Literature DB >> 32801704

Nanoparticle BAF312@CaP-NP Overcomes Sphingosine-1-Phosphate Receptor-1-Mediated Chemoresistance Through Inhibiting S1PR1/P-STAT3 Axis in Ovarian Carcinoma.

Ke Gong1, Yang Dong1, Liting Wang1, Yi Duan2, Jian Yu1, Ying Sun1, Min Bai3, Yourong Duan1.   

Abstract

PURPOSE: Platinum/paclitaxel-based chemotherapy is the strategy for ovarian cancer, but chemoresistance, inherent or acquired, occurs and hinders therapy. Therefore, further understanding of the mechanisms of drug resistance and adoption of novel therapeutic strategies are urgently needed.
METHODS: In this study, we report that sphingosine-1-phosphate receptor-1 (S1PR1)-mediated chemoresistance for ovarian cancer. Then we developed nanoparticles with a hydrophilic PEG2000 chain and a hydrophobic DSPE and biodegradable CaP (calcium ions and phosphate ions) shell with pH sensitivity as a delivery system (CaP-NPs) to carry BAF312, a selective antagonist of S1PR1 (BAF312@CaP-NPs), to overcome the cisplatin (DDP) resistance of the ovarian cancer cell line SKOV3DR.
RESULTS: We found that S1PR1 affected acquired chemoresistance in ovarian cancer by increasing the phosphorylated-signal transduction and activators of transcription 3 (P-STAT3) level. The mean size and zeta potential of BAF312@CaP-NPs were 116 ± 4.341 nm and -9.67 ± 0.935 mV, respectively. The incorporation efficiency for BAF312 in the CaP-NPs was 76.1%. The small size of the nanoparticles elevated their enrichment in the tumor, and the degradable CaP shell with smart pH sensitivity of the BAF312@CaP-NPs ensured the release of BAF312 in the acidic tumor niche. BAF312@CaP-NPs caused substantial cytotoxicity in DDP-resistant ovarian cancer cells by downregulating S1PR1 and P-STAT3 levels.
CONCLUSION: We found that BAF312@CaP-NPs act as an effective and selective delivery system for overcoming S1PR1-mediated chemoresistance in ovarian carcinoma by inhibiting S1PR1 and P-STAT3.
© 2020 Gong et al.

Entities:  

Keywords:  antagonist of S1PR1; chemotherapy; cisplatin; nanoparticles; pH sensitivity

Mesh:

Substances:

Year:  2020        PMID: 32801704      PMCID: PMC7414939          DOI: 10.2147/IJN.S248667

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


Introduction

Ovarian cancer patients have no obvious symptoms at an early stage, which leads to diagnosis at an advanced or metastatic stage, at which point doctors mainly adopt standard surgery and platinum/paclitaxel-based chemotherapy.1–3 However, chemoresistance occurs due to inherent or acquired resistance, resulting in unsatisfactory results in ovarian cancer.4 Ovarian carcinoma is the most common cause of death in women due to its eventual resistance to chemotherapy.5 Thus, there is an urgent need to elucidate the underlying mechanisms of drug resistance and find novel potential therapeutic targets to overcome ovarian cancer. Platinum is a standard treatment for patients with ovarian cancer, and patients receiving platinum therapies tend to upregulate signal transduction and activators of transcription 3 (STAT3) activity.6–8 In addition, by analyzing the original The Cancer Genome Atlas (TCGA) ovarian cancer data, researchers found that Phosphorylated-signal transduction and activators of transcription 3 (P-STAT3) levels were increased in patients who had short survival compared with those in patients with longer survival.9 Previous studies have demonstrated that persistent activation of STAT3 leads to uncontrollable tumor proliferation as well as drug resistance in ovarian cancer.10,11 However, there seems to be intractable direct suppression of STAT3 activation in the clinic. STAT3 can be activated by multiple chemokines and cytokines;12 thus, blocking one pathway seems to be insufficient to effectively reverse P-STAT3-mediated drug resistance. A recent study demonstrated that STAT3-induced sphingosine-1-phosphate receptor-1 (S1PR1), a G protein-coupled receptor for sphingosine-1-phosphate (S1P), is crucial for persistent STAT3 activation in tumors,13–15 which suggests that targeting S1PR1 can be an effective way to downregulate the activation of STAT3. The sphingosine analogue BAF312 is a second-generation S1P receptor modulator approved by the United States Food and Drug Administration (FDA) for the treatment of relapsing multiple sclerosis.16 BAF312, as an analog of S1P and a ligand of S1PR1, competitively and selectively binds to S1PR1, thereby promoting the internalization and degradation of S1PR1.17,18 Previous studies have shown that S1PR1 degradation inhibits STAT3 activation and enhances the apoptosis of ovarian cancer cells.19 Studies have demonstrated that BAF312 (1 h at 1 μM) promotes significant internalization of the 91% of S1P1 receptors and downregulates S1PR1 expression.20 In addition, a previous study found that fingolimod (FTY720), the first-generation S1PR modulator, can resensitize chemoresistant ovarian cancer cells to cisplatin by downregulating S1PR1.21 The efficacy of BAF312 in reversing platinum-resistant ovarian cancer has not yet been evaluated in ovarian cancer. BAF312 is lipophilic, in order to prolong the blood retention time of the drug, reduce systemic toxicity and side effects in patients and increase the targeting of ovarian carcinoma and the enrichment degree at the tumor site, here, we used nanotechnology to develop DSPE-PEG2000-COOH-CaP (CaP-NPs) incorporating BAF312 as a delivery system to enhance therapeutic efficacy in chemoresistant ovarian cancer. CaP-NPs are considered a biocompatible carrier with added stability from PEG2000 and were approved by the FDA for use in humans;22 DSPE is the main component of cell membranes, and calcium phosphate (CaP) is an essential element for humans. BAF312-DSPE-PEG2000-COOH-CaP nanoparticles (BAF312@CaP-NPs) are synthesized via a repeatable biomineralization method in which hydrophobic DSPE encapsulating BAF312 forms the compact inner core and hydrophilic PEG2000 with calcium phosphate (CaP) forms the outer shell. BAF312@CaP-NPs have four main advantages: 1. PEG2000 facilitates the long-term circulation of nanoparticles in the human body;23 2. A particle size of 120 nm is conducive to enrichment in tumor sites through the EPR effect;24 3. The negative charge of the nanoparticles and their zeta potential of −10 mV help their long-term circulation, and the particles become positively charged in the acidic niche of the tumor, enabling them to be absorbed by tumor cells, as tumors tend to uptake positively charged particles;25,26 4. The calcium-phosphorus system is pH sensitive, which ensures the release of nanoparticles in the acidic tumor niche. In sum, our work shows that S1PR1 overexpression affects acquired resistance to chemotherapies in ovarian carcinoma by upregulating P-STAT3. Downregulating S1PR1 with BAF312 could be an effective method, and encapsulating BAF312 with nanotechnology can greatly improve strategies to overcome chemical resistance in ovarian cancer. Our work demonstrates that BAF312@CaP-NPs overcome chemoresistance by inhibiting S1PR1 and P-STAT3.

