Literature DB >> 32110093

Regulation of E2F Transcription Factor 3 by microRNA-152 Modulates Gastric Cancer Invasion and Metastasis.

Liangliang Shi1,2,3, Hao Zhu1,2,3, Yonghua Shen1,2,3, Xiaotan Dou1,2,3, Huimin Guo1,2,3, Pin Wang1,2,3, Shu Zhang1,2,3, Lin Zhou1,2,3, Xiaoping Zou1,2,3.   

Abstract

BACKGROUND: The transcription factor, E2F transcription factor 3 (E2F3), has been proved to modulate metastasis in multiple human cancers. The present study was aimed to expound the function and specific mechanism of E2F3 in gastric cancer (GC) progression.
MATERIALS AND METHODS: The expression of E2F3, microRNA-152 (miR-152) and PLK1 (polo-like kinase 1) in GC cell lines was detected by quantitative RT-PCR and Western blot. The roles of E2F3 and miR-152 in GC metastasis were classified using gain-of-function and loss-of-function assays. The miRNAs directly targeting E2F3 were identified by bioinformatics analysis and luciferase reporter experiment. Chromatin immunoprecipitation was carried out to reveal the correlation between E2F3 and PLK1.
RESULTS: E2F3 expression was frequently up-regulated in GC tissues, and its high expression might imply poor prognosis. Downregulation of E2F3 restrained GC migration and invasion in vitro and in vivo. Interestingly, we proved that miR-152 was an upstream regulator of E2F3. Moreover, miR-152 reduced E2F3 expression by directly targeting its 3'-UTR, and then modulated GC metastasis via polo-like kinase 1 (PLK1) mediated protein kinase B (AKT) and extracellular signal-regulated kinase (ERK) signals.
CONCLUSION: E2F3 plays a crucial role in GC progression and the newly discovered miR-152/E2F3/PLK1 axis provides a new underlying target for therapy of metastasis in GC patients.
© 2020 Shi et al.

Entities:  

Keywords:  E2F3; PLK1; gastric cancer; metastasis; miR-152

Year:  2020        PMID: 32110093      PMCID: PMC7034297          DOI: 10.2147/CMAR.S239752

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Gastric cancer (GC) remains the third most frequent cancer and the fourth major cause of tumor-associated death around the world.1,2 The efficacy of GC treatment has been improved by early detection and targeted therapy for decades.2 However, the prognoses of GC patients with metastasis remain very poor. Hence, it is particularly vital to explore the underlying mechanisms of GC progression to improve patient outcome and survival. E2F transcription factor 3 (E2F3), as a crucial transcription factor (TF) of E2F family, is found to be implicated in adjusting apoptosis, cell cycle and proliferation.3,4 It has been widely recognized that E2F3 regulates various genes which play vital parts in signal transduction and DNA synthesis.3,4 E2F3 is commonly dysregulated in numerous cancers, and acts as an oncogenic role.4 Overexpression of E2F3 has been indicated in bladder, breast and prostate cancers.5–7 Moreover, it has been reported that E2F3 takes part in the metastasis to lung and liver in thyroid carcinosis.8 Another significant study9 showed that E2F3 deletion in tumor-associated macrophages leads to reduced pulmonary metastasis through conditional knockout approaches. Nevertheless, the specific function of E2F3 in GC metastasis is still indistinct. MicroRNAs (miRNAs) are non-coding RNAs of 18–25 nucleotides, which bind to the 3ʹ-untranslated regions (3ʹ-UTR) of target genes, leading to mRNA degradation or protein translation decrease.10,11 MiRNAs are an important manner to modulate gene expression at post-transcriptional level.10,11 What’ more, mountains of evidence proves that miRNAs are implicated in the regulation of GC progression.12–14 Therefore, we suppose that miRNAs targeting E2F3 might be a major cause of E2F3’s dysregulation in GC metastasis. Herein, it was observed that E2F3 was up-regulated in GC tissues and closely correlated with GC patients’ survival. We next demonstrated knockdown of E2F3 suppressed GC cell migration and invasion. In addition, it was proved that miR-152 modulated E2F3 expression by binding to its 3ʹ-UTR. The following results further showed the suppression of miR-152 promoted GC metastasis, while the up-regulation of miR-152 showed opposite effects. Finally, this study indicated the miR-152/E2F3 axis regulated GC progression through polo-like kinase 1 (PLK1) mediated protein kinase B (AKT) and extracellular signal-regulated kinase (ERK) pathways.

