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Erschienen in: Breast Cancer Research 1/2017

Open Access 01.12.2017 | Research article

Pathobiology of the 129:Stat1 −/− mouse model of human age-related ER-positive breast cancer with an immune infiltrate-excluded phenotype

verfasst von: Hidetoshi Mori, Jane Q. Chen, Robert D. Cardiff, Zsófia Pénzváltó, Neil E. Hubbard, Louis Schuetter, Russell C. Hovey, Josephine F. Trott, Alexander D. Borowsky

Erschienen in: Breast Cancer Research | Ausgabe 1/2017

Abstract

Background

Stat1 gene-targeted knockout mice (129S6/SvEvTac-Stat1 tm1Rds) develop estrogen receptor-positive (ER+), luminal-type mammary carcinomas at an advanced age. There is evidence for both host environment as well as tumor cell-intrinsic mechanisms to initiate tumorigenesis in this model. In this report, we summarize details of the systemic and mammary pathology at preneoplastic and tumor-bearing time points. In addition, we investigate tumor progression in the 129:Stat1 −/− host compared with wild-type 129/SvEv, and we describe the immune cell reaction to the tumors.

Methods

Mice housed and treated according to National Institutes of Health guidelines and Institutional Animal Care and Use Committee-approved methods were evaluated by histopathology, and their tissues were subjected to immunohistochemistry with computer-assisted quantitative image analysis. Tumor cell culture and conditioned media from cell culture were used to perform macrophage (RAW264.7) cell migration assays, including the 129:Stat1 −/−-derived SSM2 cells as well as control Met1 and NDL tumor cells and EpH4 normal cells.

Results

Tumorigenesis in 129:Stat1 −/− originates from a population of FoxA1+ large oval pale cells that initially appear and accumulate along the mammary ducts in segments or regions of the gland prior to giving rise to mammary intraepithelial neoplasias. Progression to invasive carcinoma is accompanied by a marked local stromal and immune cell response composed predominantly of T cells and macrophages. In conditioned media experiments, cells derived from 129:Stat1 −/− tumors secrete both chemoattractant and chemoinhibitory factors, with greater attraction in the extracellular vesicular fraction and inhibition in the soluble fraction. The result appears to be recruitment of the immune reaction to the periphery of the tumor, with exclusion of immune cell infiltration into the tumor.

Conclusions

129:Stat1 −/− is a unique model for studying the critical origins and risk reduction strategies in age-related ER+ breast cancer. In addition, it can be used in preclinical trials of hormonal and targeted therapies as well as immunotherapies.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s13058-017-0892-8) contains supplementary material, which is available to authorized users.
Abkürzungen
CM
Conditioned medium
Cy
Cyanine
DCIS
Ductal carcinoma in situ
EpCAM
Epithelial cell adhesion molecule
ER
Estrogen receptor
EV
Extracellular vesicle
FoxA1
Forkhead box A1
GFP
Green fluorescent protein
GMM
Genetically modified mouse
H&E
Hematoxylin and eosin
HS
Hormone-sensing
IHC
Immunohistochemistry
JAK2/Jak2
Janus kinase 2
KO
Knockout
KRT
Keratin
LN
Lymph node
LOP
Large oval pale
MEC
Mammary epithelial cell
MIN
Mammary intraepithelial neoplasia
NBF
Neutral buffered formalin
PR
Progesterone receptor
PRL
Prolactin
PRLR
Prolactin receptor
TDLU
Terminal ductal lobular unit
TSA
Tyramide signal amplification
WT
Wild type

Background

Mammary tumors in the 129/SvEv mouse strain with knockout (KO) of Stat1 (129S6/SvEvTac-Stat1 tm1Rds; 129:Stat1 −/− or Stat1-null) are unique among genetically modified mouse (GMM) models of human breast cancer [1]. In contrast to most other mouse models of human breast cancer, the resulting tumors are ovary-dependent and have uniformly high levels of estrogen receptor (ER)-α and progesterone receptor (PR), as well as elevated transcription of Forkhead box A1 (FoxA1) [2]. FoxA1-positive cells in the mammary gland are known to originate in the mammary ducts rather than in the lobuloalveolar units [3] and thus could potentially give rise to ductal tumors rather than alveolus-based tumors that occur in most mouse models of mammary cancer [46]. Further, Stat1-null females exhibit a prolonged tumor latency that models the majority of human breast cancers that are age-related [2, 7, 8]. Given these relevant characteristics, we sought to investigate the origins, evolution, and progression of tumors in the context of the whole animal, with detailed observations afforded by anatomic, histologic, endocrine function, immune cell reaction, and molecular evaluations of organs from aged 129:Stat1 −/− mice [912].
The 129:Stat1 −/− model has been used to study a variety of phenomena, including natural killer cell responses during obligate intracellular pathogen infection, immune editing, mammary gland development [2, 7, 1315], and mammary tumorigenesis [2]. Regarding changes in the mammary glands, these studies documented deficiencies in the immune and endocrine systems; dramatic changes in cytokine concentrations both systemic and tissue; localized effects on mammary development and the microenvironment; and the spontaneous, cell-autonomous development of mammary neoplasia [2, 16]. Reciprocal mammary gland transplantation in immune intact syngeneic 129/SvEv and in 129:Stat1 −/− mice, as well as tissue coculture experiments, has facilitated isolation and investigation of the host environment [7].
The luminal mammary carcinomas in 129:Stat1 −/− occur as spontaneous neoplasms in nulliparous and parous females, and they have a prolonged latency [2]. The tumor cytology is unique among GMM models of mammary cancer and is relatively uniform throughout all tumors. Molecular analysis of Stat1-null tumors revealed decreased levels of Janus kinase 2 (JAK2) and downstream activity resulting in tumorigenesis [2, 16]. Moreover, genomic analysis of mammary tumors arising in the 129:Stat1 −/− mouse established they almost always harbored a truncating exon 10 mutation of the prolactin receptor (PRLR) that was tumorigenic when heterozygously expressed in embryonic fibroblasts lacking Stat1 but overexpressing Jak2 [17].
Although mammary gland development in the 129:Stat1 −/− model was initially described as normal [2], a subsequent and more detailed study revealed that the mammary glands had delayed development, defective branching morphogenesis, and abnormal terminal end buds [7]. Further, the gland-free KO mammary fat pad produces only low concentrations of a number of growth factors/cytokines [7]. Interestingly, mammary growth and the cytokine profile can be restored to normal levels either with pregnancy or by administering exogenous progesterone and prolactin (PRL) [7]. Therefore, the 129:Stat1 −/− model provides an opportunity to investigate the dependence of mammary development and tumorigenesis on endocrine-cytokine interactions between the tumor and the microenvironment.
KO of Stat1 in other mouse strains and using other targeting approaches does not lead to spontaneous primary mammary tumors. When these Stat1 −/− mice are crossed with Neu-expressing GMM, the resulting bigenic animals do, however, exhibit accelerated tumorigenesis, suggesting that STAT1 functions as a tumor suppressor [1821]. Forced breeding of Balb/c:Stat1 −/− females stimulated mammary neoplasia but resulted in a variety of tumor types that are different from the homogeneous 129:Stat1 −/− tumors [21]. Thus, the 129:Stat1 −/− model offers the unique opportunity to identify host and tumor factors modeling similar human breast cancers [2, 17]. Mammary tumors in 129:Stat1 −/− occur exclusively in aged females and depend on hormonal and microenvironmental changes. Their ER+ luminal phenotype, which is the most common phenotype in human breast cancers and the most common phenotype associated with advanced age, occurs only in Stat1 KO on the 129 background, implying there are genetic modifiers of this phenotype.
We have studied the origin and progression of primary mammary tumors in 129:Stat1 −/− in our colony from early development [7] and, now, to over 2 years of age (120 weeks). We report the findings of additional morphological abnormalities in the Stat1 −/− mouse that reflect systemic endocrine and environment effects, as well as the identification of a FoxA1+ large oval pale (LOP) cell that appears along some Stat1-null ducts as their hosts approach tumor-bearing age. These LOP cells precede the invasive cancers, and their distribution is consistent with evolution of a mutant mammary epithelial cell (MEC) clone that populates contiguous segments of the mammary gland.
A role for the microenvironment in the initiation of cancers is clear, given the age dependency of the cancers and their thoracic location. We also describe an unusually strong host immune response (compared with other GMM mammary cancer models, including GMM transplants such as the Met1 model Fig. 1a [22]) to the invasive Stat1-null neoplasm that increases with lesion progression. These host responses are similar in both 129:wild-type (129:WT) and 129:Stat1 −/− hosts, suggesting that the tumor cells produce chemoeffectors, which were subsequently found in both the soluble and the exosome fractions from cultured tumor cells.

Methods

Mouse model

129:Stat1 −/− mice [7, 23] were provided by the Schreiber laboratory (Washington University, St. Louis, MO, USA), and 129S6/SvEvTac mice were purchased from Taconic Farms (Hudson, NY, USA). Mice were housed in a vivarium according to National Institutes of Health guidelines, and all animal experiments were performed following procedures approved by the UC Davis Institutional Animal Care and Use Committee. The procedures for transplantation [7] and the conditions for maintaining mice [24] were described previously.

Histopathology and whole-mount preparation

Most tissues were fixed in 10% neutral buffered formalin (NBF) at room temperature for 24 h, then placed in 70% ethanol until processing, which was normally within 24 h. To validate the immunohistochemical staining with NBF-fixed samples, some tissues were fixed in zinc-based fixative as described elsewhere [24]. Procedures for infiltrating tissue with paraffin, sectioning, and hematoxylin and eosin (H&E) staining were described previously [24]. The preparation of whole mounts of mouse mammary glands was carried out as previously described [7].

Transplants

Fragments (1 mm3) of freshly dissected tumors were transplanted into uncleared thoracic and inguinal mammary fat pads of 3- to 6-week old nulliparous WT and Stat1-null females under appropriate anesthesia and sterile conditions as previously described [7]. The animals were monitored at least twice per week. Growth of palpable tumors was noted and measured in two dimensions using calipers. The volumes were calculated using the average diameter [4/3 × π × (d1 + d1/4)3].

Immunohistochemistry

Immunohistochemistry (IHC) was performed as previously described [7, 24]. Stained slides were scanned on an Aperio AT2 ScanScope (Leica Biosystems, Buffalo Grove, IL, USA), and digital images were viewed using the ImageScope application (Leica Biosystems). Digital images were captured and processed using Photoshop software (Adobe Systems, San Jose, CA, USA). The imaging analysis for counting marker-positive cells was performed with inForm Cell Analysis software (PerkinElmer, Waltham, MA, USA). Multiplex IHC was performed with tyramide signal amplification (TSA)-based fluorescence color visualization [25]. TSA-based multiplex IHC was performed according to the manufacturer’s protocol (PerkinElmer). FoxA1, epithelial cell adhesion molecule (EpCAM), and keratin-14 (KRT14) were detected with TSA Plus fluorescein, cyanine 3 (Cy3), and Cy5, respectively. Visualization of multiplexed images was performed with an LSM710 laser scanning confocal microscope (Carl Zeiss Microscopy, Oberkochen, Germany). Antibodies used were anti-ER-α (clone MC-20; Santa Cruz Biotechnology, Dallas, TX, USA), anti-PR (polyclonal; Dako North America, Carpinteria, CA, USA), anti-Ki67 (clone Ab-4, Lab Vision; Thermo Fisher Scientific, Fremont, CA, USA), anti-CD3 (clone SP7; Abcam, Cambridge, MA, USA), anti-CD4 (clone RM4-5; eBioscience, San Diego, CA, USA), anti-CD8a (clone 4SM15; eBioscience), anti-F4/80 (clone MCA497, AbD Serotec; Bio-Rad Laboratories, Hercules, CA, USA), anti-B220 (clone RA3-6B2; BD Biosciences, San Jose, CA, USA), anti-KRT14 (Covance Poly19053; BioLegend, San Diego, CA, USA), anti-FoxA1 (clone EPR10881; Abcam), anti-EpCAM (EPR677; Abcam), anti-KRT8/18 (CK209; Fitzgerald Industries International, Acton, MA, USA), and anti-type IV collagen (polyclonal; Abcam).

