Abstract
PARP inhibitors (PARPi) have changed the treatment paradigm of high-grade serous ovarian cancer (HG-SOC). However, the impact of this class of inhibitors in HG-SOC patients with a high rate of TP53 mutations is limited, highlighting the need to develop combinatorial therapeutic strategies to improve responses to PARPi. Here, we unveil how the endothelin-1/ET-1 receptor (ET-1/ET-1R) axis, which is overexpressed in human HG-SOC and associated with poor prognosis, instructs HG-SOC/tumor microenvironment (TME) communication via key pro-malignant factors and restricts the DNA damage response induced by the PARPi olaparib. Mechanistically, the ET-1 axis promotes the p53/YAP/hypoxia inducible factor-1α (HIF-1α) transcription hub connecting HG-SOC cells, endothelial cells and activated fibroblasts, hence fueling persistent DNA damage signal escape. The ET-1R antagonist macitentan, which dismantles the ET-1R-mediated p53/YAP/HIF-1α network, interferes with HG-SOC/stroma interactions that blunt PARPi efficacy. Pharmacological ET-1R inhibition by macitentan in orthotopic HG-SOC patient-derived xenografts synergizes with olaparib to suppress metastatic progression, enhancing PARPi survival benefit. These findings reveal ET-1R as a mechanistic determinant in the regulation of HG-SOC/TME crosstalk and DNA damage response, indicating the use of macitentan in combinatorial treatments with PARPi as a promising and emerging therapy.
Subject terms: Cancer microenvironment, Ovarian cancer
Introduction
High-grade serous ovarian carcinoma (HG-SOC), in which over 90% of cases harbor TP53 mutations, is often diagnosed at advanced stages and is resistant to current therapies [1]. Among the anti-HG-SOC drug treatments, poly ADP-ribose polymerase inhibitors (PARPi) have shown promising clinical activities in the front-line management and in the maintenance treatment [2]. Despite the beneficial effects generated by their introduction into clinical treatments, eventual resistance to PARPi develops through mechanisms that have yet to be fully elucidated. Our understanding of the mechanisms underlying the therapeutic efficacy of PARPi is still evolving, including homologous recombination (HR)-dependent or HR-independent mechanisms that are largely dictated by the interactions between tumor cells and the tumor microenvironment (TME) [3–6]. Therefore, understanding the mechanisms of PARPi resistance in HG-SOC will enable the development of combination strategies to improve PARPi therapeutic efficacy.
Stromal cells and cancer cells exchange a multitude of autocrine/paracrine signals, including growth factors, cytokines and chemokines, which greatly affect both tumor and microenvironmental cell behavior [7, 8]. In such a complex tumor ecosystem, altered actionable drivers that engage molecular determinants involved in different oncogenic signaling routes may shape tumor/TME intercommunication. The molecular mechanism involved in HG-SOC/TME interactions and how this cross-talk impacts the PARPi response is currently not well characterized.
To date, different HG-SOC intrinsic mechanisms have been described for endothelin-1 (ET-1) that act on its receptors (ET-1R), the ETA receptor (ETAR) and the ETB receptor (ETBR), members of the G-protein coupled receptor (GPCR) family. Tumor-promoting events are regulated via ETAR, while TME-associated functions are mainly regulated via ETBR [9]. In OC, the ET-1/ET-1R axis has been implicated in the interplay with a network of pathways that confers features associated with the acquisition of aggressive traits [9]. In this scenario, recent findings shed light on the ability of ET-1/ET-1R signaling to integrate pathways that allow cells to remodel the extracellular matrix (ECM) through protease-secreting invadopodia, fueling metastatic progression [10].
In the array of oncogenic mediators that are activated by ET-1R, the cotranscriptional factor Yes-associated protein (YAP) [11–14] has been associated with HG-SOC progression and poor prognosis [15–17]. YAP has been studied not only for its implication in the metastatic process [18, 19] and response to different anticancer therapies [12, 13, 20–22], but also for its emerging activity in stromal elements, rewiring their phenotype and behavior, to generate a more corrupted TME [23–27]. Interestingly, mutant p53 (mutp53) activity is involved in the alliance between the ET-1/ETAR axis and YAP signaling in HG-SOC [12]. In these cells, the scaffold protein β-arrestin1 (β-arr1) acts as a nuclear linker that builds up a highly specific ET-1-driven transcriptional program [28–30], activating mutp53/YAP-dependent gene transcription [12].
An expanding body of evidence proves that YAP and mutp53, in addition to cooperating with each other [31–33], may interact with other transcription factors and cofactors at the transcriptional level, including those activated by hypoxia [34–37]. Functionally, HG-SOC cells exposed to hypoxia undergo profound rewiring, allowing them to metastasize through the activity of hypoxia-inducible factor (HIF-1α), the major hypoxia sensing transcription factor [3, 4]. In addition to hypoxic conditions, different signaling pathways, including ET-1, can induce HIF-1α activity [38, 39]. Interestingly, in the entourage of either YAP or mutp53 transcriptional allies, HIF-1α has been identified [34–37]. However, both the regulation and the functional alliance of YAP and HIF-1α in mutp53 ovarian cancer remain poorly defined. Therefore, a deeper understanding of the mechanisms acting both in the tumoral and the TME contexts, as instructed by ET-1 signaling, which implicates the integration of mutp53, YAP and HIF-1α activities, may open new therapeutic strategies to sensitize to PARPi.
In this study, we aimed to elucidate the impact of the ET-1R-driven mutp53/YAP/HIF-1α network, as a heterologous communication hub, on HG-SOC and stromal cell behavior. Based on the RNA-seq and TCGA data, as well as the analysis of patient-derived HG-SOC primary cultures, 3D cocultures, and orthotopic patient-derived xenografts (PDX), we report that repurposing macitentan, a dual ETAR/ETBR antagonist that is FDA-approved for treating pulmonary arterial hypertension [9], interferes with mutp53/YAP/HIF-1α hub-mediated tumor/stroma communication, and when combined with PARPi, elicits significant therapeutic efficacy in HG-SOC preclinical models. Thus, our findings reveal an approach that improves the response of HG-SOC to PARPi therapy.
