular staining of NLRP3

Mammary tumours isolated from MMTV-PyMT female mice or normal mammary tissue isolated from 8 weeks old FVB/n female mice were disassociated into single cell suspensions and stained with anti CD140a-PE (eBioscience, 12-1401-81, diluted 1:50), anti CD45-FITC (eBioscience, 11-0451-81, diluted 1:100), and anti EpCAM-PE/Cy7 (Biolegend, 118216, diluted 1:100). The intracellular staining for NLRP3 was performed with APC-conjugated antibody (R&D, IC7578A, diluted 1:10) following fixation and permeabilization of cells using BD Cytofix/Cytoperm kit (BD Bioscience, 554714) according to the manufacturer’s protocol.

Flow cytometry analysis of immune cells in injected tumours

Orthotopic Met-1 or AT3 tumours were isolated, dissociated into single cell suspension, and incubated for 15 min with anti-mouse CD16/CD32 to reduce non-specific staining. Infiltration of immune cells into tumours was analysed by staining with the following anti-mouse antibodies: CD45-PE/Cy7 (eBioscience, 25-0451-82, diluted 1:200), CD45-BV570 (Biolegend, 103136, diluted 1:100), CD3e-FITC (eBioscience, 14-0031-82, diluted 1:100), CD4-APC/Cy7 (Biolegend, 100414, diluted 1:100), anti-CD8a-APC (eBioscience, 17-0081-82, diluted 1:100), CD11b-PerCP/Cy5.5 (eBioscience; 45-0112-82, diluted 1:100), F4/80-APC (eBioscience, 17-4801-82, diluted 1:50), Ly-6G/Ly-6C (Gr-1)-APC/Cy7 (Biolegend, 108424, diluted 1:100), Ly-6G-APC (Biolegend, 127614, diluted 1:200), Ly-6C-FITC (Biolegend, 128006, diluted 1:200), Ly-6C-BV605 (Biolegend, 128036, diluted 1:200). DAPI was used to exclude dead cells. Acquisition was performed with Beckman-Coulter Gallios flow cytometer and data analysis was done with FlowJo software (version X.0.7).

T cell suppression assay

Splenocytes were isolated from the spleen of Il1b^−/− mice, and labelled with CFSE (5 M, Biolegend, 423801). 1 × 10⁵ cells in 100 μL per well were plated in a 96-well plate pre-coated with anti-mouse CD3ε (1 μg/mL, SouthernBiotech, 1530-01) and anti-CD28 (5 μg/mL, SouthernBiotech, 1610-01).

CD11b⁺Gr1⁺ cells were isolated using FACS and added to the stimulated T cells (5 × 10⁴). Dilution of CFSE was evaluated 3 days later by flow cytometry.

Stromal mRNA profiling of inflammasome-related genes

Stromal gene expression-profiling data for 53 breast cancers were obtained from Gene Expression Omnibus (GEO) (GSE9014). Replicate samples were averaged prior to analysis.

Human NLRP3 staining

Publically available IHC staining (The Human Protein Atlas²⁶) of breast cancer and normal tissues stained with anti-NLRP3 antibody were analysed (https://www.proteinatlas.org/ENSG00000162711-NLRP3/pathology/tissue/breast+ cancer#img, HPA012878 antibody). Breast cancer tissue specimens from surgical pathology included both ductal and lobular cancers. We analysed the expression of NLRP3 in fibroblasts only in the ductal subtype. For fibroblasts staining quantification, each image was divided into three fields and assessed by an expert pathologist (L.L.T.). Abundance was defined as the percentage of stained fibroblasts out of the total fibroblasts per field. Staining intensity of fibroblasts in each field was evaluated and rated between 1 and 3 (1—low, 2—intemediate, and 3—high). In total, two normal samples and eight IDC samples were analysed.

