This article is mentioned in:

Introduction

Cholesteatoma is a pathologically benign chronic middle ear disease, but potentially destructive epithelial lesion caused by aberrant keratinocyte proliferation and migration which can result in erosion of adjacent osseous structures, leading to various clinical manifestations and serious complications (1). Bone resorption of the middle and inner ear can cause hearing loss, tinnitus, dizziness, and facial paralysis. Erosion of the tegmen may lead to many severe intracranial complications, including sigmoid sinus thrombophlebitis, extradural, subdural or brain abscess, meningitis, and hydrocephalus (2–5). To date, there is no drug therapy for cholesteatoma and the standard treatment is surgical resection (2). In addition, postoperative recurrences are very common; thus many patients undergo multiple surgeries (4,5).

Nevertheless, the exact underlying cellular and molecular mechanisms of cholesteatoma are still unclear. Previous studies indicated that, during cholesteatoma formation, epithelial proliferation and keratinocyte differentiation are regulated by high activity of growth factors (6). Cytokines are also supposed to play important roles in the aggressive behavior of cholesteatoma (6). In addition to those inflammatory mediators and growth factors, aberrant expression of regulatory microRNAs (miRNAs), the best-studied non-coding RNAs (ncRNAs), play a role in cholesteatoma formation (7–10). However, due to a complementarity of merely 6 base pairs (bp) nt can be sufficient for target recognition, a miRNA can regulate hundreds of mRNAs, and correspondingly, a mRNA can be regulated by several miRNAs (11), leading to the difficulties encountered when clarifying the molecular mechanisms underlying cholesteatoma.

In 2011, Salmena et al introduced the competitive endogenous RNA (ceRNA) hypothesis that all types of RNA transcripts can communicate with and regulate each other by using shared microRNA response elements (MREs) (12), which provides us with a new perspective for research on the cholesteatoma formation process. CeRNAs, also termed endogenous miRNA sponges, act as decoy molecules that absorb active miRNAs and buffer regulation activities of miRNAs on their targeted mRNAs (13).

Salmena et al proposed that the ceRNA protagonists are miRNAs, the protein coding genes, pseudogenes, and long non-coding RNAs (lncRNAs). lncRNAs, which are noncoding RNAs longer than 200 nt, can regulate each other with miRNAs and function in almost every aspect of human biology, including chromatin modification, transcriptional regulation, post-transcriptional processing, RNA editing, RNA trafficking, cell cycle regulation, alternative splicing, and organelle biogenesis (14,15). In the past decade, with the emergence of microarray and high-throughput sequencing techniques, lncRNAs have attracted the attention and have been involved in epigenetic mechanisms of various diseases and display ceRNA potential in many diseases (16–23). Nevertheless, to date, no studies have addressed the expression profiles of lncRNAs in cholesteatoma.

Therefore, in the present study, we performed microarray analysis to identify the differentially expressed patterns of lncRNAs and mRNAs between cholesteatoma and normal skin tissues. Quantitative RT-PCR was applied to confirm the reliability of microarray expression data. With specific bioinformatics approaches, we constructed the lncRNA-miRNA-mRNA ceRNA network to explore the ceRNA potential of lncRNAs in cholesteatoma.

Material and methods

Patients and specimens

Cholesteatoma tissue and matched post-auricular normal skin tissue were sampled in each patient. A total of 7 patients aged 18–32 years who underwent unilateral middle ear cholesteatoma surgeries between June 2016 and November 2016 at the Department of Otorhinolaryngology, Peking Union Medical College Hospital were enrolled in this study. All participants provided written informed consent and were clinically and histologically confirmed to present with cholesteatoma. All specimens were stored at −80°C immediately after collection for later RNA extraction. Ethical approval for the study was obtained from the Ethics Committee of Peking Union Medical College Hospital (no. S-K292).

RNA extraction and quality control

Total RNA was extracted from cholesteatoma and post-auricular skin tissues using TRIzol reagent (Invitrogen, Carlsbad, CA, USA), according to the manufacturer's instructions. RNA quantity and quality were assessed by NanoDrop ND-1000. RNA integrity was assessed by standard denaturing agarose gel electrophoresis or Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA).

