- Primary research
- Open Access
PAX8 expression in high-grade serous ovarian cancer positively regulates attachment to ECM via Integrin β3
Cancer Cell International volume 19, Article number: 303 (2019)
Ovarian cancer is the third most common cause of death among gynecologic malignancies worldwide. Understanding the biology and molecular pathogenesis of ovarian epithelial tumors is key to developing improved prognostic indicators and effective therapies. We aimed to determine the effects of PAX8 expression on the migrative, adhesive and survival capabilities of high-grade serous carcinoma cells.
PAX8 depleted Fallopian tube secretory cells and ovarian cancer cells were generated using short interfering siRNA. Anoikis resistance, cell migration and adhesion properties of PAX8 silenced cells were analyzed by means of specific assays. Chromatin immunoprecipitation (ChIP) was carried out using a PAX8 polyclonal antibody to demonstrate that PAX8 is able to bind to the 5′-flanking region of the ITGB3 gene positively regulating its expression.
Here, we report that RNAi silencing of PAX8 sensitizes non-adherent cancer cells to anoikis and affects their tumorigenic properties. We show that PAX8 plays a critical role in migration and adhesion of both Fallopian tube secretory epithelial cells and ovarian cancer cells. Inhibition of PAX8 gene expression reduces the ability of ovarian cancer cells to migrate and adhere to the ECM and specifically to fibronectin and/or collagen substrates. Moreover, loss of PAX8 strongly reduces ITGB3 expression and consequently the correct expression of the αvβ3 heterodimer on the plasma membrane.
Our results demonstrate that PAX8 modulates the interaction of tumor cells with the extracellular matrix (ECM). Notably, we also highlight a novel pathway downstream this transcription factor. Overall, PAX8 could be a potential therapeutic target for high-grade serous carcinoma.
Ovarian cancer is known for being the most lethal gynecological malignancy  and includes a heterogenous group of tumors involving the ovary. High-Grade Serous Ovarian Cancer (HGSC), the most incident and fatal subtype of ovarian cancer, contributes to ~ 70% of all ovarian cancer deaths . The high mortality is attributed to the late diagnosis, more often after the peritoneal spread of HGSC . It is established as one of the most malignant ovarian cancer diagnosed with only 30% patients demonstrating 5-year survival in spite of recent advances in chemotherapy . Therefore, it is critical to understand the tumorigenic and metastatic processes that lead to the development of HGSC. Though the site of origin of this cancer could well be both ovary and Fallopian tubes, due to the mounting evidence [3,4,5,6,7] the Fallopian tube epithelium is now popularly accepted to be the primary tumorigenic site for the majority of HGSC cases. Overwhelming support to this theory is provided by the presence of Serous Tubal Intraepithelial Carcinoma (STIC) in the Fallopian tube in ~ 68% of HGSC patients . Another important evidence that further strengthen this theory is the presence of the Fallopian Tube Epithelium (FTE) lineage specific marker PAX8 in almost all HGSC [9,10,11,12]. PAX8 is a member of the evolutionarily well-conserved paired-box gene family composed of nine transcription factors known for their role in embryogenesis with their protein expression tightly controlled temporally and spatially. PAX8 has been demonstrated to be crucial in determining cell fate during the development of thyroid, kidney, brain, eyes and Mullerian system; in adult normal tissues, it is expressed in kidney, thyroid and Fallopian tubes and not in the ovarian epithelium [13,14,15]. This could be particularly relevant in the development of HGSC because PAX8 is neither lost, mutated or overexpressed but is functionally retained possibly due to a selective advantage that it confers upon HGSC tumor cells. Indeed, PAX8 belongs to a class of lineage-survival genes that are required for both normal development of specific tissues and for cancer cell proliferation/survival. Therefore, understanding PAX8 downstream network in HGSC could give important cues in unravelling new therapeutic targets. In recent years, the pro-tumorigenic role of PAX8 in ovarian cancer has been well demonstrated [16, 17] and PAX8 signaling network is under investigation to better tackle HGSC [18,19,20]. As suggested by recent studies, it is possible that new targets become available for PAX8 in ovarian cancer due to the reprogramming of PAX8 cistrome by epigenetic modifications that occur during tumorigenesis [19, 21, 22]. Actually, we believe that PAX8 possibly continues to exert its transcriptional activity on its physiological targets and may also function on newly available targets after the tumorigenic hits.
Ovarian cancers, unlike other cancers, metastasize mostly without vasculature but as spheroidal clusters or single cells and get seeded in neighboring peritoneum or bladder . A possible reason for this aggressive dissemination could be because the first epithelial mesenchymal transition (EMT) occurs in STIC of FTE that spread to the ovary as HGSC. It is interesting to note that cell-adhesion was one of the important processes regulated by PAX8 revealed in our previous study . It is an established observation of how cell-adhesion is completely dysregulated in highly metastatic cancers. Since PAX8 is an important connecting link between the non-malignant FTE secretory cells, the STIC (now reported as malignant ) and malignant HGSC, we believe it is crucial to revisit PAX8 signaling pathways in these contexts.
Here, we report that PAX8 is involved in migration and adhesion of both Fallopian tube secretory epithelial cells and ovarian cancer cells; in addition, it confers resistance to anoikis or detachment-induced apoptosis leading to EMT. Interestingly, inhibition of PAX8 gene expression in ovarian cancer cells decreases tumor cell adhesion to fibronectin and collagen.
