Yuying Miao1, Jiang Lu1, Baozhen Fan1, Lecan Sun2. 1. Department of Breast Surgery Ward, Jingjiang People's Hospital, Jingjiang, China. 2. Department of Blood Hernia Minimally Invasive Surgery, XuZhou Central Hospital, Xuzhou, China.
Abstract
BACKGROUND: To assess the effect of microRNA-126-5p (miR-126-5p) on the migration of the breast cancer MCF7 cell line. METHODS: GSE143564 was downloaded from the Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo) to identify the differentially expressed miRNAs between breast cancer and adjacent tissues. Quantitative reverse transcription PCR (RT-qPCR) was used to assess miR-126-5p levels in the normal 184A1 breast cell line and the breast cancer MCF7 cell line. The MCF7 cell line was then transfected with miR-126-5p mimics or corresponding negative control (NC-mimic). The proliferation and migration abilities of the MCF7 cell line were measured by methyl thiazolyl tetrazolium (MTT), Transwell and scratch healing assays. CCR4-NOT transcription complex and subunit 7 (CNOT7) expression levels in the NC-mimic and miR-126-5p mimic groups were measured by Western blot analysis. Bioinformatic analysis and a dual-luciferase reporter assay were performed to identify the miR-126-5p target gene. RESULTS: One hundred forty-eight differentially expressed miRNAs (downregulated = 55, upregulated = 93) were identified. MiR-126-5p expression in the MCF7 cell line was significantly downregulated relative to that of 184A1 cell line (P < 0.05). Compared with that observed in the control and NC-mimic groups, cell proliferation in the miR-126-5p mimic group was significantly decreased at 48 and 72 h posttransfection (P < 0.05). In addition, the scratch healing rate and number of membrane-piercing cells in the miR-126-5p overexpression group were lower than those detected in the control and NC groups (P < 0.05). Furthermore, miR-126-5p could reduce the luciferase activity for the wild-type CNOT7 gene 3'-untranslated region (UTR) reporter (P < 0.05) but had no effect on the mutant 3'UTR reporter (P > 0.05). Compared with that observed in the NC and control groups, the levels of CNOT7 in the miR-126-5p overexpression group decreased (P < 0.05). CONCLUSION: Upregulation of miR-126-5p can inhibit the migration of the breast cancer MCF7 cell line, which may involve its direct targeting of the 3'UTR of CNOT7.
BACKGROUND: To assess the effect of microRNA-126-5p (miR-126-5p) on the migration of the breast cancerMCF7 cell line. METHODS: GSE143564 was downloaded from the Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo) to identify the differentially expressed miRNAs between breast cancer and adjacent tissues. Quantitative reverse transcription PCR (RT-qPCR) was used to assess miR-126-5p levels in the normal 184A1 breast cell line and the breast cancerMCF7 cell line. The MCF7 cell line was then transfected with miR-126-5p mimics or corresponding negative control (NC-mimic). The proliferation and migration abilities of the MCF7 cell line were measured by methyl thiazolyl tetrazolium (MTT), Transwell and scratch healing assays. CCR4-NOT transcription complex and subunit 7 (CNOT7) expression levels in the NC-mimic and miR-126-5p mimic groups were measured by Western blot analysis. Bioinformatic analysis and a dual-luciferase reporter assay were performed to identify the miR-126-5p target gene. RESULTS: One hundred forty-eight differentially expressed miRNAs (downregulated = 55, upregulated = 93) were identified. MiR-126-5p expression in the MCF7 cell line was significantly downregulated relative to that of 184A1 cell line (P < 0.05). Compared with that observed in the control and NC-mimic groups, cell proliferation in the miR-126-5p mimic group was significantly decreased at 48 and 72 h posttransfection (P < 0.05). In addition, the scratch healing rate and number of membrane-piercing cells in the miR-126-5p overexpression group were lower than those detected in the control and NC groups (P < 0.05). Furthermore, miR-126-5p could reduce the luciferase activity for the wild-type CNOT7 gene 3'-untranslated region (UTR) reporter (P < 0.05) but had no effect on the mutant 3'UTR reporter (P > 0.05). Compared with that observed in the NC and control groups, the levels of CNOT7 in the miR-126-5p overexpression group decreased (P < 0.05). CONCLUSION: Upregulation of miR-126-5p can inhibit the migration of the breast cancerMCF7 cell line, which may involve its direct targeting of the 3'UTR of CNOT7.
