Skip to main content

Down-regulation of ZNF252P-AS1 alleviates ovarian cancer progression by binding miR-324-3p to downregulate LY6K



Ovarian cancer is a common gynecological malignant disease in women. Our work aimed to study the specific functions of ZNF252P antisense RNA 1 (ZNF252P-AS1) in ovarian cancer.


ZNF252P-AS1, miR-324-3p, and lymphocyte antigen 6 family member K (LY6K) expression were analyzed by bioinformatics tools in ovarian cancer tissues and was quantified by qRT-PCR in ovarian cancer cells. The effect of ZNF252P-AS1 knockdown, miR-324-3p suppression, and LY6K over-expression on apoptosis, cell viability, invasion, migration, and epithelial to mesenchymal transition (EMT) was determined in vitro by using colony formation and EdU assays, flow cytometry, transwell assay, and Western blot. The interactions between ZNF252P-AS1 and miR-324-3p and between miR-324-3p and LY6K were validated by luciferase assays. The effects of restraining ZNF252P-AS1 in vivo were studied using BALB/c male nude mice.


ZNF252P-AS1 and LY6K levels were up-regulated, while miR-324-3p was declined in ovarian cancer tissues and cells. ZNF252P-AS1 knockdown reduced ovarian cancer cell proliferation, invasion, migration, and EMT, whereas promoted its apoptosis. Besides, ZNF252P-AS1 interacted with miR-324-3p and reversely regulated its level, and miR-324-3p was directly bound to LY6K and negatively regulated its expression. Moreover, ZNF252P-AS1 knockdown reversed the effect of miR-324-3p on cancer cell apoptosis, growth, migration, invasion, and EMT. Similar results were discovered in the rescue experiments between miR-324-3p and LY6K. Additionally, mouse models in vivo experiments further validated that ZNF252P-AS1 knockdown distinctly inhibited tumor growth.


ZNF252P-AS1 mediated miR-324-3p/LY6K signaling to facilitate progression of ovarian cancer.


Ovarian cancer is the second most common malignant tumor in women over 40, especially in developed countries [37]. In terms of all types of cancer, ovarian cancer is the eleventh most common cancer among women, the fifth incentive of cancer-associated deaths in women, and the lethal gynecological cancer [34]. Unfortunately, patients are mostly diagnosed at the advanced stage, and its median survival ratio is less than 15% [5, 28]. Therefore, despite the increased awareness of ovarian cancer, the survival trends have not been significantly changed due to the challenge of early diagnosis. Thus, it is imperative to clarify the molecular mechanisms of this fatal disease.

Long non-coding RNAs (lncRNAs) exerts pivotal functions in cancer development, particularly in the occurrence and metastasis of cancers [23, 39]. In ovarian cancer, dysfunction of several lncRNAs was shown to be related to cancer progression and metastasis, and they usually function as ceRNAs to regulate biological processes of cells or pathways. LncRNA LINC00319 intensified the progression of ovarian cancer via the miR-423-5p/NACC1 signaling [7], lncRNA MALAT1 accelerates the proliferation and metastasis of ovarian cancer through regulating the PI3K/AKT pathway [13], and lncRNA PVT1 facilitates ovarian cancer progression by targeting miR-214 [4], for example. LncRNA ZNF252P antisense RNA 1 (ZNF252P-AS1) is located on chromosome 8, it is a novel identified lncRNA in hepatocellular carcinoma and might be an independent prognostic biomarker for hepatitis B virus-positive hepatocellular carcinoma patients [47]. Besides, ZNF252P-AS1 is associated with hypertensive nephropathy via insulin signaling pathway [40]. However, the roles of lncRNA ZNF252P-AS1 in ovarian cancer have not been studied.

MicroRNAs (miRNAs) are kinds of single stranded non-coding RNA molecules, and their length are approximately 17–25 nucleotides that encoded by the endogenous genes. miRNAs regulate the target gene translation process via combining to the mRNA 3’-UTR of target genes, thereby participating in multiple tumor biological behaviours [42]. Various miRNAs have been identified to be related with ovarian cancer. miR-552 accelerates ovarian cancer progression via PTEN pathway [46]. miR-96 facilitates ovarian cancer malignant progression via targeting FOXO3A [44]. miR-34a reduces cell viability and chemoresistance of ovarian cancer through regulating HDAC1 [25], for instance. In recent years, miR-324-3p is reported to play an important anti-cancer role in many cancers, such as colorectal cancer [9], breast cancer [18], non-small-cell lung cancer [41], and nasopharyngeal carcinoma [20]. There are relatively few research reports on miR-324-3p in ovarian cancer. LncRNA OIP5-AS1 served as an oncogene in ovarian cancer via targeting miR-324-3p [21]. Lymphocyte antigen 6 family member K (LY6K) is located on chromosome 8q24 [38]. High LY6K expression is associated with poor prognosis and survival outcomes in various cancer types, and LY6K inhibition suppresses cell growth of cancers [3]. LY6K is reported to promote glioblastoma tumorigenicity through CAV-1-mediated ERK1/2 pathway enhancement [32]. Moreover, upregulation of the oncogenic LY6K gene contributes bladder cancer development [27]. Yet, the specific functions of LY6K in ovarian cancer is largely unknown.

In this work, we for the first time revealed the expression levels and functions of ZNF252P-AS1 in ovarian cancer and unraveled that ZNF252P-AS1/miR-324-3p/LY6K played significant roles in ovarian cancer.


Bioinformatics analysis

The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) data analysis of ZNF252P-AS1 level in normal ovary tissues, ovarian cancer tissues, and recurrent ovarian cancer tissues was carried out using GEPIA and R-language tools. The patients were classified into low and high ZNF252P-AS1 level classes according to the median expression levels of ZNF252P-AS1. The relation between ZNF252P-AS1 and ovarian cancer patient survival was developed by Kaplan–Meier plotter database. The log-rank p value, 95% confidence interval (CI) hazard ratio (HR) and median survival were analyzed. The target genes of miR-324-3p were predicted by retrieving the TargetScan and the differentially expressed mRNA screened from TCGA-OV database. Then, the genes were intersected by Venn analysis. Using the TargetScan database, the possible binding sites between ZNF252P-AS1 and miR-324-3p and between miR-324-3p and LY6K were predicted.