Furthermore, loss of PAX8 strongly reduces ITGB3 expression and consequently the correct expression of the Integrin αvβ3 heterodimer on the plasma membrane. Integrin β3 has been already implicated in a wide variety of functions, including platelet aggregation and thrombosis, implantation, placentation, angiogenesis, bone remodeling, and tumor progression . Amongst integrins that have been identified as important mediators of ovarian cancer metastasis, the heterodimer Integrin αvβ3 holds a significant position [26, 27].
This is the first study reporting the correlation between PAX8 and Integrins uncovering a novel functional pathway downstream of this transcription. Moreover, we suggest a possible role for PAX8 in the peritoneal dissemination of ovarian cancer cells by modulating cancer cells’ anoikis-susceptibility and the interaction of tumor cells with the extracellular matrix (ECM).
Cell lines and culture conditions
Human ovarian cancer cell line SKOV3 was provided by the CEINGE Cell Culture Facility (Naples, Italy). High-grade serous ovarian cancer cell lines KURAMOCHI (JCRB No. JCRB0098) and OVSAHO (JCRB No. JCRB1046) were obtained from the Japanese Collection of Research Bioresources Cell Bank (JCRB). These cell lines were maintained in RPMI-1640 medium supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin (Euroclone, Italy). The human ovarian adenocarcinoma cell line PEA1 was purchased from Sigma-Aldrich and was grown in RPMI-1640 medium supplemented with 10% fetal bovine serum, 2 mM glutamine, 2 mM sodium pyruvate and 1% penicillin/streptomycin (Euroclone, Italy).
Tissue samples and primary human Fallopian tube secretory epithelium ex vivo culture system
Primary human Fallopian tube secretory cells (Primary hFTSECs) were isolated from fresh Fallopian tube (FT) fimbria specimens obtained from the Department of Gynaecology of the AOU Federico II (Naples, Italy) with approval of the institutional review board. The human tissues used in this study were collected from surgical procedures for benign gynecological indications. Specifically, cases of inflammatory disease, infection, and extensive adhesions were excluded. The FT tissue was washed several times using 0.9% NaCl solution and 1% penicillin/streptomycin (Euroclone, Italy) until all traces of blood was completely removed. The tissue was further washed in CHANG MEDIUM C (IrvineScientific, USA), to help with its stabilization, and it was dissected into very small 1 mm sized pieces with sterilized scalpel and needle. The tissue was incubated at 37 °C overnight for enzymatic digestion using 0.8 mg/ml of collagenase I (Sigma, Germany) on 60 mm culture dishes supplemented with DMEM-F12 (Euroclone, Italy) with reduced serum 5% fetal bovine serum (Euroclone, Italy) and 1% penicillin/streptomycin (Euroclone, Italy), to dissociate into single cells. Supernatant collected after O/N digestion was centrifuged at 1200 rpm for 5 min and the pellet composed of dissociated cells was plated on collagen coated 60 mm plate supplemented with DMEM-F12 (Euroclone, Italy), 2% Ultroser G serum (PALL, France) and 1% penicillin/streptomycin (Euroclone, Italy). After a visual estimation of cells that grew in plates, epithelial-like cells that grew in clusters were carefully trypsinized using clonal cylinders and re-plated onto a fresh 60 mm collagen coated culture plate. These cells, named Primary hFTSECs, were analyzed for Fallopian tube secretory epithelial cell markers such as PAX8 (kindly provided by R. Di Lauro) and OVGP1 (Oviductin sc-46432, Santa Cruz, USA) using immunofluorescence. At every passage, the cells were verified for these markers and only then used for experiments.
Cell culture transfection
In all the experiments, PAX8 expression was transiently downregulated by means of RNA interference. For migration, adhesion and immunofluorescence assays Primary hFTSEC, SKOV3, KURAMOCHI, OVSAHO and PEA1 cell lines were transfected with 5 nM PAX8 siRNA (Ambion, Life Techonologies, siRNA ID s15403) or siRNA Non-Targeting (Ambion, Life Technologies, siRNA ID 4390843) as scramble control (siCTR) for 48 h using the Lipofectamine RNAiMAX transfection reagent (Invitrogen, USA) according to the manufacturer’s protocol. Other PAX8 siRNAs used to confirm the specificity of the effects were siRNA ID s15404 and siRNA ID s15405 (Additional file 3: Fig. S2) both from Ambion, Life Technologies.
For the ITGB3 rescue experiment, plasmid pcDNA3.1-beta-3 was a gift from Timothy Springer (AddGene plasmid # 27289)  and it was transiently transfected in KURAMOCHI and PEA1 cells as described above.