Entities:
Keywords:
CNOT7; breast cancer; miR-126-5p; migration
Breast cancer remains the primary cause of cancer-related deaths worldwide.[1,2] For patients with late-stage breast cancer, the total 5-year survival rate is
only approximately 15%, which is primarily due to lymph node invasion or conditions
with higher transfer rates such as bone transfer and brain metastasis.[3] Multiple chemotherapy and radiation resistance are also significant factors.[4] Therefore, studying the molecular mechanisms of breast cancer development and
identifying new treatment targets are important for improving the treatment of patients.[5,6]MicroRNAs are small fragments of endogenous single-chain noncoding RNA that are
approximately 19∼25 nt in length, highly conserved, and involved in all aspects of
cell biological function, such as cell proliferation, differentiation, migration and apoptosis.[7,8] MiRNAs can play a carcinogenic or tumor suppressive roles in cancer
progression by specifically binding to mRNA of the target gene.[9] It is estimated that the expression of mRNAs for more than 10,000 genes in
the human genome is regulated by miRNAs.[10] Interestingly, miR-126-5p has been shown to act as a tumor suppressor gene in
many types of cancer[11,12] and has also been observed to be abnormally expressed in endometriosis.
Furthermore, a previous study showed that miR-126-5p downregulates BCAR3 expression
to promote cell migration and invasion in endometriosis.[13] However, little is known regarding the mechanism of miR-126-5p in breast
cancer progression.Therefore, in the present study, we examined the role and mechanism of miR-126-5p in
the regulation of migration of MCF7 cells. We observed that miR-126-5p could
directly bind to CCR4-NOT transcription complex and subunit 7 (CNOT7) mRNA to
regulate MCF7 cell migration.
Materials and Methods
Bioinformatic Analysis of GSE143564
GSE143564 was downloaded from the Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo). GSE143564 was based on the
Affymetrix Multispecies miRNA-4 Array [Probe Set ID version] platform and
included 6 samples (3 breast tissues and 3 adjacent tissues). Quantile
normalization was used to minimize inconsistencies in the GSE series.
Differentially expressed miRNAs between breast and adjacent tissues were
identified with the Limma package in the R software environment and were plotted
using a volcano plot and heatmap using the R packages “ggplot2” and “pheatmap.”
Then, we selected the most significant differentially expressed miRNAs for
further analyses. Three miRNA target gene databases (TargetScan, miRanda and
miRDB) were used to predict the target genes of miRNAs. Then, a Venn diagram was
constructed using the online tool jvenn (http://www.bioinformatics.com.cn/static/others/jvenn/example.html)
to overlap the genes obtained from these 3 databases. Subsequently, enrichment
analysis was performed using the Metascape online tool (http://metascape.org). MiR-126-5p and its target gene network
were constructed with Cytoscape (http://apps.cytoscape.org/).
Breast Cancer and Adjacent Tissue
Twenty primary breast cancer tissue samples and 20 corresponding adjacent normal
mammary tissue samples were obtained from XuZhou Central Hospital. The diagnosis
of breast cancer was pathologically confirmed, and only tumor-node-metastasis
(TNM) stage III patients were included. The patients had not received hormone or
adjuvant therapy prior to breast cancer surgery. All patients and their families
agreed to participate in the experiment and provided written informed consent.
This study was approved by the Research Ethics Committee of XuZhou Central
Hospital (approval no: XZCH-2018-0515, date: 15 March 2018). All tissues were
stored in RNA preservation solution and used for RNA extraction.
Cell Culture and Transfection
MCF7 cells were cultured in DMEM supplemented with 10% fetal bovine serum (FBS)
and 100 U/ml of penicillin in standard conditions in a humidified CO2
incubator at 37 °C and under an atmosphere with 5% CO2. When the
cells reached approximately 80% confluency, they were digested with 0.25%
trypsin and passaged. Cells were inoculated into 6-well plates at a density of
1×105 cells per well and then changed to serum-free medium when
they reached approximately 50∼60% confluency. MCF7 cells were transfected with
miR-126-5p mimics (overexpression group), negative control (NC group), pcDNA and
pcDNA-CNOT7 using Lipofectamine® 2000 according to the manufacturer’s
instructions. The assays were repeated in 3 independent assays in
triplicate.
