Several microRNAs (miRNAs) have been reported as oncogenes or tumor suppressors in many cancers, including gastric cancer (GC). However, the role and molecular mechanism of miR-3129 in GC is largely unknown. We aimed to explore the function and the underlying molecular mechanism of miR-3129 in GC. Cancer tissues and corresponding adjacent tissues were collected from 50 patients with GC, and the expression of miR-3129 was detected by RT-qPCR. The expression of miR-3129 and pRb in human GC cell line SCG7091 was altered by transient transfection. Thereafter, MTT and flow cytometry assays were used to analyze cell viability and cell cycle. The expression of cyclin E, CDK2, CDK2 inhibitors (p16 and 21), and pRb were detected by RT-qPCR and western blot. A significant up-regulation of miR-3129 was observed in GC tissues compared to adjacent tissues. Overexpression of miR-3129 significantly improved cell viability after 4 days of post-transfection. Flow cytometry assay results showed that the miR-3129 overexpression arrested more SGC7901 cells at S phase. Moreover, overexpression of miR-3129 down-regulated the expression of CDK2 inhibitors while it up-regulated the expression levels of cyclin E, CDK2, and pRb. Interestingly, we found that pRb inhibition reversed the effect of miR-3129 inhibitor on cell proliferation in SGC7901 cells, increased cell viability, reduced cells at G0/1 phase, and modulated the expression of proliferation-related factors. Our results revealed that miR-3129 functioned as an oncogene through positive regulation of pRb and may prove to be a promising option for molecular therapy of GC.
Several microRNAs (miRNAs) have been reported as oncogenes or tumor suppressors in many cancers, including gastric cancer (GC). However, the role and molecular mechanism of miR-3129 in GC is largely unknown. We aimed to explore the function and the underlying molecular mechanism of miR-3129 in GC. Cancer tissues and corresponding adjacent tissues were collected from 50 patients with GC, and the expression of miR-3129 was detected by RT-qPCR. The expression of miR-3129 and pRb in human GC cell line SCG7091 was altered by transient transfection. Thereafter, MTT and flow cytometry assays were used to analyze cell viability and cell cycle. The expression of cyclin E, CDK2, CDK2 inhibitors (p16 and 21), and pRb were detected by RT-qPCR and western blot. A significant up-regulation of miR-3129 was observed in GC tissues compared to adjacent tissues. Overexpression of miR-3129 significantly improved cell viability after 4 days of post-transfection. Flow cytometry assay results showed that the miR-3129 overexpression arrested more SGC7901 cells at S phase. Moreover, overexpression of miR-3129 down-regulated the expression of CDK2 inhibitors while it up-regulated the expression levels of cyclin E, CDK2, and pRb. Interestingly, we found that pRb inhibition reversed the effect of miR-3129 inhibitor on cell proliferation in SGC7901 cells, increased cell viability, reduced cells at G0/1 phase, and modulated the expression of proliferation-related factors. Our results revealed that miR-3129 functioned as an oncogene through positive regulation of pRb and may prove to be a promising option for molecular therapy of GC.
Gastric cancer (GC) is one of the most common malignancies and the second leading
cause of cancer-related death worldwide (1).
According to the results of 2016 cancer estimation, there were 26,370 new GC cases
and 10,730 deaths occurred in the USA. The highest incidence rate was concentrated
in Eastern Asia, Central and Eastern Europe, and South America (2). Currently, treatment options in the
adjuvant therapy of GC remain limited due to the poor early diagnosis and prognosis.