Materials and Methods
Cells and chemical compounds
HG-SOC primary cells (PMOV10), carrying a germline missense mutation variant (R337T) on exon 9, were established and characterized as previously described [12]. The protocols for ascitic sample collection along with clinical information were approved by the Regina Elena institutional review board (IRB) and HG-SOC patients provided written informed consent. PMOV10 cells, the HG-SOC cell line OVCAR-3 (American Type Culture Collection (ATCC); VA, USA: HTB-161, TP53 mutant R248Q), Human Umbilical Vein Endothelial Cells (HUVEC; Lonza, Switzerland) and the breast cancer cell line MDA-MB-468 (ATCC, VA, USA; HTB-132, TP53 mutant R273H) were maintained as previously reported [12, 30]. Normal human lung fibroblasts (WI-38, CCL-75 ATCC) were cultured with Eagle’s minimum essential medium (EMEM) (30-2003 ATCC), supplemented with 10% FBS and 1% penicillin‒streptomycin. For experiments under hypoxic conditions, the cells were cultured as previously described [30]. Cell lines were routinely tested for mycoplasma contamination and authenticated by STR profiling. ET-1 (Sigma‒Aldrich, MO, USA; 100 nM), Macitentan (Actelion Pharmaceuticals, Ltd., Switzerland), also called ACT-064992 or N-[5-(4-Bromophenyl)-6-[2-[(5-bromo-2-pyrimidinyl)oxy]ethoxy]-4-pyrimidinyl]-N′-propyl-sulfamide, was added either 30 min before ET-1 or for 24 or 48 h at a dose of 1 μM. Olaparib (AZD2281, Selleckchem, United Kingdom), also called 4-[(3-[(4-cyclopropylcarbonyl)piperazin-1-yl]carbonyl)-4-fluorophenyl]methyl(2H)phthalazin-1-one, was added for 24 h or 48 h at 1 µM. For cell viability experiments, the concentration range was 0.5–30 µM. Cycloheximide was used at a dose of 100 μM and was purchased from Sigma‒Aldrich. Zibotentan (ZD4054, Selleckchem), also called N-(3-methoxy-5-methylpyrazin-2-yl)-2-(4-[1,3,4-oxadiazol-2-yl]phenyl) pyridine-3-sulfonamide, BQ123 (cyclo (-D-Trp–D-Asp–Pro–D-Val–Leu: Bachem, Switzerland) and BQ788 (N-cis-2,6-dimethylpiperidinocarbonyl-4-methyl-Leu-D-Trp (1-methoxycarbonyl)-D-Nle-OH Peninsula Laboratories LLC, San carlos, CA, United States), were added for 48 h at a dose of 1 µM.
Immunoblotting (IB) and immunoprecipitation (IP)
Whole-cell lysates as well as nuclear and cytoplasmic fractions were obtained as previously reported [12]. Protein samples were electrophoresed on SDS-PAGE gels, as previously described [12]. Co-IP experiments for endogenous YAP and HIF-1α were carried-out as previously reported [12]. Bands were visualized using the enhanced chemiluminescence (ECL) detection (Bio-Rad, CA, USA). Information regarding antibodies (Abs) used in this research is detailed in Supplementary Table 1 included in the Supplementary Information.
Immunofluorescence (IF) assay
Cells were fixed, permeabilized and blocked as previously published [12] and incubated overnight at 4 °C with primary Abs. Then, cells were incubated for 2 h in the dark with the secondary Abs. Nuclei were counterstained with DAPI (Bio-Rad) for 15 min. Slides were visualized at 64X magnification as previously described [12]. A minimum of 200 cells per condition was analyzed using the ImageJ program.
Proximity ligation assay (PLA)
Cells were fixed, permeabilized and blocked as previously published [13]. After, the cells were incubated overnight at 4 °C with primary Abs YAP (G-6) (1:10, cat. no. 376830, Santa Cruz, TX, USA) and HIF-1α (1:10, cat. C166867, LS BIO, WA, USA). The PLA was performed as indicated by the manufacturer. Fluorescence signals were captured with a Leica DMIRE2 microscope and quantified with ImageJ program. At least 50 nuclei per condition were analyzed.
Chromatin immunoprecipitation (ChIP) assay
Chromatin was analyzed from 5 × 106 cells by ChIP, as previously reported [12]. Co-immunoprecipitated DNA was analyzed by PCR. The primers used for ChIP experiments are listed in Supplementary Table 2 included in the Supplementary Information.
ELISA
PMOV10 cells, HUVECs and WI-38 fibroblasts silenced or not for YAP or HIF-1α were serum-starved for 24 h and then stimulated with ET-1 or hypoxia or treated with macitentan and olaparib, either alone or in combination for 48 h. The release of ET-1 and VEGF was measured in the cell conditioned media (CM) by Quantikine ELISA kits for human Endothelin or human VEGF (R&D Systems, MN, USA) following manufacturer’s instructions.
Three-dimensional HG-SOC spheroid and HG-SOC/EC spheroid sprouting assay
A three-dimensional spheroid sprouting assay was performed with PMOV10 cell spheroids and PMOV10/HUVEC hybrid spheroids by plating 100 cells per well for 48 h in 3D Culture Qualified 96-well plates. Then, spheroids were embedded into the matrix (Cultrex; Trevigen, MD, USA) and properly stimulated. Spheroids were photographed before and after treatment using a ZOE Fluorescent Cell Imager (Bio-Rad). Quantification of sprout length was performed using the ImageJ program.
