Contributions of the RhoA guanine nucleotide exchange factor Net1 to polyoma middle T antigen-mediated mammary gland tumorigenesis and metastasis
The RhoA activating protein Net1 contributes to breast cancer cell proliferation, motility, and invasion in vitro, yet little is known about its roles in mammary gland tumorigenesis and metastasis.
Net1 knockout (KO) mice were bred to mice with mammary gland specific expression of the polyoma middle T antigen (PyMT) oncogene. Mammary gland tumorigenesis and lung metastasis were monitored. Individual tumors were assessed for proliferation, apoptosis, angiogenesis, RhoA activation, and activation of PyMT-dependent signaling pathways. Primary tumor cells from wild-type and Net1 KO mice were transplanted into the mammary glands of wild-type, nontumor-bearing mice, and tumor growth and metastasis were assessed. Gene expression in wild-type and Net1 KO tumors was analyzed by gene ontology enrichment and for relative activation of gene expression signatures indicative of signaling pathways important for breast cancer initiation and progression. A gene expression signature indicative of Net1 function was identified. Human breast cancer gene expression profiles were screened for the presence of a Net1 gene expression signature.
We show that Net1 makes fundamental contributions to mammary gland tumorigenesis and metastasis. Net1 deletion delays tumorigenesis and strongly suppresses metastasis in PyMT-expressing mice. Moreover, we observe that loss of Net1 reduces cancer cell proliferation, inhibits tumor angiogenesis, and promotes tumor cell apoptosis. Net1 is required for maximal RhoA activation within tumors and for primary tumor cell motility. Furthermore, the ability of PyMT to initiate oncogenic signaling to ERK1/2 and PI3K/Akt1 is inhibited by Net1 deletion. Primary tumor cell transplantation indicates that the reduction in tumor angiogenesis and lung metastasis observed upon Net1 deletion are tumor cell autonomous effects. Using a gene expression signature indicative of Net1 activity, we show that Net1 signaling is activated in 10% of human breast cancers, and that this correlates with elevated proliferation and PI3K pathway activity. We also demonstrate that human breast cancer patients with a high Net1 gene expression signature experience shorter distant metastasis-free survival.
These data indicate that Net1 is required for tumor progression in the PyMT mouse model and suggest that Net1 may contribute to breast cancer progression in humans.
KeywordsRhoA Net1 Polyoma middle T antigen Breast cancer Metastasis
v-Akt murine thymoma viral oncogene homolog 1
Cleaved caspase 3
Cell determinant 31
Cell division cycle 42
Deleted in liver cancer 1
Dedicator of cytokinesis 1
Estrogen receptor alpha
Extracellular signal regulated kinase 1
Focal adhesion kinase
Marker of proliferation Ki-67
Myosin regulatory light chain 2
Mouse mammary tumor virus
Myosin phosphatase targeting subunit 1
Neuroepithelial transforming gene 1
Tumor protein p53
Phosphatidylinositol 3-kinase regulatory subunit p85α
Phospholipase C gamma
Protein phosphatase 2A
Phosphatidylinositol-3,4,5-trisphosphate dependent Rac exchange factor 1
Phosphatase and tensin homolog
Polyoma middle T antigen
Ras-Related C3 botulinum toxin substrate 1
RhoA binding domain
Ras homolog family member A
Ras homolog family member B
Ras homolog family member C
Rho GTPase activating protein
Rho guanine nucleotide exchange factor
Src homology domain 2 containing
SRC proto-oncogene, non-receptor tyrosine kinase
The Cancer Genome Atlas
Transforming growth factor beta
Vav guanine nucleotide exchange factor 2
Metastasis is the primary cause of death in breast cancer patients, yet there are few therapies directed at this process. As regulators of cell proliferation, cytoskeletal organization, and cell motility, Rho GTPases are essential to dissemination of cancer cells throughout the body. The Rho GTPase family consists of 20 genes in humans, with Cdc42, Rac1, and RhoA being the most thoroughly studied [1, 2]. Rac1, RhoA, and RhoC are commonly overexpressed in human breast cancers and RNAi-mediated knockdown or deletion of these genes inhibits tumorigenesis and metastasis [3, 4, 5, 6, 7]. Rac1 and RhoA/C contribute to metastasis by regulating separate types of invasive behavior in cancer cells, with Rac1 driving integrin-dependent, mesenchymal-type movement and RhoA/C driving integrin-independent, amoeboid movement. Importantly, cancer cells switch between these types of movement depending on the extracellular obstacles they are traversing, and inhibition of either of these forms of movement significantly inhibits invasive activity [8, 9, 10].
