Abstract
Disease recurrence in high-grade serous ovarian cancer may be due to cancer stem–like cells (CSC) that are resistant to chemotherapy and capable of reestablishing heterogeneous tumors. The alternative NF-κB signaling pathway is implicated in this process; however, the mechanism is unknown. Here we show that TNF-like weak inducer of apoptosis (TWEAK) and its receptor, Fn14, are strong inducers of alternative NF-κB signaling and are enriched in ovarian tumors following chemotherapy treatment. We further show that TWEAK enhances spheroid formation ability, asymmetric division capacity, and expression of SOX2 and epithelial-to-mesenchymal transition genes VIM and ZEB1 in ovarian cancer cells, phenotypes that are enhanced when TWEAK is combined with carboplatin. Moreover, TWEAK in combination with chemotherapy induces expression of the CSC marker CD117 in CD117− cells. Blocking the TWEAK–Fn14–RelB signaling cascade with a small-molecule inhibitor of Fn14 prolongs survival following carboplatin chemotherapy in a mouse model of ovarian cancer. These data provide new insights into ovarian cancer CSC biology and highlight a signaling axis that should be explored for therapeutic development.
Implications:
This study identifies a unique mechanism for the induction of ovarian cancer stem cells that may serve as a novel therapeutic target for preventing relapse.
Introduction
Ovarian cancer is the most deadly gynecologic malignancy in the United States, resulting in over 15,000 deaths each year (1). Although most high-grade serous ovarian cancer (HGSOC) patients initially respond to platinum-based chemotherapy, over 80% of patients with advanced-stage disease relapse within 24 months and eventually develop chemoresistance (2). Thus, much research has focused on clarifying mechanisms of chemoresistance and the processes involved in tumor relapse. Over a decade of research has implicated tumor-initiating cells, here referred to as cancer stem–like cells (CSC), in mediating these activities; efforts to characterize and target these cells are a promising avenue for preventing relapse and improving survival for women with ovarian cancer (3–9).
As a master regulator of several cellular processes including proliferation, apoptosis, and immune response, the NF-κB signaling network has a central role in cancer progression (10, 11) and contributes to metastasis and poor outcomes in ovarian cancer (12–15). NF-κB follows classic (canonical) or alternative (noncanonical) signaling pathways leading to activation of either p65(RelA):p50 or RelB:p52 NF-κB heterodimers, respectively. Whereas induction of NF-κB activity through the classic pathway is rapid, transient, and typically a consequence of inflammatory cytokines such as TNFα, IL1β, IL6, and IL8, alternative pathway signaling promotes more delayed and persistent NF-κB activity in response to cytokines such as LT-β, TWEAK, CD40, BAFF, and RANK (16, 17). Although classic NF-κB signaling has been observed previously in ovarian cancers, involvement of NF-κB through the alternative pathway has been investigated only recently (17–20). For example, one recent study examining 196 ovarian cancer tissues found that p52 expression, independent of p65, is associated with significantly lower progression-free and overall survival (19).
Our previous work implicates alternative NF-κB in maintaining ovarian cancer CSC phenotypes (18). Relative to 2-D monolayer-cultured cells, 3-D cultured cells exhibit stem-like properties including enhanced tumor initiation and chemoresistance, elevated expression of SOX2, OCT4, and NANOG genes, and an enrichment of CD117, CD44, and CD133 surface markers and aldehyde-dehydrogenase (ALDH) activity (9, 18, 21). We found that these cells exhibit increased activation of both classic and alternative NF-κB pathways that promote either a proliferative or quiescent phenotype, respectively (18).
Given its ubiquitous activity and pleiotropic effects on a variety of normal cells, targeting NF-κB has remained clinically unfeasible. However, identifying and targeting specific inducers of this pathway is a promising approach. The upstream activators of alternative NF-κB signaling in ovarian cancer are unclear but include a variety of factors from the inflammatory but immunosuppressive tumor microenvironment (TME) that characterizes this disease (14). To begin to elucidate these, we investigated the hypothesis that specific inducers of alternative NF-κB are enriched in the ovarian TME and contribute to disease progression and relapse through induction of NF-κB activity. We show that TNF-like weak inducer of apoptosis (TWEAK), a multifunctional cytokine important for tissue repair, is enriched following chemotherapy, induces activation of alternative NF-κB, enhances stem-like features, and contributes to relapse in an ovarian cancer mouse model. This study provides novel insight into NF-κB signaling and CSC biology and uncovers a potential new therapeutic target for inhibiting relapse in ovarian cancer.
Materials and Methods
General cell culture conditions
Cell line information is presented in Supplementary Table S1. OVCAR8 and CAOV4 cells were obtained and authenticated from NCI-Frederick DCTD tumor/cell line repository. OV90 was obtained and authenticated by ATCC. Deidentified ascites specimen VBCF004 was collected as pathologic waste from posttreatment ovarian cancer patients and was determined to be outside the federal regulations for the protection of human subjects (45 CFR 46; OHSRP #12727 and #12797; ref. 18). Viable tumor cells and non-cell fractions from ascites were purified using Ficoll separation as previously reported (18). All adherent cultures were maintained in standard media (RPMI for OVCAR8, OV90, and CAOV4; DMEM:F12 for VBCF004), supplemented with 10% FBS and 1% 10,000 U/mL penicillin/streptomycin. When using inducible CRISPR-Cas9 cell lines, tetracycline-free FBS was substituted for standard FBS. Cells are tested for mycoplasma annually. Cells were maintained in culture for a maximum of 15 passages.
