Background
Parathyroid hormone-related protein (PTHrP) was originally discovered as a cause of elevated calcium levels in patients with cancer [
1‐
3]. It is evolutionarily related to parathyroid hormone (PTH) and the amino-terminal portions of both proteins are highly homologous, allowing them to bind and activate the same Type 1 PTH/PTHrP receptor (PTH1R) [
2,
3]. As a result, when PTHrP is secreted by tumors, it mimics PTH, leading to excessive bone resorption and hypercalcemia. PTHrP also contributes to the development and physiologic functions of a variety of tissues, and it has been shown to affect cell proliferation and cell death in a number of settings [
2‐
5]. While many of its functions are mediated by the PTH1R, PTHrP can also remain within the cell to regulate proliferation, differentiation and survival through an intracrine mode of action requiring the translocation of PTHrP into the nucleus [
3,
6‐
10]. Although nuclear translocation appears to be important for PTHrP biology, details of this signaling pathway remain obscure.
PTHrP and the PTH1R are expressed throughout the life cycle of the mammary gland as well as in breast tumors. Both molecules are required for fetal breast development in mice and humans [
11‐
14]. PTHrP also has important functions during lactation. Its production is greatly upregulated in alveolar epithelial cells, and it is secreted into both milk and the maternal circulation [
15‐
17]. In the maternal circulation, PTHrP acts on bone cells to mobilize calcium from the skeleton that is subsequently used by the mammary gland for milk production. In addition, PTHrP in milk regulates total body calcium accrual in suckling neonates, acting to coordinate maternal and neonatal calcium economy [
18].
PTHrP is also produced by breast cancers, contributing both to their growth and to tumor-induced changes in systemic metabolism [
5,
15,
19]. When produced by breast cancer cells within the bone microenvironment, PTHrP contributes to osteolytic bone destruction and the expansion of bone metastases [
5,
20,
21]. In addition, genome-wide association (GWAS) studies have implicated the
PTHLH (PTHrP) gene as a breast cancer susceptibility locus [
15,
22‐
24], suggesting that it may contribute to early steps in transformation and/or cancer progression. However, the exact functions of PTHrP in breast cancer biology remain unsettled. Different studies have reported that its expression either correlates with increased or decreased metastases and survival [
10,
25‐
29]. Moreover, studies have variably reported that PTHrP either stimulates or inhibits the proliferation, differentiation and survival of breast cancer cells [
3,
5,
10,
21,
30‐
33]. These contradictory results concerning the role and prognostic value of PTHrP expression in breast cancer underscore the need to better understand how it modulates breast tumor growth and/or breast cancer susceptibility.
In order to examine the effects of PTHrP on mammary tumor development in mice, we developed a tetracycline-regulated, MMTV-driven model of PTHrP overexpression in mammary epithelial cells (MMTV-rtTA;TetO-PTHrP). We found that overexpression of PTHrP in luminal epithelial cells caused alveolar hyperplasia and secretory differentiation of the mammary epithelium enabling virgin mice to produce milk. This phenotype was associated with activation of STAT5, and increased expression of Elf5 (E74-like factor-5), both important regulators of alveolar secretory differentiation [
34‐
37]. Furthermore, overexpression of PTHrP in epithelial cells in MMTV-PyMT mice dramatically promoted the formation of mammary tumors by shortening tumor latency and accelerating tumor growth, ultimately reducing overall survival. Interestingly, tumors overproducing PTHrP expressed markers of secretory differentiation and expressed milk constituents. These data suggest that PTHrP promotes pathways leading to secretory differentiation in both normal mammary epithelial cells and in breast tumor cells.
Methods
Animals
We used FVB female mice of various genotypes described below in all experiments. Male mice were not used because the focus of the study was on mammary gland development and breast cancer. All animal experiments were performed in accordance with institutional regulations after protocol review and approval by Yale University’s Institutional Animal Care and Use Committee.