Collecting conditioned media

A Stat1-null cell line (SSM2) [2], an MMTV-NDL-derived cell line (NDL) [26], and an MMTV-PyMT-derived cell line (Met1) [22] were cultured in T75 culture flasks at 1 × 106 cells in growth medium (DMEM supplemented with 10% FBS) for 2 days. A phenotypically normal MEC line, EpH4, was cultured as described previously [27]. To prepare conditioned medium (CM) from each cell line, cells were rinsed three times with serum-free medium and then cultured in 10 ml of serum-free medium for 48 h. CM was collected, centrifuged to eliminate cells and debris, and filtered (0.2 μm). To isolate extracellular vesicles (EVs), CM was ultracentrifuged at 100,000 × g for 2 h. The pellet (EV-rich fraction) was resuspended in DMEM with the same volume as the supernatant (soluble fraction).

Time-lapse migration assay

The green fluorescent protein (GFP)-tagged H2B [28] was transduced into RAW264.7 mouse macrophages (American Type Culture Collection, Manassas, VA, USA) using pLenti-EF1a-Puro bearing a GFP-tagged H2B complementary DNA [27]. Preparation of lentiviral particles and transduction of target cells were performed as previously described [27]. To maintain GFP-H2B-positive cells, growth medium was supplemented with 0.5 μg/ml puromycin. To observe RAW264.7/GFP-H2B cell migration, cells were plated at 2 × 104 cells/well of an eight-well Lab-Tek II chambered coverglass (Thermo Fisher Scientific, Waltham, MA, USA) in growth medium for 2 days before stimulating cell migration with CM. Fluorescence was visualized with an LSM710 confocal microscope equipped with a temperature- and CO2-controlled chamber [29, 30]. Before cell migration was analyzed, cells were rinsed twice and maintained in 400 μl of serum-free DMEM for 2 h. The action of RAW264.7/GFP-H2B cells was monitored at 5-minute intervals for more than 8 h. Cell migration was evaluated using time-lapse images with Imaris software (Bitplane, South Windsor, CT, USA).

Transwell migration assay

RAW264.7 cells were resuspended in DMEM at a density of 1 × 106 cells/ml, and 100 μl of resuspended cells were placed into the upper chamber of Transwell culture inserts (8-μm pore size) in 24-well plates (Corning, Corning, NY, USA). Quantities of 600 μl of DMEM or CM from each cell line were applied in the bottom chamber for 5 h to test the chemoattractant activity. Cells on the underside of the insert were fixed with 70% ethanol for 10 minutes and then stained with 0.2% crystal violet before rinsing to remove background staining and air-drying, followed by microscopic imaging.

Statistical analysis

All statistical analyses were done using Prism 7 software (GraphPad Software, La Jolla, CA, USA). Kaplan-Meier plots were generated to compare the tumorigenesis of nulliparous and multiparous 129:Stat1 −/− animals (Fig. 1). The difference was detected with the log-rank test. Similarly, Kaplan-Meier plots were created to compare the latency of palpable tumor onset between tumors transplanted to 129:Stat1 −/− or 129:WT hosts. The difference was detected with the log-rank test. The asymmetries of primary tumor occurrence between left-right and caudal-cephalad mammary fat pads (Additional file 1: Table S1) were tested with a binomial test.

Results

Tumor incidence and distribution

A total of 24 palpable mammary tumors developed in 20 female 129:Stat1 −/− mice. Tumors were detected in two tumor-bearing parous females before 1 year of age (at 32 and 47 weeks). The other 18 tumor-bearing mice developed tumors between the ages of 1 year (52 weeks) and 2.3 years (120 weeks). For comparison, 30 female 129:Stat1 −/− mice without palpable tumors were killed at various times beyond 52 weeks of age (Additional file 1: Table S2). The differences in time to tumor onset between parous and nulliparous females in our colony were significant (p = 0.038 by log-rank test), consistent with the initial report about the Washington University in St. Louis colony [2] that had an equally prolonged latency and incomplete (~53%) penetrance. Although the tumor incidence in our cohort remained consistent after 1 year of age (35%), subsequent pathological analysis revealed that surviving nulliparous females had mammary intraepithelial neoplasia (MIN) lesions, suggesting that the penetrance of mammary tumors could approach 100% were animals to age even further.
The 13 tumor-bearing nulliparous females ranged in age at tumor onset from 73 to 120 weeks, with 50% incidence at 91 weeks. The comparable 24 tumor-free nulliparous WT females covered a similar age range (53–120 weeks) and a similar average age when killed (83 weeks). Similar to a previous report [2], pregnancy shortened tumor latency from T 50 = 91 weeks to T 50 = 78 weeks. A comparable cohort of six tumor-free parous KO mice was examined (mean age 83 weeks, range 52–95 weeks). The fact that not all aged 129:Stat1 −/− animals were tumor-bearing within 120 weeks also suggests a stochastic component to tumor initiation in addition to the GMM intrinsic susceptibility (Fig. 1).
When these data are compared with the recorded or calculated T 50 from other GMM models that are KOs of tumor suppressor genes or employ a mammary-specific promoter driving the targeted expression of an oncogene, the 129:Stat1 −/− model stands out as being unique (Fig. 1). The T 50 for 129:Stat1 −/− is over three times the mean T 50 (28 weeks) of these other GMMs and 40 weeks longer than the closest model, MMTV-cMyc [31]. When compared with other GMMs using their respective Kaplan-Meier plots, the 129:Stat1 −/− model plot does not overlap with any of those for commonly reported models (Fig. 1).

Tumor topography

The palpable mammary tumors showed a notable cephalad (thoracic) to caudal (inguinal) dominance (Additional file 1: Table S1). Eighty-seven percent (21 of 24) of tumors were detected in the thoracic mammary fat pads (p = 0.0003 by binomial test) (Additional file 1: Table S1). These distributions are consistent with the topographical asymmetries previously described in other models and suggest that the local microenvironment influences tumor development [32]. In addition, the majority of palpable tumors were proximate to the nipple rather than at the periphery of the fat pad. These masses around or adjacent to the nipple can also explain the dilation and congestion of some more distal ducts (Additional file 2: Figure S1).

Necropsy pathology

Necropsy of the three subcohorts (129:WT, tumor-free 129:Stat1 −/− , and tumor-bearing 129:Stat1 −/− ) was performed with attention to microscopic mammary and nonmammary pathologies that may correlate with the tumor-bearing phenotype (Figs. 2 and 3). The older animals in all three cohorts shared sporadic conditions associated with aging, such as bronchioloalveolar adenoma, eosinophilic (crystalline) pneumonitis, atrophic cystic hyperplasia of the endometrium, segmental interstitial nephritis, ovaries with luteinized stroma and fewer Graafian follicles, and low-grade small cell lymphoma [33]. The adrenal glands, thyroid glands, pancreas, and pituitary glands were all disease-free. Significantly, the vaginal mucosa in all three cohorts had evidence of ovarian function at older ages. For example, at 96 weeks of age, the vaginal mucosa of both KO and WT displayed cornification (estrus), inflammation (metestrus), or mucinous differentiation (proestrus). The vaginal mucosa is a standard histological indication of stage of the estrous cycle (see Fig. 3). In contrast, the mammary glands and ovaries had features unique to each cohort, as described below (Figs. 2 and 3).

129:WT

Two 129:WT females were held until 97 weeks. One female was parous and had eosinophilic pneumonitis, a polycystic nonproliferative endometrium, and luteinized ovarian stroma with scattered follicles. One ovarian bursa was cystically dilated. The mammary glands had mild lobuloalveolar development with scattered inflammatory (squamous) nodules, consistent with persistent postinvolutional hyperplasia [34]. The mammary glands of the nulliparous 97-week-old female were devoid of inflammatory nodules and hyperplasia. The uterus and ovaries of the two mice were similar in that they had a cystic endometrium and luteinized ovarian stroma with reduced follicles.

129:Stat1 −/−

The 129:Stat1 −/− mice younger than 32 weeks old (n = 42) did not have detectable histopathology in any of their organs. The mammary glands of non-tumor-bearing 129:Stat1 −/− females that were aged 52 weeks or older (n = 32) were also examined. Of the older nulliparous females without tumors, three had microscopic MIN in their mammary glands (Fig. 2). In contrast, the mammary glands of fifteen of the twenty-three 129:Stat1 −/− females bearing preneoplastic MIN or tumors had various hyperplastic and dysplastic features (Fig. 2e, f).
Mammary glands in 12 of the 20 tumor-bearing animals also had lobuloalveolar hyperplasia that sometimes obscured the MIN at the gross examination level. The remaining eight females had sparsely branched mammary ductal networks. The lobuloalveolar hyperplasia in 9 of 13 nulliparous tumor-bearing females is noteworthy because these animals had not been pregnant or exposed to the associated hormonal environment. In addition, most of these animals had dilated mammary ducts filled with proteinaceous “milky” white fluid (Additional file 2: Figure S1). The heterogeneity of mammary development was striking where different levels and patterns of lobuloalveolar development were present in the same mammary gland (Fig. 2e). The other four nulliparous tumor-bearing females had underdeveloped and stunted mammary ductal networks that failed to fill the fat pad [7].

Ovaries

All 129:Stat1 −/− females older than 1 year of age had periovarian or ovarian tubules identified as mesonephric or rete tubules [35, 36] (Fig. 3a). In addition, thirty-one of the fifty 129:Stat1 −/− females had ovaries with multiple cysts, some of which completely ablated the ovaries (Fig. 3b). Most cysts were lined by a simple attenuated epithelium. However, many ovarian cysts were lined by a tall columnar epithelium with apical nuclei signifying them as rete cysts (Fig. 3c) [36]. Notably, in this specific case, the contralateral ovary was obliterated by a highly vascular hemorrhagic mass (Fig. 3d). However, the vagina had a mucinous epithelium indicative of proestrus and continued estrous cyclicity (Fig. 3d). One 84-week-old tumor-bearing female had histologically normal ovaries with multiple Graafian follicles. Ovaries without cysts showed luteinized stroma and reduced germinal follicles. Therefore, tumorigenesis did occur in the absence of ovarian cysts, and not all mice/females with ovarian cysts developed mammary tumors.

Uterus

The uterus of 129:Stat1 −/− mice tended to be hypervascular, where five females had dense tangles of vessels that were classified as hemangiomas. These uteri had frequent dilated vessels with blood and fibrin thrombi. One tumor-bearing animal had a stromal sarcoma of the uterus, and another had an endometrial focus consistent with adenocarcinoma.