Materials and Methods

Tissue Collection and Cell Culture

We collected GC tissues from GC patients who had undergone operation at Nanjing Drum Tower Hospital, China. The clinicopathologic characteristics of these patients are described in . The present research was ratified by Ethics Committee of Nanjing Drum Tower Hospital, and all patient signed the informed consent. HEK293T cell (originally purchased from ATCC) was cultured in Dulbecco’s modified Eagle’s medium (Thermo Scientific HyClone, Beijing, China). MKN28M, MKN28NM, GC9811-P and GC9811 cell lines were obtained from the State Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, and cultured with RPMI-1640 medium (HyClone). The use of all the cell lines was approved by Ethics Committee of Nanjing Drum Tower Hospital.

RNA Extraction and Quantitative Real-Time PCR

RNA extraction was conducted using Trizol reagent (Invitrogen). Quantitative real-time PCR (qRT-PCR) was performed as previously described.15 The reverse transcription (RT) and PCR (polymerase chain reaction) primers for U6 and miR-152 were synthesized in RiBoBio (Guangzhou, China). As shown in , PCR primers for E2F3, GAPDH (glyceraldehyde 3-phosphate dehydrogenase) and PLK1 were listed.

Western Blot

Western blot was carried out as shown before.16 Anti-E2F3 (Abcam), β-actin (Sigma, St Louis, MO, USA), anti-PLK1 (Invitrogen), anti-ERK1/2 (Abcam), anti-p-ERK1/2 (Abcam), anti-AKT (Cell Signaling) and anti-p-AKT (Cell Signaling) were used as primary antibodies, respectively.

Bioinformatic Analyses

Data on E2F3 expression in GC were collected from Oncomine (). GC survival data were obtained from Kaplan Meier plotter (). Two efficient computational approaches were used for the prediction of the regulatory miRNAs that target E2F3, including TargetScan () and Pictar (). Targets were selected for further confirmation from the group of miRNAs that were common to the results generated from both approaches.

Lentivirus Infection and Oligonucleotide Transfection

MiR-152 mimics and inhibitors, and negative control (NC) oligonucleotides were obtained from RiboBio. E2F3 siRNAs and plasmids, and NC were purchased from Genechem (Shanghai, China). Cell transfection was performed with lipofectamine 2000 reagent (Invitrogen), following the manufacturer’s manual.

Migration and Invasion Assays

The migration and invasion assays were performed as previously described.15 The Boyden chambers were obtained from Corning (MA, USA).

In vivo Metastasis Assays

The animal experiments were conducted as previously described using GC9811-P cells infected with miR-152 or E2F3 siRNA lentivirus and NC.15 The animal assays were approved by the Nanjing Drum Tower Hospital Animal Care Committee, and all animal studies complied with Nanjing Drum Tower Hospital animal use guidelines.

Luciferase Reporter Assays

The luciferase assays were carried out as previously described.15,17 Plasmids containing wild-type Luc-E2F3, mutant Luc-E2F3-ß3′-UTR, wild-type PLK1 promoter and mutant PLK1 promoter were obtained from GeneCopoeia (Rockville, MD, USA).

Chromatin Immunoprecipitation (CHIP) Assays

CHIP assays were performed as previously described using an anti-E2F3 antibody.17 The non-specific antibody (rabbit anti-IgG; BD Biosciences) was used as a negative control. The precipitated DNAs were subjected to PCR in an attempt to amplify the E2F3-binding sites using primers that are specific for PLK1.

Statistical Analysis

For statistical analyses, SPSS 22.0 software (Chicago, IL, USA) was used. The Student’s unpaired t-test was applied for comparison between 2 groups. The correlation of E2F3 and miR-152 in GC tissues was examined applying the Spearman correlation test. P<0.05 was considered statistically significant.

