- 1Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
- 2Department of Graduate School, Dalian Medical University, Dalian, China
- 3Medical Oncology Department of Gastrointestinal Cancer, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
- 4Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
Ovarian cancer is the leading cause of gynecologic cancer-related deaths. Emerging research has revealed a close relationship between circular RNAs (circRNAs) and ovarian cancer development, metastasis, and prognosis. The objective of our research was to further explore the relationship between circASH2L and ovarian cancer. Quantitative real-time polymerase chain reaction was used to detect the differential expression of circRNAs between normal ovaries and ovarian cancer tissues. The impact of circASH2L on the proliferation, invasion, and tumorigenicity of ovarian cancer cells was evaluated using gain- and loss-of-function experiments. The molecular mechanisms of circASH2L function were investigated using bioinformatics analysis, RNA fluorescence in situ hybridization, western blots, and dual-luciferase reporter assays. The results showed that circASH2L was remarkably upregulated in ovarian cancer. The invasion and growth of ovarian cancer cells were suppressed by circASH2L knockdown in vitro, and downregulation of circASH2L restrained both angiogenesis and lymphangiogenesis of tumor xenografts in vivo. Furthermore, circASH2L was mostly distributed in the cytoplasm, where it competes with vascular endothelial growth factor A (VEGFA) for binding to miR-665. These findings indicate that circASH2L has an oncogenic function in ovarian cancer. In conclusion, circASH2L plays a critical role in regulating ovarian cancer cell tumorigenesis, angiogenesis, and lymphangiogenesis through the miR-665/VEGFA axis and, therefore, is a possible candidate target for ovarian cancer treatment.
Introduction
Ovarian carcinoma is the sixth most commonly diagnosed cancer among women in the world, as well as the second most frequent gynecologic malignancy and the most fatal tumor of the human female reproductive system (Szajnik et al., 2016; Zhan et al., 2018). Over 75% of affected women are diagnosed at advanced stages of the disease (Zhang L. et al., 2019). Less than one third of late-stage patients survive 5 years after diagnosis (Bonnefond et al., 2015; Ricci et al., 2016). Most patients develop metastatic disease after surgery and intensive platinum–taxane chemotherapy (Hollis et al., 2019; Rose et al., 2019). Further investigation of the molecular mechanism underlying the progression of ovarian cancer for the identification of novel therapeutic targets is urgently needed.
Circular RNA (circRNA) is a type of endogenous RNA that forms a covalently closed continuous loop structure without a 5′-cap or a 3′-poly A tail (Wang et al., 2019c; Wei et al., 2020). Owing to its structure, circRNA is more stable than linear RNA and can be resistant to exonucleolytic RNA decay (Si et al., 2019; Liu T. et al., 2020). CircRNA is involved in the regulation of many diseases by interacting with disease-associated microRNA (miRNA) as a competing endogenous RNA (ceRNA) (Wang et al., 2018; Zhang Y. et al., 2019; Li H. et al., 2020). Furthermore, circRNAs may be good biological markers for diagnosis and prognosis of disease, and possibly successful therapeutic targets (Zhuang et al., 2017; Fu et al., 2018; Ye et al., 2019).
Vascular endothelial growth factors (VEGFs), including VEGFA, VEGFB, VEGFC, VEGFD, VEGFE, and placental growth factor, are very important mediators of lymphangiogenesis and angiogenesis during tumor development (Pang et al., 2017; Mesquita et al., 2018; Yang et al., 2018). VEGFs and their receptors (VEGFRs) are targets of anti-angiogenic cancer therapy (Tugues et al., 2011). All members of the VEGF family are characterized by the presence of a common homology domain and are further composed of isoforms with various functions in the human body. VEGFs generally bind to three tyrosine kinase receptors: VEGFR-1, VEGFR-2 [kinase domain receptor (KDR)], and VEGFR-3 [Fms-related tyrosine kinase 4 (FLT4)]. VEGFR-1 and KDR are mostly distributed on the surface of tumor blood vessel endothelium and regulate the generation of tumor blood vessels. FLT4 is mostly distributed on the surface of the lymphatic endothelium and regulates the generation of tumor lymphangion (de Santa Pau et al., 2009; Detoraki et al., 2009; Zhang et al., 2014). Several studies have shown that VEGFA is involved in the pathophysiology of ovarian cancer. For example, Jang et al. (2017) reported that VEGFA activates an epigenetic pathway that upregulates ovarian cancer-initiating cells. Wang and his colleagues (Wang et al., 2019a) reported that the tumorigenicity and progression of ovarian cancer were promoted by circRhoC, which functions as a miR-302e sponge to positively regulate VEGFA.
In this study, the impact of circASH2L on the proliferation, invasion, lymphangiogenesis, and angiogenesis of ovarian cancer was analyzed both in vivo and in vitro. We found that circASH2L competes with VEGFA for binding to miR-665 to play an oncogenic role in ovarian cancer.