Origin and evolution of Stat1-null tumors

The early, preinvasive MIN lesions in 129:Stat1 −/− females have been mentioned previously without morphologic descriptions [2, 17]. These lesions are atypical foci that stand out from the surrounding normal mammary epithelium but remain confined within the basement membrane (Figs. 2 and 4), thus fitting the morphological criteria for MIN [4, 37]. These MIN could be found contiguous or adjacent to invasive tumors as well as in nontumorous glands and ducts of 129:Stat1 −/− tumor-bearing females, as well as in some tumor-free females older than 52 weeks. These MIN never occurred in 129:WT females, including two 97-week-old females, or in disease-free 129:Stat1 −/− females younger than 1 year of age (n = 42).
The Stat1-null MIN are small, nonpalpable, and not easily identified by gross inspection. Obvious lesions can be identified at the subgross level in mammary gland whole mounts as discrete, hypercellular foci that stand out from the background, typically as solid ducts, micronodular clusters, or small cysts (Fig. 4, Additional file 2: Figure S2e–g). The smaller MIN were not associated with a significant host response. The larger, presumably more advanced lesions were surrounded by a significant host inflammatory response that had a rich mast cell component but were composed primarily of T cells, macrophages, and increased vascularity (Fig. 4d, Additional file 2: Figure S2h). The distribution of MIN in affected glands was restricted to one or several ducts of the mammary network, whereas adjacent ducts had normal histology and cytology (Fig. 5a, b).
Microscopically, the MIN were characterized by clusters of unique atypical cells that stood out from the adjacent MEC. These dysplastic cells had large, oval, moderately pleomorphic nuclei with an open chromatin pattern and prominent nucleoli with abundant pale cytoplasm (LOP cells) (Fig. 6a, Additional file 2: Figure S3). These LOP cells are large relative to adjacent luminal and basal MECs (Fig. 6, Additional file 2: Figure S3). In addition, LOP cells in MIN and associated malignancies were KRT8/18+, with some also being KRT14+ but negative for smooth muscle actin (Additional file 2: Figure S4). The LOP cells were further characterized using multiplexed immunofluorescence, which revealed nuclear staining for FoxA1 in neoplastic EpCAM+ luminal cells and in sparse populations of KRT14+ basal-like cells, suggesting that FoxA1+ cells within MIN might be pluripotent (Fig. 6g, g′). The cells in Stat1-null invasive carcinomas (tumors) shared these immunophenotypic characteristics.
Neoplasms in Stat1-null mice contained LOP cells within MIN (Figure 6b, c; Additional file 2: Figure S5). These LOP cells were also interspersed among normal ductal MECs along relatively normal ducts (Fig. 6a, b, and df; Additional file 2: Figure S5). In general, the LOP cells appear to be more basally oriented but remained inside the myoepithelial layer (suprabasal). In some presumably more advanced cases, small collections of LOP cells appeared as multicellular nodules along the ducts (Figs. 5 and 6). In other instances, these LOP cell nodules formed outgrowths attached to but bulging out from the main duct (Fig. 5, Additional file 2: Figure S1). These nodules resembled abortive ductal side buds in normal mammary glands.
The distribution of LOP cells and MIN was restricted to one or several ducts of the mammary network in affected glands (Fig. 5), whereas the other adjacent ducts had an entirely normal histology and associated cytology (Fig. 5). The LOP cells in the “diseased” duct were FoxA1+, ER+, and PR+ (Fig. 6, Additional file 2: Figure S6). Further, laser capture-microdissected samples from the diseased duct illustrated in Fig. 5 were extracted, and exon 10 of the PRLR was sequenced. The specific duct (right inguinal mammary gland) contained three separate nontruncating single-nucleotide variants. In contrast, the adjacent ducts and lymph node had a normal WT PRLR sequence, whereas the palpable mammary tumor in the same animal’s left thoracic mammary gland was heterozygous for a truncating PRLR mutation similar to those previously described [17].

Tumor microscopic description

The microscopic characteristics of the 129:Stat1 −/− tumors have been described previously and display consistently similar morphologic phenotypes from tumors in one mouse to tumors in the next (low intertumoral heterogeneity) [2]. In contrast, spontaneous tumors from Trp53- and Brca1-KO mice, as well as from pregnancy-induced Balb/c:Stat1 −/− tumors, have a mixture of tumor types, with basal-like and “Wnt pathway” phenotypes being predominant [5, 21, 38]. Balb/c:Stat1 −/− mice crossed with mice expressing other oncogenes develop tumors with phenotypes identical to those of the oncogenic transgene [1820]. The signature 129:Stat1 −/− tumor phenotype consists of nodular nests of cells with large oval nuclei and abundant pale cytoplasm. These cells are cytologically identical to the LOP cells found in MIN. Eighty percent to 95% of these cells in MIN and tumors were immunopositive for ER, PR, and FoxA1 (Fig. 4, Additional file 2: Figures S5 and S6).

Invasion and metastasis

In contrast to the expansile margins found in most mouse mammary tumors [5], Stat1-null tumors are characterized by local invasion into the surrounding tissues (Additional file 2: Figure S7a). Metastasis to local mammary lymph nodes was observed in three tumor-bearing KO mice (Additional file 2: Figure S7b). Occasional vascular invasion was also observed (Additional file 2: Figure S7c and d). However, only one tumor-bearing animal had micrometastases to the lung, which is the most common site of metastasis in GMM models [5]. There was no evidence of metastasis to other organs.

Test by transplantation

A more detailed study of the 129:Stat1 −/− neoplastic growth was performed by transplanting both primary MIN and tumor tissues. Multiple attempts to isolate and transplant MIN-type lesions in syngeneic WT mice failed to produce an outgrowth line. However, primary tumors were readily transplanted into the intact mammary glands of young WT female mice and into young, age-matched 129:Stat1 −/− female mice (Fig. 7). Interestingly, transplants into young WT hosts became palpable and attained volume endpoints sooner than the same tumor transplanted into young 129:Stat1 −/− hosts (p = 0.021 by log-rank test). Once tumors were palpable, their growth rates were similar (Additional file 2: Figure S8). Thus, when the experiments were terminated at 53 days, the tumor volumes in the WT hosts were 10 to 100 times greater than those in the KO hosts (p = 0.0295 by t test). This finding is comparable to that for transplanting normal mammary epithelium reported previously [7], which suggested that the mammary stroma of young (6–12 weeks old) 129:Stat1 −/− mice is less supportive of tumor growth than stroma in age-matched WT hosts.

Host response

The Stat1 −/− tumors exhibited a pronounced local inflammatory response at the interface of tumor cells and surrounding stroma. In contrast to mammary tumors from other GMM models [5], each 129:Stat1 −/− tumor was surrounded by a thick mantle of host inflammatory cells and fibrosis (Fig. 7, Additional file 2: Figure S9). The inflammation consisted primarily of a nearly equal mixture of F4/80+ macrophages and CD3+ T lymphocytes in tumor-adjacent stroma. Quantitation of IHC marker-positive cell density in tumor and tumor-associating stroma in spontaneous Stat1-null tumors (Additional file 2: Figure S9) indicated tumor-infiltrated F4/80+ cells were at a significantly (p < 0.0001) lower density (6 cells/mm2, SE = 2) than the cellular density in the stroma (2580 cells/mm2, SE = 473). CD3+ cells were also significantly (p < 0.0001) less densely populated in tumors (262 cells/mm2, SE = 59) compared with the stroma (3590 cells/mm2, SE = 439). Thus, significantly fewer immune cells penetrated the tumor, with more intratumoral infiltration of T lymphocytes than macrophages. In addition, the density of B-cell lymphocytes was significantly (p < 0.0001) lower in tumors (34 cells/mm2, SE = 6) than in the stroma (381 cells/mm2, SE = 64), and the total number of B cells was significantly lower than both macrophages (p = 0.0002) and T lymphocytes (p = 0.0001).
The microenvironmental effect was further characterized in the grafts where primary tumor tissue was transplanted into mammary glands in WT host or KO host animals. The IHC results showed a predominance of F4/80+ macrophages and CD3+ T-lymphocytes in the tumor-associated stroma (Fig. 7cf). The mean density of F4/80+ cells in the tumor interstices from a WT host was 19 cells/mm2 (SE = 3). By comparison, there was a significantly higher density of F4/80+ cells in the surrounding WT stroma (2472 cells/mm2, SE = 243). Similarly, transplants of the same primary tumor into the age-matched KO host also showed a predominance of macrophages in the stroma, with only 5 cells/mm2 (SE = 2) in the tumor interstices and 2102 cells/mm2 (SE = 233) in the stroma. The density of tumor-infiltrated macrophages was significantly higher in the tumors engrafted into a WT host than either the KO host or the spontaneous Stat1-null tumors (Additional file 2: Figure S9b). Similarly, CD3+ T lymphocytes were found in greater density in the stroma of WT hosts (1990 cells/mm2, SE = 218) than in the tumors (463 cells/mm2, SE = 54) (p < 0.0001). CD3+ cell density in KO hosts was significantly lower in both tumors (353 cells/mm2, SE = 65) and stroma (1530 cells/mm2, SE = 194) than in the WT hosts, but the CD3+ cell density was still higher in stroma than in tumors (Additional file 2: Figure S9d). The ratios of tumor-infiltrated immune cells to total cell count in WT, KO host, and spontaneous Stat1-null tumors were 8%, 4.5%, and 2.2%, respectively, for CD3+ T lymphocytes and 0.77%, 0.24%, and 0.23% for F4/80 macrophages, respectively. In contrast, the cell density of B lymphocytes in stroma was lower in transplants than spontaneous 129:Stat1 −/− tumors. The density of B lymphocytes was higher in the stroma of WT hosts than the tumors, but there was no significant difference between the tumor and stroma in KO hosts (Additional file 2: Figure S9f). Thus, as with the primary tumors, the host immune cells, especially macrophages, rarely invaded the interstices of solid tumors. This pattern of immune cell reaction to tumors has been described as the “excluded infiltrate” phenotype, in contrast to tumors with a sparse or absent immune reaction, as well as those with an intratumoral “inflamed” phenotype [39].

