INTRODUCTION
Ovarian cancer (OC) is reported to be the third commonest gynecological malignant tumor in the world1. The approaches currently adopted for OC treatment include surgery, cytotoxic chemotherapy, and radiotherapy2. In the last decades, standard treatments for OC have contributed to the improvement in the outcome for OC patients. Nonetheless, the occurrence of acquired drug resistance and metastasis usually results in adverse prognosis in patients at advanced stage3. Thus, exploration of novel OC-related biomarkers is important for OC diagnosis and target therapy.
Long non-coding RNA (lncRNA) refers to a poorly conserved endogenous RNA with over 200 nucleotides4. Previous research has verified that lncRNAs are key players in modulating malignant behaviors of cancer cells, such as cell growth, apoptosis, migration, and invasiveness5,6. Emerging evidence has demonstrated the significance of lncRNAs in regulating OC tumorigenesis7,8. LncRNA PITPNA-AS1 is a relatively novel lncRNA and is aberrantly expressed in diverse human cancers9,10. Silenced PITPNA-AS1 restrains the epithelial-mesenchymal transition (EMT) process, metastasis, and proliferation of lung cancer cell lines through binding with miR-32-5p11. PITPNA-AS1 aggravates the malignant processes in hepatocellular carcinoma by abrogating the repressive impact of miR-223-3p on WNT5A12. PITPNA-AS1 facilitates the tumorigenicity of cervical cancer via modulating cell cycle and apoptosis13. Nevertheless, research on PITPNA-AS1 is still quite limited and the significance of PITPNA-AS1 in OC biological process remains unclear. Different from the tumor-promoting role of PITPNA-AS1 in other types of cancer, PITPNA-AS1 is predicted to be downregulated in ovarian serous cystadenocarcinoma, the most common histological subtype of OC, based on bioinformatics analysis. According to RNA-seq of tissue-specific genes in normal tissues collected from human individuals (source: NCBI database-gene), PITPNA-AS1 shows a high expression level in normal ovarian samples, while its expression in other normal human organs such as lung, stomach, and liver is relatively low. That may explain why previous studies reported that PITPNA-AS1 acts as a tumor promoter in lung cancer, gastric cancer, and hepatocellular carcinoma but PITPNA-AS1 is predicted to have anti-tumor potential in OC according to bioinformatics analysis. The present work was designed to reveal the role of PITPNA-AS1 in regulating OC cell activities.
LncRNA can participate the regulation of cancer occurrence acting as a competing endogenous RNA (ceRNA) to competitively bind to microRNA and elevate messenger RNA (mRNA) level14. Mounting studies showed that lncRNAs modulate OC tumorigenesis through the ceRNA network. For example, lncRNA KTN1-AS1 promotes OC cell growth and metastasis by upregulating the oncogenic gene ZNF326 via interaction with miR-505-3p15. LncRNA HCG18 binds with miR-29a/b to elevate TRAF4/TRAF5 level, thereby contributing to the migratory ability and EMT process of epithelial OC16. LncRNA GAS5 inhibits the invasive capacity of OC cells by regulating miR-96-5p and PTEN as a ceRNA17. The ceRNA networks mediated by PITPNA-AS1 in other types of cancer were confirmed; however, whether PITPNA-AS1 can regulate OC cell activities through ceRNA mechanism remains unclarified.
In this study, functional experiments were applied to determine the biological significance of PITPNA-AS1 in OC. In addition, ceRNA pattern mediated by PITPNA-AS1 in OC was investigated. The findings might provide a new clue in improving the therapeutic methods for OC.
METHODS
Tissue sampling
OC tissue samples (n = 24) and healthy samples (n = 24) were obtained from patients with OC at the hospital. The ethics committee of the hospital approved the protocol, and informed consents were obtained from all participants. No participants had received cancer therapy before admission. After surgery, the tissue samples were kept at -80ºC in a freezer.
In situ hybridization
The collected tissues were embedded in paraffin and then dewaxed, rehydrated, and digested with protease K. Next, the samples were rinsed with phosphate-buffered saline (PBS). The in situ hybridization kit (Boster, Wuhan, China) was utilized to evaluate PITPNA-AS1 expression in clinical tissues. In brief, the buffer containing the probe of PITPNA-AS1 (BersinBio, Guangzhou, China) was added to the samples for 12 h of incubation at 65°C. The coverslip was then washed with PBS and fixed with 4% paraformaldehyde.