Therefore, to find and develop promising biomarkers of screening for GC is urgently
needed (3). An increasing number of studies
have revealed that microRNAs (miRNAs) are deregulated in a variety of malignancies
and play a critical role in the development and process of tumors. Thus, exploring
the role of miRNAs in tissues or cells may provide the basis for their development
as novel diagnostic, prognostic, and predictive biomarkers, as well as therapeutic
targets (4).miRNAs are short (20–24 nt) non-coding RNAs involved in post-transcriptional
regulation of gene expression in multicellular organisms by affecting both the
stability and translation of mRNAs (5). Human
genome research has confirmed that at least 200 miRNAs are associated with a number
of cancer types, including GC (6). For
instance, miR-9, miR-421, miR-27a, and miR-143 have been reported to be involved in
the development and progression of the GC by regulating tumor cells proliferation,
apoptosis, invasion, and metastasis (7–11). Regarding miR-3129, previous studies have
demonstrated that it might be associated with the risk of cancers including
colorectal and breast cancer (12,13). However, the role of miR-3129 in GC has
not been demonstrated yet.The retinoblastoma protein (pRb) is encoded by the RB1 gene, which has been
identified as a tumor suppressor protein and as dysfunctional in several cancers
(14). pRb plays key roles in cell cycle
regulation through its ability to bind and interact with a variety of cellular
proteins, which is governed by its phosphorylation state (15). When pRb is bound to E2F, the interactive complex acts as
a growth suppressor and prevents progression by controlling cell cycle (16). Evidence has proven that pRb is capable of
controlling cell cycle by E2F-independent effects (17). Nevertheless, whether miR-3129 could alter pRb and thus further
participate in the development and progression of GC has not been reported.Therefore, we aimed to investigate the role of miR-3129 in GC cells and explore the
underlying molecular mechanisms. Our results might provide a new insight into the
potential molecular therapy for GC.
Material and Methods
Patient samples
GC tissues and corresponding adjacent tissues from 50 patients (29 males and 21
females, aged from 30–66 years) who underwent resection of primary GC were used.
The samples were collected in Jining No. 1 People’s Hospital between February
2015 and August 2016, and stored at -80°C. Patients had not received
radiotherapy or chemotherapy prior to surgery. Tumor grade was determined
according to various classifications of tumors (18). Eleven cases were well differentiated, ten moderately
differentiated, fifteen poorly, and fourteen undifferentiated by pathological
grading. GC patients were classified into four stages according to TNM
classification. Twelve cases were in TNM stage I, nineteen in TNM stage II, nine
in TNM stage III, and ten in TNM stage IV (Table 1). The study was approved by the Research Ethics Committee of
Jining No. 1 People’s Hospital and written informed consent was obtained from
all patients.
Table 1.
Clinicopathological features of 50 patients with gastric
cancer.
Parameters
N
P value (chi-squared test)
Age (years)
0.749
<50
22
>50
28
Gender
0.704
Male
29
Female
21
Size
0.665
>3cm
19
≤3cm
31
Differentiation
0.815
Well
11
Moderately
10
Poorly
15
Undifferentiated
14
TNM stage
0.897
I
12
II
19
III
9
IV
10
TNM: tumor, node, metastasis.
TNM: tumor, node, metastasis.
Cell culture
Human GC cell line SGC7901 was purchased from Ambion (Invitrogen, USA). Cells
were cultured in Roswell Park Memorial Institute (RPMI)-1640 medium (Invitrogen)
supplemented with 10% fetal bovine serum (FBS; Gibco, USA), 100 U/mL of
penicillin sodium, and 100 µg/mL streptomycin sulfate (Gibco) in a humidified
atmosphere with 5% CO2 at 37°C (19).
Cell transfection
Synthetic miR-3129 mimic, miR-3129 inhibitor, and scrambled control RNA were
purchased from Genepharma (China). The scrambled control RNA represents a
universal control for both inhibitors and mimics that are based on the sequences
of miRNAs in C. elegans. SGC7901 cells were seeded in 6-well
plates and transfected with miR-3129 mimic, miR-3129 inhibitor, and control
using Lipofectamine 2000 (Invitrogen) on the following day when the cells were
approximately 70% confluent. In each well, equal amounts (100 pmol) of miR-3129
mimic, inhibitor, and control were used (20).For the silencing of pRb, siRNA targeted pRb (si-pRb) or the corresponding
negative control (si-NC) was synthesized by Genepharma. SGC7901 cells were
seeded onto 6-well plates and then transfected with si-NC or si-pRb by using
Lipofectamine 2000 (Invitrogen) when the confluence was reached to approximately
70%. After transfection for 48 h, cells were harvested and then used for the
subsequent experiments.
Cell viability assay
Cell viability was assessed using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl
tetrazolium bromide (MTT) colorimetric assay. Briefly, 100-μL transfected-cells
suspension were seeded onto 96-well plate and incubated for 1–5 days.
Subsequently, 50 μL of MTT (Beyotime, China) was added to culture medium and
this mix was incubated for another 4 h at 37°C. Thereafter, 100 μL solution of
4% HCl 1N in 2-propanol was mixed thoroughly into each well. Plates were read on
a microplate reader (Molecular Devices, USA) at a wavelength of 570 nm, with a
background reading at 650 nm subtracted. Triplicate readings for each sample
were averaged (21).