Macrophage migration assays

Given the abundance of macrophages in the tumor-associated stroma (Fig. 7, Additional file 2: Figure S9), we reasoned that Stat1-null tumors might secrete macrophage chemoattractants. To test this possibility, migration assays with the RAW264.7 macrophage cell line were performed using CM from (1) the Stat1 −/− tumor cell line SSM2, (2) the Stat1 +/+ normal MECs (EpH4, EpH3) and the polyoma middle T-induced mammary tumor cell line Met1, and (4) the Neu-induced mammary tumor cell line NDL. Migration of GFP-H2B-transduced macrophages on 2D plastic was monitored using time-lapse imaging to record track length and time of the mobile cell nuclei.
Macrophages exposed to CM from the Stat1-null tumor cell line SSM2, compared with CM from the other three cell lines, had shorter track lengths for each time-lapse interval and moved more slowly (Fig. 8af). Transwell migration assays also confirmed there was less migration by RAW264.7 cells exposed to SSM2-CM than by the other three cell lines (Fig. 8g). These experiments suggest that Stat1-null cells either secrete less chemoattractant or secrete factors that inhibit macrophage migration.
To distinguish between these and other possibilities, SSM2-CM was mixed with the markedly stronger chemoattractive Met1-CM, and we compared this mixture with DMEM/Met1 using the cell-tracking technique (Fig. 8h). Whereas the mixture of Met1-CM and DMEM (50%/50%) resulted in significant movement of RAW264.7 cells, the mixture of Met1-CM and SSM2-CM (50%/50%) reduced the track length of Met1-CM to the level of DMEM alone (Fig. 8g). This supports the notion that SSM2-CM inhibits macrophage migration. This finding is also consistent with the observation of macrophage exclusion from the Stat1-KO tumors.
The above results did not, however, explain the dense accumulation of macrophages observed in the stroma surrounding tumors (Fig. 7, Additional file 2: Figure S9), raising the possibility that 129:Stat1 −/− cells might secrete factors that can both stimulate and inhibit macrophage migration. Recent studies have shown that EVs/exosomes can stimulate macrophage migration [40], which could explain the attraction of macrophages to the tumor-associated stroma. To test this possibility, Met1-CM and SSM2-CM were fractionated into EV-rich and soluble factor-rich portions using ultracentrifugation. The effects of these fractions on RAW264.7 cell migration were subsequently tested using the Transwell migration assay. Both the supernatant (soluble portion) and EV-rich fraction of Met1-CM induced higher levels of macrophage migration than the same fractions from SSM2-CM (Fig. 8i). Interestingly, the SSM2 EV-rich fraction induced more macrophages to migrate than the soluble fraction of SSM2-CM in the Transwell migration assay (Fig. 8i). The migration is notably comparable to that of the undiluted, noncentrifuged SSM2 media (Fig. 8g). This suggests that factors secreted as EVs from Stat1-null tumors are more attractive to macrophages than factors in the soluble portion that inhibit macrophage migration. These could prevent macrophages from infiltrating the tumor, helping to create the excluded infiltrate phenotype.

Discussion

In the 129:Stat1 −/− model of breast cancer, germline deletion results in host, stromal, and epithelial changes that de-suppress mammary adenocarcinoma [2]. These tumors differ from those arising in mice harboring other Stat1-targeting KO constructs or in other mice that are knocked out for tumor suppressor genes such as Trp53 or Brca1. 129:Stat1 −/− tumors share a signature histological and cytological phenotype, with ER+, PR+, and FoxA1+ LOP cells. This degree of tumor homogeneity suggests that the same oncogenic driver leads to tumorigenesis [38]. In our experience, the other tumor suppressor KO models develop a variety of tumor types, suggesting they involve a diversity of oncogenic drivers [5].
Consideration of oncogenesis in this Stat1 −/− model requires integrating the disease state within the context of animal aging. We report that mammary tumorigenesis in 129:Stat1 −/− mice is associated with important pathological features that make this model comparable to human luminal breast cancers. These include ductal origin, topographical asymmetry, age-related ablation of the ovaries, endocrine regulation, host immune response, and tumor-secreted factors. Taken together, this model uniquely reflects host-tumor relationships in an aging host during mammary tumorigenesis.

Epithelial fitness: aging and pregnancy

The majority of human breast cancers occur in older postmenopausal women. Ironically, this is the first mouse model that directly relates age to mammary tumorigenesis. The prolonged latency and acceleration of tumorigenesis following pregnancy are two key features of tumorigenesis in 129:Stat1 −/− females. Because the STAT1 deficiency is a germline mutation, the emergence of tumors requires secondary mutations and/or other adaptations within the microenvironment. The prolonged latency supports the “adaptive oncogenesis” theory, which postulates that changes in the host microenvironment facilitate the expansion of preexisting mutant populations [41]. Altered “fitness” then favors the emergence of specific subsets of mutated cells adapted for the new, aging environment. Although well-documented in the hematopoietic system [42, 43], the aging microenvironment in breast cancer has only recently been reviewed in detail [8].
Although “aging” in mice may vary with strain, animals aged 58 weeks or older can generally be considered “old” [44]. Mice in the present study were aged 30 to 120 weeks (2.3 years), with 38 being older than 70 weeks, which enabled documentation of numerous age-related pathological changes. The most dramatic nonmammary morphological changes in the aging 129:Stat1 −/− mice occurred in the uterus and ovaries. Whereas rete cysts of the ovary were found in aging 129:Stat1 −/− animals, they were present in both tumor-free and tumor-bearing animals and thus cannot be considered causal. Nonetheless, they provide direct morphological evidence of age-related changes in the ovary reflecting endocrine changes in an age-related environmental milieu.
Pregnancy accelerated tumorigenesis in 129:Stat1 −/− females and reduced the median tumor onset from 91 weeks of age in nulliparous females to 78 weeks. Studies of mouse mammary tumors in virus-induced and GMM models have consistently shown that pregnancy accelerates tumorigenesis. This phenomenon has generally been ascribed to the hormone responsiveness of MMTV-LTR and/or other mammary-specific promoters. Our previous mammary development experiments demonstrated that the mammary fat pads of young 129:Stat1 −/− mice were deficient in locally derived stromal cytokines and did not support optimal growth of the normal and neoplastic mammary epithelium, but they could be reversed by administering exogenous PRL and progesterone [2]. In the present study, we show that transplant of primary tumors into young nulliparous 129:Stat1 −/− female hosts resulted in much slower growth onset than in age-matched WT hosts (Additional file 2: Figure S8).
PRL signaling appears to be a critical molecular pathway in the etiology of impaired mammary gland development and tumorigenesis in 129:Stat1 −/− mice, in keeping with the demonstration that heterozygous truncating PRLR mutations arise in invasive tumors and some of the MIN lesions [17]. Our finding that some of the intraductal proliferation of the FoxA1+/ER+ LOP cells and areas of MIN had nontruncating single-nucleotide variants for the PRLR suggests that these variants might be responsible for a weaker, possibly nonprogressing proliferation.
These data also highlight the potential relationship between PRLR and ER expression in mammary cancer. In the mammary glands of ovariectomized mice, exogenous PRL suppresses estrogen- and progesterone-induced proliferation [45], similar to findings in transgenic mice that overexpress local PRL [46]. Estrogen and PRL synergistically evoke epithelial proliferation in the mammary glands of pigs [47], whereas overexpression of local PRL in the mammary glands of mice leads to ER-positive mammary tumors [48], and PRL induces ER expression in cultured breast cancer cells [49]. However, cooperation between these two hormones to effect breast cancer cell proliferation varies in accordance with the physical properties of the cell’s microenvironment [50], where the combination of estrogen and PRL enhances breast cancer cell proliferation in stiff collagen but not in low-density collagen. Reciprocal ER and PRLR signaling in a fibrotic microenvironment around Stat1-null tumors may drive LOP cell proliferation.

Ductal progenitor cells, oval cells, and ducts

129:Stat1 −/− mammary carcinomas are exclusively FoxA1+ as well as ER+ and PR+. Recent evidence indicates that FoxA1, a “pioneer transcription factor” [5153], is necessary for ER expression [5355] and for branching morphogenesis in the mammary glands by maintaining ductal and alveolar luminal cell lineages from basal stem/progenitor cells [54]. ER+, PR+, and FoxA1+ MECs belong to a class of “hormone-sensing” (HS) MECs thought to be directly involved in mammary differentiation and in some human breast cancers [56]. These cells stand out in H&E-stained mammary ducts as morphologically unique, pale, basaloid or suprabasal cells (Additional file 2: Figure S5). They are abundant in mammary glands from young mice but are sparse in older mice (Additional file 2: Figure S5a–c). They resemble the oval clear cells in the mouse mammary gland described by Smith and Medina as “committed progenitor cells” [57, 58], as well as the suprabasal clear cells described in the human mammary gland [5962].
FoxA1 is expressed in ductal progenitor cells [63, 64]. The location and distribution of the morphologically unique FoxA1+ LOP cells identified in the present study are consistent with the notion that LOP cells represent a neoplastic form of suprabasal ductal HS-MEC progenitors [56]. The presence of FoxA1+/ER+/PR+ LOP cells in the 129:Stat1 −/− mammary ducts and neoplasms is also consistent with a ductal, rather than alveolar, origin of the tumors (Figs. 4, 5, and 6).
The LOP cells in 129:Stat1 −/− mammary glands are larger and more pleomorphic than either the FoxA1+ cells in normal ducts or the oval clear cells described by Smith and Medina [57, 58]. Individual LOP cells are present in some ducts associated with MIN and their malignant counterparts. The LOP cells also accumulate in tumor-free mammary glands and ducts as small, atypical lesions. As these lesions become larger, the LOP cells form small clumps along the involved mammary duct (Fig. 3), perhaps as abortive side branches (Figs. 4 and 6). This phenomenon is reminiscent of the aberrant branching morphogenesis in the developing 129:Stat1 −/− mammary gland [7], where excess abortive side buds are also present in other GMM models [65].

The sick lobe

The human terminal duct lobular unit (TDLU) has been identified as the most likely site of origin of most human breast cancers [6669]. Computer-assisted 3D reconstructions of the mammary tree of human breasts demonstrated that ductal carcinoma in situ (DCIS) is limited to a single lobe [70, 71], with “multifocality” confined to foci within a single “sick lobe” [72]. The “sick lobe hypothesis” is also supported by the observation that recurrent invasive cancers and DCIS are found at the site of the prior biopsy or excision that showed DCIS [73]. In contrast, the quiescent and nulliparous mouse mammary glands do not have a specific counterpart to the human TDLU, but they do have HS progenitor cells immune-positive for FoxA1 that are involved in ductal development [54]. As demonstrated here, potentially neoplastic Stat1-null progenitor LOP cells, marked by FoxA1, appear to be topographically limited to a single branch of the mouse mammary tree (Fig. 5).
This “branch” (lobe)-restricted oncogenesis has not been described in other GMM or other mouse models of breast cancer. Carcinogenesis in most GMM models uses alveolar MEC-specific promoters and strong oncogenic transgenes that potentially activate oncogenic pathways in all MECs, resulting in scattered neoplastic foci in all branches of any given mammary gland. By contrast, the 129:Stat1 −/− mouse appears to model relatively rare oncogenic events at the level of primary branches of the mammary tree originating in the ducts rather than the alveoli/TDLU. Thus, 129:Stat1 −/− tumorigenesis is a unique mouse model of human breast cancers originating from ducts within an at-risk clonally related segment/branch of the ductal tree and models the “sick lobe” of humans.

