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Open Access

Peer-reviewed

Research Article

Timp3 Deficient Mice Show Resistance to Developing Breast Cancer

Abstract

Timp3 is commonly silenced in breast cancer, but mechanistic studies have identified both tumor promotion and suppression effects of this gene. We have taken a genetic approach to determine the impact of Timp3 loss on two mouse models of breast cancer. Interestingly, MMTV-PyMT Timp3−⁄− mice have delayed tumor onset and 36% of MMTV-Neu Timp3−⁄− mice remain tumor free. TIMP3 is a regulator of TNF signaling and similar to Timp3, Tnf or Tnfr1 loss delays early tumorigenesis. The tumor suppression in Timp3 null mice requires Tnfr1, but does not result in alterations in the local immune compartment. In the mammary gland, Timps are highly expressed in the stroma and through the transplantation of tumor cells we observe that Timp3 deficiency in the host is sufficient to delay the growth of early, but not advanced tumor cells. Together our data is the first to identify a tumor promoting role of endogenous Timp3 in vivo, the spatial and temporal windows of this effect, and its dependence on Tnfr1.

Citation: Jackson HW, Hojilla CV, Weiss A, Sanchez OH, Wood GA, Khokha R (2015) Timp3 Deficient Mice Show Resistance to Developing Breast Cancer. PLoS ONE 10(3): e0120107. https://doi.org/10.1371/journal.pone.0120107

Academic Editor: Daotai Nie, Southern Illinois University School of Medicine, UNITED STATES

Received: September 8, 2014; Accepted: January 19, 2015; Published: March 25, 2015

Copyright: © 2015 Jackson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: This work was funded by the Canadian Breast Cancer Research Alliance (grant #16411) and the Canadian Breast Cancer Foundation. HWJ was supported by a Canadian Breast Cancer Foundation PhD Fellowship and CVH was supported by a National Cancer Institute of Canada PhD Fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Breast cancer is one of the most frequently diagnosed cancers and is the second leading cause of cancer deaths in women. The deletion and/or alteration of multiple signaling components are necessary in order to bypass the many protective functions a cell has for the prevention of cancer. In addition to genetic mutation, gene expression is often altered by DNA methylation or miRNA silencing during cancer progression. TIMP3 is a common target of gene silencing in many cancer subtypes including colon, esophageal, brain, lung and breast cancers[1–3]. When the individual cell components of human breast cancer were investigated TIMP3 was not expressed in normal epithelium or in ductal carcinoma in situ (DCIS), but was overexpressed in myofibroblasts[4]. The overexpression of TIMP3 has both promoted the transformed phenotype[5] and caused cell death[6] of cancer cell lines. These contradictory studies have left the role of TIMP3 in breast cancer undefined.

Classically the TIMPs (Tissue Inhibitors of Metalloproteinases) are considered tumor suppressors as they inhibit the degradation of structural components by matrix metalloproteinases (MMPs), a function necessary for both increased tumor invasion and angiogenesis. Among the TIMP family, TIMP3 is unique in that it is tightly bound to the extracellular matrix via heparan sulfate and it has the most broad protease-inhibition profile which in addition to MMPs includes many ADAMs (a disintegrin and metalloproteinase)[7,8]. Specifically, TIMP3 is the sole inhibitor of ADAM17, also known as tumor necrosis factor alpha (TNF) converting enzyme (TACE)[9]. TACE is an important sheddase that cleaves and activates growth factors important for EGFR signaling as well as inflammatory cytokines[10]. We have shown that through inhibition of TACE, TIMP3 regulates many functions of TNF signaling and inflammation[11–15]. It can activate this pathway through increased shedding and release of TNF, but it can also dampen its activation by shedding TNF receptors.

As a major inflammatory cytokine, TNF has a paradoxical, context dependent impact on cancer progression. It is known to be necessary for tumor induction in an inflammation dependent model of skin cancer, but has also been used as a cytotoxic agent against malignant cells[16,17]. TNF is produced both by malignant cells and the invading immune component of the tumor microenvironment[17].

Here, we determine the role of TIMP3 through TNF in different compartments and during different stages of a breast cancer mouse model that is independent of ErbB/EGFR growth factor release[18]. We find that in the absence of Timp3 early breast cancer progression is delayed, but the growth of late stage carcinoma is accelerated. Further, we establish TNF signaling as an important regulator of early luminal breast cancer formation and identify the requirement of Tnfr1 for mediating breast cancer suppression seen in the absence of Timp3.

Results

Loss of Timp3 suppresses mammary tumorigenesis

To study the impact of Timp3 in breast cancer development and progression we crossed Timp3−⁄− mice with MMTV-PyMT (PyMT) or MMTV-Neu (Neu) transgenic mice that represent well-accepted models of human breast cancers; all mice were on the pure FVB background. PyMT utilizes viral polyomal middle T oncogene, while Neu depends on ectopic mammary ErbB2 overexpression with mammary glands undergoing a multi-step tumorigenesis process. Typically, tumor palpation assesses tumor initiation, the period between onset and tumor endpoint reflects the rate of tumor progression, and these tumors culminate in spontaneous lung metastasis.

