OVOL1 inhibits breast cancer cell invasion by enhancing the degradation of TGF-β type I receptor

Fan, Chuannan; Wang, Qian; van der Zon, Gerard; Ren, Jiang; Agaser, Cedrick; Slieker, Roderick C.; Iyengar, Prasanna Vasudevan; Mei, Hailiang; ten Dijke, Peter

doi:10.1038/s41392-022-00944-w

OVOL1 inhibits breast cancer cell invasion by enhancing the degradation of TGF-β type I receptor

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Published: 29 April 2022

Volume 7, article number 126, (2022)
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Signal Transduction and Targeted Therapy

OVOL1 inhibits breast cancer cell invasion by enhancing the degradation of TGF-β type I receptor

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Chuannan Fan ORCID: orcid.org/0000-0001-8754-4913^1,2,
Qian Wang¹,
Gerard van der Zon^1,2,
Jiang Ren¹,
Cedrick Agaser³,
Roderick C. Slieker ORCID: orcid.org/0000-0003-0961-9152^1,4,
Prasanna Vasudevan Iyengar^1,2,
Hailiang Mei³ &
…
Peter ten Dijke^1,2

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Abstract

Ovo-like transcriptional repressor 1 (OVOL1) is a key mediator of epithelial lineage determination and mesenchymal–epithelial transition (MET). The cytokines transforming growth factor-β (TGF-β) and bone morphogenetic proteins (BMP) control the epithelial–mesenchymal plasticity (EMP) of cancer cells, but whether this occurs through interplay with OVOL1 is not known. Here, we show that OVOL1 is inversely correlated with the epithelial–mesenchymal transition (EMT) signature, and is an indicator of a favorable prognosis for breast cancer patients. OVOL1 suppresses EMT, migration, extravasation, and early metastatic events of breast cancer cells. Importantly, BMP strongly promotes the expression of OVOL1, which enhances BMP signaling in turn. This positive feedback loop is established through the inhibition of TGF-β receptor signaling by OVOL1. Mechanistically, OVOL1 interacts with and prevents the ubiquitination and degradation of SMAD family member 7 (SMAD7), which is a negative regulator of TGF-β type I receptor stability. Moreover, a small-molecule compound 6-formylindolo(3,2-b)carbazole (FICZ) was identified to activate OVOL1 expression and thereby antagonizing (at least in part) TGF-β-mediated EMT and migration in breast cancer cells. Our results uncover a novel mechanism by which OVOL1 attenuates TGF-β/SMAD signaling and maintains the epithelial identity of breast cancer cells.

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Introduction

Breast cancer is one of the most commonly diagnosed cancers among females worldwide.¹ Although recent developed therapies have improved the treatment of breast cancer, the survival rate decreases dramatically if patients develop distant metastases.² The epithelial–mesenchymal transition (EMT) process plays a critical role in the invasion–metastasis cascade.³ During this process, normal epithelial cells lose cell–cell conjunctions and acquire the fibroblast-like morphology, enhanced migratory and invasive properties.^4,5 In addition, mesenchymal cancer cells are less sensitive to chemotherapy.^6,7 At the molecular level, the classic epithelial marker E-cadherin (ECAD), which contributes to the cellular adhesion, is transcriptionally repressed by core EMT transcription factors including SNAIL, ZEB and TWIST family members.^8,9,10 Moreover, the expression of mesenchymal markers, such as fibronectin (FN), N-cadherin (NCAD), Vimentin (VIM), and α-SMA (ACTA2), is upregulated, leading to the cytoskeleton reconstruction and cell migration.³ Of note, during the highly dynamic EMT process, a large proportion of cells, which share both epithelial and mesenchymal characteristics, stay in an intermediate and reversible state. The acquisition of this hybrid state is described as epithelial–mesenchymal plasticity (EMP), which is also referred to as partial EMT.^11,12

The cytokine transforming growth factor-β (TGF-β) is one of the most crucial drivers to induce EMT.⁵ TGF-β initiates cellular responses by specific binding to cell surface TGF-β type II receptor (TβRII) and TGF-β type I receptor (TβRI). Upon TβRII-mediated phosphorylation of TβRI, the latter receptor is activated and induces the phosphorylation and activation of regulatory (R)-SMADs, i.e., SMAD2 and SMAD3. Phosphorylated R-SMADs, upon forming a complex with SMAD4, translocate into the nucleus to activate the expression of typical target genes, such as plasminogen activator inhibitor type 1 (PAI-1) and connective tissue growth factor (CTGF).^13,14,15 Notably, core EMT transcription factors like SNAIL, SLUG, and ZEB1/2 can be directly induced by the SMAD complex and contribute to TGF-β-mediated changes of aforementioned EMT markers and the reorganization of cytoskeleton such as filamentous (F)-actin.⁵

Bone morphogenetic proteins (BMPs), which are cytokines belonging to the TGF-β family, activate the signaling by inducing complex formation of BMP type II receptor (BMPRII) and BMP type I receptor (BMPRI). Afterward, BMPRI recruits and phosphorylates SMAD1/5/8, which translocate into the nucleus together with SMAD4 and promote the transcription of target genes such as inhibitor of DNA-binding 1 (ID1) and inhibitor of DNA-binding 3 (ID3).¹⁶ BMP signaling has been unveiled to maintain epithelial identity and attenuate the metastatic potential of breast cancer cells, which can be achieved by counteracting TGF-β signaling.¹⁷ Moreover, TGF-β is able to antagonize BMP signaling, indicating the imbalance between TGF-β and BMP may influence the EMT status and invasive abilities of cancer cells.^18,19,20

To finely control the propagation of TGF-β signaling, various negative feedback loops and multiple layers of regulation exist.²¹ One of these loops is accomplished by the transcriptional activation of inhibitory (I)-SMAD7. SMAD7 protein is primarily localized in the nucleus, where it interacts with the SMAD-specific E3 ubiquitin protein ligases (SMURFs).^22,23 In response to TGF-β, the SMAD7/SMURFs complex translocates into the cytoplasm and interacts with TβRI, leading to the proteasome-mediated degradation of TβRI.^22,23,24 Furthermore, SMAD7 itself is polyubiquitinated and degraded by several E3 ligases including ARKADIA and RNF12,^25,26 whereas some deubiquitylating enzymes (DUBs) including USP26 and OTUD1 are capable of removing the polyubiquitin chains off SMAD7.^27,28

Ovo-like (OVOL) proteins, among which OVOL1 and OVOL2 are better investigated than OVOL3, are pivotal determinants of epithelial lineage and differentiation during embryonic development.^29,30,31,32 Structurally, both OVOL1 and OVOL2 consist of an N-terminal SNAIL1/GFI (SNAG) domain, which acts as a molecular hook to recruit protein partners such as histone deacetylases (HDACs), and four zinc finger domains, which are responsible for the DNA-binding capacity.^32,33 Due to the structural similarity and identical DNA-binding sequence, OVOL1 and OVOL2 have been reported to function redundantly, e.g., in regulating epithelial plasticity and differentiation of epidermal progenitor cells.³⁰ In addition, OVOL1 can suppress the transcription of OVOL2 and itself.^33,34

In mesenchymal breast and prostate cancer cells, ectopic expression of OVOL1 or/and OVOL2 can induce mesenchymal–epithelial transition (MET), which is the reverse process of EMT, thereby suppressing cell migration.³⁵ Although OVOL2 has been uncovered to attenuate TGF-β-induced EMT in breast cancer cells,³⁶ the function of OVOL1 in the regulation of TGF-β/BMP signal transduction during breast cancer progression is ill-defined. Here, we identify OVOL1 as a potent downstream target of BMP/SMAD and lesser extent of TGF-β/SMAD signaling, whose activities are in turn regulated by OVOL1 in a positive and negative feedback manner, respectively. Furthermore, we elucidate the mechanism by which OVOL1 attenuates TGF-β signaling and breast cancer metastasis. Importantly, OVOL1 interacts with and stabilizes SMAD7. Moreover, 6-formylindolo(3,2-b)carbazole (FICZ) was identified as a compound to potently activate OVOL1 expression, which may offer therapeutic potential for breast cancer patients.

Results

OVOL1 is inversely correlated with EMT and is associated with favorable clinical outcomes in breast cancer patients