Materials and Methods
Clinical Specimens and Cell Lines
Fifty ovarian cancer tissue samples and their corresponding adjacent normal tissues were obtained from the Liaoning Cancer Hospital & Institute. None of the patients underwent radiotherapy or chemotherapy before surgery. The relationship between circASH2L expression and clinical features (n = 50) is shown in Table 1. Our study was approved by the Ethics Committee of Liaoning Cancer Hospital & Institute. Each patient provided written informed consent.
Human ovarian cancer cell lines (A2780, TOV112D, OVCAR-3, and SKOV3) and a normal human ovarian cell line (ISOE80) were obtained from the American Type Culture Collection (Manassas, VA, United States).
Lentivirus and Short Hairpin (sh)RNA Transfection
We ordered the lentiviral vector system, shRNAs, and empty vectors from GeneChem (Shanghai, China). Oligonucleotides for mimics, inhibitors, and negative control were obtained from RiboBio (Guangzhou, China). The miR-665 mimics and inhibitor were purchased from the same company. After culturing for 1 day, cells were transfected with plasmids. After 2 days, the cells were harvested, and their RNA was extracted.
Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR)
After centrifugation at 4°C, isopropanol precipitates were harvested at 20–25°C from the upper aqueous phase, rinsed, and dried. Subsequently, we added DEPC-treated water and calculated the concentration of RNA in each sample. RNA was stored at −80°C. We generated cDNA using the OneStep PrimeScript® miRNA cDNA Synthesis Kit (Takara, Dalian, China), per the manufacturer’s instructions. We utilized the SYBR Green I fluorescence method to conduct PCR detection. Primer sequences are provided in Supplementary Table S1. The relative RNA concentrations of the samples were calculated using 2–ΔΔCt.
RNase R Digestion
We added three units of RNase R (Epicenter Biotechnologies, Madison, WI, United States) per 1 μg circASH2L and incubated the mixture at 37°C for 15 min. Next, we conducted qRT-PCR to evaluate the levels of GAPDH and circASH2L.
Cell Counting Kit-8 Assay
Cell proliferation was assessed using the Cell Counting Kit-8 (Beyotime Institute of Biotechnology, Shanghai, China). Briefly, we seeded cells into 96-well plates and transfected them with appropriate plasmids and controls. We used a microplate reader (Bio-Rad, Hercules, CA, United States) (absorbance wavelength, 450 nm) to assess cell proliferation.
Ethynyl-2-Deoxyuridine (EdU) Incorporation Assay
Cell proliferation was also assessed using an EdU incorporation assay. Briefly, after transfecting cells with plasmids, 100 μL of 50 μM EdU/well was added and the cells were incubated for 2 h at 37°C. We used fluorescence microscopy to determine proliferation.
Transwell Invasion Assays
Transwell inserts (8 μm pore size; Costar, Richmond, VA, United States) were employed to determine the potential of cell invasion. Cells (5 × 104/L) were resuspended in 200 μL serum-free medium, then placed into the upper chamber coated with Matrigel (BD Biosciences, Franklin Lakes, NJ, United States). Afterward, 600 μL of complete medium was added to the lower chamber. After 48 h at 37°C, cells that remained on the upper filter surface were removed. After being fixed with formaldehyde and stained with crystal violet, cells that invaded the bottom surface of the filter were counted.
Western Blotting
We prepared, electrophoresed, and transferred total cell lysates onto nitrocellulose membranes. They were then blocked and incubated with primary antibodies against VEGFA (ab52917), KDR (ab5473), and FLT4 (ab154079) at 4°C overnight. Subsequently, they were incubated with the corresponding secondary antibodies (all antibodies were from Abcam, Shanghai, China).
RNA Fluorescence in situ Hybridization (FISH)
RNA FISH (RiboTM Fluorescent in situ Hybridization Kit, RiboBio) was used to assess the subcellular localization of circASH2L RNA in ovarian cancer cells. A circASH2L probe labeled with the FAM fluorescent dye was used. We carried out RNA FISH and captured the images.
Dual-Luciferase Reporter Assays
Before cloning into the pRL-TK plasmid vector (Promega, WI, United States), wild-type circASH2L, or wild-type VEGFA, with miR-665 binding sites or mutant sequences with deleted binding sites, were established and amplified. Subsequently, HEK-293T cells were seeded and co-transfected with the luciferase plasmids (0.1 μg/well), and miR-665 mimics or controls. Two days later, firefly and Renilla luciferase activities were measured.
Tumor Xenograft Implantation Into Nude Mice
Four-week-old female athymic BALB/c nude mice were used. Animal studies were implemented under the guidelines of the Use Committee for Animal Care. We transfected SKOV3 cells (1 × 107/ml) with sh-circASH2L or sh-non-sense control (NC), then injected them subcutaneously into the right flanks of the mice. Tumors were measured every 7 days post-injection. Tumor volumes were calculated (as a rotational ellipsoid) using length × width2 × 0.5. Four weeks later, the mice were anesthetized with 40 mg sodium pentobarbital and then sacrificed by 10% formalin perfusion fixation of the central nervous system. Death was confirmed by complete stoppage of the heartbeat and breathing, as well as disappearance of the foot withdrawal reflex. Tumor tissues were isolated and weighed. Tumors were collected for immunohistochemistry and western blot analyses.