In the aggressive PyMT model, we noted a remarkable delay of tumor initiation and metastasis in the Timp3 null group. The median age of first detection was 66 days in PyMT Timp3+/+ versus 86 days in PyMT Timp3−⁄− cohorts (Fig 1a). Comparison of mammary weights in 80-day-old mice reflected a marked reduction in tumor multiplicity and burden in Timp3 null mice (Fig 1d and 1e), which was visualized by the overall decreased cellularity evident in wholemount staining (Fig 1f). Gross and microscopic assessment of lung metastases indicated multiple lesions in PyMT Timp3+/+ tumor bearing 80-day-old mice, but these were completely absent in the PyMT Timp3−⁄− cohort (Fig 1g).

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Fig 1. Loss of Timp3 suppresses mammary tumorigenesis.

a) Kaplan-Meier curve of the age at first detection of MMTV-PyMT positive Timp3+/+ (n = 25), Timp3+/-(n = 17), and Timp3−⁄− (n = 21) mammary tumors. b) Kaplan-Meier curve of the age at first detection of MMTV-Neu positive Timp3+/+(n = 21), Timp3+/− (n = 20), and Timp3−⁄− (n = 22) mammary tumors. c) Kaplan-Meier curve of the age at first detection of MMTV-PyMT positive Timp3+/+, Timp3−⁄−, and Timp1−⁄−Timp2−⁄−Timp4−⁄− mammary tumors. Tumor burden at Day 80 depicted by mammary gland to body weight ratios (d, n = 17, mean ± s.e.m), the total number of palpable tumors (e, n = 17, mean ± s.e.m), representative images of mammary wholemounts (f, scale bar 5mm), and representative images of Bouin’s stained lungs with quantification of macroscopic metastasis (g, line = median). *p<0.05, **p>0.01, ***p<0.001.

https://doi.org/10.1371/journal.pone.0120107.g001

In parallel, we investigated the impact of Timp3 loss on Her2-driven breast cancer, an oncogene overexpressed in ~25% of human breast cancer. We observed profound mammary tumor suppression in the Timp3 deficient cohort (Neu Timp3−⁄−) and decreased tumor incidence. Specifically, 36% of Neu Timp3−⁄− mice remained tumor free across their lifespan, even beyond >2 years of age (Fig 1b). Tumors were palpable in control Neu mice (Neu Timp3+/+) at a mean age of 227 days, whereas in the Neu Timp3−⁄− mice that did develop tumors, onset was delayed to 453 days.

Among Timps, only Timp3 affects mammary tumorigenesis

We then examined whether Timp3 heterozygosity impacts mammary tumor development in both models. Tumor initiation was delayed in PyMT Timp3+/−and Neu Timp3+/− cohorts compared to their respective control groups (Fig 1a and 1b). This indicates haploinsufficiency whereby the loss of even one allele of Timp3 is able to confer tumor protection. Altogether these data have led to the surprising finding that a stepwise loss of one or both alleles of Timp3 delays or halts mammary cancer in two independent models of luminal breast cancer.

We next determined whether the modulation of breast cancer is a general function of the TIMP family, or if it is specific to Timp3 status. There are 4 members in the mammalian Timp gene family. Triple knockout mice lacking the other three Timps (Timp1−⁄−/Timp2−⁄−/Timp4−⁄−) were crossed into the PyMT model; all mice were in C57/Bl6 background. We found that MMTV-PyMT tumor initiation and progression was unaltered in compound mice lacking Timp 1, 2 and 4 (Fig 1c). These data identify the unique role of TIMP3 in breast cancer development.

Timp3 loss exerts suppression at an early stage of mammary tumorigenesis

To better define the window of suppression in the PyMT Timp3−⁄− model, we performed further analyses at days 40, 60 and 80. First, visualization of mammary wholemounts revealed multiple tumor foci in PyMT Timp3+/+ at day 40, which were absent in PyMT Timp3−⁄− glands (Fig 2a). These differences in cellularity were accentuated by day 60 where controls had many points of tumor initiation but Timp3−⁄− tumorigenesis was confined to specific ducts covering far less of the gland (Fig 2a).

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Fig 2. Timp3 differentially impacts early versus late stages of mammary tumorigenesis.

a) Wholemount images from Day 40 and 60 PyMT expressing glands; scale bar 1mm. Histological scoring of the most advanced lesion (b) as a percentage of all investigated Timp3+/+ and Timp3−⁄− MMTV-PyMT tumors at Day 40, 60 and 80 with representative images (c, scale bar 500μm). d) Immunohistochemistry staining and quantification of the percent of Ki67 positive proliferating cells; scale bar 100μm. e) Histogram of the number of days to first palpation and from first palpation to tumor endpoint (mean ± s.e.m. WT n = 15, Timp3−⁄− n = 16, Timp1−⁄−Timp2−⁄−Timp4−⁄− n = 7; scale bar 500μm). f) Representative H&E images of endpoint MMTV-PyMT mammary tumors. g) Representative wholemount images of MMTV-Neu positive non-tumor bearing glands (scale bar 500μm top and 200μm bottom) and the percentage of investigated non-tumor bearing glands that are hyperplastic (Neu Timp3+/+ n = 22, Neu Timp3−⁄− n = 37). *p<0.05, **p<0.01, ***p<0.001.

