Abstract
Transforming growth factor β (TGFβ) proteins are multitasking cytokines, whose high levels at tumor sites generally correlate with poor prognosis in human cancer patients. Previously it was reported that TGFβ downregulates the expression of ataxia telangiectasia mutated (ATM) and mutS homolog 2 (MSH2) in breast cancer (BC) cells through a miRNA-mediated mechanism. In this study, expression of a panel of DNA repair genes was examined, identifying breast cancer 1, early onset (BRCA1) as a target downregulated by TGFβ through the miR-181 family. Correlations between the expression levels of TGFβ1 and the miR-181/BRCA1 axis were observed in primary breast tumor specimens. By downregulating BRCA1, ATM, and MSH2, TGFβ orchestrates DNA damage response (DDR) in certain BC cells to induce a ‘BRCAness’ phenotype, including impaired DNA repair efficiency and synthetic lethality to the inhibition of poly (ADP-ribose) polymerase (PARP). Xenograft tumors with active TGFβ signaling exhibited resistance to the DNA-damaging agent doxorubicin but increased sensitivity to the PARP inhibitor ABT-888. Combination of doxorubicin with ABT-888 significantly improved the treatment efficacy in TGFβ-active tumors. Thus, TGFβ can induce ‘BRCAness’ in certain BCs carrying wild-type BRCA genes and enhance the responsiveness to PARP inhibition, and the molecular mechanism behind this is characterized. Implications: These findings enable better selection of sporadic breast cancer patients for PARP interventions, which have exhibited beneficial effects in patients carrying BRCA mutations.
Keywords: Transforming growth factor β (TGFβ), breast cancer, DNA repair, poly (ADP-ribose) polymerase (PARP), breast cancer 1, early onset (BRCA1)
Introduction
Transforming growth factor β (TGFβ) proteins are multitasking cytokines involved in embryonic development, cell proliferation, motility and apoptosis, extracellular matrix production, and immunomodulation (1). In solid tumors, TGFβ can be produced by cancer and niche cells and acquires a cancer-promoting function. High TGFβ levels at tumor sites correlate with high histological grade, risk of metastasis, and poor prognosis in cancer patients (2). Previously we reported that a gene expression signature induced by TGFβ activation is associated with shorter patient survival in 295 primary BCs and is frequently found in tumors with a basal-like molecular profile (3). Those basal-like BCs are mostly sporadic but often share transcriptomic characteristics with tumors carrying BRCA1 germline mutations (4). They significantly overlap (80%) with triple-negative BCs (TNBCs; negative for hormone receptors and HER2), exhibit high expression of DNA repair proteins, and are associated with aggressive phenotype and poor patient outcomes (5-7). TGFβ is also implicated in resistance to chemotherapies for various cancers, including BCs (2). The mechanisms of TGFβ-mediated chemoresistance remain largely unknown. Those mechanisms appear to be diverse and depend on the cancer types, subtypes, stages, and the therapeutic regimens used during treatment (8-12), possibly as a result of the versatile and contextual properties of TGFβ signaling.
TGFβ can regulate gene transcription through the SMAD transcriptional factors that bind to promoters of target genes (13). More recently, TGFβ and SMADs have also been implicated in the regulation of microRNA (miRNA) biogenesis. MiRNAs are small regulatory RNAs that base-pair with the 3′ untranslated regions (UTRs) of protein-encoding mRNAs, resulting in mRNA destabilization and/or translational inhibition. Consistent with their extensive regulatory function, the biogenesis of miRNAs is tightly controlled, and dysregulation of miRNAs is linked to cancer (14, 15). Previous studies indicate that TGFβ/SMADs regulate miRNA biogenesis at both the transcriptional and post-transcriptional levels. One of the post-transcriptional regulatory mechanisms involves binding of TGFβ receptor-regulated SMADs to the stem region of primary miRNA transcripts (pri-miRNA) and to the Drosha/p68 miRNA-processing complex, possibly providing a platform to facilitate miRNA maturation (16, 17). From our previous studies, TGFβ induces levels of both miR-21 and miR-181 families in BC cells in a SMAD4-independent pattern via the interaction of SMAD2/3 with Drosha complex (18, 19).
We reported that MSH2, coding for a central component of the DNA mismatch repair (MMR) machinery, is downregulated by TGFβ in BC cells through miR-21 (18). An inverse correlation between TGFB1 and MSH2 expression is significant among primary BCs (18), suggesting the presence of this mechanism in vivo. MSH2 plays a key role in the recognition and repair of DNA replication errors, contributing to genomic integrity. In cancer cells, MSH2 identifies DNA adducts caused by many chemotherapeutic drugs and triggers further MMR-mediated signaling that results in cell cycle arrest and apoptosis (20, 21). In another report, we found that TGFβ downregulates ATM in BC cells by inducing the miR-181 family which targets the 3′UTR of ATM transcripts (19). Upon DNA damage, the ATM kinase phosphorylates key proteins in checkpoint control, such as P53, BRCA1, and CHEK2, resulting in cell cycle arrest, DNA repair, or apoptosis (22). Based on the previous work, we focused on the effect of TGFβ on the DNA damage response and further identified BRCA1 as a target downregulated by the TGFβ/miR-181 axis. Through this mechanism, TGFβ could sensitize TNBC cells to PARP inhibitors as demonstrated by our in vitro and in vivo models.