Rho GTPases function as molecular switches, cycling between their active, GTP-bound and inactive, GDP-bound states. When active, Rho proteins interact with downstream proteins, known as effectors, to initiate signaling cascades that control cell motility [11, 12]. Rho GTPase activation is controlled by two families of proteins, known as guanine nucleotide exchange factors (RhoGEFs) and GTPase activating proteins (RhoGAPs). RhoGEFs stimulate GDP release, thereby allowing Rho proteins to bind GTP and become active [13, 14]. RhoGAPs stimulate the intrinsic GTPase activity of Rho proteins, thereby shutting them off . Because the wild-type forms of Rho proteins are overexpressed in breast cancers, it is commonly assumed that altered function of RhoGAPs and RhoGEFs drives their activation. For example, the RhoGAP DLC-1 is deleted or epigenetically silenced in many breast cancer subtypes, driving aberrant RhoA activation and metastatic spread to the bones [16, 17, 18]. Alternatively, the Rac1 GEFs P-Rex1, Vav2/3, and Dock1 have been shown to contribute to metastatic behavior in particular breast cancer subtypes [19, 20, 21]. Despite evidence for RhoA and RhoC contributing to breast cancer tumorigenesis and metastasis, RhoA subfamily GEFs that contribute to breast cancer in vivo have not yet been identified.
The neuroepithelial transforming gene 1 (Net1) is a RhoA subfamily GEF that is overexpressed in many human cancers, including breast cancer [22, 23]. We have shown previously that Net1 is required for human breast cancer cell motility and invasive capacity in vitro . In these cells Net1 is dedicated to controlling actomyosin contraction, as inhibition of Net1 expression blocks actomyosin contractility but does not affect other RhoA-regulated events, such as Ezrin phosphorylation. We have also observed that Net1 controls FAK activation, which is necessary for focal adhesion maturation . Furthermore, Net1 has been shown to control cell motility in other cell types, and to regulate actin cytoskeletal rearrangements downstream of ligands such as TGFβ [25, 26, 27]. Net1 also controls mitotic progression by regulating Aurora A activation and chromosome alignment during the metaphase . Thus, there is ample evidence to suggest that Net1 may contribute to tumorigenesis and metastasis in vivo; however, the role of Net1 in these processes has not been investigated. Similarly, the role of Net1 in human breast cancer is largely unknown.
In the present work we demonstrate that Net1 is critical for mammary gland tumorigenesis and metastasis in the mouse mammary tumor virus (MMTV)-PyMT mouse genetic model of breast cancer, and demonstrate obligate signaling pathways that are regulated by Net1. Moreover, we identify a gene expression signature indicative of Net1 function and use this signature to demonstrate that Net1 contributes to metastasis in human breast cancer patients. Together these data indicate that Net1 is required for breast cancer progression in the MMTV-PyMT mouse model and may also contribute to human breast tumorigenesis and metastasis.
Mouse husbandry and care
Mice were housed in the Center for Laboratory Animal Medicine and Care within the Medical School at the University of Texas Health Science Center at Houston, TX, USA. All studies were approved by the Institutional Animal Care and Use Committee (protocol AWC 14-007) and were conducted in accordance with the guidelines of the US Public Health Service Policy for Humane Care and Use of Laboratory Animals.
Mouse strains used, genotyping, and analysis of tumorigenesis
Mice were euthanized when the largest tumor reached 2.5 cm3.