Cell culture and cell transfection

The human normal epithelial cell line of ovary, IOSE80, was obtained from Wuhan Cell Bank (China).The human ovarian cancer cell lines, SKOV3, A2780, HO8910, and OVCAR3 were purchased from ATCC (USA), and the cells were retained with 10% fetal bovine serum added in Dulbecco's modified Eagle Medium (DMEM). All cells were grown in an incubator at 37 °C with 5 percent CO2. SKOV3 and A2780 cells were transfected by using Lipofectamine 2000 (Invitrogen, USA) with ZNF252P-AS1 shRNA or empty control shRNA (GenePharma, China) as following the instruction.

Quantitative Real-Time polymerase chain reaction (qRT-PCR)

The total RNAs from cell lines were extracted using the TRIzol reagent (TIANGEN, China), complete RNAs from cells were collected and cDNA was synthesized using TIANSeq M-MLV (RNase H-) reverse transcriptase (TIANGEN, China). A FastKing One Stage RT-qPCR Kit was used to perform qRT-PCR (TIANGEN, China). The endogenous control genes to normalize the target gene expression were U6 and GAPDH. Primer sequences used were exhibited as follows: U6, forward: 5’-CAGCACATATACTAAAATTGGAACG-3’, reverse: 5’-ACGAATTTGCGTGTCATCC-3’; GAPDH, forward: 5’-TGAATGGGCAGCCGTTAGGA-3’, reverse: 5’-CGCCCAATACGACCAAATCAGAGA-3’; ZNF252P-AS1, forward: 5’-TTCGAGAACCAACCACTCGG-3’, reverse: 5’-CCCACTGTCCCACTGAAGAC-3’; miR-324-3p, forward: 5’-ATCCAGTGCAGGGTCCGAGG-3’, reverse: 5’-GCGGCGGCCCACTGCCCCAGGTG-3’; LY6K, forward: 5’-TGCGAGACAACGAGATCCAG-3’, reverse: 5’-CGGGTCTAGGGGTTGTCAC-3’.

Colony formation assay

Cells were seeded in 6-well plates and incubated for one week at 37 °C. The cells were then fixed with 4 percent formaldehyde for 10 min and then stained with 0.1% crystal violet dye (Beyotime, Shanghai, China) for 20 min. Colonies (diameter ≥ 100 μm) were counted.

EdU assay

The cells were seeded on 96-well plates with a density of 1 × 105 cells in each well. EdU solution (Beyotime, China) was diluted with culture medium in a ratio of 1000:1. The amount of 50 μM EdU solution and 100 μM culture medium were applied to each well after transfection and incubated for 2 h. The 4′,6-diamidino-2phenylindole (DAPI, Sigma, USA) was added to well plates to stain the cells. Finally, the results were perceived and photographed under a fluorescence microscope.

Cell apoptosis

By centrifuging, the cells were (2 × 105 in each well) harvested and were resuspended by 500 μL binding buffer. Then 5 μL of Annexin V-FITC was added to the cells and incubated in the dark for 30 min at 4 °C, then 5 μL of propidium iodide (PI) was added and incubated at room temperature for 5 min. The apoptosis of cells was determined using Annexin-V-FITC Detection Kit (BioVision, USA) through flow cytometry (BD, USA).

Western blot

Total proteins were collected using RIPA (Beyotime, China) and SDS-PAGE was used to separate them. Samples were transferred to polyvinylidene fluoride (Beyotime, China) membranes and blocked with 5% phosphate buffered saline that containing 5% bovine serum albumin. The primary antibodies used in this experiment are as follows: Bax (1:1000, Abcam, USA), Bcl-2 (1:1000, Abcam, USA), GAPDH (internal control, 1:2000, Abcam, USA), MMP2 (1:1000, Abcam, USA), MMP9 (1:500, Abcam, USA), E-cadherin (1:500, Abcam, USA), N-cadherin (1:1000, Abcam, USA), and vimentin (1:500, Abcam, USA). Membranes were incubated with different primary antibodies at 4 °C overnight. Each membrane was visualized by BeyoECL Plus chemiluminescence solution (Beyotime, China) after incubation with HRP-conjugated secondary antibodies (Beyotime, China).

Transwell assay

Cell invasion and migration performed using the invasion chambers of Matrigel (BD Biosciences, USA). In brief, the lower chamber used 20 percent fetal bovine serum as the chemoattractant. The invasion cells were fixed with 0.1 percent crystal violet and then stained. Subsequently, a light microscope quantified the cells.

Luciferase reporter assay

SKOV3 cells and A2780 cells were seeded in 24 well plates with 1 × 105 cells per well. Co-transfection occurred when the cell density was 70–80 percent. Wild type (Wt) or mutant (Mut) ZNF525P-AS1 combined with miR-324-3p mimics or negative control (NC) mimics were co-transfected using Lipofectamine 2000 (Invitrogen, USA). After 48 h, cells were harvested for (Promega) luciferase activity assay as indicated.

Tumor xenograft

Two groups were allocated to BALB/c male nude mice: the group sh-NC (SKOV3 cells injected) and the sh-ZNF252P-AS1 group (SKOV3 cells injected with ZNF252P-AS1 knockout). Approximately 0.2 mL of cell suspension containing 2 × 104 cells was injected into the right back of each mouse. At the end of the experiment, a digital caliper determined the tumor size of each mouse. Tumor volumes were measured by measuring the length and width every five days. Each mouse was killed 30 days later and tumor tissues were removed for weighting. Animal experiments have been validated and conducted in accordance with institutional guidelines.

Statistical analysis

GraphPad Prism 8.0 analyzed the data and showed mean ± standard deviation (SD). Student t test or One-Way ANOVA was used to compare the differences between individual groups. Repeated measurements were used to evaluate tumor volumes. Statistical significance was P < 0.05. Each experiment had at least three replications.