https://doi.org/10.1371/journal.pone.0120107.g002

The most advanced tumor or mammary lesion per gland was then scored histologically on days 40, 60 and 80. By the Annapolis classification, these tumors were designated as mammary intraepithelial neoplasia (MIN)/adenoma; early, early-late, or late carcinomas (Fig 2b and 2c)[19]. The control group (PyMT Timp3+/+) tumors advanced from 40% MIN at day 40, to 80% late carcinomas at day 60, and 100% late carcinomas at day 80. The kinetics of tumor progression were decelerated in the PyMT Timp3−⁄− cohort. Although some aggressive lesions (early-late carcinomas) appeared as early as day 40, there were major differences at day 60 when controls had late carcinomas but knockout tissue predominantly still displayed early carcinomas. By day 80, the knockout glands continued to exhibit the full spectrum of lesions including MIN, whereas controls were 100% late carcinomas. Next, we stained mammary tumors for markers of proliferation (Ki67) and apoptosis (cleaved caspase-3). We observed very few cells undergoing apoptosis (data not shown) but a robust level of cellular proliferation. Ki67 positivity was lower in day 40 PyMT Timp3−⁄− tissue than controls (Fig 2d).

These mouse cohorts were followed through to humane tumor endpoints to determine the overall breast cancer survival. Despite delayed tumor initiation and decreased tumor numbers in Timp3−⁄− mice, the most advanced tumor reached experimental endpoint at the same time as in PyMT Timp3+/+ mice (Fig 2e, S1 Fig). When examining the mammary glands of PyMT Timp3+/+ end-point mice, we consistently noted that all glands were overcome by aggressive adenocarcinomas, but this was not the case in PyMT Timp3−⁄− glands that still contained areas of normal mammary duct (Fig 2f). Altogether, these data show the window of breast cancer suppression to be early during tumorigenesis, yet identify a small subset of tumors that are more aggressive in the absence of Timp3 and able to progress rapidly to advanced disease.

With respect to the MMTV-Neu model, differences in tumor initiation were also observed. The Neu/Her2 oncogene first causes ductal hyperplasia before leading to full tumorigenesis. Wholemount staining of non-tumor-bearing glands from endpoint MMTV-Neu mice revealed that 13 of 22 Neu Timp3+/+ glands were hyperplastic, while only 5 of 37 Neu Timp3−⁄− glands showed evidence of transformation (Fig 2g), further supporting this concept.

Timp3 requires Tnfr1 to mediate mammary tumor suppression

TIMP3 is a recognized regulator of TNF bioavailability, and TNF signaling has the capacity to either drive or suppress cancer progression[10,17]. To investigate whether the TIMP3 deficient mammary tumor phenotype involves TNF we undertook a genetic approach. We bred PyMT transgenic mice with Tnf−⁄− or Tnfr1−⁄− mice individually, or in combination with Timp3 deficiency. Tnf deficiency on its own (PyMT Tnf−⁄−) significantly delayed PyMT tumor initiation (first palpation in PyMT Tnf−⁄− mice occurred at Day 80 versus Day 61 in PyMT Tnf+/+ mice, Fig 3a). We noted however that compound loss of Timp3 and Tnf (PyMT Timp3−⁄− Tnf−⁄−) did not further this suppression, suggesting overlapping functions of Timp3 and Tnf during PyMT tumor initiation (Fig 3a). Comparison of tumor end points showed a ~25% extension of PyMT Tnf−⁄− lifespan over Tnf+/+ (Fig 3c), whereas PyMT Timp3−⁄− Tnf−⁄− group exhibited intermediary survival.

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Fig 3. Tnfr1 is required for tumor suppression in the absence of Timp3.

a) Kaplan-Meier curve of the age at first detection of MMTV-PyMT positive WT (Timp3+/+, n = 15), Timp3−⁄− (n = 16), Tnf−⁄− (n = 12) and Timp3−⁄−Tnf−⁄− (n = 5) mammary tumors. b) Kaplan-Meier curve of the age at first detection of MMTV-PyMT positive WT (Timp3+/+), Timp3−⁄−, Tnfr1−⁄− (n = 23) and Timp3−⁄−Tnfr1−⁄− (n = 7) mammary tumors. c) Histogram of the number of days to first palpation and from first palpation to tumor endpoint. d) Representative H&E images of endpoint MMTV-PyMT mammary tumors.

https://doi.org/10.1371/journal.pone.0120107.g003

The individual loss of Tnfr1 (PyMT Tnfr1−⁄−) also led to a longer time to tumor palpation, similar to PyMT Timp3−⁄− and PyMT Tnf-/- cohorts (Fig 3b). When combined with Timp3 deficiency, PyMT Timp3−⁄− Tnfr1−⁄− mice have a distinct phenotype such that they failed to delay tumor initiation unlike all other Timp3−⁄−, Tnf−⁄−, or Tnfr1−⁄− cohorts. These data show that the effect of Timp3 loss on mammary tumorigenesis depends upon Tnfr1. (Fig 3b). Tumor progression to end-point in PyMT Tnfr1-/- mice was also comparable to PyMT Timp3−⁄− and PyMT Tnfr1−⁄− cohorts. On the other hand, this phenotype was lost in compound PyMT Timp3−⁄− Tnfr1−⁄− mice, which exhibited the equivalent rapid tumor progression as in PyMT controls.