Tube Formation Assay
A tube formation assay was used to determine the in vitro angiogenic activity of human umbilical vein endothelial cells (HUVECs). A significant angiogenic property of HUVECs is capillary tube formation on Matrigel. After transfection, HUVECs were serum-starved in endothelial basal medium (United States) with 0.2% bovine serum albumin for 24 h. After harvesting, HUVECs (8 × 104 cells) were seeded into a 12-well plate coated with Matrigel (BD Biosciences). Using a computer-assisted microscope (Nikon), we observed tube formation after 8 h of incubation. Tube formation was defined as a structure with a length four times its width. We selected 10 random microscopic fields and took images of the tube morphology at 100 × magnification. Using LAS software (Leica), we determined the number of tubes.
Immunohistochemistry
Paraffin-embedded formalin-fixed tissues were cut into 4-μm-thick sections and processed for immunohistochemistry using rabbit anti-mouse LYVE-1 and rat anti-mouse CD34 (Abcam). The Poly-Horseradish Peroxidase Detection System and 3,3′-diaminobenzidine (Zhongshan Biotechnology, Beijing, China) were used to detect immunoreactivity.
Statistical Analyses
Student’s t or the χ2 test were used to assess the statistical significance of differences using data from 3 independent experiments. Data are presented as means ± standard deviation. Statistical significance was set at p < 0.05. All statistical tests were performed using SPSS version 19.0 software (IBM, Chicago, IL, United States).
Results
CircASH2L Expression Is Elevated in Ovarian Cancer Tissues and Cell Lines
Increasing evidence has shown that circRNAs, such as circASH2L (Chen et al., 2019), circHIPK3 (Wang et al., 2019b), circMET (Pei et al., 2020), circATXN1 (Liu X. et al., 2020), circZNF566 (Li S. et al., 2020), circFMN2 (Shan et al., 2020), circCYFIP2 (Lin et al., 2020), and circWHSC1 (Zong et al., 2019), have essential functions in cancer biology and are potential biomarkers and treatment targets. We determined the expression of the eight star circRNAs in ovarian cancer and found that circASH2L was the only one expressed differently in our samples (Figure 1A). The qRT-PCR results of 50 pairs of ovarian cancer samples and corresponding non-tumor tissue showed that circASH2L was obviously increased in ovarian cancer tissues (Figure 1B). We also confirmed that the circASH2L sequence, amplified by the primer, matched the sequence of Circbase that was derived from Sanger sequencing (Figure 1C). The details of circASH2L and its primer-designing are outlined in Figure 1D. Total RNA was then treated with RNase R to verify the circular nature of circASH2L. The data revealed that circASH2L was indeed a circRNA and could not be digested by RNase R (Figure 1E). As shown in Figure 1F, circASH2L expression was significantly higher in ovarian cancer cell lines (A2780, TOV112D, OVCAR-3, and SKOV3) than in normal human cells (ISOE80).
Figure 1. High expression of circASH2L in ovarian cancer. (A) 8 different circRNAs including circASH2L in ovarian cancer tissue and paired non-tumor tissue counterparts. (B) circASH2L was elevated in 50 pairs ovarian cancer tissues. (C) Sanger sequencing of circASH2L. (D) Schematic outlining the details of circASH2L and its primer-designing details. (E) RNase R digestion was used to verify the circular nature of circASH2L. (F) Relative expression of circASH2L in ovarian cancer cell lines and ISOE80 cells by qRT-PCR. Data represent the mean ± SD. **p < 0.01; ***p < 0.001.
CircASH2L Enhances the Invasion and Proliferation of Ovarian Cancer Cells
We investigated whether circASH2L modulated the development of ovarian cancer cells. First, we tested the transfection efficiency of sh-circASH2L in SKOV3 cells, and circASH2L overexpression in A2780 and ISOE80 cells (Figure 2A and Supplementary Figure S1A). We then used CCK-8, EdU, and transwell assays to assess the abilities of these cell to proliferate and invade. The proliferation of SKOV3 cells was suppressed by circASH2L knockdown, and its overexpression increased the proliferation of A2780 cells (Figures 2B,C). Meanwhile, we found that overexpression of circASH2L promotes ISOE80 cell proliferation (Supplementary Figure S1B). In addition, circASH2L knockdown inhibited the invasion of SKOV3 cells, while its overexpression enhanced the invasion of A2780 cells (Figure 2D). Altogether, these results demonstrated that circASH2L enhanced ovarian cancer cell proliferation and invasion in vitro.
Figure 2. CircASH2L promotes the growth and invasion of ovarian cancer cells. (A) Transfection effectiveness of circASH2L shRNAs in SKOV3 cells and circASH2L overexpression in A2780 cells. (B) The proliferation of ovarian cancer cells was detected by CCK-8 assay. (C) The proliferation of ovarian cancer cells was detected by EdU assay. (D) The invasion of ovarian cancer cells was detected by transwell assay. Data represent the mean ± SD of 3 independent experiments; *p < 0.05; **p < 0.01; ***p < 0.001.
CircASH2L Promotes VEGFA Expression by Binding to miR-665
We investigated the mechanism of circASH2L functions in ovarian cancer. RNA FISH showed that most circASH2L was localized to the cytoplasm, whereas little was found in the nucleus (Figure 3A).
