Targeting endothelin 1 receptor-miR-200b/c-ZEB1 circuitry blunts metastatic progression in ovarian cancer

Sestito, Rosanna; Cianfrocca, Roberta; Tocci, Piera; Rosanò, Laura; Sacconi, Andrea; Blandino, Giovanni; Bagnato, Anna

doi:10.1038/s42003-020-01404-3

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Published: 13 November 2020

Targeting endothelin 1 receptor-miR-200b/c-ZEB1 circuitry blunts metastatic progression in ovarian cancer

Communications Biology volume 3, Article number: 677 (2020) Cite this article

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Abstract

Identification of regulatory mechanisms underlying the poor prognosis of ovarian cancer is necessary for diagnostic and therapeutic implications. Here we show that endothelin A receptor (ET_AR) and ZEB1 expression is upregulated in mesenchymal ovarian cancer and correlates with poor prognosis. Notably, the expression of ET_AR and ZEB1 negatively correlates with miR-200b/c. These miRNAs, besides targeting ZEB1, impair ET_AR expression through the 3’UTR binding. ZEB1, in turn, restores ET_AR levels by transcriptionally repressing miR-200b/c. Activation of ET_AR drives the expression of ZEB1 integrating the miR-200/ZEB1 double negative feedback loop. The ET_AR-miR-200b/c-ZEB1 circuit promotes epithelial-mesenchymal transition, cell plasticity, invasiveness and metastasis. Of therapeutic interest, ET_AR blockade with macitentan, a dual ET_AR and ET_BR antagonist, increases miR-200b/c and reduces ZEB1 expression with the concomitant inhibition of metastatic dissemination. Collectively, these findings highlight the reciprocal network that integrates ET_AR and ZEB1 axes with the miR-200b/c regulatory circuit to favour metastatic progression in ovarian cancer.

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Introduction

Ovarian carcinoma is the leading cause of death from gynecologic malignancies¹. The majority of histological types belong to high-grade serous ovarian carcinoma (HG-SOC), with relatively poor prognosis due to the advanced stage at diagnosis, widespread dissemination into the peritoneal cavity and recurrence². Moreover, the molecular heterogeneity of this disease renders difficult the classification and treatment. Gene expression analyses of HG-SOC patients classified this tumor in four transcriptionally different subtypes: immunoreactive, differentiated, proliferative, and mesenchymal subgroups^3,4. Among them, the mesenchymal subtype is associated with poor patient survival, remaining the major clinical challenge in ovarian cancer^4,5. Consequently, the identification of the molecular mechanisms underlying the poor prognosis of HG-SOC patients, especially the mesenchymal subtype, is of paramount importance in order to develop new strategies for the management of this disease.

The epithelial–mesenchymal transition (EMT) is a complex metastasis-related program tightly regulated by the interplay between signaling pathways, microRNA (miRNA), a well-characterized class of small regulatory RNAs, and EMT-transcription factors (EMT-TF)^6,7,8,9. Among these, zinc finger E-box binding homeobox 1 (ZEB1) may directly repress epithelial genes and positively regulate mesenchymal factors¹⁰. In ovarian cancer, high levels of ZEB1 correlate with loss of E-cadherin¹¹ and associate with advanced diseases, metastasis and poor prognosis of patients^12,13,14. Because of the crucial role of EMT in metastatic progression, the circuit regulating EMT has been studied, including the canonical miR-200/ZEB1 regulatory axis⁸. The miR-200 family, consisting of five members (miR-200a/b/c, miR-141, and miR-429), which form two functional clusters (miR-200a/-141 and miR-200b/c/-429) based upon their seed sequences, is able to downregulate ZEB1 through the direct binding of its mRNA¹⁵. Forced expression of miR-200 family members represses ZEB1 expression and inhibits the capacity of ovarian cancer cells to undergo migration and invasion, implicating ZEB1 as a miR-200 target^16,17. Moreover, the EMT-regulatory circuit requires a balanced expression of ZEB1 and miR-200, which are interlinked in a double negative feedback loop^18,19. In particular, while miR-200 family members cause post-transcriptional repression of ZEB1, the latter inhibits the promoter activity of these miR-200 transcription units^20,21,22. A deep understanding of the complexity of the underlying mechanism involved in miR-200 regulatory circuits is necessary to comprehend the dynamic functional relationship endowing cells, with a high degree of cell plasticity necessary for malignant progression. Therefore, the knowledge of the complex ZEB1/miRNA interplay, established by functional links with other signaling pathways^23,24, may provide mechanistic insight into the regulatory networks controlling ovarian cancer aggressiveness and metastatic progression.

It has been widely demonstrated that endothelin-1 (ET-1) axis, including the peptide ligand ET-1 and the two G-protein coupled receptors (ET_AR and ET_BR), is a potent inducer of EMT and metastatic progression^25,26. In particular, in ovarian cancer, where high ET_AR levels correlate with a poor prognosis, EMT and chemoresistance^27,28, the activation of the ET-1/ET_AR pathway controls EMT by regulating the EMT-TF Snail²⁷. We have previously underscored a critical miRNA, miR-30a, as a tumor suppressor in ovarian cancer able to target ET_AR and to regulate chemoresistance²⁹. In a search of the complex regulatory networks driving ovarian cancer metastatization, in this study we identify a miR-200b/c-dependent circuit established between ET_AR and ZEB1 that is regulated by ET-1 to induce invasive cell behavior fostering metastatic progression. Therefore, the interruption of this circuit can be exploited to develop efficient strategies for preventing metastasis and recurrence, leading to an improvement of the survival of ovarian cancer patients.

Results

The expression of ET_AR/ZEB1 is upregulated in ovarian cancers and correlates with poor prognosis