Histological examination was performed across all described cohorts. By their endpoint, delayed PyMT Tnf−⁄− tumors had completely advanced to aggressive carcinomas, but PyMT Timp3−⁄− Tnf−⁄− ductal structures had reached a critical tumor size partially through a large proportion of dilated hyperplastic ducts (Fig 3d). In contrast, PyMT Tnfr1−⁄− glands maintained the normal architecture of some of their ductal structures, like PyMT Timp3−⁄−, but this characteristic was not apparent in compound PyMT Timp3−⁄− Tnfr1−⁄− mice (Fig 3d). These data provide further support to the proposed dependence on intact Tnfr1 for mediating tumor suppression inherent to Timp3 deficient glands.

The loss of Timp3 does not alter the mammary gland immune compartment

The TIMP3-TNF axis is linked to the immune cell response of several tissues including the mammary gland. To investigate immune cell composition and activation during breast cancer onset, MMTV-PyMT mammary glands were dissociated and stained with multiple cell surface markers for flow cytometry quantification using the gating strategy depicted in S2 Fig We compared resident/influxing immune cells, endothelial cells, and epithelial cells in MMTV-PyMT Timp3+/+ and Timp3−⁄− mice during the early window of mammary cancer suppression (day 40). As anticipated, there was a trend towards increased luminal cells in the Timp3+/+ glands (Fig 4a), a likely indication of the early luminal cell growth and hyperplasia identified histologically (Fig 2a and 2b). Total CD45+ immune cells in the mammary gland were unaltered in PyMT Timp3−⁄− (Fig 4b). Within this local immune cell population we observed no differences in NK cells (NK1.1+, Fig 4c), T cells (CD3+, CD4+, CD8+Fig. 4c and 4d), B cells (B220+, Fig 4e), macrophages (F4/80+CD11b+, Fig 4f), or in their activation markers (CD69+, MHCII+CD80+, S3 Fig). We also did not find any alterations in endothelial cell numbers (data not shown). Similarly, the immune cell populations of the local lymph node were not altered (S4 Fig) and no apparent differences were noted in the systemic immune cell populations of the mesenteric lymph nodes or spleen (data not shown). Therefore the early suppression of mammary cancer that occurs in the absence of Timp3, and requires Tnfr1, does not involve the immune cell compartment.

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Fig 4. The loss of Timp3 does not alter the mammary gland immune compartment.

Representative flow plots and quantification of (a) epithelial luminal and basal populations, (b) CD45+ immune cells, (c) NK and T cells, (d) CD4+ and CD8+ T cell subsets, (e) B cells, and (f) macrophages; n = 7, mean ± s.e.m.

https://doi.org/10.1371/journal.pone.0120107.g004

Timp3 deficiency in the host delays tumor progression

TIMP3 is secreted and found localized to the extracellular matrix[20]. Previous work has shown that Timp3 deficiency in the host, not the tumor, alters the growth of implanted melanoma cells[21]. To identify tissue compartments that express Timp genes in the breast and in breast cancer we used fluorescence-activated cell sorting (FACS) to sort different cell types from mammary glands with and without the MMTV-PyMT transgene (Fig 5a). We quantified gene expression of the 4 Timp genes in tumor and stromal cell populations as well as the comparable luminal and stromal cells of a healthy PyMT-negative mammary gland. Timp4 was not detected, but the other 3 Timps were expressed at the highest levels in the CD45−CD31− stromal population (Fig 5b).

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Fig 5. Timp3 deficiency in the host delays tumor progression.

a) Representative flow plots of sorted luminal, basal and stromal mammary populations. b) RT-PCR of Timp gene expression in sorted populations. c) Kaplan-Meier curve of the age at first detection of transplanted MMTV-PyMT positive Day 40 (straight) and Day 60 (dotted) Timp3+/+ cells into Timp3+/+ (white) and Timp3-/- (black) hosts.

https://doi.org/10.1371/journal.pone.0120107.g005

Next, to elucidate the involvement of the stromal microenvironment in the mammary tumor suppression found in the absence of TIMP3, PyMT cells were isolated and orthotopically transplanted into the mammary fat pads of either Timp3+/+ control or Timp3−⁄− experimental hosts. When cells from day 60 carcinomas were injected, tumors developed quickly in both control and experimental hosts (Fig 5c). In contrast, when PyMT day 40 cells were transplanted, tumors became palpable over a span of 50–120 days in Timp3+/+ control recipients, but the same tumor cells showed a delay in growth upon transplantation in Timp3 deficient hosts (Fig 5c). This was true for both PyMT Timp3+/+ (p = 0.0114) and PyMT Timp3−⁄− donor cells (p = 0.0717), and importantly, 50–60% of these Timp3−⁄− experimental recipients remained tumor free at 120 days. Interestingly, Timp3 deficient stroma was able to suppress the growth of early stage tumors with and without Timp3 (day 40), but not more advanced tumors (WT day 60). Likely, Timp3 stromal deficiency stalls tumor progression at an early stage in PyMT Timp3−⁄− mice resulting in the large differences observed compare to PyMT Timp3+/+ at 60 days of age (Fig 2). Thus, the loss of Timp3 from the host stroma specifically inhibits the early steps of tumor progression in spontaneous breast cancer models of Timp3 null mice.