Materials and Methods
Cells, plasmids and viruses
All cell lines were obtained from American Type Culture Collection (Manassas, VA) and cultured in the recommended media in a humidified 5% CO2 incubator at 37°C. To generate MDA231-Alk5TD, -Alk5KR, and -vec, retroviruses encoding TβRI(Alk5)T204D, Alk5K232R (3), or the empty pBMN-I-GFP vector were produced by transfecting Ampho-Phoenix cells and then utilized for transduction, followed by green fluorescent protein (GFP) selection. The miR-181a/b and MSH2 expression plasmids were constructed and described elsewhere (18, 19). The BRCA1 expression construct was kindly provided by Dr. Jeffrey D. Parvin (Ohio State University). The ATM expression construct (23) was obtained from Addgene (Cambridge, MA). Plasmid constructions and additional reagents are described in Supplementary Material. Cell transfection, reporter assays, production of viruses, as well as infection and selection of transduced cells were carried out as previously described (19). Recombinant human TGFβ1 was purchased from R&D Systems (Minneapolis, MN). The type I/II TGFβ receptor inhibitor LY2109761 was provided by Eli Lilly and Company (Indianapolis, IN). ABT-888 was purchased from ChemieTek (Indianapolis, IN). 4-Amino-1,8-naphthalimide (ANI), doxorubicin, methyl methanesulfonate (MMS), and 6-thioguanine (6-TG) were purchased from Sigma (St. Louis, MO).
RNA extraction, RT-qPCR, and Western blot analysis
These procedures were performed as described previously (18, 19). Sequences of the primers can be found in Supplementary Material.
DNA repair reporter assays
MDA-MB-231 cells with stable expression of I-SceI/GFP-based double strand break repair reporters (DR-GFP and EJ5-GFP) (24) were generated by transfection and puromycin selection, and subsequently pretreated with TGFβ (5 ng/ml) for 20 h before transfected with the I-SceI expression vector or a GFP expression vector (as a control for transfection efficiency) using Lipofectamine 2000 (Life Technologies; Grand Island, NY). After 3 days of culture with continuous presence or absence of TGFβ, the percentage of GFP+ cells was determined by FACS analysis using a CyAn ADP analyzer (Beckman Coulter; Brea, CA). The percentage of GFP+ cells in I-SceI-transfected group was divided by the percentage of GFP+ cells in GFP-transfected group to obtain the frequency of the repair event marked by GFP+.
Immunofluorescence (IF) and comet assay (single cell gel electrophoresis)
IF was performed using a γ-H2AX antibody (EMD Millipore; Billerica, MA) and a Cyclin A antibody (Abcam; Cambridge, MA) as described previously (25). For comet assay, an OxiSelect comet assay kit (Cell Biolabs; San Diego, CA) was used under a neutral condition following the manufacturer's protocol. Fluorescent images were captured using a Princeton Instruments cooled CCD digital camera from a Zeiss upright LSM 510 2-Photon confocal microscope. Olive tail moment was calculated using the formula tail DNA% × tail moment length.
HPRT mutation frequency analysis
Selection of HPRT mutants was performed as described using cells that had been cleansed for pre-existing HPRT- mutants (26, 27). Details can be found in Supplementary Material.
MTT (thiazolyl blue tetrazolium bromide) cell viability assay and calculation of coefficient of drug interaction (CDI)
MTT assay was performed as described previously (18). CDI was calculated using the formula AB/(A×B), in which AB represents ratio of the cell viability in the combination group vs. that in the control group, whereas A and B represents ratio of the cell viability in the single agent group vs. that in the control group. A CDI=1 is defined as additive effect between agent A and B, CDI<1 synergistic effect, CDI<0.7 significantly synergistic effect, and CDI>1 antagonistic effect.
Xenograft tumor model
All animal experiments were approved by the institutional animal care and use committee at City of Hope. MDA231-vec or MDA231-Alk5TD cells (2 × 105) were injected into the No. 4 mammary fat pad of 6-week-old female NOD/SCID/IL2Rγ-null (NSG) mice. Doxorubicin (5 mg/kg) was administered weekly through intraperitoneal injection and ABT-888 (50 mg/kg) daily via oral gavage, both starting at day 10 after cancer cell implantation. After tumors became palpable, tumor volume (mm3) was assessed by caliper measurements using the formula (width2 × length)/2. At the end of the experiment, tumors were collected and dissociated tumor cells were subjected to 6-TG selection as described above and Western blot analysis.
In situ hybridization (ISH) and immunohistochemistry (IHC)
ISH was performed using miRCURY LNA™ microRNA ISH optimization kit (Exiqon; Woburn, MA). IHC staining was performed as previously reported (28). Details can be found in Supplementary Material.