Materials and Methods

Cell Culture and Treatment

The human ovarian cancer cell line SKOV3 was purchased from the Shanghai Institute of Cell Biology at the China Academy of Sciences. Cells were cultured in DMEM supplemented with 10% fetal bovine serum and 1x penicillin-streptomycin at 37°C in a humidified 5% CO2 atmosphere.

Preparation of BAF312@CaP-NPs

1,2-Distearoyl-sn-glycero-3-phosphoethanolamine-N-[carboxy(polyethylene glycol)-2000] (DSPE-PEG2000-COOH) was purchased from Ponsure Biotechnology (Shanghai, China). Calcium chloride (CaCl2) and trisodium phosphate (Na3PO4) were purchased from Sigma-Aldrich (USA). BAF312 was purchased from Selleck (Shanghai, China). BAF312-loaded DSPE-PEG2000 micelles were made through thin-membrane hydration. Then, CaCl2 solution was added to the prepared micelle solution. Finally, HBS (Hepes, Na3PO4, and NaCl; pH 7.4) buffer solution was added into the BAF312-DSPE-PEG2000-Ca2+ solution quickly and allowed to incubate at room temperature for 30 min to form BAF312@CaP-NPs. The final concentration of BAF312 was 0.25 μM. To meet the demands of subsequent experiments, during the preparation of NPs, BAF312 was replaced by rhodamine B (Rb) (Beyotime, China) to prepare Rb@CaP-NPs.

Physical and Chemical Properties of BAF312@CaP-NPs

The Zetasizer IV analyzer (Malvern Zetasizer Nano ZS90, Malvern, UK) was used to evaluate the size and surface potential of BAF312@CaP-NPs. A Talos F200X transmission electron microscope (TEM) was used to confirm the morphology of BAF312@CaP-NPs. The encapsulation efficiency (EE%) and drug loading (DL%) of BAF312 in BAF312@CaP-NPs were determined by high-performance liquid chromatography (HPLC) (Agilent 1100, USA).

In vitro Release of BAF312 from BAF312@CaP-NPs

The release profiles of BAF312@CaP-NPs in vitro were measured using the dialysis assay. A solution containing BAF312@CaP-NPs was dialyzed against PBS buffer solution containing 10 M sodium salicylate at two different pH values (6.0 and 7.4).

Establishment of Drug-Resistant Cells

SKOV3 cells were treated with cisplatin (Sigma-Aldrich, USA) at concentrations ranging from 5 µM to 30 µM for up to 2 months; the resulting drug-resistant cells were named SKOV3DR cells. In addition, the parental cells were named SKOV3DP cells.

siRNA Transfection

siRNAs were incubated with cells and Lipofectamine 2000 in 6-well plates when the cells reached 70–80% confluence. Two siRNAs were synthesized by Ribo-Bio (Guangzhou, China). The siRNA sequences were as follows: negative control siRNA (siNC), ACGUGACACGUUCGGAGAATT; S1PR1-siRNA1, CGCCTCTTCCTGCTAATCA; and S1PR1-siRNA2, CGGTCTCTGACTACGTCAA.