Discussion

Here we have described the unexpected impact of Timp3 in mouse models of human breast cancer. Two independent models show that the loss of Timp3 results in mammary tumor suppression. Further, Timp3 deficiency specifically within mammary stroma is sufficient for delayed tumor onset, although the loss of Timp3 does not alter the mammary immune composition. Through our investigation of the TNF-TIMP3 axis we have also detailed the impact of both TNFR1-specific and total TNF signaling on breast cancer progression. The loss of Timp3 impacts tumorigenesis akin to Tnf or Tnfr1 deficiency, but requires the presence of Tnfr1.

Timp3 is a common target of methylation or miRNA regulation and is thereby silenced during tumorigenesis[1,22–25]. Other studies have investigated the impact of Timp3 re-expression or overexpression using fully transformed cell lines[6,26–30], and its expression in advanced human tumors[1,2,31]. Our work utilizes a genetic approach to determine the impact of Timp3 loss in epithelial and stromal compartments as well as during mammary tumor initiation and progression. The study of Timp3 expression in human tumor samples has led to the general conclusion that its loss is correlated with advanced tumor stage and even nodal involvement[3,32]. This applies across all breast cancer subtypes, and decreased Timp3 expression is observed in the more aggressive, hormone receptor negative subset[32] and is correlated with therapeutic success[33]. This data is in line with the aggressive late stage tumorigenesis observed here in mammary cancer of Timp3-/- mice and our previous report on melanoma cell lines[21]. Furthermore, our study defines a new role for Timp3 in the initiation of tumorigenesis. It may be that Timp3 loss in human cancer is a late event and not an initiating mutation.

Other groups have shown that the overexpression of Timp3 can protect against tumorigenesis by stabilizing TNF family death receptors on the surface of tumor cells via the blocking of receptor shedding and increasing their sensitivity to extracellular death signals[6,26,29]. In the current study, tumors exhibit only minimal apoptosis, which is unlikely to have altered breast cancer development.

Given the requirement for Tnfr1 in Timp3 regulation of breast cancer it is possible that the increased shedding of Tnfr1 from mammary epithelial cells participates during suppression. This shedding event is known to define the threshold for TNF signaling and maintains an important balance for immune cell function[34]. Increased shedding would directly decrease TNFR1 specific signaling, and would also dampen total TNF signaling since shed TNFR1 complexes with soluble TNF, thereby competing with intact signaling-competent receptors. TNFR1 on mammary tumor cells is known to induce proliferation[35] and we observed that proliferation is dampened in the absence of Timp3 (Fig 2e). In addition, the role of TNFR2 and the impact of membrane versus soluble TNF remain unknown and both could impact TNF signaling in this model. Future work defining the regulation of TNF signaling during breast cancer progression will be important to target useful therapeutic interventions against this pathway.

The complex role of Timp3 appears to be similar to the “double-edged sword” of TNF signaling in cancer[36]. TNF has both inducing and protective roles during cancer development. Many of these are related to local and systemic inflammation, a function that is regulated by Timp3[10]. Here we conclude that Timp3, Tnf and Tnfr1 similarly promote breast cancer onset with varying effects on tumor progression. Even though Timp3 does not regulate immune cell influx during breast cancer onset, stromal Timp3 may influence local inflammation. In vivo, Sangaletti et al have shown that immune cells are an important source of TNF in a model of Neu-induced breast cancer, but its receptor, TNFR1, does not function through the immune compartment[37]. The loss of immune cell Tnf caused delayed tumor progression and vascular hemorrhaging[37,38] similar to our observation in endpoint Neu Timp3−⁄− tumors (S1 Fig). The regulation of TNF signaling by TIMP3 may comprise an important step in tumor development as revealed in both PyMT and Neu models of breast cancer. Our study underscores the importance of Timp3 in the mammary gland revealing unexpected but important influences on breast cancer development.

Methods

Mouse Strains

All mice used in this study were on an FVB or C57BL/6 background or a combination thereof. Timp1−⁄−38, Timp2−⁄−39, Timp3−⁄−40, Timp4−⁄−41 mice have been described previously; Tnf−⁄−(Tnftm1Gkl), Tnfr1−⁄−(Tnfrsf1atm1Mak), and MMTV-PyMT42(MMTV-PyVT 634Mul/J) mice were purchased from the Jackson laboratories. These strains were crossed to generate individual or compound knockouts in the presence of the MMTV-PyMT transgene. Due to differences in mammary gland morphology and timelines of tumor development between these two backgrounds all experiments were compared to matched WildType F2 or F3 generation mice. The MMTV-PyMT transgene was carried by male mice in all breeding pairs. PyMT Timp1−⁄−, PyMT Timp3−⁄−, and PyMT Timp1−⁄−Timp2−⁄−Timp4−⁄− mice in Figs 1c, 2e, 2f and 4, and S2–S4 Figs were on a pure C57BL/6 background, while all other crosses were from a FVB or C57BL/6 mixed strain, with MMTV-PyMT originating from FVB. For transplantation experiments only mice from a pure C57BL/6 background were used. All mice were cared for according to guidelines established by the Canadian Council for Animal Care under protocols approved by the Animal Care Committee of the Ontario Cancer Institute (Animal Use Protocol #812). All efforts were made to minimize suffering.