RNA extraction, cDNA preparation and Real Time qPCR
Total RNA was extracted using the RNeasy Mini kit (Qiagen, Germany). The cDNA was synthesized using the iScript cDNA Synthesis kit (BIORAD, Hercules, CA). Real-time qPCR analysis was performed using the IQ™ SYBR Green PCR Master Mix (BIORAD, Hercules, CA) in a CFX96 Real-Time PCR Detection System (BIORAD, Hercules, CA) for the following genes using gene-specific primers. Sequences of primers used in qRT-PCR:
PAX8 5′-CCCTTCCAACACGCCACT-3′ (fwd); 5′-CTGCTTTATGGCGAAGGGTG-3′ (rev)
ITGB3 5′-CTCATATAGCATTGGACGGAAGG-3′ (fwd); 5′-ACATTTTCAGTCACTGCAAAGAT-3′ (rev)
ITGAV 5′-CGGATGTTTCTTCTCGTGGG-3′ (fwd); 5′-CCTCACAGATGCTCCAAACC-3′ (rev)
ABL 5′-TGGAGATAACACTCTAAGCATAACTA-3′ (fwd); 5′-GATGTAGTTGCTTGGGACCCA-3′ (rev)
VIM. 5′-GAATACCGGAGACAGGTGCAG-3′ (fwd); 5′-CGGCCAATAGTGTCCTGGTAG-3′ (rev)
FIBR. 5′-CTACCAAGGCTGGATGATGGTGG-3′ (fwd); 5′-GGAGCAGGTTCCCTCTGTTG-3′ (rev)
BCL2 5′-GCCCTGTGGATGACTGAGTA-3′ (fwd); 5′-AGGGCCAAACTGAGCAGAG-3′ (rev)
ZEB2 5′-CCAGAAGCCACGATCCAGAC-3′ (fwd); 5′-ACTGCATGACCATCGCGTTCC-3′ (rev).
For each gene, values are mean ± SD of three independent experiments, normalized by the expression of an housekeeping gene (ABL) and expressed as a percentage of the value measured in control cells. To calculate the relative expression levels we used the 2-DDCT methods .
Protein extracts and immunoblotting
Cells were washed twice with ice-cold phosphate-buffered saline (PBS) and lysed in JS buffer containing 50 mM Hepes pH 7.5, 150 mM NaCl, 5 mM EGTA pH 7.8, 10% glycerol, 1% Triton, 1.5 mM MgCl2, 1 mM dithiothreitol (DTT), 1 mM phenylmethylsulfonyl fluoride (PMSF). The protein concentration was determined using the Bio-Rad protein assay (Bio-Rad Laboratories, Inc., Hercules, CA). For Western blot analysis, proteins were separated on SDS–PAGE, gels were blotted onto Immobilon P (Millipore, Bredford, MA, USA) for 2 h and the membranes were blocked in 5% nonfat dry milk in Tris–buffered saline for 2 h or overnight before the addition of the antibody for 1 h. The primary antibodies used were: anti-PAX8 (kindly provided by R. Di Lauro), anti-Vinculin (Santa Cruz Biotech., sc-7649), anti GAPDH (Santa Cruz Biotech., sc-32233), anti-Bcl-2 (CST, 2870), anti-Bax (CST, 2772). The filters were washed three times in Tris–buffered saline plus 0.05% Tween 20 before the addition of horseradish peroxidase-conjugated secondary antibodies for 45 min. Horseradish peroxidase was detected with ECL (Pierce, Thermo Scientific).
Migration assay was performed using Ibidicell migration technology (Ibidi, Martinsried, Germany). PAX8 was silenced in Primary hFTSECs, SKOV3, KURAMOCHI, OVSAHO and PEA1 cell lines as described before. After 24 h, both scramble and PAX8 silenced cells were seeded in each chamber at a density of 3 × 105 cells/reservoir in 70 μl of normal medium for 24 h. The medium was then replaced with fresh medium and cells were treated with 10 ug/ml of Mitomycin C (Sigma M4287-2MG) for 1 h at 37 °C. After the incubation, the chambers were removed and cells were further incubated in normal medium. Cells were photographed (1:1 magnification) and the area covered by the cells within a defined area in the gap was measured using the NIH ImageJ (http://rsb.info.nih.gov/ij) software.
For the ITGB3 rescue experiment, PAX8 was silenced in KURAMOCHI and PEA1 cells as described before and transiently transfected with plasmid pcDNA3.1-beta-3 encoding for the Integrin β3 protein.
Coverslips were coated with 10 µg/ml of Fibronectin (EDM Millipore Corp., USA) or Collagen I (EDM Millipore Corp., USA) in PBS 1× for 1 h at 37 °C. PAX8 was silenced in Primary hFTSECs, SKOV3, KURAMOCHI, OVSAHO and PEA1 cell lines as described before. After 48 h, 40 × 103 of both scramble and PAX8 silenced cells were plated on the top of coated coverslips in triplicates for 2 h at 37 °C. After incubation, coverslips were washed with PBS 1×, fixed in 4% paraformaldehyde for 10 min and nucleus stained with HOECHST. The experiment was repeated three times (n = 3) for each cell line. Images were acquired using Confocal microscope (ZEISS LSM 700). For each coverslip, 10 images were acquired and analyzed using the ImageJ software.
For the ITGB3 rescue experiment, PAX8 was silenced in KURAMOCHI and PEA1 cells as described before and transiently transfected with plasmid pcDNA3.1-beta-3 encoding for the Integrin β3 protein.
To assess the anoikis activity, 1 × 104 of both scramble and PAX8 silenced Kuramochi cells 24 h after transfection were plated in triplicate on ultra-low attachment 96-well plates under regular culture conditions and on adherent 96-well plates, as control. Cell viability was detected 24 h and 48 h later using the MTS reagent (Promega, G3580). The viability ratio of cells grown in the two different wells was calculated using ODanoikis well/ODcontrol well.