Six different genetically engineered mouse models were used in this study: MMTV-rtTA, MMTV-rtTA;TetO-PTHrP, MMTV-PyMT, MMTV-rtTA;TetO-PTHrP;MMTV-PyMT, MMTV-rtTA;TetO-PTHrP;MMTV-PyMT;MMTV-Cre and, MMTV-rtTA;TetO-PTHrP;MMTV-PyMT;MMTV-Cre;PTH1R
lox/lox. We used a bi-transgenic, tetracycline-regulated, mouse mammary tumor virus long terminal repeat (MMTV) system to control the timing of PTHrP overexpression. MMTV-rtTA mice from the Chodosh laboratory (University of Pennsylvania) [
38] were bred to TetO-PTHrP responder mice generated by the Wysolmerski laboratory [
39] to make the double transgenic MMTV-rtTA;TetO-PTHrP (Tet-PTHrP) mice. Although the amino acid sequences of mouse and human PTHrP(1–141) are highly homologous [
40] and the two peptides have identical functions, we used the a human PTHrP(1–141) cDNA in creating the TetO-PTHrP mice in order to be able to distinguish transgene-derived mRNA from the endogenous mouse
Pthlh mRNA.
MMTV-PyMT [
41] mice were purchased from Jackson Laboratories on a FVB background and bred into our Tet-PTHrP mice to generate MMTV-rtTA;TetO-PTHrP;MMTV-PyMT (Tet-PTHrP;PyMT) mice. MMTV-Cre [
42] (Jackson Laboratories) and PTH1R
fl/fl mice (from Henry Kronenberg, Boston, MA) [
43] were bred into the MMTV-rtTA;TetO-PTHrP;MMTV-PyMT mice to generate MMTV-rtTA;TetO-PTHrP;MMTV-PyMT;PTH1R
lox/lox (Tet-PTHrP;PyMT;PTH1RLox) and MMTV-rtTA;TetO-PTHrP;MMTV-PyMT;MMTV-Cre;PTH1R
lox/lox (Tet-PTHrP;PyMT;Cre;PTH1RLox) mice. Doxycycline (Dox) (2 mg/ml; Research Products International, Cat# D43020) was administered in 5% sucrose water and mice could drink ad libitum. Mice were followed weekly for tumors. Once palpable, tumor size was measured weekly with calipers and tumor volume calculated using the formula 0.5 × length × width
2. Mice were euthanized when tumors reached approximately 1.5 cm in any dimension, or when they appeared unhealthy during the course of the experiment, whichever was earlier.
Biochemical measurements
Serum calcium concentrations were measured using the Quantichrom Calcium Assay Kit (DICA-500, BioAssay Systems) according to manufacturer's instructions. Plasma PTHrP was measured using an immunoradiometric assay (DSL-8100; Beckman Coulter) in which we substituted a rabbit anti-PTHrP (1–36) antibody generated in our laboratory as capture antibody. This assay has a sensitivity of 0.3 pM. Serum mPRL levels were measured by homologous double-antibody RIAs as previously described [
44].
Whole-mount analysis
Whole-mount analysis was performed on mammary tissue as previously described [
45]. Briefly, the no. 4 inguinal mammary glands were removed and mounted on a microscope slide. The tissue was fixed in acid ethanol for 1 h at room temperature, washed in 70% ethanol and then distilled water and incubated in carmine aluminum stain (0.2% carmine, 0.5% aluminum potassium sulfate) overnight at room temperature. After staining, the mammary glands were dehydrated through graded ethanol and cleared in acetone and then toluene before being mounted under glass coverslips using Permount (Fisher Scientific, Cat# SP15-100).