Human IL-1β staining

Tissue preparation and processing was performed by the Pathology Departments of the Tel Aviv Sourasky Medical Center and Meir Medical Center²⁷. 5 μM-thick serial sections were prepared from paraffin blocks obtained at time of diagnosis. Heat-induced epitope retrieval was performed by immersing the sections in citrate buffer at 95–100 °C for 22 min. Sections were blocked with a solution containing 0.05% sodium azide and 0.05% Tween 20 in PBS. Next, the sections were incubated with anti-human IL-1β antibody (Exalpha, Watertown, MA; Cat# L140M) for 1 h at room temperature, followed by incubation with a biotinylated secondary antibody for 10 min. Benign, DCIS, and IDC tissue sections stained for IL-1β were examined by an expert pathologist (L.L.T.) for the staining intensity of fibroblasts and the abundance of stained fibroblasts in the tissue and rated between 1 and 3 (1—low, 2—intemediate, and 3—high). Thirty-three benign samples, 19 DCIS samples, and 30 IDC samples. From the IDC samples analysed, 25 were from the luminal subtype (distinction between luminal-A and luminal-B subtypes was not available), and five were triple negative. Twenty-three of the IDC patients were treated with chemotherapy (1), radiotherapy (16), or both (6). Statistical significance between group means was calculated using Kruskal–Wallis test followed by Dunn’s multiple comparisons test.

Statistical analysis

Statistical analyses were performed using GraphPad Prism software. Standard parametric two-tailed t-tests were applied and standard errors were calculated for each data set with n > 2. For multiple comparisons of parametric data, the one-way ANOVA test followed by Tukey’s multiple comparisons test were used. Significance between non-parametric data was calculated using the Kruskal–Wallis test. p-value of < 0.05 was considered statistically significant for all data sets. Bar graphs represent mean and standard deviation (SD) or mean and standard error of the mean (SEM) across multiple independent experimental repeats or across technical repeats, as stated.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The microarray data in support of this study have been deposited in the Gene Expression Omnibus (GEO) database under the accession code GSE129189. The source data underlying Figs. 1–6 and Supplementary Figs. 2–7 are provided as a Source Data file. All the other 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. A reporting summary for this article is available as a Supplementary Information file.