In vitro Cytotoxicity Assay

Cells were collected in the logarithmic growth phase and seeded in 96-well plates at a density of 5000 cells per well. After they adhered to the plates overnight, the cells were treated with the indicated drugs at certain concentrations for 72 h. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) (Sigma, USA) was added to each well, and the cells were incubated at 37°C for 4 h. Then, the liquid was discarded, and Dimethyl sulfoxide (DMSO) (Sigma, USA) was added. The optical densities (ODs) were measured at a wavelength of 492 nm with a microplate reader (Thermo MultisKan FC, USA).

Apoptosis Assay

Cells were seeded in 6-well plates at a density of 5×105 cells per well overnight and treated with the indicated concentrations of the indicated drugs for 48 h. Cells were collected and detected by an Annexin V-PE apoptosis detection kit (Vazyme, China). Then, the cells were analyzed by flow cytometer (Becton Dickinson, Franklin Lakes, USA). Analysis of the results was carried out with FlowJo 6.0. Each assay was performed in triplicate.

Calcium and PI Dye Assays

Cells were seeded in 12-well plates at a density of 1×105 cells per well overnight, followed by incubation with the indicated drugs for 72 h. After washing with PBS three times, cells were stained with 1 mL 2.0 μM PI (Beyotime, China) and 2.0 μM calcium indicator (Beyotime, China) for 30 min, discarded and imaged (Olympus Corporation, Japan).

RNA Isolation and Semiquantitative RT-PCR

Relative mRNA expression in cells after treatment was determined by real-time quantitative RT-qPCR with 10 ng of RNA that was isolated from treated cells using a Total RNA Extract kit (Takara, Japan). cDNA was generated using a Reverse Transcription System kit (Takara, Japan). qRT-PCRs were performed using SYBR Green PCR Master Mix (Takara, Japan). The sequences of the primers used were as follows: S1PR1, 5′- GCCTCTTCCTGCTAATCAGCG-3′ (forward) and 5′- GCAGTACAGAATGACGATGGAG-3′ (reverse); and GAPDH, 5′- ATCAATGGAAATCCCATCACCA-3′ (forward) and 5′- GACTCCACGACGTACTCAGCG-3′ (reverse); Relative expression values were normalized to the control value to obtain percent fold changes, and each assay was performed in triplicate.

Western Blot Assay

Whole cells were collected after treatment with the indicated drugs for 48 h, and RIPA lysis buffer containing the protease inhibitor PMSF (Beyotime, China) and a phosphatase inhibitor cocktail (Beyotime, China) was added. The protein samples were separated on a 12% acrylamide gel and then transferred to PVDF membranes. After blocking with 10% (w/v) nonfat milk in TBS containing 0.1% (v/v) Tween 20, the PVDF membranes were incubated with certain primary antibodies at 4°C overnight and then incubated with horseradish peroxidase-conjugated secondary antibodies (Proteintech, USA). Mouse polyclonal antibodies against S1PR1, P-STAT3, and GAPDH were obtained from Santa Cruz Biotechnology (USA). Rabbit polyclonal antibodies against MRP1 and survivin were obtained from Cell Signaling Technology (USA).

Cellular Uptake Assay

Cells were collected and seeded onto coverslips at a density of 5×105 cells and allowed to adhere overnight, and then 20 µL of 1 mg/mL free Rb (Beyotime, China) and Rb@CaP-NPs were added and incubated for 1 h and 4 h. The cells were fixed with 4% (w/v) paraformaldehyde for 15 min, washed with PBS twice and counterstained with DAPI (Beyotime, China). Slides were mounted, and images were captured using a Zeiss LSM510 Meta inverted confocal microscope (Germany).

TCGA Data Analysis

S1PR1 expression and the related data in patients with ovarian cancer from the TCGA portal () were downloaded and analyzed. Information on the ovarian cancer patients included survival times. The selected ovarian cancer patients were assigned into two groups according to patient overall survival (OS). The mRNA expression and relationships with overall survival duration for the ovarian cancer patients were analyzed using GraphPad Prism 8.0 software.

Statistical Analysis

Data were analyzed by Student’s t-test using GraphPad Prism 8.0 software. P values < 0.05 were considered statistically significant.

Results

S1PR1 overexpression affects acquired resistance to chemotherapies in ovarian carcinoma by upregulating P-STAT3. We found that S1PR1 expression correlated with poor survival rates in ovarian cancer patients by analyzing the TCGA database (Figure 1A). In addition previous studies confirmed that S1PR1 enhances ovarian cancer progression19 and assists chemotherapy resistance in tumors,13 which suggests that S1PR1 acts as an oncogene in ovarian carcinoma and may be associated with chemoresistance in ovarian cancer. Given that DDP is the most widely used chemotherapy in ovarian cancer treatment and that there is no better model for resistance to the agent, we transformed SKOV3 ovarian cancer cells into cisplatin-resistant SKOV3DR cells by exposing them to escalating doses of DDP for 2 months. Figure 1B shows data confirming the successful generation of a DDP-resistant ovarian cancer cell line from the parental cells (resistance index for DDP: 5). In addition, the ABC family gene multidrug resistance protein 1 (MDR1), as a marker of drug efflux was evaluated to further confirm drug resistance in the DDP-resistant preclinical model (Figure 1C). We also tested the expression of S1PR1 as well as the phosphorylation of its downstream signaling molecule STAT3 in SKOV3DP and SKOV3DR cells at the protein level. Figure 1C shows that the S1PR1 and P-STAT3 levels were elevated in SKOV3DR cells. In addition, Zhang Het al analyzed the original TCGA ovarian cancer data and found that the P-STAT3 level was greatly enhanced in patients with shorter survival compared with those with longer survival,9 in accordance with the results of researchers who found that P-STAT3 was elevated in ovarian cancer to facilitate survival and promote drug resistance.10,11 To confirm the role of S1PR1 in drug resistance, S1PR1 was silenced in SKOV3DR cells by two different siRNAs (si1 and si2), and the changes in the mRNA and protein levels of S1PR1 were evaluated by qPCR and Western blot assays (Figure 1D and E). In addition, the protein levels of P-STAT3 were decreased in SKOV3DR cells expressing S1PR1 siRNA (Figure 1E), suggesting that the level of phosphorylation of STAT3 is positively associated with S1PR1 expression. MTT assays showed that knocking down S1PR1 led to a significant reversal of DDP resistance in SKOV3DR cells compared to administering the nontargeting siRNA control (Figure 1F).
Figure 1