Immunofluorescence and Confocal Laser Scanning Microscopy
After 24 h of transfection with siCTR and siPAX8 as described before, 50 × 103 of Primary hFTSECs and KURAMOCHI cells were plated on glass coverslips and maintained in culture for 24 h at 37 °C. Cells were fixed in 4% paraformaldehyde in PBS 1× for 20 min at RT and incubated for 30 min in 10% FBS in PBS 1×. Coverslips were subsequently incubated for 1 h with mouse monoclonal anti-αvβ3 LM609 (Millipore Corp, USA) and rabbit polyclonal anti-PAX8 diluted to 1:100 and 1:1000 in 4% FBS in PBS 1×, respectively. After PBS washes, cells were incubated for 30 min with Alexa Fluor-546 goat anti-mouse IgG (Vinci Biochem) and Alexa Fluor-488 goat anti-rabbit IgG (Vinci Biochem) both diluted to 1:200 in 4% FBS in PBS 1×. After the final washes with PBS 1×, coverslips were mounted on microscope slides using a 50% solution of glycerol in PBS 1× with Hoechst (1:3000). Experiments were carried out on an inverted and motorized microscope (Axio Observer Z.1) equipped with a 63×/1.4 Plan-Apochromat objective. The attached laser-scanning unit (LSM 700 4× pigtailed laser 405-488-555-639; Zeiss, Jena, Germany) enabled confocal imaging. For excitation, 405, 488 and 555 nm lasers were used. Fluorescence emission was revealed by Main Dichroic Beam Splitter and Variable Secondary Dichroic Beam Splitter. Double and/or triple staining fluorescence images were acquired separately using ZEN 2012 software in the blue, green and/or red channels at a resolution of 1024 × 1024 pixels, with the confocal pinhole set to one Airy unit and then saved in TIFF format.
Chromatin immunoprecipitation assay
ChIP was performed as previously described . Precleared chromatin from KURAMOCHI cells was incubated with 3 μg of affinity-purified rabbit polyclonal anti-PAX8 antibody (Thermo Scientific, PA1-112) or polyclonal anti-K-cadherin antibody as unrelated (Santa Cruz Biotechnology, sc-1503) and rotated at 4 °C for 16 h. Thereafter, the immunoprecipitated DNAs were amplified by quantitative real-time PCR with the following primers:
ITGB3 5′-CAGCCTTAAGGTCTTTGTGTTG-3′ (fwd); 5′-TCAGACCATGATGTGAAGCAG-3′ (rev).
Network analysis by bioinformatics tools
Network analysis has been performed using Cytoscape v3.6 Core [http://www.cytoscape.org, Christian T. Bioinformatics. 2010] one of the most popular open-source software for visualizing, analyzing and modelling biological networks, both for protein and gene networks [31,32,33]. The latest generation of Cytoscape (version 3.0 and later) makes it possible to integrate the genomic information (RNA-seq data) with the biological networks applying some specific tools based on study of genomic data . Data of 302 RNA-seq genes up/down-regulated before and after PAX8 silencing in HGSC were imported on Cytoscape in excel format, pre-processed using “NetworkAnalyzer” and “ClusterOne”, both implemented as default Cytoscape plugins to understand the organization and directionality of network [35, 36]. PAX8 has been used as the starting point to obtain the biological network. The distribution of up/down-regulated genes and network organization have obtained taking into consideration the following parameters: gene name, FPKM1 (value after PAX8 silencing), FPKM2 (value before PAX8 silencing), log2 and abs(log2) with cutoff < 2, to delete the self-loops and miRNAs data. The analysis of these data was performed applying “GenomeSpace”, “Signor 2.0″ and “MCODE” plugins, to realize and visualize the molecular network at graphical level exploring the changes that occur before and after PAX8 silencing [37,38,39]. Image of molecular networks were saved in.png format on Cytoscape platform using 600 DPI and 500% of resolution to generate publication-quality images from network views. The thickness of the arrow indicates the strength of the interaction and the color of the arrows indicate the biological importance of the interactions. The detailed legend for Cytoscape analysis is reported as Additional file 1: Table S1.
PAX8 inhibition affects migration and adhesion in Fallopian tube secretory cells and ovarian cancer cells
Cell migration requires dynamic interactions between cells and their substratum on which they attach and move. Changes in the adhesion molecule repertoire may correspond to changes in migratory properties conferring a more invasive phenotype to cancer cells. To explore the migratory ability of Fallopian tube secretory cells and epithelial ovarian cancer cells, migration assays were performed using the Ibidi cell migration technology after RNAi of PAX8 (see “Methods” and Additional file 2: Fig. S1). Our results clearly highlight the effect of PAX8 loss on the migratory properties of the cells demonstrated by the significant reduction in the cell migrated area of PAX8-silenced cells with respect to control cells both in Primary hFTSEC and all epithelial ovarian cancer cells that were analyzed (SKOV3, KURAMOCHI, OVSAHO and PEA1) (Fig. 1a).
In parallel, to understand the consequences of PAX8 loss on cell–matrix adhesion the ability of the cells to adhere to different extracellular matrices (ECM) was addressed. RNAi of PAX8 was performed as described (see “Methods”) and the adhesive abilities of the cells were evaluated through cell adhesion assays using Fibronectin and Collagen I as substrates to mimic the ECM. Upon PAX8 silencing, all cell types exhibited a significantly impaired adhesion ability when cultured on Fibronectin and Collagen I-coated coverslips (Fig. 1b–f).