Statistical analysis
For BC dataset inquiry, six pooled BC datasets of 947 primary tumors as well as an independent dataset of 295 primary BCs (29, 30) were analyzed by selecting 25% highest expressers and 25% lowest expressers of TGFB1 and comparing levels of the DNA repair genes between the two groups. Kendall's tau-b bivariate correlation analyses were used for the tissue array. Student's t tests were used for comparison of means of quantitative data between groups. The statistical analyses were performed using SPSS 16.0 software package. Values of p < 0.05 were considered significant. All quantitative data are presented as mean ± standard deviation (SD).
Results
TGFβ regulates the expression of DNA repair genes in BC cells
In this study, we focused on clinically aggressive, hard-to-treat TNBCs that often exhibit active TGFβ signaling (3) and high expression of DNA repair proteins (7). We further focused on TGFβ's regulation of the DNA repair pathways as our previous studies indicate that TGFβ downregulates MSH2 and ATM, two important DNA repair genes, although these studies did not address the consequent effects of TGFβ on DNA repair function (18, 19). Treatment of MDA-MB-231 cells, a TNBC cell line, with exogenous TGFβ resulted in >50% reduction of the RNA levels of MSH2, MSH6, MLH1, ATM, and BRCA1. These effects were completely abolished by LY2109761, a type I/II TGFβ receptor (TβRI/II) inhibitor (Fig. 1A). Expression of a constitutively active mutant cDNA of TβRI (Alk5T204D, abbreviated to Alk5TD hereafter) largely recapitulated the regulation of these genes by TGFβ (Fig. 1B). To test the role of receptor kinase activity, a kinase-dead TβRI cDNA (Alk5K232R, abbreviated to Alk5KR hereafter) was expressed in MDA-MB-231. In those cells producing Alk5KR, the expression levels of all the DNA repair or response genes were greater than the vector only cells (Fig. 1B). Similar results were observed in another TNBC line MDA-MB-468 when treated with TGFβ (Fig. 1C). At the protein level, only ATM, MSH2, and BRCA1 consistently exhibited significantly lower levels when treated with TGFβ ligand or expression of Alk5TD in both TNBC lines (Fig. 1D and data not shown). We therefore focused on ATM, MSH2, and BRCA1 in the subsequent studies for their potential role in mediating TGFβ's effects on DNA repair. We also tested two luminal BC lines BT474 and MCF7. Although TGFβ caused significant downregulation of BRCA1 and modest downregulation of MSH2 and ATM in BT474 cells, its effect on the DNA repair genes was negligible in MCF7 cells treated under the same experimental conditions (Fig. S1A-B).
Figure 1. TGFβ regulates the expression of DNA repair genes in BC cells.

(A) MDA-MB-231 (abbreviated to MDA231 in Figures) cells were treated with TGFβ (5 ng/ml) or/and LY2109761 (10 μM), a type I/II TGFβ receptor inhibitor. At 24 h, RNA was extracted and levels of the indicated genes were analyzed by quantitative RT-PCR. *p < 0.001 compared to the control (the first treatment group). **p < 0.001 compared to the TGFβ treatment group. (B) MDA231 cells stably expressing a constitutively active type I TGFβ receptor construct (Alk5 with the T204D mutation, abbreviated to Alk5TD), a kinase-dead type I TGFβ receptor construct (with the K232R mutation, abbreviated to Alk5KR), or the empty vector, were analyzed by quantitative RT-PCR. *p < 0.001 compared to the control (the first treatment group). (C) MDA-MB-468 (abbreviated to MDA468 in Figures) cells were treated with TGFβ or/and LY2109761 for 24 h and analyzed by quantitative RT-PCR. *p < 0.001 compared to the control (the first treatment group). **p < 0.001 compared to the TGFβ treatment group. (D) Cells were treated as indicated for 48 h and levels of indicated proteins were analyzed by Western blot. GAPDH was used as a loading control. (E) Six pooled BC datasets of 947 primary tumors (NKI947) (30) as well as an independent dataset of 295 primary BCs (NKI295) (29) were analyzed for the expression of TGFB1 and indicated DNA repair genes. The 25% highest expressers and 25% lowest expressers of TGFB1 were compared for the levels of BRCA1 and MSH2. Mean, SEM, n, and p values are shown in the tables. (F) A heat map showing levels of TGFB1, BRCA1, and MSH2 in the 25% highest expressers and 25% lowest expressers of TGFB1 in NKI295.
To obtain further evidence for TGFβ's regulation of these DNA repair genes, we analyzed six pooled BC datasets of 947 primary tumors (NKI947) as well as an independent dataset of 295 primary BCs (NKI295) (29, 30). In the analyses of either the pooled or independent datasets, in the BCs that were the 25% highest TGFB1 expressers, significantly lower levels of BRCA1 and MSH2 transcripts were present, compared to the BCs that were the 25% lowest TGFB1 expressers (Fig. 1E-F). The association between expression of TGFB1 and ATM, however, was not significant (data not shown). Nevertheless, the results showing inverse correlations of BRCA1 and MSH2 with TGFB1 levels are consistent with our in vitro data indicating that TGFβ1 downregulates these genes (Fig. 1A-D).