Figure 3. CircASH2L enhances VEGFA expression by binding to miR-665. (A) Representative images of the subcellular localization of circASH2L by RNA-FISH in SKOV3 cells. (B) Evaluating the correlation of circASH2L and VEGFA expression in ovarian cancer tissues by Pearson’s correlation coefficient. (C) The expression level of VEGFA in ovarian cancer tissues. (D) The effect of circASH2L knockdown or overexpression on the expression of VEGFA in ovarian cancer cells by western blotting. (E) Bioinformatics analysis with starBase 3.0 and Circinteractome. (F) The level of miR-361-3p, miR-665, and miR-1286 in ovarian cancer tissues. (G) The level of miR-665 in ovarian cancer tissues and corresponding non-tumor tissues. (H,I) The binding sites and dual-luciferase reporter assay. (J) The transfection efficiency of miR-665 mimics in A2780 cells and miR-665 inhibitor in SKOV3 cells. (K) The effect of miR-665 on the expression of VEGFA in ovarian cancer cells. (L) The effect of miR-665 inhibitor and sh-circASH2L on the expression of VEGFA in ovarian cancer cells by western blotting. Data represent the mean ± SD of 3 independent experiments. *p < 0.05; **p < 0.01; ***p < 0.001.
Previous studies found that VEGFA played a role in the pathophysiological process of ovarian cancer (Shathasivam et al., 2017; Lu et al., 2018). We investigated whether circASH2L affected ovarian cancer by regulating VEGFA expression. We used qRT-PCR and western blotting assays to characterize the molecular mechanisms of circASH2L-mediated biological processes. The levels of circASH2L were positively correlated with VEGFA expression in ovarian cancer samples (Figure 3B). QRT-PCR results of 50 patients showed that VEGFA mRNA expression was markedly higher in ovarian cancer samples than in paired non-tumor tissue (Figure 3C). Western blotting indicated that knockdown of circASH2L suppressed VEGFA protein expression and increased circASH2L expression promoted VEGFA expression (Figure 3D).
Bioinformatics analyses were performed using starBase 3.0 and Circinteractome, and revealed the intersection. Specifically, miR-361-3p, miR-665, and miR-1286 had putative binding sites with both circASH2L and VEGFA (Figure 3E). Using qRT-PCR, levels of the 3 miRNAs were determined in ovarian cancer tissues. Only miR-665 was differentially expressed between cancer and normal tissues, and its expression in cancer tissues was low (Figure 3F). We also used 50 pairs of tissues from ovarian cancer patients to determine that miR-665 was expressed at remarkably lower levels in ovarian cancer than paired non-tumor tissues (Figure 3G). The relative expression levels of circASH2L, miR-665, and VEGFA in these paired tissues are shown in Supplementary Table S2.
Bioinformatics evaluation revealed that the miR-665 seed sequence was complementary to sequences in the 3′-untranslated regions of both VEGFA and circASH2L (Figure 3H). The results of the dual-luciferase reporter assay showed that luciferase activity in 293T cells was inhibited both the VEGFA Wt + miR-665 mimic and the circASH2L Wt + miR-665 mimic groups, while luciferase activity was not affected in the VEGFA Mut + miR-665 mimic or the circASH2L Mut + miR-665 mimic groups (Figure 3I). The transfection efficiency of the miR-665 mimic in A2780 cells, and the miR-665 inhibitor in SKOV3 cells, is shown in Figure 3J. The miR-665 mimic decreased the VEGFA protein level, while the miR-665 inhibitor increased this level (Figure 3K). Knocking down miR-665 reversed the inhibition of VEGFA induced by knockdown of circASH2L (Figure 3L). These data suggested that circASH2L could bind to miR-665 to regulate VEGFA expression through a ceRNA mechanism.
Overexpression of VEGFA Reverses the Effects of sh-circASH2L on Ovarian Cancer Cells
We next assessed whether circASH2L affected the proliferation and invasion of ovarian cancer cells through a VEGFA-dependent mechanism. VEGFA overexpression significantly reversed the circASH2L knockdown-induced reduction in SKOV3 cells (Figures 4A,B). At the same time, VEGFA overexpression reversed the circASH2L knockdown-induced reduction of KDR and FLT4 expression in SKOV3 cells (Figure 4B). Moreover, VEGFA overexpression significantly reversed the inhibition of proliferation and invasion induced by circASH2L knockdown in SKOV3 cells (Figures 4C,D). These data demonstrated that circASH2L affected the growth and invasion of ovarian cancer cells in a VEGFA-dependent manner.
Figure 4. VEGFA overexpression reverses the circASH2L knockdown-induced inhibition of proliferation and invasion of ovarian cancer cells. (A) The effect of sh-circASH2L and VEGFA on the RNA level of VEGFA. (B) The effect of sh-circASH2L and VEGFA on the protein level of VEGFA, KDR, and FLT4. (C) The effect of sh-circASH2L and VEGFA on the cell proliferation in SKOV3 cell line. (D) The effect of sh-circASH2L and VEGFA on the cell invasion in SKOV3 cell line. Data represent the mean ± SD of 3 independent experiments; **p < 0.01, ***p < 0.001, ns: no statistical significance.