Transendothelial migration assay
HUVEC were seeded (5 × 104 cells) on 8.0-μm pore membranes of a BD Invasion Chamber (BD Biosciences, NJ, USA) and left to form a monolayer for 24 h at 37 °C. PMOV10 cells silenced or not for YAP, HIF-1α or p53 underwent red staining (Sigma‒Aldrich) for 15 min at 37 °C, then were plated onto the HUVEC, and were subsequently stimulated with ET1 and/or macitentan, olaparib and/or macitentan, and allowed to invade for 24 h. Transmigrated cells were analyzed at 20X magnification with a ZOE Fluorescent Cell Imager.
Migration assay with co-cultures of HG-SOC/EC and HG-SOC/activated fibroblasts
HUVEC and WI-38 fibroblasts (4 × 104), stained in red and PMOV10 cells (7 ×104), stained in green (Sigma‒Aldrich), silenced or not for YAP, HIF-1α and p53, were cultured in a well separated by an insert (Culture–Insert 2 Well, Ibidi GmbH, Germany) until they reached confluence, when the insert was removed and pictures were taken at time 0 (T0). Then cells were stimulated with ET-1, PMOV10 CM, HUVEC CM or fibroblast CM, or were treated with macitentan for 24 h when pictures were taken (T24 h) with a ZOE Fluorescent Cell Imager. Cell-free gap area was measured with the ImageJ program.
TCGA data analysis
Computational data from The Cancer Genome Atlas (TCGA) of HG-SOC patients was obtained from Agilent gene expression level 3 TCGA data from GDAC Firehose [40]. Data are lowess normalized (cy5/cy3), log2 transformed and collapsed by gene symbol. Survival analyses were generated through the Kaplan‒Meier method, and a log-rank test was employed to establish the distance between the curves. The combined expression was obtained considering the average values of the genes. High and low expression were then evaluated considering positive and negative z-scores, respectively. A Cox hazard regression model was also included with hazard risk (HR), confidence interval at 95% and a p-value as an estimate of the significance of this interval. A p-value of <0.05 was considered significant. MATLAB (The Math Works) was used for computational analysis. GSEA: Public available data used in this article were obtained from GSEA Gene Set Enrichment Analysis (https://www.gsea-msigdb.org/gsea/index.jsp).
RNA sequencing of patient-derived HG-SOC cells
Total RNA was isolated from PMOV10 cells using the RNeasy Quick Start kit (Qiagen, Germany) according to manufacturer’s instructions. Before starting with library prep, RNA quality was determined by running samples on the 4100 TapeStation system (Agilent, CA, USA). Only RNA samples with RIN above 7 were used in the next steps. To generate the NGS libraries, we used the TruSeq Stranded mRNA kit (Illumina, CA, USA), starting with 100 ng of total RNA. GSEA preranked analysis of signaling pathways from Hallmark and Kyoto Encyclopedia of Genes and Genomes (KEGG) gene sets was performed using the Java version of the software (gsea2–2.2.3.jar; software.broadinstitute.org/gsea/), with log2FC obtained from RNA-Seq contrasts and standard parameters. RNA-Seq data have been uploaded to the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/), with accession number GSE196065.
Cytokine and chemokine assay
PMOV10 cells were seeded (15 × 104) and subsequently silenced or not for YAP, HIF-1α or p53 for 72 h and either stimulated or not with ET-1 for 24 h. Supernatants were collected after 24 h and centrifuged for 10 min at 1000 g to eliminate cell debris and thereafter diluted for the Luminex assay. Cytokines and chemokines were analyzed using a Bio-Plex Pro Human Cytokine Screening 48-Plex panel (Bio-Rad) according to the manufacturer’s instructions. The cytokine/chemokine contents of each well were identified and quantified against standard samples using a Bio-Plex Magpix apparatus (Bio-Rad).
Animals
Six- to eight-week-old female athymic nude-CD1 nu+ /nu+ mice (Envigo Laboratories, IN, USA) were housed under pathogen-free conditions. Procedures involving animals and their care were conducted with the permission from the IRCCS Regina Elena Cancer Institute Animal Care and Use Committee and the Italian Ministry of Health (D.lgs 26/2014, authorization number 1083/2020PR, issued 5 November 2020 by Ministero della Salute).
PDX studies
HG-SOC-PDX were established by intraperitoneal (i.p.) injection of a tumor suspension of freshly isolated PMOV10 cells (2.5 × 106 in 200 μl PBS) in the peritoneal cavity of nude mice, as previously reported [12]. After 7 days of latency, mice were randomly subdivided into four groups (n = 8), undergoing the following treatments: control (CTR; vehicle) versus macitentan (MAC; 30 mg/kg/oral daily) and/or olaparib (50 mg/kg/oral daily), in monotherapy or in combination therapy. The control group underwent the same schedule as those mice given the active drug. Mice were monitored daily and subsequently euthanized when they presented signs of distress due to disease progression (visible abdominal swelling, hemorrhagic ascites, and palpable abdominal tumor masses. To follow-up the combination therapy biosafety, we monitored the tolerability of the drugs. Notably, we did not observe body weight loss in all treatment groups. Following 5 weeks, mice were euthanized by cervical dislocation and intraperitoneal tumor nodules were taken throughout the peritoneal cavity. Values represent the mean of the number of visible metastases ± SD of 8 mice in each group from two independent experiments. The drug combination effect was analyzed by calculating the coefficient of drug interaction (CDI) based on the Chou-Talalay method [41]. CDI < 1 indicates that the drugs are synergistic, CDI = 1 that are additive.
Statistical analysis
With the exception of the mice model studies, data points represent the mean of three independent experiments performed in triplicates with standard deviation (SD). Student’s t-test was utilized to compare two groups of independent samples and to estimate the sample size of mice chosen for each treatment group. Statistical analysis of cell survival within time for each concentration of treatment was performed using the two-way ANOVA test. All data analyses were conducted in GraphPad Prism v8.0 software. For the present study, we used cell cultures with a normal distribution and similar variance between groups.
More information on materials and methods is available in the section Supplementary materials and methods of Supplementary information.