Histology and immunohistochemistry
Two hours prior to euthanasia, mice were injected with BrdU (Roche) or EdU (50 mg/kg, Invitrogen). Whole mammary glands, tumors and lungs were removed, weighed and fixed for 12 h in 4% paraformaldehyde. After fixation in 4% paraformaldehyde, tissues were transferred to 70% ethanol, embedded in paraffin and cut in 5-μm-thick sections. Pertinent slides were then either stained with hematoxylin and eosin using standard conditions, used for immunohistochemistry, or processed for measuring proliferation using anti-Bromodeoxyuridine-POD, Fab fragment Kit (Roche, Cat# 11585860001) or the Click-iT EdU Cell Proliferation Kit (Invitrogen Cat# C10337). Rates of proliferation were calculated by dividing the number of BrdU- or EdU-positive nuclei by the total number of nuclei. Lungs were processed for histology and pulmonary metastases quantified by examination of 10, H&E-stained sections cut 105 µm apart. All immunohistochemistry included an IgG isotype control, and the primary antibodies we used were against phospho-Stat5 (Cell Signaling, Cat# 9314), β-casein (Santa Cruz Biotechnology, Cat# sc-166530), Elf-5 (Santa Cruz Biotechnology, Cat# sc-9645), NF1B (Sigma, Cat# HPA-0039556), Nkcc1 (gift from Dr. James Turner at National Institutes of Health) and Npt2b (gift from Dr. Jürg Biber at University of Zurich). Staining was detected using Vector Elite ABC kits (Vector Laboratories), Envision Plus (DAKO), or M.O.M. Immunodetection Kit (Vector Laboratories, Cat) and we used 3,3′-diaminobenzidine as a chromogen.
RNA extraction and real-time RT-PCR
Mammary glands and tumors were homogenized in 1 ml TRIzol (Invitrogen, Cat# 15596018) using an Ultraturrax T25 (Ika Labortechnik) on ice. Lysates were cleared at 13,000 g for 10 min at 4 °C. The RNA was isolated using PureLink RNA columns (Invitrogen, Cat# 12183025) according to the manufacturer’s instructions. Total RNA was quantified using a Nanodrop 1000 spectrophotometer (Thermo Fisher Scientific). For all samples, the ratio of absorbance at 260 nm to absorbance at 280 nm was > 1.8. cDNA was synthesized using 1 μg of total RNA with the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Cat# 4368814) according to the manufacturer instructions. Quantitative RT-PCR was performed using the Taqman Fast Universal PCR Master Mix (Applied Biosystems, Cat# 4352042) or Sybr Green PCR Master kit (Applied Biosystems, Cat# 4309155) and a StepOnePlus real-time PCR system (Applied Biosystems). The following TaqMan primer sets were used: hPthlh Hs00174969_m1, mPthlh Mm00436057, PTH1R Mm00441046, Wap Mm00839913_m1, Lalba Mm00495258_m1, Csn1s1 Mm01160593_m1, Csn1s2a Mm00839343_m1, Csn1s2b Mm00839674_m1, Csn2 Mm04207885_m1, Csn3 Mm02581554_m1, Elf5 Mm00468732_m1, Nfib Mm01257777_m1, Gata3 Mm01337570_m1, Hprt1 Mm03024075_m1, Actb (Cat# 4352933E). The following primer pairs for Sybr green were also used: Pymt fwd (5′-ctgctactgcacccagacaa-3′) and Pymt rev (5′-gcaggtaagaggcattctgc-3′), Actb fwd (5′-ccacacccgccaccagttc-3′) and Actb rev (5′-gacccattcccaccatcacacc-3′). Relative mRNA expression was determined using the standard curve method with the StepOne software v2.3 (Applied Biosystems).
