MicroRNA-223-3p Regulates Ovarian Cancer Cell Proliferation and Invasion by Targeting SOX11 Expression.

MicroRNAs (miRNAs) often display different expression in many cancers and other diseases in current research studies. miR-223 expression is upregulated in rheumatoid arthritis. Also, miR-223 expression has been demonstrated to be highly expressed in pancreatic cancer and gastric cancer in comparison with normal tissue. However, whether miR-223 displays different expression in ovarian cancer and what its underlying functions are in ovarian cancer have remained unclear. In this study, we demonstrated that miR-223-3p was upregulated in ovarian cancer tissue. Next, we explored the functional role of miR-223-3p in ovarian cancer using SKOV3 and OVCAR3 cell lines. Our results suggested that miR-223-3p mimic promoted ovarian cancer cell proliferation, migration, and invasion in vitro. However, miR-223-3p inhibitor displayed the opposite effects. In addition, we demonstrated that miR-223-3p mimic promoted tumor growth in vivo. Furthermore, we found SOX11 (sex determining region Y-box 11) was inversely expressed with miR-223-3p in ovarian cancer (OC) cell lines and tissue specimens. miR-223-3p mimic decreased SOX11 expression. Overexpressing SOX11 inhibited ovarian cancer cell proliferation and invasion, which indicated that miR-223-3p regulated OC cell proliferation and invasion through targeting SOX11 expression. In conclusion, the findings of the present study demonstrated that miR-223-3p could be a potential therapeutic for ovarian cancer.

1. Introduction

Ovarian cancer is the most lethal of all gynecological tumors in the world [1,2]. Current treatments have significantly improved ovarian cancer patients’ quality of life, but the 5-year survival rate is still 35–38% [3,4] because of recurrence and metastasis. Therefore, finding the critical molecular mechanisms would improve therapy outcomes of patients with ovarian cancer.

MicroRNAs (miRNAs) are small non-coding RNAs. By base bounding to the 3′-untranslated region (3′UTR), miRNAs can regulate gene expression at the post-transcriptional level [5]. Studies revealed miRNAs are involved in many cell procedures such as growth, cycle, and development [6,7]. A sizeable amount of evidence demonstrates that miRNAs play important roles in tumor initiation, development, and progression. Therefore, targeting miRNAs may provide new therapeutic strategies for cancer [8,9]. Previous studies have reported that miRNAs are involved in ovarian cancer angiogenesis, oncogenesis, progression, and invasion [10,11]. Recent studies have demonstrated that miR-223 influences the biological progression of various cancer cells [12]. Through activating the Mef2c-β-catenin pathway, miR-223 affected the invasion of breast cancer cells [13]. In addition, miR-223 has been reported to reinforce prostate cancer cell biological behaviors [14], increase the proliferation and migration of gastric cancer cells [15], and display an oncogenic role in colorectal cancer cells [16]. However, the role and underlying mechanisms of miR-223-3p in ovarian cancer remain unknown. In the present study, we demonstrated that miR-223-3p is overexpressed in ovarian cancer tissues and cell lines. Our results suggest that downregulating miR-223-3p by a specific inhibitor suppressed ovarian cancer cell proliferation, migration, and invasion both in vitro and in vivo. miR-223-3p overexpression displayed contrary effects. Furthermore, we found miR-223-3p inhibitor increased gene sox11 (sex determining region Y-box 11) expression and overexpression of sox11 has negative effects on ovarian cancer cell proliferation, migration, and invasion. In conclusion, our data indicates that miR-223-3p has a potential therapeutic target role for ovarian cancer.

2. Results

2.1. miR-223-3p Was Upregulated in (Ovarian Cancer) OC Cell Lines and Tissue Specimens

As shown in Figure 1A, miR-223-3p expression was upregulated in ovarian cancer (OC) cell lines (SKOV3, OVCAR3, A2780, and ES2) compared to one normal ovarian cell line, HOSE. Furthermore, we detected the expression of miR-223-3p in 48 paired OC and adjacent normal ovarian tissues through quantitative real-time polymerase chain reaction (qRT-PCR). The expression of miR-223-3p in OC tissues was significantly higher than normal tissues (Figure 1B). In addition, the relationship between mR-223-3p expression and the clinical factors was analyzed. As the result show in Table 1, aberrant expression of miR-223-3p was linked with histological grade, lymph node metastasis, and FIGO (International Federation of Gynecology and Obstetrics) stage. These results imply that miR-223-3p might be involved in the progression of ovarian cancer.