The presence of PAX8 correlates with the achievement of anoikis resistance of ovarian cancer cells
Epithelial cells are protected by anoikis when they are adherent to ECM proteins. It is well known that cancer cells develop anoikis resistance due to several mechanisms that at the end help metastatic cancer cells to invade distant organs. Since we have demonstrated that PAX8 is involved in cell migration and adhesion, we asked whether it could also affect anoikis resistance of ovarian cancer cells. To this end, KURAMOCHI cells were transfected with siCTR and siPAX8 as described (see “Methods”), cultured under anchorage-independent conditions for 24 h and 48 h and viability of the cells was assessed by MTT assay and compared with the cells cultured simultaneously under adherent conditions. As shown in Fig. 2a, PAX8 silenced cells show a lower percentage of cell-survival compared to that of the parental cells indicating that the loss of PAX8 brings to an increased sensitivity to anoikis of ovarian cancer cells and accordingly decreased bcl-2 and increased Bax expression (Fig. 2b). Moreover, the probability of cell transition to a less mesenchymal phenotype was investigated and known mesenchymal markers such as vimentin, fibronectin, ZEB2 and others were analyzed (Fig. 2c).
PAX8 positively regulates Integrin β3 gene expression
Many experimental evidences demonstrated that deregulation of integrins or changes in their expression profile can contribute to cancer cells acquisition of tumorigenic properties. In our previous study , we reported that upon PAX8 silencing Integrin β3 (ITGB3) is amongst the genes significantly downregulated. Hence, we asked whether following PAX8 inhibition ITGB3 expression was modified also in normal Fallopian tube and in general in ovarian cancer cells. To this end, Primary hFTSEC, SKOV3, KURAMOCHI, OVSAHO and PEA1 cells were transfected with siCTR and siPAX8 as already described. Real-time qPCR analysis subsequently performed showed a good correspondence between PAX8 and Integrin β3 expression being the latter significantly decreased in all PAX8 silenced samples (Fig. 3a).
To get more insights on PAX8 regulation of ITGB3 gene expression, we asked whether the mechanism was direct. Initially, to determine whether PAX8 could directly bind to the regulatory genomic sequence of the ITGB3 gene we performed a computational analysis using the MatInspector Software (Genomatix). We searched for PAX8 binding sites in a region of about 2 Kb in the 5′-flanking region of the ITGB3 gene and we identified several PAX8 consensus sequences. To confirm the predictions of the MatInspector analysis, we carried out chromatin immunoprecipitation (ChIP) assays on KURAMOCHI cells using a PAX8 polyclonal antibody. Indeed, the ChIP result confirmed that PAX8 is able to bind to the regulatory region of ITGB3 in a position close to the start of transcription (Fig. 3b).
Rescue experiments were finally conducted to confirm the role of Integrin β3 in migration and adhesion of ovarian carcinoma cells. Specifically, KURAMOCHI and PEA1 cells were transfected with siCTR, siPAX8 or siPAX8 + ITGB3 expression vector, respectively. Migration and adhesion assays revealed that the effects caused by PAX8 knockdown could be reversed by Integrin β3 overexpression (Fig. 4).
Taken together, our results show for the first time a correlation between PAX8 and the Integrins family of receptors suggesting a novel functional pathway downstream of this transcription.
Loss of PAX8 affects plasma membrane expression of the Integrin αvβ3
Integrin β3 is reported to bind to only two other α integrin subunits: Integrin αIIb and Integrin αv. The presence of αIIbβ3 dimers is restricted to cells of the megakaryocyte lineage and is required for platelet aggregation  while αvβ3 dimers are present on proliferating endothelial cells and some cancer cells. There is evidence for the role of αvβ3 heterodimer in multiple mechanisms of tumor growth and invasion, including interaction with ECM components, matrix metalloproteinase 2, platelet-derived growth factor, insulin, VEGF receptors, and prevention of apoptosis . Recently, αvβ3 heterodimer has been observed in ovarian cancer cells and its potential as a therapeutic target for blocking tumor-induced angiogenesis is being considered .
Since the functionality of integrins depends upon their expression on the plasma membrane we reasoned that the reduced expression of ITGB3 observed upon PAX8 silencing could result in a decrease expression of Integrin β3 and likely of the αvβ3 heterodimer on the cell surface. To test this hypothesis, we performed direct immunofluorescence on Primary hFTSECs and KURAMOCHI cells before and after PAX8 silencing. As showed in Fig. 5, the lower intensity of PAX8 signal in siPAX8-Primary hFTSECs and siPAX8-KURAMOCHI cells was a confirmation of PAX8 silencing. Interestingly, a significant downregulation of the Integrin αvβ3 signal on the cell membrane was observed in good correlation with PAX8 inhibition indicating an important contribution of PAX8 for the presence of the αvβ3 heterodimer on the surface of ovarian cancer cells.
Cluster analysis of PAX8-Integrin β3 network
To analyze the PAX8-Integrin β3 network that could govern migration and adhesion in ovarian carcinoma, we re-analyzed our previous RNA-seq data using the Cytoscape platform.
