METHODS
SRF was identified as a potential target gene of miR7111-5p and miR6870-5p using the TargetScan, Mirwalk,
and Mirdb miRNA-target prediction tools. SRF, miR7111-5p, and miR6870-5p expression levels
were examined by RT-qPCR in OSCC compared with normal tissues.
RESULTS
Our results showed that miR7111-5p and miR6870-5p were significantly downregulated in 30 pairs of
OSCC tissue samples (p<0.05) relative to adjacent normal oral tissues. In the present study, we found that
the high expression level of SRF was negatively correlated with the down regulation of miR7111-5p and
miR6870-5p and was statistically correlated with the tumor stage.
CONCLUSION
miR7111-5p, miR6870-5p, and SRF may be potential prognostic biomarkers for OSCC diagnosis and
monitoring.
Keywords: miR6870-5p; miR7111-5p; oral squamous cell carcinoma; serum response factor gene
Considering the asymptomatic nature of oral cancer
at its early stage, early detection of OSCC plays a critical
role in prognosis and reduces treatment-related morbidity
and mortality.[
MicroRNAs (miRNAs) have a molecular regulatory
role and have emerged as diagnostic biomarkers
of various human cancers, including OSCC. Several
studies have recently investigated the association between
the expression levels of some of these miRNAs
and the initiation, progression, survival rate, and
metastatic potential of cancer.[
Several miRs are characterized to act as tumor suppressors
and/or oncogenes in OSCC. They regulate
gene expression through interaction with components
in the signaling pathways influencing cell proliferation,
differentiation, migration, apoptosis, and other important
involved mechanisms at cancer development.
Identification of miRNA expression patterns in
OSCC compared to normal tissues can lead to earlystage
diagnosis and prognosis.[
Serum response factor (SRF) is a MAD-box containing
transcription factor which has an important
role in the regulation of many involved-specific genes
in cell growth, proliferation, differentiation, and apoptosis.[
This study was designed to investigate the expression
of miR7111-5p, miR6870-5p, and SRF as their target
gene as well as to identify their possible expression
association in OSCC and normal tissue.
Predicting microRNA Target Genes
The TargetScan (http://www.targetscan.org), Mirwalk
(http://mirwalk.uni-hd.de), and miRDB (http://mirdb.
org) databases were used to predict potential miRNA
target genes. The selected gene for both miRNAs was
subjected to analysis.
RNA Extraction and Quantitative RT-PCR (qRTPCR)
Statistical Analysis
The total RNA was extracted from frozen tissue samples
using RiboEx? reagent (GeneAll Biotechnology,
Korea), according to the manufacturer"s instructions.
In addition, the extracted RNA was treated
with RNAse-free DNAase to eliminate any genomic
DNA contamination. The quality and quantity of extracted
RNAs were evaluated using 1.5% agarose gel
electrophoresis and Nanodrop (Thermo scientific-
Nanodrop 2000) spectrophotometer analyses, respectively.
miRNA was reverse transcribed with 1 µg total
RNA using BioFACT cDNA Synthesis kit (Daejeon,
South Korea), according to the manufacturer"s protocol.
PCR was performed on an Exicycler? 96 thermocycler
(Bioneer, Korea) using a SYBR-Green kit
(Ampliqon). Quantitative real-time PCR on miRNAs
and SRF was conducted with the following thermal
cycling profile at 95°C for 2 min, followed by 40
cycles comprising 95°C for 15 s, 60°C for 30 s, and
72°C for 20 s. U6 served as an endogenous control
for miR7111-5p and miR6870-5p and GAPDH used
as a reference control for SRF target gene. The primer
sequences are summarized in Table
All experiments were repeated three times, and numerical
data are expressed as the means±standard
deviation. Statistical analysis was performed using
GraphPad Prism software 5.0 (GraphPad Software,
Inc., San Diego, CA, USA) and SPSS (GraphPad
Prism 5 software (version 18.0; SPSS, Inc., Chicago, IL, USA). Expression data were controlled for normal
distribution by one-sample Kolmogorov-Smirnov
(K-S test). A one-way ANOVA was used to determine
statistically differences in SRF gene expression levels
in different tumor sizes. The associations between
miR7111-5p, miR6870-5p, and SRF levels and clinic-
pathological parameters of OSCC patients were
assessed using independent sample test and independent
sample Kruskal-Wallis test. The correlation
between miR7111-5p, miR6870-5p, and SRF expression
was performed by Pearson correlation analysis.
p<0.05 (≤0.05) was considered to indicate a statistically
significant.