Cell cycle analysis by flow cytometry
Cell cycle analysis is a method that employs flow cytometry to distinguish cells
from different phases of the cell cycle. Briefly, SGC-7901 cells were plated in
96-well plates and transfected with miR-3129 mimic, miR-3129 inhibitor or
control for 48 h at 37°C. Cells were harvested at 48 h post-transfection, washed
once with phosphate-buffered saline (PBS), and then fixed overnight in 70%
ethanol at 4°C and stained for DNA content using PI (50 μg/mL) with RNase A (100
μg/mL) (Beyotime, China), followed by incubation for 30 min in the dark at room
temperature. The percentage of the cells in G0/G1, S, and G2/M phases were
counted and compared using a FACScan flow cytometer (Becton Dickinson, USA)
(22).
RNA extraction and quantitative real-time PCR (RT-qPCR) analysis
Total RNAs of SGC7901 cells and patient samples were extracted with TRIzol
reagent (Invitrogen) according to manufacturer's protocol. First strand
complimentary DNA (cDNA) was synthesized using PrimeScript 1st Strand
cDNA Synthesis Kit (Invitrogen) following the manufacturer's instructions.
RT-qPCR was performed using an Applied Biosystems 7900 Real-time PCR system and
a Fast Start Universal SYBR green Master (Roche) with the universal reverse
primer provided in the kit. The thermocycling parameters were 95°C for 3 min and
40 cycles of 95°C for 15 s followed by 60°C for 30 s. Each sample was run in
triplicate and was normalized to U6 snRNA level (forward: 5′-CTT CGG CAG CAC ATA
TAC T-3′ and reverse: 5′-AAA ATA TGG AAC GCT TCA CG-3′). The specific primer for
miR-3129 was forward: 5′-GGG GCA GTA GTG TAG AGA T-3′ and reverse: 5′-CAG TGC
GTG TCG TGG AGT-3′. Melting curve analysis was performed to confirm the
specificity of the PCR products. The replicates were then averaged, and fold
induction was determined by a ΔΔCT-based fold change calculation (23).
Western blot analysis
The cells were washed twice with PBS and then lysed with 1× sodium dodecyl
sulfate (SDS)-loading buffer (50 mM Tris-Cl, pH 6.8, 100 mM DTT, 2% SDS, 10%
glycerol, and 0.1% bromophenol blue) as the whole-cell sample. The protein
samples were subjected to SDS-polyacrylamide gel electrophoresis (SDS-PAGE).
Immunoblottings were carried out with primary antibodies cyclin E (ab3927),
cyclin-dependent kinase 2 (CDK2; ab6433), β-actin (ab8227) (Abcam, UK), and pRb
(#9313; Cell Signaling Technology, USA). After being washed three times with
PBS, the membranes were incubated in horseradish peroxidase-conjugated secondary
antibodies at room temperature for 1 h. Proteins bands were developed by
enhanced chemiluminescence (ECL-plus, Amersham Pharmacia Biotech) and visualized
by using Image Lab™ Software (Bio-Rad, USA).
Statistical analysis
All experiments were repeated independently three times. Data are reported as
means±SD of multiple experiments. Each set of data was tested for normal
distribution using the Kolmogorov-Smirnov test as well as for homogeneity of
variances prior to statistical analysis. Statistical analyses were performed
using the GraphPad Prism 5.0 software (GraphPad Software, USA) by the
chi-squared test for clinicopathological features, Student's
t-test for comparisons of two groups, and one-way ANOVA
followed by Tukey post hoc test for comparisons of three groups
or more. P<0.05 was considered statistically significant.
Results
Expression of miR-3129 was up-regulated in GC tissues
There was no significant difference in clinicopathological features such as age,
gender, tumor size, level of differentiation, and TNM stage of 50 patients
(Table 1). RT-qPCR results showed
that, among 50 patients, 41 (82%) presented highly expressed miR-3129, while
miR-3129 was down-regulated in 9 (18%) GC patients (Figure 1A). In addition, results in Figure 1B showed that miR-3129 expression level was
significantly higher in tumor tissues than adjacent tissues (P<0.05),
implying miR-3129 might be related to GC. Therefore, we analyzed its roles in
SGC7901 cells in the following experiments.
Figure 1.
Relative miR-3129 expression in human gastric cancer (GC) tissues.
