Literature DB >> 34335955

Silencing of METTL3 effectively hinders invasion and metastasis of prostate cancer cells.

Yabing Chen1,2, Chun Pan1,2, Xiaotong Wang3, Dihui Xu1,2, Yuhan Ma1,2, Jianhang Hu1,2, Peilin Chen1,2, Zou Xiang4, Qiu Rao3, Xiaodong Han1,2.   

Abstract

Background: Since primary prostate cancer (PCa) can advance to the life-threatening metastatic PCa, exploring the molecular mechanisms underlying PCa metastasis is crucial for developing the novel targeted preventive strategies for decreasing the mortality of PCa. RNA N6-methyladenosine (m6A) is an emerging regulatory mechanism for gene expression and its specific roles in PCa progression remains elusive.
Methods: Western blotting, quantitative real-time PCR and immunohistochemical analyses were used to detect target gene expression in PCa cells in vitro and prostate tissues from patients. RNA immunoprecipitation was conducted to analyze the specific binding of mRNA to the target protein. Migration and invasion assays were used to assess the migratory capacities of cancer cells. The correlation between target gene expression and survival rate of PCa patients was analyzed based the TCGA database.
Results: We found that total RNA N6-methyladenosine (m6A) modification levels were markedly upregulated in human PCa tissues due to increased expression of methyltransferase like 3 (METTL3). Further studies revealed that the migratory and invasive capacities of PCa cells were markedly suppressed upon METTL3 knockdown. Mechanistically, METTL3 mediates m6A modification of USP4 mRNA at A2696, and m6A reader protein YTHDF2 binds to and induces degradation of USP4 mRNA by recruiting RNA-binding protein HNRNPD to the mRNA. Decrease of USP4 fails to remove the ubiquitin group from ELAVL1 protein, resulting in a reduction of ELAVL1 protein. Lastly, downregulation of ELAVL1 in turn increases ARHGDIA expression, promoting migration and invasion of PCa cells. Conclusions: Our findings highlight the role of METTL3 in modulating invasion and metastasis of PCa cells, providing insight into promising therapeutic strategies for hindering PCa progressing to deadly metastases. © The author(s).

Entities:  

Keywords:  METTL3; m6A; metastasis; prostate cancer; therapeutic strategies

Year:  2021        PMID: 34335955      PMCID: PMC8315076          DOI: 10.7150/thno.61178

Source DB:  PubMed          Journal:  Theranostics        ISSN: 1838-7640            Impact factor:   11.556


Introduction

Prostate cancer (PCa) is the most frequently diagnosed cancer and the second leading cause of cancer-related death among males 1, 2. Given the importance of androgen receptor in prostate carcinogenesis, those patients with low-grade localized tumors are sensitive to androgen-deprivation therapies and are generally curable by surgery, chemotherapy and radiotherapy 3. However, once primary PCa advances to a deadly metastatic PCa and acquire resistance to androgen-deprivation therapies, the 5-year survival for patients drop to 30% 4, 5. Thus, hindering PCa metastasis can improve the prognoses of patients. Considering cancer metastasis is a highly complex process facilitated by a series of key events, and thus understanding the underlying molecular mechanism associated with these events will be beneficial to clinical management 2, 6, 7. Moreover, identifying and targeting those vital genes involved in PCa metastasis will be essential for developing future therapeutic strategies to control PCa metastatic spread. N6-methyladenosine (m6A), the most abundant internal modification in eukaryotic mRNA, mediates gene expression by regulating RNA stability, subcellular localization, translation efficiency, and alternative splicing 8, 9. m6A modification is usually embedded within the consensus motif DRACH (D = A, G, U; R = A, G; H= A, C, U) and usually happens around stop codons 9. Moreover, m6A modification is a dynamic and reversible process, during which the methyltransferase complex consisting of methyltransferase-like 3 (METTL3) and METTL14 catalyze m6A modification; however, alkB homolog 5 (ALKBH5) and fat mass and obesity-associated protein (FTO) reverse the m6A modifications 9. Moreover, the prerequisite for m6A exerting its effects is recruiting m6A-binding proteins to m6A sites, among of which YTHDF2 binds to and induce degradation of m6A-modified mRNAs by recruiting some RNA-binding proteins to the mRNAs 10, 11. Recently, growing evidences have supported that m6A modification regulates tumor progression including gastric cancer 12, endometrial cancer 13, liver cancer 14, and lung cancer 15. Thus, we wonder whether m6A also plays a key role in modulating PCa progression. In the present study, we observe that METTL3 is upregulated in human androgen-independent PC3 and DU145 cells as well as androgen-sensitive LNCaP cells, accompanied by increased cellular m6A levels. We also find that testosterone effectively induces METTL3 expression and m6A modification in LNCaP cells but not PC3 and DU145 cells. Further studies demonstrate that m6A facilitates PCa metastasis by modulating ARHGDIA expression via the METTL3-USP4-ELAVL1 cascade.