Methyl Thiazolyl Tetrazolium (MTT) Assay
MCF7 cells were inoculated into a 96-well plate (1×104 cells per
well). After transfection, 5 μg/µl of MTT solution was added to each well for 0,
24, 48, or 72 h. After culturing for 4 h, dimethyl sulfoxide was added to stop
the reaction. The absorbance values of each well at 490 nm were detected by a
microplate reader, and the cell proliferation in each well was determined using
a blank as the control.
Cell Scratch Experiment
MCF7 cells were cultured to monolayers in a routine manner. Then, a straight line
was scratched into the monolayer with a sterilized yellow tip to form a
cell-free growth zone (i.e., a scratch). The width of the scratch was
approximately 500 μm, and the relative distance of the scratch zone was
recorded. Then, the exfoliated cells were washed away in serum-free medium.
After conventional culture in a constant temperature incubator for 4 h, the
exfoliated cells were washed away, the adhered cells were observed and imaged
under an inverted microscope, and the relative distance of cell migration from
the injured area was analyzed.
Cell Invasion Assay
Transwell chambers (8 µm aperture) were used to assess cell migration. MCF7 cells
(5×104) were inoculated in serum-free medium and added to the
upper chamber, while the lower chamber contained medium with 10% serum. After 48
h of culture, the cells that did not pass through the upper cavity were removed
and washed. Then, the cells were fixed in 4% paraformaldehyde for 30 min,
stained with crystal violet, and then observed under an optical microscope and
imaged. Five fields were randomly selected for counting in each group.
PCR
Total RNA was extracted from 184A1 and MCF7 cells using TRIzol reagent, and the
total RNA concentration was determined using a Tecan Nano Quant
PlateTM instrument. Total RNA (1 ng) was used to synthesize cDNA
with a One Step Prime Script cDNA Synthesis kit according to the manufacturer’s
instructions. The cDNA was then used as a template for RT-qPCR, which was
performed using a One Step SYBR® Prime Scripttm TR-PCR kit
in an ABI 7500 instrument. The thermocycling conditions were as follows: 95°C
for 60 s followed by 40 cycles of 95°C for 20 s and 58°C for 40 s. U6 and GAPDH
were used as endogenous controls for the expression of mir-126-5p and target
genes, respectively.[14] Primer sequences are presented in Table 1. The quantitative results were
determined using the 2-ΔΔCt method.
Table 1.
Primer That Used for PCR.
Gene
Forward (5’-3’)
Reverse (5’-3’)
miR-126-5p
TCGTACCGTGAGTAATAATGCG
U6
CTCGCTTCGGCAGCACATA
CTCGCTTCGGCAGCACATA
CNOT7
CACAAATGCTCACCGAAGAA
TTCGATTTCCCTGAGGACTG
GAPDH
GCGGTGGAACTGAAGGATTC
TGGCAGTTTGGGTGTACTGG
Primer That Used for PCR.
Western Blot Analysis
After being transfected for 48 h, cells were lysed with RIPA lysis buffer
supplemented with protease inhibitors to obtain total cell protein. Then, the
extracted protein concentration was determined using a BCA assay kit (Solarbio,
Beijing, China). Subsequently, 20 µg of total protein for each sample was
separated by 10% SDS-PAGE and then transferred to polyvinylidene fluoride (PVDF)
membranes. After blocking with 5% nonfat dried milk, the membranes were
incubated with a primary goat anti-humanCNOT7 primary antibody (Abcam, 1:2000,
USA) at 4 °C overnight followed by an incubation with an HRP-labeled secondary
antibody for 1 h. Lastly, the enhanced chemiluminescent method was used to
detect the protein bands.
Dual-Luciferase reporter Assay
A potential target gene of miR-126-5p was identified from the overlapping results
of 3 databases: TargetScan (http://www.targetscan.org/vert_72/), miRDB (http://mirdb.org/miRDB/) and miRanda (www.microrna.org/microrna/getDownloads.do). A Venn diagram was
generated using Venn diagram viewer (http://www.bioinformatics.com.cn/static/others/jvenn/example.html).[15] Luciferase pmirGLO reporter plasmids were generated harboring the
wild-type (WT) or mutated (MUT) 3’-untranslated region (3’UTR) of the CNOT7. The
cells were cotransfected with the dual-luciferase reporter plasmids (WT/MUT
plasmids) and miR-126-5p mimics or NC, and the dual-luciferase assay kit was
used to determine the luciferase activity, where the firefly luciferase activity
was normalized to that of marine kidney luciferase.