Cell lines and cell culture
IOSE80, a normal ovarian epithelial cell line, and three human OC cell lines (OVCAR-3, SK-OV-3, and CaoV-3) were obtained from ATCC. All cells were incubated in DMEM (Invitrogen, USA) containing 10% fetal bovine serum and 1% antibiotics (penicillin and streptomycin) in moist atmosphere at 37°C with 5% CO2.
Transfection
The pcDNA vectors containing full sequence of PITPNA-AS1 were used for amplifying PITPNA-AS1 level in OC cells, with the empty pcDNA vector as the control. Ras homolog family member B (RHOB) expression was silenced by short hairpin RNA targeting RHOB (sh-RHOB#1/2) and the negative control (NC) plasmid was named sh-NC. The plasmids of miR-223-3p mimics were used for miR-223-3p overexpression, with the control plasmid named NC mimics. All plasmids were obtained from GenePharma (Shanghai, China). For cell transfection, OVCAR-3 and SK-OV-3 cells were transfected with these plasmids using Lipofectamine 2000 (Invitrogen, Carlsbad, USA) for 48 h as instructed.
RT-qPCR
TRIzol reagent (Takara, Japan) was employed for extraction of the total RNA from OC samples and cells. RNA (5 µg) was used to reverse transcribe cDNAs utilizing a cDNA Synthesis Kit (Sangon, Biotech). The qPCR was conducted with the FastStart Universal SYBR Green Master Kit (4913850001; Roche, Switzerland) on the ABI RT-PCR System (ABI, Foster City, USA). RNA level was calculated with 2-∆∆Ct method. PITPNA-AS1 and mRNA expression were normalized to GAPDH level, while miRNA expression was normalized to U6.
Western blotting
Proteins in OC cells were obtained using RIPA buffer (P0013B, Beyotime, China). The BCA method was used for the determination of protein concentration. Protein contents were fractionated by 10% SDS-PAGE and then were loaded onto PVDF membranes. Afterward, these membranes were blocked using 5% fat-free milk for 1 hr and then incubated with anti-E-cadherin (#ab40772, 1:1000; Abcam, USA), anti-N-cadherin (#ab245117; 1:1000), anti-Vimentin (#ab8978, 1:1000), anti-RHOB (#ab155149; 1:500) and GAPDH (#ab9485; 1:2500) overnight at 4°C. Then the secondary antibody was incubated with the membranes at 37°C for 2 h without light exposure. ECL Kit (#P0018AS, Beyotime) was employed to visualize the immunoblots, and ImageJ software was utilized for quantification.
Colony forming assay for cell proliferation determination
For the colony forming assay, indicated OC cells (3 × 103) were plated on 6-well plates. The colony containing over 50 cells was considered as a significant one. Cells were cultured for 2 weeks and then fixed with 100% methanol for 30 min. Next, cells were dyed with 0.1% crystal violet solution (1 mL). During cell culture, fresh medium was provided every 3 days. Images of colonies were obtained using an Epson scanner GT-X970 (Epson, Japan).
TUNEL staining for cell apoptosis detection
OC cells were fixed by paraformaldehyde (4%) after PBS washing. After that, 1% Triton X-100 was utilized for cell permeabilization on ice for 2 min. Next, TUNEL test solution (50 μL) was used to treat the cells for 1 h. Cell nuclei were dyed with DAPI solution. Finally, a microscope was used to capture the images of the representative sections.
Transwell assay for cell migration evaluation
Transwell inserts (8 μm pore size; Corning, USA) were utilized for cell migration determination. The upper chamber was added with OC cells cultured in FBS-free RPMI. The medium with 10% FBS was placed to the lower chamber. Cells were cultured for 24 h followed by PBS washing and were fixed with 4% paraformaldehyde for 10 min. Finally, crystal violet (0.05%) was utilized to stain the migrated cells (passed through the membranes of the upper chamber) for 15 min. Images were taken with a light microscope (Olympus).