Results

Up-Regulated E2F3 Expression Is Related with Progression and Poor Prognosis in GC

We extracted data of Kaplan Meier plotter and Oncomine to elucidate the expression and clinical value of E2F3 in GC. The results of 4 independent cohorts indicated that E2F3 was more frequently expressed in GC than normal gastric samples (Figure 1A). In addition, data from two cohorts including 876 and 641 GC individuals showed patients with higher expression of E2F3 exhibited decreased overall survival and progression-free survival (Figure 1B). In consequence, these investigations prove E2F3 expression is a crucial predictor of GC prognosis.
Figure 1

E2F3 is up-regulated in GC and associated with tumor metastasis. (A) The comparison of E2F3 expression between cancerous and normal gastric tissues from Oncomine. Nor, normal gastric tissues; GC, gastric cancer. (B) The association of E2F3 with overall survival and progression-free survival in GC from Kaplan Meier plotter. (C) The expression level of E2F3 mRNA in two pairs of low and high metastatic GC cell lines was measured using qRT-PCR. GAPDH was used as an internal control and the fold change was calculated by 2−ΔΔCt. (D) The expression of E2F3 in two pairs of GC cell lines was examined through Western blot analysis. β-actin was used as an internal control. *P<0.05.

E2F3 is up-regulated in GC and associated with tumor metastasis. (A) The comparison of E2F3 expression between cancerous and normal gastric tissues from Oncomine. Nor, normal gastric tissues; GC, gastric cancer. (B) The association of E2F3 with overall survival and progression-free survival in GC from Kaplan Meier plotter. (C) The expression level of E2F3 mRNA in two pairs of low and high metastatic GC cell lines was measured using qRT-PCR. GAPDH was used as an internal control and the fold change was calculated by 2−ΔΔCt. (D) The expression of E2F3 in two pairs of GC cell lines was examined through Western blot analysis. β-actin was used as an internal control. *P<0.05. In order to classify E2F3’s function in GC metastasis, qRT-PCR and Western blot assays were conducted to examine E2F3 expression in GC9811-P, GC9811, MKN28M and MKN28NM, which are two pair of high and low invasive cell sublines characterised previously.18,19 Results indicated E2F3 expression was significantly down-regulated in GC9811 and MKN28NM compared with their counterparts (Figure 1C and D). Collectively, it can be suggestive that up-regulated E2F3 is notably associated with raised GC oncogenesis.

Up-Regulation of E2F3 Promotes GC Invasion and Metastasis

Next, we observed whether up-regulation of E2F3 promotes GC migration and invasion. For this purpose, GC9811-P cells were transfected with lentiviral containing E2F3 siRNA (Figure 2A). Transwell experiments showed that E2F3 knockdown markedly repressed the cell migration and invasion (Figure 2C). On the contrary, up-regulation of E2F3 facilitated GC cell migration and invasion (Figure 2B and D). In vivo metastasis experiments demonstrated that the silencing of E2F3 expression suppressed GC metastasis (Figure 2E). Thus, the above observations reveal that E2F3 serves as a carcinogenic role in the metastasis of GC.
Figure 2

Down-regulation of E2F3 inhibits GC cell invasion and metastasis. (A) Western blot analysis of E2F3 expression in GC9811-P cells infected with E2F3 siRNA or negative control (NC). (B) Western blot analysis of E2F3 in GC9811 cells transfected with the E2F3 plasmid or vector control. (C) Transwell migration and invasion assays of GC9811-P cells infected with E2F3 siRNA or NC. Representative images are shown on the left, and the quantification of 10 randomly selected fields is shown on the right. (D) Transwell migration and invasion assays of GC9811 cells transfected with E2F3 plasmid or vector control. (E) Representative H&E staining of lung tissue isolated from mice injected with GC9811-P-NC or GC9811-P-E2F3 siRNA cells (left). The incidence of metastasis in mice receiving intravenous tail injections of each cell line is shown in the table (right). *P<0.05. **P<0.01.

Down-regulation of E2F3 inhibits GC cell invasion and metastasis. (A) Western blot analysis of E2F3 expression in GC9811-P cells infected with E2F3 siRNA or negative control (NC). (B) Western blot analysis of E2F3 in GC9811 cells transfected with the E2F3 plasmid or vector control. (C) Transwell migration and invasion assays of GC9811-P cells infected with E2F3 siRNA or NC. Representative images are shown on the left, and the quantification of 10 randomly selected fields is shown on the right. (D) Transwell migration and invasion assays of GC9811 cells transfected with E2F3 plasmid or vector control. (E) Representative H&E staining of lung tissue isolated from mice injected with GC9811-P-NC or GC9811-P-E2F3 siRNA cells (left). The incidence of metastasis in mice receiving intravenous tail injections of each cell line is shown in the table (right). *P<0.05. **P<0.01.