Results
ET-1 drives HIF-1α and YAP nuclear accumulation, and the YAP1/EDNRA/HIF1A signature is correlated with poor prognosis in HG-SOC patients
To explore the contribution of ET-1/ET-1R axis activation toward the transcriptional traits of HG-SOC cells, we monitored the global transcriptome in a preclinical relevant model of patient-derived (PD) primary cultures of HG-SOC cells (PMOV10) harboring TP53 mutations [12]. We stimulated PMOV10 cells with ET-1, treated them with the ET-1R antagonist macitentan, and then analyzed the transcriptome with RNA-Seq. Gene set enrichment analysis (GSEA) revealed a list of signaling pathways enriched upon ET-1 stimulation and downregulated following macitentan treatment (Fig. 1A, B). The most significant differentially expressed networks belonged to hypoxia-related pathways (Fig. 1A–C). We have previously shown that in response to ET-1 axis activation, YAP and mutp53 are concurrently engaged in a nuclear platform [12] that may be utilized by other transcription factors, including HIF-1α. Indeed, previous results have shown the ability of YAP to form a complex with HIF-1α [34, 42, 43], providing a strong rationale to investigate the molecular mechanisms underlying HIF-1α/YAP interdependence.
To verify whether HIF-1α may integrate ET-1-mediated YAP activity, we utilized PMOV10 and OVCAR-3 cells, both of which express ETAR and ETBR (Supplementary Fig. 1A). In these cells, ET-1, to an extent comparable to hypoxia, guided the ETAR-dependent nuclear compartmentalization of HIF-1α and concomitantly induced YAP nuclear accumulation (Fig. 1D–F and Supplementary Fig. 1B, C), whereas macitentan prevented both of these effects (Fig. 1E, F and Supplementary Fig. 1C). It has previously been reported that YAP activation may be induced by hypoxia in several solid tumors [35, 44], thus we analyzed whether ET-1 can coordinate a regulatory loop between HIF-1α and YAP in HG-SOC cells. Interestingly, silencing of either HIF-1α or YAP abolished the ET-1-induced accumulation of YAP and HIF-1α, respectively, highlighting the interdependency of ET-1-induced HIF-1α/YAP nuclear co-accumulation in HG-SOC cells (Fig. 1G and Supplementary Fig. 1D, E). In parallel with decreased YAP phosphorylation, ET-1 reduced LATS1 phosphorylation (Supplementary Fig. 1F). Moreover, LATS1 silencing blunted the impact of ET-1 on YAP/HIF-1α nuclear co-accumulation (Supplementary Fig. 1G, L), suggesting that the ET-1R pathway regulates YAP/HIF-1α nuclear localization, by interfering with LATS kinase activity.
Additionally, YAP depletion impaired ET-1-induced HIF-1α protein expression and the expression of VEGF, one of the major HIF-1α target genes (Fig. 1H and Supplementary Fig. 1H). The upregulation of HIF-1α is achieved by inhibiting proteasomal degradation through YAP, which is capable of binding to HIF-1α and sustaining HIF-1α protein stability [34]. De novo protein synthesis analysis in cells exposed to different cycloheximide kinetics before and after ET-1 or upon hypoxia stimulation (Fig. 1H–J) revealed that HIF-1α protein stability was enhanced in those cells stimulated with ET-1, with an effect that was comparable to hypoxia (Fig. 1H–J). In these cells, YAP silencing abrogated HIF-1α stability with and without ET-1 stimulation (Fig. 1K–L), indicating that YAP regulates ET-1-induced HIF-1α expression by enhancing the stability of HIF-1α.
Finally, to measure the clinical impact generated by the integration of the ET-1R axis, YAP and HIF-1α gene expression on the survival of HG-SOC patients, we evaluated the prognostic significance associated with their combined expression in The Cancer Genome Atlas (TCGA) data set [40]. The higher combined expression of YAP1, EDNRA, and HIF1A significantly correlated with a dismal prognosis of HG-SOC patients in terms of overall survival (OS) [hazard ratio (HR) = 1.33 (1.1–1.7), P = 0.015] (Fig. 1M) and disease-free survival (DFS) analysis [HR = 1.32 (1.1–1.6), P = 0.014] (Fig. 1N) when compared to those with a low-expression gene signature. Thus, the YAP1/EDNRA/HIF1A combined gene expression emerges as a predictive signature of poor prognosis in HG-SOC patients.
ET-1 instructs the formation of a mutp53/YAP/HIF-1α nuclear complex regulating both proinvasive and angiogenic factor secretion
Having observed the nuclear co-accumulation of HIF-1α and YAP in response to ET-1 stimulation and considering the interplay between YAP and mutp53 [12, 31–33] and p53 and HIF-1α [45], we envision a scenario in which ET-1 signaling may guide the physical interaction and functional cooperation among these mediators. To begin validating this hypothesis, we employed in situ proximity ligation assay (PLA) technology and detected the presence of YAP/HIF-1α nuclear complexes in HG-SOC cells. While ET-1 increased the presence of this complex in PMOV10 (Fig. 2A) and OVCAR-3 cells (Fig. 2B), macitentan treatment strongly impaired its formation (Fig. 2A, B). Similar results were obtained by co-immunoprecipitation (co-IP) analysis in PMOV10 and OVCAR-3 cells (Fig. 2C, D). Considering that the duration and localization of receptor signaling may be fine-tuned by β-arr1 [46, 47], we observed that ET-1 stimulus enhanced its interaction, not only with HIF-1α and YAP, but also with β-arr1 and mutp53, thereby leading to the formation of a distinct nuclear network (Supplementary Fig. 2A). These results were validated by reciprocal co-IP analysis using HIF-1α immunoprecipitates (Supplementary Fig. 2B). Thus, all of the components of this complex were needed, such that the absence of one of the components led to the disassembly of the complex (Supplementary Figs. 1I–K and 2A). We then investigated whether or not the ET-1R-driven formation of this multiprotein complex can affect the release of cytokines, chemokines, and growth factors in the conditioned media (CM) collected from HG-SOC cells. Analysis of several factors, namely, MIF, IL-ra, MIP-1β, M-CSF, RANTES, MCP-1 (MCAF), G-CSF, TNF-β, eotaxin, IL-9, VEGF, SCGF-β, IL-3, IL-6, IFN-γ, GRO-α, IL-15, SDF-1α, IL-1α, MCP-3, PDGF-BB, IL-4, β-NGF, IL-12, HGF, basic FGF, IL-1β, TNF-α, CTACK, IL-16, IL-2, IL-2R α, LIF, SCF, IP10, IL-13, MIP-1 α, IFN- α 2, IL-8, SM-CSF, MIG, IL-17A, IL-7, IL-10, IL-12, IL-18, TRAIL, and IL-5, demonstrated an upregulation of the factor concentrations in the media of cells upon ET-1 stimulation, when compared to untreated cells. Conversely, YAP, HIF-1α or p53 depletion reduced the concentrations of these soluble factors. Notably, VEGF appeared to be one of the most released factors in response to ET-1 (Fig. 2E). Altogether, these findings indicate that the ET-1/ET-1R-driven mutp53/YAP/HIF-1α complex modulates a repertoire of proinvasive and angiogenic cues, including VEGF.