Knocking Down CircASH2L Curbs the Growth, Lymphangiogenesis, and Angiogenesis of Tumors in a Mouse Model of Ovarian Cancer
A xenograft experiment was conducted with SKOV3 cells to investigate the impact of circASH2L shRNA on tumor cell growth in vivo. The xenograft tumors are shown in Figure 5A. Mice treated with sh-circASH2L exhibited decreased tumor volume and weight compared to those treated with sh-NC (Figures 5B,C). Western blot results indicated that sh-circASH2L decreased the protein levels of VEGFA, KDR, and FLT4 (Figure 5D). In sh-circASH2L-treated mice, the Ki-67 level was significantly reduced compared to that in the sh-NC group, as indicated by immunohistochemical staining (Figure 5E).
Figure 5. Sh-circASH2L hinders the tumor growth, lymphangiogenesis, and angiogenesis. (A) Xenograft tumors of ovarian cancer. (B) Tumor volumes of the sh-circASH2L and sh-NC treatment groups. (C) Tumor weights. (D) CircASH2L knockdown reduces VEGFA, KDR, and FLT4 expression in vivo. (E) CircASH2L knockdown reduces the expression of Ki67 in the xenograft tumors of ovarian cancer. (F) CircASH2L knockdown inhibits angiogenesis and lymphangiogenesis in vivo. (G) The in vitro angiogenesis of HUVECs. (H) The protein level of VEGFA, KDR, and FLT4 in HUVECs after transfection. **p < 0.01.
To analyze lymphangiogenesis and angiogenesis of tumors, samples were assessed by immunohistochemical staining with anti-LYVE-1 and anti-CD34 antibodies. Compared with sh-NC, sh-circASH2L-treated groups showed remarkable reductions in blood vessels and lymphangions (Figure 5F).
We also investigated whether the downregulation VEGFA induced by sh-circASH2L affected tube formation. Sh-NC-transfected HUVECs formed well-organized capillary-like structures (Figure 5G). However, tube-forming activity was significantly weakened in the sh-circASH2L group (Figure 5G), similar to the KDR and FLT4 small interfering (si)RNA transfection groups (Supplementary Figures S2A–D). Finally, we examined the protein levels of VEGFA, FLT4, and KDR in HUVECs after transfection. Western blots showed that the VEGFA, FLT4, and KDR levels in sh-circASH2L-transfected HUVECs were significantly reduced compared to the sh-NC-transfected HUVECs (Figure 5H).
These outcomes indicated that knockdown of circASH2L remarkably suppressed tumor progression in vivo, and sh-circASH2L appears to regulate tumorigenesis by inhibiting VEGFA-mediated lymphangiogenesis and angiogenesis.
Discussion
CircRNA research has been increasing in recent years, and there is substantial evidence to show that circRNA is a tumor-related factor that regulates gene expression in different cells. Therefore, the expression eight circRNAs that were reported to be closely related to cancers was assessed in ovarian cancer and paired non-tumor tissues by qRT-PCR. CircASH2L was selected as the research object because it was highly expressed in tumor compared to normal tissues. Cell function assays were performed to verify circASH2L functions in ovarian cancer, and showed that it functioned as an oncogene, enhancing the proliferation and invasion of ovarian cancer cells.
Some studies have shown that VEGFA promotes tumor cell proliferation and angiogenesis (Guan et al., 2019), and VEGFA is closely related to ovarian cancer (Sopo et al., 2019). We investigated whether circASH2L played a role in ovarian cancer by regulating VEGFA. In this study, the qRT-PCR, western blot assays, bioinformatics analyses, and the dual-luciferase reporter assay showed that circASH2L competes with VEGFA for binding to miR-665, thereby playing an oncogenic role in ovarian cancer. Finally, we performed a xenograft experiment and in vitro angiogenesis assays, and found that sh-circASH2L inhibited tumor growth, VEGFA-mediated angiogenesis, and lymphangiogenesis in vivo and in vitro. Jang et al. (2017) found that VEGFA stimulated ovarian cancer stem-like cells through Src-DNMT3A-driven miR-128-2 methylation and Bmi1 upregulation. The research of Cybulski et al. (2012) indicated that elevated expression of cyclin I and KDR was likely to provide a proliferative advantage to human epithelial ovarian cancer cells. Meanwhile, KDR silencing by siRNA suppressed epithelial ovarian cancer invasion (Wang et al., 2009). Furthermore, Chen et al. (2019) found that circ-ASH2L promoted tumor progression by sponging miR-34a to regulate Notch1 in pancreatic ductal adenocarcinoma. Whether miR-34a/Notch1 is also regulated by circASH2L in ovarian cancer needs further study.
In conclusion, this research demonstrated that circASH2L is overexpressed in ovarian cancer tissues and cell lines. Regulating the miR-665/VEGFA axis as a ceRNA, circASH2L promotes cell proliferation, invasion, VEGFA-mediated angiogenesis, and lymphangiogenesis to play an oncogenic role in ovarian cancer (Figure 6).