Tissue protein isolation and western blot
Pieces of mammary gland or mammary tumor no more than 0.5 cm × 0.5 cm were lysed in 1 ml of RIPA lysis buffer (10 mM Tris·HCl pH 8, 140 mM NaCl, 1 mM EDTA pH 8, 0.5 mM EGTA pH 8, 1% Triton X-100, 0.1% deoxycholate, and 0.1% SDS) supplemented with a cocktail of protease inhibitors (Thermo Scientific Cat# 78429), 50 mM NaF, and 1 mM Na3VO4 on ice. Samples were then homogenized using an Ultraturrax T25 (Ika Labortechnik). Lysates were centrifugated at 13,000 g for 10 min at 4 °C, and the supernatant was recovered. The samples were quantitated for total protein using the Bradford protein assay (Bio-Rad Cat# 5000001) following the manufacturer’s instructions. A 2 µg/µl protein solution containing sample buffer (Invitrogen Cat# NP0007) plus sample reducing agent (Invitrogen Cat# NP0004) was prepared and 30ug of total protein were loaded into precast, 4% to 12% Bis–Tris acrylamide gels (Thermo Fisher Scientific, Cat# NP0322) in MOPS buffer (Thermo Fisher Scientific, Cat# NP0001) and underwent electrophoresis, after which samples were transferred to nitrocellulose membranes (Bio-Rad, Cat# 1621112). Membranes were treated with blocking buffer (LI-COR Biosciences, Cat# 927-60001) for 1 h at room temperature and then incubated with the primary antibody overnight at 4 °C, followed by a dye conjugated secondary antibody for 1 h at room temperature. Membranes were imaged and analyzed using the Odyssey IR imaging system (LI-COR Biosciences). The primary antibodies used were: anti-PTHrP (Peprotech, Cat# 500-P276), anti-β-casein (Santa Cruz Cat# 166530), anti-Elf5 (Santa Cruz Cat# sc-9645), anti-NF1B (Sigma, Cat# HPA003956), anti-p(Tyr694)Stat5 (Cell Signaling, Cat# #9359), anti-Stat5 (Cell Signaling, Cat# #94205), anti-Npt2b (gift from Dr. Jürg Biber at University of Zurich), anti-β-Actin (Santa Cruz Cat# sc-130656). The secondary antibodies used were anti-mouse (LI-COR, Cat# 926-68022) and anti-Rabbit (LI-COR Biosciences, Cat# 926-32213).
Tumor cell isolation and culture
Tumor cells were isolated from transgenic mammary tumors as previously described. Briefly, dissected tumors were minced into fragments under sterile conditions and subjected to enzymatic digestion with Collagenase-Type3 (Worthington, Cat#: LS004183) at 2 mg/ml, Dispase (Gibco, Cat#: 17105-041) at 2 mg/ml, Gentamycin (Gibco, Cat#:15710-064) at 50 µg/ml, Amphotericin B (Sigma, Cat#:A2942) at 250 µg/ml, and 5% FBS in DMEM/F12 media for 3 h with intermittent shaking. Following digestion, tumor organoids were pelleted and then treated with NH4Cl (Stem Cell Technologies, Cat # 07800) to lyse RBCs, following which, the pellet was washed three times with PBS. Organoids were then passed through a 70 µm cell strainer, counted and used for transplantation experiments or cultured at a density of 3 × 106 cells/55cm2. Proliferation of cultured cells was measured by assessing BrdU incorporation (Cell proliferation ELISA Kit 11647229001; Roche) after addition of Dox (2 µg/ml) or PTHrP (Bachem, Cat# 4017147.0500) to the culture media.
Tumor cell transplantation
500,000 freshly isolated, sterile tumor cells were suspended in 150 µl of sterile saline and were injected subcutaneously into the fat pad of 8 wild-type, adult FVB mice via a small incision between the fourth nipple and the midline as previously described [
46]. Mice were treated with Dox 24 h prior to the injection and were monitored for tumor development. Mice were checked twice a week for tumors and tumor size was measured with calipers every other day. Tumor-bearing animals were euthanized when the tumors reached approximately 1.5 cm in any dimension or when they appeared unhealthy, whichever was earlier.
Global gene expression profiling
Total RNA was prepared using TRIzol reagent (Invitrogen) from FACS sorted luminal epithelial cells of 4.5 week-old, MMTV-rtTA and Tet-PTHrP mice on Dox from birth, using antibodies against CD24 and CD49f cell surface markers as previously described [
47]. Similarly, total RNA was prepared from whole tumor lysates of MMTV-PyMT and Tet-PTHrP;PyMT mice on Dox. The isolated RNA was purified using the RNeasy cleanup kit (Qiagen). RNA was reverse-transcribed and hybridized to Affymetrix Mouse Genome 430 2.0 GeneChip by the Yale Center for Genomic Analysis. Microarray data were analyzed with R version 4.1.2 and Bioconductor 3.14 [
48]. Raw data were MAS5 normalized and log
2 transformed. 20,000 probes with the highest statistical significance were selected as the first working matrix, and then, only genes with fold change of +/− 2 and
p < 0.01 were considered for further analyses. Differentially expressed genes (DEGs) were analyzed using WikiPathways Pathway Analysis for biological interpretation [
49], and significant pathways were based on the Bonferroni adjusted
p value (padj) < 0.05. Results of the functional analysis were combined and integrated to the expression data with the GOplot package [
50]. All statistical analyses and data visualization plots were done with R/Bioconductor packages. GSEA analysis was performed using previously generated set of ∼200 STAT5-dependent and mammary tissue restricted genes [
37]. Enrichment score curves and member ranks were generated by the GSEA software package [
51]. Volcano plots were constructed from the first selected 20,000 probes matrix with
ggplot2 [
52]. Heatmap was generated with
heatmap.2 package.