Since OVOL transcriptional repressors have been reported to potentiate MET in prostate and breast cancer cells,^35,36 we asked whether the expression of three OVOL genes was dysregulated during breast cancer progression. A dataset from 51 breast cancer cell lines revealed that OVOL1 mRNA levels were downregulated in cell lines classified into an aggressive basal subtype, compared with those cell lines grouped into a less aggressive luminal subtype (Supplementary Fig. 1a).³⁷ However, no difference of OVOL2 and OVOL3 expression between these two subgroups was observed (Supplementary Fig. 1a). This result hints that OVOL1, in comparison with the other two OVOL members, may play an unique role in breast cancer progression. Since it is pivotal for epithelial cells to acquire the EMP ability to initiate the invasion–metastasis cascade,⁴ we examined the possible association between OVOL1 expression and an established set of EMT genes in breast cancer patients.³⁸ Breast cancer patients with a higher EMT score were considered as more mesenchymal-like, while those with a lower EMT score were considered as more epithelial-like. Interestingly, a significant inverse correlation between OVOL1 mRNA expression and the EMT signature was observed in four breast cancer patient cohorts (Fig. 1a). Moreover, we found positive correlations between OVOL1 and epithelial markers (ECAD, EPCAM, and KRT18), and negative correlations between OVOL1 and mesenchymal markers (NCAD, VIM, and FN), in a breast cancer patient cohort and the aforementioned 51 cell line dataset (Supplementary Fig. 1b, c).^37,39 E-cadherin and OVOL1 were more prominently expressed, while the mesenchymal markers, including N-cadherin, Vimentin, SNAIL, and SLUG, were lower expressed in ten luminal cell lines than ten basal cell lines (Fig. 1b). In addition, OVOL1 mRNA and protein levels were determined in commonly used breast cell lines with either epithelial and/or mesenchymal features, including normal breast epithelial cells MCF10A-M1, premalignant breast cells MCF10A-M2 and luminal breast cancer cells MCF7, and highly invasive mesenchymal breast cancer cell lines MDA-MB-436 and MDA-MB-231. Both mesenchymal cell lines with low E-cadherin expression showed very low OVOL1 mRNA and protein expression (Supplementary Fig. 1d, e). In contrast, OVOL1 was expressed at high levels in epithelial cell lines, in which E-cadherin was also highly expressed (Supplementary Fig. 1d, e). Notably, survival analysis revealed that breast cancer patients with higher OVOL1 expression exhibited significantly increased relapse-free survival probabilities than those with lower OVOL1 expression (Fig. 1c).^40,41 Moreover, OVOL1 expression was lower in breast tumor samples than tumor-adjacent normal-like samples (Supplementary Fig. 2a).^39,42 Additional analysis suggested that OVOL1 expression was higher in ER-positive (ER+) samples than ER-negative (ER-) samples with poor outcomes (Supplementary Fig. 2b).^39,42 Subsequently, immunohistochemical staining results demonstrated that OVOL1 levels were reduced in invasive breast ductal carcinoma tissues compared with matched adjacent tissue samples, in 72.5 % (29 of 40) of the paired samples (Fig. 1d). Unpaired analysis also indicated that OVOL1 protein expression was decreased in carcinoma specimens (Fig. 1d). Of note, OVOL1 protein expression was substantially less in samples grouped into more advanced grades (Grade 2 and Grade 3) compared with a more benign grade (Grade 1; Fig. 1e). Taken together, our data suggest that OVOL1 expression is inversely correlated with EMT and is a potential indicator for a favorable prognosis in breast cancer patients.

OVOL1 inhibits EMT, migration, extravasation, and early-phase metastatic events in breast cancer cells

Given the inverse correlation between OVOL1 and EMP, we sought to examine the effect of OVOL1 depletion on EMT in breast cancer cells. Upon OVOL1 knockdown by two independent shRNAs in premalignant MCF10A-M2 breast cells, E-cadherin expression was significantly decreased, while the mesenchymal markers expression, such as fibronectin, N-cadherin, Vimentin and SLUG, was considerably increased (Fig. 2a and Supplementary Fig. 3a). In addition, gene set enrichment analysis (GSEA) demonstrated that OVOL1 depletion was positively correlated with the EMT gene set (Fig. 2b). Moreover, upon OVOL1 knockdown using a doxycycline (Dox)-controlled Tet-On system, epithelial HaCaT keratinocytes obtained mesenchymal-like features as analyzed based on filamentous (F)-actin staining (Supplementary Fig. 3b). The increased cell size upon OVOL1 knockdown was indeed to be expected from cells undergoing EMT. On the contrary, upon the induction of OVOL1 in MDA-MB-231 cells, in which OVOL1 expression was placed under the control of a Dox-induced Tet-On system, epithelial markers (ECAD, EPCAM, and KRT18) expression was enhanced, while mesenchymal markers (VIM and ACTA2) expression was reduced (Supplementary Fig. 3c). The western blotting analysis also showed that OVOL1 ectopic expression resulted in an increase of E-cadherin expression and a decrease of Vimentin expression in MDA-MB-231 cells (Supplementary Fig. 3d). Wound healing and chemotaxis (transwell migration) assays revealed that OVOL1 ectopic expression led to a decrease of MDA-MB-231 cell migration (Fig. 2c and Supplementary Fig. 3e). Yet, the viability of MDA-MB-231 cells was not affected by OVOL1 overexpression (Supplementary Fig. 3f). Next, mCherry labeled MDA-MB-231 or MCF10A-M2 cells with OVOL1 misexpression were subjected to a zebrafish embryo xenograft model.⁴³ Zebrafish fed with Dox that allowed for inducing OVOL1 ectopic expression demonstrated less extravasation of MDA-MB-231 cells into the avascular tail fin area (Fig. 2d). However, MCF10A-M2 cells formed less clusters between blood vessels when zebrafish were fed with Dox to induce OVOL1 knockdown in breast cells (Fig. 2e). Next, we tested the effect of doxycycline-inducible expression of OVOL1 in MDA-MB-231 cells on their metastasis ability after intracardial injection in nude mice. The first MDA-MB-231 cell metastasis was detected much later in the mice that were fed with Dox than without Dox treatment (Fig. 2f). In addition, overexpressing OVOL1 in MDA-MB-231 cells significantly reduced the early metastatic colonization of circulating MDA-MB-231 cells (Fig. 2f and Supplementary Fig. 3g). In conclusion, our results implicate that OVOL1 mitigates the EMT, migration, extravasation, and early-phase metastatic events in breast cancer cells.

OVOL1 and BMP pathway form a positive feedback loop

Considering the earlier finding that OVOL1 is expressed at very low to non-detectable levels in basal breast cancer cell lines (Fig. 1b), we speculated that the promoter of OVOL1 might be epigenetically silenced in these cells. Indeed, RT-qPCR assays showed that 5-Aza-2ʹ-Deoxycytidine (5-AZA), an agent for inducing DNA demethylation, was capable to upregulate OVOL1 expression in MDA-MB-231 cells (Fig. 3a). Given the finding that OVOL1 is a target gene of BMP and TGF-β pathways in SMAD4-restored MDA-MB-468 cells and keratinocytes,^44,45,46 we tested if OVOL1 can be induced by BMP and TGF-β in other breast cell lines. In MCF10A-M1 and MCF10A-M2 cells, a strong induction of OVOL1 expression by BMP6 was observed, whereas TGF-β-mediated induction of OVOL1 expression was weak (Fig. 3b and Supplementary Fig. 4a, b). In MDA-MB-231 cells, OVOL1 mRNA could only be moderately induced by TGF-β and BMP6, and a kinetic response upon ligand stimulation was observed (Supplementary Fig. 4c). In addition, treating cells with selective small-molecule kinase inhibitors of BMPR1 (LDN193189; LDN)⁴⁷ or TβR1 type I receptor (SB431542; SB)⁴⁸ efficaciously mitigated the upregulation of OVOL1 induced by BMP6 or TGF-β (Supplementary Fig. 4d, e). To further determine whether OVOL1 is a direct target gene of BMP/SMAD and TGF-β/SMAD pathways, we depleted SMAD4 that is essential for the transduction of both pathways.^49,50 BMP/TGF-β-induced OVOL1 expression was totally blocked in the absence of SMAD4 (Supplementary Fig. 4f, g). Taken together, our data suggest that OVOL1 is a target gene of both BMP and TGF-β signaling in breast cancer cells.

Due to the fact that a number of target genes of BMP and TGF-β, such as SMAD6 and SMAD7,^51,52 can function as modulators to precisely control the pathway transduction, we asked whether OVOL1 misexpression results in the dysregulation of BMP/SMAD or TGF-β/SMAD signaling. To this end, we performed RNA-seq-based transcriptional profiling in MCF10A-M2 cells with OVOL1 depletion (Supplementary Fig. 4h). Pathway enrichment analysis revealed that TGF-β/SMAD and BMP/SMAD pathways were enriched as top pathways modulated by OVOL1 knockdown (Fig. 3c). GSEA analysis confirmed that loss of OVOL1 was positively and negatively correlated with TGF-β and SMAD1/5 (BMP) gene response signatures, respectively (Fig. 3d). Yet, no TGF-β/SMAD or BMP/SMAD pathway enrichment in OVOL2 knockdown cells was revealed by GSEA analysis (Supplementary Fig. 4i, j). As indicated by a TGF-β/BMP/SMAD-driven SBE4-luc reporter,⁵³ TGF-β/SMAD signaling was less active, while BMP/SMAD signaling was potentiated, in OVOL1 overexpressing HeLa cells (Fig. 3e). Nevertheless, ectopic expression of OVOL2 to a comparable level as OVOL1 did not regulate the reporter activities as potently as OVOL1 did (Supplementary Fig. 4k, l). In agreement with this result, exposing MDA-MB-231 cells to OVOL1 overexpression significantly augmented the expression of BMP target genes ID1 and ID3 (Supplementary Fig. 4m). As TGF-β has been reported to antagonize BMP signaling,¹⁷ we presumed that the inhibitory effect of OVOL1 on TGF-β signaling might be a reason for the potentiation of BMP signaling. Consistent with this notion, the upregulation of BMP target genes upon OVOL1 ectopic expression was significantly alleviated when cells were pre-challenged with TGF-β (Fig. 3f). In contrast, blocking endogenous TGF-β signaling with a selective TβRI kinase inhibitor (SB431542; SB) rescued the reduction of BMP target genes expression imposed by the absence of OVOL1 (Fig. 3g). Collectively, these results indicate that OVOL1 is strongly induced by BMP and mildly induced by TGF-β. In turn, OVOL1 has the capacity to augment BMP/SMAD pathway, which is achieved (at least in part) by the inhibition, exerted by OVOL1, on TGF-β/SMAD signaling (Fig. 3h).

