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. 2017 Aug 24;16(5):5863–5870. doi: 10.3892/mmr.2017.7360

Analysis of gene expression profiling variations induced by hsa-miR-145-5p-overexpression in laryngeal squamous cell carcinoma cell line Tu-177

Yongxia Ding 1,2, Yongyan Wu 2,3, Wei Gao 2,3, Chunming Zhang 2,3, Qinli Zhao 2,3, Huina Guo 2,3, Xukuan Qu 2,3, Shuxin Wen 2,3, Binquan Wang 1,2,3,✉
PMCID: PMC5865762  PMID: 28849105

Abstract

The present study aimed to investigate the variations of the gene network and biological functions induced by hsa-miR-145-5p in the laryngeal squamous cell carcinoma (LSCC) cell line Tu-177. A hsa-miR-145-5p-overexpressed Tu-177 cell model was established, and the gene expression microarray data of miR-145-5p-overexpressed cells and negative control (NC) cells were analyzed. The differentially expressed genes (DEGs) between two groups were identified, and their potential functions were predicted by functional enrichment analysis. Furthermore, the targets of miR-145-5p were identified from the DEGs, and their potential functions and protein-protein interactions (PPIs) were analyzed. The mRNA expressions of acetyl-CoA carboxylase β (ACACB), fibroblast growth factor receptor 1 (FGFR1), protein phosphatase 3 catalytic subunit a (PPP3CA) and spleen associated tyrosine kinase (SYK), were analyzed via quantitative polymerase chain reaction. A total of 1,501 upregulated and 887 downregulated genes were identified in the hsa-miR-145-5p-overexpressed Tu-177 cells, compared with the NC cells. Of these DEGs, 164 upregulated and 221 downregulated genes were predicted to be targeted by hsa-miR-145-5p. The upregulated target genes were primarily associated with functions of immunity, whereas the downregulated target genes were significantly enriched in the p53 signaling pathway. In the PPI network consisting of 267 target genes, the upregulated ACACB had the greatest degree and interacted with downregulated genes including PPP3CA and SYK, in addition to upregulated genes, including FGFR1. The mRNA expressions of ACACB and FGFR1were markedly enhanced in miR-145-5p-overexpressed Tu-177 cells, whereas overexpressing miR-145-5p significantly reduced mRNA expression of PPP3CA and SYK. hsa-miR-145-5p may exhibit an anticancer role in LSCC via regulating multiple cell processes, including cell proliferation and invasion, fatty acid metabolism, immunity and p53 signaling pathway. These findings provide novel information for the future investigation of miR-145-5p functions in LSCC.

Keywords: laryngeal squamous cell carcinoma, differentially expressed gene, microarray, pathway, network

Introduction

Laryngeal squamous cell carcinoma (LSCC) is one of the most common malignancies in head and neck (1). LSCC has been reported to occur more frequently in middle-aged and elderly men (1). In 2016, 13,430 new cases and 3,620 deaths are estimated of larynx cancer in United States (2). Currently, although marked developments have been achieved in terms of therapeutic strategies for LSCC, there are no such enhancements inthe therapeutic outcome and prognosis of patients with LSCC (2). Therefore, it is extremely urgent to uncover the molecular mechanisms of LSCC, which can contribute to improve the clinical therapy of LSCC.

Hsa-miR-145 is one of the most important tumor suppressor miRNAs, which is lowly expressed in various cancers, such as colorectal cancer (3), gallbladder cancer (4), pleural mesothelioma (5) andprostate cancer (6). In the researches on LSCC, miR-145 has also been shown to be downregulated, and overexpression of miR-145 inhibit the proliferation and metastasis in Hep-2 cells viainducing cell cycle arrest and apoptosis (7). A recent study has shown that miR-145 is able to inhibit stem cell potency of Hep-2 cells, along with the downregulation of stem cell marks like SOX2, KLF4, OCT4 and ABCG2 (8). Furthermore, we found that miR-145-5p was able to inhibit cell proliferation and metastasis in human LSCC cell line Tu-177, and downregulation of miR-145-5p led to poor prognosis of patients with LSCC (9). However, currently, the regulatory effect of miR-145-5p on the gene expression profiling in LSCC remains unclear.