A, Relative expression of miR-3129 in GC tissues
when compared with adjacent tissues, which were detected by RT-qPCR.
B, Relative expression of miR-3129 in tumor and
adjacent tissues. RT-qPCR: quantitative real time polymerase chain
reaction. Data are reported as means±SD. *P<0.05
(t-test).
miR-3129 promoted cell viability of SGC7901 cells
To investigate the functional role of miR-3129 in GC cells, miR-3129 mimic and
inhibitor were transfected into SGC7901 cells to suppress and overexpress,
respectively, miR-3129 levels. RT-qPCR assays revealed that miR-3129 expression
was significantly promoted by miR-3129 mimic in SGC-7901 (P<0.01), and
reduced by miR-3129 inhibitor (P<0.01) (Figure
2A). To assess the regulatory effect of miR-3129 on cell viability,
MTT assay was performed at 1, 2, 3, 4, and 5 days after miR-3129 transfection.
As shown in Figure 2B, miR-3129
overexpression significantly increased cell viability of GC cells at 4 days
post-transfection (P<0.01 or P<0.001). On the contrary, miR-3129
inhibition dramatically reduced cell viability at 4 days post-transfection in GC
cells (P<0.01 or P<0.001). These results indicated that miR-3129 acted as
an oncogene by improving GC cells viability.
Figure 2.
Effect of miR-3129 expression on SGC7901 cells viability.
A, miR-3129 mimic and inhibitor were firstly
transfected into SGC7901 cells to inhibit and overexpress miR-3129
expression by RT-qPCR. B, MTT assay was performed to
determine SGC-7901 cells viability after the transfected cells were
cultured for 1–5 days. RT-qPCR: quantitative real time polymerase chain
reaction. Data are reported as means±SD. **P<0.01, ***P<0.001
(ANOVA followed by Tukey post hoc test).
miR-3129 induced S phase arrest in SGC7901 cells
We further examined the effect of miR-3129 on cell proliferation of GC cells
through using flow cytometry. miR-3129 mimic significantly reduced the rates of
cell at G0/G1 phase but increased the number of cells at S and G2/M phases
(Figure 3; P<0.05). A completely
opposite result was observed in the regulation of miR-3129 inhibition on cell
cycle (P<0.05 or P<0.01). These results indicated that miR-3129
overexpression in SGC-7901 induced cell cycle arrest at S phase.
Figure 3.
Effect of miR-3129 on gastric cancer cell cycle. After transfection
with miR-3129 mimic and inhibitor, the percentage of cells in G1/G0, S,
and G2/M phases was analyzed by flow cytometry. Data are reported as
means±SD. *P<0.05, **P<0.01 (ANOVA followed by Tukey post
hoc test).
miR-3129 improved the expression of cyclin E and CDK2 in SGC7901
cells
Cyclin E and CDK2 are two vital regulators of cell cycle. CDK2 can form complexes
with cyclins and be activated in the late G1 phase, and thus promote G1/S
transition (24). Therefore, these two
factors were used to verify the function of miR-3129 on cell cycle. Western
blotting results showed that compared with the control group, the expression of
cyclin E and CDK2 were both up-regulated by miR-3129 mimic but down-regulated by
miR-3129 inhibitor (Figure 4A). Similar
results were observed in the mRNA expression by RT-qPCR analysis, as miR-3129
overexpression significantly increased the mRNA levels of cyclin E and CDK2
(P<0.01), while miR-3129 inhibition reduced the mRNA expressions of both
factors (P<0.05) (Figure 4B). We also
investigated the effect of miR-3129 on the expression of CDK inhibitors
including p16 and p21. As shown in Figure
4C, the expressions of p16 and p21 were both inhibited by miR-3129
mimic but enhanced by miR-3129 inhibitor. Consistently, the mRNA levels of p16
and p21 were down-regulated by miR-3129 mimic while up-regulated by miR-3129
inhibitor (P<0.05 or P<0.01) (Figure
4D). These data suggested that miR-3129 overexpression was able to
modulate SGC7901 cells cycle via regulation of cyclin E and CDK2.
Figure 4.
Effects of miR-3129 on cyclin E and CDK2 expression in SGC7901
miR-transfected cells. A, Western blotting was
performed to assess the expression of cyclin E and CDK2.
