Open Access

Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer

  • Authors:
    • Yu Yang
    • Hui Zhang
    • Yajiao Xie
    • Shufen Zhang
    • Junyou Zhu
    • Gang Yin
    • Guang Shu
    • Yu Zhang
  • View Affiliations

  • Published online on: November 2, 2017
  • Pages:368-374
  • Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Ovarian cancer (OC) is an aggressive disease with few valuable biomarkers and effective therapies. In this study, we aimed to elucidate biomarkers associated with OC metastasis into the omentum. We performed comprehensive screening of non‑coding RNAs (ncRNAs) between matched primary OC and omental metastasis using the Agilent human lncRNA Array V3.0 microarray. Reverse transcription quantitative polymerase chain reaction (RT‑qPCR) was used to validate the microarray results at the mRNA level. Microarray revealed 235 ncRNAs changes, and we validated the top four differential changed genes in an additional 27 paired samples with RT‑qPCR. We found that myocardial infarction associated transcript (MIAT) expression increased in the omentum tissue, while small nucleolar RNA, C/D Box 114 cluster (SNORD114) family members SNORD114‑10, SNORD114‑2 and SNORD114‑11 were downregulated when compared with OC tissue. However, there is no significant difference in SNORD114‑2 and SNORD114‑11 levels. We thus infer that differential expression of MIAT and SNORD114‑10 could play an important role during OC metastasis. These ncRNAs might be useful as pre‑diagnostic biomarkers at the early stage of cancer metastasis.


Epithelial ovarian cancer (EOC) is the most aggressive malignant gynecological disease, and the 5-year survival rate of patients less than 30% (1). It is estimated that 22,280 new diagnoses and 14,240 deaths from this neoplasm were reported in 2016 in the US (2). Currently, there is no effective approach for the detecting of EOC in early stage, because patients in early stage have no obvious symptoms. Almost 70% patients were diagnosed in advanced stage with predominant ascites and wide spread implant lesions in abdominal cavity. Ovarian cancer (OC) metastasis is characterized by the shedding of malignant cells from the surface of the ovary and their implantation onto the peritoneal surface (3,4). Unlike other solid tumors, no anatomical barrier exists to block OC metastasis inside the peritoneal cavity. Although the metastasis of EOC has no common patterns, some researchers thought the omentum was the preferentially implanted site of EOC (5). The omentum, which is the largest peritoneal fold in the peritoneal cavity, plays critical role in several physiological process including fat deposition, immune contribution and infection isolation. The ‘omental caking’, indicating the thickness of omentum after invasion of OC at the late stage, is one of a distinct pattern of advanced EOC (6). In the relative early stage of EOC, the pathologist can also find OC cells in the omentum after surgery. Patients without omental caking show slighter metastasis and better prognosis (7). Thus, it was inferred that the omentum might actually provide ‘optimal’ sign for the migration of cancer cells. Therefore, we can know the metastatic manner of EOC by comparing the invaded omentum with the primary tumor. And it can provide novel potential biomarkers for screening the early metastasis and developing new treatment strategies of the treatment by resisting the spread of the cancer cells.

In the present study, we identified the non-coding RNAs (ncRNAs) between primary ovarian tumors and omental metastatic tissue using microarray analysis. The candidate altered genes, which selected by the microarray analysis results, were further validated by Reverse transcription quantitative polymerase chain reaction (RT-qPCR). We also clustered the subgroup based on patient age, International Federation of Gynecology and Obstetrics (FIGO) stage (8), pathological grade, and omental metastatic stage.

Materials and methods

Study samples

All the samples were collected after surgery performed in Xiangya Hospital of Central South University (Changsha, China) between March 2013 and May 2015. A total of 48 paired OC and omental fresh samples were stored in −80°C for RT-qPCR analysis. The clinic pathologic data were obtained from medical records and pathologic reports. Prior informed consent was obtained from all recruited patients for ovarian carcinoma tissues collection and the publication of their data. The study was approved by the Ethics Committee of Xiangya Hospital of Central South University (reference: 201604556).