Microarray analysis

Four pairs of cholesteatoma and post-auricular skin tissues were used for microarray assay to determine differentially expressed lncRNAs and mRNAs comparing cholesteatoma and post-auricular skin specimens. Sample labeling and array hybridization were performed according to the Agilent One-Color Microarray-Based Gene Expression Analysis protocol (Agilent Technologies, Englewood, CO, USA) with minor modifications. The hybridized arrays were washed, fixed, and scanned using the Agilent DNA Microarray Scanner (part no. G2505C). Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization and subsequent data processing were performed using the GeneSpring GX v12.1 software package (Agilent Technologies, Englewood, CO, USA). After quantile normalization of the raw data, lncRNAs and mRNAs in the 8 samples flagged as ‘Present’ or ‘Marginal’ were chosen for further data analysis. Differentially expressed lncRNAs and mRNAs with statistical significance between the two groups were identified through P-value/FDR filtering. Differentially expressed lncRNAs and mRNAs between the two samples were identified through Fold Change filtering. Pathway analysis and Gene ontology (GO) analysis were applied to determine the roles played by these differentially expressed mRNAs in these biological pathways or GO terms. Hierarchical clustering and combined analysis were performed by using in-house scripts.

Functional group analysis

GO provides a controlled vocabulary to describe gene function and relationships between these concepts in any organism (http://www.geneontology.org). GO covers three aspects: Biological process, cellular component, and molecular function. Fisher's exact test was applied to determine whether the overlap between the differentially expressed (DE) list and the GO annotation list is greater than that expected by chance. The -log10 (P-value) was used to denote the significance of the GO term enrichment in the DE genes. FDR represents the false discovery rate. The lower the P-value is, the more significant the GO term is (a P-value <0.05 is recommended). Pathway analysis was performed to collect pathway clusters on the molecular interaction and reaction networks by mapping genes to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (http://www.genome.jp/kegg/). The -log10 (P-value) denotes the significance of the pathway correlations. The lower the P-value is, the more significant the correlation is (a P-value <0.05 is recommended).

Quantitative real-time PCR validation

The selected lncRNAs and primers used for qRT-PCR were designed using Primer 5.0 and synthesized by Generay Biotech (Shanghai, China). β-actin was used as an internal control for all samples. Primer sequences were as follows: β-actin forward, 5′-GTGGCCGAGGACTTTGATTG-3′ and reverse, 5′-CCTGTAACAACGCATCTCATATT-3′; ENST00000415386 forward, 5′-TGGAGTAGGCACAGACGGAA-3′ and reverse, 5′-GACTGTGGTACAATCGCTTCG-3′; ENST00000420253 forward, 5′-CGATGTCAACCCTCGAACCT-3′ and reverse, 5′-TCAGATGTGGCCCACTGTCT-3′; NR_024468 forward, 5′-GCTTACATTTTCTCTGCCATCTC-3′ and reverse, 5′-CCACTTTCCTTTCTCTCTCTTCT-3′; T044224 forward, 5′-TGCGAAAACACTGCGATTG-3′ and reverse, 5′-GGTTGGACCAGACCAGATGA-3′; T347175 forward, 5′-GAAAGAGGCACTGCTGTTGA-3′ and reverse, 5′-GGCTGCTCCCAGAATAGATAG-3′; uc001kfc.1 forward, 5′-TTCCCAGAAGGCGTAGGTT-3′ and reverse, 5′-GACAGAGTCTCCCTCTATCATCC-3′; qRT-PCR was performed by using ViiA 7 Real-time PCR System (Applied Biosystems, San Jose, CA, USA) with a SYBR expression assay system (Takara Biotechnology, Co., Ltd., Dalian, China). The PCR reaction conditions were as follows: An initial denaturation at 95°C for 10 min, followed by 40 PCR cycles at 95°C for 10 sec and 60°C for 60 sec. Then annealing and extension at 95°C for 10 sec, 60°C for 60 sec and 95°C for 15 sec. Each sample was assayed in triplicates. The 2−ΔΔCt method was used to determine fold-change in gene expression in the cholesteatoma samples relative to the normal skin samples. For statistical analysis, we used unpaired t-test to compare the expression of lncRNAs between cholesteatoma and normal skin samples. P<0.05 was considered to indicate a statistically significant difference.