OVOL1 suppresses the TGF-β/SMAD signaling pathway and TGF-β-induced EMT

We progressed by investigating how OVOL1 mitigates TGF-β signaling transduction. The activity of TGF-β-induced SMAD3/4-driven CAGA-luc transcriptional reporter¹⁵ was inhibited in OVOL1 overexpressing HEK293T cells, and was potentiated in HepG2 and MCF7 cells with OVOL1 knockdown (Fig. 4a and Supplementary Fig. 5a). These results were further supported in MDA-MB-231 cells in which the expression of classic TGF-β target genes PAI-1 and CTGF was decreased upon OVOL1 overexpression (Fig. 4b). In line with this data, depletion of OVOL1 led to a striking upregulation of TGF-β target genes (Fig. 4c and Supplementary Fig. 5b). Analyses from a breast cancer patient and cell line databases also demonstrated that OVOL1 expression was inversely correlated with the TGF-β response signature (TBRS)⁵⁴ or the levels of TGF-β/SMAD target genes (Supplementary Fig. 5c–e). Moreover, TGF-β-induced SMAD2 phosphorylation, a read-out of TβRI activity, was suppressed in MDA-MB-231 cells with OVOL1 ectopic expression (Fig. 4d). As a control, TGF-β-induced p-SMAD2 remained unaffected by Dox in parental MDA-MB-231 cells (Mock; Fig. 4d). Similar results were observed in the A549 lung adenocarcinoma cells (Supplementary Fig. 6a). On the contrary, OVOL1 depletion enhanced TGF-β-induced SMAD2 phosphorylation in MCF10A-M2 cells (Fig. 4e). Moreover, TGF-β-triggered N-cadherin and Vimentin protein expression was further potentiated in OVOL1-deficient MCF10-M2 cells, whereas TGF-β-induced changes of EMT markers expression were mitigated in A549 cells upon ectopic expression of OVOL1 (Fig. 4f and Supplementary Fig. 6b). However, pre-treating MCF10A-M2 cells with SB431542 interrupted the upregulation of mesenchymal markers expression caused by the loss of OVOL1, suggesting that the induction of EMT by OVOL1 depletion relies on the potentiation of TGF-β signaling (Fig. 4g and Supplementary Fig. 6c). Finally, immunofluorescence staining of HaCaT cells showed that F-actin rearrangement triggered by the absence OVOL1 could be rescued by SB431542 treatment (Fig. 4h). In conclusion, our results demonstrate that OVOL1 is a negative regulator of the TGF-β/SMAD pathway and TGF-β-driven EMT.

OVOL1 promotes TβRI degradation by interacting with and stabilizing SMAD7

Our previous results showed that total SMAD2 levels were not changed by genetically manipulating OVOL1 expression (Fig. 4d, e). This suggested that OVOL1 may modulate TGF-β/SMAD signaling at the receptor level. To test this hypothesis, TβRI expression was evaluated upon OVOL1 misexpression. As shown in Fig. 5a, TβRI protein expression was strongly repressed in MDA-MB-231 cells overexpressing OVOL1, yet TΒRI mRNA expression remained the same, indicating that TβRI may be post-translationally inhibited by OVOL1. To investigate TβRI protein stability, a cycloheximide (CHX)-directed protein time-course experiment was carried out. As expected, TβRI showed a shortened half-life in MDA-MB-231 cells subjected to OVOL1 ectopic expression (Fig. 5b). In contrast, depletion of OVOL1 in MCF10A-M2 cells significantly enhanced TβRI stability (Supplementary Fig. 7a). Notably, treating cells with a proteasome inhibitor MG132, but not a lysosome inhibitor BafA1, was able to bypass the OVOL1-directed destabilization of TβRI, suggesting that OVOL1 enhances TβRI degradation via the proteasomal pathway (Fig. 5c). Consistently, the polyubiquitination of TβRI was increased in OVOL1 overexpressing HEK293T cells (Fig. 5d).

Since SMAD7 plays a vital role in the proteasome-mediated ubiquitination of TβRI and OVOL1 is a well-defined transcriptional repressor,³³ we considered whether SMAD7 is transcriptionally regulated by OVOL1. Surprisingly, OVOL1 promoted the mRNA expression of SMAD7 in MDA-MB-231 cells (Fig. 5e). As OVOL1 and SMAD7 were both localized in the nucleus (Supplementary Fig. 7b),^24,33 we processed by checking whether OVOL1 interacts with SMAD7 protein. Interestingly, OVOL1 was exclusively pulled down by SMAD7, indicating that SMAD7 is a potential binding partner of OVOL1 (Fig. 5f, g and Supplementary Fig. 7c). However, consistent with a previous report,³⁶ OVOL2 co-precipitated with SMAD2, SMAD3 and most avidly with SMAD4, and only weakly with SMAD7 (Supplementary Fig. 7d). Next, we asked whether the protein level of SMAD7 is affected due to the interaction with OVOL1. To exclude the impact of transcription, we ectopically expressed SMAD7 in HEK293T cells using an expression plasmid in which expression was driven by heterologous cytomegalovirus (CMV) promoter. Western blotting analysis revealed that the SMAD7 protein expression was enhanced upon OVOL1 ectopic expression, suggesting that OVOL1 may promote SMAD7 protein stability (Supplementary Fig. 7e). This assumption was further validated by a time-course assay demonstrating that the turn-over of SMAD7 protein was significantly mitigated in HEK293T cells overexpressing OVOL1 (Fig. 5h). Furthermore, SMAD7 polyubiquitination was greatly reduced in cells subjected to OVOL1 ectopic expression (Fig. 5i and Supplementary Fig. 7f). On the contrary, SMAD7 polyubiquitination was potentiated in the absence of OVOL1 (Fig. 5i). Given the fact that various ubiquitin chain topologies serve as signals to guide substrates towards different outcomes,⁵⁵ we then analyzed whether OVOL1 impacts the levels of K48 or K63‐incorporated ubiquitin chains on SMAD7. In particular, we identified that the K48 ubiquitin labeled SMAD7, which contributes to protein degradation, was decreased in the presence of OVOL1 overexpression (Supplementary Fig. 7g). However, the K63 ubiquitin level of SMAD7 was not affected by ectopically expressing OVOL1 (Supplementary Fig. 7g). Furthermore, we hypothesized that the interactions between SMAD7 and E3 ligases or DUBs may be altered by OVOL1. Co-immunoprecipitation experiments showed that although interactions between SMAD7 and the reported E3 ligases or DUBs for SMAD7, including ARKADIA, USP26, and OTUD1,^27,28,29 were not affected by OVOL1, the E3 ligase RNF12²⁶ and SMAD7 interaction was diminished upon the ectopic expression of OVOL1 (Supplementary Fig. 8a). As a consequence, SMAD7 polyubiquitination triggered by RNF12 was partially alleviated when OVOL1 was ectopically expressed (Supplementary Fig. 8b). These results reveal that RNF12 is involved in the decrease of SMAD7 polyubiquitination directed by OVOL1 (Supplementary Fig. 8c). Collectively, our data indicate that OVOL1 upregulates SMAD7 expression at both transcriptional and post-translational levels, which results in the polyubiquitination and degradation of TβRI (Fig. 5j).

Interaction with SMAD7 is required for the TGF-β signaling mitigation exerted by OVOL1

Next, we asked whether OVOL1 exerts its inhibitory effect on the TGF-β/SMAD pathway by regulating SMAD7. Consistent with this notion, OVOL1 and SMAD7 suppressed TGF-β/SMAD-driven CAGA-luc transcriptional activity in a synergistic manner (Supplementary Fig. 9a). Conversely, the inhibition of TGF-β/SMAD downstream activity and TβRI stability by OVOL1 overexpression was alleviated upon siRNA-mediated SMAD7 knockdown (Fig. 6a, b and Supplementary Fig. 9b). In addition, OVOL1-induced attenuation of MDA-MB-231 cell migration and extravasation was rescued upon the depletion of SMAD7 (Fig. 6c, d and Supplementary Fig. 9c). Collectively, the inhibitory effects of OVOL1 on TGF-β/SMAD signaling, cell migration, and extravasation are mediated (at least in part) by SMAD7.

To better uncover the mechanism by which OVOL1 interacts with SMAD7, a panel of truncated mutants of OVOL1 protein were generated (Fig. 6e). Co-immunoprecipitation assays showed that the SNAG domain and last two Zinc finger domains of OVOL1 contributed to its optimum interaction with SMAD7 (Fig. 6e). To further assess the functional involvement of SMAD7 in OVOL1-mediated inhibition of TGF-β pathway, MDA-MB-231 cells were exposed to lentivirus bearing constructs that encode full-length (FL) or truncated (T1–T3) OVOL1 proteins, respectively. Interestingly, none of the truncated OVOL1 proteins, whose interactions with SMAD7 were impaired, was capable of suppressing TGF-β-induced SMAD2 phosphorylation, SMAD3/4-driven CAGA-luc transcriptional activity and the induction of TGF-β target genes, as potent as the full-length OVOL1 did (Supplementary Fig. 9d–f). Moreover, the binding regions of OVOL1 on SMAD7 were mapped to further decipher their interaction. We observed that the Mad Homology-2 (MH2) domain-deficient SMAD7 failed to be co-immunoprecipitated together with OVOL1, implying that the MH2 domain of SMAD7 is enrolled in its interaction with OVOL1 (Fig. 6f).