Figure 1

miR-223-3p was upregulated in OC cell lines and tissue specimens. (A,B) The expression of miR-223-3p in ovarian cancer (OC) cell lines and tissue specimens was detected by quantitative real-time polymerase chain reaction (qRT-PCR) analysis. The data represent the mean ± SD (standard deviation) of three independent experiments with triplicates of each sample. * p < 0.05.

Table 1

Relationship between miR-223-3p expression and clinicopathological features in (ovarian cancer) OC tissues.

Variables	No. of Cases	miR-223-3p Expression		p Value
		Low	High
Age (years)
<55	20	8	12	0.772
≥55	28	10	18
Tumor size
≥5	18	4	14	0.127
<5	30	14	16
FIGO stage
III	20	14	6	0.0002
III–IV	28	4	24
Histological grading
1/2	20	12	8	0.014
3	28	6	22
Lymph node metastasis
No	23	14	9	0.002
Yes	25	4	21

FIGO (International Federation of Gynecology and Obstetrics).

2.2. miR-223-3p Regulated OC Cell Proliferation

miR-223-3p mimic/inhibitor was transfected into OC cell lines (SKOV3 and OVCAR3), respectively. miR-223-3p mimic increased miR-223-3p expression and miR-223-3p inhibitor decreased miR-223-3p expression, as detected by qRT-PCR (Figure 2A,B). As shown in Figure 2C,D, miR-223-3p mimic promoted cell viability of SKOV3 and OVCAR3 cells; conversely, miR-223-3p inhibitor significantly suppressed cell viability of both cell lines analyzed by CCK-8 (Cell Counting Kit-8) assay. Because Ki-67 and proliferating cell nuclear antigen (PCNA) are used as proliferative markers in ovarian cancer, as described in a previous study [17], we detected mRNA expression of Ki-67 and PCNA to explore the effects of miR-223-3p on OC cell proliferation. The mRNA level of Ki-67 and PCNA were significantly increased after ectopic overexpression of miR-223-3p in two OC cell lines (Figure 2E–H). On the other hand, knocking down miR-223-3p with miR-223-3p inhibitor decreased mRNA level of Ki-67 and PCNA, respectively (Figure 2E–H).

Figure 2

miR-223-3p regulated OC cell proliferation. (A,B) SKOV3 and OVCAR3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 24 h, respectively. Then, qRT-PCR analysis was performed. Relative miR-223-3p was shown; (C,D) SKOV3 and OVCAR3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 0, 24, 48, and 72 h. Cell viability was detected by CCK-8 assay; (E,G) SKOV3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 24 h. Relative Ki-67 mRNA expression was analyzed by qRT-PCR assay; (F,H) OVCAR3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 24 h. The relative proliferating cell nuclear antigen (PCNA) mRNA level was detected by qRT-PCR assay. * p < 0.05.

2.3. miR-223-3p Regulated OC Cell Migration and Invasion

To explore the effects of miR-223-3p on OC cell migration and invasion ability, we performed a migration assay and an invasion assay. As expected, miR-223-3p inhibitor inhibited OC cell migration (Figure 3A,B) as well as invasion (Figure 3C,D).

Figure 3

miR-223-3p regulated OC cell migration and invasion. (A) SKOV3 and OVCAR3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 48 h, respectively. Then, wound closure assay was performed. Original magnification: ×40. The wound closure rate is shown in (B); (C) SKOV3 and OVCAR3 cells were transfected with 50 nM miR-223-3p mimic, inhibitor, or scramble for 48 h. Cell invasion was determined by invasion assay. Original magnification: ×100; (D) Invasive cells per field is shown. * p < 0.05.

