Skip to main content

Combined Dusp4 and p53 loss with Dbf4 amplification drives tumorigenesis via cell cycle restriction and replication stress escape in breast cancer



Deregulated signaling pathways are a hallmark feature of oncogenesis and driver of tumor progression. Dual specificity protein phosphatase 4 (DUSP4) is a critical negative regulator of the mitogen-activated protein kinase (MAPK) pathway and is often deleted or epigenetically silenced in tumors. DUSP4 alterations lead to hyperactivation of MAPK signaling in many cancers, including breast cancer, which often harbor mutations in cell cycle checkpoint genes, particularly in TP53.


Using a genetically engineered mouse model, we generated mammary-specific Dusp4-deleted primary epithelial cells to investigate the necessary conditions in which DUSP4 loss may drive breast cancer oncogenesis.


We found that Dusp4 loss alone is insufficient in mediating tumorigenesis, but alternatively converges with loss in Trp53 and MYC amplification to induce tumorigenesis primarily through chromosome 5 amplification, which specifically upregulates Dbf4, a cell cycle gene that promotes cellular replication by mediating cell cycle checkpoint escape.


This study identifies a novel mechanism for breast tumorigenesis implicating Dusp4 loss and p53 mutations in cellular acquisition of Dbf4 upregulation as a driver of cellular replication and cell cycle checkpoint escape.


Dual-specificity phosphatase-4 (DUSP4) is a tumor suppressor gene that is frequently downregulated in human cancer through both epigenetic and genomic mechanisms [1,2,3,4,5,6,7,8]. The DUSPs represent a large family of phosphatases [9] with varying tissue expression, cellular localization and serine/threonine substrates. DUSP4 exhibits specificity for JNK and ERK kinases. Although JNK and ERK dephosphorylation by multiple DUSP family members has been reported, DUSP4 has a non-redundant function in suppressing these pathways [10].

Somatic and/or epigenetic DUSP4 loss of function (LOF) has been attributed to oncogenic function in EGFR-mutant non-small cell lung cancer [5, 11], glioma [7], diffuse large B cell lymphoma [8] and breast cancer [1,2,3,4, 6]. DUSP4 is an immediate early response gene to growth factor stimulation, downstream of the EGR1 transcription factor [12], and is robustly induced following Ras/MEK/ERK activation. As such, it is thought that DUSP4 functions as a negative feedback suppressor to regulate the duration and amplitude of the Ras/MEK/ERK pathway. DUSP4 loss can thus enable unrestricted and potent MAPK signaling, resulting in increased cellular growth through cellular stress, changes in energy metabolism [12], and loss of cell cycle checkpoint control [13]. Interestingly, replication stress in Brca2-null cells activates p53 and the expression of its target genes, including senescence-inducing Ink4/Arf. This pathway modifies p53 targets, leading to enhanced p53-mediated expression of DUSP4, resulting in cellular senescence. DUSP4 blockade has been reported to bypass replication stress-induced senescence in the context of sustained MAPK signaling [14].

We and others have previously identified DUSP4 as a critical regulator of Ras/MAPK activity and cancer stem cell-like functionality in breast cancer, most notably in basal-like breast cancers (BLBC) [2,3,4, 13], a molecular breast cancer subtype correlating with clinically defined triple negative breast cancers (TNBCs). BLBCs are nearly always accompanied by inactivating mutations in TP53, encoding p53 [15]. Given the previously reported role of DUSP4 as a p53 target, a potential cell cycle checkpoint, and in mediating senescence downstream of replication stress, we hypothesized that DUSP4 may be a critical oncogenic driver in breast cancer. However, targeted deletion of Dusp4 in mice as a single lesion is not known to generate spontaneous tumors of any kind, and these mice have mainly been used to study immunologic responses to inflammatory stimuli, such as infection [16] and cardiomyopathy, where combined deletion of both DUSP1 and DUSP4 is required for a cardiac phenotype [17].

In this study, we tested whether Dusp4 loss, together with other oncogenic events, could promote mammary tumorigenesis. We find that together with loss-of-function mutations in p53 and, to some degree, potentiated by cMyc overexpression, Dusp4 deletion aids in cell cycle checkpoint escape while simultaneously potentiating hallmarks of replicative stress, including multinucleation and Chk1 phosphorylation. Transformation was accompanied by focal amplification of the centromeric region of chromosome 5q, which includes cell cycle genes such as Cdk14 and Cdk6, as well as Dbf4 which controls origin firing and replication fork progression. We hypothesize that this amplification occurred due to chromosome mis-segregation during Dusp4 loss-induced replication stress and is selected for to re-establish replication maintenance and complete cell cycle control loss through specifically Dbf4 amplification. Finally, in both murine mammary cancer models and human breast cancers, we confirm associations of DBF4 overexpression with p53 and DUSP4 loss, suggesting co-dependency of these events in certain avenues to basal-like breast cancer carcinogenesis.


Genetically engineered mouse models

A targeting vector based on the C57/BL6 mouse Dusp4 genomic sequence was generated by genOway (Lyon, France), which included loxP sites flanking exons 3–4, the exons encoding the functional phosphatase domain and the stop codon, as well as a FRT-flanked neomycin cassette in the 3' homology arm for embryonic stem cell section. The targeting vector was transfected into C57BL/6 embryonic stem cells followed by clonal propagation of neomycin-resistant cells. Embryonic stem cells were injected into C57/BL6 blastocysts, which were then transplanted into C57/BL6 pseudopregnant females. Agouti offspring were mated to FLP recombinase transgenic mice, and resulting offspring were assessed for genomic recombination at the Dusp4 allele and neomycin cassette excision by southern analysis. Resulting mice, referred to herein as Dusp4fl/wt mice, were expanded on a C57BL/6 background and intercrossed to generate Dusp4FLOX mice. No overt phenotype in male or female DuspFLOX mice was observed, including fecundity, weight, and behavior under conventional housing.

The floxed Dusp4 allele was backcrossed for > 15 generations from C57BL/6 to the FVB/n background. No overt developmental phenotype in the mammary gland was observed in FVB/n mice crossed to MMTV-Cre mice (Jackson Labs, data not shown), which was performed prior to crossing with the MMTV-neu-ires-cre (MMTV-NIC, Jackson Labs) FVB/n model. FVB/n Dusp4WT/WT x MMTV-NIC, Dusp4FL/WT x MMTV-NIC, and Dusp4FLOX x MMTV-NIC female mice were monitored 3 × weekly.

For tumor growth analysis, tumors were measured twice weekly with calipers and volume was calculated in mm3 using the formula (length x width x width/2). Measurements reflected the combined size of all palpable tumors across mammary glands (burden). Mice were humanely euthanized when the tumor burden reached 2 cm3.

Generation of derivative cell lines and cell culture

Primary mammary epithelial cells from a 6-week-old Dusp4FLOX C57/BL6 mouse were isolated by enzymatic and mechanical dissociation and cultured in Cnt-Prime progenitor cell-targeted media for > 2 months according to the manufacturer’s recommendations (CELLnTEC). A population of progenitor-like epithelial cells was generated with a stable phenotype beyond 30 passages. These cells were first transiently infected with Ad-GFP or Ad-Cre-mCherry (Vector Labs) at an MOI of 100 and sorted by flow cytometry, generating Dusp4FLOX and Dusp4NULL cell lines. After loss of fluorescence (at least 14 days), both cell lines were subsequently infected with retrovirus from pQCIG [18] expressing sgRNA for exon 5 or 7 of Trp53 (Trp53Δex5/ex7) or a control sgRNA (Trp53WT), sorted for GFP expression, and selected by 1uM nutlin 3a treatment for 1 week (with the exception of the control-transduced cells) to enrich functionally p53-deficient cells as previously described [18]. Each derivative cell line was then transduced with lentivirus (pLX302) containing expression cassettes for LACZ (MYCWT) or human cMYC (MYCAMP). All cell lines were maintained in Cnt-Prime media for all experiments, or until injected into the #5 mammary fat pad. Initial tumor implantation studies using progenitor cell lines were performed within 10 passages of cell line generation (i.e., the final genetic manipulation).