The ZNF252P-AS1 gene is up-regulated in ovarian cancer

The expression of the ZNF252P-AS1 gene in normal tissues, ovarian cancer tissues, and frequent ovarian cancer tissues was categorized using TCGA-OV results having 426 ovarian cancer samples and 88 normal controls. The results of the study showed that the expression of ZNF252P-AS1 in ovarian tissues was upregulated relative to normal tissues (Fig. 1A) and that its expression was higher in recurrent ovarian tissues than ovarian tissues (Fig. 1B). The relationship between ZNF252P-AS1 levels and survival in ovarian cancer patients was evaluated by the Kaplan–Meier survival curve. The findings showed that high ZNF252P-AS1 expression was closely linked to poor survival in patients with ovarian cancer (HR = 1.59, 95% CI = 1.26–2.02, Fig. 1C). Afterward, we observed that the expression of ZNF252P-AS1 was distinctly increased in SKOV3, A2780, HO8910 and OVCAR3 ovarian cancer cells compared to IOSE80 normal ovarian cells, and the expression level was highest in SKOV3 and A2780 cells (Fig. 1D). Our findings have shown that lncRNA ZNF252P-AS1 may play a role in ovarian cancer growth.

Fig. 1
figure 1

In ovarian cancer, the ZNF252P-AS1 gene is upregulated. A. ZNF252P-AS1 expression levels in normal ovary tissues and ovarian cancer tissues. B. ZNF252P-AS1 expression levels in ovarian cancer tissues and recurrent tissues of ovarian cancer. C. Kaplan–Meier online monitoring of overall survival in ovarian cancer patients with low or high expression of ZNF252P-AS1. D. ZNF252P-AS1 expression was measured by qRT-PCR in IOSE80, SKOV3, A2780, HO8910 and OVCAR3 different cell lines. Data were presented as mean ± SD. *p < 0.05, **p < 0.01.

Down-regulation of ZNF252P-AS1 inhibits proliferation and promotes apoptosis of ovarian cancer cells

We reduced the expression of ZNF252P-AS1 in SKOV3 cells and A2780 cells by transferring shRNAs to explore the biological roles of ZNF252P-AS1 in ovarian cancer cells. The qRT-PCR assay verified that ZNF252P-AS1 expression in ovarian cancer cells was significantly downregulated in ovarian cancer cells (Fig. 2A). The colony formation experiment and the EdU experiment indicated that inhibition of ZNF252P-AS1 meaningfully reduced the viability of SKOV3 cells and A2780 cells compared to the conforming controls (Fig. 2B, C). Flow cytometry assay findings showed that suppression of ZNF252P-AS1 in SKOV3 and A2780 cells significantly facilitated cell apoptosis (Fig. 2D). Similarly, the expression of Bax, a pro-apoptotic protein, was remarkably reduced by ZNF252P-AS1 knockdown in SKOV3 and A2780 cells. Conversely, Bcl-2, an anti-apoptotic protein, was significantly increased in ovarian cancer cells when ZNF252P-AS1 was down-regulated (Fig. 2E). These results showed that down-regulation of ZNF252P-AS1 prevented the propagation of ovarian cancer cells and assisted their apoptosis.

Fig. 2
figure 2

Down-reglulaiotn of ZNF252P-AS1 suppresses proliferation and facilitates apoptosis of ovarian cancer cells. A. Transfection efficiency of sh-ZNF252P-AS1 was confirmed by qRT-PCR in SKOV3 cells and A2780 cells. B. Ovarian cancer cell colony formation was reduced by ZNF252P-AS1 knockdown. C. EdU assays detected the cell viability of SKOV3 and A2780 cells. D. Flow cytometry determined the apoptosis of SKOV3 cells and A2780 cells. E. Western blot detected the expression of Bax and Bcl-2 in SKOV3 and A2780 cells. Data were presented as mean ± SD. **p < 0.01

Down-regulation of ZNF252P-AS1 inhibits the migration, invasion, and EMT of ovarian cancer cells

Next, we examined whether ZNF252P-AS1 is active in ovarian cancer metastases. Using the transwell migration assay, we observed that the number of migrating cells in ZNF252P-AS1 knock-down ovarian cancer cells was clearly reduced (Fig. 3A). In addition, the transwell invasion assay revealed that ZNF252P-AS1 suppression greatly decreased the migration capability of SKOV3 cells and A2780 cells (Fig. 3B). Then, we looked for the impact of ZNF252P-AS1 on EMT in ovarian cancer cells. Western blot was used for the measurement of protein expression of EMT-associated proteins such as E-cadherin, vimentin, N-cadherin, MMP2 and MMP9. As seen in Fig. 3.C, the expression of N-cadherin, vimentin, MMP2 and MMP9 was significantly reduced when ZNF252P-AS1 was inhibited in ovarian cancer cells, whereas E-cadherin was dramatically up-regulated. Taken together, our data have shown that the down-regulation of ZNF252P-AS1 prevents the invasion, migration, and EMT mechanism of ovarian cancer cells.

Fig. 3
figure 3

Down-regulation of ZNF252P-AS1 inhibits the migration, invasion, and EMT process of ovarian cancer cells. A. The migrated ability of SKOV3 cells and A2780 cells was measured by transwell assay. B. The invasion of SKOV3 cells and A2780 cells was measured by transwell assay. C. Western blot detected the expression levels of E-cadherin, vimentin, N-cadherin, MMP2, and MMP9 in SKOV3 and A2780 cells. Data were presented as mean ± SD. **p < 0.01

ZNF252P-AS1 binds to and negatively regulates miR-324-3p

In ovarian cancer, we studied it to identify the regulatory function of ZNF252P-AS1 and found that ZNF252P-AS1 would bind to miR-324-3p. ZNFA252P-AS1 has been broadly expressed in multiple cancer diseases and down-regulated in ovarian cancer, as seen in Fig. 4A.

Fig. 4
figure 4

ZNF252P-AS1 binds to and negatively regulates miR-324-3p. A. DbDEMC online tool was used to analyze the differential expression profile of miR-324-3p in various cancers compared to standard controls. B. Kaplan–Meier survival curve for TCGA-OV dataset miR-324-3p level in ovarian cancer tissues. C. qRT-PCR investigated the relative level of miR-324-3p in IOSE80 cells, SKOV3 cells, A2780 cells and OVCAR3 cells. D. Binding sites between ZNF252P-AS1 and miR-324-3p were estimated using the miRDB database. E. A luciferase assay established the binding relationship between ZNF252P-AS1 and miR-324-3p. F. miR-324-3p level was measured by qRT-PCR in SKOV3 cells and A2780 cells. Data were presented as mean ± SD. **p < 0.01

In comparison, higher miR-324-3p expression was related with higher survival rates for ovarian cancer (Fig. 4.B). First, relative to normal ovarian cells, we studied miR-324-3p expression in ovarian cancer cells. We observed that miR-324-3p in ovarian cancer cells was substantially downregulated and the level of expression was lowest in SKOV3 and A2780 cells (Fig. 4C). The predicted binding sites between ZNF252P-AS1 and miR-324-3p are seen in Fig. 4D. Co-transfection with Wt-ZNF252P-AS1 and miR-324-3p imitate substantially decreased luciferase activity in SKOV3 and A2780 cells. However, when cells were co-transfected with Mut-ZNF252P-AS1 and miR-324-3p mimics, luciferase activity showed no substantial improvement (Fig. 4.E). In SKOV3 cells and A2780 cells, miR-324-3p expression was also greatly improved when ZNF252P-AS1 was inhibited (Fig. 4F). Our data shows that ZNF252-AS1 can bind to miR-324-3p directly and regulate it negatively.