Having demonstrated that ET-1/ET_AR axis is a critical driver of EMT in ovarian cancer^26,27, we sought to investigate whether ET-1/ET_AR axis could be associated with the canonical EMT-TF ZEB1. The analysis of ET_AR and ZEB1 protein expression in a panel of ovarian cancer cells revealed their positive correlation (Fig. 1a, b). In particular, ET_AR and ZEB1 resulted overexpressed in mesenchymal cell lines (HEY, SKOV3), with higher expression of vimentin and N-cadherin mesenchymal markers, than epithelial cell lines (CAOV3, OVCA 433) (Fig. 1a). To confirm the association between ET_AR and ZEB1, we performed an analysis from The Cancer Genome Atlas (TCGA) database of 535 miRNA/mRNA matched high-grade serous ovarian cancer (HG-SOC) patients, which are subdivided in four subtypes (proliferative, mesenchymal, differentiated and immunoreactive) based on their specific gene expression profiles⁴. Importantly, higher mRNA levels of ET_AR and ZEB1 were observed in the mesenchymal subtype of patients compared to the other subgroups (p = 2.0441e−48 and p = 6.64e−40, respectively) (Fig. 1c). Moreover, the expression of ET_AR and ZEB1 was positively correlated in the mesenchymal subtype (n = 106, R Pearson = 0.42, p = 6.48e−06) as well as in the entire cohort of HG-SOC patients (n = 535, R Pearson = 0.54, p = 6.33e−42). To assess the prognostic relevance of the ET_AR and ZEB1 integration, TCGA cohort was dichotomized into patients expressing combined high versus low expression of these two genes. Importantly, the coexpression of EDNRA (ET_AR) and ZEB1 genes was associated with poor prognosis of HG-SOC patients, in terms of overall survival (OS; hazard ratio (HR) 1.36 [CI 95%: 1.03–1.78], p = 0.029) (Fig. 1d and Supplementary Fig. 1a) and progression-free survival (PFS; HR 1.52 [CI 95%: 1.16–1.99], p = 0.002) (Fig. 1e and Supplementary Fig. 1b). Altogether, these results highlight a potential interplay between ET_AR and ZEB1 in the control of clinical outcome of ovarian cancer.

ET_AR and ZEB1 are direct transcriptional targets of miR-200b/c

The key miRNA canonically involved in the EMT-regulatory circuits, such as members of the miR-200 family, are downregulated during EMT⁸. To identify potential miRNAs, which concomitantly target ET_AR and ZEB1, we examined the overlap between miRNA predicted by miRanda³⁰, TargetScan³¹, and miRmap³² bioinformatic tools. Interestingly, this analysis revealed that the 3′UTR of ET_AR and ZEB1 contained complementary matching regions for miR-200b/c and miR-429, belonging to the miR-200 family members, along with miR-200a and miR-141 (Supplementary Fig. 2a). As expected, all the analyzed mesenchymal-like cells expressed low levels of these miRNAs (Fig. 2b and Supplementary Fig. 2b). As predicted by bioinformatic analysis, we observed that miR-141 and miR-200a, that were able to target ZEB1, had no detectable effect on ET_AR protein expression (Supplementary Fig. 2c). To deepen further the analysis, we examined a 35-miRNA-based signature (MiROvaR), as a promising predictor model of risk of ovarian cancer relapse or progression³³. Among these 35 miRNAs, 16 miRNAs, whose downregulation associates with a worse prognosis of ovarian cancer patients³³, have been analyzed revealing that miR-200b/c and miR-429 could be putative regulatory miRNAs of both ET_AR and ZEB1, as depicted in the Venn diagram (Fig. 2a). In light of this clinical relevant analysis, we focused our study on miR-200b/c and profiled their expression in the panel of ovarian cancer cells. In agreement with the computational results, a negative association between miR-200b/c and ET_AR expression has been observed (Fig. 2b). Accordingly, a negative correlation between ET_AR/miR-200b and ET_AR/miR-200c coexpression has been found in the HG-SOC patients from TCGA (n = 535, R Pearson = -0.25, p = 5.99e−09 and n = 535, R Pearson = -0.2, p = 3.87e−06, respectively). To further demonstrate the inhibitory role of these miRNAs on ET_AR, we found that miR-200b/c ectopic expression, using specific mimic-miRNAs, significantly reduced ET_AR expression at both mRNA (Fig. 2c) and protein (Fig. 2d and Supplementary Fig. 2d) levels. Interestingly, also miR-429 was able to reduce both ZEB1 and ET_AR expression (Supplementary Figure 2c). To determine whether ET_AR is a direct target of miR-200b/c, we performed luciferase assays using the wild type ET_AR 3′UTR reporter plasmid and its mutated derivative on the miR-200b/c seed sequences (Supplementary Fig. 2e, f). Unlike for the mutated ET_AR 3′UTR reporter plasmid, ectopic miR-200b/c significantly reduced the ET_AR reporter activity thereby indicating the potential of the ET_AR 3′UTR to be targeted by miR-200b/c (Fig. 2e and Supplementary Fig. 2g). Moreover, miR-200b/c silencing, using specific miRNA inhibitors (anti-miR-200b/c), increased ET_AR expression, as well as cell viability (Fig. 2f, g). On the contrary, miR-200b/c overexpression decreased cell viability similarly to the effect elicited by the ET_AR silencing or by the pharmacological block with macitentan, a potent ET_AR antagonist with significant affinity for ET_BR²⁵ (Fig. 2g). Of note, in cells transfected with a plasmid encoding ET_AR lacking the 3′UTR, miR-200b/c lost their capability to reduce both ET_AR expression and cell proliferation compared to cells transfected with wt ET_AR (Fig. 2h, i), indicating a negative control of miR-200b/c over ET_AR expression.

**Fig. 2: ET_AR is a direct target of miR-200b/c.**

As miR-200 regulation is critical for the key EMT-TF ZEB1 expression, we next examined the underlying mechanism driving ZEB1 expression in ovarian cancer. A negative association between ZEB1/miR-200b and ZEB1/miR-200c expression has been observed in the analyzed cells (Fig. 3a), as well as in HG-SOC patients from TCGA dataset (n = 535, R Pearson = -0.28, p = 2.48e−11 and n = 535, R Pearson = -0.24, p = 2.44e−08, respectively). Ectopic miR-200b/c strongly reduced ZEB1 mRNA (Fig. 3b) and protein (Fig. 3c and Supplementary Fig. 2d) expression levels. In line with the evidence that miR-200 family members regulate ZEB1 at post-transcriptional level through the direct binding of the ZEB1 3′UTR²⁴, ectopic miR-200b/c, whose seed sequences are present in the ZEB1 3′UTR (Supplementary Fig. 2e), reduced the luciferase activity of a ZEB1 3′UTR reporter plasmid (Fig. 3d), while silencing of miR-200b/c enhanced the expression of ZEB1 (Fig. 3e). Collectively, these findings demonstrate that miR-200b/c are involved in the regulation of ET_AR and ZEB1 expression in ovarian cancer cells.