The DPM (Dusp4NULL Trp53Δex7 MYCAMP) cell line was established by enzymatic and mechanical dissociation of a primary tumor grown in a nu/nu mouse and cultured in serum-free DMEM/F12 media containing hydrocortisone, EGF, and insulin for 1 month to deplete fibroblasts, before transitioning to DMEM + 10% FBS for routine culture. DPM cells were further transduced with pGIPZ lentivirus shRNA targeted at murine Dbf4 (shDbf4) (Clone ID: V2LMM_219955; sequence: TGCTGTTGACAGTGAGCGCCCGAGTGCTGAATTGGATAAATAGTGAAGCCACAGATGTATTTATCCAATTCAGCACTCGGTTGCCTACTGCCTCGGA) or non-targeted control (shNTC) and selected for bright GFP expression by fluorescence-assisted cell sorting. Individual single-cell-derived clones were expanded and evaluated for knockdown by qRT-PCR for Dbf4. Four clones with Dbf4 mRNA < 25% that of NTC were pooled for subsequent studies. Human DUSP4 and phosphatase-dead DUSP4 generated by site-directed mutagenesis (DUSP4-PD; C279S [19]) were generated by cloning the human DUSP4 gene coding sequence from MDA-MB-231 cells, inserted into pENTR221 by ligation and recombined into the pLX304 lentiviral vector by Gateway cloning.

Orthotopic animal experiments

For orthotopic models, cell lines (1 × 106 cells) were injected in 100uL Matrigel into the #5 mammary fat pad of athymic nu/nu female mice or 6-week old C57/BL6 female mice, where indicated. Tumor formation and growth was followed for up to 60 days. Tumors were measured 2 times weekly with calipers, and volume was calculated in mm3 using the formula (length x width x width/2). Mice were humanely euthanized when the tumor burden reached 2 cm3, or at 60 days, if tumors had not yet reached this endpoint or if no tumor formed. Initial tumor implantation studies were performed within 10 passages of cell line generation (i.e., the final genetic manipulation).

Soft agar assays

Soft agar assays were carried out in 6-well dishes using 5 × 104 cells. A single-cell suspension in 0.4% agarose in 1 × media was layered on the top of a bottom layer of 0.8% agarose in 1 × media. Fresh 1 × media was applied to cells every 3 to 4 days to protect against dehydration. Colonies were examined after 2 to 3 weeks on a GelCount Scanner (Oxford Optronix).

Western blotting

Western blotting was performed as previously described [20]. Briefly, tumor fragments or cells were homogenized in 1X RIPA buffer lacking SDS detergent (50 mM Tris pH 7.4, 150 mM NaCl, 1.0% NP-40, 0.5% deoxycholic acid, 1 mM EDTA, 1 mM EGTA, 5 mM sodium pyrophosphate, 50 mM NaF, 10 mM b-glycerophosphate) with added phosphatase inhibitors (PhosSTOP, Roche) and protease inhibitors (cOmplete, Roche) using a Qiagen TissueLyser. Lysates were adjusted to 0.1% SDS, followed by 30-min incubation on ice. Lysates were centrifuged at 13,000xg for 15 min at 4 °C. Protein concentrations of the lysates were determined by BCA assay (Thermo). Samples were separated by 10% SDS-PAGE and transferred to nitrocellulose membranes. Membranes were blocked with 5% non-fat dry milk or 5% BSA in tris-buffered saline (TBS) with 0.1% Tween-20 for 1 h at room temperature and then incubated overnight at 4 °C with the appropriate primary antibody in blocking buffer as indicated. Following incubation with appropriate horseradish peroxidase-conjugated secondary antibodies, proteins were visualized using an enhanced chemiluminescence detection system (Thermo). This study was performed using the following antibodies: AKT (2920; Cell Signaling Technology), Calnexin (SC-11397; Santa Cruz), cMYC/nMYC (13,987; Cell Signaling Technology), HDAC1 (5356; Cell Signaling Technology), cJUN (9165; Cell Signaling Technology), DUSP4 (5149; Cell Signaling Technology), ETS-1 (SC-350, Santa Cruz), p21 (6246; Cell Signaling Technology), Phospho-AKT(Ser473) (4060; Cell Signaling Technology), Phospho-CHK1 (Ser345) (2348S; Cell Signaling Technology), Phospho-cJUN (Ser63) (2361; Cell Signaling Technology), Phospho-cJUN (Ser73) (3270; Cell Signaling Technology), Phospho-ERK1/2 (9120; Cell Signaling Technology), Phospho-SAPK/JNK (9255; Cell Signaling Technology), and RPA32 (52448S; Cell Signaling Technology).

Multiplexed immunofluorescence

Paraffin tissues were embedded and sectioned at 5 μM and dewaxed in xylene and rehydrated in alcohol with citrate antigen retrieval. Standard Mayer’s hematoxylin and eosin (H&E) was performed. The following antibodies were used: Krt8/18 (Fitzgerald 20R-CP004 1:500) and Krt5 (BioLegend 905,501 1:500). Paraffin-derived sections were counterstained with hematoxylin (Vector Labs) and mounted with Cytoseal. Immunofluorescence staining was performed with primary and secondary antibodies diluted in 12% Fraction-V BSA (Pierce) and slides mounted in SlowFade mounting medium containing DAPI (Invitrogen). All fluorescent secondary antibodies (Krt5: Goat Anti-Rabbit A488 A-11034 (K8/18: Goat Anti-Guinea-Pig A594 A-11076, Thermo Fisher) were highly cross-adsorbed and used at a dilution of 1:200 for 20 min. Nuclei were stained with SlowFade Gold with DAPI (S36939 Thermo Fisher).

Quantitative real-time PCR

RNA was harvested from cells or tumor homogenates using the Maxwell 16 automated workstation (Promega) and LEV simply RNA Tissue kit (Promega). RNA was then analyzed for concentration by a NanoDrop 2000 (Thermo Fisher) prior to cDNA synthesis using the SensiFAST cDNA synthesis kit (Bioline) with 1 µg of RNA per sample. cDNA and SSO advanced SYBR green universal supermix (BioRad) were then combined with target-specific primers on a CFX96 Touch Real-Time PCR Detection System (BioRad). Oligo sequences for qRT-PCR consisted of: Akap9 forward 5’-TTACCATTGCAGAATAGGTACCCG-3’ reverse 5’-AACGGATTATCTCCTCATGCC-3’; Cdk6 forward 5’-TGGTCAGGTTGTTTGATGTGTGC-3’ reverse 5’-AGTCCAGACCTCGGAGAAGC-3’; Cdk14 forward 5’-TTGTCCGAGAGTTTCAGCCG-3’ reverse 5’-TTGTGACACATATCTCATCAAAGGT-3’; Dbf4 forward 5’-ACGAAGATCTCGAAACTCACC-3’ reverse 5’-AAGAAAGGGACCCGACACTG-3’; Dusp4 forward 5’CATCGAGTACATCGACGCAG-3’ reverse 5’-ATGAAGCTGAAGTTGGGCGA-3’; Fzd1 forward 5’-GAGGTGCACCAGTTCTACCC-3’ reverse 5’-TCACACTTGAGCGTGTCTGG-3’; Gapdh forward 5’-AGGTCGGTGTGAACGGATTTG-3’ reverse 5’-TGTAGACCATGTAGTTGAGGTCA-3’.