Molecules
TWEAK (human and mouse), BAFF, CD40L, CRP, IL1β, IL6, IL8, Leptin, TGFβ1, TGFβ3, and TNFα cytokines were purchased from R&D Systems and reconstituted per the manufacturer's instructions (Supplementary Table S1). Carboplatin for in vitro assays was reconstituted per the manufacturer's instructions (R&D Systems; Supplementary Table S1). The FN14 inhibitor L542-0366 was reconstituted in DMSO with sonication until dissolved per experiment (Millipore; Supplementary Table S2).
NF-κB luciferase assay
The NF-κB Luciferase Cignal Lenti Reporter Assay was purchased from Qiagen, transduced per the manufacturer's protocol at MOI of 50, selected with 2 μg/mL puromycin, and expanded to generate stably expressing reporter cell lines. Cells were plated in 96‐well, opaque white, clear‐bottom plates at 1,500–6,000 cells/well depending on cell line with cytokines added the following day. The cells were allowed to incubate for 24 hours before analysis using the Promega ONE-Glo EX Luciferase Assay System per the manufacturer's protocol. Luminescence was read on a SpectraMax iD3 plate reader.
NF-κB binding assay
Cells were plated in 10-cm dishes and allowed to rest overnight before the addition of TWEAK for either 2 or 24 hours. NF-κB proteins were quantified in whole-cell lysates using the TransAM NF-κB Activation Assay from Active Motif per the manufacturer's instructions.
Western blots
Cells were plated in culture dishes and allowed to rest overnight before treatment. Whole-cell lysates were collected using NP-40 cell lysis buffer with HALT protease and phosphatase inhibitor. Nuclear and cytosolic fractions were collected using Active Motif Nuclear Extract Kit per the manufacturer's instructions. Proteins were separated by SDS-PAGE using 4%–12% Bis-Tris gels and MOPS running buffer and transferred to a PVDF membrane before blocking and incubation overnight at 4°C with primary antibodies (Supplementary Table S2). Secondary antibodies were incubated for 1 hour at room temperature (Supplementary Table S2). Bands were visualized on the Invitrogen iBright CL1000 Imaging System with analysis using the iBright Analysis Software.
Cell viability assay
Cells were seeded into 96‐well, opaque white, clear‐bottom plates and allowed to rest overnight before being treated with TWEAK and allowed to grow for 72 hours. Viability was assessed after 72 hours with CellTiter‐Glo 2.0 reagent per the manufacturer's instructions. Luminescence was detected using a SpectraMax iD3 plate reader.
Proliferation
For Ki-67, cells were seeded into culture dishes and incubated overnight before treatment with TWEAK for 72 hours. Cells were then fixed in 1% formalin followed by Triton-X permeabilization. Cells were stained with primary antibody to Ki-67 followed by secondary antibody (Supplementary Table S2) and quantified by flow cytometry.
For EdU, 500 to 1,000 cells were seeded into black 96-well, clear-bottom plates overnight prior to treatment with TWEAK and EdU for 72 hours. EdU incorporation was assessed with the Click-iT Plus EdU Alexa Fluor 647 assay per the manufacturer's instructions. Hoechst 33342 and EdU incorporation were imaged on the ImageXpress Pico plate imager and analyzed with CellReporterXpress software (Supplementary Table S2).
TUNEL assay
2,500 to 4,000 cells were seeded into black 96-well, clear-bottom plates and incubated overnight prior to treatment with either vehicle, TWEAK, or carboplatin and allowed to incubate for 6 hours. EdUTP incorporation was assessed with the Click-iT Plus TUNEL Alexa Fluor 488 assay per the manufacturer's instructions. Hoechst 33342 and EdUTP incorporation were imaged on the Molecular Devices ImageXpress Pico plate imager and analyzed with CellReporterXpress software. Percent EdUTP incorporation was quantified blindly using automated imaging analysis with CellProfiler for counting and scoring (22).
Caspase assay
Cells were plated into black 96-well, clear-bottom plates and incubated overnight prior to treatment with either vehicle, TWEAK, or carboplatin and incubated for 72 hours. Caspase-3/7 activity was assessed using the Invitrogen CellEvent Caspase-3/7 Green Detection Reagent per the manufacturer's instructions (Supplementary Table S2). Hoechst 33342 and caspase-3/7 cleavage was imaged on the Molecular Devices ImageXpress Pico plate imager and analyzed with CellReporterXpress software.
RNA extraction and quantitative reverse transcription PCR (qRT-PCR)
Total RNA was isolated using the NucleoSpin RNA Plus kit per the manufacturer's instructions. cDNA synthesis was carried out using the High-Capacity cDNA Reverse Transcription kit per the manufacturer's protocol. Quantitation and normalization of gene expression were performed using TaqMan Fast Advanced Master Mix and TaqMan probes (Supplementary Table S2). Experiments were run on a QuantStudio 3 instrument and analyzed with the QuantStudio Design and Analysis software using the delta-delta Ct method with GAPDH endogenous control.
Spheroid formation assay
Cells were plated at 100 to 500 cells/well in ultra-low attachment, flat bottom 96‐well plates cultured in RPMI media supplemented with 5% to 10% FBS, 1% 10,000 U/mL penicillin/streptomycin, and either TWEAK or vehicle. Spheroids were allowed to grow for 4 to 7 days, with TWEAK supplementation every 3 to 4 days, followed by staining with Hoechst 33342. Spheroids were imaged using the ImageXpress Pico and size 50 to 500 μm were counted using the CellReporterXpress software (Supplementary Table S2). Spheroid efficiency is defined as (# of spheroids)/(# of cells per well).