**Fig. 3: miR-200b/c downregulate ZEB1.**

ZEB1 regulates ET_AR expression through the suppression of miR-200b/c

Besides to the miR-200b/c-dependent regulation of ZEB1, it is known that ZEB1, in turn, is able to suppress the transcription of miR‐200 family members, establishing a reciprocal ZEB1/miR-200 feedback loop that functions as a molecular switch to control cell plasticity^{18,19,20,21,22,23}. Accordingly, an increase of both miR-200b/c levels was detected in ZEB1-silenced cells (Fig. 4a and Supplementary Fig. 3a). Because forced expression of miR-200 reduced ET_AR levels, we then evaluated whether ZEB1 could also affect ET_AR expression. ZEB1 depletion significantly decreased the expression of mRNA and protein levels of ET_AR (Fig. 4b and Supplementary Fig. 3b, c). Similarly, the abrogation of ZEB1 transcriptional activity, by using a Flag-tagged construct able to recognize and block the DNA binding domain of ZEB1 (DB-ZEB1-Flag)³⁴, upregulated miR-200b/c and, in parallel, reduced ET_AR expression (Supplementary Fig. 3d, e). These results suggest that ZEB1 could control ET_AR expression through the miR-200b/c inhibition. To validate this hypothesis, we analyzed the effect of ZEB1 manipulation on the ET_AR 3′UTR reporter activity. ZEB1 overexpression downregulated miR-200b/c and, in parallel, increased the ET_AR 3′UTR reporter activity (Fig. 4c, d). In line with these results, forced expression of miR-200b/c reduced the activity of the ET_AR reporter gene and abrogated the stimulatory effect of ZEB1 (Fig. 4c, d). Similar findings were obtained by the analysis of ET_AR protein expression (Fig. 4e). On the contrary, in ZEB1-depleted cells, whose levels of miR-200b/c were increased, we observed a reduction of the ET_AR 3′UTR reporter activity (Fig. 4f, g). In these cells, the silencing of miR-200b/c, by using anti-miR-200, enhanced the activity of the ET_AR 3′UTR reporter, that was not perturbed by the concomitant silencing of ZEB1 (Fig. 4f, g). Importantly, ZEB1 depletion was unable to decrease the activity of the ET_AR 3′UTR reporter lacking functional miR-200b/c binding sites (Fig. 4h), demonstrating that these miRNAs play a role in the ZEB1-mediated regulation of ET_AR. Altogether, these findings reveal ET_AR as an integrated component of the miR-200/ZEB1 reciprocal feedback loop (Fig. 4i).

**Fig. 4: ZEB1 regulates ET_AR expression through the repression of miR-200b/c.**

ET-1/ET_AR axis downregulates miR-200b/c via ZEB1

In light of the transcriptional regulator activity of ET-1 on mediators of EMT^26,27, we next evaluated whether ET-1/ET_AR axis could modulate the expression of ZEB1. ET-1 stimulation in mesenchymal cells upregulated ZEB1 expression at both mRNA (Supplementary Fig. 4a) and protein levels (Fig. 5a and Supplementary Fig. 4b, c), as well as ZEB1 promoter activity (Fig. 5b and Supplementary Fig. 4e), indicating that ET-1/ET_AR axis positively regulates ZEB1 expression at the transcriptional level. Consistently, either in cells treated with macitentan, or in ET_AR-silenced cells, ET-1 was unable to modulate the expression of ZEB1 or its promoter activity (Fig. 5a, b and Supplementary Fig. 4c, e). Similarly, treatment with the selective ET_AR antagonist zibotentan (ZD4054), but not with the selective ET_BR antagonist BQ788, inhibited the ET-1-driven induction of ZEB1 protein levels, clearly demonstrating the specific role of ET_AR in the regulation of ZEB1 expression (Supplementary Fig. 4d). Next, we examined whether the ET-1-mediated ZEB1 regulation could also impact on miR-200b/c expression. Importantly, in ovarian cancer cells stimulated with ET-1 a reduction of these miRNAs was observed (Fig. 5c and Supplementary Fig. 4f, g). ET_AR blockade by macitentan impaired the ET-1 ability to reduce miR-200b/c levels (Fig. 5c and Supplementary Fig. 4g). In the absence of ZEB1, the expression of miR-200b/c was increased in both ET-1-stimulated and unstimulated cells (Fig. 5c and Supplementary Fig. 4g). Accordingly, similar results were obtained by using the DB-ZEB1-Flag plasmid (Supplementary Fig. 4h, i), indicating that ET-1/ET_AR axis controls the expression of these miRNAs through the reciprocal relationship with ZEB1. The biogenesis of miRNAs is a multistep process that begins with the miRNA gene transcription by the RNA Polymerase II and the production of primary miRNA transcripts, named pri-miRNAs³⁵. Therefore, to evaluate whether ET-1 may regulate miR-200b/c transcription, we then analyzed their pri-miRNAs and, intriguingly, observed a significant reduction of both pri-miR-200b/c in ET-1-stimulated cells (Fig. 5d). This ET-1-induced effect was lost in cells treated with macitentan and in ZEB1-silenced cells (Fig. 5d), revealing a ZEB1-dependence on the ET-1-mediated pri-miR-200b/c regulation. To further assess the ET-1-mediated effect on miR-200b/c transcription, the reporter plasmids, containing sequences of the miR-200b²¹ and miR-200c²² promoters and including ZEB1 binding sites, were used (Fig. 5e). ET-1 significantly reduced the activity of both miR-200 promoters that was recovered by macitentan, as well as by ET_AR silencing (Fig. 5f and Supplementary Fig. 4j). Importantly, in ZEB1 silenced cells, miR-200b/c transcriptional activity increased and the addiction of ET-1 did not influence the promoter activity of these miRNAs (Fig. 5f and Supplementary Fig. 4j), indicating that ZEB1 is required to mediate ET-1-induced effects. We next sought to determine whether ET-1 might favor the physical interaction of ZEB1 with the miR-200 promoters. We performed chromatin immunoprecipitations (ChIP) on SKOV3 cells using antibodies against ZEB1 and IgG as a control for nonspecific binding. In cells stimulated with ET-1, we found a strong enrichment of ZEB1 on the miR-200b promoter, indicating the capability of ET-1 to mediate ZEB1 regulation on the transcriptional activity of miR-200b. As a further negative control for nonspecific enrichment, we assayed the immunoprecipitates for a region −1900 bp upstream the miR-200b TSS site (lacking ZEB1 binding sites). No enrichment was found at this control region, indicating the specific recruitment of ZEB1 on the promoter of the miR-200b locus (Supplementary Fig. 4k). Altogether, these findings demonstrate that activation of ET_AR by ET-1 decreases miR-200b/c levels by suppressing their transcription via ZEB1 in a complex and interdependent way.