Clonogenic growth assay

PMECs transduced with CRISPR/Cas9 constructs targeting Trp53 (exon 7 or exon 5) or scramble control (Parent) were plated at a density of 1,000 cells per well in a 6-well plate and treated with 10uM nutlin-3a or DMSO for 7 days. Cells were fixed and stained with 0.5% crystal violet for 20 min at room temperature.

High-content DNA analysis

Fixed, DAPI-stained cells were imaged using a 10 × Nikon Plan Fluor objective and DAPI filter on the ImageXpress Micro Widefield High Content Screening System (Molecular Devices) in the Vanderbilt High-throughput Screening (HTS) core facility. Images were analyzed using the Micronuclei application module within the MetaXpress software. This analysis module identifies individual Hoechst-stained nuclei based on the size, intensity, and distance from adjacent cells. The nuclei from the total number of cells in the well are classified as mononucleated, binucleated, multinucleated, or mitotic. Micronuclei are identified based on the size, intensity, and distance from the main nucleus. A small nuclear mass that is contiguous or attached to a main nucleus was not identified as a micronucleus. Nine sites were captured per well, which contained a minimum of 1000 cells per condition. Data are expressed as the mean % multinucleated cells from 3 replicate cultures ± standard deviation. Statistical significance of the % multinucleated cells in the treated cultures at each dose level compared with the control (vehicle treated) cultures was determined using a t test. The micronuclei application module automatically excludes mitotic and apoptotic nuclei (proprietary algorithm). Calculated values were exported from MetaXpress, and data were plotted using GraphPad Prism software.

Whole-genome sequencing

DNA isolated from murine cell lines was sequenced to 10X coverage on an Illumina HiSeq. FastQC was performed on raw data, Cutadapt for adapter trimming, BWA v0.7.12 for genome mapping, and base recalibration based on GATK3 (v3.5.0). cnMops was used to identify copy number variation. DNA was harvested from progenitor cell lines within 10 passages of cell line generation (i.e., the final genetic manipulation).

Cell cycle analysis

EdU incorporation was measured using Click-iT EdU Alexa Fluor 488 Flow Cytometry Assay Kit (Thermo Fisher) according to manufacturers’ protocol. Briefly, cells were labeled with 10 uM Click-iT EdU for 2 h in normal growth media, harvested, fixed for 15 min at room temperature, and permeabilized. Cells were stained with EdU Click-iT reaction detection cocktail for 30 min at room temperature, covalently catalyzing the Alexa Fluor 488-conjugated picolyl azide and ethynyl moiety of EdU. Finally, cells were stained with DAPI for 15 min for DNA content quantification. Flow cytometry was performed on samples using a Nxt Attune Analyzer (Thermo Fisher), and files were analyzed with FlowJo software.

Fluorescence in situ hybridization

A custom FISH probe was generated from bacterial artificial chromosome (BAC) Clone Library RPCI-23 (clone name RP23-22E16) labeled with Green 5-Fluorescein dUTP covering the predicted amplified region of murine (mm10) chromosome 5 containing the Dbf4 gene. FISH hybridization and analysis was performed according to the manufacturer’s recommended protocol (Empire Genomics). Deparaffinization, protease treatment, and washes were performed as per standard protocols. After this pretreatment, 4-μm FFPE tissue sections were denatured in the presence of 10  μL of the probe for 6 min at 72 °C and hybridized at 37 °C overnight in StatSpin (ThermoBrite, Abbott Molecular) with the FISH probe RP23-22E16. Post-hybridization saline sodium citrate washes were performed at 72 °C and the slides were then stained with DAPI before analysis. Tumor tissue was scanned at 20X magnification (BX60 fluorescent microscope, Olympus) to identify appropriate regions for analysis. Images for cell counting were captured with a 100 × oil immersion objective using CytoVision software (Leica). At least 40 tumor cells per case were scored.

To generate metaphase spreads, cells were treated with 150 ng/mL colcemid (Gibco KaryoMAX in PBS) for 1.5 h, harvested with trypsin, and swollen in 1:1 solution of 75 mM KCl/0.9% sodium citrate for 10 min at 37 °C. Cells were pelleted, then fixed with a 3:1 ice cold solution of methanol/acetic acid, added dropwise while gently vortexing. Following fixation, cells were pelleted and resuspended in fresh fixative and dropped onto humidified slides and air-dried overnight. FISH was performed following manufacturer’s protocol (Empire Genomics), stained with DAPI, and mounted with ProLong Antifade Gold (Thermo Fisher) under #1.5 glass coverslips. Metaphases were imaged using a 100 × 1.4 NA objective (Olympus) on a DeltaVision Elite imaging system (GE Healthcare) equipped with a Cool SnapHQ2 charge-coupled device (CCD) camera (Roper). Optical sections were collected at 200-nm intervals and processed using ratio deconvolution in softWoRx (GE Healthcare). Images are from single z-slices and were prepared for publication using ImageJ (Version 2.1.0/1.53 h).

Statistical analysis

Statistics were performed in GraphPad Prism or R ( In data with two groups, two-sample t tests were utilized. For analyses with > 2 groups, significant differences were determined by ANOVA with a Tukey’s post hoc test adjustment for multiple comparisons. For all multiple comparisons, statistical significance is noted by *p < 0.05; **p < 0.01, ***p < 0.001 and ****p < 0.0001. A p-value of < 0.05 was considered statistically significant. Bar graphs show mean ± SEM, unless otherwise stated in the figure legend.


Dusp4 loss in MECs does not accelerate MMTV-neu-mediated tumorigenesis

We and others have previously shown that DUSP4 is a potential tumor suppressor in basal-like or TNBC and is frequently lost or downregulated, leading to cancer stem-like phenotypes and activation of MAPK pathways [2,3,4, 13]. Dusp4 has also been described as a direct target of p53 [14, 21] and a G1/S checkpoint modulator [13]. However, the role of Dusp4 in tumor initiation has not been studied. To address this, while avoiding impact of Dusp4 loss on immunologic function [16, 22], we generated a murine model with a floxed Dusp4 allele (Fig. 1A). Floxed Dusp4 mice were crossed with the MMTV-Neu-Ires-Cre (MMTV-NIC) luminal model of mammary tumorigenesis, which ensures Dusp4 deletion in Neu + tumor cells. MMTV-NIC is a useful model to study the contribution of loss of tumor suppressor genes, such as PTEN, in breast cancer development [23]. Interestingly, Dusp4FLOX MMTV-NIC tumors did not display shorter latency or accelerated growth rates; in fact, bi-allelic deletion modestly prolonged latency (Additional file 1: Fig S1A; in vitro proliferation of the cell lines depicted in Additional file 1: Fig S6A). Dusp4 mRNA was concordantly decreased in tumors from heterozygous and homozygous animals, and biallelic deletion resulted in modestly upregulated ERK1/2 and JNK phosphorylation in tumors, the expected and known targets of Dusp4 phosphatase activity (Additional file 1: Fig S1B–C).