The following antibodies were used: anti-pSer19-MLC2 (3675), anti-Ki67 (12202), anti-cleaved caspase 3 (9661), anti-CD31 (77699), anti-pT696-MYPT1 (5163), anti-MYPT1 (2634), anti-pY461-Src (6943), anti-pT202/Y204ERK1/2 (4370), anti-ERK1/2 (4695), anti-pT308-Akt1 (2965), anti-pS473-Akt1 (4060), anti-Akt (2920), anti-PP2A-C (2038), anti-PP2A-A (2041), anti-Shc (2432), anti-PI3 kinase p85 (4257), and anti-RhoC (3430) (Cell Signaling Technology); anti-β-actin (A5316) (Sigma-Aldrich); anti-PyMT (sc-53,481), anti-GST (sc-138), anti-Src (sc-8056), and normal rat IgG (sc-2026) (SantaCruz Biotechnology); and anti-RhoA (ARH03) (Cytoskeleton, Inc.).
Primary tumor cell isolation and mammary gland transplantation
Individual mammary tumors were isolated from Net1 +/+ ,MMTV-PyMT and Net1 −/− ,MMTV-PyMT mice, manually minced, and incubated in DMEM/F12 (Hyclone) with 2 mg/ml collagenase A (Agilent), and 1× antibiotic–antimycotic (Life Technologies) for 2 h at 37 °C with 150 rpm rotation at a 45° angle. The minced tissues were then shaken vigorously and pipetted up and down to create a cell suspension. The cells were pelleted by centrifugation at 600 × g for 10 min at room temperature, resuspended in DMEM/F12 with 10% fetal bovine serum (FBS) and 1× antibiotic–antimycotic, and passed through a 70-μm cell strainer (ThermoFisher Scientific). The cells were cultured in DMEM/F12 with 10% FBS, 100 U/ml penicillin/streptomycin, 10 μg/ml insulin, and 1× antibiotic–antimycotic. The epithelial marker cytokeratin 8 (CK8) and PyMT were detected in 90–95% of cells by immunofluorescence microscopy.
Confluent primary tumor cells were harvested with 0.25% trypsin and rinsed twice with PBS. 8 × 106 cells were mixed with Matrigel (catalog no. 354,248; Corning) to a final volume of 200 μl, and were injected into the number four fat pad of wild-type female FVB mice, 6–7 weeks old, using a 28.5-G insulin syringe (catalog no. 329,424; BD). Once palpable, tumor sizes were measured twice per week. Mice were euthanized when the tumors reached 2.5 cm in length or diameter. Mammary tumors and lungs were collected for immunohistochemistry (IHC) and IF staining to analyze tumor cell proliferation, apoptosis, and angiogenesis, as described in the following.
Cell motility assays
For migration assays, confluent primary tumor cells were starved in DMEM/F12 plus 0.5% FBS for 16 h prior to trypsinization. 8 × 104 cells were placed in the upper chamber of a Transwell insert with 8-μm pores (BD Biosciences). The medium in the bottom well was supplemented with EGF (100 ng/ml; R&D Systems). Cells were allowed to migrate for 2 h, and then the cells in the upper well were removed using a cotton swab. Cells on the bottom of the membrane were fixed and stained with DAPI (1 μg/ml; Sigma-Aldrich). Cells that had traversed the membrane were counted in 10 random fields using a 20× objective and a Zeiss Axiophot microscope. Images were captured with an Axiocam MRm camera and Axiovision software. Cell numbers were quantified using ImageJ software.
Mammary gland whole mount analysis and tissue immunohistochemistry
After dissection, the fourth inguinal mammary glands were immediately fixed in Carnoy’s fixative (60% ethanol, 30% chloroform, 10% glacial acetic acid) for 2–4 h at room temperature. Glands were stained in Carmine alum solution (2 mg/ml carmine, 10.5 mM aluminum potassium sulfate dodecahydrate) overnight with gentle shaking followed by successive dehydration steps in 70%, 95%, and 100% ethanol for 1 h each, at room temperature. Glands were cleared in xylene overnight and mounted on glass slides with Permount (ThermoFisher Scientific). Mammary glands were imaged with an Eclipse 80i digital camera (Nikon) mounted on a SMZ-745 T stereo microscope (Nikon).