References

Quail, D. F. & Joyce, J. A. Microenvironmental regulation of tumor progression and metastasis. Nat. Med. 19, 1423–1437 (2013).
Article CAS Google Scholar
Liu, L. et al. Stromal myofibroblasts are associated with poor prognosis in solid cancers: a meta-analysis of published studies. PLoS ONE 11, e0159947 (2016).
Article Google Scholar
Gascard, P. & Tlsty, T. D. Carcinoma-associated fibroblasts: orchestrating the composition of malignancy. Genes Dev. 30, 1002–1019 (2016).
Article CAS Google Scholar
Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell 144, 646–674 (2011).
Article CAS Google Scholar
Erez, N., Truitt, M., Olson, P., Arron, S. T. & Hanahan, D. Cancer-associated fibroblasts are activated in incipient neoplasia to orchestrate tumor-promoting inflammation in an NF-kappaB-dependent manner. Cancer Cell 17, 135–147 (2010).
Article CAS Google Scholar
Servais, C. & Erez, N. From sentinel cells to inflammatory culprits: cancer-associated fibroblasts in tumour-related inflammation. J. Pathol. 229, 198–207 (2013).
Article CAS Google Scholar
Sharon, Y. et al. Tumor-derived osteopontin reprograms normal mammary fibroblasts to promote inflammation and tumor growth in breast cancer. Cancer Res. 75, 963–973 (2015).
Article CAS Google Scholar
Kalluri, R. The biology and function of fibroblasts in cancer. Nat. Rev. Cancer 16, 582–598 (2016).
Article CAS Google Scholar
Cohen, N. et al. Fibroblasts drive an immunosuppressive and growth-promoting microenvironment in breast cancer via secretion of Chitinase 3-like 1. Oncogene 36, 4457–4468 (2017).
Article CAS Google Scholar
Franchi, L., Munoz-Planillo, R. & Nunez, G. Sensing and reacting to microbes through the inflammasomes. Nat. Immunol. 13, 325–332 (2012).
Article CAS Google Scholar
Henao-Mejia, J., Elinav, E., Strowig, T. & Flavell, R. A. Inflammasomes: far beyond inflammation. Nat. Immunol. 13, 321–324 (2012).
Article CAS Google Scholar
Cassel, S. L. & Sutterwala, F. S. Sterile inflammatory responses mediated by the NLRP3 inflammasome. Eur. J. Immunol. 40, 607–611 (2010).
Article CAS Google Scholar
Vande Walle, L. et al. Negative regulation of the NLRP3 inflammasome by A20 protects against arthritis. Nature 512, 69–73 (2014).
Article ADS Google Scholar
Artlett, C. M. et al. The inflammasome activating caspase 1 mediates fibrosis and myofibroblast differentiation in systemic sclerosis. Arthritis Rheum. 63, 3563–3574 (2011).
Article CAS Google Scholar
Heneka, M. T. et al. NLRP3 is activated in Alzheimer’s disease and contributes to pathology in APP/PS1 mice. Nature 493, 674–678 (2013).
Article ADS CAS Google Scholar
Bruchard, M. et al. Chemotherapy-triggered cathepsin B release in myeloid-derived suppressor cells activates the Nlrp3 inflammasome and promotes tumor growth. Nat. Med. 19, 57–64 (2013).
Article CAS Google Scholar
Terlizzi, M., Casolaro, V., Pinto, A. & Sorrentino, R. Inflammasome: cancer’s friend or foe? Pharmacol. Ther. 143, 24–33 (2014).
Article CAS Google Scholar
Kawaguchi, M. et al. Inflammasome activation of cardiac fibroblasts is essential for myocardial ischemia/reperfusion injury. Circulation 123, 594–604 (2011).
Article CAS Google Scholar
Artlett, C. M. The role of the NLRP3 inflammasome in fibrosis. Open Rheumatol. J. 6, 80–86 (2012).
Article CAS Google Scholar
Lin, E. Y. et al. Progression to malignancy in the polyoma middle T oncoprotein mouse breast cancer model provides a reliable model for human diseases. Am. J. Pathol. 163, 2113–2126 (2003).
Article Google Scholar
Sharon, Y., Alon, L., Glanz, S., Servais, C. & Erez, N. Isolation of normal and cancer-associated fibroblasts from fresh tissues by fluorescence activated cell sorting (FACS). J. Visualized Exp. e4425, https://doi.org/10.3791/4425 (2013).
Sandanger, O. et al. The NLRP3 inflammasome is up-regulated in cardiac fibroblasts and mediates myocardial ischaemia-reperfusion injury. Cardiovasc. Res. 99, 164–174 (2013).
Article ADS CAS Google Scholar
Jong, W. M. & Zuurbier, C. J. A role for NLRP3 inflammasome in acute myocardial ischaemia-reperfusion injury? Cardiovasc. Res. 99, 226 (2013).
Article CAS Google Scholar
Liu, S., Li, Q. & Liu, Y. Immunohistochemical localization of NALP3 inflammasome in experimental periapical lesions. Int. Endod. J. 47, 949–957 (2014).
Article CAS Google Scholar