The integrated ET_AR-miR-200b/c-ZEB1 circuit is involved in ET-1-mediated ovarian cancer aggressiveness

Next, we sought to investigate the aggressive features induced by the integrated ET-1/ET_AR and ZEB1/miR-200 axes. Since enhanced activity of matrix metalloproteases (MMPs) is a key feature of the ET-1-induced invasive phenotype of ovarian cancer cells³⁶, we performed gelatin zymography analyses to evaluate the ZEB1 capability to activate MMPs. In cells unstimulated and stimulated with ET-1, the silencing of ZEB1 reduced MMP-2/9 activation, likewise the treatment with macitentan. Interestingly, forced expression of miR-200b/c in cells inhibited the activation of MMP-2/9 in basal, as well as upon ET-1-stimulation (Fig. 6a).

**Fig. 6: The integrated circuit ET_AR-miR-200b/c-ZEB1 is involved in ET-1-dependent protease activation, EMT, cell plasticity, and invasion.**

In line with the above results, the ET-1-induced expression of mesenchymal markers, N-cadherin and vimentin, and reduced expression of E-cadherin were inhibited upon ZEB1 depletion, or ectopic expression of miR-200b/c, or following macitentan treatment, at mRNA and protein levels (Fig. 6b, c and Supplementary Fig. 5a). Similarly, miR-200b/c overexpressions, as well as ET-1R blockade, were also able to inhibit the ET-1-dependent ZEB1 upregulation (Fig. 6b, c and Supplementary Fig. 5a). Of note, the inhibitory effect of ET-1 on E-cadherin expression was paralleled by its effect on E-cadherin promoter activity that was curbed by macitentan, or either ET_AR or ZEB1 depletion and by overexpression of miR-200b/c (Fig. 6d). In parallel, ET-1/ET_AR axis downregulated miR-200b/c expression levels and this effect was hampered by ZEB1 or ET_AR silencing, or macitentan treatment (Supplementary Fig. 5b), indicating the cooperation with ET-1/ET_AR pathways and ZEB1/miR-200 axis in EMT-related effects. Next, to further understand the fine-tuning of ET-1 receptor blockade in the regulation of miR-200b/c/ZEB1 circuit, we combined macitentan with anti-miR-200b/c treatment, demonstrating that the effect of macitentan on ZEB1 and E-cadherin expression was still maintained in unstimulated and ET-1-stimulated cells (Supplementary Fig. 5c). Altogether, these findings argue for an integrated circuit between ET-1/ET_AR axis and ZEB1/miR-200 loop. Moreover, to assess the involvement of the ET_AR-miR-200b/c-ZEB1 circuit in the ET-1 capacity to regulate cell plasticity, we analyzed the ability of aggressive cells to form vascular-like structures in a process named vasculogenic mimicry³⁷. ET-1-stimulated cells were able to organize themselves into a network of vascular tubules with a significant increase of the number of nodes, and of the tube length compared to unstimulated cells (Fig. 6e and Supplementary Fig. 5d). Interestingly, the depletion of ZEB1 or ET_AR, as well as miR-200b/c overexpression significantly disrupted the formation of these structures, similarly to macitentan (Fig. 6e and Supplementary Fig. 5d), indicating an important role of the ET_AR-miR-200b/c-ZEB1 circuit in cell plasticity and matrix degradative enzyme activity induced by ET-1. In line with these results, a reduced cell invasion was observed when ZEB1 or ET_AR was depleted, and miR-200b/c were overexpressed, or upon macitentan treatment (Fig. 6f and Supplementary Fig. 5e), indicating an ET_AR-miR-200b/c-ZEB1 network involvement in the ET-1-driven tumor aggressiveness.

Macitentan impairs metastatic spread by interfering with the ET_AR-miR-200b/c-ZEB1 circuit

To evaluate the impact of the ET_AR-miR-200b/c-ZEB1 interplay on metastatic progression in vivo, we performed experiments using different ovarian cancer xenograft models. In particular, to analyze the effect of macitentan on the metastatic nodule formation, we intraperitoneally implanted in nude mice SKOV3 cells, or HG-SOC cells, OVCAR-3, that carry a hot spot missense TP53 mutation³⁸ and express ET_AR (Supplementary Fig. 6a). Moreover, because ZEB1 has been associated with chemoresistance in ovarian cancer^39,40, we analyzed the anti-metastatic effect of macitentan in cisplatinum sensitive (A2780) or resistant (A2780 CIS) xenografts that overexpressed ET_AR (Supplementary Fig. 6a). Macitentan inhibited the ET-1-induced expression of ZEB1 in OVCAR-3, A2780 cells, and even in A2780 CIS cells that, as expected, showed higher levels of ZEB1 (Supplementary Fig. 6b). Similarly, macitentan treatment hampered the ET-1 mediated reduction of miR-200b/c levels in these cells (Supplementary Fig. 6c). The ovarian cancer xenograft models treated with macitentan exhibited a reduced number of intraperitoneal nodules (Fig. 7a, b) associated with a well-tolerated toxicity profile (no weight loss in the treated mice). Of note, we observed a significant reduction of ZEB1 expression that was coupled with an inhibition of vimentin and an enhanced E-cadherin expression, at mRNA and protein levels, in the intraperitoneal metastatic nodules from macitentan-treated mice (Fig. 7c, d and Supplementary Fig. 6d). Notably, this effect was paired with the concomitant in vivo upregulation of miR-200b/c (Fig. 7e). Interestingly, ChIP assays on nuclear extracts from metastatic nodules of SKOV3 xenografts, revealed the recruitment of endogenous ZEB1 on miR-200b promoter. The treatment with macitentan impaired this recruitment in vivo, restraining the regulatory interaction of ZEB1 on the transcriptional activity of miR-200 (Fig. 7f). Altogether, these in vivo findings strengthen the existence of an ET_AR-miR-200b/c-ZEB1 regulatory circuit able to control metastasis formation that can be hampered by macitentan.

Discussion

Understanding of the dynamic properties of regulatory networks involved in the metastatic progression is crucial towards the improvement of the clinical outcome of ovarian cancer. The tumor aggressiveness is regulated by the complex changes in EMT-associated cell phenotypes, critically mediated by the EMT-TF as reflected by their association with poor clinical outcome in many tumors⁴¹. The many signaling cues that activate EMT-TF increase the complexity of the turning on of EMT program in tumor cells. In addition, EMT-TF are differentially regulated at the post-transcriptional level by miRNAs⁸. A prominent example of a mechanism that favors tumor aggressiveness is the reciprocal relationship between ZEB1 and miR-200 family members^18,19,20.