For immunohistochemistry (IHC) of hyperplastic regions, number four inguinal mammary glands were immediately fixed in 4% paraformaldehyde overnight at 4 °C and stored in 70% ethanol at 4 °C until paraffin embedding. Tumors were excised and fixed for IHC as already described. Five-micron sections were cut for all tissues, deparaffinized in xylene, and rehydrated. Sections were boiled for 20 min in 10 mM sodium citrate for antigen retrieval, rinsed in PBS, and quenched for 30 min in 3% H2O2 at room temperature. Sections were blocked in 5% BSA/0.5% Tween-20, or M.O.M. blocking buffer (BMK2202; Vector Labs), for 1 h at room temperature. Primary antibodies were diluted in blocking solution and sections were incubated with primary antibodies overnight at 4 °C. After washing five times in phosphate buffered saline (PBS), sections were incubated with secondary antibodies for 45 min at room temperature, washed in PBS, and incubated in ABC solution (PK7100; Vector Labs) for 30 min. Sections were then developed in diaminobenzidine (K3468; Dako) and counterstained with hematoxylin (Thermo Fisher Scientific). Images were visualized with Eclipse 80i microscope (Nikon) and Digital Sight DS-VI1 camera (Nikon), and acquired using NIS-Elements Basic Research software (Nikon).
Lung isolation and analysis
Whole lungs were isolated after euthanasia, rinsed with sterile PBS, and immediately fixed in 4% paraformaldehyde overnight at 4 °C. Lungs were stored in 70% ethanol at 4 °C until paraffin embedding. Metastatic foci on the dorsal and ventral surface of lung lobes were counted and imaged with a SMZ-745 T stereo microscope (Nikon) mounted with an Eclipse 80i digital camera (Nikon). Five-micron sections were cut, deparaffinized in xylene, and rehydrated. The lung sections were then stained with hematoxylin and eosin (ThermoFisher Scientific). Sections were visualized with a SMZ-745 T stereo microscope (Nikon), and images were acquired using NIS-Elements Basic Research software (Nikon).
Isolation of tissues and western blotting analysis
Mouse tissues were rinsed quickly in cold PBS, snap frozen in liquid nitrogen, and stored at − 80 °C until use. For extraction of proteins and mRNA, frozen tissues were pulverized with a mortar and pestle under liquid nitrogen and homogenized on ice in SDS lysis buffer for protein extraction (2% SDS, 20 mM Tris–HCl (pH 8.0), 100 mM NaCl, 80 mM β-glycerophosphate, 50 mM NaF, 1 mM sodium orthovanadate, 10 μg/ml pepstatin A, 10 μg/ml leupeptin, 10 μg/ml aprotinin) or TRK lysis buffer (E.Z.N.A.® Total RNA Kit I; Omega Bio-Tek) for RNA extraction, using a rotor-stator homogenizer. For protein analysis, lysed tissue was sonicated and protein concentrations were determined by bicinchoninic acid assay (Pierce). Equal amounts of protein were separated by SDS-PAGE, transferred to polyvinylidene difluoride membrane (PVDF), and analyzed by western blotting.
Immunoprecipitation and GST-RBD assays
For analysis of proteins coprecipitating with PyMT, pulverized mouse tumors were lysed in radioimmunoprecipitation assay (RIPA) buffer with 0.1% SDS (1.0% Triton X-100, 0.1% SDS, 0.5% sodium deoxycholate, 50 mM Tris–HCl (pH 8.0), 150 mM NaCl, 80 mM β-glycerophosphate, 10 μg/ml leupeptin, 10 μg/ml pepstatin A,10 μg/ml aprotinin, 1 mM phenylmethylsulfonyl fluoride), incubated on ice for 10 min, and homogenized using a rotor-stator homogenizer. Insoluble proteins were pelleted by centrifugation (16,000 × g, 10 min, 4 °C). Equal amounts of soluble lysate were precleared by incubation for 30 min at 4 °C with 2 μg of normal rat IgG plus Protein G-Sepharose (Rockland Immunochemicals). Clarified lysates were then incubated with 2 μg of normal rat IgG or rat anti-PyMT plus Protein G-Sepharose for 2 h at 4 °C. Immunoprecipitates were washed three times with wash buffer (20 mM Tris–HCl (pH 8.0), 125 mM NaCl, 5 mM MgCl2, and 0.5% Triton X-100), resuspended in 2 × Laemmli sample buffer, and resolved by SDS-PAGE. Proteins were transferred to a PVDF membrane and analyzed by western blotting analysis as described previously .