Finak, G. et al. Stromal gene expression predicts clinical outcome in breast cancer. Nat. Med. 14, 518–527 (2008).
Article CAS Google Scholar
Uhlen, M. et al. Proteomics. Tissue-based map of the human proteome. Science 347, 1260419 (2015).
Article Google Scholar
Soria, G. et al. Inflammatory mediators in breast cancer: coordinated expression of TNFalpha & IL-1beta with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer 11, 130 (2011).
Article CAS Google Scholar
Kolb, R., Liu, G. H., Janowski, A. M., Sutterwala, F. S. & Zhang, W. Inflammasomes in cancer: a double-edged sword. Protein Cell 5, 12–20 (2014).
Article CAS Google Scholar
Liu, X. et al. Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores. Nature 535, 153–158 (2016).
Article ADS CAS Google Scholar
Kono, H., Orlowski, G. M., Patel, Z. & Rock, K. L. The IL-1-dependent sterile inflammatory response has a substantial caspase-1-independent component that requires cathepsin C. J. Immunol. 189, 3734–3740 (2012).
Article CAS Google Scholar
Dvorak, H. F. Tumors: wounds that do not heal. Similarities between tumor stroma generation and wound healing. New Engl. J. Med. 315, 1650–1659 (1986).
Article CAS Google Scholar
Stewart, T. J., Liewehr, D. J., Steinberg, S. M., Greeneltch, K. M. & Abrams, S. I. Modulating the expression of IFN regulatory factor 8 alters the protumorigenic behavior of CD11b+Gr-1+ myeloid cells. J. Immunol. 183, 117–128 (2009).
Article CAS Google Scholar
Borowsky, A. D. et al. Syngeneic mouse mammary carcinoma cell lines: two closely related cell lines with divergent metastatic behavior. Clin. Exp. Metastasis 22, 47–59 (2005).
Article CAS Google Scholar
Erez, N., Glanz, S., Raz, Y., Avivi, C. & Barshack, I. Cancer associated fibroblasts express pro-inflammatory factors in human breast and ovarian tumors. Biochem. Biophys. Res. Commun. 437, 397–402 (2013).
Article CAS Google Scholar
Katoh, H. et al. CXCR2-expressing myeloid-derived suppressor cells are essential to promote colitis-associated tumorigenesis. Cancer Cell 24, 631–644 (2013).
Article CAS Google Scholar
Koh, A. et al. Role of osteopontin in neutrophil function. Immunology 122, 466–475 (2007).
Article CAS Google Scholar
Lawrence, T. The nuclear factor NF-kappaB pathway in inflammation. Cold Spring Harb. Perspect. Biol. 1, a001651 (2009).
Article Google Scholar
Wan, M. X., Wang, Y., Liu, Q., Schramm, R. & Thorlacius, H. CC chemokines induce P-selectin-dependent neutrophil rolling and recruitment in vivo: intermediary role of mast cells. Br. J. Pharmacol. 138, 698–706 (2003).
Article CAS Google Scholar
Aslakson, C. J. & Miller, F. R. Selective events in the metastatic process defined by analysis of the sequential dissemination of subpopulations of a mouse mammary tumor. Cancer Res. 52, 1399–1405 (1992).
CAS PubMed Google Scholar
Maaser, C. et al. Colonic epithelial cells induce endothelial cell expression of ICAM-1 and VCAM-1 by a NF-kappaB-dependent mechanism. Clin. Exp. Immunol. 124, 208–213 (2001).
Article CAS Google Scholar
Mako, V. et al. Proinflammatory activation pattern of human umbilical vein endothelial cells induced by IL-1beta, TNF-alpha, and LPS. Cytometry A 77, 962–970 (2010).
Article Google Scholar
Bogetto, L. et al. Bidirectional induction of the cognate receptor-ligand alpha4/VCAM-1 pair defines a novel mechanism of tumor intravasation. Blood 95, 2397–2406 (2000).
CAS PubMed Google Scholar
Kobayashi, H., Boelte, K. C. & Lin, P. C. Endothelial cell adhesion molecules and cancer progression. Curr. Med. Chem. 14, 377–386 (2007).
Article CAS Google Scholar
Viola, K. et al. Xanthohumol attenuates tumour cell-mediated breaching of the lymphendothelial barrier and prevents intravasation and metastasis. Arch. Toxicol. 87, 1301–1312 (2013).
Article CAS Google Scholar
Petrella, B. L. & Vincenti, M. P. Interleukin-1beta mediates metalloproteinase-dependent renal cell carcinoma tumor cell invasion through the activation of CCAAT enhancer binding protein beta. Cancer Med. 1, 17–27 (2012).
Article CAS Google Scholar
Pallangyo, C. K., Ziegler, P. K. & Greten, F. R. IKKbeta acts as a tumor suppressor in cancer-associated fibroblasts during intestinal tumorigenesis. J. Exp. Med. 212, 2253–2266 (2015).
Article CAS Google Scholar