Competing endogenous network analysis

All potential miRNA response elements were searched based on the sequences of lncRNAs and mRNAs. LncRNA/miRNA/mRNA interactions were predicted by the overlapping of the miRNA seed sequence binding site both on the chosen dysregulated lncRNAs and the significantly dysregulated mRNA. miRBase V19 was selected to interact with the lncRNAs and mRNAs (http://www.mirbase.org/). LncRNA/miRNA interactions were predicted by miRcode (http://www.mircode.org/). miRNA/mRNA interactions were predicted by miRanda (www.microrna.org/) and TargetScan (http://www.targetscan.org/).

Results

LncRNAs and mRNAs present significantly different expression profiles in cholesteatoma compared to matched normal skin specimens

A microarray analysis was performed to profile differences in lncRNA and mRNA expression between 4 pairs of cholesteatoma and matched normal skin samples. According to microarray expression profiling data, 11,815 lncRNAs and 7,692 mRNAs were detected. The lncRNAs were carefully collected from the most authoritative databases such as RefSeq, UCSC Known Genes, Gencode, and other related sources. According to their relation with protein-coding genes, all deregulated lncRNAs in cholesteatoma were classified into six categories: Bidirectional (4.46%), exon sense-overlapping (1.16%), intron sense-overlapping (3.47%), natural antisense (8.75%), intronic antisense (12.71%) and intergenic (69.47%) (Fig. 1). Hierarchical clustering revealed that lncRNA and mRNA expression patterns between cholesteatoma and matched normal skin tissues were distinguishable (Fig. 2A and B). Volcano plots were used for visualization and assessment of the variation (or reproducibility) of lncRNA and mRNA expression between cholesteatoma and matched normal skin tissues (Fig. 2C and D).

Figure 1. Counts and types of differentially regulated lncRNAs. (A) Counts and types of upregulated lncRNAs. (B) Counts and types of downregulated lncRNAs. (C) All dysregulated lncRNAs were classifed into six categories: Bidirectional (4.46%), exon sense-overlapping (1.16%), intron sense-overlapping (3.47%), natural antisense (8.75%), intronic antisense (12.71%) and intergenic (69.47%).

Figure 2. Hierarchical clustering and volcano plots. Hierarchical clustering shows (A) lncRNA and (B) mRNA expression patterns between cholesteatoma (T) and matched normal skin tissues (N). The analysis distinguishes cholesteatomas from matched normal skin tissues by expression level. ‘Red’ indicates high relative expression, and ‘green’ indicates low relative expression. Volcano plots were used to visualize and assess the variation (or reproducibility) of (C) lncRNA and (D) mRNA expression between cholesteatoma and matched normal skin tissues. The values of the x- and y-axes indicate the averaged normalized signal values of the group (log2 scaled). The green lines indicate fold-change lines.

Furthermore, by setting a threshold for differential expression at changes ≥2.0-fold, we identified 787 lncRNAs and 591 mRNAs that were differentially expressed (P<0.05) between cholesteatoma and matched normal skin tissues (Fig. 2C and D). Among them, in cholesteatoma samples, 181 lncRNAs and 155 mRNAs were upregulated (fold change ≥2.0, P<0.05) and 606 lncRNAs and 436 mRNAs were downregulated (fold change ≥2.0, P<0.05) compared with normal skin samples (Fig. 2C and D). The microarray profile and RNAseq data sets have been deposited into Gene Expression Omnibus (GEO) with accession number GSE102673 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE102673).