Gene chip hybridization and data analysis

Total RNA was extracted using the TRIzol method (Shanghai Sangong Pharmaceutical Co., Ltd., Shanghai, China) according to the manufacturer's instructions. Total RNA was quantified by the Nano Drop ND-2000 (Thermo Fisher Scientific, Inc., Waltham, MA, USA) and the RNA integrity was assessed using Agilent Bioanalyzer 2100 (Agilent Technologies, Inc., Santa Clara, CA, USA). Prime Script RT-PCR kit (Takara, Dalian, China) was utilized for reverse transcription, then total RNA were transcribed to double strand cDNA, after that synthesized into cRNA and labeled with Cyanine-3-CTP. The labeled cRNAs were hybridized onto the microarray. After washing, the arrays were scanned with an Agilent Scanner G2505C (Agilent Technologies, Inc.). Feature Extraction software (version; Agilent Technologies, Inc.) was used to obtain raw data from the array images. GeneSpring was employed for basic analysis of raw data. First, raw data were normalized with the quantile algorithm. Probes with at least 1 of 2 conditions having flags in ‘P’ were chosen for further data analysis. The ncRNAs were then identified through fold change as well as P-value calculated with t-test. The threshold set for up- and downregulated genes was a fold change ≥2.0 and a P-value ≤0.05. Finally, hierarchical clustering of genes based on clinic pathologic data was performed.

Quantitative real-time polymerase chain reaction

Total RNA was extracted using the TRIzol method and reverse transcribed to cDNA by using PrimeScript RT-PCR kit (Takara) in accordance with the manufacturer's protocol. Real time PCR was performed on a ViiA 7 Real-Time Fluorescent Quantitative PCR system (Thermo Fisher Scientific, Inc.). The PCR amplification conditions were 40 cycles of 95°C for 30 sec, 95°C for 5 sec, 60°C for 34 sec. Primers of target genes are as follows: U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′. U6 was used as the reference gene. myocardial infarction associated transcript (MIAT) forward, 5′-GGAACAAGGATGGGAGTCG-3′ and reverse, 5′-GCACTGAGCAAATGGAGACA-3′. Small nucleolar RNA, C/D Box 114 cluster (SNORD114)-10, reverse transcription primer, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGTGGACCTC-3′, forward, 5′-ACACTCCAGCTGGGAAGATCAATGATGACT-3′ and universal primer, 5′-ACTGACTGATGCAATCTCAACTGGTGTCGTGGA-3′. SNORD114-2 reverse transcription primer, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGTGGACCTC-3′, forward, 5′-ACACTCCAGCTGGGGGACCAATGATAATG-3′ and universal primer, 5′-ACTGACTGATGCAATCTCAACTGGTGTCGTGGA-3′. SNORD114-11, reverse transcription primer, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGTGGACCTC-3′, forward, 5′-ACACTCCAGCTGGGTGGACCAGTGATGGTG-3′ and universal primer, 5′-ACTGACTGATGCAATCTCAACTGGTGTCGTGGA-3′. Abundance was calculated using the 2-ΔCT method. SPSS 18.0 statistical software package (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis; error bars represent the standard error of the mean. Statistical analyses were performed using paired and t-test and non-parametric test. P<0.05 was considered as statistically significant.


Comprehensive analysis of ncRNAs in primary and metastatic OC

The differentiate expressed ncRNAs in 3 paired OC/omental metastasis (OM) samples were determined by microarray analysis. Hierarchical clustering revealed that 179 and 56 of the 235 differentially expressed ncRNAs were up- and downregulated, respectively (Fig. 1A). Among the ncRNAs, MIAT (P=0.015) was upregulated, whereas SNORD114-2 (P=0.024) SNORD114-10 (P=0.0002) and SNORD114-11 (P=0.0001) were downregulated (Fig. 1B). We further validated the expression level of the four genes in 3 matched primary and metastatic OC by RT-qPCR, the expression trend of the genes were consistent with the results of chip (Fig. 2). MIAT (P=0.0363) expression increased in the omentum, while SNORD114-2 (P=0.0246), SNORD114-10 (P=0.0025) and SNORD114-11 (P=0.1125) were downregulated in OM tissues compared to OC tissues.

The expressions of MIAT SNORD114-10 SNORD114-2 SNORD114-11 genes in OC

To validate the array data, RT-qPCR was performed with 27 pairs of ovarian and omentum cancer tissues. In the four genes, MIAT (P=0.023) was statistically significant upregulated in omentum tissues (Fig. 3A), while SNORD114-10 (P=0.025) SNORD114-2 (P=0.082) and SNORD114-11 (P=0.132) were downregulated in omental tissues (Fig. 3B-D). Furthermore, to verify MIAT and SNORD114-10 expression changes indeed originate from cancer cells, we identified the MIAT and SNORD114-10expressionin another 21 early stage OC samples without OM compares with the expression in paired normal omental tissue. The expression level of these two genes showed no statistically significant difference between ovarian and omental tissues (P>0.05) (Fig. 4A and B).