miR-152 Suppresses E2F3 Expression by Directly Targeting Its 3ʹ-UTR

Bioinformatic analyses were performed to search for potential miRNAs targeting E2F3. According to the two bioinformatics programs (Targetscan and Pictar), a miR-152 binding sequence was predicted in the E2F3 3ʹ-UTR. To prove whether miR-152 suppressed E2F3 by directly binding to its 3ʹ-UTR, mutant or wildtype E2F3 3ʹ-UTR binding sites were, respectively, inserted into reporter vectors, as shown in Figure 3A. The results from luciferase reporter assays demonstrated miR-152 led to a distinct reduction in luciferase activity when the wild-type E2F3 3ʹ-UTR was present, whereas the luciferase activity was not markedly altered in the mutant 3ʹ-UTR (Figure 3B). These data suggested that miR-152 could inhibit E2F3 expression via targeting its 3ʹ-UTR. Furthermore, qRT-PCR and Western blot experiments indicated miR-152 silencing significantly raised E2F3 expression in GC9811 cells, while up-regulation of miR-152 dramatically reduced E2F3 expression in GC9811-P (Figure 3C and D). Collectively, it was indicative that miR-152 inhibits E2F3 expression by directly binding to the predicted site of its 3ʹ-UTR.
Figure 3

miR-152 down-regulates E2F3 expression by binding its 3ʹ-UTR. (A) Diagram of E2F3 3ʹ-UTR-containing reporter construct. Mutations were generated at the predicted miR-152 binding site located in the E2F3 3ʹ-UTR. (B) The luciferase activity after the wild type or mutant reporter plasmids was co-transfected with miR-152 mimic or NC in HEK293T and GC9811-P cells. (C) The expression of E2F3 mRNA in GC9811-P cell after transfection with miR-152 mimic or mimic control (NC), and GC9811 cells transfected with miR-152 inhibitors or inhibitor control (NC) was analysed using qRT–PCR. GAPDH was used as an internal control. (D) The expression of E2F3 protein was analysed in GC9811-P cell after transfection with miR-152 mimic or mimic NC, and GC9811 cells transfected with miR-152 inhibitors or inhibitor NC through Western blotting. β-actin served as an internal control. (E) The expression of miR-152 in adjacent non-tumor tissues and GC tissues was examined by qRT-PCR. U6 was used as an internal control. (F) A statistically significant inverse correlation between miR-152 and E2F3 mRNA levels in GC specimens (Spearman correlation analysis, r=–0.58; P < 0.01). *P<0.05. **P<0.01. “n.s.” represents “no significance”.

miR-152 down-regulates E2F3 expression by binding its 3ʹ-UTR. (A) Diagram of E2F3 3ʹ-UTR-containing reporter construct. Mutations were generated at the predicted miR-152 binding site located in the E2F3 3ʹ-UTR. (B) The luciferase activity after the wild type or mutant reporter plasmids was co-transfected with miR-152 mimic or NC in HEK293T and GC9811-P cells. (C) The expression of E2F3 mRNA in GC9811-P cell after transfection with miR-152 mimic or mimic control (NC), and GC9811 cells transfected with miR-152 inhibitors or inhibitor control (NC) was analysed using qRT–PCR. GAPDH was used as an internal control. (D) The expression of E2F3 protein was analysed in GC9811-P cell after transfection with miR-152 mimic or mimic NC, and GC9811 cells transfected with miR-152 inhibitors or inhibitor NC through Western blotting. β-actin served as an internal control. (E) The expression of miR-152 in adjacent non-tumor tissues and GC tissues was examined by qRT-PCR. U6 was used as an internal control. (F) A statistically significant inverse correlation between miR-152 and E2F3 mRNA levels in GC specimens (Spearman correlation analysis, r=–0.58; P < 0.01). *P<0.05. **P<0.01. “n.s.” represents “no significance”. To further assess the clinical relevance of miR-152/E2F3 axis, we examined whether E2F3 expression was associated with miR-152 in GC samples. qRT-PCR experiments were performed to measure miR-152 expression in GC from 20 patients. It was found that miR-152 expression in GC samples was down-regulated, in contrast to the match non-tumor specimens (Figure 3E). The following statistical analysis suggested miR-152 expression was inversely correlated with E2F3 in GC tissues (Figure 3F).