TGFβ induces a DNA repair deficiency in BC cells
To assess the effect of TGFβ signaling on DNA repair, we first used previously described double-strand break reporters for homology-directed repair (HDR) and end joining (EJ): DR-GFP and EJ5-GFP, respectively (24). The results indicated that pretreatment with TGFβ significantly reduced HDR in MDA-MB-231 cells without affecting the frequency of EJ (Fig. 2A). We then examined formation of γ-H2AX foci in MDA-MB-231 cells with or without pretreatment with TGFβ. Following ionizing radiation (IR), cells with both γ-H2AX foci and expression of Cyclin A, an S/G2-phase marker, were counted. TGFβ treatment significantly reduced γ-H2AX foci formation in Cyclin A+ cells upon DNA damage (Fig. 2B), consistent with its ability to downregulate ATM (Fig. 1A-D). We next performed comet assays to evaluate levels of DNA damage after treatment with the genotoxic chemotherapeutic agent doxorubicin. MDA-MB-231 cells expressing Alk5TD constantly carried higher levels of DNA damage compared to cells expressing Alk5KR or the control vector, as demonstrated by an increase in olive tail moment that was observed at 6 h after drug exposure and persisted at 24 h (Fig. 2C). Overexpression of ATM, MSH2, or BRCA1 cDNAs all partially reduced the DNA damage levels, with BRCA1 exhibiting the most significant effect (Fig. 2D). These results indicate that TGFβ induces a DNA repair deficiency in TNBC cells through downregulating DNA repair genes.
Figure 2. TGFβ induces a DNA repair deficiency in BC cells.

(A) MDA231 cells stably expressing reporters for HDR or EJ were pretreated with TGFβ (5 ng/ml) for 20 h before transfection with the I-SceI expression vector or a GFP expression vector, and cultured for 3 days with continuous presence or absence of TGFβ. Since repair of the I-SceI-induced break by HDR or EJ in the respective reporter restores GFP+, the percentage of GFP+ cells was then determined by FACS analysis. To obtain the repair frequency, the GFP percentage of the I-SceI-transfected group was divided by that of the GFP-transfected group to normalize to transfected cells. *p < 0.001. (B) MDA231 cells were pretreated with TGFβ or/and LY2109761 for 3 days and then treated by IR at 10 Gy. After 6 h cells were fixed and subjected to immunofluorescent staining using a γ-H2AX antibody and a Cyclin A antibody. Nuclei were stained by DAPI. Representative images were shown. Bar = 5 μm. For each treatment, 200 cells were counted and the percentage of cells with both Cyclin A expression and at least 5 γ-H2AX foci was shown. *p < 0.001. (C) MDA231 cells stably expressing Alk5TD, Alk5KR, or the empty vector and treated with doxorubicin (125 nM) were subjected to comet assay. Representative images at 0, 6, and 24 h after drug treatment were shown. Bar = 50 μm. At each time point, 200 cells were counted, and the calculated olive tail moment was shown. *p < 0.001. (D) Indicated cells expressing exogenous ATM, MSH2, BRCA1, or the empty vector (control) were analyzed by comet assay as in (C) after treatment with doxorubicin. *p < 0.001 compared to the control (the first treatment group).
TGFβ induces a genomic instability through regulating DNA repair
Because DNA repair function is tightly related to genomic stability, we further analyzed mutation frequencies at the HPRT (hypoxanthine phosphorybosyltransferase) gene in cells undergoing active TGFβ signaling as a means to assess the mutagenic potential of TGFβ-induced DNA repair deficiency. MDA-MB-231 cells treated with TGFβ or expressing Alk5TD cDNA but not Alk5KR exhibited significantly higher spontaneous mutation frequency than the control cells (Fig. 3A-B). Upon treatment with DNA-damaging agents MMS and doxorubicin, the drug-induced mutation frequencies were ∼3-8 fold higher when cells expressed Alk5TD cDNA (Fig. 3C). Again, overexpression of ATM, MSH2, or BRCA1 cDNA partially reduced the spontaneous and doxorubicin-induced mutation frequencies, with BRCA1 exhibiting the strongest effect (Fig. 3D). Thus, the downregulation of these DNA repair genes by TGFβ is associated with increased mutation frequency and genomic instability.
Figure 3. TGFβ induces a genomic instability through regulating DNA repair.

(A) Growing MDA231 cells that were passaged every two days at 1:4 were treated with TGFβ in the absence or presence of LY2109761 for a total of 8 days. Cells were then plated and selected in medium containing 6-TG. Calculated frequency of the spontaneous 6-TG-resistant mutants was shown. (B) Indicated cells were analyzed for spontaneous frequency of 6-TG-resistant mutants. (C) Indicated cells were treated with MMS (20 μM) for 40 min or doxorubicin (20 nM) for 24 h and then cultured in drug-free medium for a total of 8 days with every other day passaging at 1:4. Cells were then analyzed for drug-induced frequency of 6-TG-resistant mutants. (D) Indicated cells expressing exogenous ATM, MSH2, BRCA1 or the empty vector (control) were analyzed for spontaneous and doxorubicin-induced frequencies of 6-TG-resistant mutants as described above. *p < 0.001.