Fig. 1
figure 1

Generation of Dusp4-null progenitor-like primary mammary epithelial cells. A Schema for generation of a floxed murine Dusp4 allele. loxP sites flanking exons 3–4 were inserted using homology-directed recombination. The FRT-flanked neo cassette in the 3’ homology arm was excised following crossing to Flp deleter mice. B Bright-field images of Dusp4FLOX cells at 40X (scale bar = 50 µm), low and high confluency. C Dusp4 mRNA expression in Dusp4FLOX cells after transient infection with Ad.GFP or Ad.Cre

We reasoned that this lack of phenotype could be due to the luminal-like nature of the MMTV-Neu model, given that most examples of DUSP4 loss occur in basal-like breast cancer [3, 4], which is substantially different in nature to that of luminal like disease [15]. As preliminary studies of Dusp4 loss alone in the mammary gland via MMTV-Cre crosses did not produce mammary gland hyperplasia (data not shown), we concluded that alternative oncogenic events more replicative of those observed commonly in basal-like breast cancer may cooperate differently with Dusp4 loss.

Two hallmark oncogenic events enriched in basal-like breast cancer are Tp53 (p53) loss-of-function mutations [15] and MYC amplification [24]. Interestingly, in human breast cancer [15], DUSP4 deletion events are highly co-occurring with both of these lesions (Additional file 1: Fig. S2A). Deletion of Dusp4 in the context of Trp53−/− models in a mammary tissue-specific manner would represent a technically challenging approach, and thus we asked whether the contribution of these genomic events to mammary cell transformation could instead be studied through genetic manipulation of mammary-derived progenitor-like cells from the glands of Dusp4FLOX mice.

To this end, we generated a C57/BL6 Dusp4FLOX cell line from mammary epithelial cells using a fully defined, animal-component-free culture medium for isolation and expansion of epithelial cells, which includes growth factors and co-factors to extend progenitor cell longevity and improve growth factor binding to membrane-bound receptors. These primary mammary epithelial cells (PMECs) demonstrated moderate growth rates, tight junctions at high confluency (Fig. 1B), and would continue in culture for > 30 passages (limit not formally reached). Using these cell lines, Dusp4 could be excised and complete loss of Dusp4 mRNA was observed by transient adenoviral infection with Cre (Fig. 1C). Subsequent genetic events in the cells, as detailed throughout the remainder of this report, were introduced by lenti- and retroviral transduction as shown in Additional file 1: Fig S2B.

Dusp4 loss cooperates with Trp53 loss of function to promote anchorage-independent growth

To generate derivatives of both Dusp4-competent and deleted PMECs (Dusp4 mutations shown in Additional file 1: Fig SA3A–B), we utilized a functional selection strategy with Trp53-targeted CRISPRs. Cell lines were transduced with either one of two sgRNA/Cas9 retroviruses targeted to exon 5 or 7 of Trp53 (or scrambled control). Transduced cells were selected with nutlin-3a (MDM2 inhibitor, not used for scrambled control cells) for 1 week to generate polyclonal cell lines with p53 loss of function (LOF; Fig. 2A, deletion confirmed by immunoblotting Additional file 1: Fig S3D) according to previous studies [18]. Disruptive insertions/deletions in the p53 gene at the appropriate target exons were confirmed by sequencing (data summarized in Additional file 1: Fig S3C). Soft agar colony-forming studies showed a modest increase in colony size distribution with both Dusp4 loss and p53 LOF, that appeared to be more dramatic in cell lines with both deletions, suggesting possible transformation (Fig. 2B).

Fig. 2
figure 2

Enhanced soft agar growth with combined Dusp4 loss and Trp53 (p53) deletion. A Crystal violet 2D culture assay of PMECs transduced with CRISPR/Cas9 constructs targeting Trp53 (exon 7 or exon 5) or scramble control (Parent) and selected with 10uM nutlin-3a for 1 week, or DMSO control. Trp53 CRISPR transductants demonstrate insensitivity to MDM2 inhibition, verifying loss of p53 function. B Soft agar colony formation assay for Dusp4FLOX or Dusp4NULL PMECs transduced with control sgRNA or Trp53 sgRNA. C Western blot analysis of derivative PMECs

We next performed subsequent transduction of enforced MYC or LACZ control into each cell line. Western blot analysis confirmed loss of p21 expression (a canonical p53 target) and overexpression of MYC in appropriate cell lines, but little other effects on MAPK or PI3K pathway signaling in whole cell lysates were observed (Fig. 2C). Interestingly, modest (and sometimes inconsistent) overexpression of MYC was observed with Dusp4 loss, although the mechanism underlying this observation was not determined or tested in this study.

Dusp4 loss cooperates with Trp53 loss of function and MYC amplification to promote tumorigenesis

To more directly study the effect of Dusp4 loss on tumorigenic features of the cell line derivatives, we orthotopically implanted each cell line derivative with its appropriate Dusp4-competent and Dusp4-deleted isogenic derivative in opposing #5 mammary fat pads of athymic nu/nu mice. Tumor formation and growth were monitored for 60 days. Strikingly, we observed robust tumor formation and cell growth with Dusp4 loss in a p53 LOF context, regardless of MYC amplification (Fig. 3A–B). This observation was consistent with our in vitro soft agar growth assays (Fig. 2B). Although a direct contribution of MYC overexpression could not be determined due to a lack of completely isogenic pairs, it was of note that the most aggressive cell line also harbored MYC amplification. Only one cell line with competent Dusp4 produced tumors (Trp53Δex5 + MYCAMP), and these tumors were substantially smaller and slower growing than their Dusp4-deleted counterparts. The resulting tumors demonstrated primarily squamous and adenosquamous histologies, with the presence of robust keratin pearls (KP; Fig. 3C). These tumors also expressed both basal (keratin 5) and luminal (keratin 8/18) cytokeratins in heterogeneous patterns (Fig. 3D). Tumors were dissociated, and primary tumor cells were cultured for molecular analysis of transformed cells driven by defined genetic alterations. Thus, the Dusp4NULL/Trp53Δex7/MYCAMP (DPM) tumor cell line was used for subsequent study.

Fig. 3
figure 3

Dusp4 loss potentiates tumorigenesis in cooperation with p53 loss and MYC overexpression. A Tumor formation and growth rate of orthotopically transplanted PMECs bearing Dusp4 loss, Trp53 loss, and/or MYC amplification. Dusp4-competent and excised comparator cell lines in each case were transplanted into opposite mammary fat pads (n = 5 mice/group). Dusp4FLOX Trp53Δex5 and Dusp4NULL Trp53Δex7 derivatives were lost early in development due to contamination and thus are not isogenic with one another, but bear similar functional genomic modifications. B Example images of nu/nu mice bearing Dusp4-competent and excised comparator cell line inoculations in opposing mammary fat pads. C Representative images of H&E histology of tumors derived from Dusp4NULL Trp53Δ MYCAMP cells with adenosquamous or squamous differentiation. KP: keratin pearls. D Multiplexed immunofluorescence for basal (Krt5) and luminal (Krt8/18) keratins in tumors arising from Dusp4NULL Trp53Δ MYCAMP cells, with an associated normal duct as a control for staining. KP: keratin pearls