Down-regulation of ZNF252P-AS1 promotes apoptosis and inhibits proliferation, migration, invasion, and EMT of ovarian cancer through reversely regulating miR-324-3p

Down-regulation of ZNF252P-AS1 led to a significant increase in miR-324-3p expression in ovarian cancer cells, and the transfection of miR-324-3p inhibitor effectively inhibited miR-324-3p expression (Fig. 5A). Flow cytometry assay indicated that miR-324-3p inhibitor led to an important decrease in apoptosis of SKOV3 cells and A2780 cells, whereas the decreased apoptosis was abrogated with the co-transfection of sh-ZNF252P-AS1 and miR-324-3p inhibitor (Fig. 5B). EdU assay revealed that the cell adequacy of ovarian cancer cells was significantly enhanced by miR-324-3p inhibitor, however, the viability of cells was dramatically reduced when the cells were co-transfected with sh-ZNF252P-AS1 and miR-324-5p (Fig. 5C). Transwell assay indicated that miR-324-5p inhibitor promoted the migrated and invaded ability of ovarian cancer cells, while co-transfection of sh-ZNF252P-AS1 and miR-324-3p inhibitor weakened migration and invasion capacity of cells (Fig. 5D). Likewise, as presented in Fig. 5E, miR-324-5p inhibitor dramatically promoted the EMT of ovarian cancer cells, as indicated by the reduced E-cadherin and improved N-cadherin and vimentin. Simultaneously Down-regulating ZNF252P-AS1 and miR-324-5p alleviated the EMT phenotype compared with the corresponding control (Fig. 5E). These results together showed that ZNF252P-AS1 had an effect on the development of ovarian cancer through downewgulating miR-324-3p.

Fig. 5
figure 5

ZNF252P-AS1 knockdown promotes apoptosis and inhibits proliferation, migration, invasion, and EMT of ovarian cancer through reversely regulating miR-324-3p. A. The relative level of miR-324-3p was quantified by qRT-PCR in SKOV3 cells and A2780 cells. B. Flow cytometry was used to determine cell apoptosis for each group. C. Cell growth from each group was measured by the EdU test. D. Transwell assays evaluated the migration and invasion ability of ovarian cancer cells. E. Western blot was used to detect the expression of E-cadherin, vimentin, and N-cadherin in ovarian cancer cells. Data were presented as mean ± SD. **p < 0.01, vs. sh-NC + inhibitor NC. ##p < 0.01, vs. sh-ZNF252P-AS1 + inhibitor NC and sh-NC + miR-324-3p inhibitor

LY6K is a target of miR-324-3p

By searching the TargetScan and the differentially expressed genes screened from TCGA-OV database, the Venn diagram of intersected candidate target genes was plotted, and the four differential expressed genes were LY6K, LRRC55, SMTNL1 and ZC3H12A (Fig. 6A). Moreover, we found that LY6K was the most differentially expressed of these differential expressed genes (Fig. 6A). LY6K is reported to be the target gene for miR-324-3p and that LY6K functions in several cancers [15, 19]. Thus, we subsequently studied LY6K expression in ovary cancer tissue in normal tissues, ovary cancer tissues and recurrent ovary cancer tissues with TCGA-OV data. Analyzed findings found that LY6K is higher in ovarian cancer tissues relative to normal controls (Fig. 6B) and is more pronounced in recurring ovarian cancer tissues compared to cancer tissues (Fig. 6C). The Kaplan–Meier postoperative survival curve for ovarian cancer patients and LY6K expression showed that high LY6K levels were related with poor ovarian cancer prognosis (Fig. 6D). Likewise, qRT-PCR results indicated that LY6K is dramatically up-regulated in ovarian cancer cells associated with standard ovarian cells (Fig. 6E). The potential binding sites were shown in Fig. 6F, and the luciferase reporter assay in SKOV3 cells and A2780 cells provided the validation of the target cognation among miR-324-3p and LY6K (Fig. 6G). Furthermore, the level of LY6K was adversely correlated with miR-324-3p (Fig. 6H). Taken together, our results suggested that miR-324-3p targeted and adversely adjusted LY6K in ovarian cancer.

Fig. 6
figure 6

LY6K is a target of miR-324-3p. A. The target genes that may bind to miR-324-3p were predicted by retrieving the TargetScan and the differentially expressed genes screened from TCGA-OV database. B. LY6K mRNA expression levels in normal tissues and ovarian cancer tissues. C. LY6K expression levels in ovarian cancer tissues and recurrent ovarian cancer tissues. D. Online Kaplan–Meier plot of complete survival in ovarian cancer patients with low or high LY6K expression. E. LY6K expression was examined by qRT-PCR in IOSE80, SKOV3, A2780, HO8910, and OVCAR3 cells. F. TargetScan reflected the binding sites between miR-324-3p and LY6K Reporter. G. Luciferase analysis confirmed that LY6K in SKOV3 and A2780 cells was targeted by miR-324-3p. H. After transfection with mimics, qRT-PCR detected the relative expression of LY6K in ovarian cancer cells. Data were presented as mean ± SD. *p < 0.05, **p < 0.01

miR-324-3p over-expression promotes apoptosis and inhibits proliferation, migration, invasion, and EMT of ovarian cancer cells by negatively regulating LY6K

For further investigating the biological functions of miR-324-3p and LY6K, LY6K was over-expressed and co-transfected with miR-324-3p mimics in SKOV3 cells and A2780 cells. Figure 7.A indicated the confirmation of LY6K expression in ovarian cancer cells. Overexpression of LY6K could refrain the apoptosis of ovarian cancer cells, while overexpressing miR-324-3p and LY6K could alleviate this effect (Fig. 7B). Up-regulation of LY6K significantly enhanced ovarian cancer cell proliferation, while up-regulating miR-324-3p and LY6K neutralized this effect (Fig. 7C). Elevating LY6K expression notably promoted the migration and invasion of cancer cells, however co-transfection of miR-324-3p mimic and pcDNA-LY6K ameliorated the impact (Fig. 7D). Meanwhile, overexpression of miR-324-3p could alleviate the EMT phenotype caused by elevated LY6K (Fig. 7E). Collectively, miR-324-3p over-expression promoted apoptosis and inhibited viability, migration, invasion, and EMT of ovarian cancer cells by negatively regulating LY6K.