FICZ induces OVOL1 expression and attenuates the TGF-β pathway, EMT, cell migration, and extravasation

Since OVOL1 was identified as a suppressor of TGF-β/SMAD signaling and breast cancer progression, we focused on restoring OVOL1 expression by candidate small-molecule compounds. FICZ was reported to promote OVOL1 expression in keratinocytes,⁵⁶ which prompted us to investigate if it is eligible to generate a similar effect in premalignant breast cells. It is noteworthy that FICZ substantially upregulated OVOL1 mRNA and protein levels in MCF10A-M2 cells (Fig. 7a, b). These results suggested that this drug may be employed to reactivate OVOL1 expression and thereby repressing TGF-β-induced signaling in premalignant cancer cells. Indeed, we observed that TGF-β-induced p-SMAD2, TβRI stability, and SMAD7 polyubiquitination were impinged when MCF10A-M2 cells were stimulated with FICZ (Fig. 7c–e and Supplementary Fig. 10a). However, OVOL1 depletion was able to partially compensate for these inhibitory effects exerted by FICZ, suggesting that OVOL1 may contribute to the suppressive role of FICZ in TGF-β signaling (Fig. 7c–e and Supplementary Fig. 10a). Follow-up experiments showed that FICZ-induced downregulation of mesenchymal markers and inhibition of cell migration and extravasation were mitigated, to some extent, by OVOL1 knockdown (Fig. 7f–h and Supplementary Fig. 10b–d). All these data suggest that restoration of OVOL1 expression by FICZ offers the prospect for therapeutic gain to mitigate overactive pro-oncogenic TGF-β signaling and breast cancer progression.

Discussion

Our study showed the inhibitory effects of OVOL1 on EMT, cell migration, extravasation, and the early metastatic colonization of breast cells in a mouse cancer xenograft model. We unraveled a novel mechanism by which OVOL1 attenuates TGF-β/SMAD signaling and maintains the epithelial identity of breast cancer cells (Fig. 3h). OVOL1 does so by interacting with and preventing the ubiquitination and degradation of inhibitory SMAD7 (Fig. 5j and Supplementary Fig. 8c). The increased TβRI levels mediate enhanced TGF-β/SMAD signaling and drive breast epithelial cells to transit into cells with more mesenchymal characteristics. In contrast, BMP/SMAD pathway and a small-molecule compound FICZ balance the cell plasticity toward a more epithelial-like status, by (at least in part) the induction of OVOL1 expression (Fig. 7i).

Despite a variety of evidence from experimental and mathematical modeling analyses characterize OVOL1 as an MET inducer in multiple cancers, the association between OVOL1 and EMP in breast cancer patient remains ill-defined.^{35,57,58,59,60} Through analyzing transcriptome datasets, a negative correlation between OVOL1 and EMT signature was uncovered in various patient cohorts (Fig. 1a). Significantly, we are the first to report that OVOL1 protein is lower expressed in breast invasive carcinoma and is inversely correlated with the progression of breast cancer towards aggressive grades, which demonstrates that the absence of OVOL1 expression may be expected to aid in detecting aggressive breast cancers (Fig. 1d, e).

The initiation of cancer metastasis involves in the augmented migratory and invasive capacities that are conferred by EMT on primary tumor cells.³ Upon extravasating into the parenchyma of distant organs, it seems that cancer cells undergo MET to support the outgrowth of micrometastases.^4,61 We have clearly shown that OVOL1 suppresses EMT, cell migration, in vivo extravasation using a zebrafish embryo xenograft model, and early-stage metastatic colonization using a mouse xenograft model (Fig. 2a–f). Of note, we found that ectopic expression of OVOL1 does not affect MDA-MB-231 cell proliferation/viability (Supplementary Fig. 3f). Yet, we cannot exclude the possibility that OVOL1-mediated MET may potentiate the outgrowth of micrometastases at the last step of cancer metastasis in vivo. Therefore, further investigation is required to comprehensively examine the role of OVOL1 in the invasion–metastasis cascade.⁴

One of the key molecular hallmarks of EMT is the absence of E-cadherin expression. In highly invasive breast cancer cells including MDA-MB-231, ECAD promoter is hypermethylated, resulting in the loss of E-cadherin expression.⁶² ECAD expression was shown to be dramatically enhanced in MDA-MB-231 cells ectopically expressing OVOL1, which is consistent with the data shown by Roca and colleagues,³⁵ indicating that OVOL1 may be engaged in regulating the methylation of ECAD promoter (Supplementary Fig. 3c, d). Thus it is worth to further investigate whether OVOL1 can work together with some demethylating enzymes to alleviate the methylation status of ECAD promoter. Moreover, the possibility that OVOL1 may antagonize the effects of particular methylating enzymes on ECAD promoter cannot be excluded.

OVOL2 promoter is hypermethylated in late-stage colorectal cancer patients.⁶³ We observed that 5-AZA dramatically upregulated OVOL1 mRNA expression in MDA-MB-231 cells (Fig. 3a). To determine whether this 5-AZA effect is direct or indirect, further evidence on the methylation status within the OVOL1 promoter is needed. It has been reported that OVOL1 functions downstream of WNT signaling in differentiating epidermal cells and hair follicles.⁶⁴ Here, we have identified OVOL1 as a target gene of BMP/SMAD and TGF-β/SMAD pathways (Fig. 3b). This result is in agreement with the previous report that OVOL1 expression can be induced by TGF-β in keratinocytes^45,46 or by TGF-β and BMP in MDA-MB-468 cells with SMAD4 restoration,⁴⁴ although no biological relevance was investigated in these studies. In this study, we found OVOL1 as a potentiator of BMP signaling, which is, at least partially, achieved by the attenuation of TGF-β signaling (Fig. 3f–h). Similarly, OVOL1 was reported to enhance osteoblast differentiation by activating BMP2 transcription.⁶⁵ In contrast, the transcription of a typical BMP target gene ID1 can be directly suppressed by OVOL1 during trophoblasts development.⁶⁶ These findings indicate that the mechanism by which OVOL1 modulates BMP signaling may be context-dependent.

Given the pivotal role in mediating the cross-talk between TGF-β pathway and many other signaling pathways, SMAD7 itself is under strict control by multiple mechanisms and layers of regulation.²⁴ As a target gene of the TGF-β/SMAD pathway and thereby mediating important negative feedback control, transcription of SMAD7 is activated by the SMAD complex together with co-regulators.²⁴ Our results indicate that OVOL1 is capable to promote SMAD7 expression at both transcriptional and post-translational levels (Fig. 5). Interestingly, although ectopic expression of OVOL1 in MDA-MB-231 cells significantly decreases the TGF-β downstream reporter activity and the expression of TGF-β target genes, i.e., PAI-1 and CTGF, the SMAD7 mRNA is strikingly increased (Fig. 5e). OVOL1 was initially identified as, and generally functions as, a transcriptional repressor by binding to the CCGTTA element within the promoter of target genes.³³ The transcriptional repressor SNAIL, which also contains the N-terminal SNAG domain as OVOL proteins do, was shown to function as a transcriptional activator by binding to specific enhancer regions.⁶⁷ Although the canonical binding element of OVOL1 cannot be found in the promoter region of SMAD7 (data not shown), we cannot exclude the possibility that, upon forming a complex with other protein partners such as transcriptional activators, OVOL1 may bind to and potentiate the activity of some enhancer regions, thereby enhancing the transcription of a particular panel of genes such as SMAD7. Moreover, it is also likely that OVOL1 regulates the transcription of SMAD7 in an indirect manner.

At the post-translational level, SMAD7 is targeted for polyubiquitination and degradation by E3 ligases such as ARKADIA and RNF12,^25,26 whose effects can be counteracted by DUBs like USP26 and OTUD1.^27,28 OVOL1 was observed to decrease K48 ubiquitin of SMAD7 and thereby enhancing SMAD7 protein stability (Fig. 5h–i and Supplementary Fig. 7f, g). We hypothesized that OVOL1 may act as a scaffold to bring DUBs to SMAD7 or impair interactions between E3 ligases and SMAD7. Mechanistically, we showed that RNF12 and SMAD7 interact, and that the resulting polyubiquitination of SMAD7, were attenuated by OVOL1 ectopic expression (Supplementary Fig. 8a–c). However, we cannot rule out the possibility that other proteins (DUBs or E3 ligases) may also participate in OVOL1-mediated deubiquitylation of SMAD7. To further investigate (other potential) underlying mechanisms, proteomic interactome analysis for OVOL1 can be performed to identify novel and relevant interacting E3 ligases or DUBs.

In a previous study, ectopic expression of OVOL2 was observed to inhibit TGF-β/SMAD signaling in NMuMG cells through directly interacting with SMAD4 and interfering in the complex formation between SMAD2/3 and SMAD4.³⁶ Results from our SMAD-driven transcriptional (SBE) reporter assays indicated that the induction of TGF-β/SMAD signaling and BMP/SMAD signaling are more potently affected upon the ectopic expression of OVOL1 than OVOL2 (Fig. 3e and Supplementary Fig. 4k, l). Moreover, RNA-seq-based profiling of transcriptional changes and GSEA upon OVOL2 knockdown demonstrated that TGF-β/SMAD and BMP/SMAD signaling pathways are not affected (Supplementary Fig. 4i, j). OVOL1 strongly interacts with SMAD7 but not with the other SMAD proteins. OVOL2, however, interacts with SMAD2, SMAD3, and most avidly with SMAD4, but only weakly interacts with SMAD7 (Supplementary Fig. 7d). These latter results indicate that despite the structural similarity, and in some cases functional redundancy,³² these two OVOL proteins contribute to the regulation of TGF-β/SMAD (and BMP/SMAD) signaling via diverse mechanisms.