Acute Dusp4 loss does not directly impact tumorigenesis and is uncoupled from phosphatase activity

Since we observed a robust effect of Dusp4 loss on tumorigenic potential, coupled with modest changes in Ras/MAPK pathway activity, we sought to determine whether direct canonical Dusp4-mediated phosphatase activity and Ras/MAPK signaling was indeed the primary factor in tumorigenesis. To test this canonical hypothesis, we utilized Dusp4 competent Trp53Δex7 + MYCAMP cells, which did not form tumors, and acutely deleted Dusp4 with Ad-Cre one week prior to injection into C57/BL6 hosts. Interestingly, these cells failed to form tumors, in contrast to the cell line with de novo deficient Dusp4 (Fig. 4A). Moreover, lentiviral reconstitution of DUSP4 (human sequence) or phosphatase-dead DUSP4 (DUSP4PD) [19] into Dusp4-deficient DPM tumor cells did not suppress tumor formation in nu/nu mice, though growth rate was modestly impacted (Fig. 4B). Re-expression of DUSP4, but not the PD-DUSP4, suppressed cytoplasmic ERK1/2 phosphorylation after serum stimulation demonstrating the predicted functionality of the re-expressed constructs (Fig. 4C). Thus, our data argue against a direct role of oncogenic cell signaling in driving tumorigenesis with Dusp4 loss.

Fig. 4
figure 4

Evidence that tumor-forming potential of Dusp4NULL Trp53Δ MYCAMP cells is not due to classical Dusp4 function. A Tumor growth curves of Dusp4NULL Trp53Δex7 MYCAMP cells (tumor forming) or Dusp4FLOX Trp53Δex7 MYCAMP cells (not tumor forming), with or without Cre, administered 1 week prior to injection into C57/BL6 mice. (n = 5 mice/group) B Tumor growth curves of DPM tumor cell line (derived from re-culture of dissociated Dusp4NULL Trp53Δex7 MYCAMP tumors), after transduction with GFP control, or reconstitution of human DUSP4, or phosphatase-dead DUSP4 (hDUSP4PD) (n = 5 mice/group). Inset demonstrates expression of DUSP4 by a human-specific antibody. C Nuclear and cytoplasmic fractions of DPM GFP, hDUSP4, and hDUSP4PD cell lines, serum starved and stimulated with FBS over a time course. + CON is human MDA-MB 231 cell lysate

Tumorigenic Dusp4 and Trp53 loss (± MYC amplification) cell lines acquire a centromeric amplicon on chromosome 5

Given the observation that abrupt Cre-mediated Dusp4 excision from the non-tumorigenic Dusp4FLOX Trp53Δ MYCAMP was not sufficient to induce tumorigenesis (Fig. 4A), we postulated that Dusp4 loss may alternatively induce cellular changes that create a selective force for the emergence of tumorigenic clones (for example, genomic instability). Supporting this possibility, multinucleation in cells was observed with Dusp4 loss (Fig. 5A) and quantification of this across Dusp4NULL and Trp53Δ cell lines demonstrated enhanced multinucleation with either or both events (Fig. 5B–C). Trp53 loss is known to induce tetraploidy, which is consistent with this observation. We hypothesized that this multinucleation could be due to replication stress, eventually leading to chromosome mis-segregation and genomic copy number variations that are selected for with in vitro propagation. Consistent with this hypothesis, loss of Dusp4 alone increased EdU incorporation (S phase) and further increased in DPM cells (Fig. 5D–E). Supporting a possibility of enhanced DNA synthesis and replication stress, phosphorylation of Chk2 was increased in Dusp4NULL cells and Trp53Δ cells, indicating replication stress that was relieved in cells carrying both alterations (Fig. 5F).

Fig. 5
figure 5

Combined Dusp4 and p53 loss induces multinucleation and eventual escape from replication stress. A Representative images of polyploidy/multinucleation in Dusp4 NULL cells. B Quantification of nuclear content in primary mammary epithelial-derived cell lines with various genetic alterations. C Representative images of Dusp4NULL cells stained with DAPI to visualize nuclear DNA content. D Cells were labeled with EdU and counterstained with DAPI and analyzed by flow cytometry to analyze DNA synthesis. Representative flow cytometry gating is shown. E S phase analysis by EdU *Tukey’s post hoc p < 0.05** p < 0.001. F G2 phase analysis demonstrating increased G2 phase in Dusp4NULL p53Δ and DPM cells. G Whole-cell lysates were immunoblotted for replication stress marker pCHK1

Next, we performed low-pass (10X coverage) whole-genome sequencing (WGS) on cell line derivatives. Aside from sporadic low-level copy gains, only one focal amplification was observed in some cell lines, which encompassed the p arm (telo/acrocentric), centromere, and centromere–proximal region of murine chromosome 5 (Fig. 6A and Additional file 1: Figure S4). This amplified region, which was present only in cell line derivatives that formed tumors in nu/nu mice (Fig. 6A), included several characterized genes (Fzd1, Akap9), as well as cell-cycle-associated genes (Dbf4, Cdk6, Cdk14) (Additional file 1: Fig S5A). qPCR revealed that each of these genes was highly overexpressed in amplified/tumorigenic cell lines, to differing degrees (Additional file 1: Fig S5B), including the one Dusp4-competent cell line (Dusp4FLOX Trp53Δex5 MYCAMP) that formed small (< 300mm3) tumors. Amplification of this region was further confirmed by FISH (Fig. 6B) in DPM cell forming tumors compared to normal mammary tissue. Using metaphase spreads and FISH, we found that this amplification was confined to chromosome 5 with what appeared to be tandem duplications of the region throughout the same chromosome, supporting an idea of chromosome mis-segregation as a repeated event (Fig. 6C). It is unclear if this was an early or late event in the generation of the cell line models but occurred within 10 passages of the final genetic manipulation of the cell lines, as was the point of DNA harvest for NGS. Interestingly, a similar spontaneous amplification was previously reported to be observed in a C57/BL6 chimeric murine model of colorectal cancer driven by mutant p53 and beta-Catenin [25]. The presence of this amplification, which was associated with tumor propagation and metastasis, co-occurred with a spontaneous Kras mutation [25], thus including two of the pathway-directed alterations in our own studies (Ras/MAPK and p53).

Fig. 6
figure 6

Tumorigenic capacity of Dusp4NULL Trp53Δ MYCAMP cells is associated with chromosome 5 amplification. A Whole-genome sequencing of PMEC-derived cell lines with Dusp4 loss, Trp53 loss, and/or MYC amplification. Dusp4NULL Trp53Δex7 MYCAMP cells (tumor forming) or Dusp4FLOX Trp53Δex7 MYCAMP cells (not tumor forming). B FISH for chromosome 5 centromeric amplicon in DPM tumors compared to normal murine mammary gland tissue. C Representative images of FISH in metaphase spreads from DPM and Dusp4FLOX cells. In the right panel is a magnification of chromosome 5

Dbf4 is a driver of cell cycle checkpoint escape and tumorigenesis

Next, we hypothesized that Dusp4-mediated G1/S checkpoint loss may lead to changes in genomic stability leading to emergence of tumorigenic clones. Given the upregulated transcriptional signature of genes located in the amplified region of chromosome 5, we tested the potential impact of cell cycle checkpoint Cdk6, which is present within the amplified region of chromosome 5, as a potential driver of the proliferative advantage in the Dusp4-deleted cell lines. We found that treatment with Palbociclib, a selective CDK4/6 inhibitor, did not increase the proliferative capacity of Dusp4-null cells (Additional file 1: Fig S6B). Consequently, we focused on Dbf4 as a potential driver of the transformative “switch” in DPM cells. DBF4 is a critical cell cycle regulator that forms a complex with Cdc7 (Dbf4-dependent kinase, or DDK) to initiate DNA replication and may be a “chokepoint” or bottleneck in cells rapidly progressing through G1/S by rescuing stalled replication forks [26]. Therefore, we silenced Dbf4 expression in DPM tumor-forming cells using short-hairpin RNA (Fig. 7A) and inoculated them orthotopically in athymic nu/nu mice. Compared to nontarget control DPM cells, Dbf4 loss significantly suppressed the tumor forming capacity by delaying tumor onset and reducing tumor growth rate (Fig. 7B). Sustained Dbf4 knockdown in DPM-shDbf4 tumors was validated by qRT-PCR for Dbf4 expression in excised tumors (Fig. 7C).