S1PR1 is highly expressed in the DDP-resistant ovarian cancer cell line SKOV3DR and has a positive relationship with P-STAT3.

Notes: (A) TCGA database analysis of the relationship between S1PR1 expression and ovarian cancer patient survival. (B) MTT assay analysis of the viability of established ovarian cancer cell lines after treatment with DDP for 3 days. (C) Western blot analysis of the protein levels of S1PR1, P-STAT3, and MRP1 in SKOV3DP parental cells and SKOV3DR DDP-resistant ovarian cancer cells. (D) qPCR analysis of S1PR1 expression in SKOV3DR-siRNA cells. Mean ± SEM, n = 3, **P < 0.01, ***P < 0.001. (E) Western blot analysis of the protein levels of S1PR1 and P-STAT3 in SKOV3DR-siRNA cells. (F) MTT assay analysis of the viability of SKOV3DR-siRNA cells treated with DDP for 72 h.

S1PR1 is highly expressed in the DDP-resistant ovarian cancer cell line SKOV3DR and has a positive relationship with P-STAT3. Notes: (A) TCGA database analysis of the relationship between S1PR1 expression and ovarian cancer patient survival. (B) MTT assay analysis of the viability of established ovarian cancer cell lines after treatment with DDP for 3 days. (C) Western blot analysis of the protein levels of S1PR1, P-STAT3, and MRP1 in SKOV3DP parental cells and SKOV3DR DDP-resistant ovarian cancer cells. (D) qPCR analysis of S1PR1 expression in SKOV3DR-siRNA cells. Mean ± SEM, n = 3, **P < 0.01, ***P < 0.001. (E) Western blot analysis of the protein levels of S1PR1 and P-STAT3 in SKOV3DR-siRNA cells. (F) MTT assay analysis of the viability of SKOV3DR-siRNA cells treated with DDP for 72 h. BAF312 downregulates S1PR1, inhibits STAT3 activity and promotes the apoptosis of SKOV3DR cells to resensitize DDP-resistant ovarian cancer cells. We examined the effects of BAF312 (Figure 2A), a small-molecule selective antagonist of S1PR1, on SKOV3DR cells. Cells were pretreated with BAF312 at the indicated concentrations for 72 h and then incubated with MTT. Figure 2B shows that BAF312 effectively decreased SKOV3DR cell viability, and the half maximal inhibitory concentration (IC50) in SKOV3DR cells was 13.91 µM. Furthermore, BAF312 (at 10 µM) decreased the levels of S1PR1 and P-STAT3 in SKOV3DR cells (Figure 2C and D). We treated SKOV3DR-siS1PR1 cells with BAF312 and found that BAF312 barely inhibited the viability of SKOV3DR-siS1PR1 cells compared to that seen in cells administered the nontargeting siRNA control (Figure 2E), which further suggests that BAF312 selectively inhibits the viability of SKOV3DR cells by targeting S1PR1. Since downregulation of S1PR1 by BAF312 inhibits STAT3 activation, as STAT3 activation had previously been demonstrated to be associated with chemoresistance10,11 and S1PR1 had been found to be upregulated in cisplatin-resistant SKOV3DR cells, we next assessed whether BAF312 could restore sensitivity to cisplatin in SKOV3DR cells. We selected a concentration of cisplatin (5 µM) that did not alter cell growth in SKOV3DR cells after 72 h (Figure 2F) to assess the BAF312 (5 µM) effect. Apoptosis assays confirmed that BAF312 sensitized SKOV3DR cells to cisplatin (Figure 2G and H). These results suggest that BAF312 effectively inhibits the viability of SKOV3DR cells by downregulating S1PR1 and P-STAT3 and restores sensitivity to DDP in SKOV3DR cells.
Figure 2

BAF312 decreases S1PR1 and P-STAT3 levels and promotes apoptosis in SKOV3DR cells.