TGF-β pathway is hyperactivated during breast cancer progression, making it an attractive therapeutic target.⁶⁸ We have validated the inhibitory role of OVOL1 on TGF-β pathway transduction and TGF-β-induced EMT (Fig. 4), suggesting that restoration of OVOL1 expression may be an option for targeting the pro-oncogenic TGF-β signaling in breast cancer.

We have identified FICZ as an activator to trigger OVOL1 expression and thereby suppressing TGF-β/SMAD signaling, EMT, migration and extravasation of breast cancer cells. These latter results may provide opportunities to mitigate breast cancer progression (Fig. 7). Although depletion of OVOL1 rescues, to some extent, the inhibitory effects of FICZ, other targets of FICZ may also contribute to its suppressive role in breast cancer progression. Along those lines, FICZ was reported to induce the expression of tumor-suppressing microRNAs miR-22, miR-515-5p, and miR-124-3p in MCF7 breast cancer cells.⁶⁹ Moreover, the mammosphere formation ability of MCF7 cells is inhibited by FICZ,⁷⁰ indicating FICZ may function as a suppressor for breast cancer cell malignancy. FICZ is an UV-derived tryptophan photoproduct whose inhibitory effects have been shown in inflammatory diseases such as chronic mite-induced dermatitis.⁷¹ It will be interesting to explore the potential of FICZ in the treatment of breast cancer in (pre)clinical models. We report here that FICZ inhibits breast cancer extravasation in zebrafish xenografts, a model from which we previously showed that the results can be validated in mouse xenograft cancer metastasis models.^17,72,73,74 Although adult mice with FICZ treatment in relatively high concentrations do not have pathological signs,^75,76 systematic toxicity studies in animal models are required to evaluate the clinical potential of FICZ. Moreover, OVOL1 agonists with higher specificity and in vivo safety can be explored to enable therapeutic gain for breast cancer patients.

Materials and methods

Cell culture and reagents

HEK293T, HeLa, HepG2, A549, MDA-MB-231, and MCF7 were purchased from American Type Culture Collection (ATCC) and SUM149PT cells were obtained from Dr. Sylvia Le Dévédec (Leiden Academic Center for Drug Research, Leiden, the Netherlands). All the cell lines were cultured in Dulbecco’s modified Eagle medium (DMEM; Thermo Fisher Scientific; Cat. No.: 41965062) supplemented with 10% fetal bovine serum (FBS; Thermo Fisher Scientific; Cat. No.: 16000044) and 100 U/ml penicillin/streptomycin (Thermo Fisher Scientific; Cat. No.: 15140163). MCF10A-Ras (MCF10A-M2) cells were derived from MCF10A cells transformed with Ha-Ras and were kindly provided by Dr. Fred Miller (Barbara Ann Karmanos Cancer Institute, Detroit, USA). MCF10A and MCF10A-M2 cells were maintained in DMEM/F12 (GlutaMAX™ Supplement; Thermo Fisher Scientific; Cat. No.: 31331028) containing 5% horse serum (Thermo Fisher Scientific; Cat. No.: 26050088), 0.1 μg/ml Cholera toxin (Sigma-Aldrich; Cat. No.: C8052), 0.02 μg/ml Epidermal Growth Factor (EGF; Sigma-Aldrich; Cat. No.: 01-107), 0.5 μg/ml Hydrocortisone (Sigma-Aldrich; Cat. No.: H0135), 10 μg/ml Insulin (Sigma-Aldrich; Cat. No.: I6634) and 100 U/ml penicillin/streptomycin. All the cell lines mentioned were maintained in a 5% CO₂, 37 °C, humidified incubator and tested negative for mycoplasma routinely. Human cell lines were checked for authenticity by short tandem repeats (STR) profiling. The 20 human breast cancer cell lines used for detecting OVOL1 (and epithelial and mesenchymal markers) expression were described previously.⁷⁷ Doxycycline (Dox; Sigma-Aldrich; Cat. No.: D9891) or 5-Aza-2ʹ-Deoxycytidine (5-AZA; Sigma-Aldrich; Cat. No.: 189826) was added to the culture medium at a final concentration of 100 ng/ml and 5 μM, respectively. 6-Formylindolo(3,2-b)carbazole (FICZ; Sigma-Aldrich; Cat. No.: SML1489) dissolved in DMSO were used at 5 μM. Lysosome inhibitor BafA1 (Sigma-Aldrich; Cat. No.: B1793) was used to treat cells at 20 nM final concentration. Selective small-molecule kinase inhibitors of BMPR1 (LDN193189; LDN)⁴⁷ and TβR1 type I receptor (SB431542; SB)⁴⁸ were used at a concentration of 120 nM and 5 μM, respectively. Recombinant BMP6 and TGF-β3 were a kind gift from Slobodan Vukicevic (University of Zagreb) and Andrew Hinck (University of Pittsburgh), respectively.

Generation of constructs

Human OVOL1 cDNA was amplified by PCR from MCF10A-M2 cells and subcloned into the lentiviral vector pLV-bc-CMV-puro. The inducible vector for OVOL1 ectopic expression was generated using Gateway cloning into the pLIX-403 vector (Addgene; Cat. No.: 41395). We used two shRNAs TRCN0000015679 (#1) and TRCN0000015681 (#2) from Sigma MISSION® shRNA library for OVOL1 knockdown. The sequences targeting OVOL1 AGTGTCACAACGACGTCAAGA (#1) and AGGATTTGATGGCTACCAAAT (#2) were cloned into the lentiviral FH1tUTG vector to generate lentiviral constructs for inducible OVOL1 knockdown.

Lentiviral transduction and transfections

Third-generation lentiviral packaging vectors (VSV, gag, and Rev) and cDNA or shRNA expressing constructs were transfected into HEK293T cells. Cell supernatants were collected at 48 h post transfection. To generate stable cell lines, cells were plated at 10% confluence and infected by lentiviral supernatants supplemented with the same volume of fresh medium and 8 ng/ml Polybrene (Sigma-Aldrich; Cat. No.: 107689) for 24 h. After 48 h of infection, cells were selected with Puromycine (1 μg/ml; Sigma-Aldrich; Cat. No.: P9620) for 3 days. For transfection of non-targeting siRNA (Dharmacon), siRNA SMARTpool targeting SMAD7 (Dharmacon; Cat. No.: L-020068-00-0005), OVOL1 (Dharmacon; Cat. Nr.: L-006543-01-0005) or OVOL2 (Dharmacon; Cat. No.: L-013793-02-0005), cells were seeded at 80% confluence and incubated with complex formed by DharmaFECT transfection reagents and siRNA (10 nM at final concentration). Medium was changed at 24 h post transfection. RNA samples were collected 2 days after transfection.

Real-time quantitative PCR (RT-qPCR)

RNA was extracted by a NucleoSpin RNA kit (Macherey Nagel; Cat. No.: 740955) according to the manufacturer’s instructions. Subsequently, reverse transcription was performed using a RevertAid RT Reverse Transcription Kit (Thermo Fisher Scientific; Cat. No.: K1691). Indicated genes were detected by specific primer pairs on the generated cDNA using the CFX Connect Real-Time PCR Detection System (Bio-Rad). GAPDH was used as a reference transcript. The results are expressed as mean ± SD, n = 3. 2^−ΔΔCt method was applied to analyze the relative expression. Primer sequences used in this study are listed in Supplementary Table 1.

Western blotting

Cells were lysed with RIPA buffer (150 mM sodium chloride, 1.0% Triton X-100, 0.5% sodium deoxycholate, 0.1% SDS and 50 mM Tris-HCl, pH 8.0) containing freshly added complete protease inhibitor cocktail (Roche; Cat. No.: 11836153001). Protein concentrations were measured by a DC™ protein assay kit (Bio-Rad; Cat. No.: 5000111) according to the manufacturer’s instructions. Equal amounts of proteins were loaded and separated by Sodium Dodecyl Sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Afterward, proteins were transferred onto a 0.45-μm polyvinylidene difluoride (PVDF) membrane (Merck Millipore; Cat. Nr.: IPVH00010). Subsequently, 5% non-fat dry milk dissolved in Tris-buffered saline (TBS) with 0.1% Tween 20 (TBST) was used to block the membrane for 1 h at room temperature (RT). Membranes were probed with the respective primary and secondary antibodies. Clarity™ Western ECL Substrate (Bio-Rad; Cat. No.: 1705060) and ChemiDoc Imaging System (Bio-Rad; Cat. No.: 17001402) were used to detect the signal. Primary antibodies used in this study are listed in Supplementary Table 2. Secondary antibodies used in this study are anti-IgG (Sigma-Aldrich; Cat. No.: NA931V) and anti-rabbit (Cell Signaling; Cat. No.: 7074 S). All results were derived from at least three independent biological replicates, and representative results are shown. Protein levels were quantified by densitometry using ImageJ (National Institutes of Health, USA).

Co-immunoprecipitation assays

HEK293T or MCF10A-M2 cells were lysed with TNE lysis buffer (50 mM Tris-HCl, pH 7.4, 1 mM EDTA, 150 mM NaCl, and 1% NP40) containing freshly added complete protease inhibitor cocktail and kept on ice for 15 min. The lysates were centrifuged at 1.4 × 10⁴×g for 10 min at 4 °C. Equal amounts of protein were incubated with anti-FLAG agarose beads (Sigma-Aldrich; Cat. No.: A2220) for 30 min at 4 °C with rotation. For checking the interaction between endogenous SMAD7 and OVOL1, 1 µL antibodies against SMAD7 (R&D; Cat. No.: MAB2029) were added to the cell lysates and the mixtures were kept overnight at 4 °C with rotation. The next day, 20 µL Pierce™ Protein G Agarose (Thermo Fisher; Cat. No.: 20397) were added and kept for 2 h at 4 °C with rotation. Beads were washed five times with the TNE buffer for 5 min at 4 °C with rotation. Afterward, samples were boiled with 2× sample buffer for 5 min and subjected to SDS-PAGE analysis. Primary antibodies used for western blotting are listed in Supplementary Table 2.