Statistical Analysis
SPSS 20.0 was used for statistical analysis. The data are presented as the means
and standard deviation (SD). One-way ANOVA was used for multigroup comparison,
and the Student-Newman-Keuls (SNK) method was used for pairwise comparison.
Comparison of the means between 2 groups was performed using the 2-tailed
Student’s t-test (parametric) or the Mann-Whitney U test (nonparametric).
Pearson correlation analysis to evaluate differences in expression between
miR-126-5p and CNOT7. P < 0.05 was considered statistically significant.
Results
Analysis of Differentially Expressed miRNA Expression Profiles
The box plots of the log expression values for all genes in each group (breast
tissues versus adjacent tissues) before and after normalization were mapped
(Figure 1A). After
normalization, the median values of each sample were extremely similar,
suggesting that the data should be further analyzed. After normalization, 148
differentially expressed miRNAs (downregulated = 55, upregulated = 93) were
identified (Figure 1B),
the top 100 of which are shown as a heatmap (Figure 1C). Among the differentially
expressed miRNAs, miR-126-5p was the most significantly downregulated and was
therefore chosen for an in-depth study. Twenty-one overlapping genes were
identified from the TargetScan, miRanda and miRDB databases (Figure 1D). Enrichment
analysis showed that these target genes were primarily enriched in pentose and
glucuronate interconversions, homophilic cell adhesion via plasma membrane
adhesion molecules, cellular hormone metabolic process, phenylpropanoid
metabolic process, chloride transport, glycosphingolipid biosynthetic process,
GPCR ligand binding, cellular response to drug, mononuclear cell migration,
leucine metabolic process, negative regulation of phospholipase activity,
positive regulation of T cell cytokine production, negative regulation of
myeloid cell differentiation, folate biosynthesis, protein localization to
cilium, positive regulation of NIK/NF-kappa B signaling, positive regulation of
interleukin-23 production, alcohol metabolic process and negative regulation of
response to DNA damage stimulus (Figure 1E). Figure 1F shows the interaction between
miR-126-5p and its target genes.
Figure 1.
miR-126-5p is downregulated in breast cancer tissues. (A) Comparison of
the expression values before and after normalization. (B) Volcano plot
of the differentially expressed miRNAs between breast cancer and
adjacent tissues. Green dots represent downregulated miRNAs, and red
dots represent upregulated miRNAs in breast tissues; black dots
represent normally expressed miRNAs. (C) Heatmap showing the profiles of
the top 100 differentially expressed miRNAs between breast and adjacent
tissues. Green and red indicate low and high expression, respectively.
(D) Venn diagram results showing the overlapping predicted genes from
the TargetScan, miRanda and miRDB databases. (E) Top 20 enriched gene
ontology and KEGG pathway terms for the overlapping predicted genes. (F)
Regulatory network between miR-126-5p and its target genes.
miR-126-5p is downregulated in breast cancer tissues. (A) Comparison of
the expression values before and after normalization. (B) Volcano plot
of the differentially expressed miRNAs between breast cancer and
adjacent tissues. Green dots represent downregulated miRNAs, and red
dots represent upregulated miRNAs in breast tissues; black dots
represent normally expressed miRNAs. (C) Heatmap showing the profiles of
the top 100 differentially expressed miRNAs between breast and adjacent
tissues. Green and red indicate low and high expression, respectively.
(D) Venn diagram results showing the overlapping predicted genes from
the TargetScan, miRanda and miRDB databases. (E) Top 20 enriched gene
ontology and KEGG pathway terms for the overlapping predicted genes. (F)
Regulatory network between miR-126-5p and its target genes.