Figure 6. Hypothetical model of the circASH2L stimulate roles in ovarian cancer cells and endothelial cells. CircASH2L enhances VEGFA expression by operating as a miRNA sponge and sequestering miR-665 away from VEGFA mRNA. The protein level of VEGFA, KDR, and FLT4 increase, thereby, enhancing the proliferation and invasion of ovarian cancer cells and promoting the angiogenesis and lymphangiogenesis.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics Statement
The animal study was reviewed and approved by the Ethics Committee of Liaoning Cancer Hospital & Institute.
Author Contributions
JZ made prosperous contributions to conception and design. JC and XL performed the experiments. JC wrote the draft manuscript. LY analyzed the data. ML and YZ made collection of data. All authors made contributions to the examination of the manuscript, and approved the final manuscript for submission.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2020.595585/full#supplementary-material
Abbreviations
circRNA, circular RNA; miR, microRNA; shRNA, short hairpin RNA; qRT-PCR, quantitative real-time polymerase chain reaction; EdU, ethynyl-2-deoxyuridine; VEGFA, vascular endothelial growth factor A; FISH, fluorescent in situ hybridization; ceRNA, competing endogenous RNA.
References
Bonnefond, M. L., Lambert, B., Giffard, F., Abeilard, E., Brotin, E., Louis, M. H., et al. (2015). Calcium signals inhibition sensitizes ovarian carcinoma cells to anti-Bcl-xL strategies through Mcl-1 down-regulation. Apoptosis 20, 535–550. doi: 10.1007/s10495-015-1095-3
Chen, Y., Li, Z., Zhang, M., Wang, B., Ye, J., Zhang, Y., et al. (2019). Circ-ASH2L promotes tumor progression by sponging miR-34a to regulate Notch1 in pancreatic ductal adenocarcinoma. J. Exp. Clin. Cancer Res. 38:466. doi: 10.1186/s13046-019-1436-0
Cybulski, M., Jarosz, B., Nowakowski, A., Jeleniewicz, W., Seroczynski, P., and Mazurek-Kociubowska, M. (2012). Cyclin I correlates with VEGFR-2 and cell proliferation in human epithelial ovarian cancer. Gynecol. Oncol. 127, 217–222. doi: 10.1016/j.ygyno.2012.06.038
de Santa Pau, E. C., Arias, F. C., Caso Pelaez, E., Munoz Molina, G. M., Sanchez Hernandez, I., Muguruza Trueba, I., et al. (2009). Prognostic significance of the expression of vascular endothelial growth factors A, B, C, and D and their receptors R1, R2, and R3 in patients with nonsmall cell lung cancer. Cancer 115, 1701–1712. doi: 10.1002/cncr.24193
Detoraki, A., Staiano, R. I., Granata, F., Giannattasio, G., Prevete, N., de Paulis, A., et al. (2009). Vascular endothelial growth factors synthesized by human lung mast cells exert angiogenic effects. J. Allergy Clin. Immunol. 123, 1142–1149, 1149.e1–1149.e5. doi: 10.1016/j.jaci.2009.01.044
Fu, B., Zhang, A., Li, M., Pan, L., Tang, W., An, M., et al. (2018). Circular RNA profile of breast cancer brain metastasis: identification of potential biomarkers and therapeutic targets. Epigenomics 10, 1619–1630. doi: 10.2217/epi-2018-0090
Guan, J., Darb-Esfahani, S., Richter, R., Taube, E. T., Ruscito, I., Mahner, S., et al. (2019). Vascular endothelial growth factor receptor 2 (VEGFR2) correlates with long-term survival in patients with advanced high-grade serous ovarian cancer (HGSOC): a study from the Tumor Bank Ovarian Cancer (TOC) Consortium. J. Cancer Res. Clin. Oncol. 145, 1063–1073. doi: 10.1007/s00432-019-02877-4
Hollis, R. L., Carmichael, J., Meynert, A. M., Churchman, M., Hallas-Potts, A., Rye, T., et al. (2019). Clinical and molecular characterization of ovarian carcinoma displaying isolated lymph node relapse. Am. J. Obstet. Gynecol. 221, 245.e1–245.e15. doi: 10.1016/j.ajog.2019.04.035
Jang, K., Kim, M., Gilbert, C. A., Simpkins, F., Ince, T. A., and Slingerland, J. M. (2017). VEGFA activates an epigenetic pathway upregulating ovarian cancer-initiating cells. EMBO Mol. Med. 9, 304–318. doi: 10.15252/emmm.201606840
Li, H., Xu, J. D., Fang, X. H., Zhu, J. N., Yang, J., Pan, R., et al. (2020). Circular RNA circRNA_000203 aggravates cardiac hypertrophy via suppressing miR-26b-5p and miR-140-3p binding to Gata4. Cardiovasc. Res. 116, 1323–1334. doi: 10.1093/cvr/cvz215