TGFβ-mediated downregulation of ATM, MSH2, and BRCA1 results in a synthetic lethality to PARP inhibition
Another consequence of TGFβ-mediated co-suppression of ATM, MSH2, and BRCA1 in TNBC cells can be a dependence of cancer cells on the base excision repair pathway. PARP has roles in the base excision repair pathway, and also participates in other cellular processes. BRCA or ATM deficiency induces cancer sensitivity to PARP inhibition (31-34). As a synthetic lethal approach, PARP inhibitors have shown promising effects for BRCA-mutated BCs as well as TNBCs (31, 35). To determine if TGFβ simulates a “BRCAness” phenotype by inducing sensitivity to PARP inhibition, we examined the BRCA-proficient MDA-MB-231 and MDA-MB-468 TNBC cells undergoing active or suppressed TGFβ signaling. Treatment with TGFβ or expression of Alk5TD induced the sensitivity to PARP inhibition by ANI or ABT-888. Inhibition of TGFβ signaling by LY2109761 resulted in reduced sensitivity to PARP inhibition, and completely abolished the effect of TGFβ (Fig. 4A). To dissect the role of ATM, MSH2, and BRCA1 in mediating this effect, specific siRNAs were used to knock down the expression of those genes either singularly or in combination (Fig. 4B). Among the single-gene knockdowns, knockdown of BRCA1 was most effective in inducing sensitivity to PARP inhibition to a level that was comparable to that induced by ATM and MSH2 double knockdown, whereas knockdown of all three genes conferred cells the highest sensitivity to ABT-888 (Fig. 4C). In contrast, overexpression of any single cDNA of ATM, MSH2, or BRCA1 in Alk5TD-expressing cells completely abolished the TGFβ-induced sensitivity to ABT-888 (Fig. 4D-E). Consistent with its ability to downregulate DNA repair genes, TGFβ was able to sensitize BT474 cells, but not MCF7 cells in which it fails to regulate DNA repair genes, to PARP inhibition by ABT-888 (Fig. S1C-D).
Figure 4. TGFβ-mediated downregulation of ATM, MSH2, and BRCA1 results in a synthetic lethality to PARP inhibition.

(A) Cells were pretreated with TGFβ or/and LY2109761 for 48 h, before ANI or ABT-888 was added to medium containing TGFβ or/and LY2109761. After 72 h, cell viability was analyzed by MTT assay and normalized to cells that did not receive ANI or ABT-888. (B) MDA231 cells transfected with indicated siRNAs were analyzed by Western blot at 96 h post transfection. (C) Cells transfected as indicated were treated with ABT-888. Cell viability was determined by MTT assay and normalized to cells that did not receive ABT-888. (D) MDA231-vec and MDA231-Alk5TD cells that stably overexpress ATM, MSH2, BRCA1, or the empty vector were analyzed by Western blot. (E) Indicated cells were treated with ABT-888 and cell viability was determined by MTT assay. *p < 0.001.
PARP inhibition overcomes TGFβ-mediated insensitivity to doxorubicin in vitro and in vivo
Previous results from our and other groups indicate that TGFβ induces a resistance to conventional chemotherapy drugs through various mechanisms and TGFβ inhibition enhances chemotherapy action in TNBCs (2, 8-12, 18). We therefore examined if PARP inhibition in TNBC cells undergoing active TGFβ signaling could overcome TGFβ-mediated chemoresistance and thus might enhance the efficacy of conventional chemotherapy in these tumors. Activation of TGFβ signaling by TGFβ treatment or expression of Alk5TD induced a significant resistance to doxorubicin in MDA-MB-231 cells (Fig. 5A-B). Addition of ABT-888 to doxorubicin treatment overcame the resistance to the latter in Alk5TD-expressing cells (Fig. 5C), and induced a significant synergy between the two drugs at all tested concentrations in MDA-MB-231 undergoing active TGFβ signaling (Fig. 5D).
Figure 5. PARP inhibition overcomes TGFβ-mediated insensitivity to doxorubicin in vitro and in vivo.