Materials and Methods

Main reagents and cell culture

RPMI 1640 medium, fetal bovine serum (FBS), and penicillin-streptomycin were purchased from Gibco (Grand Island, NY). The protein synthesis inhibitor cycloheximide (HY-12320), proteasome inhibitor MG132 (HY-13259), DNA transcription inhibitor actinomycin D (HY-17559), and Bobcat339 (HY-111558A) were obtained from Medchemexpress (Monmouth Junction, NJ). The detailed information about antibodies used in this study was shown in . PC3, DU145, and LNCaP cells were obtained from ATCC, and were cultured in RPMI 1640 medium supplemented with 10% FBS and 1% penicillin-streptomycin.

Quantitative real-time PCR (qRT-PCR) and RNA stability analyses

RNA was isolated using Trizol reagent (15596018) (Invitrogen, Carlsbad, CA) following the manufacturer's instructions, and cDNA was generated with iScript cDNA Synthesis Kit (170-8890) (BioRad, Hercules, CA). The qRT-PCR assay was performed using ChamQ SYBR Master Mix (Q311-02) (Vazyme, Nanjing, China) on ViiA 7 Q-PCR System (Applied Biosystems, Waltham, MA). All primers used in the present study were listed in , and GAPDH was used as an internal control to measure the relative mRNA levels of targeted genes. RNA stability assay were performed as described previously 16.

Western blotting and coimmunoprecipitation (Co-IP) analyses

Total protein lysates were isolated with RIPA buffer (P0013C) (Beyotime, Shanghai, China), and the concentration of protein was determined with BCA Protein Quantification Kit (Vazyme, E112). Western blotting was performed as described previously 16, and the intensity of the western blotting bands was quantified using Image J software. Furthermore, GAPDH was chosen as marker protein in this study. For protein stability assay, cells were treated with cycloheximide at 100 μg/mL for indicated times, after which protein levels were determined by western blotting. Moreover, Co-IP was performed as described previously 14.

m6A RIP-qRT-PCR analyses and measurement of cellular m6A levels

To assess the m6A modification levels of USP4 mRNA, m6A RIP was performed using Magna MeRIPTM m6A kit (17-10499) (Millipore Sigma, Billerica, MA) according to manufacturer's instructions with a slight modification. Briefly, the isolated RNAs were fragmented with RNA fragmentation buffer. After saving one tenth of the total RNA as input, the remaining RNAs were immunoprecipitated with m6A antibody-conjugated magnetic beads. m6A-modified RNAs were washed with immunoprecipitation buffer for three times and then eluted with elution buffer. Total RNAs from elution buffer were recovered with Trizol reagent and then subjected to qRT-PCR assays. The specific primer information about USP4 was listed in . The relative m6A modification levels of USP4 at different m6A modification sites were normalized to input. Moreover, EpiQuik m6A RNA Methylation Quantification Kit (P-9005-96) (Epigentek, Farmingdale, NY) was chosen to measure total cellular m6A modification levels according to manufacturer's instructions.

RNA-immunoprecipitation (RIP)-qRT-PCR analyses

RIP analyses were performed as previously established protocols 16. Briefly, cells were firstly lysed with RIP lysis buffer containing protease and RNase inhibitor, after which cell lysate supernatant was incubated with magnetic beads coated with antibodies against rabbit immunoglobulin G, YTHDF2, HNRNPD, or ELAVL1 overnight at 4 °C. The beads were then washed with IP buffer for three times, followed by being treated with proteinase K (Millipore Sigma, 107393) at 65 °C for 0.5 h. Total RNA from the supernatant was recovered with Trizol reagent. The association between USP4 transcript and target proteins were measured by qRT-PCR assay, and the data were normalized to input. Specific primer information was listed in .

Human PCa tissue specimens

In this study, a total of 25 pairs of PCa tissues and adjacent normal tissues were collected from department of pathology at Jinling hospital (Nanjing, China) with appropriate informed consent from patients. Clinical information about these patients was provided in .