Tumor cell factors: protumor chemotaxis

Tumor cells influence their environment by paracrine-secreted and cell surface factors [23]. The host immune response to the primary MIN, tumors, and transplants was more intense and extensive than we observed in other GMM models without specific immunostimulatory interventions. Immune reactions to human cancers have been broadly categorized into “immune desert” with little or no immune cell infiltration, “inflamed” with abundant immune cell infiltration into tumor, and “immune excluded” where immune cells accumulate around the periphery of the tumor without infiltration [39]. The 129:Stat1 −/− tumors exhibit this “immune excluded” phenotype, whereas tumors resulting from activation of the ErbB2 or Wnt pathways have a scant host response, more like the “immune desert” phenotype [38, 74, 75]. In addition to connective tissue, a marked cellular response in Stat1 −/− neoplasms included macrophage and T-cell invasion and a scattering of granulocytic cells such as neutrophils and mast cells. Notably, macrophages have been implicated in the fibrotic response to cancer [40].
On the basis of the observation of a high tumor “excluded infiltrate” mononuclear density [39], we postulated that the Stat1-null tumor cells might mediate the host immune response through release of cytokines and other growth factors. Therefore, the Stat1-null tumor cell line SSM2 was used to study macrophage migration [7]. Our cell culture experiments suggest that Stat1-null tumor cells secrete both macrophage migration-promoting and macrophage migration-inhibiting factors, though we cannot distinguish between a direct and indirect microenvironmental effect. Nevertheless, our data show that chemokine secretions from Stat1 −/− tumor cells have dual effects that also help to explain the attraction but lack of penetrance of macrophages in vivo. Macrophages are known to have both tumor-suppressive and tumor-promoting capacity, depending on the context. For example, macrophages can induce fibrosis, contributing to the stiffened tumor-promoting stroma. Soluble inhibitory activity, meanwhile, prevents tumor-suppressive macrophage migration into the tumor cell interstices. This chemokine secretion from Stat1 −/− tumor cells is corroborated by the tissue localization and histopathology.

A model for tumor progression

Our observations suggest that Stat1-null LOP cells, combined with the age-related changes in the tumor microenvironment, contribute to the development of a malignant neoplasm (Fig. 9). In this model, hormonal and microenvironmental factors induce the expansion of a FoxA1+ progenitor population. Further expansion and transformation are the result of a rare event, often a somatic truncating PRLR mutation, that is stochastically favored by the increase in the susceptible progenitor population seen with age. The increase in these progenitors is also associated with aberrant side budding and cysts originating midduct. Progression to invasive carcinoma is preceded by a marked stromal response, suggesting that a critical mass of intraductal cells secreting chemokines is required to create a permissive/tumor-promoting microenvironment.

Conclusions

The incidence of human breast cancer increases with age, and luminal ER+ breast cancers are most frequent in this population. Although luminal breast cancers typically respond to hormone therapy and carry a better prognosis than other subtypes, this subtype accounts for the highest mortality in all age groups. Mouse models of this phenotype are rare, perhaps due to the difficulty in targeting the cell of origin for these cancers. Both “basal” and “luminal” phenotype tumors in GMM models and in human disease appear to arise from luminal progenitors [76, 77], whereas different cells of origin give rise to different tumor types [78]. Most GMM models with expression of transgenes under the control of hormone-responsive promoters such as MMTV-LTR or Wap generally yield ER-negative tumors primarily located in lobuloalveolar units that are presumably composed of alveolar MECs [1, 79]. Recent work using promoters from MEC progenitors, such as Lrg5, produce multilineage tumors [80]. In contrast to those studies, the 129:Stat1 −/− neoplastic LOP cells express ER and FoxA1, as well as STAT3, STAT5, PR, a truncating PRLR mutation, and downstream elements such as JAK2 and SOCS1 [16, 17]. As a result, a different type of cell, the hormone-sensitive LOP cell, has emerged as a cell of origin, with the resulting neoplasms originating from this ductal progenitor cell. Segmental expansion of the FoxA1+ LOP cell population occurs with advanced age and confers an increased risk of this ER+ phenotype cancer. In addition, the model, in either the native 129:Stat1 −/− mouse or transplanted into WT mice, shows a consistent immune reaction resistant to tumor immune cell infiltration, a phenotype also common in human cancers. Thus, 129:Stat1 −/− is a unique model for studying the critical origins and risk reduction strategies in age-related ER+ breast cancer in addition to preclinical trials of hormone and targeted therapies as well as immunotherapies.

Acknowledgements

We thank Judith E. Walls and Herlina Sugandha for histology and immunohistochemistry. Dr. Robert D. Schreiber (Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA) for sharing his mouse model and his discussions.

Funding

This research was supported by grants U01 CA196406 (ADB), U01 CA141541 and U01 CA141582 (RDC, ADB) from the National Cancer Institute’s Mouse Models of Human Cancers Consortium.

Availability of data and materials

N/A.

Ethics approval

Mice were housed in a vivarium according to National Institutes of Health guidelines, and all animal experiments were performed following procedures approved by the UC Davis Institutional Animal Care and Use Committee.
N/A.

Competing interests

The authors declare that they have no competing interests.