In the present study, to reveal the variation of gene expression profiling induced by miR-145-5p overexpression in LSCC, miR-145-5p mimic was transfected into Tu-177 cells to generate miR-145-5p-overexpressed LSCC cells. Then, based on gene microarrays, differentially expressed genes (DEGs) between miR-145-5p-overexpressed Tu-177 cells and negative control (NC) cells were identified. The target genes of miR-145-5p among the DEGs were identified and their potential functions and protein-protein interactions (PPIs) were analyzed. These results were expected to be helpful for the better understanding of the effects of miR-145-5p on gene expressions in LSCC.

Materials and methods

Cell culture and establishment of hsa-miR-145-5p-overexpressed cell model

Human LSCC cell line Tu-177 was purchased from Shanghai Bioleaf Biotech Company (Shanghai, China). Cells were maintained in Roswell Park Memorial Institute-1640 (HyClone, Logan, UT, USA) containing 10% fetal bovine serum (Biological Industries, Cromwell, CT, USA) at 37°C in a humidified chamber supplemented with 5% CO2. For miRNA mimic transfection, cells were plated in 6-well dishes (2.0×105 cells per well). MiR-145-5p mimic and NC (GenePharma Co., Ltd, Shanghai, China) were transfected at a final concentration of 50 nM by using Lipofectamine® 2000 (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. After 48 h of transfection, cells were harvested for the following procedures.

RNA extraction and array procedures

Total RNA was extracted from transfected cells using TRIzol reagent (Invitrogen) following the manufacturer's protocol. Double-strand cDNA (ds-cDNA) was synthesized from 5 µg of total RNA using anSuperScript ds-cDNA synthesis kit (Invitrogen) in the presence of 100 pmol oligo dT primers. Subsequently, ds-cDNA was cleaned and labeled in accordance with the NimbleGen Gene Expression Analysis protocol (NimbleGen Systems, Inc., Madison, WI, USA). Briefly, ds-cDNA was incubated with 4 µg RNase A at 37°C for 10 min and cleaned using phenol:chloroform:isoamyl alcohol, followed by ice-cold absolute ethanol precipitation. After purification, the generated cDNA was quantified using NanoDrop ND-1000 spectrophotometer (NanoDrop, Wilmington, DE, USA). Subsequently, the cDNA was labeled by a monochrome DNA labeling kit (NimbleGen Systems, Inc., Madison, WI, USA) following the manufacturer's protocol, and the labeled cDNA was hybridized withNimbleGen Human 12×135 k expression microarrays at 42°C for 16–20 h. Finally, slides were washed using NimbleGen Wash Buffer kit (NimbleGen Systems, Inc.), and scanned by Axon GenePix 4000B microarray scanner (Axon Instruments Inc., Foster City, CA, USA). The microarray data were submitted to Gene Expression Omnibus (GEO) with an accession number GSE92678.

Real-time quantitative PCR (qPCR)

First-strand cDNA was synthesized using All-in-One miRNA First-Strand cDNA Synthesis kit (GeneCopoeia, Inc., Rockville, MD, USA). The real-time quantitative PCR (RT-qPCR) was performed using ChamQ SYBR qPCR Master Mix (Vazyme, Piscataway, NJ, USA) on a ABI 7500 FAST real time PCR system (Applied Biosystems, Foster City, CA, USA). The procedures for the qPCR were as follows: 95°C for 30 sec, followed by 40 cycles of 95°C for 10 sec and 60°C for 30 sec. The specificity of the primer amplicons was examined by the analysis of a melting curve. For miRNA-145-5p, the comparative Ct method was employed for quantification of target mRNA expression that was normalized to β-actin expression and relative to the calibrator. For ACACB, FGFR1, PPP3CA and SYK, the comparative Ct method was used for quantifying target mRNA expression normalized to that of 18S rRNA. The forward primers used in qPCR are as follows: miR-145-5p-5′-GTCCAGTTTTCCCAGGAATCC-3′; RNU6-5′-TCGCTTCGGCAGCACATAT-3′, universal reverse primers were provided in the cDNA synthesis kit; ACACB-F: CTG GAG AAG GGC GTC ATA TC, ACACB-R: CTG GAT ATG CAC GTG ACT CAG; FGFR1-F: TTA ATA CCA CCG ACA AAG AG, FGFR1-R: GTA GAC GAT GAC CGA CCC; PPP3CA-F: TGG TCC CTT CCA TTT GTT, PPP3CA-R: AAG CCT TTC AGC GTC AGC; SYK-F: GTT AGA GAA AGG AGA GCG GAT G; SYK-R: TTC CTG TGA TTG CTC CTG TG; 18S-F: GTA ACC CGT TGA ACC CCA TT; 18S-R: CCA TCC AAT CGG TAG TAG CG.