Luciferase reporter assay
The wild-type or mutated sequences of PITPNA-AS1 or RHOB 3' UTR were subcloned to pmirGLO reporters (Promega, USA) for the establishment of pmirGLO-PITPNA-AS1-Wt/Mut or pmirGLO-PITPNA-AS1-Wt/Mut. The established vectors were co-transfected with miR-223-3p mimics or NC mimics into OC cells. Lipofectamine 2000 was applied to perform the transfection. At 48 h post-transfection, a luciferase reporter assay system was used to examine the luciferase activities.
RNA pulldown assay
Biotinylated PITPNA-AS1-Wt/-Mut and the biotinylated control (Bio-NC) were obtained from Sangon (Shanghai, China) followed by cell transfection for 24 h. Next, cell lysate was prepared and incubated with the Dynabeads (Thermo Fisher Scientific, USA) for 15 min. RNA on the beads was quantified by RT-qPCR.
RNA immunoprecipitation assay
Magna RNA Immunoprecipitation Kit (Millipore) was applied to the assay. In brief, cell lysates were incubated with anti-Ago2 antibody (1:30, #ab186733, Abcam) precoated on the magnetic beads, with anti-IgG (1:16, #ab182931) antibody as the control group. RNA in the precipitates was analyzed by qPCR.
Subcellular fraction assay
The nuclear and cytoplasmic parts were separated using NE-PER Nuclear and Cytoplasmic Extraction Reagents (Thermo Scientific) as instructed. Then, PITPNA-AS1, GAPDH (cytoplasmic control), and U6 (nuclear control) were extracted from the nuclear and cytoplasmic parts using TRIzol (Invitrogen) and subjected to qPCR.
Fluorescence in situ hybridization (FISH)
Subcellular distribution of PITPNA-AS1 was also detected using fluorescence in situ hybridization (FISH) according to previously introduced methods18. In brief, after 4% paraformaldehyde treatment and PBS washing, OC cell permeabilization on ice was performed using PBS with 0.5% Triton X-100 for 5 min. Then, OC cells were incubated with PITPNA-AS1 probes (RiboBio, Guangzhou, China) in hybridization buffer at 37°C overnight. After DAPI staining, Olympus IX83 (Olympus, Japan) was used to capture the immunofluorescent images.
Statistical analysis
All experiments were conducted 3 times. Data analysis was performed using SPSS 13.0 and graphs were constructed by applying GraphPad Prism 5 (La Jolla, CA, USA). The collected data are shown as the mean ± SD. The significance of differences among groups was evaluated using Student´s t-test and ANOVA followed by Tukey´s post hoc test. Correlations between genes were identified by Spearman´s correlation analysis. p < 0.05 was deemed as the threshold for statistically significance.
RESULTS
PITPNA-AS1 showed low expression in ovarian cancer and correlated with poor outcome in patients
According to the GEPIA website (data source: TCGA)19, PITPNA-AS1 shows a low level in OC samples (Fig. 1A). To determine PITPNA-AS1 expression in OC, clinical samples were collected for analysis. The correlation between PITPNA-AS1 expression and the survival outcome of patients enrolled in the study was analyzed and shown in Fig. 1B. As can be seen from the plot, a low PITPNA-AS1 level was associated with poor survival probability while high PITPNA-AS1 expression predicted better survival outcome (Fig. 1B). In situ hybridization was performed to detect PITPNA-AS1 expression in tumor and normal samples collected from patients. Consistent with the results of bioinformatics analysis, our results showed that PITPNA-AS1 was downregulated in cancerous samples (Fig. 1C). According to results of RT-qPCR, a low PITPNA-AS1 level was detected in OC samples compared to that in healthy samples (Fig. 1D). In addition, a decreased PITPNA-AS1 level was shown in OC cells (OVCAR-3, CaoV-3, and SK-OV-3) compared to that in IOSE80 cells (Fig. 1E).
Overexpression of PITPNA-AS1 inhibited malignant behaviors of ovarian cancer cells
Then, pcDNA vectors containing PITPNA-AS1 sequence were transfected into OC cell line SK-OV-3 and OVCAR-3 to explore the role of PITPNA-AS1 in the regulation of OC cell process. Data indicated that PITPNA-AS1 expression was successfully increased after pcDNA-PITPNA-AS1 transfection (Fig. 2A). Colony forming assays delineated that PITPNA-AS1 impaired the proliferative ability of OC cells (Fig. 2B). TUNEL staining was applied to evaluate apoptosis, and the results manifested that the rate of apoptotic OC cells was elevated after overexpressing PITPNA-AS1 (Fig. 2C and D). According to Transwell assays, PITPNA-AS1 overexpression greatly weakened OC cell migration (Fig. 2E). In addition, PITPNA-AS1 hampered the EMT process in OC cells by declining Vimentin and N-cadherin protein levels while upregulating E-cadherin protein level (Fig. 2F).