Additional file 4: Fig. S3 represents the distribution of the molecular interactions embedded in the biological-molecular network before and after PAX8 silencing. The network generated was very large and complex showing strong gene correlation and interconnection among the molecular interactions of up-regulated and down-regulated genes. Since our goal was to understand how the PAX8-ITGB3 interaction was organized in ovarian carcinoma, we performed network analysis before and after PAX8 silencing in SKOV3, extrapolating it from the general network. We did this by examining the structure and distribution of molecular interactions of PAX8 network with its first force interactors (before and after silencing). As a validation of our experimental results, ITGB3 appeared as one of the most probable first interactors of PAX8 in SKOV3 (Fig. 6a). To have better insights into the PAX8-ITGB3 regulatory network, we performed a putative gene network analysis involving ITGB3 as a mediator of PAX8 in cell–cell interaction (contact inhibition) and cellular adhesion (tumor growth). Figure 6b shows the indirect targets of PAX8 regulated by its first interactor, ITGB3. There are two clusters of interactions, on the left and right of ITGB3 demonstrating different regulatory pathways (Fig. 6b). The targets of ITGB3 show two kinds of interactions—radially pointed outwards and circularly interlinked, both modulated parallelly by ITGB3 after its own PAX8 dependent regulation. While the small circular interaction on the left is characterized by interdependent interactions and are reported to be involved in tumor mass growth, the radially pointed groups of genes on right highlight a lack of functional interdependence. Most of these gene targets are involved in cellular invasion and tumor metastasis by various mechanisms like angiogenesis, cell migration, contact inhibition through ITGB3. It is important to note that the thickness of the arrow indicates the strength of the interaction within the network, justifying that there are biological interactions stronger than others and some biological interactions play a more important role than others.
It is further interesting to note that upon PAX8 silencing in SKOV3 all its first interactors including ITGB3 and its associated targets are muted (Fig. 6c). This is demonstrated by the decrease in cell adhesion and migration upon PAX8 silencing, which is reflected again on the network analysis of PAX8–ITGB3 where the network collapses and other interaction are formed because there is no PAX8 or ITGB3 to regulate the network.
The lethality of the High Grade Serous Ovarian Cancer is majorly attributed to the relapse of the cancer with > 90% succumbing after the acquisition of chemo resistance . In most cases, the relapse is enhanced and the spread is highly rapid and aggressive. This is associated with features characteristic to cancer cells such as changes in adhesive properties, resistance to anoikis leading to EMT-MET cycling and migration to secondary sites leading to the spread of the cancer [43,44,45]. Although tubal origin of HGSC is popularly accepted, the retention of PAX8 from Fallopian tube until development, spread and even relapse of HGSC is not yet thoroughly explored or explained. Though several research groups have tried to unravel newer roles of PAX8 in this context [17, 20], our findings in this report associating PAX8 to functionally relevant roles in HGSC such as adhesion, migration and anoikis resistance is among the first. Further it is interesting to note that each of these features are key contributors towards high metastatic nature and therapeutic failure during the course of HGSC. Another important aspect to bear in mind is that integrin is a central factor in all these aforementioned processes such as adhesion, migration and anoikis resistance [43, 44]. As a matter of fact, these processes are intertwined in a complex signaling network with each of them involving the integrin signaling to its extra cellular matrix—functional integrin heterodimer binding to its suitable substrate for cell-adhesion and migration and aberrant integrin-ECM signaling triggers anoikis resistance and further EMT or MET depending on the cancer cell context [43, 44]. Therefore, our results showing for the first time a PAX8 dependent ITGB3 expression could positively aid in understanding why PAX8 is expressed in almost 99% HGSC patients. Indeed, this is the only study that has demonstrated a correlation between the PAX8 transcription factor and the transmembrane protein Integrin β3. Also, the direct regulation of PAX8 is not only important in controlling the protein levels of ITGB3 but also in turn affects the αvβ3 heterodimer expression on the plasma membrane which could alter the cancer cell migratory properties. In fact, our results indicate that PAX8 exhibits an effect in migration and adhesion from the secretory cells of the normal fallopian tube epithelium, development of STIC in the Fallopian tube and subsequent spread to HGSC. Our results demonstrating the preservation of PAX8 control on ITGB3 expression and the display of functional αvβ3 heterodimer on the cell surface throughout the malignancy has given critical cues for the development of HGSC and its spread. This study underlines a novel role for PAX8 beyond its current perception as an immunological marker for HGSC and the correlation PAX8-αvβ3 heterodimer highlights a possible therapeutic role for PAX8 as it appears to be an important player in enhancing the metastatic potential of HGSC cells. It is imperative to further explore this particular function of PAX8 in altering the interaction of HGSC cells with their tumor microenvironment as this transcription factor could possibly have more than one mechanism and this could be critical in improving the current therapeutic regimen.
In conclusion, the evidence presented support a regulatory role for PAX8 in ovarian cancer tumor cell attachment to ECM via conferring adhesion and migration abilities and anoikis resistance. Further studies will pursue the identification of novel inhibitors for development of efficient blocking signals for metastasis.
Availability of data and materials
All data including additional information generated or analyzed during this study are included in this article. All original data are available upon request.