Breast cancer single cell RNA seq data download and process
Count matrices from published single cell RNA sequencing (scRNA-seq) datasets were downloaded from the NCBI Gene Expression Omnibus (GSE161529) and then analyzed using Seurat version 4.0 [
53]. Seurat objects were created from 15 ER+ , 6 HER2+ and 4 TNBC patient-derived datasets. Cells with > 60,000 counts and the number of unique genes detected in each cell were removed using > 200 and < 7000 as criteria. This is a quality control step, as it is thought that cells with high numbers of counts are more likely to be doublets, while cells with low numbers of counts are thought to be of poor data quality. Data normalization, variable feature detection, feature scaling, and principal component analysis were performed in Seurat using default parameters. Cell clusters were identified using the default Louvain clustering algorithm implemented in Seurat. Default Seurat function settings were used except that clustering resolutions were set to 0.5 and principal component dimensions 1:10 were used for all dimension reduction and integration steps. Epithelial cells were identified using canonical marker genes as described, and normalized counts data were used in all relevant downstream analysis [
54]. Cells were divided into two groups depending on their normalized counts of
PTHLH expression level.
PTHLH high groups expressed
PTHLH more than 0, and remaining cells were designated as the
PTHLH low group. Differential expression between PTHLH high and low groups was conducted using the FindMarker function in Seurat package with MAST option. Pathway enrichment was performed on ranked lists with fGSEA using HALLMARK gene set from MsigDB v7.4 [
51,
55]. After removing genes that are not expressed in any cell, protein coding genes only were considered (refer to
biomaRt package [
56]).
Statistics
Results were expressed as means ± SE of at least 3 independent experiments. Statistical analyses were performed with Prism 9.0 (GraphPad Software) and consisted of one-way ANOVA, followed by Tukey’s multiple comparisons test. Before statistical analysis, Q-Q plot and Shapiro–Wilk test were performed for normality. Homoscedasticity was assessed with Levene’s test. In figures, asterisks mean significant differences between means.
Discussion
The data presented in this study demonstrate that overexpression of PTHrP in mammary epithelial cells activates a program of secretory differentiation. When treated with Dox to induce human PTHrP(1–141) expression, the mammary glands of virgin, Tet-PTHrP mice develop alveolar hyperplasia, express histological markers of secretory differentiation, activate milk protein gene expression, and accumulate intracellular lipids. These secretory changes are accompanied by the phosphorylation of STAT5 and an increase in the expression of Elf5, two pioneering transcription factors well described to cooperate in driving gene expression necessary for milk production [
34‐
37,
60]. Consistent with the activation of these transcription factors, we found that PTHrP upregulates patterns of gene expression previously associated with lactation. It is also possible that PTHrP increases the pool of alveolar progenitors available for secretory differentiation rather than directly causing differentiation of the cells. However, alveolar hyperplasia and the expression of secretory differentiation markers are significantly reversed in response to the withdrawal of Dox, suggesting that they depend on the continuing presence of PTHrP. Previous results from our lab demonstrated that, although PTHrP expression is normally activated during lactation, mammary gland specific ablation of PTHrP affects systemic calcium metabolism during lactation but does not interfere with alveolar development or with overall milk secretion [
16,
45]. Given the importance of lactation to mammalian reproduction, it is not surprising that the pathways leading to secretory differentiation would be redundant. Nevertheless, these new data clearly demonstrate that PTHrP is sufficient to induce secretory differentiation in luminal epithelial cells in the absence of pregnancy.