Fig. 7
figure 7

DBF4 overexpression contributes to tumor progression and occurs preferentially in p53-altered tumors and DUSP4-deleted tumors. A qRT-PCR analysis for Dbf4 expression in DPM cells transduced with short-hairpin Dbf4 or nontarget control plasmid in athymic nu/nu mice B Tumor growth rate of orthotopically transplanted DPM cells (n = 5 mice/group) transduced with short-hairpin Dbf4 or nontarget control plasmid in athymic nu/nu mice. C Dbf4 mRNA expression in DPM (control and shDbf4) tumors excised from athymic nude mice demonstrating continued Dbf4 suppression. Interrogating murine tumor line and human TCGA databases correlates Dbf4 mRNA overexpression with p53 mutations in (D) murine mammary tumors and Dusp4 loss (E) and p53 mutations (F) in humans

Consistent with our observations in this study, we found that p53-altered mammary tumors demonstrated higher Dbf4 mRNA expression in a series of 201 microarray samples from diverse genetically engineered mouse models (GEMM) of breast cancer [27] (Fig. 7D). Dusp4 mRNA could not be measured in this dataset as it was a poor-quality probe which was filtered in QC steps. However, in The Cancer Genome Atlas (TCGA) human breast cancer dataset, both tumors with DUSP4 deletions and those with p53 loss showed elevated transcript levels of Dbf4 (Fig. 7E–F), supporting cooperation among Dbf4, p53, and Dusp4 in promoting breast cancer oncogenesis.


Oncogenic signaling is critical for tumorigenesis of nascently transformed cells. A plethora of studies demonstrate the role of MAPK/ERK signaling in promoting tumorigenic functions such as proliferation, epithelial–mesenchymal transition, and angiogenesis [28, 29]. While canonical mutations in Ras/MAPK genes (for example KRAS G12V and BRAF V600E) are rare in breast cancer, Ras/MAPK is often overactivated in response to pathway deregulation [3, 4]. Indeed, several studies from our laboratory and others implicate DUSP4 loss in prolonged MAPK/ERK activation, particularly in highly aggressive subtypes of breast cancer, like basal-like breast cancers [3, 4]. In this study, we explored the tumorigenic potential of primary mammary epithelial cells harboring different genetic alternations and found that Dusp4 loss converges with p53 mutation and, to a lesser extent, cMyc overexpression, to promote tumorigenesis, which was associated with chromosome 5 amplification. The amplified region of chromosome 5 contains several critical cell cycle regulators, including Dbf4. Importantly, this amplicon was also generated in one cell line with intact Dusp4 which has acquired a hyper-mutated phenotype by whole exome sequencing (> 2000 SNVs; data not shown), leading to the hypothesis that while Dusp4 loss may have facilitated the generation or selection of the chromosome 5 amplicon, it was not required, and other mechanisms could lead to the same effect.

The Cdc7-Dbf4 complex phosphorylates the minichromosome maintenance (MCM) protein complex leading to the progression of the cell cycle through S phase to induce mitotic DNA replication in mammalian cells [30]. Studies have shown that Cdc7-Dbf4 (Dbf4-dependent kinase; DDK) overrides replication stress in cancer cells to promote replication [31], which can be reversed using DDK inhibitors to promote fork stalling and cell cycle arrest [26]. To date, only one study investigated the overexpression of Cdc7-Dbf4 in many in vitro tumor lines, linking this overexpression with p53 mutations [32], albeit specific overexpression of DBF4 in primary human breast cancer was not confirmed. We found that cells with Dusp4 and p53 loss acquire Dbf4 amplification presumably through selective pressure, possibly to bypass fork stalling and advance to G2/M phase of the cell cycle, thus explaining their tumorigenic potential versus cells with Dusp4 loss alone.

It is important to note that our approach has several caveats, particularly in respect to the well-studied p53 pathway. Firstly, we used a CRISPR/Cas9 p53-targeted approach that generated indels in the p53 gene, most likely generating loss of function (LOF) of p53 via truncated protein products. Both LOF and gain-of-function (GOF) mutations constitute a considerable proportion of TP53 alterations in human breast cancer, though GOF appears to be moderately more prevalent. Thus, our approach was not designed to dissect differences between these types of p53 alterations. However, recent studies have found that most of the GOF phenotypes thought to be directly mutant p53-mediated are, in fact, related primarily to the aneuploidy and genomic entropy caused by p53 LOF [33]. Secondly, we used pharmacologic selection with nutlin-3a (7 days) to select p53 LOF populations within our cell line models. By nature, this approach did not permit us to treat non-p53-targeted cell lines with nutlin-3a. Other p53-independent effects could also occur with nutlin-3a as well; however, our resulting selected subclonal populations had confirmed high allelic frequency p53 alterations, suggesting that CRISPR-mediated LOF was the primary mechanism of nutlin-3a resistance. Despite these caveats, to our knowledge, this is the first report linking Dusp4 loss and p53 with Dbf4 overexpression in murine mammary tumors as a novel mechanism for oncogenesis in breast cancer.


The regulation of oncogenic signaling pathways is critical for preventing tumorigenesis. In this work, we created murine models with mammary-specific Dusp4 deletions to study the mechanisms of DUSP4-mediated transformation of mammary epithelial cells that drive breast oncogenesis. We discovered that Dusp4 deletions only drive oncogenesis when accompanied by other multigenic events, such as Trp53 loss and MYC amplification. The combined mutations amplify the centromeric region of chromosome 5q, which encodes Dbf4, a critical cell cycle gene that promotes cellular replication, to permit the cell cycle checkpoint escape of transformed cells.

Availability of data and materials

Any non-commercially available reagents or data from the studies are available upon reasonable request.


  1. Armes JE, Hammet F, de Silva M, Ciciulla J, Ramus SJ, Soo WK, Mahoney A, Yarovaya N, Henderson MA, Gish K, et al. Candidate tumor-suppressor genes on chromosome arm 8p in early-onset and high-grade breast cancers. Oncogene. 2004;23(33):5697–702.

    CAS  Article  Google Scholar 

  2. Baglia ML, Cai Q, Zheng Y, Wu J, Su Y, Ye F, Bao PP, Cai H, Zhao Z, Balko J, et al. Dual specificity phosphatase 4 gene expression in association with triple-negative breast cancer outcome. Breast Cancer Res Treat. 2014;148(1):211–20.