PITPNA-AS1 interacted with miR-223-3p in ovarian cancer cells
Afterward, the regulatory mechanisms mediated by PITPNA-AS1 in OC were explored. First, a cellular fractionation assay was required for determining the location of PITPNA-AS1 in OC cells, and the results revealed that PITPNA-AS1 was predominantly distributed in cytoplasm (Fig. 3A). In addition, FISH also verified that PITPNA-AS1 mostly existed in the cytoplasmic part of OC cells (Fig. 3B). These findings suggest that PITPNA-AS1 may regulate genes post-transcriptionally in OC. Subsequently, based on StarBase prediction20, three potential miRNAs having binding sites with PITPNA-AS1 were subjected to RNA pulldown assays. It was denoted that miR-223-3p gained the most obvious enrichment in Bio-PITPNA-AS1-Wt among all candidates (Fig. 3C). Furthermore, RT-qPCR illustrated that miR-223-3p was upregulated in OC cells and samples (Fig. 3D and E). A potential binding site of miR-223-3p to PITPNA-AS1 was displayed in Fig. 3F. MiR-223-3p level was obviously increased in OC cells after transfection with miR-223-3p mimics (Fig. 3G). It was discovered that miR-223-3p enhancement remarkably weakened the luciferase activity of wild-type PITPNA-AS1 vector, but the luciferase activity of mutant-type PITPNA-AS1 vector exhibited no obvious changes (Fig. 3H), validating the binding relationship of miR-223-3p and PITPNA-AS1. Moreover, data from Spearman´s correlation analysis manifested that PITPNA-AS1 was inversely associated with miR-223-3p in 24 OC samples (Fig. 3I).
MiR-223-3p targeted RHOB in ovarian cancer cells
Next, we resorted to Targetscan21 and identified the top 5 targets of miR-223-3p. It was discovered that elevated miR-223-3p level resulted in the most distinct reduction of RHOB expression in OC cells (Fig. 4A). In addition, the binding area between miR-223-3p and RHOB is conserved among many species (Fig. 4B), while the binding area between miR-223-3p and TBC1D17 (or FBXW7) is not conserved in some species, such as mouse, rat, rabbit, and cow (Supplementary Figure), a reason why it may be impossible to verify of the regulatory axis using animal experiments in the future. Therefore, the target RHOB was finally identified for the present study. The binding area, predicted with Targetscan, between miR-223-3p and RHOB is shown in Fig. 4C. The luciferase activity of RHOB-Wt plasmids was notably abated by overexpressed miR-223-3p, while that of RHOB-Mut was not efficiently altered, which demonstrated that miR-223-3p bound to RHOB (Fig. 4D). Moreover, overexpressing miR-223-3p declined RHOB mRNA expression and protein level in OC cells, as reflected in Fig. 4E and F. However, RHOB levels were surged in response to PITPNA-AS1 overexpression (Fig. 4G). This finding substantiated that RHOB was inversely regulated by miR-223-3p while being positively regulated by PITPNA-AS1 in OC cells. Furthermore, results from RNA immunoprecipitation assays validated that miR-223-3p, PITPNA-AS1, and RHOB were all enriched in the Ago2 pellet compared with those in the IgG control pellet (Fig. 4H), which revealed that miR-223-3p, PITPNA-AS1, and RHOB jointly formed the RNA-induced silencing complex and further confirmed the regulatory relation of the three players.
RHOB expression was decreased in ovarian cancer
RHOB expression was decreased in both OC tissues and cells (Fig. 5A and B) according to qPCR analyses, and the findings were in line with the conclusion generated from bioinformatics analysis (Fig. 5C). Moreover, Spearman´s correlation analysis showed the positive relationship between PITPNA-AS1 expression and RHOB level (Fig. 5D) as well as the inverse relation between miR-223-3p level and RHOB association (Fig. 5E) in 24 OC samples.