For GST-RBD assays, pulverized mouse tumors were lysed in 0.5% Triton lysis buffer plus 10 mM MgCl2 (0.5% Triton X-100, 10 mM MgCl2, 20 mM Tris–HCl (pH 8.0), 100 mM NaCl, 1 mM EDTA, 50 mM NaF, 80 mM β-glycerophosphate, 10 mM MgCl2, 1 mM Na2VO3, 10 μg/ml leupeptin, 10 μg/ml pepstatin A,10 μg/ml aprotinin, 1 mM phenylmethylsulfonyl fluoride) and homogenized using a rotor-stator homogenizer. Insoluble proteins were pelleted by centrifugation (16,000 × g, 10 min, 4 °C). Equal amounts of soluble lysate were incubated with 30 μg of GST-Rhotekin-RBD protein beads (Cytoskeleton, Inc.) for 1 h at 4 °C. Precipitates were washed three times with wash buffer (25 mM Tris–HCl (pH 7.5), 30 mM MgCl2, 40 mM NaCl), resuspended in 2 × Laemmli sample buffer, and resolved by SDS-PAGE. Proteins were transferred to a PVDF membrane and analyzed by western blotting.
Gene expression analysis
Gene expression was analyzed by the UTHealth Quantitative Genomics and Microarray Core Facility using an Illumina mouse WG6 Whole-Genome Gene Expression BeadChip. Gene expression values were estimated with the Illumina GenomeStudio software with background subtraction and quantile normalization. Changes in gene expression were initially identified using a Student’s t test, and genes were accepted as differentially expressed if they exhibited at least 1.5-fold change with P < 0.05 between the wild-type and Net1 knockout samples. Gene Ontology category enrichment analysis was performed using GATHER . We scored the activation of gene expression signatures on gene expression profiles as described previously . Briefly, for a gene expression dataset, we centered and normalized each gene to a mean of 0 and standard deviation of 1, and then averaged the expression of each gene in the signature, after taking the additive inverse of the expression values for genes negatively correlated with the pathway. Finally, we created a Net1 gene expression signature using an empirical Bayes approach  to find genes differentially expressed in Net1 knockout mouse tumors with at least 5-fold change and P < 0.05. To score this signature on human tumors, we found the human orthologs of the genes in the signature using the Homologene database .
Unpaired, two-tailed Student t tests were employed for all other statistical tests. P < 0.05 was considered significant, as indicated in figure legends. All data are reported as means, and errors are the standard error of the mean. Animal cohort size was chosen based on the work of many other groups using this tumor model and all animals within the cohort were included in the results. No randomization of animals was necessary. No blinding of cohort identity was done.
Net1 is required for tumorigenesis and metastasis in MMTV-PyMT mice
We have shown previously that mice lacking Net1 are healthy, but experience a short delay in mammary gland development during puberty characterized by reduced estrogen receptor alpha (ERα) expression, reduced proliferation, and less ductal branching. However, these mice are able to nurse their young, indicating that Net1 is ultimately dispensable for mammary gland function . To determine whether Net1 is required for mammary gland tumorigenesis or metastasis, we bred mice lacking Net1 to mice carrying the polyoma middle T antigen under the control of the mouse mammary tumor virus promoter (MMTV-PyMT). The MMTV-PyMT mouse model is an extremely aggressive, well-characterized breast cancer model in which mice develop multifocal mammary tumors at a median age of 6–7 weeks. Moreover, lung metastasis occurs in these mice with 100% penetrance . Importantly, this breast cancer model does not require ERα expression for tumorigenesis or disease progression .