The ET-1R-driven mutp53/YAP/HIF-1α network engages a cooperative transcriptional program driving cell invasion and transendothelial migration
To determine the transcriptional functionality of the identified YAP/mutp53/β-arr1/HIF-1α nuclear complex, chromatin immunoprecipitation (ChIP) analysis was performed. The results illustrated that upon ET-1 stimulation, β-arr1/YAP/mutp53 were recruited to the hypoxia-responsive elements (HRE) of the ET-1 and VEGF gene promoters [30], where HIF-1α was concomitantly anchored to activate a cooperative transcriptional program (Fig. 3A). Consequently, qRT-PCR revealed that ET-1 stimulation increased YAP/HIF-1α target gene expression, such as endothelin-1 (EDN1), VEGF, and connective tissue growth factor (CTGF) (Fig. 3B and Supplementary Fig. 3A–E), and this effect was prevented either by β-arr1, YAP, mutp53 and HIF-1α depletion, or upon macitentan treatment (Fig. 3B and Supplementary Figs. 1I–L, and 3A–E). Along with these results, ET-1 stimulation induced the upregulation of ET-1 and VEGF promoter activity, which was curbed upon the exclusion of each element of the transcriptional competent complex or by macitentan (Fig. 3C, D and Supplementary Fig. 3F, G). The activation of the ET-1 axis, similar to hypoxic stimulus, favored a greater release, not only of VEGF, but also of ET-1. The silencing of YAP or HIF-1α, as well as macitentan, strongly reduced the VEGF and ET-1 released by HG-SOC cells (Fig. 3E, F). Altogether, these results suggest that, downstream of ET-1R, the mutp53/YAP/HIF-1α transcriptional complex represents a multiprotein machine to deploy a cooperative program that impacts the release of different factors, including ET-1 itself, thus amplifying a self-feeding ET-1/ET-1R circuit.
To explore the involvement of the ET-1-driven mutp53/YAP/HIF-1α signaling circuit in the acquisition of aggressive features, we performed a transwell cell invasion assay and observed that macitentan, similar to YAP, HIF-1α or p53 depletion, hampered the ET-1-mediated invasive behavior of HG-SOC cells (Fig. 3G). Remarkably, HG-SOC metastatic dissemination requires transendothelial migration, a process by which tumor cells cross the endothelial cell (EC) barrier and extravasate from blood vessels. While ET-1 stimulation significantly promoted HG-SOC cell movement across the EC barrier, YAP, HIF-1α or p53 silencing, as well as macitentan treatment, significantly reduced these effects (Fig. 3H), thereby strengthening the major role of the ET-1-mediated signaling network in HG-SOC cell invasion and metastatic extravasation.
The ET-1-mediated p53/YAP/HIF-1α circuitry fuels the signal reciprocity between HG-SOC cells and endothelial cells
In view of the role of ET-1 and YAP signaling in establishing an autocrine-paracrine signaling route between tumor cells and neighboring ECs [24, 38, 39], we examined whether ET-1 can guide the activation of the p53/YAP/HIF-1α signaling complex within EC. IB analysis performed in human umbilical vein endothelial cells (HUVEC) expressing both ETAR and ETBR (Fig. 4A), revealed that ET-1 stimulation induced YAP dephosphorylation in a time-dependent manner (Supplementary Fig. 4A, B) and favored YAP and HIF-1α nuclear accumulation (Fig. 4B). These effects were reversed by macitentan treatment (Fig. 4B and Supplementary Fig. 4B). Furthermore, PLA analysis documented the formation of YAP/HIF-1α nuclear complexes in ET-1-stimulated cells, which were disrupted upon treatment with macitentan (Fig. 4C). In addition, co-IP analysis revealed the ET-1-guided formation of a nuclear complex comprising not only YAP and HIF-1α, but also p53, whose functionality is involved in EC-related angiogenic effects [48, 49] (Fig. 4D).