Notes: (A) The chemical structure of BAF312. (B) MTT assay analysis of the viability of SKOV3DR cell lines after treatment with BAF312 for 72 h. (C) qPCR analysis of S1PR1 expression in SKOV3DR cells following treatment with 10 µM BAF312 for 2 days. Mean ± SEM, n = 3, ***P < 0.001. (D) Western blot analysis of the protein levels of S1PR1 and P-STAT3 in SKOV3DR cells following treatment with 10 µM BAF312 for 2 days. (E) MTT assay analysis of the viability of SKOV3DR-siRNA cells treated with BAF312 for 72 h. (F) MTT assay analysis of the viability of SKOV3DR cells treated with the indicated concentrations of DDP for 72 h. Mean ± SEM, n=5, ns P>0.05. (G) Apoptosis assay analysis of the apoptotic ratio of SKOV3DR cell lines after incubation with 10 µM BAF312, 10 µM DDP, and 5 µM BAF312 + 5 µM DDP for 2 days. (H) The statistical results of the apoptotic ratio for SKOV3DR cells. Mean ± SEM, n = 3, **P < 0.01, ***P < 0.001.

BAF312 decreases S1PR1 and P-STAT3 levels and promotes apoptosis in SKOV3DR cells. Notes: (A) The chemical structure of BAF312. (B) MTT assay analysis of the viability of SKOV3DR cell lines after treatment with BAF312 for 72 h. (C) qPCR analysis of S1PR1 expression in SKOV3DR cells following treatment with 10 µM BAF312 for 2 days. Mean ± SEM, n = 3, ***P < 0.001. (D) Western blot analysis of the protein levels of S1PR1 and P-STAT3 in SKOV3DR cells following treatment with 10 µM BAF312 for 2 days. (E) MTT assay analysis of the viability of SKOV3DR-siRNA cells treated with BAF312 for 72 h. (F) MTT assay analysis of the viability of SKOV3DR cells treated with the indicated concentrations of DDP for 72 h. Mean ± SEM, n=5, ns P>0.05. (G) Apoptosis assay analysis of the apoptotic ratio of SKOV3DR cell lines after incubation with 10 µM BAF312, 10 µM DDP, and 5 µM BAF312 + 5 µM DDP for 2 days. (H) The statistical results of the apoptotic ratio for SKOV3DR cells. Mean ± SEM, n = 3, **P < 0.01, ***P < 0.001. Shell-Core Nanoparticles encapsulate BAF312. BAF312-DSPE-PEG2000-COOH-CaP nanoparticles (BAF312@CaP-NPs) were synthesized via a repeatable biomineralization method in which hydrophobic DSPE encapsulating BAF312 formed the compact inner core and hydrophilic PEG2000 with calcium phosphate (CaP) formed the outer shell (Figure 3A). TEM results showed that BAF312@CaP-NPs with the shell-core structure had a spherical appearance and were homogeneously dispersed in aqueous solution (Figure 3B). The diameter of the BAF312@CaP-NPs was 116 ± 4.341 nm with a PDI of 0.225 ± 0.009 in aqueous solution (Figure 3B). The stability of BAF312@CaP-NPs was evaluated by measuring the size of the NPs following incubation at 37°C in 5% serum solution (pH 7.4). The size and PDI of NPs showed nearly no change for seven days, suggesting the stability of NPs in the blood circulation (Figure 3C). In aqueous solution (pH 7.4), BAF312@CaP-NPs were negatively charged with a zeta potential of −9.67 ± 0.935 mV (Figure 3D). However, in the aqueous solution of pH 6.0, the NPs were slightly positively charged with a zeta potential of +12.5 ± 0.006 mV (). In addition, the drug loading (DL%) value was 12.68% for BAF312, and the encapsulation efficiency (EE%) value was 76.1% for BAF312, which suggests that it has few side effects and high therapeutic functions. The CaP serves as a pH sensor and enhanced the release of BAF312 in the acidic environment. The dialysis assay showed that BAF312 was released more quickly in a solution of pH 6.0 than in a solution of pH 7.4 (Figure 3E).
Figure 3

The formation and characterization of shell−core BAF312@CaP-NPs.

Notes: (A) The BAF312@CaP-NPs were prepared by the biomineralization method in which an organic DSPE-PEG2000 core encapsulates BAF312 followed by adsorption of CaP to the inorganic porous shell. (B) TEM showed BAF312@CaP-NPs with a shell-core spherical structure. The hydrodynamic size of BAF312@CaP-NPs was 116 ± 4.341 nm, with a PDI of 0.225 ± 0.009. (C) The average potential of BAF312@CaP-NPs in aqueous solution (pH 7.4) was −9.67 ± 0.935 mV. (D) The size and PDI of BAF312@CaP-NPs were evaluated for 6 days. (E) HPLC analysis of the release profiles of free-BAF312 and BAF312 from NPs at pH 6.0 and 7.4.