B, RT-qPCR was performed to assess the expression
of cyclin E and CDK2. C, Western blotting was performed
to assess the expression of p16 and 21. D, RT-qPCR was
performed to assess the expression of p16 and 21. CDK: cyclin dependent
kinase; RT-qPCR: quantitative real time polymerase chain reaction. Data
are reported as means±SD. *P<0.05, **P<0.01 (ANOVA followed by
Tukey post hoc test).
miR-3129 regulated pRb in SGC7901 cells
Previous studies have indicated the important roles of pRb in the cell cycle
(25). We further investigated the
effects of miR-3129 on SGC-7901 cell cycle by detecting pRb expression. Western
blot and RT-qPCR analytical results showed that the expression of pRb was
significantly up-regulated in miR-3129-overexpressing cells (P<0.05) (Figure 5A and B), while pRb was obviously
down-regulated in miR-3129-suppression cells (P<0.05) (Figure 5C and D). Thus, we inferred that miR-3129 could
regulate pRb expression in SGC7901 cells.
Figure 5.
Effects of miR-3129 on pRb expression in SGC7901 cells.
A, Western blot and B, RT-qPCR
analyses were performed to determine the levels of pRb in
miR-3129-overexpressing cells. C, Western blot and
D, RT-qPCR analyses were performed to determine the
levels of pRb in miR-3129-suppressing cells. pRb: retinoblastoma
protein; RT-qPCR: quantitative real time polymerase chain reaction. Data
are reported as means±SD. *P<0.05 (Student's
t-test).
pRb silencing reversed the effect of miR-3129 inhibitor on cell proliferation
of SGC7901 cells
To further investigate whether miR-3129 had a role in cell proliferation of
SGC7901 cells through targeting pRb, the expression of pRb in SGC7901 cells was
knockdown by transfection with si-pRb. The transfected efficiency was identified
by RT-qPCR and western blot. As expected, the mRNA and protein expression of pRb
was efficiently suppressed by si-pRb transfection (Figure 6A and B, P<0.01). Then, SGC7901 cells were
co-transfected with si-pRb and miR-3129 inhibitor, and cell viability, cell
cycle, and expression levels of proliferation-related factors were measured. We
found that knockdown of pRb reversed the effect of miR-3129 inhibitor on cell
viability, as the co-transfection of miR-3129 inhibitor and si-pRb significantly
increased cell viability of SGC7901 cells, compared with co-transfection with
miR-3129 inhibitor and si-NC (Figure 6C,
P<0.05, P<0.01 or P<0.001).
Figure 6.
Effects of si-pRb transfection on pRb expression and cell viability
of SGC7901 cells transfected with si-pRb and si-NC for 48 h.
A, RT-qPCR and B, western blot
analysis was performed to assess the expression levels of pRb. SGC7901
cells were co-transfected with miR-3129 inhibitor and si-NC, or
co-transfected with miR-3129 inhibitor and si-pRb. C,
cell viability was measured by MTT assay. RT-qPCR: quantitative real
time polymerase chain reaction; pRb: retinoblastoma protein; si-pRb:
siRNA targeted pRb. Data are reported as means±SD. **P<0.01,
***P<0.001, #P<0.05 (ANOVA followed by Tukey
post hoc test).
Similarly, we also found that pRb silencing reversed the effect of miR-3129
inhibitor on cell cycle arrest and the expression of proliferation-related
factors. As shown in Figure 7A and B,
co-transfection of miR-3129 and si-pRb significantly increased the rates of
cells at S and G2/M phases but reduced the rate of cells at G0/G1 phase,
compared with co-transfection with miR-3129 inhibitor and si-NC. Meanwhile, the
silencing of pRb efficiently abolished the effect of miR-3129 on the expression
of proliferation-related factors, as pRb inhibition significantly up-regulated
the expression of cyclin E and CDK2, but down-regulated the expression of p16
and p21 in miR-3129-transfected cells (Figure
7C-F, P<0.05 or P<0.01). Taken together, these results
indicated that pRb mediated the modulatory effect of miR-3129 on cell
proliferation of SGC7901 cells.
Figure 7.
Effects of pRb silencing on cell cycle arrest and expression levels
of proliferation-related factors. SGC7901 cells were co-transfected with
miR-3129 inhibitor and si-NC, or co-transfected with miR-3129 inhibitor
and si-pRb, then, A and B, the ratio
of cells at G0/1, S, and G2/M phases was analyzed by flow cytometry.