Pulse-chase assay
Cells were plated at 500 to 3,000 cells per well in a 96-well, black well, clear-bottom plate and allowed to rest overnight. For the pulse, cells were grown for at least two divisions in 0.5 to 1 μmol/L EdU prior to the chase, in which cells were removed from EdU and allowed to divide in the presence of either TWEAK or vehicle for 60 to 72 hours. EdU incorporation was assessed with the Click-iT Plus EdU Alexa Fluor 647 assay and F-actin was also assessed using Phalloidin-Alexa Fluor 488, both used per the manufacturer's instructions. Hoechst 33342 and EdU incorporation or F-actin staining were imaged on the Molecular Devices ImageXpress Pico plate imager and analyzed with CellReporterXpress software (Supplementary Table S2).
siRNA transfections
Cells were plated the day before to achieve a confluency of around 60% for transfection. 30 nmol/L pools of 4 siRNAs targeting either FN14 or a nontargeting control were transfected using Lipofectamine RNAiMAX per the manufacturer's instructions (Supplementary Table S2). Cells were incubated for 24 hours before being collected for downstream experiments. Cells were replated and cultured for an additional 48 hours for validation of Fn14 silencing.
CRISPR cell line production
Knockout clonal cell lines for RelB were derived per the manufacturer's protocol for Horizon's Edit-R Inducible Lentiviral Cas9 Nuclease with Edit-R Lentiviral sgRNA (Supplementary Table S2). 10 μg/mL blasticidin and 2 μg/mL puromycin was used to select for cells with the integrated Cas9 nuclease and sgRNA guides followed by induction of genomic editing with 3 μg/mL doxycycline for 7 days. Serially diluted clonal lines were expanded and screened for the loss of RelB by western blot.
Flow cytometry and CD117 sorting
Flow cytometry experiments were completed as previously described (ref. 9; Supplementary Table S2). For sorting experiments, CAOV4 cells were seeded for 6 days in ultra-low attachment T-75 cm2 flasks with stem cell media (DMEM/F12, 1% knockout serum replacement, 0.4% BSA, 0.1% insulin-transferrin-selenium-X (ITS), 1% 10,000 U/mL penicillin/streptomycin and supplemented every 2 to 3 days with 20 ng/mL EGF and 10 ng/mL FGF). After 6 days, cells were collected and prepared into single-cell suspensions using CellStripper Dissociation Reagent and needle dissociation using a 25-gauge needle. Cells were stained for CD117 or propidium iodide (PI), sorted for CD117− and/or CD117+ cells using the BD FACSMelody Cell Sorter, and then plated for 24 hours prior to treatment with either vehicle, TWEAK, carboplatin, or TWEAK and carboplatin (Supplementary Table S2). For assessing gene expression, CD117+ or CD117− cells were harvested after 72 hours of treatment with TWEAK and immediately processed for downstream qRT-PCR. For assessing viability, CD117+ cells were harvested after 120 hours and processed for the cell viability assay as described above. 120-hour treatments consisted of 72 hours carboplatin followed by 48 hours vehicle; 72 hours carboplatin and TWEAK followed by 48 hours vehicle; 48 hours TWEAK followed by 72 hours carboplatin; or 72 hours carboplatin followed by 48 hours TWEAK. For assessing marker expression of CD117 in sorted cells, either mock sorted or CD117− cells were cultured for 14 days with two doses of sequential treatments of vehicle or carboplatin and TWEAK, as previously reported (9). Briefly, cells received an initial treatment of carboplatin and TWEAK for 24 hours with subsequent 2-fold dilution with media.
To assess CD117 growth characteristics and chemoresistance, OV90 cells were enriched for CD117+ and CD117− using the Miltenyi Biotec CD117 microbead kit and the quadroMACS separator with LS columns. Separated cell populations were either plated for cell viability assay or for spheroid formation assay as described above.
Animal experiments
All animal studies were approved by the SDSU Animal Care and Use Committee (protocol approval numbers 18-04-006H and 21-05-003H). Power analysis indicates using 6 to 8 mice/group to achieve a conservative effect size of 0.4. For subcutaneous xenografts, 50,000 to 500,000 OV90 cells in 1:1 Matrigel in PBS were subcutaneously injected into the left flank of 8-week-old female athymic Nu/Nu mice. Mice were weighed, and tumors were measured with blinded groups twice weekly. Once tumors reached 150 mm3, mice were treated with either vehicle or carboplatin (50 mg/kg) delivered via intraperitoneal (i.p.) injection once per week for 3 weeks. Mice were sacrificed in two groups: on average 5 days (group 1) or 12 days (group 2) after the third dose of carboplatin to evaluate progressive changes.
For i.p. xenografts, 4 × 106 CAOV4 cells in 500 μL PBS were injected into 8-week-old female athymic Nu/Nu mice. Mice were weighed and monitored for clinical signs twice weekly. Tumor formation was assessed by palpation and visual inspection of the abdomen. Seven days after injection, mice were randomly assigned to either group 1: vehicle, group 2: carboplatin (50 mg/kg) i.p. once per week for 3 weeks, group 3: carboplatin (as administered in group 2) combined with FN14 inhibitor (9 mg/kg) in 5% DMSO/95% corn oil delivered by i.p. every other day for 3 weeks, or group 4: carboplatin (as administered in group 2) followed by FN14 inhibitor (as administered in group 3) for 6 weeks or until humane endpoints. Tumor burden for mice was assessed after necropsy with collection of peritoneal wall, spleen, liver, omentum, spleen, mesentery, ovaries, and diaphragm. To avoid endpoint bias, mice were blinded to treatment groups, randomized to separate cages, weighed twice weekly, and assessed for survival endpoints four times a week by the same observer.