(A) MDA231 cells were pretreated with TGFβ or/and LY2109761 for 48 h before doxorubicin was added to the medium. After 72 h, cell viability was analyzed by MTT assay and normalized to cells that did not receive doxorubicin. (B) Indicated cells were treated with doxorubicin and cell viability was determined by MTT assay. (C) Indicated cells were treated with doxorubicin alone or in combination with ABT-888 (10 μM). Cell viability was determined by MTT assay. *p < 0.001. (D) MDA231-vec or MDA231-Alk5TD cells were treated with doxorubicin alone at the indicated concentrations or in combination with ABT-888 (10 μM). Cell viability was determined by MTT assay and coefficient of drug interaction (CDI) was calculated. A CDI=1 is defined as additive effect, CDI<1 synergistic effect, CDI<0.7 significantly synergistic effect, and CDI>1 antagonistic effect. (E) MDA231-vec or MDA231-Alk5TD cells were injected into the No. 4 mammary fat pad of female NSG mice. Mice were treated with PBS or ABT-888 as described in Materials and Methods. Tumor volume was determined in each group (n = 8). *p < 0.05. n.s.: non-significant (p > 0.05). (F) NSG mice that were injected with MDA231-vec or MDA231-Alk5TD cells into the No. 4 mammary fat pad were treated with PBS, doxorubicin alone, or doxorubicin in combination with ABT-888. Tumor volume was determined in each group (n = 6-8). *p < 0.05. n.s.: non-significant (p > 0.05). (G) Dissociated tumor cells from indicated mouse groups were analyzed for the frequency of 6-TG-resistant mutants. *p < 0.001. (H) Tumor lysates were analyzed by Western blot for levels of γ-H2AX. GAPDH was used as a loading control.
To further examine this TGFβ effect in vivo, we established orthotopic xenograft tumors in NSG immunocompromised mice by injecting MDA-MB-231 cells expressing Alk5TD or the control vector into the mammary fat pad. ABT-888 or PBS was administered daily starting at day 10 after cancer cell implantation. The Alk5TD-expressing tumors, but not the control tumors, responded to single-agent ABT-888 treatment, as demonstrated by significantly reduced tumor volumes (Fig. 5E). In another experiment, we compared the effect of doxorubicin single-agent treatment and the combination of doxorubicin and ABT-888 in the two types of xenograft tumors with or without TGFβ activation. The MDA-MB-231 control tumors exhibited a clear response to doxorubicin; addition of ABT-888 had no further effect on tumor growth. In contrast, the Alk5TD-expressing tumors did not show a significant reduction in tumor volume upon doxorubicin treatment, but exhibited a significant response to the combination of doxorubicin and ABT-888 (Fig. 5F).
We further determined the mutation frequency in dissociated tumor cells collected from PBS or doxorubicin treated mice and found that the Alk5TD-expressing tumors exhibited increased genomic instability as demonstrated by increased spontaneous and drug-induced mutation frequencies, compared to the control tumors without TGFβ activation (Fig. 5G). Levels of γ-H2AX were also lower in Alk5TD-expressing tumors receiving PBS or doxorubicin (Fig. 5H), suggesting impaired DNA repair function and/or reduced cell death in these tumors. Overall, the in vitro and in vivo data demonstrates that TNBC cells with active TGFβ signaling are more resistant to doxorubicin but more sensitive to PARP inhibition and suggests that single-agent treatment with ABT-888 or in combination with conventional chemotherapy would be effective against sporadic TNBCs exhibiting TGFβ activation.
TGFβ downregulates BRCA1 through miR-181
We previously reported the miRNA-mediated mechanisms for the downregulation of ATM and MSH2 by TGFβ (18, 19), however, the mechanism of TGFβ downregulation of BRCA1, which was the major mediator of many effects described above, remained unknown. In a search for the potential mechanisms regulating BRCA1 expression, we scanned the 3′UTR of BRCA1 and found a putative binding site for the miR-181 family (miR-181a/b/c/d sharing the same seed sequence), which we have previously reported to be unregulated by TGFβ at the post-transcriptional level in BC cells (19) (Fig. 6A). We then cloned the putative miR-181 binding region in the BRCA1 3′UTR, either in the wild type or with the miR-181-recognition sequence mutated, downstream to a Renilla luciferase reporter gene in the psiCHECK vector. MDA-MB-231 cells were transfected with the reporter constructs together with a miR-181a/b expressing plasmid or vector. The reporter construct carrying wild-type miR-181 binding site but not the mutated site exhibited significant inhibition by miR-181a/b (Fig. 6B). Consistently, overexpression of miR-181a/b that also targets ATM (19), but not miR-21 that targets MSH2 (18, 36), resulted in downregulation of BRCA1 protein levels in both MDA-MB-231 and MDA-MB-468 TNBC cells (Fig. 6C). To further confirm that miR-181 mediates TGFβ's effect on downregulating BRCA1 expression, MDA-MD-231 and MDA-MB-468 cells were transfected with anti-miRNAs before being treated with TGFβ. Inhibition of miR-181, but not miR-21, increased BRCA1 expression and abolished TGFβ's downregulation at the protein level (Fig. 6D&F). When cells transfected with anti-miRNAs were examined for their responsiveness to ABT-888, anti-miR-181 exhibited a greater effect on suppressing TGFβ-induced sensitivity comparing to anti-miR-21, whereas co-inhibition of miR-181 and miR-21 most effectively abolished TGFβ's effect (Fig. 6E&G). These results are consistent with the previous observations that all three TGFβ-targeted DNA repair genes, i.e., ATM, MSH2, and BRCA1, individually regulated by miR-181 (for ATM and BRCA1) and miR-21 (for MSH2), contribute to TGFβ-induced sensitivity to PARP inhibition (Fig. 4B-E).