Identification of DEGs

Expression data were normalized by quantile normalization and the Robust Multichip Average (RMA) algorithm. The probe level was generated after normalization. The unpaired Student's t-test was used to identify genes that were differentially expressed between the miR-145-5p-overexpression group and the NC group. The fold-change (FC) value of gene expression between two groups was calculated, and genes with FC value ≥1.5 and P-value <0.05 were selected as DEGs.

Enrichment analysis of DEGs

The online tool DAVID (10) (version: 6.8, Database for Annotation, Visualization and Integrated Discovery) was used to perform the Gene Ontology (GO) functional and pathway enrichment analyses of DEGs based on GO database (11) and Kyoto Encyclopedia of Genes and Genomes (KEGG) PATHWAY database (12). The P-value of each term calculated by Fisher's exact test (13) was adjusted by the Benjamini-Hochberg method (14). Only function terms with adjusted P-value <0.05 were considered significant.

Prediction of hsa-miR-145-5p target genes

Target genes of hsa-miR-145-5p were predicted from the DEGs identified above based on the miRNA-targeted interaction information in the miRWalk2.0 (15), miRDB (16), RNA22 (17), miRanda (18), RNAhybrid (19) and TargetScan (20) databases.

Functional analysis of hsa-miR-145-5p targets

The GO functions in the category of biological process (BP) and KEGG pathway enrichment analyses of the DEGs targeting by hsa-miR-145-5p were conducted using DAVID, and only function terms with adjusted P-value <0.05 were considered significant. Subsequently, the network consisting of GO and KEGG terms was visualized using the plugin ClueGO in Cytoscape (version 2.2.6) (21). Additionally, the network of significant pathways was visualized using the plugin CyKEGGParser (version 1.2.7) (22).

Construction of PPI network

The PPIs of the DEGs targeting by hsa-miR-145-5p were extracted from STRING database (version 10.0) (23) with default parameters. The PPIs meeting the combined score >0.4 were used to construct PPI network, which was then visualized by Cytoscape (version 3.4.0) (24). In PPI network, each node represents a protein and each edge between two nodes represents an interaction between these two proteins.

Furthermore, network topological features of nodes in the PPI network, including degree, betweenness and closeness, were analyzed by the plugin CytoNCA (version 2.1.6) (25). The hub nodes were revealed according to the scores of degree, betweenness and closeness.

Results

DEGs in hsa-miR-145-5p-overexpressed Tu-177 cells

To validate the miR-145-5p expression change between the miR-145-5p mimic and the NC transfected Tu-177 cells, the miR-145-5p expression level was determined by qPCR. The results showed that miR-145-5p was significantly upregulated in miR-145-5p mimic transfected cells than that in NC cells (Fig. 1A).

Figure 1.

Figure 1.

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Microarray analysis of miR-145-5p-overexpressed human LSCC Tu-177 cells. (A) Expression level of miR-145-5p was determined by real-time quantitative polymerase chain reaction (RT-qPCR). Tu-177 cells were transfected with miR-145-5p mimic or negative control for 48 h, respectively. Then total RNA was extracted and qPCR was performed. (B and C) Clustering analysis of differentially expressed genes. The heat maps showing the expression patterns of all differentially expressed genes (B) and differentially expressed target genes of miR-145-5p (C) in the miR-145-5p-overexpressed Tu-177 cells and the negative control cells. Each column indicates a cell sample, and each row indicates a gene. Genes in red show upregulated expression, and genes in green show downregulated expression. Bars of RT-qPCR experiments represent the mean ± standard deviation of three independent replicates.

Based on the analysis of mRNA microarray data, a total of 1501 upregulated and 887 downregulated genes were identified in the hsa-miR-145-5p-overexpressed Tu-177 cells, compared with the NC cells. The heat map of these DEGs showed that the identified DEGs were able to distinguish the two group samples (Fig. 1B).

Potential functions of the DEGs

The upregulated DEGs were significantly enriched in 185 GO terms and 7 KEGG pathways, such as immune response, cell adhesion, and the pathway of neuroactive ligand−receptor interaction (Fig. 2A). Meanwhile, the downregulated DEGs were significantly enriched in 97 GO terms and 4 pathways, such as cell cycle, cellular protein catabolic process, and Wnt signaling pathway (Fig. 2B).

Figure 2.

Figure 2.

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GO and KEGG pathway enrichment analysesof upregulated genes (A) and downregulated genes (B). GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MAPK, mitogen-activated protein kinase.