Enzyme-linked immunosorbent assay (ELISA)
The concentration of cytokines IL6 and TWEAK (Supplementary Table S2) was assessed using DuoSet sandwich ELISA per the manufacturer's instruction using non-cell fractions from ascites samples and tumor tissue samples, which were flash frozen immediately following collection. For the tissue, 1 to 3 mg sections were dissected, weighed, and protein was dissociated on gentleMACS M tubes in RIPA lysis buffer. Samples were prepared and analyzed per the manufacturer's instructions.
IHC and immunofluorescence (IF)
For IHC, tumors were resected, fixed in 10% neutral buffered formalin, and stored in 70% ethanol before processing. Tumors were embedded in paraffin and sectioned at 5 μm. Antigen retrieval was performed in citrate buffer and quenched with hydrogen peroxide. Slides were incubated with primary antibodies overnight at 4°C followed by an HRP-linked secondary for 1 hour at room temperature and processed using DAB (Supplementary Table S2). Four randomly selected, blinded images per slide were acquired with an Olympus BX51 with CellSens Standard software. Digital quantification of DAB staining was performed using ImageJ with a FIJI deconvolution package as described previously (9).
For IF, tumors were fixed, embedded, and antigen retrieval was done as above. Slides were blocked with 1% goat serum in PBS and then incubated with RelB-FITC primary antibody overnight (Supplementary Table S2). Slides were mounted with the Fluoroshield antifade medium with DAPI, and four randomly selected, blinded images per slide were acquired within 1 to 3 days with an Olympus BX63 with CellSens Standard software. Exposure time and beam intensity were kept consistent. Nuclear and cytosolic digital quantification of IF staining was performed blinded using automated imaging analysis with CellProfiler (22) and modeled with image set BBC014v1 (23). The Nuclear–cytosolic ratio was calculated as described previously (24).
Public database analysis
Public databases were queried as clarified (Supplementary Table S3).
Statistical analysis
Statistics were generated using Prism 9.3.1 with data acquired from at least three independent biological replicates. Results are presented as mean ± SEM. Significance was calculated using either Student t test for comparisons of two means or ANOVA for comparisons of three or more means with a post hoc test to identify differences between groups as described in figure legends. Differences between means are considered statistically significant at the 95% level (P < 0.05). Statistics were completed as described here or as otherwise noted in the figure legends.
Data availability
The data generated in this study are available upon request from the corresponding author.
Results
To identify factors that sufficiently activate NF-κB in ovarian cancer, we first exposed three different HGSOC ovarian cancer cell lines, including primary tumor-derived line OVCAR8, metastatic site-derived CAOV4, and ascites-derived OV90 (Supplementary Table S1; refs. 25, 26), each stably expressing an NF-κB luciferase reporter to increasing concentrations of known NF-κB inducers. We found consistently elevated signaling in response to TNFα and TWEAK across all three cell lines tested (Fig. 1A). TNFα-induced activation of classic NF-κB has been shown in several studies to contribute to ovarian cancer progression and metastasis (27–29); however, few studies to date have investigated the role of TWEAK in this disease (30, 31). To expand on these findings, we next performed an NF-κB DNA-binding assay to determine the relative abundance of activated NF-κB transcription factors in nuclear lysates collected after 2 and 24 hours of TWEAK stimulation. All three cell lines tested show significantly enhanced activation of both classic (p50 and p65) and alternative (p52 and RelB) NF-κB proteins after 24-hour stimulation relative to the vehicle; however, activation of RelB is highest across the three cell lines tested, relative to the other NF-κB subunits (Fig. 1B). To lend further support to these findings, we performed a western blot on nuclear and cytosolic lysates collected from ovarian cancer cell lines treated with TWEAK for 2 or 24 hours. TWEAK stimulation leads to strong nuclear localization of alternative NF-κB subunit factors p52 and RelB (Fig. 1C). RelA nuclear localization was minimally increased with TWEAK stimulation. Similar results were found in a primary cell line (VBCF004) derived from the ascites of an HGSOC patient (Fig. 1D). Together, these data suggest TWEAK is a strong inducer of alternative NF-κB activation that can also induce some classic NF-κB activity in ovarian cancer cells.
We next investigated the significance of TWEAK in tumor samples from ovarian cancer patients and mouse models of ovarian cancer. We found that soluble TWEAK in ascites derived from HGSOC patients with recurrent, chemoresistant disease had an average concentration of 4,241 pg/mL (288–1,4798 pg/mL) and, although lower, is analogous to the average IL6 concentration of 7,677 pg/mL (2,527–12,427 pg/mL; Fig. 2A). IL6 is a cytokine shown to be important and present at high levels in ovarian cancer progression and relapse (32, 33). These data suggest TWEAK is an appreciable component of the ovarian TME.
To establish TWEAK expression in clinical samples, we assessed TWEAK transcripts in tumor samples derived from HGSOC patients undergoing neoadjuvant chemotherapy (NACT; ref. 33). Post-NACT tumor samples had significantly higher levels of TWEAK mRNA relative to patient-matched pre-NACT tumor samples (Fig. 2B). These findings were confirmed using another recently published data set (Supplementary Fig. S1A; method in Supplementary Table S3; ref. 34). Further analysis of these samples shows that TWEAK mRNA levels positively correlate with CSC marker CD117, and the epithelial-to-mesenchymal transition (EMT) markers, ZEB1 and CDH2 (N-cadherin). Conversely, TWEAK mRNA negatively correlates with epithelial marker genes EPCAM and CDH1 (E-cadherin) and the proliferation marker MKI67 (Ki-67; Fig. 2C).