2.4. miR-223-3p Targeted sox11 in OC Cells

To find target genes of miR-223-3p, we used predictive tools (TargetScanHuman 7.1; www.targetscan.org/vert_71/). The 3′UTR of SOX11 mRNA contains binding sites for miR-223-3p (Figure 4A). The effect of miR-223-3p inhibitor on the sox11 translation was detected by luciferase reporter assay in SKOV3 cells. After transfecting by miR-223-3p mimic, a significant decreased expression of SOX11 was observed—about a 75.2% downregulation rate. However, miR-223-3p inhibitor increased SOX11 expression (Figure 4B). Furthermore, the mRNA and protein expression of SOX11 were decreased by miR-223-3p mimic and miR-223-3p inhibitor played an opposing role on SOX11 expression (Figure 4C,D). In addition, we confirmed the function of SOX11 on OC cells. The mRNA expression of SOX11 was upregulated after pcDNA3.1-SOX11 transfection (Figure 5A). Overexpression of SOX11 inhibited SKOV3 and OVCAR3 cell growth, migration, and invasion (Figure 5B–E).

Figure 4

miR-223-3p targeted SOX11 in OV cells. (A) The 3′UTR of SOX11 mRNA contains binding sites of miR-223-3p; (B) Luciferase assay was used to confirm the direct regulation of miR-223-3p on SoX11 3′UTR; (C) SOX11 mRNA expression in SKOV3 cells transfected with miR-223-3p mimic, inhibitor, or scramble was detected by qRT-PCR; (D) Western blot was performed to detect the effects of miR-223-3p mimic, inhibitor, or scramble on the expression of SOX11. GAPDH was used as loading control. wt: wild type; mut: mutation; * p < 0.05.

Figure 5

Overexpression of SOX11 inhibited OC cell proliferation, migration, and invasion. (A) Quantitative PCR was performed to measure the mRNA expression of SOX11 levels after transfection of pcDNA3.1-SOX11 and negative control to SKOV3 and OVCAR3; (B,C) Cell viability was detected by CCK-8 assay after transfection of pcDNA3.1-SOX11 to SKOV3 and OVCAR3 in 0, 24, 48, and 72 h; (D) A wound closure assay was performed to determine migration of SKOV3 and OVCAR3 after transfection for 48 h; (E) After transfection for 48 h, cell invasion was determined by invasion assay. * p < 0.05.

2.5. SOX11 Was Inversely Expressed with miR-223-3p in OC Cell Lines and Tissue Specimens

As shown in Figure 6A, the SOX11 mRNA expression was significantly downregulated in OC cell lines (SKOV3, OVCAR3, A2780, and ES2) compared to one normal ovarian cell line, HOSE. The mRNA expression of SOX11 in OC tissues was significant lower than normal tissues (Figure 6B). Comparison of miR-223-3p levels and levels corresponding to SOX11 in OC displayed a significant inverse correlation between SOX11 and miR-223-3p (r = −0.392, p = 0.0003) (Figure 6C).

Figure 6

SOX11 was inversely expressed with miR-223-3p in OC cell lines and tissue specimens. (A) SOX11 was detected in SKOV3, OVCAR3, A2780, and ES2 ovarian cancer cell lines and one normal ovarian cell line HOSE by qRT-PCR; (B) SOX11 mRNA expression was detected in 48 pairs of ovarian cancer tissue samples and adjacent normal tissue samples by qRT-PCR; (C) An inverse correlation was observed between SOX11 level and miR-223-3p expression in 48 OC samples. * p < 0.05.

2.6. miR-223-3p Mimic Increased SKOV3 Engrafted Tumors Growth

To explore the therapeutic effect of miR-223-3p on OC growth in vivo, we inoculated 3 × 106 miR-223-3p scramble/mimic transfected SKOV3 cells subcutaneously in the right flanks of BABL/c mice. Tumors grew faster in the miR-223-3p mimic transfected group comparing to the scramble transfected group (Figure 7A). At the final experiment, increased tumor size and weight were observed in the miR-223-3p mimic transfected group (Figure 7A,B). Then, we carried out an immunohistochemistry (IHC) and western blot assay to detect SOX11 expression. As shown in Figure 7C,D, the protein expression of SOX11 was decreased in the miR-223-3p mimic transfected group.

Figure 7

Overexpression of miR-223-3p increased tumor growth in SKOV3 xenografts. (A) Growth curves of tumor volumes in BABL/c nude mice after injection of SKOV3/miR-223-3p mimic or scramble; (B) Tumor weight was measured in each group after necropsy; (C) An immunohistochemistry assay was performed to detect SOX11 protein expression in tumor tissue. HE, Hematoxylin-Eosin; Original magnification: ×100; (D) SOX11 was determined by western blot analysis. GAPDH was used as control. * p < 0.05.