C, Western blot analysis and D,
RT-qPCR were performed to determine the protein and mRNA expression of
cyclin E and CDK2 in SGC7901 cells. E, Western blot
analysis and F, RT-qPCR were performed to determine the
protein and mRNA expression of p16 and 21 in SGC7901 cells. RT-qPCR:
quantitative real time polymerase chain reaction; pRb: retinoblastoma
protein; si-pRb: siRNA targeted pRb; CDK: cyclin dependent kinase. Data
are reported as means±SD. *P<0.05, **P<0.01, #P<0.05
(ANOVA followed by Tukey post hoc test).
Discussion
Mortality remains high in GC patients due to the lack of effective methods of
diagnosis and treatment (26). Since the
discovery of the miRNA, it became clear that various carcinomas have specific miRNA
expression patterns (27); however, little has
been found about miR-3129 action in GC. Our study first reported the functional
roles of miR-3129 in GC showing it was significantly up-regulated in GC tissues and
promoted the proliferation of SGC7901 cells. Moreover, overexpression of miR-3129
up-regulated the expression levels of cyclin E, CDK2, and pRb.Accumulating evidence has highlighted the aberrant expressions of miRNA and the
important regulatory roles of miRNAs in GC. For example, miR-221-3p (28), miR-421 (8
), miR-21 (27), miR-150 (20), miR-199a
(3), and miR-106b (29) have been reported to be up-regulated in GC. In addition,
miR-509-3p (30), miR-375 (31), miR-9 (7), miR-101, and miR-128 (32) are
down-regulated. In the present study, we found that miR-3129 was significantly
up-regulated in GC tissues for the first time, implying it might be related to the
progression of GC.Tumor cells are characterized by accelerated proliferation and uncontrolled growth.
Many studies demonstrated that some miRNAs such as miR-199a (3), miR-27b (32), and
miR-150 (20) could regulate tumor cells
proliferation. However, to our knowledge, few studies have reported the association
between miR-3129 and GC. In our study, we found that overexpression of miR-3129 in
SGC7901 cells could efficiently promote cell viability, suggesting that it might act
as an oncogene that could regulate the cell proliferation of GC cells.At present, many studies have illustrated the inhibition of tumor cell proliferation
by arresting cells at different phases, which may provide therapeutic benefit
against the tumorigenesis (22). Xiong et al.
(33) demonstrated that the
down-regulation of miR-214 could induce G1 cell cycle arrest in GC. Furthermore,
Zhao et al. found that miR-638 overexpression and Sp2-siRNA markedly suppressed cell
proliferation with decreasing expression of cyclin D1 and induced G1 phase cell
cycle arrest in vitro (34).
Our data also suggested that miR-3129 could promote GC cells proliferation by
arresting more cells at S phase.Research on pRb shows that it plays a fundamental role in cell cycle mechanisms
(35). pRb is obtained when the Rb is
phosphorylated by CDKs (36), then it is able
to release E2F. E2F is a transcription factor, which could promote the transcription
of cyclin E and CDK protein and enhance the rate of cells in S phase (37). That is, the completion of the cell cycle
requires the assistance of CDKs and cyclin E. In GC, studies have shown that miRNAs
could regulate cell cycle via modulating CDKs, cyclin E, and pRb thereby driving
cell proliferation (38). Our study was
consistent with previous studies showing that miR-3129 could positively regulate the
levels of pRb, cyclin E, and CDK2. Thus, we further explored whether miR-3129
possessed its role through regulation of pRb. Interestingly, we found that pRb
silencing abolished the effect of miR-3129 inhibitor on cell proliferation in
SGC7901 cells, implying that pRb mediated the role of miR-3129 in SGC7901 cells.
However, further investigations need to discover the underlying mechanisms of the
novel therapeutic strategies.In summary, these results provide new evidence confirming that miR-3129 functioned as
an oncogene in GC. miR-3129 promoted GC cell proliferation and cell cycle
progression by positively modulating the expression of pRb. miR-3129 might be a
candidate predictor or an anticancer therapeutic target for GC patients.
Authors: Stephanie L Schmit; Jeremy Gollub; Michael H Shapero; Shu-Chen Huang; Hedy S Rennert; Andrea Finn; Gad Rennert; Stephen B Gruber Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-10-23 Impact factor: 4.254
Authors: Natalia Zaldua; Francisco Llavero; Alain Artaso; Patricia Gálvez; Hadriano M Lacerda; Luis A Parada; José L Zugaza Journal: FEBS J Date: 2016-01-04 Impact factor: 5.542