PTHrP overexpression also drives secretory differentiation in tumor cells in the MMTV-PyMT model of breast cancer. Tet-PTHrP;PyMT mice continuously exposed to Dox develop tumors in all mammary glands by 3–4 weeks of age, a dramatic decrease in tumor latency in comparison to Tet-PTHrP;PyMT mice not treated with Dox. While PTHrP promoted premature growth of PyMT-associated mammary tumors, overexpression of PTHrP alone did not efficiently induce tumors. Therefore, in this setting, PTHrP appeared primarily to promote tumor growth rather than initiate transformation. The decrease in tumor latency was accompanied by increased rates of proliferation in the tumors. As noted previously in vascular smooth muscle cells and in human and murine breast tumor cells, increased proliferation was associated with decreased expression of the cell cycle inhibitor, p27Kip1 [
30,
76]. This acceleration of tumor development is consistent with the reciprocal results of Li et al., who showed that ablation of PTHrP expression in MMTV-PyMT tumors slowed tumor growth and was associated with reduced proliferation and increased apoptosis [
31]. They are also consistent with prior results from our group demonstrating that ablation of the CaSR in MMTV-PyMT tumors or in human BT474 and MDA.MB-231.1833 cells reduced PTHrP expression, which was associated with a reduction in proliferation and increased expression of p27kip1 [
30]. Importantly, these effects of PTHrP do not appear to result from an increase in PyMT expression although we cannot exclude the possibility that nuclear PTHrP affected the direct biological effects of PyMT itself. Thus, although there have been variable reports on the effects of PTHrP on human breast cancer cell lines, in mice, PTHrP clearly promotes proliferation in mammary tumor cells expressing PyMT.
While PTHrP accelerates the growth of PyMT tumors, it also promotes secretory differentiation. This is associated with an increase in the expression of differentiation markers, milk protein genes, Elf5, and pSTAT5. Despite an apparent shift to a more differentiated state, tumors continued to metastasize, and cells derived from the tumors overexpressing PTHrP were able to form new tumors when transplanted into non-transgenic mice. The histological appearance of the tumors in Tet-PTHrP;PyMT mice, their expression of pSTAT5 and the accumulation of milk-like secretions is reminiscent of a rare type of human breast cancer known as “secretory carcinoma of the breast” [
77‐
81]. The majority of these tumors have been shown to contain t(12;15)(p13;q25) chromosomal translocations that results in a fusion oncogene (ETV6-NTRK3) consisting of the oligomerization domain of ETV6 fused to the protein tyrosine kinase domain of the neurotropin 3 receptor (NTRK3). Although most secretory carcinomas behave in an indolent manner, some patients develop metastatic lesions. When an ETV6-NTRK3 construct was knocked into mice, they developed mammary alveolar hyperplasia, followed by the development of multifocal tumors with short latency, again reminiscent of the effects of overexpressing PTHrP on PyMT-mediated tumorigenesis [
80]. Although there is no known link between PTHrP expression and the expression or activity of NTRK3 or other neurotropin receptors, it has been suggested that the transforming ability of the ETV6-NTRK3 fusion oncogene relies on activation of the AP1 transcription complex [
80]. Given the similarities between PTHrP overexpression in PyMT tumors and this model of secretory carcinomas, as well as the fact that PTHrP has been shown to activate AP1 signaling by increasing c-fos and/or JunB expression in several cell types, further study of potential interactions between PTHrP and AP1 signaling in breast cancer may be revealing [
82,
83].