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Literatur
1.
Zurück zum Zitat Borowsky AD. Choosing a mouse model: experimental biology in context—the utility and limitations of mouse models of breast cancer. Cold Spring Harb Perspect Biol. 2011;3(9):a009670.CrossRefPubMedPubMedCentral Borowsky AD. Choosing a mouse model: experimental biology in context—the utility and limitations of mouse models of breast cancer. Cold Spring Harb Perspect Biol. 2011;3(9):a009670.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Chan SR, Vermi W, Luo J, Lucini L, Rickert C, Fowler AM, Lonardi S, Arthur C, Young LJ, Levy DE, et al. STAT1-deficient mice spontaneously develop estrogen receptor α-positive luminal mammary carcinomas. Breast Cancer Res. 2012;14(1):R16.CrossRefPubMedPubMedCentral Chan SR, Vermi W, Luo J, Lucini L, Rickert C, Fowler AM, Lonardi S, Arthur C, Young LJ, Levy DE, et al. STAT1-deficient mice spontaneously develop estrogen receptor α-positive luminal mammary carcinomas. Breast Cancer Res. 2012;14(1):R16.CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat van Bragt MP, Hu X, Xie Y, Li Z. RUNX1, a transcription factor mutated in breast cancer, controls the fate of ER-positive mammary luminal cells. Elife. 2014;3, e03881.PubMedPubMedCentral van Bragt MP, Hu X, Xie Y, Li Z. RUNX1, a transcription factor mutated in breast cancer, controls the fate of ER-positive mammary luminal cells. Elife. 2014;3, e03881.PubMedPubMedCentral
4.
Zurück zum Zitat Cardiff RD, Anver MR, Gusterson BA, Hennighausen L, Jensen RA, Merino MJ, Rehm S, Russo J, Tavassoli FA, Wakefield LM, et al. The mammary pathology of genetically engineered mice: the consensus report and recommendations from the Annapolis meeting. Oncogene. 2000;19(8):968–88.CrossRefPubMed Cardiff RD, Anver MR, Gusterson BA, Hennighausen L, Jensen RA, Merino MJ, Rehm S, Russo J, Tavassoli FA, Wakefield LM, et al. The mammary pathology of genetically engineered mice: the consensus report and recommendations from the Annapolis meeting. Oncogene. 2000;19(8):968–88.CrossRefPubMed
5.
Zurück zum Zitat Cardiff RD, Munn RJ, Galvez JJ. The tumor pathology of genetically engineered mice: a new approach to molecular pathology. In: Fox JG, Barthold SW, Davisson MT, Newcomer CE, Quimby FW, Smith AL, editors. The mouse in biomedical research. Vol. II: Diseases. 2nd ed. San Diego: Academic Press/Elsevier; 2007. p. 581–622.CrossRef Cardiff RD, Munn RJ, Galvez JJ. The tumor pathology of genetically engineered mice: a new approach to molecular pathology. In: Fox JG, Barthold SW, Davisson MT, Newcomer CE, Quimby FW, Smith AL, editors. The mouse in biomedical research. Vol. II: Diseases. 2nd ed. San Diego: Academic Press/Elsevier; 2007. p. 581–622.CrossRef
6.
Zurück zum Zitat Cardiff RD, Wellings SR. The comparative pathology of human and mouse mammary glands. J Mammary Gland Biol Neoplasia. 1999;4(1):105–22.CrossRefPubMed Cardiff RD, Wellings SR. The comparative pathology of human and mouse mammary glands. J Mammary Gland Biol Neoplasia. 1999;4(1):105–22.CrossRefPubMed
7.
Zurück zum Zitat Chen JQ, Mori H, Cardiff RD, Trott JF, Hovey RC, Hubbard NE, Engelberg JA, Tepper CG, Willis BJ, Khan IH, et al. Abnormal mammary development in 129:STAT1-null mice is stroma-dependent. PLoS One. 2015;10(6), e0129895.CrossRefPubMedPubMedCentral Chen JQ, Mori H, Cardiff RD, Trott JF, Hovey RC, Hubbard NE, Engelberg JA, Tepper CG, Willis BJ, Khan IH, et al. Abnormal mammary development in 129:STAT1-null mice is stroma-dependent. PLoS One. 2015;10(6), e0129895.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat LaBarge MA, Mora-Blanco EL, Samson S, Miyano M. Breast cancer beyond the age of mutation. Gerontology. 2016;62(4):434–42.CrossRefPubMed LaBarge MA, Mora-Blanco EL, Samson S, Miyano M. Breast cancer beyond the age of mutation. Gerontology. 2016;62(4):434–42.CrossRefPubMed
10.
Zurück zum Zitat Cardiff RD, Miller CH, Munn RJ, Galvez JJ. Structured reporting in anatomic pathology for coclinical trials: the caELMIR model. Cold Spring Harb Protoc. 2014;2014(1):32–43.CrossRefPubMed Cardiff RD, Miller CH, Munn RJ, Galvez JJ. Structured reporting in anatomic pathology for coclinical trials: the caELMIR model. Cold Spring Harb Protoc. 2014;2014(1):32–43.CrossRefPubMed
12.
Zurück zum Zitat Cardiff RD, Miller CH, Munn RJ. Analysis of mouse model pathology: a primer for studying the anatomic pathology of genetically engineered mice. Cold Spring Harb Protoc. 2014;2014(6):561–80.PubMed Cardiff RD, Miller CH, Munn RJ. Analysis of mouse model pathology: a primer for studying the anatomic pathology of genetically engineered mice. Cold Spring Harb Protoc. 2014;2014(6):561–80.PubMed
13.
Zurück zum Zitat Kaplan DH, Shankaran V, Dighe AS, Stockert E, Aguet M, Old LJ, Schreiber RD. Demonstration of an interferon gamma-dependent tumor surveillance system in immunocompetent mice. Proc Natl Acad Sci U S A. 1998;95(13):7556–61.CrossRefPubMedPubMedCentral Kaplan DH, Shankaran V, Dighe AS, Stockert E, Aguet M, Old LJ, Schreiber RD. Demonstration of an interferon gamma-dependent tumor surveillance system in immunocompetent mice. Proc Natl Acad Sci U S A. 1998;95(13):7556–61.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Meraz MA, White JM, Sheehan KC, Bach EA, Rodig SJ, Dighe AS, Kaplan DH, Riley JK, Greenlund AC, Campbell D, et al. Targeted disruption of the Stat1 gene in mice reveals unexpected physiologic specificity in the JAK-STAT signaling pathway. Cell. 1996;84(3):431–42.CrossRefPubMed Meraz MA, White JM, Sheehan KC, Bach EA, Rodig SJ, Dighe AS, Kaplan DH, Riley JK, Greenlund AC, Campbell D, et al. Targeted disruption of the Stat1 gene in mice reveals unexpected physiologic specificity in the JAK-STAT signaling pathway. Cell. 1996;84(3):431–42.CrossRefPubMed
15.
Zurück zum Zitat Späth GF, Schlesinger P, Schreiber R, Beverley SM. A novel role for Stat1 in phagosome acidification and natural host resistance to intracellular infection by Leishmania major. PLoS Pathog. 2009;5(4), e1000381.CrossRefPubMedPubMedCentral Späth GF, Schlesinger P, Schreiber R, Beverley SM. A novel role for Stat1 in phagosome acidification and natural host resistance to intracellular infection by Leishmania major. PLoS Pathog. 2009;5(4), e1000381.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Chan SR, Rickert CG, Vermi W, Sheehan KC, Arthur C, Allen JA, White JM, Archambault J, Lonardi S, McDevitt TM, et al. Dysregulated STAT1-SOCS1 control of JAK2 promotes mammary luminal progenitor cell survival and drives ERα+ tumorigenesis. Cell Death Differ. 2014;21(2):234–46.CrossRefPubMed Chan SR, Rickert CG, Vermi W, Sheehan KC, Arthur C, Allen JA, White JM, Archambault J, Lonardi S, McDevitt TM, et al. Dysregulated STAT1-SOCS1 control of JAK2 promotes mammary luminal progenitor cell survival and drives ERα+ tumorigenesis. Cell Death Differ. 2014;21(2):234–46.CrossRefPubMed
17.
Zurück zum Zitat Griffith OL, Chan SR, Griffith M, Krysiak K, Skidmore ZL, Hundal J, Allen JA, Arthur CD, Runci D, Bugatti M, et al. Truncating prolactin receptor mutations promote tumor growth in murine estrogen receptor-α mammary carcinomas. Cell Rep. 2016;17(1):249–60.CrossRefPubMedPubMedCentral Griffith OL, Chan SR, Griffith M, Krysiak K, Skidmore ZL, Hundal J, Allen JA, Arthur CD, Runci D, Bugatti M, et al. Truncating prolactin receptor mutations promote tumor growth in murine estrogen receptor-α mammary carcinomas. Cell Rep. 2016;17(1):249–60.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Klover PJ, Muller WJ, Robinson GW, Pfeiffer RM, Yamaji D, Hennighausen L. Loss of STAT1 from mouse mammary epithelium results in an increased Neu-induced tumor burden. Neoplasia. 2010;12(11):899–905.CrossRefPubMedPubMedCentral Klover PJ, Muller WJ, Robinson GW, Pfeiffer RM, Yamaji D, Hennighausen L. Loss of STAT1 from mouse mammary epithelium results in an increased Neu-induced tumor burden. Neoplasia. 2010;12(11):899–905.CrossRefPubMedPubMedCentral
19.
20.
Zurück zum Zitat Raven JF, Williams V, Wang S, Tremblay ML, Muller WJ, Durbin JE, Koromilas AE. Stat1 is a suppressor of ErbB2/Neu-mediated cellular transformation and mouse mammary gland tumor formation. Cell Cycle. 2011;10(5):794–804.CrossRefPubMed Raven JF, Williams V, Wang S, Tremblay ML, Muller WJ, Durbin JE, Koromilas AE. Stat1 is a suppressor of ErbB2/Neu-mediated cellular transformation and mouse mammary gland tumor formation. Cell Cycle. 2011;10(5):794–804.CrossRefPubMed
21.
Zurück zum Zitat Schneckenleithner C, Bago-Horvath Z, Dolznig H, Neugebauer N, Kollmann K, Kolbe T, Decker T, Kerjaschki D, Wagner KU, Muller M, et al. Putting the brakes on mammary tumorigenesis: loss of STAT1 predisposes to intraepithelial neoplasias. Oncotarget. 2011;2(12):1043–54.CrossRefPubMedPubMedCentral Schneckenleithner C, Bago-Horvath Z, Dolznig H, Neugebauer N, Kollmann K, Kolbe T, Decker T, Kerjaschki D, Wagner KU, Muller M, et al. Putting the brakes on mammary tumorigenesis: loss of STAT1 predisposes to intraepithelial neoplasias. Oncotarget. 2011;2(12):1043–54.CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Borowsky AD, Namba R, Young LJ, Hunter KW, Hodgson JG, Tepper CG, McGoldrick ET, Muller WJ, Cardiff RD, Gregg JP. Syngeneic mouse mammary carcinoma cell lines: two closely related cell lines with divergent metastatic behavior. Clin Exp Metastasis. 2005;22(1):47–59.CrossRefPubMed Borowsky AD, Namba R, Young LJ, Hunter KW, Hodgson JG, Tepper CG, McGoldrick ET, Muller WJ, Cardiff RD, Gregg JP. Syngeneic mouse mammary carcinoma cell lines: two closely related cell lines with divergent metastatic behavior. Clin Exp Metastasis. 2005;22(1):47–59.CrossRefPubMed
23.
Zurück zum Zitat Shao Y, Shen Y, Chen T, Xu F, Chen X, Zheng S. The functions and clinical applications of tumor-derived exosomes. Oncotarget. 2016;7(37):60736–51.CrossRefPubMedPubMedCentral Shao Y, Shen Y, Chen T, Xu F, Chen X, Zheng S. The functions and clinical applications of tumor-derived exosomes. Oncotarget. 2016;7(37):60736–51.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Mori H, Soonsawad P, Schuetter L, Chen Q, Hubbard NE, Cardiff RD, Borowsky AD. Introduction of zinc-salt fixation for effective detection of immune cell-related markers by immunohistochemistry. Toxicol Pathol. 2015;43(6):883–9.CrossRefPubMedPubMedCentral Mori H, Soonsawad P, Schuetter L, Chen Q, Hubbard NE, Cardiff RD, Borowsky AD. Introduction of zinc-salt fixation for effective detection of immune cell-related markers by immunohistochemistry. Toxicol Pathol. 2015;43(6):883–9.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Stack EC, Wang C, Roman KA, Hoyt CC. Multiplexed immunohistochemistry, imaging, and quantitation: a review, with an assessment of tyramide signal amplification, multispectral imaging and multiplex analysis. Methods. 2014;70(1):46–58.CrossRefPubMed Stack EC, Wang C, Roman KA, Hoyt CC. Multiplexed immunohistochemistry, imaging, and quantitation: a review, with an assessment of tyramide signal amplification, multispectral imaging and multiplex analysis. Methods. 2014;70(1):46–58.CrossRefPubMed
26.