GO analyses display cholesteatoma-related gene functions of differentially expressed mRNAs

GO analysis was performed to determine the gene and gene product enrichment in categories including biological process (BP), molecular function (MF), and cellular component (CC). LncRNAs can regulate the neighboring and overlapping coding gene expression. Thus, GO enrichment analysis of differentially expressed mRNAs may partially display the role of differentially regulated lncRNAs. In the present study, the target genes of deregulated mRNAs were analyzed and compared with those in cholesteatoma. In the GO analysis, by setting P<0.05, the upregulated and downregulated mRNAs were analyzed separately and the top-10 enriched GO terms of BP, CC, MF were listed (Fig. 3). In BP analysis, regulation of phosphatidylinositol 3-kinase signaling (GO:0014066), phosphatidylinositol 3-kinase signaling (GO:0014065), and positive regulation of phosphatidylinositol 3-kinase signaling (GO:0014068) belonged to top-10 most enriched processes associated with the upregulated mRNAs. Moreover, phosphatidylinositol 3-kinase binding (GO:0043548) was the most significantly enriched function of the upregulated mRNAs in MF analysis (Fig. 3C). It is notable, since phosphatidylinositol 3-kinase (PI3K) has been reported to play a crucial role in the formation of cholesteatoma (24). Furthermore, growth factor activity (GO:0008083), one of the most significantly enriched processes associated with the downregulated mRNAs in MF, is also involved in cholesteatoma formation (25).

Figure 3. Gene ontology (GO) analysis. The top 10 enrichment score GO terms which corresponded to coding gene functions of (A-C) upregulated and (D-F) downregulated differentially expressed lncRNAs are listed respectively. (A and D) biological process; (B and E) cellular component; (C and F) molecular function. Enrichment score indicates the enrichment score value of the GO ID, equivalent to -log10(P-value).

Pathway analyses reveal significant enrichment of potential cholesteatoma-related pathways

By mapping genes to KEGG pathways, we performed pathway analysis (http://www.genome.jp/kegg/pathway.html). KEGG pathway enrichment analysis for differentially expressed mRNAs is devised to comprehend pathways and molecular interactions related to genes. Pathway analysis indicated that 10 enriched pathways corresponded to downregulated mRNAs and 7 pathways corresponded to upregulated mRNAs (P<0.05, Fig. 4). The pathways enriched with upregulated lncRNAs were involved in a category ‘bacterial invasion of epithelial cells (hsa05100)’ that is involved in the molecular mechanisms of cholesteatoma (26). Furthermore, ‘viral myocarditis (hsa05416)’ and ‘Hepatitis B (hsa05161)’ were also related to the molecular biology of cholesteatoma (6).

Figure 4. Pathway analysis. The top 10 enrichment score pathways which corresponded to (A) upregulated and (B) downregulated differentially expressed mRNAs are listed respectively. Enrichment score indicates the enrichment score value of the GO ID, equivalent to -log10 (P-value).

Quantitative real-time PCR confirms microarray expression results

Using qRT-PCR, 3 upregulated and 3 downregulated lncRNAs with fold-changes >2.0 were randomly selected to verify the microarray data in 7 pairs of samples (4 pairs of original tissues and 3 other pairs of cholesteatoma and normal skin tissues). The qRT-PCR results and microarray data were consistent (Fig. 5), demonstrating that the microarray expression results are highly reliable.

Figure 5. Validation of the microarray data by quantitative RT-PCR. The relative expression levels of 6 deregulated lncRNAs are displayed compared to normal skin and cholesteatoma specimens. (A) ENST00000415386; (B) ENST00000420253; (C) NR_024468; (D) T044224; (E) T347175; and (F) uc001kfc.1. Among them, A, B, and C were upregulated lncRNAs and D, E, and F were downregulated lncRNAs in cholesteatoma. Data are presented as the mean ± SD; *P<0.05, **P<0.01, unpaired t-test.