Tumor parameters

MMTV-PyMT positive female mice were palpated for tumors twice a week starting at 6 weeks of age when on a mixed FVB, C57BL/6 background and at 7 weeks of age when on a pure C57BL/6 background. Tumor onset was measured upon detection of any palpable tumor mass. Tumor size was measured by calliper and tumor endpoint was defined as a mouse having any one tumor of 15mm. Mice were monitored biweekly and sacrificed by CO2 at tumor endpoint. Kaplan-meier survival curves and the log-rank statistical test were used to determine differences in tumor onset and overall survival. At tumor endpoint all mammary glands were dissected and weighed. Tumor burden was measured as the ratio of the weight of all tumors compared to the animal’s total body weight. Tumor multiplicity was defined as the total number of glands that had externally visual tumors greater than 5mm in size. At tumor endpoint or unique timepoints (Day 40, Day 60, Day 80) tumors were fixed in 4% PFA or frozen in liguid N2 for further analysis.

For the quantification of macroscopic metastatic lesions lungs were fixed and stained in Bouin’s Fixative and lesions were counted using a dissecting scope. For microscopic lesions, all lung lobes were dissected and fixed in 4% PFA overnight at 4°C. One section was made across all lobes and was stained with H&E. Metastatic lesions were scored for one entire lung section per mouse.

For tumor transplant experiments PyMT Timp3+/+ tumors were dissected at specific time points of 40 or 60 days of age and were dissociated to single cells as previously described[39]. 50,000 total cells were resuspended in a 50% Matrigel, 45% DMEM:F12 media, 5% 0.04% trypan blue mixture before being injected orthotopically into the mammary fat pads of isofluorane/oxygen anaesthetized adult host mice. Recipient glands were palpated twice weekly beginning a week after injection.

Tissue Fixation and Staining

Wholemount and H&E staining was performed as previously described[39].

For flow cytometry staining mammary glands were dissociated by collagenase digestion as previously described in Joshi et al and lymph nodes and spleens were collected and stained as described in Murthy et al with the addition of anti-MHCII (clone M5/114.15.2), anti-CD80 (clone 16-10A1), and anti-CD45.2 (clone 104)[39,40].

Statistical Analysis

Statistical significance was determined using student’s T-test or ANOVA with Tukey’s multiple comparisons test for all histograms and Kaplan-Meier survival curves were analyzed using a Mantel-Cox Log-rank test. Statistical significance was depicted as *p<0.05, **p<0.01, ***p<0.001.

Supporting Information

S1 Fig. First palpation and tumor endpoint.

a) Histogram of the number of days to first palpation and from first palpation to tumor endpoint in FVB MMTV-PyMT mice (mean ± s.e.m. Timp3+⁄+ n = 25, Timp3+⁄− n = 17, Timp3−⁄− n = 21). b) Histogram of the number of days to first palpation and from first palpation to tumor endpoint in FVB MMTV-Neu mice (mean ± s.e.m. Timp3+⁄+ n = 21, Timp3+⁄− n = 20, Timp3−⁄− n = 22).

https://doi.org/10.1371/journal.pone.0120107.s001

(EPS)

S2 Fig. Gating strategy for mammary gland immune cell analysis.

Debris and doublets were removed using forward scatter and side scatter area, height and width parameters. Dead cells were then removed using the viability dye DAPI. Next, total immune cells were identified by their expression of the pan-immune surface marker CD45.2 and within this subset specific immune cell populations were identified. T cells were categorized as positive for CD3 expression and negative for NK1.1 expression and further categorization of T cells was completed using CD4 and CD8, as well as CD69 (a marker of lymphocyte activation). B cells were identified as having positive B220 surface expression. Finally, macrophages were identified by their positive expression of surface markers CD11b and F4/80, and further characterized by their activation markers CD80 and MHCII.

https://doi.org/10.1371/journal.pone.0120107.s002

(EPS)

S3 Fig. Quantification of mammary immune cell activation.

Representative flow plots and quantification of (a) CD69+ CD4+ T cells, (b) CD69+ CD8+ T cells, and (c) CD80+MHCII+ Macrophages.

https://doi.org/10.1371/journal.pone.0120107.s003

(EPS)

S4 Fig. Quantification of mammary lymph node immune cells.

Representative flow plots and quantification of (a) CD45+ immune cells, (b) T cells, (c) B cells, and (d) macrophages.

https://doi.org/10.1371/journal.pone.0120107.s004

(EPS)

Author Contributions

Conceived and designed the experiments: HWJ CVH RK. Performed the experiments: HWJ CVH AW. Analyzed the data: HWJ CVH AW OHS GAW. Wrote the paper: HWJ RK.