CAGA-luc or SBE-luc transcriptional reporter assays

HEK293T, HeLa, or HepG2 cells were seeded in the wells of a 24-well plate (Corning) at a density of 3 × 10⁵ and were transfected with 100 ng SMAD3/4-driven transcriptional CAGA-luc¹⁵ or BMP/TGF-β/SMAD-responsive SBE4-luc reporter,⁵³ 80 ng β-galactosidase encoding plasmids and 320 ng indicated constructs using polyethyleneimine (PEI). For co-transfection of siRNAs and plasmids, HEK293T were seeded in the wells of a 24-well plate (Corning) at a density of 3 × 10⁵ and transfected with 20 ng SMAD3/4-driven transcriptional CAGA-luc reporter, 50 ng β-galactosidase encoding plasmids, 430 ng expression construct encoding OVOL1 or empty vector control, and non-targeting siRNA or siRNA SMARTpool targeting SMAD7 (10 nM) using the DharmaFECT 1 transfection reagent (Horizon; Cat. No.: T-2001). At 16 h after transfection, cells were serum-starved for 8 h and then kept in the presence or absence of TGF-β3 (1 ng/ml) or BMP6 (10 ng/ml) overnight. Luciferase activity was measured using D-luciferin (Promega) as a substrate with a luminometer (PerkinElmer). The relative luciferase reporter activity was normalized to the β-galactosidase activity. All the experiments were repeated at least three times in biologically independent experiments, and representative results are shown.

MTS cell proliferation assays

MTS assay was carried out to evaluate the cell viability followed with the manufacturer’s instructions (Promega; Cat. No.: G3581). Cells were seeded at a density of 1 × 10³ cells in wells of 96-well plates (Corning). The absorbance of the samples was measured at 490 nm with a luminometer at 1, 2, 3, 4, and 5 days after seeding. Six biological replicates were included in each group.

Immunofluorescence staining

HeLa cells were transfected with constructs encoding TβRI-FLAG, OVOL1 or EGFP-SMAD7. Two days post transfection, 4% paraformaldehyde (PFA) was used for fixing cells on covering glass for 20 min at RT, after which cells were permeabilized by phosphate-buffered saline (PBS) supplemented with 0.1% Triton X for 10 min. Afterward, non-specific binding was blocked with 3% bovine serum albumin (BSA) dissolved in PBS for 1 h at RT. For staining of filamentous (F)-actin, cells were incubated with the Alexa Fluor 488 Phalloidin (Thermo Fisher Scientific; Cat. No.: A12379) in 1:500 dilution for 30 min at RT. To determine the localization of TβRI, OVOL1, and SMAD7, cells were incubated with primary antibodies in 1:100 dilution for 1 h at RT. After three times of washing with PBS, the specimens were probed with secondary antibodies (Invitrogen; Cat. No.: A21428 and A28175) in a dilution of 1:1000 for 1 h at RT. The specimens were then subjected to three washes with PBS and mounted with VECTASHIELD antifade mounting medium with DAPI (Vector Laboratories; Cat. No.: H-1200). The images were captured using a Leica SP8 confocal microscope (Leica Microsystems) and analyzed with the aid of LAS X software.

Ubiquitination assays

HEK293T cells transfected with indicated constructs or MDA-MB-231 + Tet-ON OVOL1 cells and MCF10A-M2 + Tet-ON shOVOL1 #1 cells stimulated with Dox for 2 days were treated 5 h prior to harvesting with 5 µM proteasome inhibitor MG132 (Sigma-Aldrich; Cat. No.: 474787). After washing with cold PBS twice containing 10 mM N-ethylmaleimide (NEM; Sigma-Aldrich; Cat. Nr.: E3876), cells were lysed in 1% SDS-RIPA buffer (25 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1% NP40, 0.5% sodium deoxycholate and 1% SDS) consisting of protease inhibitors and 10 mM NEM. Lysates were subsequently boiled for 5 min and diluted to 0.1% SDS at a final concentration in RIPA buffer. Then protein concentrations were measured and the same amount of proteins were incubated with anti-FLAG agarose beads for 30 min at 4 °C. For checking the ubiquitination of endogenous SMAD7, 1 µL antibodies against SMAD7 were added to cell lysates and the mixtures were kept overnight at 4 °C with rotation. The next day, 20 µL Pierce™ Protein G Agarose (Thermo Fisher; Cat. No.: 20397) was added and kept for 2 h at 4 °C with rotation. After five times of washing with RIPA buffer, beads were boiled in 2× loading buffer for 5 min and separated by SDS-PAGE. All the experiments were repeated at least three times in biologically independent experiments, and representative results are shown.

IncuCyte wound-healing migration assays

Cells were seeded at a density of 5 × 10⁴ in the wells of 96-well Essen ImageLock plate (Essen BioScience; Cat. No.: 4379). After 16 h, cells were serum-starved with DMEM medium supplemented with 0.5% FBS for 8 h. The scratch wounds were generated by the Wound Maker (Essen BioScience). Floating cells were discarded by washing with PBS and attached cells were incubated with DMEM medium supplemented with 0.5% FBS. Migration was monitored in the IncuCyte live-cell imaging system (Essen BioScience). Relative wound density was analyzed by the IncuCyte cell migration software. All the experiments were repeated at least three times in biologically independent experiments, and representative results are shown as mean ± SD.

IncuCyte chemotaxis cell migration assay

In brief, 40 μl MCF10A-M2 or SUM149PT cells suspended in medium supplemented with 0.5% serum were seeded at a density of 1 × 10³ in the inserts of an Incucyte clearview 96-well plate (Essen BioScience; Cat. No.: 4582). 20 μl medium supplemented with 0.5% serum-containing indicated compounds or corresponding vehicle controls was added into the inserts. Afterward, cells were allowed to settle at ambient temperature for 20 min. In parallel, 200 μl medium supplemented with 10% serum was added to the reservoir plates. Then the inserts containing cells were placed into a pre-filled plate. Cells on the top and bottom of inserts were imaged and analyzed using the IncuCyte system. The experiments were repeated two times, and representative results are shown as mean ± SD.

Statistical analyses

Statistical analysis was performed using Graphpad Prism 7 software. Results were expressed as the mean ± SD of triplicates. All measurements were taken from distinct samples. For analysis, unpaired Student’s t test was used and P < 0.05 was considered to be statistically significant. Paired Student’s t test was carried out for analyzing the statistical significance of matched tissue samples in Fig. 1d. Two-way analysis of variance (ANOVA) was applied for statistical analysis of real-time migration and chemotaxis assays. Pearsons’ coefficient tests were performed to assess statistical significance for correlations between the expression of two genes or gene signatures.

Data availability

The RNA-seq data presented in the study are deposited in the GEO repository, and the accession number in GEO is GSE192548.