Given its established role in tissue repair and its elevated expression post-NACT, we reasoned that TWEAK levels might be higher in cytotoxic chemotherapy-treated tumors relative to vehicle-treated tumors. Indeed, subcutaneous xenograft tumors resected from mice receiving three cycles of carboplatin chemotherapy exhibited higher levels of soluble TWEAK relative to mice receiving vehicle (Fig. 2D). Moreover, fixed tumors resected from chemotherapy-treated mice showed significantly higher expression of the TWEAK receptor, Fn14, relative to tumors from vehicle-treated mice (Fig. 2D). Altogether, these findings support the notion that TWEAK is present in the ovarian TME, that it correlates with the expression of stem and EMT genes, and that it is elevated after chemotherapy treatment.
Analysis of ovarian cancer data sets, including TCGA, revealed a significant decrease in progression-free and overall survival of HGSOC patients whose tumors have high expression of TWEAK transcripts (Fig. 2E; Supplementary Fig. S1B and S1C). Moreover, tumors from TCGA patients who had a recurrence had significantly higher levels of TWEAK transcripts relative to patients who remained tumor-free (Fig. 2F). Given the specificity of TWEAK for its receptor, Fn14 (35), we confirmed the elevated expression of FN14 transcripts in ovarian cancer tissues relative to normal ovarian tissue (Fig. 2G). Data sets, including TCGA, further show that FN14 expression is associated with a decrease in overall survival (Supplementary Fig. S1D). We confirmed that TWEAK and FN14 were not comparatively high in normal ovarian tissues nor in our cell lines (Supplementary Fig. S1E and S1F). We then confirmed that Fn14 was present on ovarian cancer cells by flow cytometry (Supplementary Fig. S1G), and that TWEAK gene expression is not changed in ovarian cancer cells after carboplatin treatment (Supplementary Fig. S1H), suggesting TWEAK is produced from other cells in the TME.
We next conducted several experiments to examine the effects of TWEAK stimulation on tumor cells. Exogenous TWEAK stimulation for 72 hours had minimal effects on viability (Supplementary Fig. S2A) or proliferation as measured by Ki-67 staining (Supplementary Fig. S2B) or EdU incorporation (Supplementary Fig. S2C). Only the CAOV4 cell line exhibited a small but significant decrease in viability and proliferation when stimulated with TWEAK. Likewise, there was no significant effect on apoptosis when cells were treated with TWEAK relative to vehicle-treated cells as demonstrated by the TUNEL assay (Supplementary Fig. S2D) and caspase activity assay (Supplementary Fig. S2E). By contrast, carboplatin significantly induced apoptosis in these cells. Given these findings and its ability to activate alternative NF-κB signaling, its correlation with stem cell marker gene expression, and its enrichment with chemotherapy, we hypothesized that TWEAK may contribute to phenotypes associated with CSCs.
We have previously shown that spheroid formation was at least partially dependent on NF-κB transcription factors (18), so we tested whether TWEAK stimulation enhances the ability of ovarian cancer cells to form spheroids and asymmetrically divide. Because these processes largely depend on the activation of EMT genes and stem cell transcription factors that support long-term self-renewal and asymmetric division, we first examined transcript levels of relevant genes after TWEAK stimulation (Fig. 3A and B). TWEAK induced a significant increase in the expression of NF-κB inducing kinase (NIK), a critical kinase in the alternative NF-κB signaling pathway, in all cells. Expression of the EMT gene Vimentin (VIM) also significantly increased in all cell lines tested, whereas ZEB1 increased in CAOV4 and OVCAR8. The epithelial marker gene CDH1 decreased in OVCAR8 and VBCF004. There was no significant difference in OCT4 or NANOG expression with TWEAK stimulation in any of the cell lines; however, SOX2 was upregulated in CAOV4 and OVCAR8.
We then examined spheroid formation and asymmetric division. Relative to the vehicle, TWEAK significantly enhanced spheroid formation efficiency in CAOV4 and OVCAR8 cells, but not in OV90 cells (Fig. 3C). TWEAK treatment also promoted spheroid formation in the primary cells (Fig. 3D). There was a significant decrease in F-actin staining, a factor that increases during cell differentiation (Fig. 3E; refs. 36, 37) and a corresponding decrease in the symmetric division after TWEAK stimulation relative to vehicle (Fig. 3F). These data indicate that TWEAK can induce expression of genes associated with stemness and/or EMT and can promote spheroid formation and asymmetric division in a variety of ovarian cancer cells.
To better characterize the effects of TWEAK–Fn14 signaling on CSC populations, we examined ovarian cancer cells expressing known markers of ovarian CSCs (CD117, CD133, and ALDH) with TWEAK stimulation in the presence or absence of chemotherapy. Relative to vehicle, there was no significant difference in the percentage of cells expressing traditional CSC markers when stimulated with TWEAK, with the exception of OV90, which showed an increase of cells with ALDH activity (Fig. 4A). As expected, with carboplatin treatment, there was a significant enrichment of CD117+ and/or CD133+ cells in the CAOV4 and OVCAR8 cell lines. In agreement with our previous findings, we observe that CD133+ALDH+ double-positive cells are enriched in OV90 cells after chemotherapy treatment (9). We have shown in other studies that CAOV4 and OVCAR8 do not express sufficient CD133+ALDH+ cells (9, 25). Interestingly, carboplatin combined with TWEAK led to the largest enrichment of CD117 and CD133 expressing cells in two of the three lines tested. Notably, the combination treatment led to an almost complete elimination of CD117− cells, as CD117+ cells made up 65% to 85% of the surviving population in CAOV4 and OVCAR8 cells (Fig. 4A). We examined gene-expression changes in cells undergoing these treatments and found that although TWEAK stimulation alone enhances expression of SOX2, NIK, and VIM genes, combining it with chemotherapy leads to the largest increase in expression of these genes (Fig. 4B). This treatment combination similarly led to the greatest increase in spheroid development (Fig. 4C), in agreement with other studies (38–41), presumably due to enrichment of CSCs. Interestingly, OV90 cells do not respond to TWEAK as strongly as the other cell lines, and this is likely due to the high endogenous levels of SOX2 previously established in this line (9) and the relatively low level of Fn14 expression, we discover in this study. Taken together, these data suggest that TWEAK enhances either the development of new CSCs during chemotherapy or improves the ability of carboplatin to eliminate non-CSCs. Either scenario would lead to an enrichment of CSCs after chemotherapy.