3. Discussion

Many studies have reported that cancers and other diseases show altered expression of miR-223 compared with normal tissue. In gastric cancer [18], pancreatic cancer [19], esophageal carcinoma [20], breast cancer [13], lung cancer [21], and rheumatoid arthritis [22], miR-223 has been proven to be upregulated. Also, in nasopharyngeal carcinoma [23], osteosarcoma [24], and chronic lymphocytic leukemia [25], the expression of miR-223 has been reported to be downregulated. A recent study revealed that the expression of miR-223 is much higher in recurrent hepatocellular carcinoma [26]. Furthermore, highly expressed miR-223-3p predicts poor treatment outcomes in adenocarcinoma patients [27]. Compared to primary ovarian cancer, recurrent ovarian cancer displays higher miR-223 expression which acts as an importance biomarker [28]. In addition, Huang, K. et al. demonstrated that miR-223 suppresses endometrial carcinoma cells proliferation by repressing insulin-like growth factor-1 receptor (IGF-1R) translation and functions as a tumor suppressor gene [29]. However, Wei, Y. et al. found that miR-223-3p promotes the biological behavior of prostate cancer by targeting SPET6 [14] and Zhang, J. et al. indicated that microRNA-223 is an oncogene in human colorectal cancer cells, and the silencing of miR-223 by miR-223-inhibitor can suppress cell proliferation, migration, and invasion of colorectal cancer cells [16]. In our study, firstly, we found an overexpression of miR-223-3p in ovarian cancer cell lines (SKOV3, OVCAR3, A2780, ES2) compared with the normal ovarian cell line. Then, miR-223-3p was proven to be overexpressed in cancer tissue compared with the adjacent normal tissue. Based on the findings above, we hypothesize that miR-223-3p might function as an oncogene in ovarian cancer. Furthermore, our study demonstrated that overexpressed miR-223-3p promoted the proliferation, accelerated migration, and invasive ability of OC cell lines. On the contrary, miR-223-3p inhibitor transfected cells displayed the opposite results. These data predict that overexpression of miR-223-3p might be involved in the onset and progression of OC. The interference of miR-223-3p may inhibit biological behavior of ovarian cancer.

Through base-pairing reactions, regions in the 5′ end of miRNAs bind complementary to sequences in mRNAs 3′ untranslated tails. This miRNA–mRNA pair can recruit a silencing complex which can modulate mRNA expression [30]. By targeting downstream genes, miRNAs participate in many vital biological processes in cancers. Previous studies have reported many miR-223 downstream target genes, such as tumor suppressor gene EPB41L3, IGF-1R, CDK2, and stathmin1 [29,31,32,33]. However, the miR-223-3p downstream target gene in ovarian cancer is unclear. Sox11 belongs to the SRY-related HMG-box family (Sex determining Region Y-related HMG-box family) of transcription factors. Whether sox11 plays oncogenic or tumor suppressor roles depends on the cancer type. In mantle cell lymphoma, overexpression of SOX11 promotes lymphoma cell growth and prevents cell differentiation [34]. However, in epithelial ovarian cancer, SOX11 acts in a tumor suppressor role. Sernbo, S. et al. demonstrated that high SOX11 expression indicates improved survival and overexpression of SOX11 induces growth arrest in OC cells [35]. Therefore, we hypothesized that sox11 is one of the miR-233-3p target genes. According to the results of a luciferase reporter assay, western blot analysis, and qRT-PCR in our present study, sox11 was identified as a target gene of miR-223-3p. Meanwhile, our data demonstrated that the overexpression of SOX11 suppressed SKOV3 and OVCAR3 cell growth, migration, and invasion in vitro and confirmed that SOX11 displays a tumor suppressor role in ovarian cancer. To further confirm miR-223-3p targeting SOX11, we injected cells transfected with scramble sequences or miR-223-3p mimic into BABL/c nude mice and found upregulated miR-223-3p expression decreased SOX11 expression by IHC and western blot analysis.

On the basis of the results presented above, we draw a conclusion that SOX11 is one of the target genes of miR-223-3p in ovarian cancer, and that miR-223-3p can regulate ovarian cancer proliferation, migration, and invasion partially via targeting SOX11. Whether other genes are involved in this progression needs further research.