References

  1. 1. Bachman KE, Herman JG, Corn PG, Merlo A, Costello JF, Cavenee WK, et al. Methylation-associated silencing of the tissue inhibitor of metalloproteinase-3 gene suggest a suppressor role in kidney, brain, and other human cancers. Cancer Res. 1999;59: 798–802. pmid:10029065
  2. 2. Gu P, Xing X, Tänzer M, Röcken C, Weichert W, Ivanauskas A, et al. Frequent loss of TIMP-3 expression in progression of esophageal and gastric adenocarcinomas. Neoplasia. 2008;10: 563–572. pmid:18516293
  3. 3. Nakamura M, Ishida E, Shimada K, Kishi M, Nakase H, Sakaki T, et al. Frequent LOH on 22q12.3 and TIMP-3 inactivation occur in the progression to secondary glioblastomas. Lab Invest. 2005;85: 165–175. pmid:15592495
  4. 4. Allinen M, Beroukhim R, Cai L, Brennan C, Lahti-Domenici J, Huang H, et al. Molecular characterization of the tumor microenvironment in breast cancer. Cancer Cell. 2004;6: 17–32. pmid:15261139
  5. 5. Yang TT, Hawkes SP. Role of the 21-kDa protein TIMP-3 in oncogenic transformation of cultured chicken embryo fibroblasts. Proc Natl Acad Sci U S A. 1992;89: 10676–10680. pmid:1438264
  6. 6. Ahonen M, Poukkula M, Baker AH, Kashiwagi M, Nagase H, Eriksson JE, et al. Tissue inhibitor of metalloproteinases-3 induces apoptosis in melanoma cells by stabilization of death receptors. Oncogene. 2003;22: 2121–2134. pmid:12687014
  7. 7. Murphy G. Tissue inhibitors of metalloproteinases. Genome Biology. 2011. p. 233. pmid:22078297
  8. 8. Brew K, Nagase H. The tissue inhibitors of metalloproteinases (TIMPs): An ancient family with structural and functional diversity. Biochim Biophys Acta—Mol Cell Res. Elsevier B.V.; 2010;1803: 55–71.
  9. 9. Amour A, Slocombe PM, Webster A, Butler M, Knight CG, Smith BJ, et al. TNF-alpha converting enzyme (TACE) is inhibited by TIMP-3. FEBS Lett. 1998;435: 39–44. Available: http://www.ncbi.nlm.nih.gov/pubmed/9755855 pmid:9755855
  10. 10. Khokha R, Murthy A, Weiss A. Metalloproteinases and their natural inhibitors in inflammation and immunity. Nat Rev Immunol. 2013;13: 649–665. pmid:23969736
  11. 11. Hojilla C, Jackson H, Khokha R. TIMP3 regulates mammary epithelial apoptosis with immune cell recruitment through differential TNF dependence. PLoS One. 2011;
  12. 12. Smookler DS, Mohammed FF, Kassiri Z, Duncan GS, Mak TW, Khokha R. Tissue inhibitor of metalloproteinase 3 regulates TNF-dependent systemic inflammation. J Immunol. 2006;176: 721–725 pmid:16393953
  13. 13. Mohammed FF, Smookler DS, Taylor SEM, Fingleton B, Kassiri Z, Sanchez OH, et al. Abnormal TNF activity in Timp3-/- mice leads to chronic hepatic inflammation and failure of liver regeneration. Nat Genet. 2004;36: 969–977. pmid:15322543
  14. 14. Kassiri Z, Defamie V, Hariri M, Oudit GY, Anthwal S, Dawood F, et al. Simultaneous transforming growth factor beta-tumor necrosis factor activation and cross-talk cause aberrant remodeling response and myocardial fibrosis in Timp3-deficient heart. J Biol Chem. 2009;284: 29893–29904. pmid:19625257
  15. 15. Murthy A, Defamie V, Smookler DS, Di Grappa MA, Horiuchi K, Federici M, et al. Ectodomain shedding of EGFR ligands and TNFR1 dictates hepatocyte apoptosis during fulminant hepatitis in mice. J Clin Invest. 2010;120: 2731–2744. pmid:20628198
  16. 16. Moore RJ, Owens DM, Stamp G, Arnott C, Burke F, East N, et al. Mice deficient in tumor necrosis factor-alpha are resistant to skin carcinogenesis. Nat Med. 1999;5: 828–831. pmid:10395330
  17. 17. Balkwill F. Tumour necrosis factor and cancer. Nat Rev Cancer. 2009;9: 361–371. pmid:19343034
  18. 18. Lin EY, Jones JG, Li P, Zhu L, Whitney KD, Muller WJ, 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. 2003;163: 2113–2126. pmid:14578209
  19. 19. Cardiff RD, Anver MR, Gusterson B, Hennighausen L, Jensen R, Merino MJ, et al. The mammary pathology of genetically engineered mice: the consensus report and recommendations from the Annapolis meeting. Oncogene. 2000;19: 968–988. pmid:10713680
  20. 20. Pavloff N, Staskus PW, Kishnani NS, Hawkes SP. A new inhibitor of metalloproteinases from chicken: ChIMP-3. A third member of the TIMP family. J Biol Chem. 1992;267: 17321–17326. pmid:1512267
  21. 21. Cruz-Muñoz W, Kim I, Khokha R. TIMP-3 deficiency in the host, but not in the tumor, enhances tumor growth and angiogenesis. Oncogene. 2006;25: 650–655. pmid:16186800