Net1 is required for cell proliferation in early lesions
Net1 deletion results in increased tumor necrosis and reduced tumor angiogenesis
Net1 is required for RhoA signaling in tumors
Net1 is required for PyMT signaling
To initiate cell signaling PyMT must first recruit the A and C subunits of PP2A, which then allows recruitment of Src [43, 44]. Src interaction with PyMT stimulates its tyrosine kinase activity, promoting phosphorylation of residues within PyMT that serve as docking sites for Shc, p85, and PLCγ [39, 40]. To determine whether the interaction of PyMT with PP2A, Shc, or PI3K was affected by Net1 deletion, we immunoprecipitated PyMT from wild-type and Net1 knockout tumors and tested for coprecipitation of each protein. We observed that coprecipitation of the A and C subunits of PP2A was significantly impaired by Net1 deletion, as was the coprecipitation of total and active Src, Shc, and p85 with PyMT (Fig. 5d). These data indicate that reduced activation of the Shc–ERK1/2 and PI3K–Akt pathways in Net1 knockout tumors results from impaired recruitment of key signaling molecules to PyMT.
Net1 deletion inhibits tumor angiogenesis and lung metastasis in a tumor cell autonomous manner
A Net1 gene expression signature predicts PI3K activation, cancer cell proliferation, and distant metastasis-free survival in human breast cancer patients
To identify cancer pathways that are lost in the Net1 −/− tumors, we predicted the activity of 52 pathways using previously published gene expression signatures  and approaches that we developed previously [32, 33]. A gene expression signature is a characteristic pattern in the transcriptional profile of a tumor that is indicative of the activation of a signaling pathway [47, 48]. Because they reflect the downstream consequences of pathway activity, gene expression signatures provide measures on the functional status of a pathway. Based on these signatures, we observed that three of those pathways, namely p53, PI3K, and proliferation, are consistently decreased in the Net1 knockout tumors (Fig. 7c). Thus, Net1-expressing tumors correlated with the transcriptional profile of p53 mutant tumors, while Net1-deleted tumors correlated with transcription in wild-type p53-expressing tumors. Similarly, a PI3K transcriptional signature was repressed by Net1 deletion, as was the proliferation-dependent gene expression signature (Fig. 7c). Thus, our observations indicating Net1 dependence for cell survival, PI3K activity, and proliferation in PyMT-expressing tumors matched the apparent Net1 dependence for these gene expression pathways.
Because of the importance of PI3K signaling to human breast cancer, we then assessed whether Net1 activation was associated with PI3K activity. To do this, we created a signature for Net1 activity using an empirical Bayes approach to identify the 277 genes (283 probes) that together can predict Net1 activation (Fig. 7d; Additional file 4: Figure S1; Additional file 5: Table S2). We then scored Net1 activity across breast cancer tumors from the TCGA  and correlated it with overexpression or mutagenic activation of the PI3K p110α catalytic subunit (PI3KCA) or deletion of the PIP3 phosphatase PTEN. We observed that 10% of all human breast cancers exhibited a high Net1 gene expression signature (Fig. 7e). Similar to previous results, 39% of human breast cancers exhibited PI3KCA activation, while 16% exhibited PTEN loss [49, 50, 51]. Importantly, patients with a high Net1 gene expression signature exhibited fewer instances of PI3KCA activation and increased incidence of PTEN loss (Fig. 7f). Coupled with our observation that PI3K signaling is high in wild-type PyMT tumors, this suggests that tumors with high Net1 activity did not require PI3KCA overexpression or mutagenic activation, but did tend to cosegregate with PTEN loss, to drive PI3K signaling.
When we assessed whether Net1 is activated in particular subtypes of breast cancer, we observed an increased incidence of a positive Net1 gene expression signature in basal-type breast cancers (Fig. 7g). This is consistent with other studies indicating that basal-type breast cancers tend to have a greater frequency of PI3K pathway activation . We then examined whether a high Net1 gene expression signature correlated with distant metastasis-free survival in human breast cancer patients. We observed that patients with a high Net1 gene expression signature experienced reduced distant metastasis-free survival in a breast cancer dataset  (Fig. 7h), consistent with the requirement for Net1 expression for metastasis in MMTV-PyMT mice. This result was confirmed in an independent dataset  (Additional file 6: Figure S2). Taken together, these data indicate that a Net1 gene expression signature is observed in highly proliferative breast tumors that harbor elevated PI3K signaling and tend to metastasize sooner, consistent with an important role for Net1 in disease progression in human breast cancer patients.