Fig. 7
figure 7

miR-324-3p over-expression promotes apoptosis and inhibits viability, migration, invasion, and EMT of ovarian cancer cells by negatively regulating LY6K. A. After transfection of mimics and plasmids, qRT-PCR observed the relative expression of LY6K in SKOV3 and A2780 cells. B. After transfection of mimics and plasmids, flow cytometry determined cell apoptosis of SKOV3 and A2780 cells. C. Cell proliferation of SKOV3 and A2780 cells after transfection of mimics and plasmids was observed by the EdU assay. D. Transwell assays examined SKOV3 and A2780 cell migration and invasion. E. Western blot was used to identify the expression of E-cadherin, N-cadherin and vimentin in ovarian cancer cells. Data were presented as mean ± SD. **p < 0.01, vs. mimics NC + pcDNA-NC. ##p < 0.01, vs. miR-223-3p mimics + pcDNA-NC and mimics NC + pcDNA-LY6K

Down-regulation of ZNF252P-AS1 reduces the tumorigenicity of ovarian cancer in vivo

To examine the conclusion of ZNF252P-AS1 on the tumorigenicity of ovarian cancer, nude mouse xenograft models were constructed. The harvested tumors were depicted in Fig. 8A. Macroscopic observation revealed that ZNF252P-AS1 knockdown could reduce the tumor size in nude mouse models. The tumor volumes were remarkably reduced in ZFN252P-AS1 knockdown mice equated with the sh-NC group (Fig. 8B). Meanwhile, the tumor weight was also markedly decreased by ZNF252P-AS1 knockdown in vivo (Fig. 8C). These results confirmed that down-regulation of ZNF252P-AS1 could reduce the tumorigenicity of ovarian cancer in vivo.

Fig. 8
figure 8

Down-regulation of ZNF252P-AS1 reduces the tumorigenicity of ovarian cancer in vivo. A. Representative tumor size images from nude mice injected with lenti-sh-ZNF252P-AS1 cells injected with SKOV3. B. Tumor volume was measured for each mouse every five days. C. After killing of nude mice, tumor weight of each mouse was evaluated. Data were presented as mean ± SD. **p < 0.01


Ovarian cancer is one of the most malignant tumors and known for the highest mortality rate among all gynecological cancers [6, 11, 43]. Only about one-fifth of advanced ovarian cancer patients were effectively cured and survived more than 12 years after treatment [31]. Therefore, the exploration of new drug targets for ovarian cancer diagnosis and treatment is of great significance.

ZNF252P-AS1 has been confirmed to function as an oncogene in hepatocellular carcinoma and hypertensive nephropathy [40, 47]. Similarly, an elevated ZNF252P-AS1 level was found in tissues and cell lines of ovarian cancer in our study, and high ZNF252P-AS1 expression was found in tissues of recurrent ovarian cancer tissues. The prognosis analysis of ZNF252P-AS1 showed that high ZNF252P-AS1 level brought out adverse roles in survival rates according to Kaplan–Meier analysis. Epithelial-mesenchymal transition (EMT) process causes epithelial cells to lose the biological features, whereas obtaining the characteristics of mesenchymal cells. Nevertheless, EMT program can be reactivated by tumor cells, and it will enhance their aggressiveness. Moreover, a number of studies showed that lncRNAs were involved in the process of EMT [33, 45]. In our work, knockdown of ZNF252P-AS1 promoted cell apoptosis and suppressed cell growth, migration capacity, and invasion capacity of ovarian cancer cells. Increasing evidence has demonstrated that EMT plays essential roles in the metastatic dissemination of cancer cells by endowing them with motile and invasive phenotype [26, 48]. In this process, the epithelial marker, such as E-cadherin, is significantly decreased at the molecular level, whereas the mesenchymal markers, such as N-cadherin and vimentin, are dramatically enhanced [22, 29]. To address ZNF252P-AS1 underlying mechanism in the invasiveness of ovarian cancer, the levels of multiple EMT-related factors were detected. The data indicated that ZNF252P-AS1 depletion resulted in an up-regulation of E-cadherin and simultaneous reduction of N-cadherin and vimentin, suggesting that ZNF252P-AS1 might contribute to EMT. A number of evidences illustrated that MMPs are widely known participants in extracellular matrix degradation and rearrangement during the period of cancer cell migration and invasion [1, 30]. MMP2 and MMP9 are the members of matrix metalloproteinases family, which is closely related to poor prognosis in ovarian cancer patients [12, 14, 17]. In the present work, the elimination of ZNF252P-AS1 exhibited decreased expression of MMP2 and MMP9 in ovarian cancer. Collectively, our data illustrated that ZNF252P-AS1 might act as an oncogene in ovarian cancer.

miRNAs exert critical functions in certain physiological processes. In the present work, miR-324-3p level was decreased in ovarian cancer tissues, and high miR-324-3p level was associated with higher survival. We following confirmed the binding between ZNF252P-AS1 and miR-324-3p through a luciferase assay, and miR-324-3p was inversely regulated by ZNF252P-AS1 in ovarian cancer cells. miR-324-3p has disparate biological functions in different human cancers. For example, miR-324-3p accelerates the development of gastric cancer through Smad4-mediated Wnt/β-catenin signaling [35],miR-324-3p restrains the invasion and migration in nasopharyngeal carcinoma via directly targeting WNT2B [20]. LncRNA SNHG22 promotes breast cancer malignant phenotypes by sponging miR-324-3p [10]. Over-expression of miR-324-3p restrains ovarian cancer cell proliferation, invasion, and migration [21]. Likewise, in our study, miR-324-3p served as a tumor suppressor in ovarian cancer. miR-324-3p suppression caused significant increases in cancer cell growth, migration, invasion, and EMT phenotype and obvious reduction in cell apoptosis. However, simultaneous inhibition of ZNF252P-AS1 expression partially alleviated the tumor inhibition effect induced by miR-324-3p inhibitor. Taken together, down-regulation of ZNF252P-AS1 promoted apoptosis and inhibited proliferation, migration, invasion, and EMT of ovarian cancer through reversely regulating miR-324-3p.