4. Materials and Methods

4.1. Patients and Samples

Our study was approved by the Clinical Research Ethics Committee of the Guangxi University of Chinese Medicine and Review Board of Ruikang Hospital affiliated with Guangxi University of Chinese Medicine (Project code No.6-zyfy2016, September 2016). Each subject obtained written informed consent from patients. Patients who received chemotherapy or radiotherapy prior to surgery were excluded. Ovarian cancer tissues and adjacent morphologically normal tissues were collected from 48 OC patients who underwent surgery at Ruikang Hospital affiliated with Guangxi University of Chinese Medicine between 2012 and 2016. Tissue samples were immediately stored in liquid nitrogen for RNA extraction. The patient clinical information was listed in Table 1.

4.2. Cell Culture and Transfection

The human OC cell lines (SKOV3, OVCAR3, A2780, and ES2) and normal ovarian surface epithelial cell line (HOSE) were obtained from Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). All cells were cultured in RPMI-1640 (Roswell Park Memorial Institute-1640) medium (Gibco, Gaithersburg, MD, USA) containing 10% fetal bovine serum (HyClone, Logan, UT, USA) and incubated in a humidified atmosphere with 5% carbon dioxide. miR-223-3p mimics/inhibitors and corresponding negative control were purchased from Shanghai GenePharma Co., Ltd., (Shanghai, China). Cells were transfected at a concentration of 50 nM using Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s protocol. The coding sequences of SOX11 were amplified by PCR and inserted into pcDNA3.1 vector (Invitrogen) to generate SOX11 expression vectors pcDNA3.1-SOX11. The forward primer was 5′-GCGCCATGCATGCGCACATGAGATACG-3′, and reverse primer was 5′-CCACACGTTTCCAATGCGGGGAGTAGC-3′.

4.3. RNA Extraction and Real-Timeolymerase Chain Reaction (PCR)

Total RNA was extracted by Trizol reagent (Invitrogen) according to the manufacturer’s instructions. Using the Takara PrimeScriptTM First Strand cDNA Synthesis kit (Takara, Otsu, Japan), RNA was transcribed to complementary DNA according to the manufacturer’s instructions. Using SYBR green Master Mix (Takara, Otsu, Japan), the cDNA was amplified by real-time quantitative PCR. To detect the levels of miR-138, we used a TaqMan MicroRNA Assays kit (Applied Biosystems, Foster City, CA, USA). miR-223-3p data was normalized to endogenous U6 small RNA using the 2−∆∆ method. The primers used were as follows: miR-223-3p, forward, 5′-AGCTGGTGTTGTGAATCAGGCCG-3′ and reverse, 5′-TGGTGTCGTGGAGTCG-3′; and U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′, GAPDH forward, 5′-TGGTATCGTGGAAGGACTC-3′ and reverse 5′-AGTAGAGGCAGGGATGATG-3′, SOX11 forward, 5′-GGTGGATAAGGATTTGGATTCG-3′ and reverse 5′-GCTCCGGCGTGCAGTAGT-3′. PCNA forward, 5′-CAAGTAATGTCGATAAAGAGGAGG-3′ and reverse, 5′-GTGTCACCGTTGAAGAGAGTGG-3′, Ki-67 forward, 5′-GAAAGAGTGGCAACCTGCCTTC-3′ and reverse, 5′-GCACCAAGTTTTACTACATCTGCC-3′. The PCR cycling conditions were 95 °C for 10 min, and 40 cycles of 10 s at 95 °C and 30 s at 60 °C, following an annealing step at 72 °C for 5 min.

4.4. In Vitro Cell Proliferation Viability, Wound Healing and Invasion Assays

Cell viability was detected using CCK-8 assay (Dojindo, Kumamoto, Japan). Transfected cells were seeded in 96-well plates at 4 × 103 cells/well, and cultured for 0, 24, 48, or 72 h. Then, 10 μL of CCK-8 reagent was added to 100 μL of fresh medium per well. Cells were incubated for 1.5 h at 37 °C. Cell viability was assessed at an absorbance of 450 nm. For the wound healing assay, 1 × 104 cells were added into six well plates and grown to 50–70% confluence. Then cells were scratched by a 1-mL pipette tip and cultured for 48 h. Wound healing areas were examined under inverted microscope. We used Image J software to measure the wound area. The wound closure rate = (Area of original wound − Area of actual wound at 48 h)/Area of original wound × 100%. For invasion assays, transwell vessels (Corning, NY, USA) with 8-μm pores were used. We added 100 μL RPMI-1640 medium without serum containing 1 × 103 cells into the upper chamber precoated with Matrigel (BD Bioscience, Mississauga, ON, Canada). Then, RPMI-1640 medium with 10% fetal bovine serum (FBS) was added into the lower chamber. After 48 h incubation, non-invaded cells were carefully wiped out with a cotton bud. Next, the membrane with cells were fixed by 4% paraformaldehyde and stained by 0.2% crystal violet. Five high power fields (200×) were randomly selected and cells were counted.