Figure 6. TGFβ downregulates BRCA1 through miR-181.

(A) The predicted miR-181 targeting site in the 3′UTR of BRCA1 mRNA. Sequences of miR-181a and the mutated miR-181 targeting site included in the psiCHECK-BRCA1/181-mut construct are also shown. (B) The psiCHECK luciferase reporters containing the wild-type (wt) or mutated (mut) miR-181 targeting site in BRCA1 3′UTR were used to transfect MDA231 cells together with a miR-181a/b expressing plasmid or vector (control). (C) Cells transfected with the expression plasmids of miR-21 or miR-181a/b, the empty vector, or PBS were analyzed by Western blot. (D) MDA231 cells transfected with indicated anti-miRNAs were treated with TGFβ or vehicle for 48 h and analyzed by Western blot. (E) MDA231 cells transfected with anti-miRNAs and treated with TGFβ as indicated were treated with ABT-888 (10 μM). Cell viability was analyzed by MTT assay and normalized to cells that did not receive ABT-888. (F) MDA468 cells transfected with indicated anti-miRNAs were treated with TGFβ or vehicle for 48 h before analyzed by Western blot. (G) MDA468 cells treated as indicated were analyzed for cell viability. *p < 0.001 compared to the corresponding control group.
TGFβ is associated with miR-181 and BRCA1 levels as well as disease progression in primary TNBCs
To extend the herein identified mechanism to primary tumors, a tissue array including 48 cases of TNBCs was used to evaluate the levels of TGFβ1, miR-181, and BRCA1. Significant positive correlation was detected between TGFβ1 and miR-181 (Tau-b = 0.638, p < 0.001), whereas significant inverse correlations were detected between TGFβ1 and BRCA1 (Tau-b = -0.525, p < 0.001) and between miR-181 and BRCA1 (Tau-b = -0.477, p < 0.001). In addition, higher levels of TGFβ1 and miR-181 and lower levels of BRCA1 were also significantly associated with higher clinical grades and stages (Fig. 7A-D).
Figure 7. TGFβ is associated with miR-181 and BRCA1 levels as well as disease progression in primary TNBCs.

(A) Representative images of ISH and IHC staining in primary TNBCs. Bar = 100 μm. (B-D) Levels of TGFβ1, miR-181, and BRCA1 were determined by IHC or ISH in a TNBC tissue array (n = 48) and scored as described in Materials and Methods. Correlation analyses were carried out among their expression levels (B) and for each of them with clinical grades (C) or stages (D). Kendall's Tau-b coefficient, R square linear, and p values are shown. Clinical stages are scored as: 0= Stage 0, 1= Stage I, 2= Stage IIA, 3= Stage IIB, 4= Stage IIIA, 5= Stage IIIB, 6= Stage IV.
Discussion
As one of the first clinical applications of synthetic lethality-based cancer therapeutics, PARP inhibition selective for BRCA1/2 deficiency has shown promising effect for the treatment of patients with tumors bearing BRCA1/2 mutations (34, 37). As hereditary cancers with BRCA1/2 mutations only account for about 5-10% of BCs (38) and 15% of ovarian cancers overall (39), characterizing tumors with wild-type BRCA1/2 genes but also sensitive to PARP inhibitors is of great clinical interest. Recent studies suggest that PARP inhibitors are promising agents for the treatment of TNBCs, which share similar gene expression profiles and DNA repair deficiencies with BRCA1-associated BCs (35, 40). Cells that manifest several recently reported epigenetic silencing mechanisms of BRCA1/2 expression show enhanced sensitivity to PARP inhibition. These include hypermethylation of BRCA1 CpG island (41), miRNA-mediated downregulation of BRCA1 (42-44), and depletion of mitochondrial DNA leading to upregulation of miR-1245 and the ubiquitin ligase Skp2 that respectively suppress BRCA2 protein translation and stability (45). Interestingly, ovarian cancer patients carrying BRCA1/2 mutations have better overall survival than BRCA1/2 wild-type cases, whereas the survival for epigenetically silenced BRCA1 cases was similar to BRCA1/2 wild-type cases, suggesting that patient survival depends on the mechanism of BRCA gene inactivation (46). Genomic alterations of other genes that may affect the sensitivity of cancer cells to PARP inhibitors, including the homologous recombination genes ATM and CHEK2 whose mutations have been associated with risk of BCs (7, 47) and PTEN, have been reported in breast and ovarian cancers (46, 48). In addition, inhibition of cyclin-dependent kinase 1 (CDK1), a kinase that phosphorylates BRCA1 and is therefore necessary for BRCA1-mediated functions, has been reported to sensitize MDA-MB-231 cells to PARP inhibition (49). Interestingly, a recent study shows that PARP-1 interacts with multiple MMR proteins and may regulate or participate in MMR (50). On the other hand, MSH2 has been shown to promote HDR (51). It is therefore possible that reduced expression of MSH2 results in a partial dependence on PARP-1 for DNA repair, which may explain the slightly enhanced sensitivity to PARP inhibition in cells with MSH2 knockdown (Fig. 4C).