The ET-1 axis, mimicking hypoxia, sustained the release of VEGF and ET-1, an effect prevented by macitentan and by YAP and HIF-1α silencing (Fig. 4E, F and Supplementary Fig. 4C, D). Moreover, ET-1-stimulated or EC CM-treated HG-SOC cells displayed a higher tumor migration rate, that was inhibited by macitentan or EC CM that had been previously depleted of YAP, HIF-1α or p53 (Supplementary Fig. 4F). Next, to examine whether ET-1-mediated soluble factor secretion by HG-SOC cells can boost the angiogenic behavior of EC, we performed migration and tube formation assays, showing that the stimulation of EC with HG-SOC CM, similar to the effect with exogenous ET-1, impacted their ability to migrate and form vascular structures. The treatment of EC with CM from HG-SOC cells, previously depleted for YAP expression, HIF-1α, p53 or pretreated with macitentan, prevented these effects (Supplementary Fig. 4G, H). The capability of ET-1 signaling to instruct reciprocal intercellular communication between HG-SOC cells and EC was further analyzed in 3D hybrid spheroids, including PD HG-SOC cells and EC, in a matrix mimicking the ECM. In ET-1-stimulated spheroids, the length of sprouts invading the surrounding matrix was significantly enhanced, whereas spheroids treated with macitentan showed a reduced ability to invade (Fig. 4G). In addition, in HG-SOC/EC co-cultures, ET-1-stimulated cells tried to reach each other, establishing a gap closure of approximately 73%, similar to the effect generated by treating cells with HG-SOC and EC CM (gap closure of 69 and 84%, respectively; Fig. 4H). Interestingly, co-cultured HG-SOC/EC treated with macitentan or silenced for YAP, HIF-1α and p53 were almost unable to move. Altogether, these results suggest that the ET-1-mediated activation of the p53/YAP/HIF-1α circuit operating in both HG-SOC and EC contributes, through the bidirectional release of autocrine/paracrine factors, to the connection of tumor cells with stromal components that can be interrupted by macitentan.
The ET-1-induced p53/YAP/HIF-1α communication hub promotes the connection between HG-SOC cells and activated fibroblasts
To further uncover the role of ET-1 in HG-SOC/stroma interactions, we explored whether the ET-1-driven signaling machinery was required for the rewiring of fibroblast functions. In particular, in human fibroblasts expressing both ETAR and ETBR (Fig. 5A), ET-1 stimulation favored the induction of activated fibroblast markers, such as α-smooth muscle actin (α-SMA), vimentin and fibronectin. This effect was reduced upon treatment with macitentan (Fig. 5B), indicating that the ET-1/ET-1R axis promotes fibroblast activation [50]. The ET-1 stimulation mediated the downregulation of YAP dephosphorylation (Supplementary Fig. 5A) and favored YAP and HIF-1α nuclear accumulation and activation (Fig. 5C), which were both prevented by macitentan treatment. In addition, PLA analysis revealed the existence of YAP/HIF-1α nuclear complexes in ET-1-treated fibroblasts, which were dampened by macitentan (Fig. 5D). Co-IP analysis confirmed that ET-1 may drive the YAP/HIF-1α physical interaction. Remarkably, the nuclear complex included p53, which often displays altered functionality in the transcriptional activity of activated fibroblasts [51, 52] (Fig. 5E). The analysis of fibroblast CM revealed that ET-1R activation enhanced the release of VEGF and ET-1, an effect prevented by macitentan, as well as by YAP or HIF-1α silencing (Fig. 5F, G and Supplementary Fig. 5B, C).
Additionally, we observed that, similar to the effect produced by exogenous stimulation with ET-1, fibroblasts treated with HG-SOC CM and HG-SOC cells treated with fibroblast CM both displayed a greater migration rate than untreated cells (Supplementary Fig. 5E, F). Conversely, treatment with macitentan or CM previously depleted for YAP, HIF-1α or p53 expression reduced fibroblast and tumor cell migratory potential (Supplementary Fig. 5B–F).
Similarly, in HG-SOC/fibroblast co-cultures, ET-1-stimulated cells moved into the area of the cell free gap, resulting in a gap closure of approximately 67%, similar to the effect of HG-SOC and fibroblast CM (gap closure of 66 and 64%, respectively; Fig. 5H). Notably, treatment with either macitentan or depletion of YAP, HIF-1α or p53 proteins suppressed cell migration (Fig. 5H). In addition, in 3D PD HG-SOC spheroids, stimulation with ET-1, EC or fibroblast CM significantly enhanced the formation of invasive sprouts in the surrounding matrix. This effect was impaired by treatment with macitentan, as well as by YAP or HIF-1α silencing (Fig. 5I). Collectively, these findings suggest that ET-1-mediated reciprocal YAP/HIF-1α/mutp53 node signal activation in neighboring cells favors invasive behavior and metastatic dissemination.
Macitentan, by disrupting the cooperative YAP/HIF-1α/mutp53 adaptive signaling, enhances HG-SOC sensitivity to olaparib
Given that YAP, which is downstream of ET-1R, is emerging as a modulator of the response to different anticancer therapies [12, 13, 20–22], we explored whether the signal network between mutp53/YAP and HIF-1α instigates an escape strategy from DNA damaging agents, such as the PARPi olaparib. Interestingly, treatment with macitentan increased sensitivity to olaparib (Fig. 6A and Supplementary Fig. 6A) and the levels of cleaved-PARP and cleaved-caspase 3 (cl-PARP and cl-caspase 3), well-known markers of cell apoptosis in HG-SOC cells (Fig. 6B and Supplementary Fig. 6B, C). Of relevance, we confirmed the sensitization effect of macitentan in a breast cancer cell line MDA-MB-468, expressing both ETAR and ETBR [12], as shown by the increased PARP cleavage and enhanced expression of γH2A.X, upon the combination treatment of macitentan and olaparib (Supplementary Fig. 6D), indicating that ET-1R antagonists may be combined with PARPi in various ETAR-expressing tumor types.
Next, we screened the effect of selective ETAR antagonists (zibotentan and BQ123) and selective ETBR antagonist (BQ788) compared to macitentan. Macitentan, zibotentan or BQ123, but not BQ788, enhanced cl-PARP, cl-caspase 3 and γH2A.X expression, suggesting an ETAR-specific mechanism of regulation of pro-apoptotic and DNA damaging markers (Supplementary Fig. 6E). Of note, macitentan was more effective than zibotentan in enhancing HG-SOC sensitivity to olaparib (Supplementary Fig. 6F).