The predicted target genes of hsa-miR-145-5p

Among the identified DEGs, 164 upregulated and 221 downregulated genes were predicted to be targeted by hsa-miR-145-5p. These target genes were able to distinguish the hsa-miR-145-5p-overexpressedcells from the NC cells (Fig. 1C).

Furthermore, the potential functions of the DEGs targeting by hsa-miR-145-5p were analyzed to reveal the potential biological functions of hsa-miR-145-5p in LSCC. The upregulated target genes were significantly enriched in functions of immunity, such as the GO terms of negative regulation of lymphocyte proliferation, which interacted with the GO terms of regulation of interleukin-10 production. Furthermore, the pathway of cell adhesion molecules (CAMs) enriched by the upregulated target genes interacted with the pathway of leukocyte transendothelial migration, which was predicted to have a correlation with bicellular tight junction (Fig. 3A). Meanwhile, the downregulated target genes were significantly enriched in the p53 signaling pathway, and the GO term of cell-cell junction assembly which interacted with the GO term of cellular component disassembly involved in execution phase of apoptosis (Fig. 3B).

Figure 3.

Figure 3.

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Interaction networks of GO and KEGG pathway terms enriched by upregulated genes (A) and downregulated genes (B). Round nodes represent GO terms, and diamonds represent KEGG pathway terms. GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes.

The PPI analysis of hsa-miR-145-5p target genes

To further investigate the potential PPIs of the DEGs targeted by hsa-miR-145-5p, a PPI network was constructed. This network consisted of 267 nodes and 416 PPI pairs. The upregulated ACACB had the highest degree and interacted with genes like the downregulated PPP3CA and SYK, as well as the upregulated FGFR1. PPP3CA interacted with 15 genes, such as MEF2A and FGFR1 (Fig. 4).

Figure 4.

Figure 4.

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Protein-protein interaction network consisting of differentially expressed target genes of miR-145-5p. Round nodes represent upregulated genes, and quadrilateral nodes represent downregulated genes.

The expression of ACACB, FGFR1, PPP3CA, and SYK in hsa-miR-145-5p-overexpressed Tu-177 cells

RT-PCR results revealed that the mRNA expressions of ACACB and FGFR1 were obviously enhanced in miR-145-5p-overexpressed Tu-177 cells, while overexpressing miR-145-5p significantly reduced mRNA expression of PPP3CA and SYK (Fig. 5).

Figure 5.

Figure 5.

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Expression levels of ACACB, FGFR1, PPP3CA and SYK by RT-qPCR. Tu-177 cells were transfected with miR-145-5p mimic or negative control for 48 h, respectively. *P<0.05 vs. NC. RT-qPCR: real-time quantitative polymerase chain reaction.

Discussion

In the present study, a total of 1,501 upregulated and 887 downregulated genes were identified in the hsa-miR-145-5p-overexpressed laryngeal squamous carcinoma Tu-177 cells, compared with the NC cells. Among these DEGs, 164 upregulated and 221 downregulated genes were predicted to be targeted by hsa-miR-145-5p. The upregulated target genes were mainly related to functions of immunity, whereas the downregulated target genes were significantly enriched in the p53 signaling pathway. In the PPI network, 267 target genes were included, and the upregulated ACACB had the highest degree. Besides, the mRNA expressions of ACACB and FGFR1 were obviously enhanced in miR-145-5p-overexpressed Tu-177 cells, while overexpressing miR-145-5p significantly reduced mRNA expression of PPP3CA and SYK.

ACACB encodes acetyl-CoA carboxylase (ACC) beta. ACC is a biotin-containing enzyme which catalyzes the carboxylation of acetyl-CoA to malonyl-CoA in fatty acid synthesis, and regulates fatty acid oxidation (26). In human colorectal cancer cells, fatty acid synthase suppression mediates the anticancer substance oridonin-induced apoptosis (27). Mak et al also found that ACC involved in lipid metabolism may be a potential anticancer target protein (28). Although there is no any evidence to prove the association of ACACB with LSCC or miR-145-5p, the results above indicate that miR-145-5p overexpression may induce ACACB expression in LSCC cells, which results in abnormity of fatty acid metabolism in LSCC.