MiR-126-5p Is Downregulated in MCF7 Cells
As shown in Figure 2A,
miR-126-5p expression was decreased in breast cancer tissue relative to that
observed in adjacent tissues (t = 41.53, degree of freedom [df] = 38, P <
0.0001). In contrast, CNOT7 expression was significantly increased in breast
cancer tissue relative to that observed in adjacent tissues (t = 25.19, df = 38,
P < 0.0001, Figure
2B) such that miR-126-5p expression was negatively correlated with that
of CNOT7 in breast cancer tissue (r = -0.772, P = 0.040, Figure 2C).
Figure 2.
miR-126-5p is downregulated in breast cancer tissues. (A) Relative
expression of miR-126-5p in breast cancer and adjacent tissues. (B)
Relative expression of CNOT7 in breast cancer and adjacent tissues. (C)
Correlation of miR-126-5p and CNOT7 in breast cancer tissue. (D)
Relative expression of miR-126-5p in the normal 184A1 breast cell line
and the breast cancer MCF7 cell line. (E) Relative expression of CNOT7
in the normal 184A1 breast cell line and the breast cancer MCF7 cell
line. F Correlation of miR-126-5p and CNOT7 in the MCF7 cell line. (F)
MTT was used to measure the viability of MCF7 cells between the control,
NC and miR-126-5p mimic groups at 24, 48 and 72 h.
miR-126-5p is downregulated in breast cancer tissues. (A) Relative
expression of miR-126-5p in breast cancer and adjacent tissues. (B)
Relative expression of CNOT7 in breast cancer and adjacent tissues. (C)
Correlation of miR-126-5p and CNOT7 in breast cancer tissue. (D)
Relative expression of miR-126-5p in the normal 184A1 breast cell line
and the breast cancerMCF7 cell line. (E) Relative expression of CNOT7
in the normal 184A1 breast cell line and the breast cancerMCF7 cell
line. F Correlation of miR-126-5p and CNOT7 in the MCF7 cell line. (F)
MTT was used to measure the viability of MCF7 cells between the control,
NC and miR-126-5p mimic groups at 24, 48 and 72 h.In addition, miR-126-5p expression was observed to be decreased in MCF7 cells
relative to that detected in 184A1 cells (t = 37.46 df = 10, P < 0.0001,
Figure 2D). In
contrast, the expression of the target gene of miR-126-5p, CNOT7, was increased
in MCF7 cells relative to that detected in 184A1 cells (t = 41.88 df = 10, P
< 0.0001, Figure 2E).
Further study revealed that the relative expression of CNOT7 and miR-126-5p were
negatively correlated (r = − 0.734, P = 0.002, Figure 2F).The MTT results showed that the proliferation of cells in the miR-126-5p
overexpression group was significantly decreased at 48 and 72 h relative to that
observed in the control group (P = 0.0001). There was no significant difference
in the proliferation between the control and NC groups at 0 and 24 h (P >
0.05), as shown in Figure
2G.
Effects of miR-126-5p Overexpression on MCF7 Cell Migration
Transwell assay results showed that the number of membrane-penetrating cells in
the control, the NC and miR-126-5p overexpression groups was 100 ± 12, 105 ± 8
and 65 ± 4 cells/vision, respectively. Compared with that observed in the
control and NC groups, the number of membrane-penetrating cells in the
miR-126-5p overexpression group was significantly decreased (F = 132.8, P <
0.0001, Figure 3A).
Figure 3.
miR-126-5p mimics can inhibit the migration of MCF7 cells. (A) Transwell
analyses of MCF7 cells from the miR-126-5p mimic, NC-mimic and control
groups. (B) Cell migration was assessed in the MCF7 cell line
transfected with miR-126-5p mimics or NC-mimics at 0 and 24 h by wound
healing assay.
miR-126-5p mimics can inhibit the migration of MCF7 cells. (A) Transwell
analyses of MCF7 cells from the miR-126-5p mimic, NC-mimic and control
groups. (B) Cell migration was assessed in the MCF7 cell line
transfected with miR-126-5p mimics or NC-mimics at 0 and 24 h by wound
healing assay.The wound healing assay results showed that the migration distance of cells in
the control, the NC and the miR-126-5p overexpression groups was 5.0 ± 1.0, 5.2
± 0.6 and 1.1 ± 0.4 μm/24 h, respectively. Compared with the control and NC
group, the migration distance in the MCF7 cell line in the miR-126-5p
overexpression group was significantly decreased (F = 314.6, P < 0.001, Figure 3B).