Afonina, I. S., Muller, C., Martin, S. J. & Beyaert, R. Proteolytic processing of Interleukin-1 family cytokines: variations on a common theme. Immunity 42, 991–1004 (2015).
Article CAS Google Scholar
Lewis, A. M., Varghese, S., Xu, H. & Alexander, H. R. Interleukin-1 and cancer progression: the emerging role of interleukin-1 receptor antagonist as a novel therapeutic agent in cancer treatment. J. Transl. Med. 4, 48 (2006).
Article Google Scholar
Okamoto, M. et al. Constitutively active inflammasome in human melanoma cells mediating autoinflammation via caspase-1 processing and secretion of interleukin-1beta. J. Biol. Chem. 285, 6477–6488 (2010).
Article CAS Google Scholar
Guo, B., Fu, S., Zhang, J., Liu, B. & Li, Z. Targeting inflammasome/IL-1 pathways for cancer immunotherapy. Sci. Rep. 6, 36107 (2016).
Article ADS Google Scholar
Holen, I. et al. IL-1 drives breast cancer growth and bone metastasis in vivo. Oncotarget 7, 75571–75584 (2016).
Article 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 Google Scholar
Carmi, Y. et al. Microenvironment-derived IL-1 and IL-17 interact in the control of lung metastasis. J. Immunol. 186, 3462–3471 (2011).
Article CAS Google Scholar
Ma, L. et al. Epidermal growth factor (EGF) and interleukin (IL)-1beta synergistically promote ERK1/2-mediated invasive breast ductal cancer cell migration and invasion. Mol. Cancer 11, 79 (2012).
Article CAS Google Scholar
Bezzi, M. et al. Diverse genetic-driven immune landscapes dictate tumor progression through distinct mechanisms. Nat. Med. 24, 165–175 (2018).
Article CAS Google Scholar
Joyce, J. A. & Fearon, D. T. T cell exclusion, immune privilege, and the tumor microenvironment. Science 348, 74–80 (2015).
Article ADS CAS Google Scholar
Feig, C. et al. Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti-PD-L1 immunotherapy in pancreatic cancer. Proc. Natl Acad. Sci. USA 110, 20212–20217 (2013).
Article ADS CAS Google Scholar
Liao, D., Luo, Y., Markowitz, D., Xiang, R. & Reisfeld, R. A. Cancer associated fibroblasts promote tumor growth and metastasis by modulating the tumor immune microenvironment in a 4T1 murine breast cancer model. PLoS ONE 4, e7965 (2009).
Article ADS Google Scholar
Lakins, M. A., Ghorani, E., Munir, H., Martins, C. P. & Shields, J. D. Cancer-associated fibroblasts induce antigen-specific deletion of CD8 (+) T Cells to protect tumour cells. Nat. Commun. 9, 948 (2018).
Article ADS Google Scholar
Zitvogel, L., Kepp, O., Galluzzi, L. & Kroemer, G. Inflammasomes in carcinogenesis and anticancer immune responses. Nat. Immunol. 13, 343–351 (2012).
Article CAS Google Scholar
Voloshin, T. et al. Blocking IL1beta pathway following paclitaxel chemotherapy slightly inhibits primary tumor growth but promotes spontaneous metastasis. Mol. Cancer Ther. 14, 1385–1394 (2015).
Article CAS Google Scholar
Dupaul-Chicoine, J. et al. The Nlrp3 inflammasome suppresses colorectal cancer metastatic growth in the liver by promoting natural killer cell tumoricidal activity. Immunity 43, 751–763 (2015).
Article CAS Google Scholar
Wu, T. et al. Modulation of IL-1beta reprogrammes the tumor microenvironment to interrupt oral carcinogenesis. Sci. Rep. 6, 20208 (2016).
Article ADS CAS Google Scholar
Vidal-Vanaclocha, F., Amezaga, C., Asumendi, A., Kaplanski, G. & Dinarello, C. A. Interleukin-1 receptor blockade reduces the number and size of murine B16 melanoma hepatic metastases. Cancer Res. 54, 2667–2672 (1994).
CAS PubMed Google Scholar
Dinarello, C. A. Why not treat human cancer with interleukin-1 blockade? Cancer Metastasis Rev. 29, 317–329 (2010).
Article CAS Google Scholar
Ozdemir, B. C. et al. Depletion of carcinoma-associated fibroblasts and fibrosis induces immunosuppression and accelerates pancreas cancer with reduced survival. Cancer Cell 25, 719–734 (2014).
Article CAS Google Scholar
Irizarry, R. A. et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4, 249–264 (2003).
Article Google Scholar
Huang da, W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44–57 (2009).
Article Google Scholar
Eden, E., Navon, R., Steinfeld, I., Lipson, D. & Yakhini, Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinforma. 10, 48 (2009).
Article Google Scholar
Szklarczyk, D. et al. STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 43, D447–D452 (2015).
Article CAS Google Scholar