  22. 22. Panda H, Chuang T-D, Luo X, Chegini N. Endometrial miR-181a and miR-98 expression is altered during transition from normal into cancerous state and target PGR, PGRMC1, CYP19A1, DDX3X, and TIMP3. J Clin Endocrinol Metab. 2012;97: E1316–26. pmid:22492871
  23. 23. Wang B, Hsu S-H, Majumder S, Kutay H, Huang W, Jacob ST, et al. TGFbeta-mediated upregulation of hepatic miR-181b promotes hepatocarcinogenesis by targeting TIMP3. Oncogene. 2010;29: 1787–1797. pmid:20023698
  24. 24. Garofalo M, Di Leva G, Romano G, Nuovo G, Suh S-S, Ngankeu A, et al. miR-221&222 regulate TRAIL resistance and enhance tumorigenicity through PTEN and TIMP3 downregulation. Cancer Cell. 2009;16: 498–509. pmid:19962668
  25. 25. Lu Y, Roy S, Nuovo G, Ramaswamy B, Miller T, Shapiro C, et al. Anti-microRNA-222 (Anti-miR-222) and -181B Suppress Growth of Tamoxifen-resistant Xenografts in Mouse by Targeting TIMP3 Protein and Modulating Mitogenic Signal. Journal of Biological Chemistry. 2011. pp. 42292–42302. pmid:22009755
  26. 26. Bond M, Murphy G, Bennett MR, Newby AC, Baker AH. Tissue inhibitor of metalloproteinase-3 induces a Fas-associated death domain-dependent type II apoptotic pathway. J Biol Chem. 2002;277: 13787–13795. pmid:11827969
  27. 27. Bian J, Wang Y, Smith MR, Kim H, Jacobs C, Jackman J, et al. Suppression of in vivo tumor growth and induction of suspension cell death by tissue inhibitor of metalloproteinases (TIMP)-3. Carcinogenesis. 1996;17: 1805–1811. pmid:8824499
  28. 28. Lin H, Zhang Y, Wang H, Xu D, Meng X, Shao Y, et al. Tissue inhibitor of metalloproteinases-3 transfer suppresses malignant behaviors of colorectal cancer cells. Cancer Gene Therapy. 2012.
  29. 29. Smith MR, Kung H, Durum SK, Colburn NH, Sun Y. TIMP-3 induces cell death by stabilizing TNF-alpha receptors on the surface of human colon carcinoma cells. Cytokine. 1997;9: 770–780. pmid:9344510
  30. 30. Zhang L, Zhao L, Zhao D, Lin G, Guo B, Li Y, et al. Inhibition of tumor growth and induction of apoptosis in prostate cancer cell lines by overexpression of tissue inhibitor of matrix metalloproteinase-3. Cancer Gene Ther. 2010;17: 171–179. pmid:19798124
  31. 31. Hoque MO, Begum S, Brait M, Jeronimo C, Zahurak M, Ostrow KL, et al. Tissue inhibitor of metalloproteinases-3 promoter methylation is an independent prognostic factor for bladder cancer. J Urol. 2008;179: 743–747. pmid:18082200
  32. 32. Celebiler Cavusoglu A, Kilic Y, Saydam S, Canda T, Başkan Z, Sevinc AI, et al. Predicting invasive phenotype with CDH1, CDH13, CD44, and TIMP3 gene expression in primary breast cancer. Cancer Sci. 2009;100: 2341–2345. pmid:19799609
  33. 33. Span PN, Lindberg RLP, Manders P, Tjan-Heijnen VCG, Heuvel JJTM, Beex LVAM, et al. Tissue inhibitors of metalloproteinase expression in human breast cancer: TIMP-3 is associated with adjuvant endocrine therapy success. J Pathol. 2004;202: 395–402. pmid:15095266
  34. 34. Xanthoulea S, Pasparakis M, Kousteni S, Brakebusch C, Wallach D, Bauer J, et al. Tumor necrosis factor (TNF) receptor shedding controls thresholds of innate immune activation that balance opposing TNF functions in infectious and inflammatory diseases. J Exp Med. 2004;200: 367–376. pmid:15289505
  35. 35. Varela L, Ip M. Tumor necrosis factor-alpha: a multifunctional regulator of mammary gland development. Endocrinology. 1996;137. Available: pmid:8536605
  36. 36. Aggarwal BB. Signalling pathways of the TNF superfamily: a double-edged sword. Nat Rev Immunol. 2003;3: 745–756. pmid:12949498
  37. 37. Sangaletti S, Tripodo C, Ratti C, Piconese S, Porcasi R. Oncogene-Driven Intrinsic Inflammation Induces Leukocyte Production of Tumor Necrosis Factor That Critically Contributes to Mammary Carcinogenesis Oncogene-Driven Intrinsic Inflammation Induces Leukocyte Production of Tumor Necrosis Factor That Critically. 2010;
  38. 38. Warren MA, Shoemaker SF, Shealy DJ, Bshar W, Ip MM. Tumor necrosis factor deficiency inhibits mammary tumorigenesis and a tumor necrosis factor neutralizing antibody decreases mammary tumor growth in neu/erbB2 transgenic mice. Mol Cancer Ther. 2009;8: 2655–2663. pmid:19755514
  39. 39. Joshi PA, Jackson HW, Beristain AG, Di Grappa MA, Mote PA, Clarke CL, et al. Progesterone induces adult mammary stem cell expansion. Nature. Nature Publishing Group; 2010;465: 1–5.
  40. 40. Murthy A, Shao YW, Defamie V, Wedeles C, Smookler D, Khokha R. Stromal TIMP3 regulates liver lymphocyte populations and provides protection against Th1 T cell-driven autoimmune hepatitis. J Immunol. 2012;188: 2876–2883. pmid:22323541