High Grade Serous Ovarian Cancer
Serous Tubal Intraepithelial Carcinoma
Fallopian Tube Epithelium
- Primary hFTSECs:
primary human Fallopian tube secretory cells
epithelial mesenchymal transition
Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–86.
Vang R, Shih Ie M, Kurman RJ. Ovarian low-grade and high-grade serous carcinoma: pathogenesis, clinicopathologic and molecular biologic features, and diagnostic problems. Adv Anatom Pathol. 2009;16(5):267–82.
Carlson JW, Miron A, Jarboe EA, Parast MM, Hirsch MS, Lee Y, Muto MG, Kindelberger D, Crum CP. Serous tubal intraepithelial carcinoma: its potential role in primary peritoneal serous carcinoma and serous cancer prevention. J Clin Oncol. 2008;26(25):4160–5.
Diniz PM, Carvalho JP, Baracat EC, Carvalho FM. Fallopian tube origin of supposed ovarian high-grade serous carcinomas. Clinics. 2011;66(1):73–6.
Jarboe E, Folkins A, Nucci MR, Kindelberger D, Drapkin R, Miron A, Lee Y, Crum CP. Serous carcinogenesis in the fallopian tube: a descriptive classification. Int J Gynecol Pathol. 2008;27(1):1–9.
Kim J, Coffey DM, Creighton CJ, Yu Z, Hawkins SM, Matzuk MM. High-grade serous ovarian cancer arises from fallopian tube in a mouse model. Proc Natl Acad Sci USA. 2012;109(10):3921–6.
Lim D, Oliva E. Precursors and pathogenesis of ovarian carcinoma. Pathology. 2013;45(3):229–42.
Kessler M, Fotopoulou C, Meyer T. The molecular fingerprint of high grade serous ovarian cancer reflects its fallopian tube origin. Int J Mol Sci. 2013;14(4):6571–96.
Tacha D, Zhou D, Cheng L. Expression of PAX8 in normal and neoplastic tissues: a comprehensive immunohistochemical study. Appl Immunohistochem Mol Morphol. 2011;19(4):293–9.
Tong GX, Devaraj K, Hamele-Bena D, Yu WM, Turk A, Chen X, Wright JD, Greenebaum E. Pax8: a marker for carcinoma of Mullerian origin in serous effusions. Diagn Cytopathol. 2011;39(8):567–74.
Wang Y, Wang Y, Li J, Yuan Z, Yuan B, Zhang T, Cragun JM, Kong B, Zheng W. PAX8: a sensitive and specific marker to identify cancer cells of ovarian origin for patients prior to neoadjuvant chemotherapy. J Hematol Oncol. 2013;6:60.
Xiang L, Kong B. PAX8 is a novel marker for differentiating between various types of tumor, particularly ovarian epithelial carcinomas. Oncol Lett. 2013;5(3):735–8.
Blake JA, Ziman MR. Pax genes: regulators of lineage specification and progenitor cell maintenance. Development. 2014;141(4):737–51.
Lang D, Powell SK, Plummer RS, Young KP, Ruggeri BA. PAX genes: roles in development, pathophysiology, and cancer. Biochem Pharmacol. 2007;73(1):1–14.
Mansouri A, Hallonet M, Gruss P. Pax genes and their roles in cell differentiation and development. Curr Opin Cell Biol. 1996;8(6):851–7.
Di Palma T, Lucci V, de Cristofaro T, Filippone MG, Zannini M. A role for PAX8 in the tumorigenic phenotype of ovarian cancer cells. BMC Cancer. 2014;14:292.
Rodgers LH. E Oh, Young AN, Burdette JE: Loss of PAX8 in high-grade serous ovarian cancer reduces cell survival despite unique modes of action in the fallopian tube and ovarian surface epithelium. Oncotarget. 2016;7(22):32785–95.
de Cristofaro T, Di Palma T, Soriano AA, Monticelli A, Affinito O, Cocozza S, Zannini M. Candidate genes and pathways downstream of PAX8 involved in ovarian high-grade serous carcinoma. Oncotarget. 2016;7(27):41929–47.
Elias KM, Emori MM, Westerling T, Long H, Budina-Kolomets A, Li F, MacDuffie E, Davis MR, Holman A, Lawney B, et al. Epigenetic remodeling regulates transcriptional changes between ovarian cancer and benign precursors. JCI Insight. 2016;1(13):e87988.
Ghannam-Shahbari D, Jacob E, Kakun RR, Wasserman T, Korsensky L, Sternfeld O, Kagan J, Bublik DR, Aviel-Ronen S, Levanon K, et al. PAX8 activates a p53-p21-dependent pro-proliferative effect in high grade serous ovarian carcinoma. Oncogene. 2018;37(17):2213–24.
Adler EK, Corona RI, Lee JM, Rodriguez-Malave N, Mhawech-Fauceglia P, Sowter H, Hazelett DJ, Lawrenson K, Gayther SA. The PAX8 cistrome in epithelial ovarian cancer. Oncotarget. 2017;8(65):108316–32.
Kar SP, Adler E, Tyrer J, Hazelett D, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Bogdanova N, Brinton L, et al. Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. Br J Cancer. 2017;116(4):524–35.
Lengyel E. Ovarian cancer development and metastasis. Am J Pathol. 2010;177(3):1053–64.