High expression of LY6K at mRNA level is reported to be related to poor survival outcomes in various cancers, including breast cancer [15], cervical cancer [36], and colorectal cancer [24]. Previous studies also shows that LY6K is a crucial contributor to tumor biology and functions in glioblastoma tumorigenicity [32], and knockdown of LY6K in cancer cells leads to reduced tumor growth in mouse models [2]. In this study, LY6K expression was lifted in the tissues of ovarian cancer patients, and higher level of LY6K was found in recurrent cancer patients. Besides, a higher expression of LY6K was closely related to poor prognosis in ovarian cancer patients, which is consistent with previous reports. We validated that in ovarian cancer cells miR-324-3p directly targeted and negatively regulated LY6K. Prior studies shows that LY6K expression in normal cells mainly exists in testicular germ cells and functions in the migration of sperm cells [8], miR-500a-3p targets LY6K to suppress cell growth and cell invasion in human non-small lung cancer [19], and the expression of LY6K is upregulated by AP-1 transcription factor to facilitate cell growth and metastatic ability in breast cancer [16]. Nevertheless, there are few reports to elucidate the effect of LY6K in ovarian cancer. In the current work, we found that over-expression of LY6K accelerated ovarian cancer cell growth, invasion, migration, and EMT process, whereas restrained cancer cell apoptosis. However, up-regulation of miR-324-3p neutralized the cancer-promoting effect induced by LY6K overexpression. Our work revealed that ZNF252P-AS1 could promote the progression of ovarian cancer cells at least in part via sponging miR-324-3p to upregulate LY6K.

Additionally, knockdown of ZNF252P-AS1 inhibited ovarian cancer tumor growth in vivo, as indicated by the decreased tumor volume and tumor weight, which further indicated that ZNF252P-AS1 might act as a promoter in ovarian cancer progression. However, the underlying mechanisms of ZNF252P-AS1 in vivo have not yet been fully illustrated. Currently, we conducted in vivo experiments and confirmed the anti-tumor effect of ZNF252P-AS1 knockdown in ovarian cancer. More work is required to investigate how ZNF252P-AS1 can be used as a novel therapeutic target for ovarian cancer treatment and to design more efficient treatment regimens. Pharmacological inhibition of ZNF252P-AS1 may be choosed for cancer treatment in the future.


In this report, we found that ZNF252P-AS1 can competitively bind miR-324-3p to enhance LY6K expression, thereby promoting the proliferation, migration and invasion, and inhibiting the apoptosis of ovarian cancer cells (Fig. 9). ZNF252P-AS1/miR-324-3p/LY6KKnockdown of ZNF252P-AS1 could restrain tumorigenesis of ovarian cancer in mouse models, which suggested that ZNF252P-AS1 might be considered as a new potential therapeutic target for ovarian cancer.

Fig. 9
figure 9

A schematic model of ZNF252P-AS1 functions in ovarian cancer cells. Upregulation of ZNF252P-AS1 enhance LY6K expression by competitively binding miR-324-3p, which promoted the proliferation, migration and invasion, and inhibited the apoptosis of ovarian cancer cells

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.


  1. Alaseem A, Alhazzani K, Dondapati P, Alobid S, Bishayee A, Rathinavelu A. Matrix Metalloproteinases: A challenging paradigm of cancer management. Semin Cancer Biol. 2019;56:100–15.

    CAS  PubMed  Google Scholar 

  2. Alhossiny M, Luo L, Frazier WR, Steiner N, Gusev Y, Kallakury B, Glasgow E, Creswell K, Madhavan S, Kumar R, Upadhyay G. Ly6E/K Signaling to TGFβ Promotes Breast Cancer Progression, Immune Escape, and Drug Resistance. Can Res. 2016;76:3376–86.

    CAS  Google Scholar 

  3. Benti S, Tiwari PB, Goodlett DW, Daneshian L, Kern GB, Smith MD, Uren A, Chruszcz M, Shimizu LS, Upadhyay G. Small Molecule Binds with Lymphocyte Antigen 6K to Induce Cancer Cell Death. Cancers. 2020;12:509.

    CAS  PubMed Central  Google Scholar 

  4. Chen Y, Du H, Bao L, Liu W. LncRNA PVT1 promotes ovarian cancer progression by silencing miR-214. Cancer Biol Med. 2018;15:238–50.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Cho SY, Kim K, Park MS, Jang MY, Choi YH, Han S, Shin HM, Chung C, Han HY, Yang JB, Ko YB, Yoo HJ. Expression of Yes-associated protein 1 and its clinical significance in ovarian serous cystadenocarcinoma. Oncol Rep. 2017;37:2620–32.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Coburn SB, Bray F, Sherman ME, Trabert B. International patterns and trends in ovarian cancer incidence, overall and by histologic subtype. Int J Cancer. 2017;140:2451–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Du W, Feng Z, Sun Q. LncRNA LINC00319 accelerates ovarian cancer progression through miR-423-5p/NACC1 pathway. Biochem Biophys Res Commun. 2018;507:198–202.

    CAS  PubMed  Google Scholar 

  8. Endo S, Yoshitake H, Tsukamoto H, Matsuura H, Kato K, Sakuraba M, Takamori K, Fujiwara H, Takeda S, Araki Y. TEX101, a glycoprotein essential for sperm fertility, is required for stable expression of Ly6k on testicular germ cells. Sci Rep. 2016;6:23616.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Fan C, Yuan Q, Liu G, Zhang Y, Yan M, Sun Q, Zhu C. Long non-coding RNA MALAT1 regulates oxaliplatin-resistance via miR-324-3p/ADAM17 axis in colorectal cancer cells. Cancer Cell Int. 2020;20:473.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Fang X, Zhang J, Li C, Liu J, Shi Z, Zhou P. Long non-coding RNA SNHG22 facilitates the malignant phenotypes in triple-negative breast cancer via sponging miR-324-3p and upregulating SUDS3. Cancer Cell Int. 2020;20:252.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Gloss B, Moran-Jones K, Lin V, Gonzalez M, Scurry J, Hacker NF, Sutherland RL, Clark SJ, Samimi G. ZNF300P1 encodes a lincRNA that regulates cell polarity and is epigenetically silenced in type II epithelial ovarian cancer. Mol Cancer. 2014;13:3.