miR-152 Is Involved in the Modulation of GC Metastasis

MiR-152 and inhibitor were, respectively, transfected into GC9811-P and GC9811 cells, to perform gain-of-function and loss-of-function tests. Transwell experiments revealed miR-152 up-regulation dramatically inhibited migration and invasion in GC9811-P cells (Figure 4A), whereas down-regulation of miR-152 enhanced migration and invasion in GC9811 cells (Figure 4B). Animal experiments further proved miR-152 up-regulation restrained GC metastasis (Figure 4C). Therefore, these investigations manifest that miR-152 plays a negative role on the GC invasion and metastasis.
Figure 4

miR-152 inhibit GC cell invasion and metastasis in vitro and in vivo. (A) Transwell migration and invasion assays using GC9811-P cells stably expressing miR-152 or negative control (NC). Representative images are shown on the left, and the quantification of 10 randomly selected fields is shown on the right. (B) Transwell migration and invasion assays using GC9811 cells transiently transfected with the miR-152 inhibitor or NC. (C) Representative H&E staining of lungs isolated from mice that received injections of GC9811-P-NC or GC9811-P-miR-152 cells (left). The incidence of metastasis in mice that receiving intravenous tail injections of each cell line is shown in the table (right). **P<0.01.

miR-152 inhibit GC cell invasion and metastasis in vitro and in vivo. (A) Transwell migration and invasion assays using GC9811-P cells stably expressing miR-152 or negative control (NC). Representative images are shown on the left, and the quantification of 10 randomly selected fields is shown on the right. (B) Transwell migration and invasion assays using GC9811 cells transiently transfected with the miR-152 inhibitor or NC. (C) Representative H&E staining of lungs isolated from mice that received injections of GC9811-P-NC or GC9811-P-miR-152 cells (left). The incidence of metastasis in mice that receiving intravenous tail injections of each cell line is shown in the table (right). **P<0.01.

miR-152/E2F3 Axis Regulates PLK1 Mediated AKT and ERK Pathways in GC Progression

Next, we inspected the downstream mechanism of miR-152/E2F3 axis in GC progression. In a previous study,5 the expression pattern after E2F3 downregulation in bladder cancer was identified using cDNA microarray. Among the differentially expressed genes, PLK1 had been proved to be implicated in tumor metastasis and act as an oncogene.5,20 The data from Oncomine and Kaplan Meier plotter indicated that PLK1 was over-expressed in GC samples and high PLK1 expression predicted inferior prognosis in GC patients (). In consequence, we speculated that E2F3 adjusted GC progression through PLK1. In order to observe whether PLK1 expression was altered after E2F3 changed, qRT-PCR and Western blot experiments were carried out. The results demonstrated that knockdown of E2F3 expression in GC9811-P cells gave rise to increased expression of PLK1 (Figure 5A and D). Subsequently, luciferase assays were carried out to determine whether E2F3 was able to directly upregulate PLK1. HEK293T cells were co-transfected with 0.5μg PLK1 reporters together with 0.5μg, 1μg or 2μg E2F3 expression vectors. It was shown that PLK1 promoter was evidently activated by E2F3 (Figure 5B). The analyses of CHIP indicated that E2F3 could specifically bind to the promoter of PLK1 in GC9811-P cells, proving that E2F3 could directly modulate PLK1 (Figure 5C).
Figure 5

miR-152/E2F3 axis regulates GC progression through PLK1 mediated AKT and ERK signaling. (A) The mRNA expression of PLK1 in GC9811-P was examined by qRT-PCR after transfection with E2F3 siRNA or negative control (NC). GAPDH was used as an internal control. (B) Relative luciferase activities were measured after co-transfection of promoter construct with increasing amounts (0.5, 1, and 2μg) of E2F3 expression plasmid. (C) CHIP assay was performed in GC9811-P cells using anti-E2F3 and normal rabbit IgG. Input of sheared chromatin was prepared prior to immunoprecipitation. (D) Western blotting of ERK1/2, AKT, their phosphorylated forms, and PLK1 in GC9811-P cells after transfection with E2F3 siRNA or miR-152 mimic. β-actin was used as an internal control. (E) A schematic representation of miR-152/E2F3 axis as a progression regulator in GC. *P<0.05. **P<0.01.