Although RhoA signaling is critically important for breast cancer cell motility and invasiveness in vitro, few studies have assessed its role in metastasis in vivo. In the present study we demonstrate that the RhoA subfamily GEF Net1 contributes to PyMT-driven tumorigenesis and is required for efficient lung metastasis. Moreover, we demonstrate that high Net1 signaling correlates with increased human breast cancer metastasis, indicating that our findings are relevant to human disease progression. To our knowledge, this is the first report of a RhoA GEF promoting breast tumorigenesis or metastasis.
MMTV-PyMT mice model luminal B-type breast tumors . However, the wide incidence of the Net1 gene expression signature in human breast cancers suggests that Net1 function is not limited to this breast cancer subtype. For example, we observed that a high Net1 gene expression signature correlated closely with human basal-type breast cancers (Fig. 7g). Moreover, the reduced distant metastasis-free survival in patients with a high Net1 gene expression signature was observed in a cohort of patients that was not subdivided according to cancer subtype (Fig. 7f). These findings, coupled with our previous results indicating that coexpression of Net1 with the β4 integrin predicted reduced distant metastasis-free survival and reduced overall survival in ERα-positive breast cancer patients , indicate that Net1 may promote metastasis in a wide range of breast cancer subtypes. The idea that aberrant RhoA activation drives breast cancer metastasis fits with the findings of others indicating that reduced expression of the RhoA subfamily-specific GAP DLC-1 is predictive of metastatic spread to the bone in all breast cancer subtypes . These findings are distinct from studies focusing on Rac1 activators, which appear to function in a more subtype-specific manner. For example, the Rac1 GEFs P-Rex1 and Vav2/3 contribute to metastasis in luminal subtype breast cancers, while the Rac1 GEF Dock1 controls metastasis in HER2-positive breast cancers [19, 20, 21]. The subtype independence of Net1 has important implications for therapeutic approaches, as it suggests that targeting Net1 would be a widely applicable therapeutic strategy for breast cancer. Our data indicating that Net1 deletion switched tumors to a wild-type p53 gene expression signature (Fig. 6c) may also suggest that targeting Net1 would sensitize breast tumors with wild-type p53 to chemotherapies dependent on p53 function.
A potential caveat of our Net1 gene expression signature is that it may contain components that reflect PyMT signaling, which would also be expected to include PI3K activation. Unfortunately, it is not technically possible to isolate the activity of one pathway from the function of the rest of the signaling network. In our design, we compare the gene expression profile of Net1 within a PyMT background, and, in principle, the contribution of PyMT should not be detected. Nevertheless, the notion that Net1 function is associated with PI3K signaling and metastasis is logical given the reported roles of Rho GTPase signaling in controlling PI3K activation and extracellular matrix invasion in cell-based studies. Future work will be required to dissect the components of the Net1 gene expression signature that are conserved among different breast cancer models.
It is unclear why there was not a significant increase in the survival of mice with Net1 deletion, given the observed delay in tumor initiation. On the surface this would suggest that Net1-deleted tumors proliferated more rapidly, yet this was clearly not the case as Ki67 staining was reduced in both early and late tumors (Fig. 2), and unbiased gene expression analysis demonstrated significantly reduced expression of proliferation associated genes (Fig. 6b, c). This apparent contradiction most likely reflects the short delay in tumorigenesis (only 20 days), and the fact that Net1-deleted tumors tended to be fluid filled and less firm, which may have increased their apparent volume when measuring tumor size with calipers. The observation that they had larger necrotic cores supports this idea (Fig. 3a–c).