In an attempt to elucidate the mechanisms controlling ovarian cancer progression, in the present study we have identified ET-1/ET_AR signaling in the regulation of the ZEB1/miR-200 circuit. Of clinical relevance, in HG-SOC patients, which accounts for 70–80% of ovarian cancer deaths, an ET_AR/ZEB1 signature is associated with poor prognosis, highlighting the worse outcomes generated by the integration between ET_AR and ZEB1 transcriptional machinery for these patients still suffering from limited treatment option. Following this discovery, we investigated the relationship between the ET_AR/ZEB1 axis and miRNA, identifying miR-200b/c as regulators of both ET_AR and ZEB1. How the miR-200 family members regulate ovarian cancer progression is not completely understood. Thus, studies of clinical samples are not conclusive to relate the impact of miR-200 expression with disease stage^{42,43,44,45,46}. Several evidence suggest that these miR-200 family members might serve as prognostic markers for ovarian cancer clinical outcome^{47,48,49,50,51} and, in particular, a multivariate analysis confirmed that downregulation of miR-200c is associated with overall survival, independent of other clinical covariates⁴⁷. In addition, miR-200b/c are downregulated in most of ovarian cancer patients classified at high risk of relapse compared with no-relapsers³³. Conversely, Cao et al.⁵² reported that elevated miR-200b/c expression was associated with advanced tumors. Here, we discover that miR-200b/c, besides targeting ZEB1, specifically bind the ET_AR mRNA and reduce its expression in ovarian cancer cells. As a consequence of ET_AR inhibition, forced expression of miR-200b/c abrogates the ET-1/ET_AR-driven aggressiveness-related functions. In line with these findings, gene expression analysis demonstrated that overexpression of miR-200b reduces ET_AR mRNA levels in ovarian cancer cells⁵³, and similarly miR-200c downregulates ET_AR expression in gastric and high metastatic nonsmall cell lung cancers^54,55. The double-negative feedback loop between miR-200 family members and ZEB1 in ovarian carcinoma represents a molecular switch regulating the fine-tuning and reversibility of EMT¹⁸. However, the underlying mechanism of ZEB1/miR-200 axis activation in ovarian cancer progression is still not clear. Interestingly, Bendoraite et al.²² reported that the ovarian surface of mesothelial cells, displaying mesenchymal and epithelial characteristics, initially acquires characteristics of epithelial cells switching from a miR-200 family^LOW and ZEB1/2^HIGH state to a miR-200 family^HIGH and ZEB1/2^LOW phenotype. Subsequently, EMT may occur at later stages of tumor progression. In line with these results, we found that ovarian cancer cells express miR-200b/c^LOW and ZEB1^HIGH, along with ET_AR^HIGH and E-cadherin^LOW, consistent with a mesenchymal cell phenotype, predominant in aggressive cancers⁵⁶. In this framework, it is increasingly evident the existence of a network of factors being affected by, and affecting, the critical pathways that change the cell fate. Accordingly, we observed that the mutually exclusive relationship between miR-200b/c and ZEB1 is regulated by ET-1/ET_AR axis in mesenchymal ovarian cancer cells, in HG-SOC cells, that carry a hot spot missense TP53 mutation, and in platinum-resistant cells. The current study, revealing a negative association between ET_AR/ZEB1 and miR-200b/c expression in HG-SOC patients, suggests that the deregulation of these miRNAs may contribute to the aberrant expression of ET_AR and ZEB1 in aggressive tumors. We corroborate the existence of the ZEB1/miR-200 feedback loop, demonstrating that ZEB1 suppresses miR-200b/c by inhibiting their transcription. In addition, we reveal that ET-1/ET_AR pathway is an integral signaling cue of this double ZEB1/miR-200 feedback loop, suggesting a more complex regulation pattern controlling cancer progression. In particular, ET-1/ET_AR axis, suppressing the transcription of miR-200b/c through the regulation of ZEB1, endorses a mechanism of self-reinforcing. These findings suggest that changes in the level of ET_AR/ZEB1 axis and miR-200b/c could be important to control mesenchymal states and the ovarian cancer outcome.

Of translational interest, targeting ET_AR activity in ovarian cancer cells and xenografts, by using the FDA approved small molecule macitentan, results in the inhibition of invasive behavior and metastatic progression with the concomitant reduction of ZEB1 and the increase of miR-200b/c expression, validating the existence of the integrated ET_AR-miR-200b/c-ZEB1 circuit in metastatic nodules. These findings contribute to identify the networks, which regulate the function of EMT-TF, like miR-200/ZEB1, adding the functional link with ET-1/ET_AR signaling pathway supporting the basis for the therapeutic way to interfere with the interrelated ZEB1-dependent mechanism of ovarian cancer progression.

As summarized in the working model in Fig. 7g, our findings demonstrate a critical tumor suppressor role of miR-200b/c in ovarian cancer through the regulation of the ET_AR pathway. Moreover, we unveil that the miR-200b/c-ET_AR axis is modulated by the transcription factor ZEB1, suggesting that the ET_AR-miR-200b/c-ZEB1 network may represent a potential therapeutic avenue to control metastatic progression, that could be impeded by ET-1R blockade. The present study shows that ET_AR/ZEB1 targeting by miR-200 heightens ET-1 signaling and consequently can generate a condition of ET_AR addiction in ovarian cancer cells. Using different approaches, we demonstrate that the ET_AR-miR-200b/c-ZEB1 integrated circuit acts as a key node to confer aggressive traits to ovarian cancer cells fostering tumor progression. The interruption of this circuit by using ET-1R antagonist increases miR-200b/c levels, which, in turn, repress both ET_AR and ZEB1, and impair metastatic progression.

Improved understanding of how pathways operate and interact in the complex network governing the EMT, and chemoresistance of ovarian cancer cells may provide new strategies to develop more effective treatments⁵⁷. Considering that high levels of ET_AR²⁸, as well as ZEB1 overexpression^39,40, have been associated with chemoresistance and poor prognosis in HG-SOC, treatment with macitentan, able to interfere with the ET_AR-miR-200b/c-ZEB1 circuit and to exert antimetastatic effect, may represent a valuable therapeutic option in HG-SOC cells, and in platinum-resistant cells, in which this interdependent circuit could represent a strategy to escape chemotherapy response. Although we evidenced a specific role of ET-1/ET_AR activation as molecular determinant in controlling the ZEB1/miR-200b/c circuitry in the metastatic cascade, the dual ET-1R antagonists might be more appropriate than high specific ET_AR antagonists in a clinical setting^25,57,58. Indeed, the therapeutic benefit of the dual ET_AR/ET_BR-antagonist is to target not only ovarian cancer cells expressing ET_AR, hampering the ZEB1/miR-200 network, but also to interfere with tumor microenvironmental elements, such as cancer-associated fibroblasts, blood, lymphatic, and immune cells, tumor-associated macrophages, which mainly expressed ET_BR^{25,28,59,60,61} representing a therapeutic strategy which may be used to design targeted therapies that can impair ZEB1/miR-200 transcriptional machinery in cancer cells and the complex regulatory circuits in the stromal architecture.