The formation and characterization of shell−core BAF312@CaP-NPs. Notes: (A) The BAF312@CaP-NPs were prepared by the biomineralization method in which an organic DSPE-PEG2000 core encapsulates BAF312 followed by adsorption of CaP to the inorganic porous shell. (B) TEM showed BAF312@CaP-NPs with a shell-core spherical structure. The hydrodynamic size of BAF312@CaP-NPs was 116 ± 4.341 nm, with a PDI of 0.225 ± 0.009. (C) The average potential of BAF312@CaP-NPs in aqueous solution (pH 7.4) was −9.67 ± 0.935 mV. (D) The size and PDI of BAF312@CaP-NPs were evaluated for 6 days. (E) HPLC analysis of the release profiles of free-BAF312 and BAF312 from NPs at pH 6.0 and 7.4. Nanoparticles enhance cellular uptake and greatly promote apoptosis by downregulating S1PR1 and inhibiting STAT3 activation. A prerequisite for an antitumor effect is that tumor cells can effectively internalize the drug. In this section, we follow the process of transporting core-shell nanoparticles into ovarian cancer cells via a fluorescence microscopy assay. BAF312 was replaced with the fluorescent dye Rb to create Rb@CaP-NPs, which could be used to track NPs in ovarian cancer cells. Under an inverted fluorescence microscope, the fluorescence intensities were observed as follows: free Rb group < Rb@CaP-NPs, indicating that NPs improve the internalization of the drugs (Figure 4A). The effects of BAF312@CaP-NPs were assessed using apoptosis experiments. In this study, the apoptotic rate of cisplatin-resistant SKOV3DR ovarian cancer cells was observed in the following order: control < CaP-NPs < BAF312 < BAF312@CaP-NPs (Figure 4B and C). Calcium indicator and PI staining analysis of apoptosis also indicated that BAF312@CaP-NPs effectively promoted the apoptosis of SKOV3DR cells (Figure 4D). The MTT assay was used to test the viability of SKOV3DR cells incubated with certain kinds of drugs for 12 h and 24 h in tumor niches of two different pH values (6.0 and 7.4). Figure 4E shows that NPs in the acidic niche tended to rapidly and significantly decrease the viabilities of SKOV3DR cells. The results suggested that BAF312@CaP-NPs greatly enhanced the cytotoxicity of BAF312 in the cisplatin-resistant ovarian carcinoma cell line SKOV3DR. Compared with BAF312 alone, BAF312@CaP-NPs showed a better ability to induce SKOV3DR cell apoptosis, which indicates the advantages of NPs in terms of pH sensitivity, modifiable voltage in the acidic tumor niche,26 and appropriate size, which were beneficial for passive tumor targeting through the enhanced permeability and retention (EPR) effect.24 As shown in Figure 4F, the levels of S1PR1, P-STAT3 and the anti-apoptosis protein survivin were evaluated by Western blotting. BAF312@CaP-NPs effectively inhibited S1PR1 and P-STAT3 and downregulated the expression of the apoptosis inhibitor survivin. These results confirm that BAF312@CaP-NPs indeed promote the apoptosis of cisplatin-resistant ovarian cancer cells by inhibiting S1PR1 and downregulating the phosphorylation of STAT3 protein. Figure 4G shows a schematic diagram of BAF312@CaP-NPs killing ovarian cancer cells.
Figure 4

BAF312@CaP-NPs dramatically boost the apoptosis of SKOV3DR cells by inhibiting S1PR1 and downregulating P-STAT3.

Notes: (A) Fluorescence microscopy analysis of the cellular uptake of tumor-targeted shell-core nanoparticles in SKOV3DR cell lines. (B) Apoptosis assay analysis of the apoptotic ratio of SKOV3DR cell lines after incubation with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 2 days. (C) The statistical results of the apoptotic ratio for SKOV3DR cells. Mean ± SEM, n = 3, ns P > 0.05, *P < 0.05, ***P < 0.001. (D) Calcium indicator and PI staining analysis of apoptosis in SKOV3DR cells following incubation with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 3 days. The red represents PI positivity, the green represents calcium positivity, and the yellow represents both PI and calcium positivity. (E) MTT assay analysis of the viability of SKOV3DR cells treated with BAF312 for 12 h and 24 h in pH 6.0 and pH 7.4 medium, respectively. (F) Western blot analysis of the protein levels of S1PR1, P-STAT3, and survivin in SKOV3DR cells following treatment with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 2 days. (G) Schematic diagram of BAF312@CaP-NPs killing ovarian cancer cells.

BAF312@CaP-NPs dramatically boost the apoptosis of SKOV3DR cells by inhibiting S1PR1 and downregulating P-STAT3. Notes: (A) Fluorescence microscopy analysis of the cellular uptake of tumor-targeted shell-core nanoparticles in SKOV3DR cell lines. (B) Apoptosis assay analysis of the apoptotic ratio of SKOV3DR cell lines after incubation with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 2 days. (C) The statistical results of the apoptotic ratio for SKOV3DR cells. Mean ± SEM, n = 3, ns P > 0.05, *P < 0.05, ***P < 0.001. (D) Calcium indicator and PI staining analysis of apoptosis in SKOV3DR cells following incubation with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 3 days. The red represents PI positivity, the green represents calcium positivity, and the yellow represents both PI and calcium positivity. (E) MTT assay analysis of the viability of SKOV3DR cells treated with BAF312 for 12 h and 24 h in pH 6.0 and pH 7.4 medium, respectively. (F) Western blot analysis of the protein levels of S1PR1, P-STAT3, and survivin in SKOV3DR cells following treatment with 10 µM BAF312, 10 µM BAF312@CaP-NPs and an equal amount of control CaP-NPs for 2 days. (G) Schematic diagram of BAF312@CaP-NPs killing ovarian cancer cells.