To further investigate this, we assessed changes in the percentage of cells expressing both the Fn14 receptor (Fn14+) and CD117 (CD117+) under these same treatment conditions. Although there is a significant increase in the percentage of Fn14+CD117+ cells with TWEAK in combination with carboplatin relative to all other treatments, there is a significant decrease in the percentage of Fn14+CD117− cells under this treatment regimen (Fig. 4D). These findings suggest that the effects of TWEAK on non-CSCs (CD117−) are different from those on CSCs (CD117+). As further validation of CD117 as an ovarian cancer CSC marker, we performed column separation of CD117+ and CD117− cells and assessed growth rates and spheroid chemosensitivity. CD117+ cells grew significantly more slowly when compared with CD117− cells, and CD117+ spheroids were chemoresistant to carboplatin treatment, whereas CD117− spheroids were somewhat more chemosensitive (Fig. 4E). To explore the possibility that TWEAK could act differently on non-CSCs and CSCs, we performed FACS on CD117+ and CD117− cells and subsequently treated with TWEAK to evaluate changes in gene expression relative to vehicle. TWEAK treatment of CD117− cells enhances expression of FN14, NIK, SOX2, and VIM genes relative to vehicle-treated CD117− cells (Fig. 4F). The levels of gene expression in CD117− cells treated with TWEAK are comparable to those endogenously expressed in vehicle-treated CD117+ cells. However, stimulation of CD117+ cells with TWEAK led to the highest expression of these genes, relative to vehicle-treated CD117+ cells.
To evaluate TWEAK-induced chemoresistance of CD117+ cells associated with these gene changes, we compared different delivery times of TWEAK treatment in a chemosensitivity assay (Fig. 4G). We found that CD117+ cells treated with TWEAK before the introduction of carboplatin had a 6-fold survival advantage, when compared with CD117+ carboplatin-treated cells, CD117+ cells treated with carboplatin and TWEAK at the same time, and CD117+ cells treated with TWEAK after carboplatin treatment. This suggests that TWEAK-induced gene changes can confer chemoresistance on CD117+ cells. To evaluate whether TWEAK and chemotherapy can promote the expression of CD117 on CD117− cells, we treated either mock-sorted cells or CD117− sorted cells with two sequential treatments of serum concentration of carboplatin and TWEAK over 14 days, as we have done previously (9). Mock-sorted cells recapitulated our findings in Fig. 4D showing a significant increase in the percentage of Fn14+CD117+ cells when treated with TWEAK in combination with carboplatin (Fig. 4H). CD117− sorted cells treated with TWEAK in combination with carboplatin significantly upregulated CD117 relative to vehicle-treated cells. These experiments strongly support the idea that TWEAK acts on CD117+ cells to enhance chemoresistance and, when combined with chemotherapy, enhances the development of CD117+ cells from CD117− cells, both of which would facilitate the survival of CSCs during chemotherapy.
We next evaluated the specificity of TWEAK–Fn14-dependent differences in gene expression and spheroid formation. Expression of the Fn14 receptor is dramatically increased in CSC-enriching 3-D cultures, relative to 2-D monolayer cultures in CAOV4 and OVCAR8 cells (Fig. 5A). We verified that this enriched expression was not due to fibroblast growth factor, a component of 3-D culture media (Fig. 5B). Knockdown of the receptor using siRNA or FN14 inhibitor (L542-0366) eliminated the TWEAK-induced NF-κB activation (Fig. 5C–E), spheroid formation (Fig. 5F), and SOX2 and NIK expression (Fig. 5G), implicating TWEAK–Fn14 as a vital upstream contributor to the CSC phenotype observed in ovarian cancer cells. We also confirmed that the upregulation of SOX2 and NIK, which was most enhanced with a combination of carboplatin and TWEAK, was lost when the treatment included an FN14 inhibitor (Fig. 5H).
We have previously shown that RelB expression is enhanced in ovarian cancer cells after chemotherapy or when grown in 3-D conditions (18). In this study, we discovered that Fn14 expression is also enhanced with chemotherapy and 3-D culture conditions (Fig. 5A and 6A). Moreover, TWEAK treatment leads to higher expression of RelB relative to carboplatin (Fig. 6A). To assess the delayed effect of TWEAK on downstream targets like CSC features and RelB in post-chemotherapy tumors, we resected xenograft tumors 12 days after three cycles of carboplatin were completed in a relapsing subcutaneous mouse model, in contrast to 5 days after chemotherapy presented in Fig. 2G. Soluble TWEAK remained high in chemotherapy-treated mice relative to mice receiving vehicle (Fig. 6B). As expected, there was a significant enrichment for CD117+ expressing cells (Fig. 6C), as well as RelB nuclear localization following chemotherapy (Fig. 6D). To determine if the TWEAK-induced CSC features are dependent on RelB, we used CRISPR-Cas9 editing technology to knock out the RelB transcription factor in CAOV4 cells (Fig. 6E). Loss of RelB prevented the upregulation of SOX2, VIM, and ZEB1 genes induced by TWEAK (Fig. 6F). Moreover, the downregulation of CDH1 induced by TWEAK was partially rescued with knockout of RelB. Loss of RelB also diminished TWEAK-induced spheroid forming ability (Fig. 6G) and asymmetric division (Fig. 6H). The percentage of Fn14+CD117+ cells surviving carboplatin alone and carboplatin combined with TWEAK was significantly hampered with knock out of RelB (Fig. 6I). Similarly, loss of RelB led to a significant enrichment in the percentage of Fn14+CD117− cells, indicating the diverse effects of TWEAK on CD117+ and CD117− cells are at least partially dependent on RelB. Thus, TWEAK may be a promising upstream target for inhibiting NF-κB–dependent phenotypes, such as chemoresistance in CSCs.