CeRNA network analysis indicates that lncRNAs have ceRNA potential in the pathogenesis of cholesteatoma

CeRNAs are involved in a regulatory mechanism between non-coding RNA and coding RNA based on shared MREs (12). According to the ceRNA hypothesis, ceRNA members can compete for the same MREs to regulate each other. To explore whether lncRNAs have ceRNA potential in the pathogenesis of cholesteatoma, in the present study, we constructed a ceRNA network in cholesteatoma based on the microarray data. We selected 5 significantly differentially expressed lncRNAs (fold change >2.0, P<0.05, Table I), which shared common binding MREs with each other, to constitute an lncRNA/miRNA/mRNA ceRNA network (available upon request). The network was found to be composed of 20 lncRNA nodes, 399 miRNA nodes, and 137 mRNA nodes. In the network, we observed that lncRNA-uc001kfc.1 interacted with miR-21-3p (Figs. 6 and 7A), a microRNA belonging to the miR-21 family, which promotes the formation and invasion of cholesteatoma (7,8). (To make the lncRNA-uc001kfc.1-mediated ceRNA network easier to identify, we separated it from the original ceRNA network). The 2D structure of the miR-21-3p on uc001kfc.1 indicated that the binding site is 8 mer, perfectly matching positions 2 to 8 of the mature miR-21-3p (Fig. 7A).

Figure 6. LncRNA-uc001kfc.1 mediates the competing endogenous RNA network. The network was based on lncRNA/miRNA/mRNA interactions. In the network, hsa-miR-21-3p, which shares a microRNA response element (MRE) with uc001kfc.1, was ascertained to play a vital role in cholesteatoma and is highlighted in red font (interaction with uc001kfc.1, near the bottom of image). Blue circles, miRNAs; orange circles, lncRNAs; green circles, mRNAs.

Figure 7. 2D structure of miRNA vs. lncRNA and enriched functional terms in the lncRNA/miRNA/mRNA ceRNA network. (A) The 2D structure of the miR-21-3p vs. uc001kfc.1 (AK130076). The 2D structure revealed the specific location of the binding sites on the full-length sequence of lncRNA. The type of binding site is 8mer, indicating perfectly matched positions 2 to 8 of the mature miRNA (the seed + position 8) followed by an ‘A’; ‘|’ indicates an exact match; ‘:’ indicates G:U pairing. Local AU indicates accessibility of binding sites; the red bar indicates that the location is A:U; the darker red bar indicates higher weighing of A:U. Position: Relative position of binding sites on the lncRNA. Conservation: Relative conservation of the seed complementary region between species. However, there is insufficient data for constructing a phylogenetic tree of different species for lncRNAs. (B-D) The top-10 significantly enriched GO terms in the lncRNA/miRNA/mRNA ceRNA network of cholesteatoma (P<0.05). B, biological process; C, cellular component; and D, molecular function. Enrichment score indicates the enrichment score value of the GO ID, equivalent to -log10 (P-value). (E) The top-10 significantly enriched KEGG terms in lncRNA/miRNA/mRNA ceRNA network of cholesteatoma (P<0.05). ‘P-value’ indicates the enrichment P-value of the Pathway ID using Fisher's exact test. ‘Selection counts’ indicates the Count of the differentially expressed gene entities directly associated with the listed Pathway ID. ‘Enrichment score’ indicates the enrichment score value of the Pathway ID, equivalent to ‘-log10 (P-value)’.

Table I. Significant differentially expressed lncRNAs for ceRNA network construction (fold change >2.0, P<0.05).

Table I.

Significant differentially expressed lncRNAs for ceRNA network construction (fold change >2.0, P<0.05).

lncRNAs	GeneSymbol	P-value	Fold change	Regulation
T162623	G037602	0.0002817	5.1090401	Down
T347175	G081784	0.0013410	2.4223804	Down
uc001kfc.1	AK130076	0.0077363	13.0961017	Down
T044224	G010228	0.0101259	2.5568534	Down
ENST00000420253	AC093495.4	0.0006598	5.4432596	Up