Download references

Acknowledgements

This research was supported by grants to N.E. from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 637069 MetCAF), from the Israel Science Foundation (#813/12), the Israel Cancer Association, and The Israel Cancer Research Fund (Research Career Development Award and Project Grant). We thank Ms. Hadar Cohen for her help with the revision process.

Author information

These authors contributed equally: Nour Ershaid, Yoray Sharon.

Authors and Affiliations

Department of Pathology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Nour Ershaid, Yoray Sharon, Hila Doron, Yael Raz, Ophir Shani, Noam Cohen, Lea Monteran, Muhammad Yassin & Neta Erez
Department of Obstetrics and Gynecology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
Yael Raz
Department of Pathology, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel
Leonor Leider-Trejo
Department of Infectious Diseases, Israel Institute for Biological Research, Ness Ziona, Israel
Amir Ben-Shmuel
Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Motti Gerlic
Department of Cell Research and Immunology, Tel Aviv University, Tel Aviv, Israel
Adit Ben-Baruch
Bioinformatics Unit, George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
Metsada Pasmanik-Chor
The Shraga Segal Department of Microbiology, Immunology and Genetics, Ben Gurion University of the Negev, Beer-Sheva, Israel
Roni Apte

Authors

Nour Ershaid
View author publications
You can also search for this author in PubMed Google Scholar
Yoray Sharon
View author publications
You can also search for this author in PubMed Google Scholar
Hila Doron
View author publications
You can also search for this author in PubMed Google Scholar
Yael Raz
View author publications
You can also search for this author in PubMed Google Scholar
Ophir Shani
View author publications
You can also search for this author in PubMed Google Scholar
Noam Cohen
View author publications
You can also search for this author in PubMed Google Scholar
Lea Monteran
View author publications
You can also search for this author in PubMed Google Scholar
Leonor Leider-Trejo
View author publications
You can also search for this author in PubMed Google Scholar
Amir Ben-Shmuel
View author publications
You can also search for this author in PubMed Google Scholar
Muhammad Yassin
View author publications
You can also search for this author in PubMed Google Scholar
Motti Gerlic
View author publications
You can also search for this author in PubMed Google Scholar
Adit Ben-Baruch
View author publications
You can also search for this author in PubMed Google Scholar
Metsada Pasmanik-Chor
View author publications
You can also search for this author in PubMed Google Scholar
Roni Apte
View author publications
You can also search for this author in PubMed Google Scholar
Neta Erez
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

N. Ershaid, Y.S., and N.E. (Neta Erez) conceived the study and designed the experiments. N. Ershaid, Y.S., H.D., Y.R., O.S., N.C., L.M., and A.B.-S. performed the experiments. L.L.-T. and M.P.S analysed data. M.Y., A.B.-B., M.G., and R.A. provided essential reagents and expertise. N. Ershaid and N.E. wrote the manuscript. N.E. supervised the study.

Corresponding author

Correspondence to Neta Erez.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

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

Supplementary information

Supplementary Info

Peer Review File

Reporting Summary

Source Data

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

Ershaid, N., Sharon, Y., Doron, H. et al. NLRP3 inflammasome in fibroblasts links tissue damage with inflammation in breast cancer progression and metastasis. Nat Commun 10, 4375 (2019). https://doi.org/10.1038/s41467-019-12370-8

Download citation

Received: 16 December 2018
Accepted: 02 September 2019
Published: 26 September 2019
DOI: https://doi.org/10.1038/s41467-019-12370-8

This article is cited by

The role of NLRP3 inflammasome in aging and age-related diseases
- Ruikai Liang
- Xinrui Qi
- Peng Yu
Immunity & Ageing (2024)
Rebuilding the microenvironment of primary tumors in humans: a focus on stroma
- Siwon Mun
- Hyun Jin Lee
- Pilnam Kim
Experimental & Molecular Medicine (2024)
Calcium-sensing receptor and NF-κB pathways in TN breast cancer contribute to cancer-induced cardiomyocyte damage via activating neutrophil extracellular traps formation
- Jingya Zeng
- Yangyang Cheng
- Yihua Sun
Cellular and Molecular Life Sciences (2024)
The ‘speck’-tacular oversight of the NLRP3-pyroptosis pathway on gastrointestinal inflammatory diseases and tumorigenesis
- Valentina Arrè
- Rosanna Scialpi
- Roberto Negro
Journal of Biomedical Science (2023)
Activation of NLRP3 inflammasome in lung epithelial cells triggers radiation-induced lung injury
- Xinrui Rao
- Dong Zhou
- Rui Zhou
Respiratory Research (2023)

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.