    PubMed  PubMed Central  Google Scholar 

  12. Hu X, Li D, Zhang W, Zhou J, Tang B, Li L. Matrix metalloproteinase-9 expression correlates with prognosis and involved in ovarian cancer cell invasion. Arch Gynecol Obstet. 2012;286:1537–43.

    CAS  PubMed  Google Scholar 

  13. Jin Y, Feng SJ, Qiu S, Shao N, Zheng JH. LncRNA MALAT1 promotes proliferation and metastasis in epithelial ovarian cancer via the PI3K-AKT pathway. Eur Rev Med Pharmacol Sci. 2017;21:3176–84.

    CAS  PubMed  Google Scholar 

  14. Kenny HA, Lengyel E. MMP-2 functions as an early response protein in ovarian cancer metastasis. Cell cycle (Georgetown, Tex). 2009;8:683–8.

    CAS  Google Scholar 

  15. Kong HK, Park SJ, Kim YS, Kim KM, Lee HW, Kang HG, Woo YM, Park EY, Ko JY, Suzuki H, Chun KH, Song E, Jang KY, Park JH. Epigenetic activation of LY6K predicts the presence of metastasis and poor prognosis in breast carcinoma. Oncotarget. 2016;7:55677–89.

    PubMed  PubMed Central  Google Scholar 

  16. Kong HK, Yoon S, Park JH. The regulatory mechanism of the LY6K gene expression in human breast cancer cells. J Biol Chem. 2012;287:38889–900.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Lengyel E, Schmalfeldt B, Konik E, Späthe K, Härting K, Fenn A, Berger U, Fridman R, Schmitt M, Prechtel D, Kuhn W. Expression of latent matrix metalloproteinase 9 (MMP-9) predicts survival in advanced ovarian cancer. Gynecol Oncol. 2001;82:291–8.

    CAS  PubMed  Google Scholar 

  18. Li S, Jia H, Zhang Z, Wu D. LncRNA GAS6-AS1 facilitates the progression of breast cancer by targeting the miR-324–3p/SETD1A axis to activate the PI3K/AKT pathway. European journal of cell biology. 2020;99:151124.

    CAS  PubMed  Google Scholar 

  19. Liao XH, Xie Z, Guan CN. MiRNA-500a-3p inhibits cell proliferation and invasion by targeting lymphocyte antigen 6 complex locus K (LY6K) in human non-small cell lung cancer. Neoplasma. 2018;65:673–82.

    CAS  PubMed  Google Scholar 

  20. Liu C, Li G, Yang N, Su Z, Zhang S, Deng T, Ren S, Lu S, Tian Y, Liu Y, Qiu Y. miR-324-3p suppresses migration and invasion by targeting WNT2B in nasopharyngeal carcinoma. Cancer Cell Int. 2017;17:2.

    PubMed  PubMed Central  Google Scholar 

  21. Liu QY, Jiang XX, Tian HN, Guo HL, Guo H, Guo Y. Long non-coding RNA OIP5-AS1 plays an oncogenic role in ovarian cancer through targeting miR-324-3p/NFIB axis. Eur Rev Med Pharmacol Sci. 2020;24:7266–75.

    PubMed  Google Scholar 

  22. Liu S, Sun J, Cai B, Xi X, Yang L, Zhang Z, Feng Y, Sun Y. NANOG regulates epithelial-mesenchymal transition and chemoresistance through activation of the STAT3 pathway in epithelial ovarian cancer. Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine. 2016;37:9671–80.

    CAS  Google Scholar 

  23. Long J, Menggen Q, Wuren Q, Shi Q, Pi X. Long Noncoding RNA Taurine-Upregulated Gene1 (TUG1) Promotes Tumor Growth and Metastasis Through TUG1/Mir-129-5p/Astrocyte-Elevated Gene-1 (AEG-1) Axis in Malignant Melanoma. Medical science monitor : international medical journal of experimental and clinical research. 2018;24:1547–59.

    Google Scholar 

  24. Luo L, Mcgarvey P, Madhavan S, Kumar R, Gusev Y, Upadhyay G. Distinct lymphocyte antigens 6 (Ly6) family members Ly6D, Ly6E, Ly6K and Ly6H drive tumorigenesis and clinical outcome. Oncotarget. 2016;7:11165–93.

    PubMed  PubMed Central  Google Scholar 

  25. Lv T, Song K, Zhang L, Li W, Chen Y, Diao Y, Yao Q, Liu P. miRNA-34a decreases ovarian cancer cell proliferation and chemoresistance by targeting HDAC1. Biochemistry and cell biology. 2018;96:663–71 = Biochimie et biologie cellulaire.

    CAS  PubMed  Google Scholar 

  26. Ma F, Li W, Liu C, Yu H, Lei B, Ren Y, Li Z, Pang D, Qian C. MiR-23a promotes TGF-β1-induced EMT and tumor metastasis in breast cancer cells by directly targeting CDH1 and activating Wnt/β-catenin signaling. Oncotarget. 2017;8:69538–50.

    PubMed  PubMed Central  Google Scholar 

  27. Matsuda R, Enokida H, Chiyomaru T, Kikkawa N, Sugimoto T, Kawakami K, Tatarano S, Yoshino H, Toki K, Uchida Y, Kawahara K, Nishiyama K, Seki N, Nakagawa M. LY6K is a novel molecular target in bladder cancer on basis of integrate genome-wide profiling. Br J Cancer. 2011;104:376–86.

    CAS  PubMed  Google Scholar 

  28. Matz M, Coleman MP, Carreira H, Salmerón D, Chirlaque MD, Allemani C. Worldwide comparison of ovarian cancer survival: Histological group and stage at diagnosis (CONCORD-2). Gynecol Oncol. 2017;144:396–404.