References

Siegel, R. L. et al. Colorectal cancer statistics, 2017. CA Cancer J. Clin. 67, 177–193 (2017).
Article PubMed Google Scholar
Wang, R. et al. The clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer. BMC Cancer 19, 1091 (2019).
Article PubMed PubMed Central Google Scholar
Pastushenko, I. & Blanpain, C. EMT transition states during tumor progression and metastasis. Trends Cell Biol. 29, 212–226 (2019).
Article CAS PubMed Google Scholar
Dongre, A. & Weinberg, R. A. New insights into the mechanisms of epithelial-mesenchymal transition and implications for cancer. Nat. Rev. Mol. Cell Biol. 20, 69–84 (2019).
Article CAS PubMed Google Scholar
Hao, Y., Baker, D. & ten Dijke, P. TGF-β-mediated epithelial-mesenchymal transition and cancer metastasis. Int. J. Mol. Sci. 20, 2767 (2019).
Article CAS PubMed Central Google Scholar
Shibue, T. & Weinberg, R. A. EMT, CSCs, and drug resistance: the mechanistic link and clinical implications. Nat. Rev. Clin. Oncol. 14, 611–629 (2017).
Article PubMed PubMed Central Google Scholar
van Staalduinen, J., Baker, D., ten Dijke, P. & van Dam, H. Epithelial-mesenchymal-transition-inducing transcription factors: new targets for tackling chemoresistance in cancer? Oncogene 37, 6195–6211 (2018).
Article CAS PubMed Google Scholar
Bolos, V. et al. The transcription factor Slug represses E-cadherin expression and induces epithelial to mesenchymal transitions: a comparison with Snail and E47 repressors. J. Cell Sci. 116, 499–511 (2003).
Article CAS PubMed Google Scholar
Cano, A. et al. The transcription factor Snail controls epithelial-mesenchymal transitions by repressing E-cadherin expression. Nat. Cell Biol. 2, 76–83 (2000).
Article CAS PubMed Google Scholar
Comijn, J. et al. The two-handed E box binding zinc finger protein SIP1 downregulates E-cadherin and induces invasion. Mol. Cell 7, 1267–1278 (2001).
Article CAS PubMed Google Scholar
Sha, Y. et al. Intermediate cell states in epithelial-to-mesenchymal transition. Phys. Biol. 16, 021001 (2019).
Article CAS PubMed PubMed Central Google Scholar
Yang, J. et al. Guidelines and definitions for research on epithelial-mesenchymal transition. Nat. Rev. Mol. Cell Biol. 21, 341–352 (2020).
Article CAS PubMed PubMed Central Google Scholar
Batlle, E. & Massague, J. Transforming growth factor-β signaling in immunity and cancer. Immunity 50, 924–940 (2019).
Grotendorst, G. R., Okochi, H. & Hayashi, N. A novel transforming growth factor β response element controls the expression of the connective tissue growth factor gene. Cell Growth Differ. 7, 469–480 (1996).
Dennler, S. et al. Direct binding of Smad3 and Smad4 to critical TGFβ-inducible elements in the promoter of human plasminogen activator inhibitor-type 1 gene. EMBO J. 17, 3091–3100 (1998).
Gomez-Puerto, M. C., Iyengar, P. V., Garcia de Vinuesa, A., ten Dijke, P. & Sanchez-Duffhues, G. Bone morphogenetic protein receptor signal transduction in human disease. J. Pathol. 247, 9–20 (2019).
Article CAS PubMed Google Scholar
Ren, J. et al. Reactivation of BMP signaling by suboptimal concentrations of MEK inhibitor and FK506 reduces organ-specific breast cancer metastasis. Cancer Lett. 493, 41–54 (2020).
Article CAS PubMed Google Scholar
Candia, A. F. et al. Cellular interpretation of multiple TGF-β signals: intracellular antagonism between activin/BVg1 and BMP-2/4 signaling mediated by Smads. Development 124, 4467–4480 (1997).
Ehnert, S. et al. Transforming growth factor β1 inhibits bone morphogenic protein (BMP)-2 and BMP-7 signaling via upregulation of Ski-related novel protein N (SnoN): possible mechanism for the failure of BMP therapy? BMC Med 10, 101 (2012).
Gronroos, E. et al. Transforming growth factor β inhibits bone morphogenetic protein-induced transcription through novel phosphorylated Smad1/5-Smad3 complexes. Mol. Cell. Biol. 32, 2904–2916 (2012).
Yan, X., Xiong, X. & Chen, Y. G. Feedback regulation of TGF-β signaling. Acta Biochim. Biophys. Sin. (Shanghai) 50, 37–50 (2017).
Kavsak, P. et al. Smad7 binds to Smurf2 to form an E3 ubiquitin ligase that targets the TGFβ receptor for degradation. Mol. Cell 6, 1365–1375 (2000).
Ebisawa, T. et al. Smurf1 interacts with transforming growth factor-β type I receptor through Smad7 and induces receptor degradation. J. Biol. Chem. 276, 12477–12480 (2001).
van Capelle, C. D. C., Spit, M. & ten Dijke, P. Current perspectives on inhibitory SMAD7 in health and disease. Crit. Rev. Biochem. Mol. Biol. 55, 691–715 (2020).
Article CAS Google Scholar
Koinuma, D. et al. Arkadia amplifies TGF-β superfamily signalling through degradation of Smad7. EMBO J. 22, 6458–6470 (2003).
Zhang, L. et al. RNF12 controls embryonic stem cell fate and morphogenesis in zebrafish embryos by targeting Smad7 for degradation. Mol. Cell 46, 650–661 (2012).
Article CAS PubMed Google Scholar
Lui, S. K. L. et al. USP26 regulates TGF-β signaling by deubiquitinating and stabilizing SMAD7. EMBO Rep. 18, 797–808 (2017).
Zhang, Z. et al. Breast cancer metastasis suppressor OTUD1 deubiquitinates SMAD7. Nat. Commun. 8, 2116 (2017).
Article CAS PubMed PubMed Central Google Scholar
Watanabe, K. et al. Mammary morphogenesis and regeneration require the inhibition of EMT at terminal end buds by Ovol2 transcriptional repressor. Dev. Cell 29, 59–74 (2014).
Article CAS PubMed PubMed Central Google Scholar
Lee, B. et al. Transcriptional mechanisms link epithelial plasticity to adhesion and differentiation of epidermal progenitor cells. Dev. Cell 29, 47–58 (2014).
Article CAS PubMed PubMed Central Google Scholar
Li, B. A. et al. Ovol1 regulates melotic pachytene progression during spermatogenesis by repressing Id2 expression. Development 132, 1463–1473 (2005).
Article CAS PubMed Google Scholar
Saxena, K., Srikrishnan, S., Celia-Terrassa, T. & Jolly, M. K. OVOL1/2: drivers of epithelial differentiation in development, disease, and reprogramming. Cells Tissues Organs 15, 1–10 (2020).
CAS Google Scholar
Nair, M., Bilanchone, V., Ortt, K., Sinha, S. & Dai, X. Ovol1 represses its own transcription by competing with transcription activator c-Myb and by recruiting histone deacetylase activity. Nucleic Acids Res. 35, 1687–1697 (2007).
Article CAS PubMed PubMed Central Google Scholar
Teng, A., Nair, M., Wells, J., Segre, J. A. & Dai, X. Strain-dependent perinatal lethality of Ovol1-deficient mice and identification of Ovol2 as a downstream target of Ovol1 in skin epidermis. Biochim. Biophys. Acta 1772, 89–95 (2007).
Article CAS PubMed Google Scholar
Roca, H. et al. Transcription factors OVOL1 and OVOL2 induce the mesenchymal to epithelial transition in human cancer. PLoS ONE 8, e76773 (2013).
Article CAS PubMed PubMed Central Google Scholar
Wu, R. S. et al. OVOL2 antagonizes TGF-β signaling to regulate epithelial to mesenchymal transition during mammary tumor metastasis. Oncotarget 8, 39401–39416 (2017).
Article PubMed PubMed Central Google Scholar
Neve, R. M. et al. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10, 515–527 (2006).
Article CAS PubMed PubMed Central Google Scholar
Irshad, S. et al. Bone morphogenetic protein and Notch signalling crosstalk in poor-prognosis, mesenchymal-subtype colorectal cancer. J. Pathol. 242, 178–192 (2017).
Article CAS PubMed PubMed Central Google Scholar
Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature 490, 61–70 (2012).
Article CAS Google Scholar
Gyorffy, B. et al. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res. Treat. 123, 725–731 (2010).
Article CAS PubMed Google Scholar
Nagy, A., Munkacsy, G. & Gyorffy, B. Pancancer survival analysis of cancer hallmark genes. Sci. Rep. 11, 6047 (2021).
Article CAS PubMed PubMed Central Google Scholar
Xie, B. B. et al. MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine. Breast Cancer Res. Treat. 169, 625–632 (2018).
Article CAS PubMed Google Scholar
Ren, J., Liu, S., Cui, C. & ten Dijke, P. Invasive behavior of human breast cancer cells in embryonic zebrafish. J. Vis. Exp. 122, e55459 (2017).
Google Scholar
Kowanetz, M., Valcourt, U., Bergstrom, R., Heldin, C. H. & Moustakas, A. Id2 and Id3 define the potency of cell proliferation and differentiation responses to transforming growth factor β and bone morphogenetic protein. Mol. Cell Biol. 24, 4241–4254 (2004).
Gomis, R. R. et al. A FoxO-Smad synexpression group in human keratinocytes. Proc. Natl Acad. Sci. USA 103, 12747–12752 (2006).
Article CAS PubMed PubMed Central Google Scholar
Descargues, P. et al. IKK alpha is a critical coregulator of a Smad4-independent TGFβ-Smad2/3 signaling pathway that controls keratinocyte differentiation. Proc. Natl Acad. Sci. USA 105, 2487–2492 (2008).
Cuny, G. D. et al. Structure-activity relationship study of bone morphogenetic protein (BMP) signaling inhibitors. Bioorg. Med. Chem. Lett. 18, 4388–4392 (2008).
Article CAS PubMed PubMed Central Google Scholar
Laping, N. J. et al. Inhibition of transforming growth factor (TGF)-β1-induced extracellular matrix with a novel inhibitor of the TGF-β type I receptor kinase activity: SB-431542. Mol. Pharmacol. 62, 58–64 (2002).
Lagna, G., Hata, A., Hemmati-Brivanlou, A. & Massague, J. Partnership between DPC4 and SMAD proteins in TGF-β signalling pathways. Nature 383, 832–836 (1996).
Zhang, Y., Musci, T. & Derynck, R. The tumor suppressor Smad4 DPC 4 as a central mediator of Smad function. Curr. Biol. 7, 270–276 (1997).
Article PubMed Google Scholar
Takase, M. et al. Induction of Smad6 mRNA by bone morphogenetic proteins. Biochem. Biophys. Res. Commun. 244, 26–29 (1998).
Article CAS PubMed Google Scholar
Nakao, A. et al. Identification of Smad7, a TGFβ-inducible antagonist of TGF-β signalling. Nature 389, 631–635 (1997).
Jonk, L. J., Itoh, S., Heldin, C. H., ten Dijke, P. & Kruijer, W. Identification and functional characterization of a Smad binding element (SBE) in the JunB promoter that acts as a transforming growth factor-β, activin, and bone morphogenetic protein-inducible enhancer. J. Biol. Chem. 273, 21145–21152 (1998).
Padua, D. et al. TGFβ primes breast tumors for lung metastasis seeding through angiopoietin-like 4. Cell 133, 66–77 (2008).
Komander, D. & Rape, M. The ubiquitin code. Annu. Rev. Biochem. 81, 203–229 (2012).
Article CAS PubMed Google Scholar
Tsuji, G. et al. Aryl hydrocarbon receptor activation restores filaggrin expression via OVOL1 in atopic dermatitis. Cell Death Dis. 8, e2931 (2017).
Article CAS PubMed PubMed Central Google Scholar
Jia, D. et al. OVOL guides the epithelial-hybrid-mesenchymal transition. Oncotarget 6, 15436–15448 (2015).
Article PubMed PubMed Central Google Scholar
Jolly, M. K. et al. Stability of the hybrid epithelial/mesenchymal phenotype. Oncotarget 7, 27067–27084 (2016).
Article PubMed PubMed Central Google Scholar
Murata, M. et al. OVOL2-mediated ZEB1 downregulation may prevent promotion of actinic keratosis to cutaneous squamous cell carcinoma. J. Clin. Med. 9, 618 (2020).
Article CAS PubMed Central Google Scholar
Xu, C., Yan, T. & Yang, J. OVOL1 inhibits oral squamous cell carcinoma growth and metastasis by suppressing zinc finger E-box binding homeobox 1. Int. J. Clin. Exp. Pathol. 12, 2801–2808 (2019).
CAS PubMed PubMed Central Google Scholar
Pattabiraman, D. R. et al. Activation of PKA leads to mesenchymal-to-epithelial transition and loss of tumor-initiating ability. Science 351, aad3680 (2016).
Lombaerts, M. et al. E-cadherin transcriptional downregulation by promoter methylation but not mutation is related to epithelial-to-mesenchymal transition in breast cancer cell lines. Br. J. Cancer 94, 661–671 (2006).
Article CAS PubMed PubMed Central Google Scholar
Ye, G. D. et al. OVOL2, an inhibitor of WNT signaling, reduces invasive activities of human and mouse cancer cells and is down-regulated in human colorectal tumors. Gastroenterology 150, 659–671. e16 (2016).
Article CAS PubMed Google Scholar
Li, B. A. et al. The LEF1/beta-catenin complex activates movo1, a mouse homolog of Drosophila ovo required for epidermal appendage differentiation. Proc. Natl Acad. Sci. USA 99, 6064–6069 (2002).
Article CAS PubMed PubMed Central Google Scholar
Min, H. Y., Sung, Y. K., Kim, E. J. & Jang, W. G. OVO homologue-like 1 promotes osteoblast differentiation through BMP2 expression. J. Cell. Physiol. 234, 11842–11849 (2019).
Article CAS PubMed Google Scholar
Renaud, S. J. et al. OVO-like 1 regulates progenitor cell fate in human trophoblast development. Proc. Natl Acad. Sci. USA 112, E6175–E6184 (2015).
Article CAS PubMed PubMed Central Google Scholar
Rembold, M. et al. A conserved role for Snail as a potentiator of active transcription. Genes Dev. 28, 167–181 (2014).
Article CAS PubMed PubMed Central Google Scholar
Massague, J. TGFβ signalling in context. Nat. Rev. Mol. Cell Biol. 13, 616–630 (2012).
Article CAS PubMed PubMed Central Google Scholar
Mobini, K., Banakar, E., Tamaddon, G. & Mohammadi-Bardbori, A. 6-Formylindolo[3,2-b]carbazole (FICZ) Enhances The Expression of Tumor Suppressor miRNAs, miR-22, miR-515-5p, and miR-124-3p in MCF-7 Cells. Cell J. 22, 115–120 (2020).
PubMed Google Scholar
Saito, N. et al. The differential selectivity of aryl hydrocarbon receptor (AHR) agonists towards AHR-dependent suppression of mammosphere formation and gene transcription in human breast cancer cells. Biol. Pharm. Bull. 44, 571–578 (2021).
Article CAS PubMed Google Scholar
Kiyomatsu-Oda, M., Uchi, H., Morino-Koga, S. & Furue, M. Protective role of 6-formylindolo[3,2-b]carbazole (FICZ), an endogenous ligand for arylhydrocarbon receptor, in chronic mite-induced dermatitis. J. Dermatol. Sci. 90, 284–294 (2018).
Article CAS PubMed Google Scholar
Drabsch, Y., He, S., Zhang, L., Snaar-Jagalska, B. E. & ten Dijke, P. Transforming growth factor-β signalling controls human breast cancer metastasis in a zebrafish xenograft model. Breast Cancer Res. 15, R106 (2013).
Li, Y. et al. Genetic depletion and pharmacological targeting of alphav integrin in breast cancer cells impairs metastasis in zebrafish and mouse xenograft models. Breast Cancer Res. 17, 28 (2015).
Article CAS PubMed PubMed Central Google Scholar
Kooij, R. et al. Small-molecule activity-based probe for monitoring ubiquitin C-terminal hydrolase L1 (UCHL1) activity in live cells and zebrafish embryos. J. Am. Chem. Soc. 142, 16825–16841 (2020).
Article CAS PubMed PubMed Central Google Scholar
Schulz, V. J. et al. Non-dioxin-like AhR ligands in a mouse peanut allergy model. Toxicol. Sci. 128, 92–102 (2012).
Article CAS PubMed Google Scholar
Wheeler, J. L. H., Martin, K. C., Resseguie, E. & Lawrence, B. P. Differential consequences of two distinct AhR ligands on innate and adaptive immune responses to influenza A virus. Toxicol. Sci. 137, 324–334 (2014).
Article CAS PubMed Google Scholar
Liu, S. et al. Deubiquitinase activity profiling identifies UCHL1 as a candidate oncoprotein that promotes TGFβ-induced breast cancer metastasis. Clin. Cancer Res. 26, 1460–1473 (2020).