MiR-126-5p Can Directly Bind to CNOT7
TargetScan predicted that the 3’UTR of the CNOT7 gene harbors a complementary
site that could bind to miR-126-5p (Figure 4A). Subsequently, dual-luciferase
reporter gene assay results showed that miR-126-5p mimics could reduce the
luciferase activity of the WT CNOT7 3’UTR reporter (P < 0.0001, Figure 4B) but had no
effect on the reporter with the mutant 3’UTR (P = 0.971, Figure 4B).
Figure 4.
miR-126-5p can directly bind to the CNOT7 3’UTR in the MCF7 cell line.
(A) Binding sites between miR-126-5p and CNOT7. (B) Luciferase activity
of a reporter containing a wild-type (WT) 3’UTR or mutant (MUT) CNOT7
3’UTR in cells with miR-126-5p mimics or NC is shown.
miR-126-5p can directly bind to the CNOT7 3’UTR in the MCF7 cell line.
(A) Binding sites between miR-126-5p and CNOT7. (B) Luciferase activity
of a reporter containing a wild-type (WT) 3’UTR or mutant (MUT) CNOT7
3’UTR in cells with miR-126-5p mimics or NC is shown.
Effects of miR-126-5p Overexpression on CNOT7 in MCF7 Cells
To assess the effects of CNOT7 on MCF7 cell migration, MCF7 cells were
transfected with miR-126-5p mimic alone or combined with pcDNA-CNOT7. The
inhibitory effect of miR-126-5p on the migration of MCF7 cells was partially
reversed by cotransfection with CNOT7 (Figure 5A). In addition, the wound
healing assay results were similar to those of the Transwell assay (Figure 5B).
Figure 5.
CNOT7 can partially reverse the inhibitory effects of miR-126-5p on MCF7
cell line migration. (A) Transwell migration results for the NC,
miR-126-5p mimic, miR-126-5p mimic + pcDNA and miR-126-5p mimic +
pcDNA-CNOT7 groups. (B) Wound healing assay for the NC, miR-126-5p
mimic, miR-126-5p mimic + pcDNA and miR-126-5p mimic + pcDNA-CNOT7
groups. (C) Relative CNOT7 gene expression in the NC, miR-126-5p mimic,
miR-126-5p mimic + pcDNA and miR-126-5p mimic + pcDNA-CNOT7 groups.
Finally, we measured the protein expression of CNOT7 under various conditions.
CNOT7 expression in the miR-126-5p mimic group was significantly downregulated.
However, the downregulation of CNOT7 in the miR-126-5p group was partially
reversed by cotransfection with pcDNA-CNOT7 (Figure 5C).CNOT7 can partially reverse the inhibitory effects of miR-126-5p on MCF7
cell line migration. (A) Transwell migration results for the NC,
miR-126-5p mimic, miR-126-5p mimic + pcDNA and miR-126-5p mimic +
pcDNA-CNOT7 groups. (B) Wound healing assay for the NC, miR-126-5p
mimic, miR-126-5p mimic + pcDNA and miR-126-5p mimic + pcDNA-CNOT7
groups. (C) Relative CNOT7 gene expression in the NC, miR-126-5p mimic,
miR-126-5p mimic + pcDNA and miR-126-5p mimic + pcDNA-CNOT7 groups.
Discussion
In the present study, GSE143564 was used for bioinformatic analyses of differentially
expressed miRNAs between breast cancer and normal adjacent tissue. We observed that
miR-126-5p expression was decreased in breast cancer tissue relative to that
detected in normal adjacent tissues, which was further analyzed using the MCF7 cell
line. Additionally, miR-126-5p was shown to potentially be involved in the
regulation of breast cancer cell migration. MiR-126-5p and CNOT7 expression are
negatively correlated. Moreover, miR-126-5p could significantly inhibit the
migration of MCF7 cells, as demonstrated by Transwell and scratch experiments.