The Net1 mouse model we used is a whole-body deletion of the Net1 gene, so some of the phenotypes we observed may be due to cancer cell extrinsic as well as intrinsic effects. That being said, our tumor cell transplant experiments indicate that many of the phenotypes we observed are tumor cell autonomous. For example, tumors arising from injection of Net1 knockout cells exhibited less proliferation, less angiogenesis, and increased apoptosis (Fig. 6b–g). Significantly, there was also less metastasis to the lungs (Fig. 6h, i), indicating that the decrease in metastasis in the genetic Net1 −/− ,PyMT mice was likely not the result of a delay in tumorigenesis. The decrease in proliferation in Net1 knockout cells is likely attributable to decreased signaling by PyMT (Fig. 5). However, it is less clear how Net1 influences tumor angiogenesis. Presumably, Net1 deletion inhibits the secretion of one or more angiogenic factors by the tumor cells. Whether this occurs through altered transcription, translation, or secretion is an open question, as RhoA signaling has been shown to impact each of these steps. Future work will be directed at understanding the mechanism by which Net1 controls tumor angiogenesis.
The PyMT oncogene is considered a general model for activated receptor tyrosine kinase (RTK) signaling in oncogenic transformation . Thus, the effects of Net1 on PyMT signaling to PI3K and ERK1/2 may have wider applicability. This idea is supported by our finding that our Net1 −/− tumors have reduced gene expression signatures for PI3K and proliferation signaling (Fig. 7c). Signaling by PyMT is initiated through interactions with PP2A and Src, and these interactions are greatly reduced in Net1 −/− tumors (Fig. 5d). The mechanism by which Net1 regulates recruitment of PP2A and Src to PyMT is at present unclear, as there is no precedence for regulation of these events by Rho GTPases. Net1 knockout tumor cells tended to express slightly more PyMT than wild-type cells (Figs. 2 and 5), so reduced recruitment cannot be due to effects on PyMT expression. One possibility is that loss of Net1 inhibits delivery of signaling molecules to the plasma membrane. RhoB has been shown previously to regulate EGF-mediated delivery of Src to the plasma membrane . Moreover, RhoB has been reported to interact with the catalytic subunit of PP2A and to control its ability to recruit the B55 regulatory subunit [57, 58]. Thus, it may be that Net1-dependent recruitment of PP2AA,C to PyMT is also RhoB dependent. In the future it will be important to test whether Net1 is required for recruitment of Src or PI3K to activated RTKs.
These data indicate that Net1 is important for PyMT-stimulated tumorigenesis and metastasis, and may also contribute to human breast cancer metastasis. Net1 contributes to breast cancer progression through multiple mechanisms, which include promotion of cancer cell proliferation and motility, and tumor angiogenesis.
The authors would like to thank Jeffrey Rosen, Jianming Xu, and members of their laboratories for their generous advice.
This work was funded by NIH grant CA172129 to JAF and CPRIT fellowship RP160015 to AU.
Availability of data and materials
The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus (GEO) repository, series entry GSE99643. All other data generated or analyzed during this study are included in this published article (and its supplementary information files).
YZ and JAF developed the hypotheses, designed the experiments, and drafted the manuscript. YZ performed all experiments associated with the manuscript. AU assisted with animal husbandry, breeding, and genotyping, and contributed to writing of the manuscript. JTC performed all bioinformatics analysis of gene expression in wild-type and Net1 KO tumors, and assisted with writing of the manuscript. All authors read and approved the final manuscript.
All mouse studies were approved by the Institutional Animal Care and Use Committee (IACUC) for the University of Texas Health Science Center at Houston (UTHealth) (protocol AWC 14-007) and were conducted in accordance with the guidelines of the US Public Health Service Policy for Humane Care and Use of Laboratory Animals.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
- 4.van Golen KL, Davies S, Wu ZF, Wang Y, Bucana CD, Root H, et al. A novel putative low-affinity insulin-like growth factor-binding protein, LIBC (lost in inflammatory breast cancer), and RhoC GTPase correlate with the inflammatory breast cancer phenotype. Clin Cancer Res. 1999;5:2511–9.PubMedGoogle Scholar
- 55.Gilcrease MZ, Kilpatrick SK, Woodward WA, Zhou X, Nicolas MM, Corley LJ, et al. Coexpression of alpha6beta4 integrin and guanine nucleotide exchange factor Net1 identifies node-positive breast cancer patients at high risk for distant metastasis. Cancer Epidemiol Biomark Prev. 2009;18:80–6.CrossRefGoogle Scholar
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.