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Acknowledgements

We acknowledge the support of the Chinese Scholarship Council (CSC) to Chuannan Fan and Qian Wang, and the Cancer Genomics Centre in the Netherlands (CGC, NL) and the ZonMW grant (09120012010061) to Peter ten Dijke. We thank Maarten van Dinther and Martijn Rabelink for excellent technical assistance and Slobodan Vukicevic (University of Zagreb, Croatia), and Andrew Hinck (University of Pittsburgh, USA) for generously providing human recombinant BMP6 and TGF-β3, respectively. We acknowledge A.G. Jochemsen for providing the FH1tUTG vector. We are grateful to Midory Thorikay for help with testing effect of compounds on OVOL1 expression and checking the expression of OVOL1 in breast cancer cell lines, Jing Zhang for the help with GSEA, Sijia Liu for instructions on how to perform the zebrafish xenograft assay, and all other members in ten Dijke’s laboratory and Yuva Oz for their kind support.

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Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
Chuannan Fan, Qian Wang, Gerard van der Zon, Jiang Ren, Roderick C. Slieker, Prasanna Vasudevan Iyengar & Peter ten Dijke
Oncode Institute, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
Chuannan Fan, Gerard van der Zon, Prasanna Vasudevan Iyengar & Peter ten Dijke
Department of Biomedical Data Sciences, Sequencing Analysis Support Core, Leiden University Medical Center, Leiden, 2300 RC, The Netherlands
Cedrick Agaser & Hailiang Mei
Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, location VUmc, Amsterdam, 1081 HV, The Netherlands
Roderick C. Slieker

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Chuannan Fan
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Qian Wang
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Gerard van der Zon
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Jiang Ren
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Cedrick Agaser
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Roderick C. Slieker
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Prasanna Vasudevan Iyengar
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Hailiang Mei
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Peter ten Dijke
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Contributions

C.F. designed and performed the experiments, analyzed and interpreted the results, and created the Figures. Q.W. helped with molecular cloning and confocal microscopy analyses. G.v.d.Z. helped with testing the effects of FICZ on breast cancer cells and immunofluorescence staining. J.R. examined the effect of BMP on OVOL1 expression and provided support with zebrafish xenograft assays. C.A. and H.M. quantified the RNA-seq results and performed the pathway enrichment analysis. R.C.S. helped with the analysis of breast cancer patient data. P.V.I. and P.t.D. directed the research. C.F. and P.t.D. wrote the manuscript. P.t.D. supervised the project. All authors revised the content and approved the final manuscript.

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Correspondence to Peter ten Dijke.

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Fan, C., Wang, Q., van der Zon, G. et al. OVOL1 inhibits breast cancer cell invasion by enhancing the degradation of TGF-β type I receptor. Sig Transduct Target Ther 7, 126 (2022). https://doi.org/10.1038/s41392-022-00944-w

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Received: 20 May 2021
Revised: 16 February 2022
Accepted: 24 February 2022
Published: 29 April 2022
DOI: https://doi.org/10.1038/s41392-022-00944-w
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OVOL1 inhibits breast cancer cell invasion by enhancing the degradation of TGF-β type I receptor

Abstract

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Introduction

Results

OVOL1 is inversely correlated with EMT and is associated with favorable clinical outcomes in breast cancer patients

OVOL1 inhibits EMT, migration, extravasation, and early-phase metastatic events in breast cancer cells

OVOL1 and BMP pathway form a positive feedback loop

OVOL1 suppresses the TGF-β/SMAD signaling pathway and TGF-β-induced EMT

OVOL1 promotes TβRI degradation by interacting with and stabilizing SMAD7

Interaction with SMAD7 is required for the TGF-β signaling mitigation exerted by OVOL1

FICZ induces OVOL1 expression and attenuates the TGF-β pathway, EMT, cell migration, and extravasation

Discussion

Materials and methods

Cell culture and reagents

Generation of constructs

Lentiviral transduction and transfections

Real-time quantitative PCR (RT-qPCR)

Western blotting

Co-immunoprecipitation assays

CAGA-luc or SBE-luc transcriptional reporter assays

MTS cell proliferation assays

Immunofluorescence staining

Ubiquitination assays

IncuCyte wound-healing migration assays

IncuCyte chemotaxis cell migration assay

Statistical analyses

Data availability

References

Acknowledgements

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Authors and Affiliations

Contributions

Corresponding author

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Supplementary information

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