Intriguingly, HG-SOC cells depleted for YAP, HIF-1α or p53 expression and concomitantly treated with either macitentan or olaparib, were less viable than the control cells (Fig. 6C). In line with these observations, we detected increased apoptosis, as shown by the increased protein levels of cl-PARP and γH2A.X, in HG-SOC cells depleted of YAP, HIF-1α or p53 and co-treated with macitentan and olaparib (Fig. 6D and Supplementary Fig. 6G, H). The induction of severe DNA damage was evidenced by the increased number of γH2A.X and RAD51 foci, markers for double-stranded DNA breaks, in HG-SOC cells treated with a combination of macitentan and olaparib (Fig. 6E, F). Remarkably, such combinatorial treatment, constraining the activity of ET-1-driven p53/YAP/HIF-1α machinery contextually in tumor cells, EC and activated fibroblasts, induced a drastic reduction in the release of ET-1 and VEGF (Fig. 7A), and inhibited the compensatory signals that contributed to the PARPi escape pathway. Indeed, macitentan rendered HG-SOC cells more sensitive to olaparib, as shown by the increase of cl-PARP and γH2A.X levels, even in HG-SOC cells treated with CM from HUVEC or activated fibroblasts (Fig. 7B, C) and inhibited invasive behavior and transendothelial migration (Fig. 7D, E). Moreover, the combination of macitentan with olaparib interfered with the bidirectional signal exchange between HG-SOC cells and EC (Fig. 7F, H), as well as HG-SOC cells and activated fibroblasts (Fig. 7G, I), thus inhibiting tumor cell migration (Fig. 7H, I). Overall, these findings indicate that macitentan plus olaparib interrupts tumor/stroma communication, rendering HG-SOC cells more sensitive to olaparib.
Macitentan inhibits metastatic dissemination and enhances olaparib efficacy in HG-SOC patient-derived xenografts
Next, we evaluated the therapeutic efficacy of the pharmacological inhibition of ET-1R by macitentan in potentiating the effect of olaparib by controlling the in vivo metastatic dissemination of HG-SOC patient-derived xenografts (PDX). We assessed the effects of the following treatments in HG-SOC PDX and OVCAR-3 xenografts: control (vehicle) versus macitentan (30 mg/kg/oral daily) and/or olaparib (50 mg/kg/oral daily), in monotherapy or in combination therapy (Fig. 8A). The drug combination was well tolerated with no weight loss evidenced in all treatment groups. The combination significantly reduced the number and the size of tumor nodules. The effect was synergistic, as evaluated by the Chou–Talalay method [41], in HG-SOC PDX (CDI 0.09) and OVCAR-3 xenografts (CDI 0.1) treated with the combinatorial treatment schedule of macitentan and olaparib (Fig. 8B, D). In parallel, immunoblotting analysis performed with protein extracts isolated from tumor nodules revealed a significant increase in pYAP protein levels upon combination therapy. Notably, combinatorial treatments demonstrated the ability to reduce HIF-1α and VEGF protein expression, and in parallel to increase cl-caspase 3 and γH2A.X expression levels (Fig. 8C, E). These findings provide strong in vivo evidence of how macitentan, by simultaneously suppressing the intertwined YAP and HIF-1α signaling pathways, sensitizes HG-SOC PDX to olaparib, demonstrating a greater anti-metastatic and apoptotic effects, when administered as a combinatorial treatment regimen.
Discussion
The cross-talk between HG-SOC cells and the TME can also result in self-enhancing loops that contribute to generating poor responses to the available therapies and to the dismal prognosis of HG-SOC patients [1, 53]. Beyond immune cells, EC and activated fibroblasts work in concert with the ECM and other secreted molecules, such as growth factors, cytokines, and chemokines [5–8], to establish an environment that supports the survival of cancer. In this regard, the identification of the molecular critical nodes that integrate TME components may pave the road to more effective therapeutic strategies. In an effort to deeply understand the treatment-escaping mechanisms that are able to model HG-SOC/TME intercommunication, we documented how the ET-1/ET-1R circuit, by mimicking the effects of hypoxia, drives the p53/YAP/HIF-1α physical and functional alliance in the tumoral context and concurrently in EC and activated fibroblasts, to chart an interconnected route. The formation of this communication hub, by connecting HG-SOC with the surrounding stroma, represents an alternative pathway to survive to PARPi-based therapy. The current understanding of the mechanisms underlying the therapeutic efficacy of PARPi is still evolving and is mainly focused on tumor cell-intrinsic mechanisms. Our findings provide insights into the role of stromal elements in PARPi therapy and demonstrate that ET-1R-guided bidirectional interactions between tumor and stromal cells regulate PARPi response (Fig. 8F). In particular, we discovered that ET-1R, by driving the nuclear accumulation of p53, YAP and HIF-1α simultaneously in HG-SOC cells, EC and activated fibroblasts, dictates the formation and activation of a transcriptional apparatus. This leads to the enhanced release of a wide array of molecules, including ET-1 and VEGF circuits, thereby fueling a mechanism of PARPi evasion. Our findings support and add greater relevance to previous studies demonstrating that, in normoxic conditions, but even more so in hypoxic conditions, the alliance between HIF-1α and mutp53 signals potentiates the release of soluble factors that remodel the ECM and affect stromal cell activity, thereby enhancing tumor growth and metastatic potential in breast cancer [36, 37]. Given that the tumor-promoting TME phenotype is mediated via diverse mechanisms, we identified the ET-1R-mediated p53/YAP/HIF-1α hub as a therapeutic vulnerability that impacts the secretome of HG-SOC cells and the crosstalk between tumor cells with EC and activated fibroblasts, thus regulating the DNA damage response and the efficacy of PARPi treatment.