Zurück zum Zitat Miller JK, Shattuck DL, Ingalla EQ, Yen L, Borowsky AD, Young LJ, Cardiff RD. Carraway 3rd KL, Sweeney C. Suppression of the negative regulator LRIG1 contributes to ErbB2 overexpression in breast cancer. Cancer Res. 2008;68(20):8286–94.CrossRefPubMedPubMedCentral Miller JK, Shattuck DL, Ingalla EQ, Yen L, Borowsky AD, Young LJ, Cardiff RD. Carraway 3rd KL, Sweeney C. Suppression of the negative regulator LRIG1 contributes to ErbB2 overexpression in breast cancer. Cancer Res. 2008;68(20):8286–94.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Cardiff RD, Hubbard NE, Engelberg JA, Munn RJ, Miller CH, Walls JE, Chen JQ, Velasquez-Garcia HA, Galvez JJ, Bell KJ, et al. Quantitation of fixative-induced morphologic and antigenic variation in mouse and human breast cancers. Lab Invest. 2013;93(4):480–97.CrossRefPubMed Cardiff RD, Hubbard NE, Engelberg JA, Munn RJ, Miller CH, Walls JE, Chen JQ, Velasquez-Garcia HA, Galvez JJ, Bell KJ, et al. Quantitation of fixative-induced morphologic and antigenic variation in mouse and human breast cancers. Lab Invest. 2013;93(4):480–97.CrossRefPubMed
28.
Zurück zum Zitat Kanda T, Sullivan KF, Wahl GM. Histone-GFP fusion protein enables sensitive analysis of chromosome dynamics in living mammalian cells. Curr Biol. 1998;8(7):377–85.CrossRefPubMed Kanda T, Sullivan KF, Wahl GM. Histone-GFP fusion protein enables sensitive analysis of chromosome dynamics in living mammalian cells. Curr Biol. 1998;8(7):377–85.CrossRefPubMed
29.
Zurück zum Zitat Ghajar CM, Peinado H, Mori H, Matei IR, Evason KJ, Brazier H, Almeida D, Koller A, Hajjar KA, Stainier DY, et al. The perivascular niche regulates breast tumour dormancy. Nat Cell Biol. 2013;15(7):807–17.CrossRefPubMedPubMedCentral Ghajar CM, Peinado H, Mori H, Matei IR, Evason KJ, Brazier H, Almeida D, Koller A, Hajjar KA, Stainier DY, et al. The perivascular niche regulates breast tumour dormancy. Nat Cell Biol. 2013;15(7):807–17.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Mori H, Bhat R, Bruni-Cardoso A, Chen EI, Jorgens DM, Coutinho K, Louie K, Bowen BB, Inman JL, Tecca V, et al. New insight into the role of MMP14 in metabolic balance. PeerJ. 2016;4, e2142.CrossRefPubMedPubMedCentral Mori H, Bhat R, Bruni-Cardoso A, Chen EI, Jorgens DM, Coutinho K, Louie K, Bowen BB, Inman JL, Tecca V, et al. New insight into the role of MMP14 in metabolic balance. PeerJ. 2016;4, e2142.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Cardiff RD, Sinn E, Muller W, Leder P. Transgenic oncogene mice: tumor phenotype predicts genotype. Am J Pathol. 1991;139(3):495–501.PubMedPubMedCentral Cardiff RD, Sinn E, Muller W, Leder P. Transgenic oncogene mice: tumor phenotype predicts genotype. Am J Pathol. 1991;139(3):495–501.PubMedPubMedCentral
32.
Zurück zum Zitat Veltmaat JM, Ramsdell AF, Sterneck E. Positional variations in mammary gland development and cancer. J Mammary Gland Biol Neoplasia. 2013;18(2):179–88.CrossRefPubMedPubMedCentral Veltmaat JM, Ramsdell AF, Sterneck E. Positional variations in mammary gland development and cancer. J Mammary Gland Biol Neoplasia. 2013;18(2):179–88.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Brayton CF, Treuting PM, Ward JM. Pathobiology of aging mice and GEM: background strains and experimental design. Vet Pathol. 2012;49(1):85–105.CrossRefPubMed Brayton CF, Treuting PM, Ward JM. Pathobiology of aging mice and GEM: background strains and experimental design. Vet Pathol. 2012;49(1):85–105.CrossRefPubMed
34.
Zurück zum Zitat Nieto AI, Shyamala G, Galvez JJ, Thordarson G, Wakefield LM, Cardiff RD. Persistent mammary hyperplasia in FVB/N mice. Comp Med. 2003;53(4):433–8.PubMed Nieto AI, Shyamala G, Galvez JJ, Thordarson G, Wakefield LM, Cardiff RD. Persistent mammary hyperplasia in FVB/N mice. Comp Med. 2003;53(4):433–8.PubMed
35.
Zurück zum Zitat Lee SH, Ichii O, Otsuka S, Elewa YH, Namiki Y, Hashimoto Y, Kon Y. Ovarian cysts in MRL/MpJ mice are derived from the extraovarian rete: a developmental study. J Anat. 2011;219(6):743–55.CrossRefPubMedPubMedCentral Lee SH, Ichii O, Otsuka S, Elewa YH, Namiki Y, Hashimoto Y, Kon Y. Ovarian cysts in MRL/MpJ mice are derived from the extraovarian rete: a developmental study. J Anat. 2011;219(6):743–55.CrossRefPubMedPubMedCentral
36.
Zurück zum Zitat Long GG. Apparent mesonephric duct (rete anlage) origin for cysts and proliferative epithelial lesions in the mouse ovary. Toxicol Pathol. 2002;30(5):592–8.CrossRefPubMed Long GG. Apparent mesonephric duct (rete anlage) origin for cysts and proliferative epithelial lesions in the mouse ovary. Toxicol Pathol. 2002;30(5):592–8.CrossRefPubMed
37.
Zurück zum Zitat Cardiff RD, Anver MR, Boivin GP, Bosenberg MW, Maronpot RR, Molinolo AA, Nikitin AY, Rehg JE, Thomas GV, Russell RG, et al. Precancer in mice: animal models used to understand, prevent, and treat human precancers. Toxicol Pathol. 2006;34(6):699–707.CrossRefPubMed Cardiff RD, Anver MR, Boivin GP, Bosenberg MW, Maronpot RR, Molinolo AA, Nikitin AY, Rehg JE, Thomas GV, Russell RG, et al. Precancer in mice: animal models used to understand, prevent, and treat human precancers. Toxicol Pathol. 2006;34(6):699–707.CrossRefPubMed
38.
Zurück zum Zitat Rosner A, Miyoshi K, Landesman-Bollag E, Xu X, Seldin DC, Moser AR, MacLeod CL, Shyamala G, Gillgrass AE, Cardiff RD. Pathway pathology: histological differences between ErbB/Ras and Wnt pathway transgenic mammary tumors. Am J Pathol. 2002;161(3):1087–97.CrossRefPubMedPubMedCentral Rosner A, Miyoshi K, Landesman-Bollag E, Xu X, Seldin DC, Moser AR, MacLeod CL, Shyamala G, Gillgrass AE, Cardiff RD. Pathway pathology: histological differences between ErbB/Ras and Wnt pathway transgenic mammary tumors. Am J Pathol. 2002;161(3):1087–97.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Hegde PS, Karanikas V, Evers S. The where, the when, and the how of immune monitoring for cancer immunotherapies in the era of checkpoint inhibition. Clin Cancer Res. 2016;22(8):1865–74.CrossRefPubMed Hegde PS, Karanikas V, Evers S. The where, the when, and the how of immune monitoring for cancer immunotherapies in the era of checkpoint inhibition. Clin Cancer Res. 2016;22(8):1865–74.CrossRefPubMed
40.
Zurück zum Zitat Costa-Silva B, Aiello NM, Ocean AJ, Singh S, Zhang H, Thakur BK, Becker A, Hoshino A, Mark MT, Molina H, et al. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat Cell Biol. 2015;17(6):816–26.CrossRefPubMed Costa-Silva B, Aiello NM, Ocean AJ, Singh S, Zhang H, Thakur BK, Becker A, Hoshino A, Mark MT, Molina H, et al. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat Cell Biol. 2015;17(6):816–26.CrossRefPubMed
41.
Zurück zum Zitat Henry CJ, Marusyk A, DeGregori J. Aging-associated changes in hematopoiesis and leukemogenesis: what’s the connection? Aging (Albany NY). 2011;3(6):643–56.CrossRef Henry CJ, Marusyk A, DeGregori J. Aging-associated changes in hematopoiesis and leukemogenesis: what’s the connection? Aging (Albany NY). 2011;3(6):643–56.CrossRef
42.
Zurück zum Zitat DeGregori J. Challenging the axiom: does the occurrence of oncogenic mutations truly limit cancer development with age? Oncogene. 2013;32(15):1869–75.CrossRefPubMed DeGregori J. Challenging the axiom: does the occurrence of oncogenic mutations truly limit cancer development with age? Oncogene. 2013;32(15):1869–75.CrossRefPubMed
43.
Zurück zum Zitat Rozhok AI, Salstrom JL, DeGregori J. Stochastic modeling indicates that aging and somatic evolution in the hematopoietic system are driven by non-cell-autonomous processes. Aging (Albany NY). 2014;6(12):1033–48.CrossRef Rozhok AI, Salstrom JL, DeGregori J. Stochastic modeling indicates that aging and somatic evolution in the hematopoietic system are driven by non-cell-autonomous processes. Aging (Albany NY). 2014;6(12):1033–48.CrossRef
44.
Zurück zum Zitat Flurkey K, Currer JM, Harrison DE. The mouse in aging research. In: Fox JG, Barthold SW, Davisson MT, Newcomer CE, Quimby FW, Smith AL, editors. The mouse in biomedical research. Volume III: Normative biology, husbandry, and models. 2nd ed. San Diego: Academic Press/Elsevier; 2007. p. 637–72.CrossRef Flurkey K, Currer JM, Harrison DE. The mouse in aging research. In: Fox JG, Barthold SW, Davisson MT, Newcomer CE, Quimby FW, Smith AL, editors. The mouse in biomedical research. Volume III: Normative biology, husbandry, and models. 2nd ed. San Diego: Academic Press/Elsevier; 2007. p. 637–72.CrossRef
45.
Zurück zum Zitat Hovey RC, Trott JF, Ginsburg E, Goldhar A, Sasaki MM, Fountain SJ, Sundararajan K, Vonderhaar BK. Transcriptional and spatiotemporal regulation of prolactin receptor mRNA and cooperativity with progesterone receptor function during ductal branch growth in the mammary gland. Dev Dyn. 2001;222(2):192–205.CrossRefPubMed Hovey RC, Trott JF, Ginsburg E, Goldhar A, Sasaki MM, Fountain SJ, Sundararajan K, Vonderhaar BK. Transcriptional and spatiotemporal regulation of prolactin receptor mRNA and cooperativity with progesterone receptor function during ductal branch growth in the mammary gland. Dev Dyn. 2001;222(2):192–205.CrossRefPubMed
46.
Zurück zum Zitat Arendt LM, Rugowski DE, Grafwallner-Huseth TA, Garcia-Barchino MJ, Rui H, Schuler LA. Prolactin-induced mouse mammary carcinomas model estrogen resistant luminal breast cancer. Breast Cancer Res. 2011;13(1):R11.CrossRefPubMedPubMedCentral Arendt LM, Rugowski DE, Grafwallner-Huseth TA, Garcia-Barchino MJ, Rui H, Schuler LA. Prolactin-induced mouse mammary carcinomas model estrogen resistant luminal breast cancer. Breast Cancer Res. 2011;13(1):R11.CrossRefPubMedPubMedCentral
47.
Zurück zum Zitat Horigan KC, Trott JF, Barndollar AS, Scudder JM, Blauwiekel RM, Hovey RC. Hormone interactions confer specific proliferative and histomorphogenic responses in the porcine mammary gland. Domest Anim Endocrinol. 2009;37(2):124–38.CrossRefPubMed Horigan KC, Trott JF, Barndollar AS, Scudder JM, Blauwiekel RM, Hovey RC. Hormone interactions confer specific proliferative and histomorphogenic responses in the porcine mammary gland. Domest Anim Endocrinol. 2009;37(2):124–38.CrossRefPubMed
48.
Zurück zum Zitat Rose-Hellekant TA, Arendt LM, Schroeder MD, Gilchrist K, Sandgren EP, Schuler LA. Prolactin induces ERα-positive and ERα-negative mammary cancer in transgenic mice. Oncogene. 2003;22(30):4664–74.CrossRefPubMedPubMedCentral Rose-Hellekant TA, Arendt LM, Schroeder MD, Gilchrist K, Sandgren EP, Schuler LA. Prolactin induces ERα-positive and ERα-negative mammary cancer in transgenic mice. Oncogene. 2003;22(30):4664–74.CrossRefPubMedPubMedCentral
49.
Zurück zum Zitat Ormandy CJ, Hall RE, Manning DL, Robertson JF, Blamey RW, Kelly PA, Nicholson RI, Sutherland RL. Coexpression and cross-regulation of the prolactin receptor and sex steroid hormone receptors in breast cancer. J Clin Endocrinol Metab. 1997;82(11):3692–9.PubMed Ormandy CJ, Hall RE, Manning DL, Robertson JF, Blamey RW, Kelly PA, Nicholson RI, Sutherland RL. Coexpression and cross-regulation of the prolactin receptor and sex steroid hormone receptors in breast cancer. J Clin Endocrinol Metab. 1997;82(11):3692–9.PubMed
50.
Zurück zum Zitat Barcus CE, Holt EC, Keely PJ, Eliceiri KW, Schuler LA. Dense collagen-I matrices enhance pro-tumorigenic estrogen-prolactin crosstalk in MCF-7 and T47D breast cancer cells. PLoS One. 2015;10(1), e0116891.CrossRefPubMedPubMedCentral Barcus CE, Holt EC, Keely PJ, Eliceiri KW, Schuler LA. Dense collagen-I matrices enhance pro-tumorigenic estrogen-prolactin crosstalk in MCF-7 and T47D breast cancer cells. PLoS One. 2015;10(1), e0116891.CrossRefPubMedPubMedCentral