Schneider S, Heikaus S, Harter P, Heitz F, Grimm C, Ataseven B, Prader S, Kurzeder C, Ebel T, Traut A, et al. Serous tubal intraepithelial carcinoma associated with extraovarian metastases. Int J Gynecol Cancer. 2017;27(3):444–51.
Desgrosellier JS, Cheresh DA. Integrins in cancer: biological implications and therapeutic opportunities. Nat Rev Cancer. 2010;10(1):9–22.
Landen CN, Kim TJ, Lin YG, Merritt WM, Kamat AA, Han LY, Spannuth WA, Nick AM, Jennnings NB, Kinch MS, et al. Tumor-selective response to antibody-mediated targeting of alphavbeta3 integrin in ovarian cancer. Neoplasia. 2008;10(11):1259–67.
Kobayashi M, Sawada K, Kimura T. Potential of integrin inhibitors for treating ovarian cancer: a literature review. Cancers (Basel). 2017;9(7):83.
Takagi J, Petre BM, Walz T, Springer TA. Global conformational rearrangements in integrin extracellular domains in outside-in and inside-out signaling. Cell. 2002;110(5):511–99.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8.
Di Palma T, Conti A, de Cristofaro T, Scala S, Nitsch L, Zannini M. Identification of novel Pax8 targets in FRTL-5 thyroid cells by gene silencing and expression microarray analysis. PLoS ONE. 2011;6(9):e25162.
Bauer-Mehren A. Integration of genomic information with biological networks using Cytoscape. Methods Mol Biol. 2013;1021:37–61.
Cline MS, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C, Christmas R, Avila-Campilo I, Creech M, Gross B, et al. Integration of biological networks and gene expression data using Cytoscape. Nat Protoc. 2007;2(10):2366–82.
Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.
Su G, Morris JH, Demchak B, Bader GD. Biological network exploration with Cytoscape 3. Curr Protoc Bioinform. 2014;47:11–24.
Assenov Y, Ramirez F, Schelhorn SE, Lengauer T, Albrecht M. Computing topological parameters of biological networks. Bioinformatics. 2008;24(2):282–4.
Nepusz T, Yu H, Paccanaro A. Detecting overlapping protein complexes in protein-protein interaction networks. Nat Methods. 2012;9(5):471–2.
Bader GD, Hogue CW. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform. 2003;4:2.
Demchak B, Hull T, Reich M, Liefeld T, Smoot M, Ideker T, Mesirov JP. Cytoscape: the network visualization tool for GenomeSpace workflows. F1000 Res. 2014;3:151.
Perfetto L, Briganti L, Calderone A, Cerquone Perpetuini A, Iannuccelli M, Langone F, Licata L, Marinkovic M, Mattioni A, Pavlidou T, et al. SIGNOR: a database of causal relationships between biological entities. Nucleic Acids Res. 2016;44(D1):D548–54.
Giancotti FG, Ruoslahti E. Integrin signaling. Science. 1999;285(5430):1028–32.
DeMali KA, Wennerberg K, Burridge K. Integrin signaling to the actin cytoskeleton. Curr Opin Cell Biol. 2003;15(5):572–82.
Agarwal R, Kaye SB. Ovarian cancer: strategies for overcoming resistance to chemotherapy. Nat Rev Cancer. 2003;3(7):502–16.
Cao Z, Livas T, Kyprianou N. Anoikis and EMT: lethal “Liaisons” during cancer progression. Crit Rev Oncog. 2016;21(3–4):155–68.
Paoli P, Giannoni E, Chiarugi P. Anoikis molecular pathways and its role in cancer progression. Biochim Biophys Acta. 2013;1833(12):3481–98.
Yu Y, Ramena G, Elble RC. The role of cancer stem cells in relapse of solid tumors. Front Biosci (Elite Ed). 2012;4:1528–41.
We sincerely thank Anna Conti, Giuseppe Bifulco and Lucio Nitsch for the primary human Fallopian tube secretory cells and for helpful discussion. We also thank Dr. R. Drapkin that kindly provided the FT194 cell line and Dr. L. Cerchia for the Integrin αvβ3 antibody.
The work was supported by the InterOmics Flagship Project coordinated by the CNR, Italy. A.A.S. is a recipient of a doctoral fellowship from the Ph.D. of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy. P.G. is a Ph.D. student of the International INCIPT program co-funded by Horizon 2020-CO-FUND Marie Sklodowska Curie Actions.
Ethics approval and consent to participate
Specimens were obtained from the Department of Gynaecology of the AOU Federico II (Naples, Italy) with the ethics approval and consent of the Institutional Review board.
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The authors declare that they have no competing interests.
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Additional file 2: Figure S1. (a) qRT-PCR showing the expression levels of PAX8 in the cell lines used. The values are mean ± SD of three independent experiments in duplicate, normalized by the expression of ABL and expressed as fold change with respect to hFTSEC cells, whose value was set at 1.0. (b) Western blots showing the depletion of PAX8 protein upon siRNA treatment in the cell lines used. Vinculin was used to normalize the blots.
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Soriano, A.A., Cristofaro, T., Palma, T. et al. PAX8 expression in high-grade serous ovarian cancer positively regulates attachment to ECM via Integrin β3. Cancer Cell Int 19, 303 (2019) doi:10.1186/s12935-019-1022-8
- Ovarian cancer
- Fallopian tube epithelial secretory cells
- Integrin β3