miR-152/E2F3 axis regulates GC progression through PLK1 mediated AKT and ERK signaling. (A) The mRNA expression of PLK1 in GC9811-P was examined by qRT-PCR after transfection with E2F3 siRNA or negative control (NC). GAPDH was used as an internal control. (B) Relative luciferase activities were measured after co-transfection of promoter construct with increasing amounts (0.5, 1, and 2μg) of E2F3 expression plasmid. (C) CHIP assay was performed in GC9811-P cells using anti-E2F3 and normal rabbit IgG. Input of sheared chromatin was prepared prior to immunoprecipitation. (D) Western blotting of ERK1/2, AKT, their phosphorylated forms, and PLK1 in GC9811-P cells after transfection with E2F3 siRNA or miR-152 mimic. β-actin was used as an internal control. (E) A schematic representation of miR-152/E2F3 axis as a progression regulator in GC. *P<0.05. **P<0.01. A large number of studies indicate that AKT and ERK signaling mediated by PLK1 play a crucial role in GC metastasis.20–22 Thus, we detected expression changes of primary molecules in AKT and ERK signal to next elucidate the downstream mechanism of miR-152/E2F3. Western blot assay showed that down-regulation of E2F3 or up-regulation of miR-152 notably improved PLK1 activity, and enhanced p-AKT (phospho-AKT) and p-ERK1/2 (phospho-ERK1/2) expressions (Figure 5D). Finally, these observations indicated that miR-152/E2F3 might modulate GC invasion and metastasis through accelerating PLK1 activity and subsequently enabling AKT and ERK signals (Figure 5E).

Discussion

Quite a few molecules and pathways are implicated in the process of cancer metastasis, and such complicated courses are fulfilled via modulation of metastasis-related genes by TFs, including serum response factor (SRF), nuclear factor kappa B (NF-κB), and activator protein 1 (AP1).17,23,24 However, the TF expression pattern related to GC metastasis has not been completely classified. Recent studies have shown that E2F3, a TF, contributes to tumor progression, including liver, prostate, lung and bladder cancer.5–7,25 Therefore, we are exploring the exact function and mechanism of E2F3 in GC invasion and metastasis, which is undefined as yet. As a TF, E2F3 is widely reported to be a key regulator of cell cycle, leading to cell proliferation or apoptosis.3,4 Up-regulation of E2F3 is a common oncogenic factor during human carcinogenesis.4 E2F3 is frequently overexpressed in quite a few cancers and its decrease may block tumor progression.7,26 E2F3 has been found to be implicated in thyroid cancer metastasis to lung and liver, but the specific mechanism remained undetermined.8 The results from this study indicated that E2F3 was over-expressed in GC samples, and high level of E2F3 expression might tend to poor prognosis in GC folks. Furthermore, E2F3 was also closely correlated with metastasis of GC, and E2F3 knockdown could weaken the ability of GC invasion. Over the past decade, growing evidence has proved miRNAs are closely related to human carcinogenesis, and play an oncogenetic or tumor suppressive role depending on the target genes.27 It has been distinct that miRNAs are implicated in metastasis of most tumors. miRNAs, including miR-7, miR-302c, miR-483, miR-371a-3p and miR-218, have been indicated to be involved in the GC progression.19,26,28–30 Our previous study demonstrated that miR-146a/b could markedly inhibit invasion and metastasis of GC cells.15 MiR-146a/b down-regulating UHRF1 (ubiquitin-like, containing PHD and RING finger domains 1) resulted in the activation of several tumor suppressor genes.15 Herein, miR-152 was recognized to play a significant part by directly targeting E2F3 3ʹ-UTR in GC metastasis. E2F3 accomplished its multipurpose achievements by targeting the promoter of downstream genes. Libertini et al31 have shown that E2F3 could bind to the promoter of Interleukin 6 receptor in prostate cancer. It was also found that Aurora-A was transcriptionally targeted by E2F3 in ovarian cancer.32 A previous study5 using cDNA microarray showed PLK1 may be one of the E2F3 downstream molecules, and it motivated us to pay close attention to association between E2F3 and PLK1 in GC metastasis. PLK1 is a key regulator of cell cycle,33 and highly overexpressed in various cancer cells, including gastric cancer, breast cancer, and liver, and is categorized as an oncogene.20,34–36 In the subsequent research, we aimed to classify the specific mechanism of E2F3 regulating PLK1. CHIP and luciferase assays indicated that E2F3 directly targeted PLK1 to increase its activity. Numerous studies showed that PLK1 regulates multiple signals, which are involved in tumor proliferation, metastasis and drug-resistance.37 As is demonstrated, AKT and ERK pathways are activated by PLK1, and their activation stimulated EMT (epithelial-to-mesenchymal transition) in breast and prostate cancers.12,21 Moreover, Cai et al found that PLK1 accelerated the GC metastasis and EMT through regulating the AKT pathway.38 Consistent with these reports, our data further proved that miR-152/PLK1 axis could modulate GC invasion and metastasis by enhancing PLK1 activity and subsequent acceleration of AKT and ERK signals. From the above, we come to a conclusion that high expression of E2F3 in GC progression might result from decreased level of miR-152, which could markedly promote GC invasion and metastasis. Moreover, miR-152/E2F3 link might modulate GC progression through AKT and ERK signaling mediated by PLK1. The novel identified miR-152/E2F3/PLK1 axis provides a new underlying target for early warning and therapy of metastasis in GC patients.
  38 in total