SRF Expression Analysis by RT-qPCR
The Association between SRF Expression and Clinicopathological
Characteristics
The Correlation between the Expression of miR7111-
5p, miR6870-5p and SRF
In the present study, the potential targets of miR7111-
5p and miR6870-5p were identified with promising
miRNA-target prediction tools (The TargetScan,
Mirwalk, and Mirdb). According to conserved seed
matching sequence principles, the predicted miRs
and potential target gene were selected by identifying the intersection of databases.[
SRF: Serum response factor.
To examine the potential diagnostic value of SRF
expression rate in OSCC, we analyzed the SRF expression
levels at OSCC patients with different clinical
feature categories (Table
To study miR7111-5p, miR6870-5p levels positively
and negatively correlated to SRF expression in OSCC,
a correlation analysis by Pearson method performed in
30 pairs OSCC tissues and adjacent normal tissues. We
did not find a significant correlation between downregulation
of miR7111-5p, miR6870-5p, and increased
expression of SRF gene in OSCC tissues and adjacent
normal tissues (Fig.
SRF: Serum response factor.
Many miRNAs, including miR-10b,[
To date, no study has attempted to evaluate the expression
of MiR7111-5p and miR6870-5p in OSCC,
except the research by Chamorro-Petronacci et al.,[
Our results showed that miR7111-5p, miR6870-5p
downregulated in OSCC patients which were not in a
manner consistent with the upregulated level obtained
from the previous report. miRNAs perform their regulatory
roles through the translation repression or the
degradation of their target mRNAs. Therefore, recognition
of regulation relations of miRNAs on target genes
for a specific type of cancer can be a crucial step in
early detection and to improve patient survival rates.
Regardless of the regulatory function of SRF at the
expression of various miRNAs involved in the MAPKinase
Signaling Pathway, it has been demonstrated
to be a direct target for regulation by many miRNAs
in several types of cancer.[
Although research of the deregulated functions of
miR7111-5p and miR6870-5p in different cancers is in
progress, their regulatory function by targeting SRF in
OSCC still remains largely unclear. To the best of our
knowledge, this is the first evaluation of the correlation
between deregulated expression levels of miR7111-5p,
miR6870-5p, and SRF in OSCC. We also investigated the correlation between clinico-pathological stages of
OSCC and SRF expression.
Our results revealed that the miR7111-5p and
miR6870-5p expression levels were significantly decreased
in OSCC compared with adjacent normal
tissues. Moreover, SRF expression was significantly
upregulated in OSCC and was not correlated with
downregulated expression levels of miR7111-5p and
miR6870-5p.
Family history has been reported as an important
risk factor for oral cavity cancer and many of cancers.
Therefore, understanding the relationship between
family history and oral cavity cancer provides great potential
in screening and preventive strategies resulting
reduce the risk of cancer.[
According to the results of the present study, the
expression of SRF gene has increased in higher stages
(IV) which may be a potential marker for early detection
of OSCC in the future. OSCC is among the most
common causes of cancer death in the world, accounting
for more than 90% of all oral cancers and has a
5-year survival rate of <50%.
Ghafari et al.[
Our study suggested that downregulation of miR-
7111-5p and miR-6870-5p alone and or with other altered
expression miRNAs profiles may serve as a prognostic
marker to predict and early detection of OSCC.
Given that, the relatively small sample size was a major
limitation in this study, therefore whether miRs down
expression impacted the expression of SRF and or SRF
acts as oncogene contributes to OSCC requires further
investigation.
Peer-review: Externally peer-reviewed.
Conflict of Interest: All authors declared no conflict of interest.
Ethics Committee Approval: The study was approved by the Research Medical Ethics Committee of Imam Khomeini Hospital (No: IR.IAU.SRB.REC.1399.099, Date: 19/11/2020).
Financial Support: None declared.
Authorship contributions: Concept - F.J.; Design - F.J.; Supervision - F.J.; Funding - M.S.; Materials - M.S.; Data collection and/or processing - M.S.; Data analysis and/or interpretation - M.S.; Literature search - A.G.; Writing - A.G.; Critical review - A.G.