In the PPI network, a set of DEGs were predicted to interact with ACACB, such as the downregulated PPP3CA and SYK, as well as the upregulated FGFR1. PPP3CA encodes protein phosphatase 3 catalytic subunit alpha, also named calcineurin A alpha (29). Ostenfeld et al have reported that miR-145 induces cell death in human urothelial cancer cells by targeting PPP3CA, clathrin interactor 1 and core-binding factor β subunit (30). Furthermore, PPP3CA has been also reported to be involved in the invasiveness of other cancers, such as breast cancer (31), pancreatic cancer (32), and small cell lung cancer (33). In the present study, PPP3CA was predicted to be correlated with the functions of cell cycle, which is commonly deregulated in cancers, including in LSCC. Collectively, miR-145-5p overexpression might induce the downregulation of PPP3CA, which likely affected the cell cycle and invasiveness of LSCC cells. SYK encodes spleen associated tyrosine kinase, which can couple activated immunoreceptors to downstream signaling pathways that regulate multiple cell progresses, such as cell proliferation, differentiation and phagocytosis (34). Currently, SYK has not been confirmed to be associated with LSCC or miR-145-5p. We speculated that miR-145-5p overexpression resulted in downregulation of SYK, thus suppressing the cell proliferation of LSCC cells. FGFR1 (fibroblast growth factor receptor 1) has been previously found to be frequently amplified in head and neck squamous cell carcinoma (HNSCC), and it has been identified as a candidate prognostic biomarker of HNSCC (35,36). Furthermore, fibroblast growth factor receptor family member proteins (FGFR1-4) were recently reported to be also frequently highly expressed in oral cavity and oropharyngeal squamous cell carcinoma (37). In the PPI network, FGFR1 interacted with PPP3CA, and the mRNA expressions of FGFR1 and PPP3CA were obviously enhanced and reduced by overexpressing of miR-145-5p, respectively. Therefore, miR-145-5p overexpression may also change the expression of FGFR1 in LSCC cells via downregulating PPP3CA.

Additionally, in this study, we also found that the upregulated target genes were mainly enriched in functions of immunity, such as regulation of lymphocyte proliferation and interleukin-10 production. The downregulated was significantly related to the p53 signaling pathway. In LSCC, lymphocytes are proliferated and lymphokines are overexpressed (38,39). Disruption of p53 function has been independently shown to occur in the majority of HNSCC (40). Recently, p53 has been discovered to mediate the amplification of the transcription of pro-apoptotic miRNAs in LSCC (41). Therefore, miR-145-5p overexpression may also changes immune responses and p53 signaling pathway to exert its anticancer efficiency in LSCC.

Despite the aforementioned results, this study still had several limitations. For example, the expression levels of the DEGs are needed to be confirmed, and the regulatory correlations between miR-145-5p and its predicted targets should also be validated by experiments. In our further study, we will confirm the predicted results in animal models and clinical samples.

In conclusion, based on microarray technology, we investigated expression changes of downstream genes of the miR-145-5p in human LSCC. A total of 1501 upregulated and 887 downregulated genes were identified in the hsa-miR-145-5p-overexpressed Tu-177 cells, compared with the NC cells. A series of genes were predicted to be targeted by hsa-miR-145-5p, and they were predicted to be related to immunity or p53 signaling pathway. Furthermore, some target genes were predicted to have interactions in the PPI network, such as ACACB that was associated with fatty acid metabolism, PPP3CA that was related to cell cycle and invasiveness, SYK that was correlated with cell proliferation. Therefore, hsa-miR-145-5p may function in LSCC via regulating multiple cell processes, such as cell proliferation and invasiveness, fatty acid metabolism, immunity and p53 signaling pathway. These findings provide novel information for the investigation of miR-145-5p functions and mechanisms in LSCC.

Acknowledgements

The present study was supported by the National Natural Science Foundation of China (grant nos. 81602394, 81572670, 81402256), Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (STIP, 2016-92), the Research Project of Shanxi Province Health and Family Planning Commission (201301073, 2014028, 201601038, 201601037), the Excellent Talent Science and Technology Innovation Project of Shanxi Province (201605D211029), and China Postdoctoral Science Foundation (2016M591412), and the Shanxi Scholarship Council of China (2016–118).

Glossary

Abbreviations

LSCC

laryngeal squamous cell carcinoma

NC

negative control

DEGs

differentially expressed genes

PPIs

protein-protein interactions

GEO

Gene Expression Omnibus

RMA

Robust Multichip Average

GO

Gene Ontology

FC

fold-change

HNSCC

head and neck squamous cell carcinoma

CAMs

cell adhesion molecules

ACC

acetyl-CoA carboxylase

FGFR1

fibroblast growth factor receptor 1

BP

biological process

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