Review 1.  Current perspectives toward the identification of key players in gastric cancer microRNA dysregulation.

Authors:  Takatsugu Ishimoto; Hideo Baba; Daisuke Izumi; Hidetaka Sugihara; Junji Kurashige; Masaaki Iwatsuki; Patrick Tan
Journal:  Int J Cancer       Date:  2015-06-16       Impact factor: 7.396

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Authors:  Hao Zhang; Ahmed Diab; Huitao Fan; Saravana Kumar Kailasam Mani; Ronald Hullinger; Philippe Merle; Ourania Andrisani
Journal:  Cancer Res       Date:  2015-04-08       Impact factor: 12.701

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Authors:  Sung Baek Jeong; Ji Hye Im; Jeong-Hoon Yoon; Quyen Thu Bui; Sung Chul Lim; Joon Myong Song; Yumi Shim; Jieun Yun; Janghee Hong; Keon Wook Kang
Journal:  Mol Cancer Ther       Date:  2018-02-07       Impact factor: 6.261

4.  MicroRNA-7 functions as an anti-metastatic microRNA in gastric cancer by targeting insulin-like growth factor-1 receptor.

Authors:  X Zhao; W Dou; L He; S Liang; J Tie; C Liu; T Li; Y Lu; P Mo; Y Shi; K Wu; Y Nie; D Fan
Journal:  Oncogene       Date:  2012-05-21       Impact factor: 9.867

5.  PLK1 promotes epithelial-mesenchymal transition and metastasis of gastric carcinoma cells.

Authors:  Xiao Peng Cai; Liang Dong Chen; Hai Bin Song; Chun Xiao Zhang; Ze Wei Yuan; Zhen Xian Xiang
Journal:  Am J Transl Res       Date:  2016-10-15       Impact factor: 4.060

6.  MiR-218 inhibits invasion and metastasis of gastric cancer by targeting the Robo1 receptor.

Authors:  Jun Tie; Yanglin Pan; Lina Zhao; Kaichun Wu; Jie Liu; Shiren Sun; Xuegang Guo; Biaoluo Wang; Yi Gang; Yongguo Zhang; Quanjiang Li; Taidong Qiao; Qingchuan Zhao; Yongzhan Nie; Daiming Fan
Journal:  PLoS Genet       Date:  2010-03-12       Impact factor: 5.917

7.  Wingless modulates activator protein-1-mediated tumor invasion.

Authors:  Shiping Zhang; Xiaowei Guo; Honggui Wu; Ying Sun; Xianjue Ma; Jikai Li; Qian Xu; Chenxi Wu; Qiwen Li; Cizhong Jiang; Wenzhe Li; Margaret S Ho; Zhongwei Lv; Lei Xue
Journal:  Oncogene       Date:  2019-01-25       Impact factor: 9.867

Review 8.  From Plk1 to Plk5: functional evolution of polo-like kinases.

Authors:  Guillermo de Cárcer; Gerard Manning; Marcos Malumbres
Journal:  Cell Cycle       Date:  2011-07-15       Impact factor: 4.534

9.  Role of E2F3 expression in modulating cellular proliferation rate in human bladder and prostate cancer cells.

Authors:  A Y Olsson; A Feber; S Edwards; R Te Poele; I Giddings; S Merson; C S Cooper
Journal:  Oncogene       Date:  2006-08-14       Impact factor: 9.867

Review 10.  Targeting the RB-E2F pathway in breast cancer.

Authors:  J Johnson; B Thijssen; U McDermott; M Garnett; L F A Wessels; R Bernards
Journal:  Oncogene       Date:  2016-02-29       Impact factor: 9.867

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