Association between genes expression and prognostic factors in OC

A total of 48 paired clinical samples analyzed above were derived from OC patients aged 21–77 years. The pathological appearance was divided into two stages as ovarian low-grade serous adenocarcinoma (LGSC) or high-grade serous adenocarcinoma (HGSC) according to the FIGO. The expression of SNORD114-10 in OC samples was not correlated with age, FIGO division, pathological classification or the presence of omental metastases (P>0.05) (Table I). This was essentially the same pattern as for MIAT, with the exception that levels of this ncRNA were significantly lower in omental samples with metastases (P=0.042) (Table I).

Table I.

Correlations between MIAT and SNORD114-10 expression and clinicopathlogical features.

Table I.

Correlations between MIAT and SNORD114-10 expression and clinicopathlogical features.


FactorsCases2-ΔCT (mean ± SD)P-value2-ΔCT (mean ± SD)P-value
Age (years) 0.597 0.205
  <5022 0.00034±0.00035 0.1079±0.0816
  ≥5026 0.00041±0.00055 0.1446±0.1108
FIGO stage 0.251 0.539
  I–II13 0.00051±0.00039 0.1424±0.1078
  III–IV35 0.00033±0.00049 0.1224±0.0969
FIGO grade 0.434 0.100
  Low  9 0.00049±0.00033 0.0787±0.068
  High39 0.00038±0.00031 0.1391±0.1024
Omentum metastasis 0.042a 0.773
  Yes27 0.00024±0.00020 0.1241±0.0999
  No21 0.00055±0.00063 0.1326±0.1005

a P<0.05. MIAT, myocardial infarction associated transcript; SNORD114, small nucleolar RNA, C/D Box 114 cluster; FIGO, International federation of Gynecology and Obstetrics; SD, standard deviation.


The mortality rate of OC is ranked top one among all gynecological malignancies, and as high as 75% of diagnosed patients are already in the late stage. It is difficult to detect omentum metastasis in OC patients due to the lacking of obvious symptoms and specific markers at early stage. At the same time, limited understanding about the mechanism of tumor formation also hinders the development of new treatments. The ncRNA as a new tumor marker, in the occurrence and development of tumors play an important role in the treatment of cancer for people to provide a new way of thinking.

In the present study we used microarray to determine the ncRNAs profile between OC and OM. To the best of our knowledge, we are the first research group to report the alterations in ncRNA expression in OC, and to show that SNORD114-10 levels are reduced in OM, while MIAT levels are increased when compared to OC tissue. Consequently, we believe that the expression of MIAT and SNORD114-10 are important factors that contribute to migration of ovarian tumor cells from the primary site to the omentum.

OC is associated with the highest mortality rates of all gynecologic malignancies (9). The metastatic potential of OC cells is influenced by a series of complex process, with the most common metastatic sites being the peritoneum and omentum and the disease progresses rapidly when malignant cells reach these secondary sites (4). Based on the ‘seed and soil’ hypothesis, we decided to investigate genes that may contribute to the ‘soil’ properties of the omentum.

According to the results of RT-PCR, MIAT was upregulated and SNORD114-10 was downregulated in the omentum in metastatic disease cases. However, there was no statistical difference between OC with OM and OC without OM. Thus, we speculate that the migration in OC is not a tumor cell-intrinsic property, but rather is dependent on the omentum ‘soil’ which provides the conditions for tumor development and subsequent disease acceleration.

ncRNAs usually perform catalytic or regulatory functions (10), and can be classified as small (<200 bps) or long ncRNAs (>200 bps) (11). Over the past few years, many ncRNAs have been identified including H19 (12) and Xist (13). Our present study demonstrates that the expression of SNORD114-10 and MIAT were differentially regulated in metastatic omentum compared to non-infiltrated tissue. Previous studies have shown that some lncRNAs are differentially expressed in primary and metastatic tumors (14,15). Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a well-known carcinogenic lncRNA that is highly expressed in lung metastases (16). Elevated MALAT1 in different tumors predicts shorter metastasis-free survival (MFS), deep tissue invasion (17), higher histological grade (18), and lower overall survival (OS) (19). Similar to MALAT1, HOX transcript antisense intergenic RNA (HOTAIR) is closely related to the occurrence and development of tumor metastasis (2023). Zhang et al (24) found that MIR4697 host gene (MIR4697HG) in cancerous tissues increased compared with that in adjacent noncancerous tissues. It could promote OC growth and metastasis. The aggressive role of MIR4697HG in OC may be related to the ERK and AKT signaling pathways.