Here we show that TGFβ, a multitasking cytokine frequently elevated in tumor microenvironments, regulates DNA repair by simultaneously suppressing the expression of ATM, MSH2, and BRCA1. This results in a BRCAness phenotype, including impaired DNA repair efficiency and reduced genomic stability, as well as a synthetic lethality to PARP inhibition. Our in vitro and in vivo data demonstrate that PARP inhibitors, such as ABT-888 which is under clinical trials for BCs, may have a more potent effect on those TNBCs with active TGFβ signaling. This may allow selection of appropriate TNBC patients based on markers of TGFβ pathway (e.g., TGFβ and phosphorylated SMAD2/3) for PARP-targeting therapy. In addition, other factors that induce the level or activity of miR-181 and/or miR-21 may also affect the expression of the miRNA's target genes including ATM, MSH2, or BRCA1, and therefore may affect tumor response to PARP inhibitors. In fact, a recent study demonstrates that miR-181a/b levels inversely correlate with ATM in BCs and determine the sensitivity of TNBC cells to PARP1 inhibition (52). Those factors regulating miR-181 and miR-21 may therefore also have values as prognostic markers for PARP-targeted therapy in sporadic BCs. Although our focus for this study is on clinically aggressive, hard-to-treat TNBCs that often exhibit active TGFβ signaling, the pathways identified herein may have a general application to understanding cancer and defining treatments.
TGFβ has been implicated in chemoresistance through a variety of mechanisms (2, 8-12, 18). Relevant to the study herein, downregulation of MSH2 and ATM which serve as sensors of DNA damage upon genotoxic treatment may contribute to TGFβ-induced resistance to DNA-damaging agents such as doxorubicin (Figs. 5C & 5F). It is well documented that the inability of MMR-deficient cells to recognize chemotherapy-induced DNA damage results in a damage-tolerant phenotype and drug resistance (53). In colorectal cancer cells, MSH2 downregulation by miR-21 significantly reduces 5-fluorouracil (5-FU)-induced cell cycle arrest and apoptosis (36). ATM has a master role in triggering DNA repair upon double strand breaks, as evidenced by the hypersensitivity of cells from ataxia telangiectasia patients to ionizing radiation (54), but there is a discrepancy of ATM deletion/suppression on cancer response to DNA-damaging therapies. A recent study revealed a mechanism for the binary effect of loss of ATM on therapeutic response. In P53-deficient tumors, suppression of ATM sensitizes cells to DNA-damaging chemotherapy, whereas in the presence of functional P53, suppression of ATM or CHEK2 protects cells from genotoxic agents by blocking P53-dependent apoptosis (55). In addition, regulation of the DNA repair genes by TGFβ is dependent on the cellular context. In non-cancerous cells, we observe an opposite inductive effect of TGFβ on MSH2 expression as a result of SMAD-mediated, P53-dependent promoter activation, which is absent due to P53 deficiency or overcome by miR-21-mediated downregulation of MSH2 in cancer cells (18). TGFβ downregulates BRCA1, MSH2, and ATM and induces sensitivity to PARP inhibition in MDA-MB-231 and MDA-MB-468 TNBC cells and in BT474 luminal BC cells, but not in MCF7 luminal BC cells (Fig. S1). Therefore, the ultimate effects of TGFβ on different DNA repair pathways and, consequently, on cell response to different types of DNA damage are likely to be context-dependent. A comprehensive assessment of these contextual factors (e.g., P53 status) and the status of various DNA repair pathways, along with assessment of TGFβ signaling, will likely provide valuable prognostic information leading to individualized treatment of BCs.
Supplementary Material
Acknowledgments
This work was supported by National Institutes of Health Grants R01CA163586 & R01CA166020 (SEW), R01CA120954 (JMS), R01CA176611 (J. Termini/T.R. O'Connor), R01DE14183 & R01DE10742 (DKA), and P30CA033572, and by National Natural Science Foundation of China Grant 81171983 (HL) and 81201725 (YY). We thank both Dr. John J. Rossi (City of Hope) for kindly providing the pFU1 expression plasmid and Dr. Jeffrey D. Parvin (Ohio State University) for the BRCA1 expression plasmid. We also thank Drs. Binghui Shen, Susan Kane, and Shiuan Chen for valuable comments, as well as the City of Hope Core Facilities for highly professional services.
Financial Support: NIH R01CA163586 & R01CA166020 (SEW), R01CA120954 (JMS), R01CA176611 (J. Termini/T.R. O'Connor), R01DE14183 & R01DE10742 (DKA), and P30CA033572; National Natural Science Foundation of China 81171983 (HL), 81201725 (YY).
Footnotes
Conflict of Interest: The authors declare no conflict of interest.
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