Currently new drug combinations are investigated in order to improve therapeutic outcome of ovarian cancer patients, including the combination with antivascular endothelial growth factor therapy, bevacizumab⁶². Interestingly, treatment with bevacizumab influences ET-1 plasma level^63,64 and is of greater benefit for those ovarian cancer patients with the mesenchymal subtype⁶⁵ in which ET_AR and ZEB1 are overexpressed. Therefore, we can envisage that bevacizumab may be more effective in combination with ET-1R antagonist, curbing the ET_AR/miR-200/ZEB1 network in this molecular subtype. Future combination therapy preclinical studies should be conducted to design successful trials reflecting the full therapeutic potential of ET-1R antagonists in ovarian cancer treatment, targeting the miR-200/ZEB1 circuit.

In conclusion, our results highlight a multi-factorial feedback system controlled by ET-1 to favor cell plasticity and metastatic behavior of ovarian cancer cells, that involves ET_AR and ZEB1 and is regulated by miR-200 family members, thereby providing new insights for ovarian cancer diagnosis and effective therapeutic intervention.

Methods

Cells and cell culture conditions

Human ovarian carcinoma cell lines OVCA 433 were kindly provided by Prof. G. Scambia (Catholic University School of Medicine, Rome, Italy). Human ovarian cancer cell lines CAOV3, SKOV3, HEY, and OVCAR-3, carrying the hot spot missense TP53 mutation (R248Q), were obtained from the American Type Culture Collection (VA, USA) and A2780 and its cisplatinum resistant subclone, A2780 CIS, were obtained from European Collection of Cell Cultures (UK). To retain platinum resistance, 1 μmol/l cisplatin was added to the culture medium every two passages. HEY, OVCAR-3, A2780, and A2780 CIS cells were grown in RPMI-1640 medium (cat. #618700010, Gibco Thermo Fisher Scientific, MA, USA), SKOV3 cells were grown in McCoy’s 5A medium (cat. #26600023, Gibco Thermo Fisher Scientific), whereas OVCA 433 and CAOV3 cells were grown in Dulbecco’s modified Eagle Medium (cat. #21885025, Gibco Thermo Fisher Scientific). All media were supplemented with 10% fetal calf serum, 50 units/ml penicillin, and 50 mg/ml streptomycin. The medium for OVCAR-3 cells was also supplemented with 1× nonessential amino acid (MEM) (Gibco). Cells were tested routinely for cell proliferation as well as mycoplasma contamination. Cell lines were validated by short tandem repeat (STR) profiling. Before each experiments, cells were serum starved by incubation in serum-free medium for 24 h. ET-1 was used at 100 nM and was purchased from Sigma-Aldrich (Germany). Macitentan, also known as ACT-064992 or N-(5-[4-bromophenyl]-6-{2-[5-bromopyrimidin-2-yloxy]-ethoxy}-pyrimidin-4-yl)-N′-propylsulfamide, was added 30 min before ET-1 at a dose of 1 μM and was kindly provided by Actelion Pharmaceuticals, Ltd. (Switzerland). ZD4054, N-(3-methoxy-5-methylpyrazin-2-yl)-2-(4-[1,3,4-oxadiazol-2-yl]phenyl) pyridine-3-sulfonamide, kindly provided by AstraZeneca (Italy), was added 30 min before ET-1 at a dose of 1 µM. BQ788 was added 30 min before ET-1 at a dose of 1 µM and was purchased from Peninsula Laboratories, Abbott (Park, IL).

RNA isolation and quantitative real-time PCR (qRT-PCR)

Total RNA was extracted using the Trizol reagent (Life Technologies, Italy) according to the manufacturer’s protocol. First-strand complementary DNA was synthesized using SuperScript VILO cDNA synthesis kit (Life Technologies). qRT-PCR was performed using Power SYBR Green PCR Master Mix (Applied Biosystems, NJ, USA) with a 7500 Fast Real-Time PCR System (Applied Biosystems) according to the manufacturer’s instructions. The mRNA expression levels were determined by normalizing to cyclophilin-A mRNA expression. The primers employed for qRT-PCR were as follows: ET_AR Fw: 5′-GGGATCACCGTCCTCAACCT-3′; ET_AR Rev: 5′-CAGGAATGGCCAGGATAAAGG-3′; ZEB1 Fw: 5′-GCAGTCCAAGAACCACCCTT-3′; ZEB1 Rev: 5′-GGGCGGTGTAGAATCAGAGT-3’; pri-miR-200b Fw: 5’-AGCAGCTCCTGGAAC-3′; pri-miR-200b Rev: 5′-CACGTGCTGCCTTGT-3′; pri-miR-200c Fw: 5′-AGCCAGGGATCTGCA-3′; pri-miR-200c Rev: 5′-ACCTTGGGTCAGGCA-3′; cyclophilin-A Fw: 5′-TTCATCTGCACTG CCAAGAC-3′; cyclophilin-A Rev: 5′-TCGAGTTGTCCACAGTCAGC-3′. For miRNA analysis RNA was reverse transcribed using the hsa-miR-141, hsa-miR-200a, hsa-miR-200b, hsa-miR-200c, hsa-miR-429, or U6 snRNATaqMan MicroRNA Assay systems (Applied Biosystems) and qRT-PCR was performed by using Kapa Probe Fast Master Mix (KapaBiosystems, MA, USA). miRNA levels were normalized to U6 snRNA. Final data were obtained by using 2^−ΔΔCt method.