We next tested whether inhibiting TWEAK activity in vivo could prolong survival in an i.p. xenograft mouse model of ovarian cancer. Given that TWEAK is likely secreted by stromal cells (35, 42), we first verified that mouse TWEAK is structurally homologous to human TWEAK (Supplementary Fig. S3A and S3B), can sufficiently activate NF-κB (Supplementary Fig. S3C and S3D), and induce spheroid formation (Supplementary Fig. S3E) in human ovarian cancer cells, can induce expression of SOX2 and NIK as observed with human TWEAK (Supplementary Fig. S3F), and that these phenotypes are dependent on the human Fn14 receptor (Supplementary Fig. S3D–S3F).
Because TWEAK levels appear to be highest with chemotherapy administration, we assessed whether inhibiting TWEAK–Fn14 signaling in combination with carboplatin chemotherapy or as maintenance therapy after the completion of 3 cycles of carboplatin would prolong overall survival in an i.p. model (Fig. 7A). Administration of the FN14 inhibitor L542-0366, in combination with carboplatin, significantly prolonged overall survival (Fig. 7B). The longest overall survival was observed when the L542-0366 was given as a maintenance therapy following three cycles of carboplatin chemotherapy (Fig. 7B). Consistent with our subcutaneous xenograft tumor model, TWEAK was enriched in chemotherapy-treated IP tumors relative to vehicle (Fig. 7C). Tumor weights at necropsy were significantly lower for mice treated with L542-0366 as a maintenance, relative to carboplatin alone (Fig. 7D and E). Furthermore, FN14 inhibition leads to lower tumor burden at the ovary (Fig. 7F). IHC analysis of resected tumors showed that the overall levels of RelB at necropsy are not significantly different among any of the treatment groups (Fig. 7G); however, blinded automated imaging analysis with CellProfiler as previously described (22–24) demonstrates reduced nuclear localization of RelB in L524-0366-treated tumors, relative to vehicle or chemotherapy alone (Fig. 7H). These data indicate that inhibiting TWEAK–Fn14 signaling following standard 3-cycle chemotherapy provides a survival benefit in mice. Our in vitro data suggest this may be due to the ability of TWEAK to promote expression of stemness genes and corresponding phenotypes in CSCs via alternative pathway NF-κB activity during chemotherapy. Thus, blocking the TWEAK–Fn14–NF-κB signaling cascade should be further explored as a potential clinical approach to prolong remission in ovarian cancer patients.
Discussion
In addition to tumor cells, the ovarian TME is characterized by a variety of nontumor cells including tumor-associated macrophages, cancer-associated adipocytes, and cancer-associated fibroblasts, all of which secrete cytokines that can activate NF-κB and/or stemness signaling pathways in cancer cells (14, 43). Emerging studies in ovarian cancer implicate the TME in inducing stemness through the secretion of cytokines that alter signaling pathways and/or epigenetic patterns (32, 44). NF-κB, a master regulator of diverse cellular processes, is persistently activated in ovarian cancer and is associated with a poor prognosis (12, 19, 45). We previously identified a novel role for the alternative NF-κB transcription factor subunit, RelB, in maintaining ovarian CSCs with low proliferative potential, tumor initiation capacity, and chemotherapy resistance (18). Given its robust activation by various stimuli, in this study, we sought to identify consistent inducers of alternative NF-κB that may serve as promising targets for eliminating CSCs and preventing recurrence in ovarian cancer.
We discovered that TWEAK is a strong inducer of the alternative NF-κB pathway in HGSOC cells and is enriched in tumors following chemotherapy. A previous study showed that TWEAK–Fn14 signaling contributes to ovarian cancer metastasis via NF-κB-mediated upregulation of vascular endothelial growth factor (VEGF; ref. 30). This study focused on the role of classic NF-κB as a downstream effector of TWEAK–Fn14 signaling and did not investigate alternative NF-κB mechanisms. Although TWEAK can activate both classic and alternative NF-κB pathways, activation of the alternative pathway is more long term and may be restricted to specific cell types (35, 46–48). Our findings suggest TWEAK is a strong inducer of alternative NF-κB in ovarian cancer cells and promotes a stem-like phenotype. Interestingly, activation of either classic or alternative NF-κB by TWEAK can provoke contrasting phenotypes. For example, TWEAK-mediated activation of classic NF-κB leads to myoblast proliferation and suppression of myogenesis in muscle regeneration, whereas TWEAK-dependent activation of alternative NF-κB leads to myogenesis and suppression of myoblast proliferation (46). These findings are intriguing given our previous work in ovarian cancer showing that classic NF-κB signaling supports a proliferative phenotype, whereas alternative NF-κB supports a quiescent phenotype (18). Although the current study focuses on alternative NF-κB pathway-dependent processes promoted by TWEAK, future studies to unravel features facilitated by classic NF-κB would be worthwhile and may uncover a novel mechanism for maintaining heterogeneity in ovarian cancer. Although activation of NF-κB transcription factors is the most common effector of TWEAK–Fn14 signaling, other pathways including ERK, JNK, and PI3K/AKT have been shown to be induced by TWEAK in specific cell types, which together may affect ovarian cancer biology (35, 49, 50).