Furthermore, to better explore the ceRNA potential of lncRNAs in cholesteatoma, we performed GO and KEGG pathway analysis for the lncRNA/miRNA/mRNA network. In GO analysis, gene product enrichment in BP, MF, and CC were analyzed (P<0.05) and the top-10 enriched GO terms of the three aspects are listed in Fig. 7B-D. GO analysis revealed that protein kinase activator activity (GO:0030295) as well as protein kinase A binding (GO:0051018) and protein kinase A regulatory subunit binding (GO:0034237) were the most significant molecular functions displayed in the ceRNA network. Protein kinase can regulate protein phosphorylation, which is involved in many aspects of cell biology and contributes to cholesteatoma formation (27). In KEGG pathway analysis, as depicted in Fig. 7E, the cAMP signaling pathway, the JAK/STAT signaling pathway, and the mTOR signaling pathway were related to cell migration, cell cycle, and survival (http://www.genome.jp/kegg/). Moreover, JAK/STAT signaling was also involved in the molecular mechanisms underlying cholesteatoma (28).

Discussion

The present study provides a comprehensive analysis of lncRNA and mRNA expression profiles in cholesteatoma and matched normal skin tissues by microarray analysis. Microarray data indicated that both lncRNA and mRNA profiles were distinctly different between cholesteatoma and normal skin specimens. In cholesteatoma tissues, a total of 181 upregulated lncRNAs and 606 downregulated lncRNAs were differentially expressed compared with normal skin tissues, which indicated that lncRNAs may play important roles in cholesteatoma. Among them, intergenic lncRNAs account for the largest category (69.47%). This is meaningful, since intergenic lncRNAs are a type of lncRNA that are transcribed and act as cis-regulators when close to protein-coding genes during gene translation, which makes them the best candidates for in-depth study of transcriptional regulation of neighboring genes (14). To verify the reliability of our microarray data, 3 upregulated and 3 downregulated lncRNAs were selected to conduct qRT-PCR in a total of 7 pairs of samples. The results of qRT-PCR were consistent with the microarray assays, which demonstrated that the microarray data were highly reliable.

Since lncRNAs can regulate the expression of neighboring and overlapping coding genes, GO enrichment analysis of differentially expressed mRNAs can display the functional roles of lncRNAs. Based on differentially expressed mRNAs data from cholesteatoma specimens, we identified the framework of the gene functions and analyzed the gene product activities in terms of BP, MF, and CC by GO enrichment analysis. In BP analysis of upregulated genes, we observed that regulation of phosphatidylinositol 3-kinase signaling (GO:0014066), phosphatidylinositol 3-kinase signaling (GO:0014065), and positive regulation of phosphatidylinositol 3-kinase signaling (GO:0014068) were three of the most significant processes. Furthermore, in MF analysis of upregulated genes, phosphatidylinositol 3-kinase binding (GO:0043548) was the most significant gene activity process. All the gene activity processes aforementioned are all related to upregulation of phosphatidylinositol 3-kinase (PI3K) signaling in cholesteatoma tissues. PI3Ks are enzymes that catalyze the phosphorylation of phosphatidylinositol (PtdIns). PI3K signaling has been reported to function in metabolic control, immunity, angiogenesis, and cardiovascular homeostasis (29). Furthermore, the PI3K pathway is also a critical regulator of cell survival and proliferation (30). During the past years, PI3K signaling activity has been reported to promote the genesis of cholesteatoma. A previous study reported that epithelial keratinocytes in cholesteatoma are protected against programmed cell death by activation of the PI3K/Akt signaling pathway (31). Akt, also known as serine kinase PKB, is a downstream effector of PI3K (29). In addition, Yune and Byun discovered that cellular survival mechanisms are related to cholesteatoma epithelial hyper-proliferation via reduced PTEN and increased PI3K/Akt signaling pathway activation (32). KEGG pathway analysis for differentially expressed mRNAs revealed that 7 upregulated pathways and 10 downregulated pathways could participate in the mechanisms underlying cholesteatoma. Bacterial invasion of epithelial cells is one of the upregulated pathways. Our results support a previous study in which it was revealed that bacterial infection may promote the enlargement of cholesteatoma and destruction of local structures (33). Therefore, functional analysis implied that lncRNAs may play important roles in cholesteatoma pathogenesis by regulating the neighboring and overlapping coding genes.