MIAT was described as a ncRNA expressed in mitotic progenitors (25), and RNA-FISH indicated that it was expressed in the inner nuclear layer (INL) and the ganglion cell layer (GCL) in humans. The research shows that MIAT functional abnormalities are associated with the risk of myocardial infarction, it also plays a regulatory role in other areas, including retinal cell growth, brain development and fibrosis after filamentous fibrosis (26,27). Moreover, a previous study reported that high expression of MIAT leads to abnormal endothelial cell proliferation and cell migration during early retinal microvascular dysfunction (28). Luan et al (29) found that MIAT downregulation inhibited the epithelial-mesenchymal transition (EMT) and decreased migration and invasion in MDA-MB-231 and MCF-7 breast cancer cell lines. They also suggested that MIAT promotes breast cancer progression and functions as competing endogenous RNA (ceRNA) to regulate dual specificity phosphatase 7 (DUSP7) expression by sponging miR-155-5p in breast cancer. Shen et al (30) found that MIAT acted as a ceRNA, and formed a feedback loop with AKT and miR-150-5p to regulate Human lens epithelial cell (HLEC) function. Our current results showing that MIAT was almost 3-fold higher in OM tissue when compared with OC. Therefore, we hypothesize that MIAT may promote the metastasis of OC, which may be through the regulation of certain genes or through the EMT or AKT pathway to promote OC metastasis. Next we will determine whether MIAT can regulate migration in OC cells by silencing and over-expressing MIAT. Further study are required to determine the role of MIAT (the correlation between) in OC metastasis/the metastssis of OC.

Emerging evidence indicates that snoRNAs can play several non-classical roles, including reactive oxygen species scavenging in the cytoplasm and being precursors for microRNA-like molecules (3133). Although the functional map of snoRNA has not been fully elucidated, snoRNA is likely to play an important regulatory role in the development and progression of cancer. According to new molecular mechanisms that have been found (34). Some snoRNAs are implicated in tumorigenesis, such as the tumor suppressors SNOR12 and SNOR44, and the tumor promoters SNOD33 and U70C (35). Interestingly, Mei et al reported high expression of SNORA42 in lung cancer, and concluded that this ncRNA might be oncogenic (36). Gee et al (37) demonstrated that SNORD48 expression was significantly lower in low-grade breast cancers, whereas high SNORD44 expression in breast and non-small cell lung cancer indicated a better prognosis. Therefore, SNORD44 and SNORD48 play a suppressing tumor function role in these cancers. Valleron et al found SNORD112, SNORD113 and SNORD114 ectopic expression in acute promyelocytic leukemia (APL), and further molecular studies also shown SNORD114-1 variants through the retinoblastoma gene (Rb)/p16 signaling pathway, allowing cells to block G0/G1 and reduce the proportion of S phase, thereby inhibiting cell growth (38). At the same time, it has been found that SNORD123 was highly expressed in colorectal cancer cells and could affect tumorigenesis by epigenetic modification (39). The levels of SNORD33, SNORD66 and SNORD76 in the plasma of patients with non-small cell lung cancer were significantly higher than those in healthy and chronic obstructive pulmonary diseases, and had the value of early diagnosis of lung cancer (40). Overall, snoRNA was closely correlated with the pathogenesis and progression of various tumors, but the expression pattern and functional role of snoRNA in OC has not been elucidated.

Here, we found that SNORD114-10 levels were reduced in metastatic omentum, suggesting that this snoRNA might have properties that suppress migration of ovarian tumor cells to secondary sites. SNORD114-10 maybe inhibited the metastasis of OC by regulating the expression of certain genes or through the EMT or AKT pathway. Next we will determine whether SNORD114-10 can regulate migration in OC cells by silencing and over-expressing SNORD114-10. Further study are required to determine the role of SNORD114-10 (the correlation between) in OC metastasis/the metastssis of OC.

Because preoperative OC omentum metastasis is difficult to diagnose, so it is not conducive to preoperative surgical options. Therefore, we believe that MIAT and SNORD114-10 can be used as a marker of OC OM, which can guide OC patients' preoperative choice.


The present study was supported by the Fundamental Research Funds of Central South University (no. 2015zzts297), Program for Science and Technology Plan of Hunan Province (no. 2013FJ4114) and Applied of Fundamental Research Key Prjoect (no. 2016JC2036). We are grateful for all the contributions that supported this study.



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January 2018
Volume 15 Issue 1

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Yang, Y., Zhang, H., Xie, Y., Zhang, S., Zhu, J., Yin, G. ... Zhang, Y. (2018). Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer. Oncology Letters, 15, 368-374.
Yang, Y., Zhang, H., Xie, Y., Zhang, S., Zhu, J., Yin, G., Shu, G., Zhang, Y."Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer". Oncology Letters 15.1 (2018): 368-374.
Yang, Y., Zhang, H., Xie, Y., Zhang, S., Zhu, J., Yin, G., Shu, G., Zhang, Y."Preliminary screening and identification of differentially expressed metastasis‑related ncRNAs in ovarian cancer". Oncology Letters 15, no. 1 (2018): 368-374.