RHOB knockdown antagonized the inhibitory influence of PITPNA-AS1 interference on ovarian cancer cell activities
OC cell line OVCAR-3 was transfected with sh-RHOB to silence RHOB levels (Fig. 6A). In addition, the increase in RHOB protein level mediated by PITPNA-AS1 overexpression was countervailed by sh-RHOB (Fig. 6B). Then, data of colony forming assays revealed that RHOB deficiency abolished the prohibitory impact of PITPNA-AS1 overexpression on OVCAR-3 cell proliferation (Fig. 6C). TUNEL staining revealed that the enhancement of cell apoptotic ratio induced by PITPNA-AS1 was partly reversed by inhibiting RHOB level (Fig. 6D). Moreover, the inhibition of RHOB level countervailed the suppressive impact of PITPNA-AS1 interference on OVCAR-3 cell migration (Fig. 6E). Meanwhile, we observed that RHOB deficiency partially offset the suppression on EMT process induced by PITPNA-AS1, as evidenced by the alterations of EMT markers (Fig. 6F).
DISCUSSION
OC is a lethal gynecologic malignancy worldwide, seriously threatening the health of women22. Multiple investigations have verified the critical roles of lncRNAs in modulating OC. The biological significance of PITPNA-AS1 in OC has not been reported yet. Interestingly, it is discovered that PITPNA-AS1 serves as an oncogene in other cancer types. In this report, our results demonstrated that PITPNA-AS1 was downregulated in OC cells and samples. Moreover, PITPNA-AS1 mitigated OC cell malignancies by hindering cell proliferation, migration, EMT, and boosting cell apoptosis, indicating the anti-oncogenic function of PITPNA-AS1 in OC. Previous reports showed that lncRNA exerts different regulatory roles in accordance with their subcellular distribution23. In this study, it was found that PITPNA-AS1 is mainly distributed in the cytoplasmic part in OC cells.
MicroRNAs are also members of non-coding RNA family, and they have and estimated 22 nucleotides in length24,25. LncRNAs in the cytoplasm can regulate the stability and translation of downstream mRNAs by interacting with miRNAs according to ceRNA hypothesis26. In this work, miR-223-3p was validated to be targeted by PITPNA-AS1 in OC cell lines. The tumor-promoting impact of miR-223-3p in OC has been confirmed. MiR-223-3p was shown to target LARP4 and circBNC2 interacted with miR-223-3p to alter LARP4 expression in epithelial OC cells23. miR-223-3p is also implicated in the ceRNA network of circBNC2/miR-223-3p/FBXW727. Overexpressing miR-223-3p facilitates OC cell growth and migration by inversely regulating SOX1128. MiR-223-3p, in the present study, was also highly expressed in OC tissues and cells.
RHOB, also called ARH6, MST081, or RHOH6, can hamper cell survival and metastasis, and its level is commonly weakened in malignant progression29. The involvement of RHOB in the tumorigenesis of different cancers has been previously identified. For example, miR-223 facilitates gastric cancer progression by targeting RHOB26. The roles of miR-223 and RHOB in tumorigenesis are in line with our findings. In our paper, RHOB was observed to be a target of miR-223-3p (previously named miR-223) in OC cells. Furthermore, RHOB showed low expression in OC cells and samples and was positively regulated by PITPNA-AS1. Moreover, RHOB knockdown abolished the suppressive impact on OC cell process exerted by PITPNA-AS1. Furthermore, it was reported that RHOB inversely regulates the PI3K/Akt signaling and suppresses gemcitabine resistance in pancreatic cancer30. The signaling pathway mediated by the PITPNA-AS1/miR-223-3p/RHOB axis was not explored in this work but could be a direction for future investigations.
In conclusion, this study suggested that PITPNA-AS1 functioned as an anti-oncogene in OC cells. PITPNA-AS1 hampers cell proliferation, migration, and the EMT process, while promoting cell apoptotic rate by regulating the miR-223-3p/RHOB axis. This study first revealed the function of PITPNA-AS1 in OC and may expand the understanding of PITPNA-AS1 in tumorigenesis. PITPNA-AS1 might be a promising marker for targeted therapy and a potential predicator of treatment response in the future but there is a long way to go before its clinical application.