During the past decade, though many studies have reported that lncRNAs are involved in the epigenetic mechanisms of many diseases, the exact regulatory pathways of most lncRNAs with other transcripts are still largely unknown. In the present study, we constructed an lncRNA/miRNA/mRNA network to discover the relationship between lncRNAs, miRNAs, and mRNAs. The ceRNA hypothesis proposes that, by shared MREs, lncRNAs can sequester the miRNA activity, thereby upregulating the targeted mRNAs (12). In the present study, in the lncRNA/miRNA/mRNA network, we observed that lncRNA-uc001kfc.1 shared common MREs with hsa-miR-21-3p. Compared with normal skin tissues, lncRNA-uc001kfc.1 was confirmed to have low expression in cholesteatoma by both microarray analysis and qRT-PCR. Previous studies reported that hsa-miR-21 was overexpressed in cholesteatoma; and when hsa-miR-21 is upregulated, the number of proliferative as well as migrated cholesteatoma keratinocytes increases significantly (7,8,34). In the present study, lncRNA-uc001kfc.1 was significantly downregulated. Therefore, we presume that lncRNA-uc001kfc.1 may play a key role in cholesteatoma pathogenesis and function as an ‘endogenous sponge’ for miR-21-3p; and when lncRNA-uc001kfc.1 is downregulated in cholesteatoma, hsa-miR-21-3p becomes transcriptionally active, regulating relative genes, and thus resulting in the hyper-proliferation and migration of keratinocytes. This hypothesis gives us hope that lncRNA-uc001kfc.1 mimics may be a potential drug treatment for cholesteatoma. In addition, more functional experiments are required to validate the hypothesis.

To further explore the ceRNA potential of lncRNAs in cholesteatoma, GO and KEGG pathway analyses were performed to analyze the functions of lncRNA-related genes in the lncRNA/miRNA/mRNA network. In MF fold enrichment of GO analysis, protein kinase activator activity (GO:0030295) was one of the most significantly enriched processes, which represents ‘Binds to and increases the activity of a protein kinase, an enzyme that phosphorylates a protein’ (http://www.geneontology.org). Protein phosphorylation is important in the control of cell metabolism (35). Increased phosphorylated Akt (p-Akt) expression can induce cell hyper-proliferation in cholesteatoma by activating the PI3K/Akt pathway (32). In another study, phosphorylation of HSP27, which is triggered by the Ras/Raf/ERK1/2 and MAPK pathways, was involved in the activation of epithelial cell migration, angiogenesis, and proliferation, subsequently resulting in the growth of cholesteatoma (36). Additionally, in the JAK/STAT signaling pathway, the phosphorylation of STAT3 can promote cholesteatoma epithelial hyper-proliferation by cell cycle acceleration, cellular differentiation promotion, and inhibition of apoptosis (28). Among the most significant KEGG pathways of the network, the JAK/STAT signaling pathway, just as depicted above, has been previously reported to be involved in the pathogenesis of cholesteatoma (28) and our study further supported these findings. Moreover, the cAMP signaling pathway, the JAK/STAT signaling pathway, and the mTOR signaling pathway, which are associated with the PI3K/Akt signaling pathway, may contribute to cholesteatoma formation through their involvement in cell cycle, migration, and survival (http://www.genome.jp/kegg/). All functional analysis of the lncRNA/miRNA/mRNA network further elucidated that lncRNAs had ceRNA potential and may play key roles in cholesteatoma pathogenesis.

In summary, this is the first study to examine lncRNA expression profiles in cholesteatoma using a microarray analysis and we discovered that lncRNA expression patterns were significantly altered in cholesteatoma. In addition, by constructing an lncRNA/miRNA/mRNA ceRNA network, we found that lncRNAs may function as ceRNAs during cholesteatoma formation. Our findings shed novel light on the pathogenesis of cholesteatoma and provide potential therapeutic targets for the treatment of cholesteatoma. In subsequent research, we will focus on the functional studies of lncRNAs, such as gain-of-function or loss-of-function of lncRNA-uc001kfc.1, to further explore the precise molecular mechanisms of cholesteatoma.

Acknowledgments

Not applicable.

References