    CAS  Article  Google Scholar 

  3. Balko JM, Cook RS, Vaught DB, Kuba MG, Miller TW, Bhola NE, Sanders ME, Granja-Ingram NM, Smith JJ, Meszoely IM, et al. Profiling of residual breast cancers after neoadjuvant chemotherapy identifies DUSP4 deficiency as a mechanism of drug resistance. Nat Med. 2012;18(7):1052–9.

    CAS  Article  Google Scholar 

  4. Balko JM, Schwarz LJ, Bhola NE, Kurupi R, Owens P, Miller TW, Gomez H, Cook RS, Arteaga CL. Activation of MAPK pathways due to DUSP4 loss promotes cancer stem cell-like phenotypes in basal-like breast cancer. Cancer Res. 2013.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Britson JS, Barton F, Balko JM, Black EP. Deregulation of DUSP activity in EGFR-mutant lung cancer cell lines contributes to sustained ERK1/2 signaling. Biochem Biophys Res Commun. 2009;390(3):849–54.

    CAS  Article  Google Scholar 

  6. Venter DJ, Ramus SJ, Hammet FM, de Silva M, Hutchins AM, Petrovic V, Price G, Armes JE. Complex CGH alterations on chromosome arm 8p at candidate tumor suppressor gene loci in breast cancer cell lines. Cancer Genet Cytogenet. 2005;160(2):134–40.

    CAS  Article  Google Scholar 

  7. Waha A, Felsberg J, Hartmann W, von dem Knesebeck A, Mikeska T, Joos S, Wolter M, Koch A, Yan PS, Endl E, et al. Epigenetic downregulation of mitogen-activated protein kinase phosphatase MKP-2 relieves its growth suppressive activity in glioma cells. Cancer Res. 2010;70(4):1689–99.

    CAS  Article  Google Scholar 

  8. Schmid CA, Robinson MD, Scheifinger NA, Muller S, Cogliatti S, Tzankov A, Muller A. DUSP4 deficiency caused by promoter hypermethylation drives JNK signaling and tumor cell survival in diffuse large B cell lymphoma. J Exp Med. 2015;212(5):775–92.

    CAS  Article  Google Scholar 

  9. Jeffrey KL, Camps M, Rommel C, Mackay CR. Targeting dual-specificity phosphatases: manipulating MAP kinase signalling and immune responses. Nat Rev Drug Discov. 2007;6(5):391–403.

    CAS  Article  Google Scholar 

  10. Lawan A, Al-Harthi S, Cadalbert L, McCluskey AG, Shweash M, Grassia G, Grant A, Boyd M, Currie S, Plevin R. Deletion of the dual specific phosphatase-4 (DUSP-4) gene reveals an essential non-redundant role for MAP kinase phosphatase-2 (MKP-2) in proliferation and cell survival. J Biol Chem. 2011;286(15):12933–43.

    CAS  Article  Google Scholar 

  11. Chitale D, Gong Y, Taylor BS, Broderick S, Brennan C, Somwar R, Golas B, Wang L, Motoi N, Szoke J, et al. An integrated genomic analysis of lung cancer reveals loss of DUSP4 in EGFR-mutant tumors. Oncogene. 2009;28(31):2773–83.

    CAS  Article  Google Scholar 

  12. Berasi SP, Huard C, Li D, Shih HH, Sun Y, Zhong W, Paulsen JE, Brown EL, Gimeno RE, Martinez RV. Inhibition of gluconeogenesis through transcriptional activation of EGR1 and DUSP4 by AMP-activated kinase. J Biol Chem. 2006;281(37):27167–77.

    CAS  Article  Google Scholar 

  13. Mazumdar A, Poage GM, Shepherd J, Tsimelzon A, Hartman ZC, Den Hollander P, Hill J, Zhang Y, Chang J, Hilsenbeck SG, et al. Analysis of phosphatases in ER-negative breast cancers identifies DUSP4 as a critical regulator of growth and invasion. Breast Cancer Res Treat. 2016;158(3):441–54.

    CAS  Article  Google Scholar 

  14. Carlos AR, Escandell JM, Kotsantis P, Suwaki N, Bouwman P, Badie S, Folio C, Benitez J, Gomez-Lopez G, Pisano DG, et al. ARF triggers senescence in Brca2-deficient cells by altering the spectrum of p53 transcriptional targets. Nat Commun. 2013;4:2697.

    Article  Google Scholar 

  15. TCGA. Comprehensive molecular portraits of human breast tumours. Nature 2012; 490(7418):61–70.

  16. Al-Mutairi MS, Cadalbert LC, McGachy HA, Shweash M, Schroeder J, Kurnik M, Sloss CM, Bryant CE, Alexander J, Plevin R. MAP kinase phosphatase-2 plays a critical role in response to infection by Leishmania mexicana. PLoS Pathog. 2010;6(11):e1001192.

    Article  Google Scholar 

  17. Auger-Messier M, Accornero F, Goonasekera SA, Bueno OF, Lorenz JN, van Berlo JH, Willette RN, Molkentin JD. Unrestrained p38 MAPK activation in Dusp1/4 double-null mice induces cardiomyopathy. Circ Res. 2013;112(1):48–56.

    CAS  Article  Google Scholar 

  18. Malina A, Mills JR, Cencic R, Yan Y, Fraser J, Schippers LM, Paquet M, Dostie J, Pelletier J. Repurposing CRISPR/Cas9 for in situ functional assays. Genes Dev. 2013;27(23):2602–14.

    CAS  Article  Google Scholar 

  19. Robinson CJ, Sloss CM, Plevin R. Inactivation of JNK activity by mitogen-activated protein kinase phosphatase-2 in EAhy926 endothelial cells is dependent upon agonist-specific JNK translocation to the nucleus. Cell Signal. 2001;13(1):29–41.

    CAS  Article  Google Scholar 

  20. Balko JM, Jones BR, Coakley VL, Black EP. MEK and EGFR inhibition demonstrate synergistic activity in EGFR-dependent NSCLC. Cancer Biol Ther. 2009;8(6):522–30.

    CAS  Article  Google Scholar 

  21. Shen WH, Wang J, Wu J, Zhurkin VB, Yin Y. Mitogen-activated protein kinase phosphatase 2: a novel transcription target of p53 in apoptosis. Can Res. 2006;66(12):6033–9.

    CAS  Article  Google Scholar 

  22. Huang CY, Lin YC, Hsiao WY, Liao FH, Huang PY, Tan TH. DUSP4 deficiency enhances CD25 expression and CD4+ T-cell proliferation without impeding T-cell development. Eur J Immunol. 2012;42(2):476–88.

    CAS  Article  Google Scholar 

  23. Schade B, Rao T, Dourdin N, Lesurf R, Hallett M, Cardiff RD, Muller WJ. PTEN deficiency in a luminal ErbB-2 mouse model results in dramatic acceleration of mammary tumorigenesis and metastasis. J Biol Chem. 2009;284(28):19018–26.

    CAS  Article  Google Scholar 

  24. Horiuchi D, Kusdra L, Huskey NE, Chandriani S, Lenburg ME, Gonzalez-Angulo AM, Creasman KJ, Bazarov AV, Smyth JW, Davis SE, et al. MYC pathway activation in triple-negative breast cancer is synthetic lethal with CDK inhibition. J Exp Med. 2012;209(4):679–96.