MiR-126-5p mimics could significantly decrease the migration distance and migratory
cell number. Furthermore, TargetScan and dual-luciferase reporter analyses revealed
that miR-126-5p could significantly bind to the CNOT7 3’UTR.Abnormal miR-126-5p has been shown to be associated with the pathological processes
of various diseases. Wang et al.[11] reported that miR-126-5p binds to the Bcl2l2 mRNA 3’-UTR and promotes cell
apoptosis in cervical cancer. Thus, miR-126-5p plays an inhibitory role in human
cervical cancer progression and may be a potential therapeutic target for cervical
cancer. In addition, Sun et al.[16] observed that the miR-126-5p/YAP1/MALAT1 axis can control angiogenesis and
the epithelial-mesenchymal transition in colorectal carcinoma.Recently, miR-126-5p has been shown to be useful in different types of cancer as a
tumor suppressor[17]. Fiala et al.[17] found that miR-126-5p expression was significantly associated with
progression-free survival and overall survival in metastatic colorectal cancer. In
another study, Gu et al.[18] explored the relationship between miR-126-5p and esophageal cancer cells and
observed that miR-126-5p could target CDK6 and has a positive role in inhibiting the
proliferation and migration of esophageal cancer cells.However, studies on miR-126-5p in breast cancer are scarce. In the present study,
miR-126-5p expression in breast cancer and normal adjacent tissue was assessed. The
results showed that miR-126-5p expression in MCF7 cells was significantly
downregulated compared to that observed in the normal breast cell line 184A1. MTT,
Transwell and scratch experiments were used to assess the effect of miR-126-5p on
the proliferation and migration of MCF7 cells. MiR-126-5p mimics reduced breast
cancer cell migration, indicating that miR-196b-5p may serve as a novel therapeutic
target for breast cancer. MiR mimic therapy is an emerging modality for cancer treatment[19] and has some advantages over siRNA therapy, as miR mimics target multiple
genes. However, miR mimics have low serum stability, and developing an effective
delivery system is of great importance to realize the full potential of miR therapy.
Further experiments will be conducted in the future using in vivo animal models,
which will further reveal the effects of miR-126-5p for the treatment of breast
cancer.CNOT7 expression is altered in acute leukemias and may represent a promising
biomarker and drug target for these diseases. Maragozidis et al.[20] revealed that CNOT7 is differentially expressed in squamous cell lung cancer
clinical samples. Furthermore, CNOT7 was identified as a diagnostic marker for lung
cancerpatients. In the present study, we also observed that CNOT7 was highly
expressed in MCF7 cells relative to that detected in the normal breast cell line.
Therefore, we performed a dual-luciferase reporter assay to confirm that miR-126-5p
could directly target the 3’UTR of CNOT7.The results of the present study predicted and verified that CNOT7 is a target gene
of miR-126-5p and that CNOT7 exhibited the opposite expression pattern as
miR-126-5p. Upregulating miR-126-5p significantly inhibited CNOT7 expression. CNOT7
has been shown to be overexpressed in a variety of humancancers and to play a
carcinogenic role in tumor development.[21,22] For example, Maragozidis et al.[20] showed that PARN, CNOT6, CNOT7 and NOC, 4 deadenylases, are differentially
expressed in lung cancer clinical samples. In the present study, we showed that
miR-126-5p directly binds to the 3’UTR of CNOT7 to inhibit breast cancer
progression.
Conclusion
In summary, miR-126-5p may serve as a tumor suppressor and inhibit the migration of
breast cells by directly binding to CNOT7. Therefore, miR-126-5p may act as a
potential diagnostic marker and therapeutic target of breast cancer. However, how
miR-126-5p regulates the epithelial-mesenchymal transformation and angiogenesis of
breast cancer through other signaling pathways and complex regulatory networks
requires further research.
Authors: Ondrej Fiala; Pavel Pitule; Petr Hosek; Vaclav Liska; Ondrej Sorejs; Jan Bruha; Ondrej Vycital; Tomas Buchler; Alexandr Poprach; Ondrej Topolcan; Jindrich Finek Journal: Tumour Biol Date: 2017-07
Authors: Fred R Hirsch; Giorgio V Scagliotti; James L Mulshine; Regina Kwon; Walter J Curran; Yi-Long Wu; Luis Paz-Ares Journal: Lancet Date: 2016-08-27 Impact factor: 79.321
Authors: Farhoud Faraji; Ying Hu; Howard H Yang; Maxwell P Lee; G Sebastian Winkler; Markus Hafner; Kent W Hunter Journal: PLoS Genet Date: 2016-01-25 Impact factor: 5.917