While TP53 mutations are dominant in HG-SOC cells, it is now commonly accepted that stromal elements, including EC and activated fibroblasts, do not harbor genetic alterations in TP53. However, the canonical p53 functionality in such stromal components is frequently compromised, switching from tumor-suppressive to tumor-supportive, rendering these cells gradually more aggressive [45, 51, 52]. Therefore, p53’s ability to interact with critical partners, such as HIF-1α and YAP, in EC and activated fibroblasts, represents one possibility of how this complex generates a tumor-supportive stromal compartment. In parallel to the autocrine/paracrine signaling modality of different proinvasive and angiogenic factors and inflammatory cytokines and chemokines, the formation of the p53/YAP/HIF-1α communication node is of particular interest because its activation depends on the ET-1 signal route, and in a self-magnifying circuit, in both tumor cells and stromal elements, this ultimately sustains escape from PARPi and unfavorable outcomes. Interestingly, the dynamic multifactorial connection induced by ET-1 between EC, activated fibroblasts and HG-SOC cells includes VEGF, suggesting that ET-1 and VEGF communication cues may affect pro-malignant properties and PARPi sensitivity. Indeed, the integration of ET-1 and VEGF circuits allows HG-SOC cells to escape drug control by maintaining major pro-survival signals in a continuous “on” state. Here, we show that a dual ET-1R antagonist not only promotes antitumor effects on HG-SOC cells, but also interrupts these feed-forward loops in the TME, thereby halting HG-SOC progression efficiently and rendering tumors more susceptible to PARPi therapy. Indeed, PARPi in combination with macitentan demonstrates synergistic antitumor efficacy compared with PARPi in PD HG-SOC samples and in orthotopic PDX, thereby emerging as a rational therapeutic option in combination with PARPi for HG-SOC patients. Our results are aligned with recent findings that emphasize how the repurposing of macitentan simultaneously interferes with tumor cell intrinsic and extrinsic conditions by regulating the function of cancer-associated fibroblasts and tumor-associated EC in different tumor models [53, 54]. In line with these observations, it has been recently reported that ETAR is one of the critical elements of the complex machinery for extracellular vesicle biogenesis and secretion, acting as an important mediator of cell-cell communications [55]. Moreover, ETAR expression has been associated with anti-PD-1 therapy resistance in breast cancer [56], as well as macitentan, which prevents tumor-mediated immune evasion and improves immune checkpoint blockade [56, 57]. This finding supports the idea that macitentan could be combined with other drugs, potentially targeting the TME, for the benefit of ETAR-overexpressing cancer patients.
Remarkably, the high YAP/ETAR/HIF-1α gene expression is a predictive signature of poor prognosis, negatively impacting the overall and relapse-free survival of HG-SOC patients. These findings further support the notion that the ET-1R-guided mutp53/YAP/HIF-1α transcriptional alliance critically contributes to the worst HG-SOC disease outcomes.
Overall, our mechanistic and preclinical study provides an improved therapeutic option for HG-SOC patients harboring TP53 mutations with a low response to olaparib, especially those with high ETAR/YAP/HIF-1α expression. We have shown that the combination of macitentan and olaparib leads to increased DNA damage and metastatic nodule inhibition, providing data that may be applied to the clinical setting. The emerging approach for cancer treatment of macitentan may be a tumor/stroma communication blockade, indicating that the ET-1R antagonist can be combined with olaparib to resensitize tumors to PARPi therapy and potentially improve HG-SOC patient outcome.
Supplementary information
Acknowledgements
We gratefully acknowledge Gabriele Bucci and Silvia Bonfiglio (Center for Omics Sciences, IRCCS, San Raffaele Scientific Institute, Milan, Italy) for the assistance in the RNA sequencing data analysis. We also thank Claudia Bonomo (Pathology Unit, IRCCS, Regina Elena National Cancer Institute, Rome, Italy) and Aldo Lupo (Preclinical Models and New Therapeutic Agents Unit, IRCCS, Regina Elena National Cancer Institute, Rome, Italy) for technical assistance and Maria Vincenza Sarcone for administrative support. We would like to thank Elsevier for English language editing. The research leading to these results was supported by Fondazione AIRC (AIRC IG22835) and Ministero della Salute (RF-2019-12368718) to A.B.
Author contributions
PT: conceptualization, data curation, formal analysis, investigation, methodology and writing original draft. CR, RS, VDC: investigation, methodology and data curation. AS: investigation, data curation and software. IM: data curation, formal analysis and methodology. FP and MC: methodology. GT: supervision, data curation and formal analysis. GB: supervision, writing-review and editing. AB: conceptualization, data curation, supervision, funding acquisition, project administration and writing-review editing. AB and PT wrote the paper with input from other authors. All authors critically reviewed the manuscript and approved the submitted version.
Data availability
All data generated and analysed during the current study are included in this article and its supplementary information file or from the corresponding authors (A.B or P.T) on reasonable request. The uncropped images of the blots, can be found in the original western blots file. PMOV10 HG-SOC cells will be made available to academic researchers with material transfer agreement. Further information on research design is available in the Reproducibility checklist. GSEA: Public available data used in this article were obtained from: GSEA Gene Set Enrichment Analysis (https://www.gsea-msigdb.org/gsea/index.jsp).
Code availability
The RNA-seq data have been deposited at the GEO repository database with the accession code GSE196065.
Competing interests
The authors declare no competing interests
Footnotes
Edited by Professor Mauro Piacentini
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Piera Tocci, Email: piera.tocci@ifo.it.
Anna Bagnato, Email: annateresa.bagnato@ifo.it.
Supplementary information
The online version contains supplementary material available at 10.1038/s41419-022-05538-6.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated and analysed during the current study are included in this article and its supplementary information file or from the corresponding authors (A.B or P.T) on reasonable request. The uncropped images of the blots, can be found in the original western blots file. PMOV10 HG-SOC cells will be made available to academic researchers with material transfer agreement. Further information on research design is available in the Reproducibility checklist. GSEA: Public available data used in this article were obtained from: GSEA Gene Set Enrichment Analysis (https://www.gsea-msigdb.org/gsea/index.jsp).
The RNA-seq data have been deposited at the GEO repository database with the accession code GSE196065.