    CAS  Article  Google Scholar 

  25. Zhou Y, Rideout WM 3rd, Bressel A, Yalavarthi S, Zi T, Potz D, Farlow S, Brodeur J, Monti A, Reddipalli S, et al. Spontaneous genomic alterations in a chimeric model of colorectal cancer enable metastasis and guide effective combinatorial therapy. PLoS ONE. 2014;9(8):e105886.

    Article  Google Scholar 

  26. Jones MJK, Gelot C, Munk S, Koren A, Kawasoe Y, George KA, Santos RE, Olsen JV, McCarroll SA, Frattini MG, et al. Human DDK rescues stalled forks and counteracts checkpoint inhibition at unfired origins to complete DNA replication. Mol Cell. 2021;81(3):426-441e428.

    CAS  Article  Google Scholar 

  27. Herschkowitz JI, Simin K, Weigman VJ, Mikaelian I, Usary J, Hu Z, Rasmussen KE, Jones LP, Assefnia S, Chandrasekharan S, et al. Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors. Genome Biol. 2007;8(5):R76.

    Article  Google Scholar 

  28. Dhillon AS, Hagan S, Rath O, Kolch W. MAP kinase signalling pathways in cancer. Oncogene. 2007;26(22):3279–90.

    CAS  Article  Google Scholar 

  29. Giltnane JM, Balko JM. Rationale for targeting the Ras/MAPK pathway in triple-negative breast cancer. Discov Med. 2014;17(95):275–83.

    PubMed  Google Scholar 

  30. Jiang W, McDonald D, Hope TJ, Hunter T. Mammalian Cdc7-Dbf4 protein kinase complex is essential for initiation of DNA replication. EMBO J. 1999;18(20):5703–13.

    CAS  Article  Google Scholar 

  31. Cheng AN, Fan CC, Lo YK, Kuo CL, Wang HC, Lien IH, Lin SY, Chen CH, Jiang SS, Chang IS, et al. Cdc7-Dbf4-mediated phosphorylation of HSP90-S164 stabilizes HSP90-HCLK2-MRN complex to enhance ATR/ATM signaling that overcomes replication stress in cancer. Sci Rep. 2017;7(1):17024.

    Article  Google Scholar 

  32. Bonte D, Lindvall C, Liu H, Dykema K, Furge K, Weinreich M. Cdc7-Dbf4 kinase overexpression in multiple cancers and tumor cell lines is correlated with p53 inactivation. Neoplasia. 2008;10(9):920–31.

    CAS  Article  Google Scholar 

  33. Redman-Rivera LN, Shaver TM, Jin H, Marshall CB, Schafer JM, Sheng Q, Hongo RA, Beckermann KE, Wheeler FC, Lehmann BD, et al. Acquisition of aneuploidy drives mutant p53-associated gain-of-function phenotypes. Nat Commun. 2021;12(1):5184.

    CAS  Article  Google Scholar 

Download references


We would like to thank the Vanderbilt High Throughput Screening Facility.


Funding for this work was provided by Susan G. Komen Career Catalyst Grant CCR14299052 (JMB), NIH/NCI R00CA181491 (JMB), NIH/NCI SPORE 2P50CA098131-17 (JMB), Department of Defense Era of Hope Award BC170037 (JMB), the Vanderbilt-Ingram Cancer Center Support Grant P30 CA68485, and NCI R50CA211206 (JMB).

Author information

Authors and Affiliations



AH, MJN, and JMB conceptualized and designed the research methodology. AH and JMB wrote the manuscript. SRO, RSC, and JMB edited the manuscript. AH, MJN, MVE, VS, SRO, ALT, and FMM generated experimental materials and data. AH, MJN, FMM, QS, and JMB analyzed the data. JMB, CLA, and MES oversaw portions of the experimental design and study conception. All authors read and approved the final version of the manuscript.

Corresponding author

Correspondence to Justin M. Balko.

Ethics declarations

Ethical approval and consent to participate

Not applicable; this work includes no primary patient studies.

Consent for publication

Not applicable.

Competing interests

JMB receives research support from Genentech/Roche, Bristol Myers Squibb, and Incyte Corporation, has received consulting/expert witness fees from Novartis, and is an inventor on provisional patents regarding immunotherapy targets and biomarkers in cancer.

CLA serves or has served in a scientific advisory role to Novartis, Lilly, Merck, TAIHO Oncology, Daichii Sankyo, AstraZeneca, OrigiMed, Immunomedics, Sanofi, Athenex, Arvinas and the Susan G. Komen Foundation. He has received grant support from Pfizer, Lilly, and Takeda. He holds minor stock options in Provista. None of these activities have any relationship to the research in this manuscript.

Additional information

Publisher's Note

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

Supplementary Information

Additional file 1.

Fig 1: Dusp4 hemi- or homozygous deletion does not accelerate MMTV-neu-mediated tumorigenesis or growth. A) Kaplan–Meier survival of FVB/n NIC mice with Dusp4WT (n=8), Dusp4FLOX/WT (n=11), or Dusp4FLOX (n=10) alleles. Time from birth to tumor endpoint (2cm3 total tumor burden), time from birth to first palpable tumor, and time from palpable tumor to tumor endpoint are shown. B) Dusp4 mRNA expression measured from bulk tumor RNA from mice in (A). C) Representative western blot analysis of bulk tumor lysates (n=4 per group) from tumors in (A). Fig 2: Co-occurrence of TP53 mutations, DUSP4 loss, and MYC amplification in primary breast cancer. A) TCGA (Firehose legacy) analysis of the co-occurrence of TP53 mutations, DUSP4 loss, and MYC amplification, accessed from the cBioPortal Web site. B) Schema for generation of a series of cell lines derived from Dusp4FLOX PMECs carrying deletion/excision of Dusp4, deleterious p53 mutations, and MYC overexpression/amplification. Fig 3: Characterization of the primary mammary epithelial cells generated from Dusp4FLOX cell line. Dusp4 functional loss of exons 3-4 (encoding the phosphatase in PMEC cells was confirmed by A) NGS and B) qRT-PCR analysis. C) Summary of all Trp53 mutations as assessed by NGS in cell lines derived from Dusp4FLOX PMECs. D) Validation of Trp53 deletion in PMEC cell lines by immunoblotting. Fig 4: Low-pass WGS copy number analysis example. Log2 reads from low-pass WGS organized by genomic location. Dusp4NULL Trp53Δex7 MYCAMP demonstrate a focal amplification event (red box) including the centromeric portion of 5q, likely including the centromere. Dusp4FLOX cells are included as a visual control. Fig 5: Elevated mRNA expression of key genes included on the 5q amplification associated with tumorigenic potential. A) UCSC Genome browser snapshot identifying key genes included in the 5q amplification event associated with tumorigenic potential. B) mRNA expression level for key genes from (A) measured by qRT-PCR in derivative PMEC cell lines. Tu: tumorigenic potential. Fig 6: Dusp4 deletion suppresses the cellular proliferation without impacting survival of PMEC cell lines. A) Time-course assessment of the proliferative capacity of Dusp4-derived PMEC cell lines by sulforhodamine B (SRB) assay. B) Dose–response assessment of survival in Dusp4-derived PMEC cell line treated with Palbociclib by SRB assay.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Hanna, A., Nixon, M.J., Estrada, M.V. et al. Combined Dusp4 and p53 loss with Dbf4 amplification drives tumorigenesis via cell cycle restriction and replication stress escape in breast cancer. Breast Cancer Res 24, 51 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Breast cancer
  • Oncogenesis
  • Dusp4
  • Replication stress
  • p53
  • Dbf4