TWEAK is a cytokine of the TNF superfamily and its activity is mediated by binding, with high specificity, to its receptor, a type I transmembrane protein known as Fn14 (49–51). TWEAK and Fn14 are normally expressed at low levels in healthy tissues but can be upregulated during tissue injury, for example, in response to IFNγ (52–54). Transient TWEAK–Fn14 signaling is critical for efficient wound repair; however, constitutive expression of Fn14 is implicated in several diseases including cardiovascular disease, rheumatoid arthritis, and cancer (52, 53, 55). Our results show an upregulation of Fn14 on ovarian tumor cells following chemotherapy in vitro and in vivo. TWEAK is primarily secreted by macrophages and stromal cells (56–60), and given the tissue remodeling activities that underscore tumor formation and responses to cytotoxic treatments, it is conceivable that TWEAK is elevated in tumors and may be increased further following chemotherapy.
Our findings indicate that TWEAK–Fn14 signaling has diverse effects on subpopulations of ovarian cancer cells. Given that CD117 expression is a marker of chemoresistant CSCs (9, 61), we examined the effects of TWEAK on CD117+ and CD117− cells. TWEAK–Fn14 signaling in CD117− bulk tumor cells appears to sensitize them to carboplatin chemotherapy as the percentage of CD117− cells decreases when TWEAK is combined with carboplatin. These findings are in agreement with previous studies showing that Fn14 expression sensitizes ovarian cancer cells to chemotherapy, although this study did not examine CSCs nor the role of TWEAK in this process (31). Conversely, we found that the percentage of CD117+ cells increases with TWEAK and carboplatin treatment. Moreover, TWEAK stimulation of CD117+ cells induces the highest expression of stemness genes, thus enhancing their CSC characteristics including their ability to survive in the presence of chemotherapy, and likely their ability to initiate relapse. Interestingly, TWEAK stimulation during carboplatin treatment of CD117− cells induced CD117 expression, suggesting a possible reprogramming of non-CSCs into CSCs in the presence of TWEAK. Our results align with several studies that implicate TWEAK in inhibiting differentiation, inducing EMT, and maintaining stemness in a variety of tissue types (52, 62–65).
Given the enrichment of TWEAK with chemotherapy and its ability to enhance CSC features, we propose that the TWEAK–Fn14–RelB signaling axis contributes to CSC development, thereby enhancing relapse potential in ovarian cancer (Fig. 7I). We show that a maintenance therapy inhibiting TWEAK signaling following carboplatin administration significantly prolonged survival in a mouse model of ovarian cancer. Our in vitro studies suggest this may be at least partially due to the inhibition of alternative NF-κB signaling, although we cannot rule out the involvement of other TWEAK signaling pathways. Future studies investigating the regulation of TWEAK in the ovarian TME may enable the development of new therapeutic approaches for preventing tumor recurrence in ovarian cancer.
Supplementary Material
Acknowledgments
This work was funded by the National Institute on Minority Health and Health Disparities at the NIH under award number U54MD012397. This work was also supported by the NCI at the NIH under award numbers R00 CA20472703 and R01CA260281, and by the SDSU/UCSD Cancer Partnership funded by the National Cancer Institute at the NIH under award numbers U54CA132384 (SDSU) and U54CA132379 (UC San Diego). R. Holmberg was supported by the Arne N. Wick Predoctoral Fellowship from the California Metabolic Research Foundation. We thank Dr. Christina M. Annunziata and the National Cancer Institute for the kind gift of clinical ascites samples, Benjamin Canter of the SDSU FACS core facility for his excellent assistance with flow cytometry experiments, Larkin Slater of the SDSU vivarium for her assistance with mouse studies, and Natalie Gude for her assistance with histology studies.
The publication costs of this article were defrayed in part by the payment of publication fees. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.
Footnotes
Note: Supplementary data for this article are available at Molecular Cancer Research Online (http://mcr.aacrjournals.org/).
Authors' Disclosures
B.G. Bitler reports grants from NCI/NIH, ACS, and DOD during the conduct of the study; other support from Onconic Therapeutics outside the submitted work. C.D. House reports grants from NCI and National Institute on Minority Health and Health Disparities during the conduct of the study. No disclosures were reported by the other authors.
Authors' Contributions
R. Holmberg: Conceptualization, data curation, formal analysis, validation, investigation, visualization, methodology, writing–original draft, writing–review and editing. M. Robinson: Conceptualization, data curation, formal analysis, validation, investigation, visualization, methodology, writing–original draft, writing–review and editing. S.F. Gilbert: Formal analysis, validation, investigation, visualization, methodology, project administration, writing–review and editing. O. Lujano-Olazaba: Formal analysis, validation, investigation, methodology, writing–review and editing. J.A. Waters: Formal analysis, validation, investigation, methodology. E. Kogan: Data curation, formal analysis. C.L.R. Velasquez: Validation, investigation. D. Stevenson: Validation, investigation. L.S. Cruz: Formal analysis, validation, investigation. L.J. Alexander: Validation, investigation. J. Lara: Formal analysis, validation, investigation. E.M. Mu: Validation, investigation. J.R. Camillo: Validation, investigation. B.G. Bitler: Resources, data curation, investigation, writing–review and editing. T. Huxford: Conceptualization, supervision, writing–review and editing. C.D. House: Conceptualization, resources, formal analysis, supervision, funding acquisition, validation, methodology, writing–original draft, project administration, writing–review and editing.
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Associated Data
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Supplementary Materials
Data Availability Statement
The data generated in this study are available upon request from the corresponding author.