Discussion

Most ovarian cancer patients are sensitive to platinum- or taxane-based therapies; however, they subsequently tend to develop acquired drug resistance.1,4,5 Chemoresistance remains a barrier in the treatment of ovarian cancer. Early studies have demonstrated aberrant activity of STAT3 in ovarian cancers.6 Moreover, studies have elucidated that activated STAT3 levels are higher in ovarian tumors than in adjacent normal ovarian tissue.9 In addition, previous studies found that relatively high intracellular activated STAT3 levels induced chemoresistance.10,27 However, there is no available inhibitor for activated STAT3 in the clinic. Hence, targeting the activator of STAT3 could be a potent replacement. S1PR1 was found to be an activator of STAT3 in ovarian cancer cells.19 In addition, S1PR1 was also found to be overexpressed in ovarian cancer tissues compared with normal ovarian tissues.28,29 Taken together, these studies indicate that S1PR1 is a novel therapeutic target for ovarian cancer. In this study, we found that S1PR1 was overexpressed in SKOV3DR cells but not in SKOV3DP cells. Combined with previous studies that confirmed that targeting S1PR1 in ovarian cancer induces apoptosis, decreases cell viability, and reverses cisplatin resistance by inhibiting the activity of STAT3,13,15,19 these results suggest that S1PR1 could be a potent target for downregulating P-STAT3 and promoting apoptosis. The overexpression of S1PR1 in cisplatin-resistant ovarian cancer cells makes it an attractive target for neoadjuvant chemotherapy and shows its potential to be an independent target for deciphering the different contributions of cells in the tumor niche. Our work showed that downregulating S1PR1 in cisplatin-resistant ovarian cancer cells increased the sensitivity to cisplatin. Many studies have demonstrated that S1PR1 increases activated STAT3 levels via different mechanisms and would be predicted to have additive or synergistic effects.13–15 In addition, some works have proven that downregulating S1PR1 elicits anticancer activity by disrupting signaling pathways that regulate cell proliferation, angiogenesis and motility.30–32 Our work found that the sphingosine analogue BAF312, a selective inhibitor of S1PR1, could effectively decrease intracellular levels of activated STAT3 by decreasing S1PR1 and enhancing apoptosis and could be applied to effectively treat cisplatin-resistant ovarian cancer by downregulating S1PR1 and inhibiting STAT3 activity. These observations suggest that therapeutic regulation of sphingolipid metabolism to decrease activated STAT3 levels might be an effective approach for the treatment of ovarian tumors, and the data in this study are in accordance with this hypothesis. In vitro data demonstrate that BAF312 enhances the cytotoxicity of cisplatin in ovarian cancer cell lines with a known pattern of resistance to cisplatin. In addition, our work found that BAF312 + cisplatin exerts synergistic antiproliferative effects in vitro. This is the first preclinical evaluation of the efficacy of BAF312 + cisplatin in ovarian cancer. Specifically, with reference to ovarian cancer, in vitro BAF312 cytotoxicity is independent of sensitivity to cisplatin. We proposed that BAF312 might be effectively combined with cisplatin to overcome resistance to more conventional agents. In our study, we discovered that downregulation of S1PR1 using siRNA resulted in increased cisplatin sensitivity in cisplatin-resistant SKOV3DR cells in vitro. Our study, for the first time, demonstrates that targeting S1PR1 inhibits ovarian cancer cell viability and enhances the cisplatin sensitivity of cisplatin-resistant SKOV3DR cells. Because BAF312 selectively targets S1PR1 but not S1PR2, S1PR3, or S1PR4,16 we chose BAF312 to treat the cisplatin-resistant ovarian cancer cell line SKOV3DR. The results reveal that BAF312 diminishes the viability of cisplatin-resistant ovarian cancer cells at low drug concentrations. While the insoluble property of BAF312 limits its usage in ovarian cancer, we designed a drug delivery system by packaging BAF312 into nanoparticles with a PEG hydrophilic chain and degradable CaP (calcium ions and phosphate ions) shell with smart pH sensitivity (BAF312@CaP-NPs). The negative charge and proper size of the shell-core structure of BAF312@CaP-NPs ensure long-term circulation and effective penetration through the discontinuous tumor vasculature via EPR effects. In addition, the acidic niche of the tumor enabled the NPs to turn into positively charged NPs, which enhanced the uptake of NPs by tumor cells.25,26 These nanoparticles are biocompatible, have low toxicity, are biodegradable, and have low immunogenicity. In addition, using the nanoparticle packaging system avoids the dose-limiting toxicities inherent to drugs that travel through the blood. Current treatment for ovarian cancer patients leads to a high initial response rate, but most patients develop progressive resistance to disease within a few months of diagnosis.33–37 Therefore, there is an urgent need for alternative drugs to treat drug-resistant ovarian tumors. Our works suggest that novel nanoparticles BAF312@CaP-NPs deserve further evaluation for the treatment of this tumor type.

Conclusion

Our work found that S1PR1 affected acquired chemoresistance in ovarian cancer by increasing the P-STAT3 level. Further, we found that BAF312@CaP-NPs selectively targeted S1PR1 and greatly reduced the viability of S1PR1-mediated cisplatin-resistant ovarian cancer cells by inhibiting P-STAT3. We suggest that BAF312@CaP-NPs deserve further evaluation for the treatment of chemoresistance tumor type.
  35 in total

1.  Association of BRCA1 and BRCA2 mutations with survival, chemotherapy sensitivity, and gene mutator phenotype in patients with ovarian cancer.