Western blot analysis

Cells were lysed in modified RIPA buffer (50 mM Tris-HCl pH 7.4, 250 mM NaCl, 1% Triton X-100, 1% sodium deoxycholate, and 0.1% SDS) containing a mixture of protease and phosphatase inhibitors. Protein content of the extracts was determined using the Bradford assay (cat. #5000001, Bio-Rad, CA, USA). Total proteins were subjected to SDS-PAGE. Denatured samples were loaded onto a gel of polyacrylamide and transferred by using Trans-Blot transfer pack (Bio-Rad). The membranes were blocked in TTBS (TBS with 0.1% Tween 20) containing either 5% dry milk or BSA. Primary antibodies (Abs) incubations were performed in TTBS with either 5% dry milk or BSA overnight at 4 °C. The Abs used for this study were as follows: anti-ET_AR (1:3000, ab117521, Abcam, UK), anti-Flag-tag-DYKDDDDK (1:1000, cat. #2368, Cell Signaling Technology, MA, USA), anti-vimentin (1:1000, clone D21H3, cat. #5741, Cell Signaling Technology), anti-TCF8/ZEB1 (1:1000, clone D80D3, cat. #3396, Cell Signaling Technology), anti-E-cadherin (1:500, clone 36, cat. #610181, BD Biosciences, Belgium), anti-N-cadherin (1:500, clone 32, cat. #610921, BD Biosciences), and anti-β-actin (1:1000, clone I-19, cat. #sc-1616, Santa Cruz Biotechnology, CA, USA). After washing, membranes were incubated with the appropriate secondary Abs. Western blotting (WB) filters were developed using Clarity ECL detection system (cat. #1705061, Bio-Rad) or LiteAblot turbo extrasensitive chemiluminescent substrate (cat. #EMP012001, Euroclone, Italy). WB signals were quantified using ImageJ software⁶⁶.

Transient transfection

HEY and SKOV3 cells were transiently transfected with mirVana miRNA mimic-hsa-miR-200b-3p (miR-200b), mimic-hsa-miR-200c-3p (miR-200c), negative miRNA control #1 (miR-Ctr), miRNA inhibitor hsa-miR-200b-3p (anti-miR-200b), miRNA inhibitor hsa-miR-200c-3p (anti-miR-200c), miRNA inhibitor negative control #1 (anti-miR-Ctr) (ThermoFisher Scientific, MA, USA) or with miScript mimic-miR-141, mimic-miR-200a, mimic-miR-429, or mimic-miR negative control (Qiagen, Germany) at a final concentration of 10–50 nM using RNAi/MAX Lipofectamine (ThermoFisher Scientific), according to the manufacturer’s suggestions. Alternatively, cells were transfected with Dharmacon Smart Pool ON-TARGETplus siRNA oligonucleotides specific for EDNRA (si-ET_AR, L-005485–00–0020) or ZEB1 (si-ZEB1, L-006564–01–0020) or with ON-TARGETplus nontargeting pool (si-Ctr, D-001810–10–05) (GE Healthcare Life Sciences, MA, USA). Otherwise, cells were transiently transfected with 0.5–1 μg of the following expression plasmids: ET_AR ORF clone expression plasmid (ET_AR w/o the 3′UTR, cat. #RG205385, Origene, MD, USA) that only contains the coding sequence of ET_AR; wt ET_AR expression plasmid, that has been synthesized by Neo Biotech (France) by adding the 3′UTR to the ET_AR ORF clone plasmid; ZEB1 expression plasmid or DB-ZEB1-Flag (carrying a sequence able to block the ZEB1 DNA binding domain), both kindly provided by D. Dean³⁴. C-2 pEGFP plasmid was used as control (Mock, Takara, CA, USA) and Lipofectamine 2000 (Life Technologies) as transfecting agent, according to the manufacturer’s instructions.

Luciferase reporter gene assay

Luciferase assays were carried out in HEY and SKOV3 cells seeded in 12-well plates and transfected with 200–500 ng of reporter plasmids using Lipofectamine 2000 (Life Technologies), according to manufacturer’s instructions. ZEB1 3′UTR reporter plasmid (SC-219122, Origene), ET_AR 3′UTR reporter plasmid (SC-218505, Origene) and MutET_AR 3′UTR plasmid, carrying a double mutation in positions 498–500 and 1726–1728, synthesized by Blue Heron Biotech (WA, USA). ΔET_AR 3′UTR plasmid, carrying a deletion of the region 1781–1784, was generated by using the QuikChange Site-Directed Mutagenesis Kit (Stratagene, CA, USA) and the following primers: Fw: 5′-GGAGCAAAAGTCATTACACTTTGAATATATTGTTCTTATCCTCAATTCAA-3′; Rev: 5′-TTGAATTGAGGATAAGAACAATATATTCAAAGTGTAATGACTTTTGCTCC-3′. mut/ΔET_AR 3′UTR was generated by deleting the region between 1781 and 1784 bp in the mut ET_AR 3′UTR plasmid using the following primers: Fw: 5′-TTGAATTGAGGATAAGAACAATATATTCAAAGTGTAATGACTTTTGCTCC-3′; Rev: 5′-GGAGCAAAAGTCATTACACTTTGAATATATTGTTCTTATCCTCAATTCAA-3′. miR-200 promoter activities were studied by using the pGL3–321/+120 construct (cat. #35540, Addgene, MA, USA), containing a region of 321 bp upstream to the Transcription Start Site (TSS) of miR-200b²¹ and the 0.9 kb hmiR-200c promoter reporter, containing a region of 922 bp upstream to the TSS of miR-200c, kindly provided by Dr. Muneesh Tewari²². ZEB1 transcription was analyzed by employing a luciferase reporter plasmid containing a 900 bp sequence from the ZEB1 promoter⁶⁷ synthesized by TEMA Ricerca (Italy). To analyze E-cadherin promoter activity we used the pGL2-Ecad3 construct, kindly provided by Dr. E.R. Fearon (University of Michigan, Ann Arbor, MI, USA). All plasmids were co-transfected with 150 ng of pCMV-β-galactosidase vector (Promega) and 20–50 nM of siRNAs, mimic-miRNAs or anti-miRNAs as indicated. Reporter activity was measured using the Luciferase assay system (Promega) and normalized to β-galactosidase activity.

Cell viability analysis

HEY cells were seeded in 12-well plates in triplicate. After 24 h cells were transfected and stimulated as indicated for 48–72 h. Then, cells were harvested and counted by using trypan blue dye exclusion method.

Gelatin zimography

To detect MMP-2/9 activity conditioned media of SKOV3 cells were collected and concentrated by using Spin-X UF concentrator columns (Corning, NY, USA). Samples were separated by 9% SDS/PAGE gels containing 1 mg/ml gelatin. The gels were washed for 30 min at 22 °C in 2.5% Triton X-100 and then incubated in 50 mMTris (pH 7.6), 1 mM ZnCl₂, and 5 mM CaCl₂ for 18 h at 37 °C. After incubation gels were stained with 0.2% Coomassie Blue. Enzyme-digested regions were identified as white bands on a blue background and images were acquired with ChemiDoc Imaging System (Bio-Rad).