Multiple lines of evidence suggest that the effects of PTHrP on activating secretory differentiation pathways as well as on promoting tumor cell proliferation are mediated by an intracrine pathway rather than through its cell surface receptor. First, previous experiments overexpressing PTHrP in mammary gland myoepithelial cells did not lead to alveolar hyperplasia and secretory differentiation although, similar to the results reported here, it did inhibit ductal elongation during puberty [
39,
73]. These differences are not compatible with a typical paracrine mode of action given that the 2 cell types overexpressing PTHrP in these different models are adjacent to each other. Instead, the different phenotypes in these models suggest that a cell-autonomous and cell-restricted mechanism of action drives the secretory differentiation. Second, in cells derived from Tet-PTHrP;PyMT mammary tumors, inducing PTHrP expression by treating them with Dox stimulates cell proliferation, activates STAT5 and increases milk protein gene expression, but treating the cells with exogenous PTHrP does not. Thus, PTHrP is sufficient to induce secretory differentiation, but only if produced within the tumor cells, suggesting a cell autonomous and intracrine mechanism. Third, reducing PTH1R expression in tumor cells does not alter tumor growth or secretory differentiation of the tumor cells, demonstrating that tumor expression of the PTH1R is not required for the observed phenotype. Lastly, treating tumor-bearing Tet-PTHrP;PyMT mice with anti-PTH1R antibodies corrects hypercalcemia but does not reverse STAT5 activation or reduce the expression of secretory markers, demonstrating that secreted PTHrP does not act systemically or on non-tumor cells in the microenvironment to induce paracrine cascades supporting secretory differentiation. These results are consistent with the observations of Tran et al., who previously reported that nuclear PTHrP staining correlates with nuclear pSTAT5 staining in human breast cancers [
10]. In addition, Johnson et al. showed that PTHrP overexpression in MCF7 cells results in the downregulation of several pro-dormancy genes and suggested that these actions may occur through PTH1R-independent actions [
74]. Finally, prior results from our laboratory have demonstrated that intracrine/nuclear actions of PTHrP downstream of the calcium-sensing receptor are important in modulating cell proliferation and survival in human breast cancer cell lines and in PyMT-induced mouse mammary tumors [
30].
PTHrP is widely recognized to be important for the progression of osteolytic bone metastases from breast cancer [
20,
84], although its role in the initiation, growth or progression of primary breast tumors is less clear. The results we report here agree with those of Li et al., demonstrating that PTHrP stimulates mammary tumor progression and results in shorter survival in MMTV-PyMT mice [
31]. As compared to studies in mice, PTHrP has been variably suggested to either promote or to inhibit breast cancer cell proliferation, differentiation and death in human breast cancer cell lines [
3,
5,
10,
30,
33]. Likewise, studies examining PTHrP staining in human breast cancers have reported differing correlations between PTHrP and tumor behavior. Some studies have reported that PTHrP expression correlates with estrogen receptor and progesterone receptor expression, a more differentiated histology, fewer metastases and a better prognosis [
10,
26]. In contrast, other studies have suggested that increased PTHrP expression predicts worse survival and increases brain or bone metastases when measured in all breast tumors, in triple-negative breast cancers or in circulating tumor cells [
25,
28,
85,
86]. One possible explanation for these conflicting results may be related to differing effects of PTHrP in luminal vs. triple negative sub-types of breast cancer. Another may relate to our observation that PTHrP overexpression results in the upregulation of STAT5 activation. STAT5 is critical to the proliferation and secretory differentiation of normal breast epithelial cells during pregnancy and lactation, but it seems to mirror PTHrP in having different effects on tumor progression in mice and humans. Loss of STAT5 impedes the development of tumors in T-antigen-dependent mouse models, while overexpression of wild-type or constitutively active STAT5 accelerates tumor formation in these models [
36,
87‐
89]. By contrast, the activation of STAT5 in human breast cancers has generally been observed to be an indicator of more differentiated tumors and a better prognosis [
10,
87,
90]. Our findings and those of Tran et al. mirror the previous literature in that PTHrP expression increases STAT5 and tumor progression in MMTV-PyMT mice, but PTHrP expression correlates with nuclear STAT5 expression and better outcome in human breast cancer. This may not be the entire bottom line given the recent report from Assaker and colleagues suggesting that tumor PTHrP expression at the time of diagnosis correlated with subsequent brain metastases and poor survival in patients with triple negative breast cancer (TNBC) [
85]. Interestingly, we found the highest numbers of cells with elevated PTHrP gene expression in TNBC’s using single cell sequencing data. Furthermore, genes potentially involved in Stat5 signaling were enriched in TNBC cells expressing higher levels of PTHrP. Therefore, it is possible that interactions between PTHrP and STAT5 may have different consequences depending on the sub-type of breast cancer. Sorting out the details of when and how PTHrP affects different breast cancers in different fashions will be critical to understanding the reported association between the
PTHLH gene and breast cancer in GWAS studies [
22‐
24].
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.