Authors:  Da Yang; Sofia Khan; Yan Sun; Kenneth Hess; Ilya Shmulevich; Anil K Sood; Wei Zhang
Journal:  JAMA       Date:  2011-10-12       Impact factor: 56.272

Review 2.  Ovarian cancer.

Authors:  Gordon C Jayson; Elise C Kohn; Henry C Kitchener; Jonathan A Ledermann
Journal:  Lancet       Date:  2014-04-21       Impact factor: 79.321

3.  Acidic pH-responsive siRNA conjugate for reversible carrier stability and accelerated endosomal escape with reduced IFNα-associated immune response.

Authors:  Hiroyasu Takemoto; Kanjiro Miyata; Shota Hattori; Takehiko Ishii; Tomoya Suma; Satoshi Uchida; Nobuhiro Nishiyama; Kazunori Kataoka
Journal:  Angew Chem Int Ed Engl       Date:  2013-04-29       Impact factor: 15.336

4.  Sphingosine-1-phosphate links persistent STAT3 activation, chronic intestinal inflammation, and development of colitis-associated cancer.

Authors:  Jie Liang; Masayuki Nagahashi; Eugene Y Kim; Kuzhuvelil B Harikumar; Akimitsu Yamada; Wei-Ching Huang; Nitai C Hait; Jeremy C Allegood; Megan M Price; Dorit Avni; Kazuaki Takabe; Tomasz Kordula; Sheldon Milstien; Sarah Spiegel
Journal:  Cancer Cell       Date:  2012-12-27       Impact factor: 31.743

5.  Rucaparib in relapsed, platinum-sensitive high-grade ovarian carcinoma (ARIEL2 Part 1): an international, multicentre, open-label, phase 2 trial.

Authors:  Elizabeth M Swisher; Kevin K Lin; Amit M Oza; Clare L Scott; Heidi Giordano; James Sun; Gottfried E Konecny; Robert L Coleman; Anna V Tinker; David M O'Malley; Rebecca S Kristeleit; Ling Ma; Katherine M Bell-McGuinn; James D Brenton; Janiel M Cragun; Ana Oaknin; Isabelle Ray-Coquard; Maria I Harrell; Elaina Mann; Scott H Kaufmann; Anne Floquet; Alexandra Leary; Thomas C Harding; Sandra Goble; Lara Maloney; Jeff Isaacson; Andrew R Allen; Lindsey Rolfe; Roman Yelensky; Mitch Raponi; Iain A McNeish
Journal:  Lancet Oncol       Date:  2016-11-29       Impact factor: 41.316

6.  Role of eotaxin-1 signaling in ovarian cancer.

Authors:  Vera Levina; Brian M Nolen; Adele M Marrangoni; Peng Cheng; Jeffrey R Marks; Miroslaw J Szczepanski; Marta E Szajnik; Elieser Gorelik; Anna E Lokshin
Journal:  Clin Cancer Res       Date:  2009-04-07       Impact factor: 12.531

7.  Hyperactive EGF receptor, Jaks and Stat3 signaling promote enhanced colony-forming ability, motility and migration of cisplatin-resistant ovarian cancer cells.

Authors:  P Yue; X Zhang; D Paladino; B Sengupta; S Ahmad; R W Holloway; S B Ingersoll; J Turkson
Journal:  Oncogene       Date:  2011-09-12       Impact factor: 9.867

Review 8.  Improving conventional enhanced permeability and retention (EPR) effects; what is the appropriate target?

Authors:  Hisataka Kobayashi; Rira Watanabe; Peter L Choyke
Journal:  Theranostics       Date:  2013-12-11       Impact factor: 11.556

9.  The dual S1PR1/S1PR5 drug BAF312 (Siponimod) attenuates demyelination in organotypic slice cultures.

Authors:  Catherine O'Sullivan; Anna Schubart; Anis K Mir; Kumlesh K Dev
Journal:  J Neuroinflammation       Date:  2016-02-08       Impact factor: 8.322

10.  Weekly dose-dense chemotherapy in first-line epithelial ovarian, fallopian tube, or primary peritoneal carcinoma treatment (ICON8): primary progression free survival analysis results from a GCIG phase 3 randomised controlled trial.

Authors:  Andrew R Clamp; Elizabeth C James; Iain A McNeish; Andrew Dean; Jae-Weon Kim; Dearbhaile M O'Donnell; Jane Hook; Christopher Coyle; Sarah Blagden; James D Brenton; Raj Naik; Tim Perren; Sudha Sundar; Adrian D Cook; Gosala S Gopalakrishnan; Hani Gabra; Rosemary Lord; Graham Dark; Helena M Earl; Marcia Hall; Susana Banerjee; Rosalind M Glasspool; Rachel Jones; Sarah Williams; Ann Marie Swart; Sally Stenning; Mahesh Parmar; Richard Kaplan; Jonathan A Ledermann
Journal:  Lancet       Date:  2019-11-29       Impact factor: 79.321

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