Li, S., Weng, J., Song, F., Li, L., Xiao, C., Yang, W., et al. (2020). Circular RNA circZNF566 promotes hepatocellular carcinoma progression by sponging miR-4738-3p and regulating TDO2 expression. Cell Death Dis. 11:452. doi: 10.1038/s41419-020-2616-8
Lin, J., Liao, S., Li, E., Liu, Z., Zheng, R., Wu, X., et al. (2020). circCYFIP2 acts as a sponge of miR-1205 and affects the expression of its target gene E2F1 to regulate gastric cancer metastasis. Mol. Ther. Nucleic Acids 21, 121–132. doi: 10.1016/j.omtn.2020.05.007
Liu, T., Ye, P., Ye, Y., Lu, S., and Han, B. (2020). Circular RNA hsa_circRNA_002178 silencing retards breast cancer progression via microRNA-328-3p-mediated inhibition of COL1A1. J. Cell Mol. Med. 24, 2189–2201. doi: 10.1111/jcmm.14875
Liu, X., Shen, S., Zhu, L., Su, R., Zheng, J., Ruan, X., et al. (2020). SRSF10 inhibits biogenesis of circ-ATXN1 to regulate glioma angiogenesis via miR-526b-3p/MMP2 pathway. J. Exp. Clin. Cancer Res. 39:121. doi: 10.1186/s13046-020-01625-8
Lu, T., Wu, B., Yu, Y., Zhu, W., Zhang, S., Zhang, Y., et al. (2018). Blockade of ONECUT2 expression in ovarian cancer inhibited tumor cell proliferation, migration, invasion and angiogenesis. Cancer Sci. 109, 2221–2234. doi: 10.1111/cas.13633
Mesquita, J., Castro-de-Sousa, J. P., Vaz-Pereira, S., Neves, A., Passarinha, L. A., and Tomaz, C. T. (2018). Vascular endothelial growth factors and placenta growth factor in retinal vasculopathies: current research and future perspectives. Cytokine Growth Factor Rev. 39, 102–115. doi: 10.1016/j.cytogfr.2017.11.005
Pang, V., Bates, D. O., and Leach, L. (2017). Regulation of human feto-placental endothelial barrier integrity by vascular endothelial growth factors: competitive interplay between VEGF-A165a, VEGF-A165b, PIGF and VE-cadherin. Clin. Sci. 131, 2763–2775. doi: 10.1042/CS20171252
Pei, X., Chen, S. W., Long, X., Zhu, S. Q., Qiu, B. Q., Lin, K., et al. (2020). circMET promotes NSCLC cell proliferation, metastasis, and immune evasion by regulating the miR-145-5p/CXCL3 axis. Aging 12, 13038–13058. doi: 10.18632/aging.103392
Ricci, J. W., Lovato, D. M., Severns, V., Sklar, L. A., and Larson, R. S. (2016). Novel ABCG2 antagonists reverse topotecan-mediated chemotherapeutic resistance in ovarian carcinoma xenografts. Mol. Cancer Ther. 15, 2853–2862. doi: 10.1158/1535-7163.MCT-15-0789
Rose, P. G., Java, J. J., Salani, R., Geller, M. A., Secord, A. A., Tewari, K. S., et al. (2019). Nomogram for predicting individual survival after recurrence of advanced-stage, high-grade ovarian carcinoma. Obstet. Gynecol. 133, 245–254. doi: 10.1097/AOG.0000000000003086
Shan, G., Shao, B., Liu, Q., Zeng, Y., Fu, C., Chen, A., et al. (2020). circFMN2 sponges miR-1238 to promote the expression of LIM-homeobox gene 2 in prostate cancer cells. Mol. Ther. Nucleic Acids 21, 133–146. doi: 10.1016/j.omtn.2020.05.008
Shathasivam, P., Kollara, A., Spybey, T., Park, S., Clarke, B., Ringuette, M. J., et al. (2017). VEPH1 expression decreases vascularisation in ovarian cancer xenografts and inhibits VEGFA and IL8 expression through inhibition of AKT activation. Br. J. Cancer 116, 1065–1076. doi: 10.1038/bjc.2017.51
Si, C., Wang, J., Ma, W., Hua, H., Zhang, M., Qian, W., et al. (2019). Circular RNA expression profile in human fibroblast premature senescence after repeated ultraviolet B irradiations revealed by microarray. J. Cell Physiol. 234, 18156–18168. doi: 10.1002/jcp.28449
Sopo, M., Anttila, M., Hamalainen, K., Kivela, A., Yla-Herttuala, S., Kosma, V. M., et al. (2019). Expression profiles of VEGF-A, VEGF-D and VEGFR1 are higher in distant metastases than in matched primary high grade epithelial ovarian cancer. BMC Cancer 19:584. doi: 10.1186/s12885-019-5757-3
Szajnik, M., Czystowska-Kuzmicz, M., Elishaev, E., and Whiteside, T. L. (2016). Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma. Expert Rev. Mol. Diagn. 16, 811–826. doi: 10.1080/14737159.2016.1194758
Tugues, S., Koch, S., Gualandi, L., Li, X., and Claesson-Welsh, L. (2011). Vascular endothelial growth factors and receptors: anti-angiogenic therapy in the treatment of cancer. Mol. Aspects Med. 32, 88–111. doi: 10.1016/j.mam.2011.04.004