51.
Zurück zum Zitat Jozwik KM, Carroll JS. Pioneer factors in hormone-dependent cancers. Nat Rev Cancer. 2012;12(6):381–5.CrossRefPubMed Jozwik KM, Carroll JS. Pioneer factors in hormone-dependent cancers. Nat Rev Cancer. 2012;12(6):381–5.CrossRefPubMed
54.
Zurück zum Zitat Liu Y, Zhao Y, Skerry B, Wang X, Colin-Cassin C, Radisky DC, Kaestner KH, Li Z. Foxa1 is essential for mammary duct formation. Genesis. 2016;54(5):277–85.CrossRefPubMedPubMedCentral Liu Y, Zhao Y, Skerry B, Wang X, Colin-Cassin C, Radisky DC, Kaestner KH, Li Z. Foxa1 is essential for mammary duct formation. Genesis. 2016;54(5):277–85.CrossRefPubMedPubMedCentral
55.
Zurück zum Zitat Bernardo GM, Keri RA. FOXA1: a transcription factor with parallel functions in development and cancer. Biosci Rep. 2012;32(2):113–30.CrossRefPubMed Bernardo GM, Keri RA. FOXA1: a transcription factor with parallel functions in development and cancer. Biosci Rep. 2012;32(2):113–30.CrossRefPubMed
56.
Zurück zum Zitat Tarulli GA, Laven-Law G, Shakya R, Tilley WD, Hickey TE. Hormone-sensing mammary epithelial progenitors: emerging identity and hormonal regulation. J Mammary Gland Biol Neoplasia. 2015;20(1-2):75–91.CrossRefPubMed Tarulli GA, Laven-Law G, Shakya R, Tilley WD, Hickey TE. Hormone-sensing mammary epithelial progenitors: emerging identity and hormonal regulation. J Mammary Gland Biol Neoplasia. 2015;20(1-2):75–91.CrossRefPubMed
57.
Zurück zum Zitat Smith GH, Medina D. A morphologically distinct candidate for an epithelial stem cell in mouse mammary gland. J Cell Sci. 1988;90(Pt 1):173–83.PubMed Smith GH, Medina D. A morphologically distinct candidate for an epithelial stem cell in mouse mammary gland. J Cell Sci. 1988;90(Pt 1):173–83.PubMed
58.
Zurück zum Zitat Chepko G, Smith GH. Mammary epithelial stem cells: our current understanding. J Mammary Gland Biol Neoplasia. 1999;4(1):35–52.CrossRefPubMed Chepko G, Smith GH. Mammary epithelial stem cells: our current understanding. J Mammary Gland Biol Neoplasia. 1999;4(1):35–52.CrossRefPubMed
59.
Zurück zum Zitat Smith CA, Monaghan P, Neville AM. Basal clear cells of the normal human breast. Virchows Arch A Pathol Anat Histopathol. 1984;402(3):319–29.CrossRefPubMed Smith CA, Monaghan P, Neville AM. Basal clear cells of the normal human breast. Virchows Arch A Pathol Anat Histopathol. 1984;402(3):319–29.CrossRefPubMed
60.
Zurück zum Zitat Stirling JW, Chandler JA. The fine structure of the normal, resting terminal ductal-lobular unit of the female breast. Virchows Arch A Pathol Anat Histol. 1976;372(3):205–26.CrossRefPubMed Stirling JW, Chandler JA. The fine structure of the normal, resting terminal ductal-lobular unit of the female breast. Virchows Arch A Pathol Anat Histol. 1976;372(3):205–26.CrossRefPubMed
61.
Zurück zum Zitat Stirling JW, Chandler JA. The fine structure of ducts and subareolar ducts in the resting gland of the female breast. Virchows Arch A Pathol Anat Histol. 1977;373(2):119–32.CrossRefPubMed Stirling JW, Chandler JA. The fine structure of ducts and subareolar ducts in the resting gland of the female breast. Virchows Arch A Pathol Anat Histol. 1977;373(2):119–32.CrossRefPubMed
62.
Zurück zum Zitat Toker C. Observations on the ultrastructure of a mammary ductule. J Ultrastruct Res. 1967;21(1):9–25.CrossRefPubMed Toker C. Observations on the ultrastructure of a mammary ductule. J Ultrastruct Res. 1967;21(1):9–25.CrossRefPubMed
63.
Zurück zum Zitat Shehata M, Teschendorff A, Sharp G, Novcic N, Russell IA, Avril S, Prater M, Eirew P, Caldas C, Watson CJ, et al. Phenotypic and functional characterisation of the luminal cell hierarchy of the mammary gland. Breast Cancer Res. 2012;14(5):R134.CrossRefPubMedPubMedCentral Shehata M, Teschendorff A, Sharp G, Novcic N, Russell IA, Avril S, Prater M, Eirew P, Caldas C, Watson CJ, et al. Phenotypic and functional characterisation of the luminal cell hierarchy of the mammary gland. Breast Cancer Res. 2012;14(5):R134.CrossRefPubMedPubMedCentral
64.
Zurück zum Zitat Taylor RA, Wang H, Wilkinson SE, Richards MG, Britt KL, Vaillant F, Lindeman GJ, Visvader JE, Cunha GR, St John J, et al. Lineage enforcement by inductive mesenchyme on adult epithelial stem cells across developmental germ layers. Stem Cells. 2009;27(12):3032–42.PubMed Taylor RA, Wang H, Wilkinson SE, Richards MG, Britt KL, Vaillant F, Lindeman GJ, Visvader JE, Cunha GR, St John J, et al. Lineage enforcement by inductive mesenchyme on adult epithelial stem cells across developmental germ layers. Stem Cells. 2009;27(12):3032–42.PubMed
65.
Zurück zum Zitat Andrechek ER, Hardy WR, Siegel PM, Rudnicki MA, Cardiff RD, Muller WJ. Amplification of the neu/erbB-2 oncogene in a mouse model of mammary tumorigenesis. Proc Natl Acad Sci U S A. 2000;97(7):3444–9.CrossRefPubMedPubMedCentral Andrechek ER, Hardy WR, Siegel PM, Rudnicki MA, Cardiff RD, Muller WJ. Amplification of the neu/erbB-2 oncogene in a mouse model of mammary tumorigenesis. Proc Natl Acad Sci U S A. 2000;97(7):3444–9.CrossRefPubMedPubMedCentral
66.
Zurück zum Zitat Jensen HM, Rice JR, Wellings SR. Preneoplastic lesions in the human breast. Science. 1976;191(4224):295–7.CrossRefPubMed Jensen HM, Rice JR, Wellings SR. Preneoplastic lesions in the human breast. Science. 1976;191(4224):295–7.CrossRefPubMed
67.
Zurück zum Zitat Wellings SR, Jensen HM. On the origin and progression of ductal carcinoma in the human breast. J Natl Cancer Inst. 1973;50(5):1111–8.CrossRefPubMed Wellings SR, Jensen HM. On the origin and progression of ductal carcinoma in the human breast. J Natl Cancer Inst. 1973;50(5):1111–8.CrossRefPubMed
68.
Zurück zum Zitat Wellings SR, Jensen HM, DeVault MR. Persistent and atypical lobules in the human breast may be precancerous. Experientia. 1976;32(11):1463–5.CrossRefPubMed Wellings SR, Jensen HM, DeVault MR. Persistent and atypical lobules in the human breast may be precancerous. Experientia. 1976;32(11):1463–5.CrossRefPubMed
69.
Zurück zum Zitat Wellings SR, Jensen HM, Marcum RG. An atlas of subgross pathology of the human breast with special reference to possible precancerous lesions. J Natl Cancer Inst. 1975;55(2):231–73.PubMed Wellings SR, Jensen HM, Marcum RG. An atlas of subgross pathology of the human breast with special reference to possible precancerous lesions. J Natl Cancer Inst. 1975;55(2):231–73.PubMed
70.
Zurück zum Zitat Going JJ. Lobar anatomy of human breast and its importance for breast cancer. In: Tot T, editor. Breast cancer: a lobar disease. London: Springer; 2011. p. 19–37. Going JJ. Lobar anatomy of human breast and its importance for breast cancer. In: Tot T, editor. Breast cancer: a lobar disease. London: Springer; 2011. p. 19–37.
71.
Zurück zum Zitat Going JJ, Mohun TJ. Human breast duct anatomy, the ‘sick lobe’ hypothesis and intraductal approaches to breast cancer. Breast Cancer Res Treat. 2006;97(3):285–91.CrossRefPubMed Going JJ, Mohun TJ. Human breast duct anatomy, the ‘sick lobe’ hypothesis and intraductal approaches to breast cancer. Breast Cancer Res Treat. 2006;97(3):285–91.CrossRefPubMed
73.
Zurück zum Zitat Sanders ME, Schuyler PA, Simpson JF, Page DL, Dupont WD. Continued observation of the natural history of low-grade ductal carcinoma in situ reaffirms proclivity for local recurrence even after more than 30 years of follow-up. Mod Pathol. 2015;28(5):662–9.CrossRefPubMed Sanders ME, Schuyler PA, Simpson JF, Page DL, Dupont WD. Continued observation of the natural history of low-grade ductal carcinoma in situ reaffirms proclivity for local recurrence even after more than 30 years of follow-up. Mod Pathol. 2015;28(5):662–9.CrossRefPubMed
74.
Zurück zum Zitat Haricharan S, Hein SM, Dong J, Toneff MJ, Aina OH, Rao PH, Cardiff RD, Li Y. Contribution of an alveolar cell of origin to the high-grade malignant phenotype of pregnancy-associated breast cancer. Oncogene. 2014;33(50):5729–39.CrossRefPubMed Haricharan S, Hein SM, Dong J, Toneff MJ, Aina OH, Rao PH, Cardiff RD, Li Y. Contribution of an alveolar cell of origin to the high-grade malignant phenotype of pregnancy-associated breast cancer. Oncogene. 2014;33(50):5729–39.CrossRefPubMed
75.
Zurück zum Zitat Turpin J, Ling C, Crosby EJ, Hartman ZC, Simond AM, Chodosh LA, Rennhack JP, Andrechek ER, Ozcelik J, Hallett M, et al. The ErbB2ΔEx16 splice variant is a major oncogenic driver in breast cancer that promotes a pro-metastatic tumor microenvironment. Oncogene. 2016;35(47):6053–64.CrossRefPubMedPubMedCentral Turpin J, Ling C, Crosby EJ, Hartman ZC, Simond AM, Chodosh LA, Rennhack JP, Andrechek ER, Ozcelik J, Hallett M, et al. The ErbB2ΔEx16 splice variant is a major oncogenic driver in breast cancer that promotes a pro-metastatic tumor microenvironment. Oncogene. 2016;35(47):6053–64.CrossRefPubMedPubMedCentral
76.
Zurück zum Zitat Molyneux G, Smalley MJ. The cell of origin of BRCA1 mutation-associated breast cancer: a cautionary tale of gene expression profiling. J Mammary Gland Biol Neoplasia. 2011;16(1):51–5.CrossRefPubMed Molyneux G, Smalley MJ. The cell of origin of BRCA1 mutation-associated breast cancer: a cautionary tale of gene expression profiling. J Mammary Gland Biol Neoplasia. 2011;16(1):51–5.CrossRefPubMed
77.
Zurück zum Zitat Lim E, Vaillant F, Wu D, Forrest NC, Pal B, Hart AH, Asselin-Labat ML, Gyorki DE, Ward T, Partanen A, et al. Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nat Med. 2009;15(8):907–13.CrossRefPubMed Lim E, Vaillant F, Wu D, Forrest NC, Pal B, Hart AH, Asselin-Labat ML, Gyorki DE, Ward T, Partanen A, et al. Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nat Med. 2009;15(8):907–13.CrossRefPubMed
78.
Zurück zum Zitat Santagata S, Thakkar A, Ergonul A, Wang B, Woo T, Hu R, Harrell JC, McNamara G, Schwede M, Culhane AC, et al. Taxonomy of breast cancer based on normal cell phenotype predicts outcome. J Clin Invest. 2014;124(2):859–70.CrossRefPubMedPubMedCentral Santagata S, Thakkar A, Ergonul A, Wang B, Woo T, Hu R, Harrell JC, McNamara G, Schwede M, Culhane AC, et al. Taxonomy of breast cancer based on normal cell phenotype predicts outcome. J Clin Invest. 2014;124(2):859–70.CrossRefPubMedPubMedCentral
80.
Zurück zum Zitat Koren S, Reavie L, Couto JP, De Silva D, Stadler MB, Roloff T, Britschgi A, Eichlisberger T, Kohler H, Aina O, et al. PIK3CA H1047R induces multipotency and multi-lineage mammary tumours. Nature. 2015;525(7567):114–8.CrossRefPubMed Koren S, Reavie L, Couto JP, De Silva D, Stadler MB, Roloff T, Britschgi A, Eichlisberger T, Kohler H, Aina O, et al. PIK3CA H1047R induces multipotency and multi-lineage mammary tumours. Nature. 2015;525(7567):114–8.CrossRefPubMed
Metadaten
Titel
Pathobiology of the 129:Stat1 −/− mouse model of human age-related ER-positive breast cancer with an immune infiltrate-excluded phenotype
verfasst von
Hidetoshi Mori
Jane Q. Chen
Robert D. Cardiff
Zsófia Pénzváltó
Neil E. Hubbard
Louis Schuetter
Russell C. Hovey
Josephine F. Trott
Alexander D. Borowsky
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Breast Cancer Research / Ausgabe 1/2017
Elektronische ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-017-0892-8

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