4.5. Luciferase Reporter Assay

The SKOV3 cell line was used for transfection and target gene detection. Cells were co-transfected with either SOX11 3’UTR clone or negative control clone (Origene, Rockville, MD, USA) and miR-223-3p mimic/inhibitor or scramble control. After 48 h, cells were collected and analyzed using Dual-Luciferase Reporter Assay System (Promega, Madison, WI, USA).

4.6. In Vivo Experiments

Animal studies were performed in accordance with institutional guidelines. Equal numbers of 3 × 106 SKOV3 viable cells transfected with miR-223-3p mimic/inhibitor or scramble were suspended in 100 µL and injected subcutaneously into the posterior right flanks of 6-week-old female BALB/c nude mice (Chinese Academy of Sciences, Shanghai, China), with five mice per group. Tumor diameters were measured by caliper every 5 days. On the 25th day subsequent to injection, mice were sacrificed. Tumors were dissected and weighted after necropsy. The formula for tumor volume was as follows: length × width2 × 1/2. Then, we collected a part of the tumor tissues to detect SOX11 levels by immunohistochemistry (IHC) and western blot assay.

4.7. Immunohistochemistry (IHC) Assay

Paraffin embedded tissue was sectioned (5 µm). Then, the sections were dewaxed. H2O2 (3%) was used to suppress endogenous peroxidase activity. Polyclonal rabbit antibody at 1:100 dilution against SOX11 (ProteinTech, Wuhan, China) was added and incubated at 4 °C overnight. Next, avidin-biotin horseradish peroxidase complex and Biotin-labeled anti-IgG (anti-Immunoglobulin G) was used as secondary reagents. Slides were counterstained with hematoxylin and mounted. Finally, we used an Olympus (Tokyo, Japan) computerized image analysis system to capture and analyze images.

4.8. Western Blot Analysis

Cell lysates were prepared by adding radioimmunoprecipitation assay buffer (RIPA; KeyGEN Biotech, Nanjing, China) with the addition of general protease inhibitors (Sigma-Aldrich, St. Louis, MO, USA), and then protein concentrations were determined using BCA Protein Assay (Thermo Scientific, Waltham, MA, USA). Individual samples (20 μg proteins) were separated by 10–12% SDS-PAGE (sodium dodecyl sulfate polyacrylamide gel electrophoresis) gel and transferred to nitrocellulose membranes (Millipore, Bedford, MA, USA). After blocking the membranes with 5% non-fat dry milk in TBST for 1 h at room temperature, membranes were incubated at 4 °C overnight with specific primary antibodies: SOX11, GAPDH (CST, Beverly, MA, USA). Membranes were then incubated with horseradish peroxidase-conjugated secondary antibodies for 2 h. Signals were developed by ECL reagent (Thermo Scientific) and recorded using G: BOX (Syngene, Cambridge, UK).

4.9. Statistical Analysis

Quantitative values were presented as mean ± standard deviation from at least three independent experiments. One-way analysis of variance followed by Tukey’s post hoc test and Student’s t-test was performed to determine the differences between more than two groups or two groups, respectively. Correlation between miR-223-3p and SOX11 was determined using Pearson correlation analysis. The relationship between clinical pathological variables and miR-223-3p levels was analyzed using a Pearson’s χ2 test. All date analyses were done using SPSS 17.0 software (SPSS Inc., Chicago, IL, USA, 2008). A p value < 0.05 was considered statistically significant.

5. Conclusions

In summary, we have shown that miR-223-3p is upregulated in ovarian cancer. Overexpression of miR-223-3p promotes OC cell growth, migration, and invasion via targeting SOX11. Downregulating miR-223-3p expression reverses this change. These findings indicate that miR-223-3p may act as a potential therapeutic agent for the treatment of ovarian cancer.