    PubMed  Google Scholar 

  29. Moisan F, Francisco EB, Brozovic A, Duran GE, Wang YC, Chaturvedi S, Seetharam S, Snyder LA, Doshi P, Sikic BI. Enhancement of paclitaxel and carboplatin therapies by CCL2 blockade in ovarian cancers. Mol Oncol. 2014;8:1231–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Nabeshima K, Inoue T, Shimao Y, Sameshima T. Matrix metalloproteinases in tumor invasion: role for cell migration. Pathol Int. 2002;52:255–64.

    CAS  PubMed  Google Scholar 

  31. Narod S. Can advanced-stage ovarian cancer be cured? Nat Rev Clin Oncol. 2016;13:255–61.

    CAS  PubMed  Google Scholar 

  32. Sastry NG, Wan X, Huang T, Alvarez AA, Pangeni RP, Song X, James CD, Horbinski CM, Brennan CW, Nakano I, Hu B, Cheng SY. LY6K promotes glioblastoma tumorigenicity via CAV-1-mediated ERK1/2 signaling enhancement. Neuro Oncol. 2020;22:1315–26.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Shiota M, Zardan A, Takeuchi A, Kumano M, Beraldi E, Naito S, Zoubeidi A, Gleave ME. Clusterin mediates TGF-β-induced epithelial-mesenchymal transition and metastasis via Twist1 in prostate cancer cells. Can Res. 2012;72:5261–72.

    CAS  Google Scholar 

  34. Stenzel AE, Buas MF, Moysich KB. Survival disparities among racial/ethnic groups of women with ovarian cancer: An update on data from the Surveillance, Epidemiology and End Results (SEER) registry. Cancer epidemiology. 2019;62:101580.

    PubMed  Google Scholar 

  35. Sun GL, Li Z, Wang WZ, Chen Z, Zhang L, Li Q, Wei S, Li BW, Xu JH, Chen L, He ZY, Ying K, Zhang X, Xu H, Zhang DC, Xu ZK. miR-324-3p promotes gastric cancer development by activating Smad4-mediated Wnt/beta-catenin signaling pathway. J Gastroenterol. 2018;53:725–39.

    CAS  PubMed  Google Scholar 

  36. Upadhyay G. Emerging Role of Lymphocyte Antigen-6 Family of Genes in Cancer and Immune Cells. Front Immunol. 2019;10:819.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Vargas AN. Natural history of ovarian cancer. Ecancermedicalscience. 2014;8:465.

    PubMed  PubMed Central  Google Scholar 

  38. Visapää H, Seligson D, Eeva M, Gaber F, Rao J, Belldegrun A, Palotie A. 8q24 amplification in transitional cell carcinoma of bladder. Applied immunohistochemistry & molecular morphology : AIMM. 2003;11:33–6.

    Google Scholar 

  39. Wang Y, Yang T, Zhang Z, Lu M, Zhao W, Zeng X, Zhang W. Long non-coding RNA TUG1 promotes migration and invasion by acting as a ceRNA of miR-335-5p in osteosarcoma cells. Cancer Sci. 2017;108:859–67.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Wang Z, Liu Z, Yang Y, Kang L. Identification of biomarkers and pathways in hypertensive nephropathy based on the ceRNA regulatory network. BMC Nephrol. 2020;21:476.

    CAS  PubMed  PubMed Central  Google Scholar 

  41. Xie N, Fei X, Liu S, Liao J, Li Y. LncRNA LOXL1-AS1 promotes invasion and proliferation of non-small-cell lung cancer through targeting miR-324-3p. American journal of translational research. 2019;11:6403–12.

    CAS  PubMed  PubMed Central  Google Scholar 

  42. Xue Y, Lv J, Xu P, Gu L, Cao J, Xu L, Xue K, Li Q. Identification of microRNAs and genes associated with hyperandrogenism in the follicular fluid of women with polycystic ovary syndrome. J Cell Biochem. 2018;119:3913–21.

    CAS  PubMed  Google Scholar 

  43. Yang H, Qi Y, Wang XL, Gu JJ, Shi TM. Down-regulation of lncRNA BLACAT1 inhibits ovarian cancer progression by suppressing the Wnt/β-catenin signaling pathway via regulating miR-519d-3p. Mol Cell Biochem. 2020;467:95–105.

    CAS  PubMed  Google Scholar 

  44. Yang N, Zhang Q, Bi XJ. MiRNA-96 accelerates the malignant progression of ovarian cancer via targeting FOXO3a. Eur Rev Med Pharmacol Sci. 2020;24:65–73.

    CAS  PubMed  Google Scholar 

  45. Zhang JP, Zeng C, Xu L, Gong J, Fang JH, Zhuang SM. MicroRNA-148a suppresses the epithelial-mesenchymal transition and metastasis of hepatoma cells by targeting Met/Snail signaling. Oncogene. 2014;33:4069–76.

    CAS  PubMed  Google Scholar 

  46. Zhao W, Han T, Li B, Ma Q, Yang P, Li H. miR-552 promotes ovarian cancer progression by regulating PTEN pathway. Journal of ovarian research. 2019;12:121.

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Zhao X, Bai Z, Li C, Sheng C, Li H. Identification of a Novel Eight-lncRNA Prognostic Signature for HBV-HCC and Analysis of Their Functions Based on Coexpression and ceRNA Networks. Biomed Res Int. 2020;2020:8765461.

    PubMed  PubMed Central  Google Scholar 

  48. Zhao Z, Zhou W, Han Y, Peng F, Wang R, Yu R, Wang C, Liang H, Guo Z, Gu Y. EMT-Regulome: a database for EMT-related regulatory interactions, motifs and network. Cell death & disease. 2017;8:e2872.

    CAS  Google Scholar 

Download references





Author information

Authors and Affiliations



Li Geng designed the study; Zhongqiu Wang performed the research; Yongju Tian analyzed data; Li Geng wrote the paper. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Yongju Tian.

Ethics declarations

Ethics approval and consent to participate

The experimental protocol of our study was performed in accordance with the Guide for the Care and Use of Laboratory Animals and approved by Yantaishan Hospital.

Consent for publication

Not applicable.

Competing Interests

The authors declare that they have no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Geng, L., Wang, Z. & Tian, Y. Down-regulation of ZNF252P-AS1 alleviates ovarian cancer progression by binding miR-324-3p to downregulate LY6K. J Ovarian Res 15, 1 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Ovarian cancer
  • ZNF252P-AS1
  • miR-324-3p
  • LY6K