Wang, F. Q., Barfield, E., Dutta, S., Pua, T., and Fishman, D. A. (2009). VEGFR-2 silencing by small interference RNA (siRNA) suppresses LPA-induced epithelial ovarian cancer (EOC) invasion. Gynecol. Oncol. 115, 414–423. doi: 10.1016/j.ygyno.2009.08.019
Wang, H., Xiao, Y., Wu, L., and Ma, D. (2018). Comprehensive circular RNA profiling reveals the regulatory role of the circRNA-000911/miR-449a pathway in breast carcinogenesis. Int. J. Oncol. 52, 743–754. doi: 10.3892/ijo.2018.4265
Wang, L. L., Zong, Z. H., Liu, Y., Guan, X., Chen, S., and Zhao, Y. (2019a). CircRhoC promotes tumorigenicity and progression in ovarian cancer by functioning as a miR-302e sponge to positively regulate VEGFA. J. Cell Mol. Med. 23, 8472–8481. doi: 10.1111/jcmm.14736
Wang, S., Hu, Y., Lv, X., Li, B., Gu, D., Li, Y., et al. (2019b). Circ-0000284 arouses malignant phenotype of cholangiocarcinoma cells and regulates the biological functions of peripheral cells through cellular communication. Clin. Sci. 133, 1935–1953. doi: 10.1042/CS20190589
Wang, S., Xia, P., Zhang, L., Yu, L., Liu, H., Meng, Q., et al. (2019c). systematical identification of breast cancer-related circular RNA modules for deciphering circRNA functions based on the non-negative matrix factorization algorithm. Int. J. Mol. Sci. 20:919. doi: 10.3390/ijms20040919
Wei, J., Wei, W., Xu, H., Wang, Z., Gao, W., Wang, T., et al. (2020). Circular RNA hsa_circRNA_102958 may serve as a diagnostic marker for gastric cancer. Cancer Biomark 27, 139–145. doi: 10.3233/CBM-182029
Yang, J. G., Wang, L. L., and Ma, D. C. (2018). Effects of vascular endothelial growth factors and their receptors on megakaryocytes and platelets and related diseases. Br. J. Haematol. 180, 321–334. doi: 10.1111/bjh.15000
Ye, Y. L., Yin, J., Hu, T., Zhang, L. P., Wu, L. Y., and Pang, Z. (2019). Increased circulating circular RNA_103516 is a novel biomarker for inflammatory bowel disease in adult patients. World J. Gastroenterol. 25, 6273–6288. doi: 10.3748/wjg.v25.i41.6273
Zhan, L., Li, J., and Wei, B. (2018). Long non-coding RNAs in ovarian cancer. J. Exp. Clin. Cancer Res. 37, 120. doi: 10.1186/s13046-018-0793-4
Zhang, L., Zhou, Q., Qiu, Q., Hou, L., Wu, M., Li, J., et al. (2019). CircPLEKHM3 acts as a tumor suppressor through regulation of the miR-9/BRCA1/DNAJB6/KLF4/AKT1 axis in ovarian cancer. Mol. Cancer 18:144. doi: 10.1186/s12943-019-1080-5
Zhang, Y., Yu, F., Bao, S., and Sun, J. (2019). Systematic characterization of circular RNA-associated CeRNA network identified novel circRNA biomarkers in Alzheimer’s disease. Front. Bioeng. Biotechnol. 7:222. doi: 10.3389/fbioe.2019.00222
Zhang, Y., Lu, Y., Ma, L., Cao, X., Xiao, J., Chen, J., et al. (2014). Activation of vascular endothelial growth factor receptor-3 in macrophages restrains TLR4-NF-kappaB signaling and protects against endotoxin shock. Immunity 40, 501–514. doi: 10.1016/j.immuni.2014.01.013
Zhuang, Z. G., Zhang, J. A., Luo, H. L., Liu, G. B., Lu, Y. B., Ge, N. H., et al. (2017). The circular RNA of peripheral blood mononuclear cells: Hsa_circ_0005836 as a new diagnostic biomarker and therapeutic target of active pulmonary tuberculosis. Mol. Immunol. 90, 264–272. doi: 10.1016/j.molimm.2017.08.008
Keywords: circASH2L, ceRNA, VEGFA, ovarian cancer, tumorigenesis, angiogenesis
Citation: Chen J, Li X, Yang L, Li M, Zhang Y and Zhang J (2020) CircASH2L Promotes Ovarian Cancer Tumorigenesis, Angiogenesis, and Lymphangiogenesis by Regulating the miR-665/VEGFA Axis as a Competing Endogenous RNA. Front. Cell Dev. Biol. 8:595585. doi: 10.3389/fcell.2020.595585
Received: 17 August 2020; Accepted: 02 November 2020;
Published: 19 November 2020.
Edited by:
Hongcang Gu, Broad Institute, United StatesReviewed by:
Chang Sung, Texas A&M University-Kingsville, United StatesJiantao Shi, Shanghai Institute of Biochemistry and Cell Biology (CAS), China
Copyright © 2020 Chen, Li, Yang, Li, Zhang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jingru Zhang, jrzhang_lnszl@163.com