Transwell invasion assay

Invasion assays were carried out using Boyden Chambers consisting of transwell filter inserts with 8 μm size polycarbonate membrane (Corning) placed in a 24-well plate and precoated with polymerized collagen (BD Biosciences). Transfected SKOV3 and HEY cells (3 × 10⁴) were seeded with serum-free medium in the upper chamber and ET-1 was added or not to the lower chamber. Cells were left to invade overnight at 37 °C. Cells on the upper part of the membrane were scraped using a cotton swab and the migrated or invaded cells were stained using Diff-Quick kit (Merz-Dade, Switzerland). From every transwell, several images were taken under a phase-contrast with Olympus I×70 microscope (Olympus Corporation, Japan) at 10× magnification and two broad fields were considered for quantification.

Vasculogenic mimicry assay

SKOV3 and HEY cells (2 × 10⁴) were seeded in a 96-well culture plate precoated with 50 μl/well of growth factor reduced Cultrex (Trevigen) and stimulated with ET-1 or MAC for 16 h. Upon treatment, tubule-like structure formations were visualized with an inverted microscope with a 20× magnification. Representative images were captured with a ZOE Fluorescent Cell Imager (BioRad Laboratories). Tube formation was analyzed by using Angiogenesis Analyzer for ImageJ (NIH) measuring the number of nodes and the tube length.

Animal study

Female athymic (nu+/nu+) mice, 4–6 weeks of age (Charles River Laboratories, Italy) were injected intraperitoneally with 2.5 × 10⁶ viable SKOV3, OVCAR-3, A2780, and A2780 CIS cells following the guidelines for animal experimentation of the Italian Ministry of Health. Two weeks after, SKOV3 xenografts were randomized into two different groups of eight mice, whereas OVCAR-3, A2780, and A2780 CIS xenografted mice into two different groups of ten mice undergoing the following treatments: control (Ctr; vehicle) vs. macitentan (MAC; 30 mg/kg/oral daily) for 5 weeks. After the end of treatment, all mice were euthanized and intraperitoneal organs were analyzed. The number of visible metastases was counted and the removed i.p. nodules were measured, carefully dissected, frozen and processed for WB and qRT-PCR analyses. Values represent the mean ± SD of eight mice for group for SKOV3 xenografts and ten mice for group for OVCAR-3, A2780, and A2780 CIS xenografts from two independent experiments.

Chromatin immunoprecipitation (ChIP)

Chromatin was extracted from SKOV3 cell lines (5 × 10⁶) or from SKOV3 xenografts and ChIP assays were performed as previously described²⁸. Chromatin was sheared by sonication, centrifuged and diluted in 50 mM Tris pH 8.0, 0.5% NP-40, 0.2 M NaCl, and 0.5 mM EDTA. One-twentieth of the precleared chromatin was used as the input for the ChIP assay. The precleared chromatin was rotated overnight with: anti-ZEB1 (2 µg/µl, clone H3, sc-515797, Santa Cruz Biotechnology, CA, USA) and antimouse IgG Isotype Control (2 µg/µl, Invitrogen, Carlsbad, California, USA). The differential binding between proteins and promoters DNA was examined by PCR. The primers used were as follows: miR-200b promoter, 5′-CTGCGTCACCGTCACTGG-3′ and 5′-ACAACTCGCCCGTCTCTG-3′; −1900 bp negative region, 5′-CAGCAGGTTTTCCACCACAG-3′ and 5′-GAAGCTGCTCTTTCTCCAAGG-3′.

Bioinformatic analysis

Normalized miRNA and gene expression of HG-SOC were obtained from Broad Institute TCGA Genome Data Analysis Center (2016): TCGA data from Broad GDAC Firehose 2016_01_28 run. Broad Institute of MIT and Harvard. Dataset (https://doi.org/10.7908/C11G0KM9). All the expression value differences between subgroups of samples were evaluated applying unpaired t-test or permutation test where specified. Pearson’s correlation coefficient was calculated between miRNA/gene target or gene/gene expression. One-way analysis of variance (ANOVA) was employed to analyze differences of gene expression between the subgroups of patients from TCGA. Survival and progression-free survival were evaluated by Kaplan–Meier method and a log-rank test was used to establish the statistical significance of the distance between curves. Analysis of data was performed by using the MATLAB software (MA, USA).

Statististics and reproducibility

All experiments were repeated at least three times with comparable results, unless indicated otherwise. Exact sample sizes and number of replicates were indicated in the figure legends. Results are expressed as mean ± standard deviation (SD). Error bars in bar charts represent SD. Statistical analyses were performed by using the GraphPad Prism version 8.0.0 software (CA, USA, www.graphpad.com). Student’s t-test was employed to analyze the in vitro and in vivo data. A threshold p < 0.05 was defined as statistical significance.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The source data underlying the graphs presented in the main figures are shown as Supplementary data. Uncropped blots of major figures are shown in Supplementary Fig. 7. All other data supporting the findings of the study are available within the paper and Supplementary information.

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Acknowledgements

We gratefully acknowledge Aldo Lupo for technical assistance and Maria Vincenza Sarcone for secretarial support. This work was supported by Associazione Italiana Ricerca sul Cancro (AIRC) to A.B. (AIRC IG22835).

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Authors and Affiliations

Preclinical Models and New Therapeutic Agents Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
Rosanna Sestito, Roberta Cianfrocca, Piera Tocci, Laura Rosanò & Anna Bagnato
Institute of Molecular Biology and Pathology, National Research Council (CNR), Rome, Italy
Laura Rosanò
Oncogenomic and Epigenetic Unit, IRCCS-Regina Elena National Cancer Institute, Rome, Italy
Andrea Sacconi & Giovanni Blandino

Authors

Rosanna Sestito
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Roberta Cianfrocca
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Piera Tocci
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Laura Rosanò
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Andrea Sacconi
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Giovanni Blandino
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Anna Bagnato
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Contributions

A.B. conceived and supervised the project. A.B. and R.S. analyzed and discussed the data with the help of G.B. R.S. performed most of the experiments shown in this work with the help of R.C., P.T., and L.R. A.S. performed the bioinformatic analyses. A.B. and R.S. wrote the paper with input from the other authors. All authors provided comments.

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Correspondence to Anna Bagnato.

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Sestito, R., Cianfrocca, R., Tocci, P. et al. Targeting endothelin 1 receptor-miR-200b/c-ZEB1 circuitry blunts metastatic progression in ovarian cancer. Commun Biol 3, 677 (2020). https://doi.org/10.1038/s42003-020-01404-3

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Received: 28 February 2020
Accepted: 21 October 2020
Published: 13 November 2020
DOI: https://doi.org/10.1038/s42003-020-01404-3

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