Immunohistochemical analyses

The human and mouse sections need to be dewaxed and rehydrated, followed by antigen retrieval using 10 mM citrate buffer. After being treated with 3% H2O2, the sections were immersed with primary antibodies overnight at 4 °C and then incubated with HRP-conjugated secondary antibody for 1 h at room temperature. The immune complexes were examined using the diaminobenzidine (G1212-200T) (Servicebio, Wuhan, China) according to manufacturer's instructions. The Image-Pro Plus software (Media Cybernetics, MD) was chosen to quantify the protein levels by calculating the integrated optical density per stained area (IOD/area).

Migration and invasion assays

PC3, DU145, and LNCaP cells were plated onto 24-well transwell chambers with polycarbonate membranes (353097) (Corning Life Science, Acton, MA) to assess cell migration and invasion capacities with or without Matrigel (Corning Life Science, 354234). The outer chamber was filled with the complete medium and the upper chamber was seeded with cells at a density of 5 × 105 cells/well in serum-free medium. After being cultured for 12 h, cells adhering to the underside of the chamber were fixed with 4% paraformaldehyde for 5 min, and then incubated with 100% methanol for 20 min. Finally, migrating cells on the lower surface of the membrane were stained with crystal violet for 15 min, and the cells were counted under an optical microscope.

Plasmid construction and transfection

Lentiviral vectors expressing METTL3-specific, ELAVL1-specific, or USP4-specific shRNA were constructed by OBiO (Shanghai, China). The target sequences of shRNA are as following: sh-METTL3#1: 5'-CTGCAAGTATGTTCACTATGA-3'; sh-METTL3#2: 5'-CGTCAGTATCTTGGGCAAGTT-3'; sh-ELAVL1: 5'-GAGAACGAATTTGATCGTCAACT-3'; sh-USP4: 5'-GCCCAGAATGTGCTAAGGTTTCT-3'; sh-control: TTCTCCGAACGTGTCACGT. The METTL3 expression plasmid was purchased from GENECHEM (Shanghai, China). HA-Ubiquitin plasmid was obtained from Addgene (18712) (Watertown, MA). The full-length human ARHGDIA cDNA was cloned into the pcDNA3.1 vector (VT1001) (YouBio, Changsha, China) to generate expression plasmid. The USP4 expression plasmid was generated by cloning the full-length USP4 cDNA into pcDNA3.1 vector with HA tag (YouBio, VT8001). Wild-type or mutated USP4-CDS sequence (2600 ~ 2900) was cloned into pmirGLO luciferase vector (YouBio, VT1439). For sgMETTL3 expressing cells, the target sequences (5'-AGAGTCCAGCTGCTTCTTGT-3') were cloned into pLentiCRISPR v2 17. PCa cells were transfected with indicated plasmids. After 48 h of transfection, PC3, DU145, and LNCaP cells were selected with puromycin at 6 μg/ml, 2 μg/ml, and 2 μg/ml, respectively. For the METTL3 rescue experiment, the METTL3 expression plasmid was transfected into those PCa cells with METTL3 knockout.

Methylation-specific PCR

DNA from RWPE-1 cells, PC3 cells, DU145 cells, and LNCaP cells were extracted using DNA extraction kit (DP304) (TIANGEN, Beijing, China). The sodium bisulfite DNA treatments were conducted using a DNA bisulfite conversion kit (TIANGEN, DP215) according to the manufacturer's instructions. PCR amplifications were performed using Phanta® UC Super-Fidelity DNA Polymerase (Vazyme, P507-01) according to the manufacturer's instructions. The PCR primers for methylation-specific PCR were listed in .

Luciferase reporter assay

Cells seeded in 12-well plates were transfected with the pmirGLO luciferase reporter vector fused with or without the wild-type or mutated USP4-CDS. The firefly luciferase and Renilla luciferase activity in each well were measured by a dual-luciferase reporter assay system (E1910) (Promega, Madison, WI) and the relative luciferase activity was further normalized to Renilla luciferase activity.

Animal experiments

Male BALB/c nude mice and male SCID mice aged 4-5 weeks were purchased from the Model Animal Research Center of Nanjing University, Nanjing, China and were maintained in a pathogen-free animal facility at least 1 week before use. A total of 1 × 106 PC3 cells or DU145 cells suspended in a mixture of 100 μL PBS and Matrigel were subcutaneously injected into BALB/c nude mice. Tumor weight were measured 2 months after the engraftment. To evaluate the role of METTL3 in tumor metastasis, PC3 cells with or without knockdown of METTL3 were injected into SCID mice through the tail vein (1 × 106 cells per mouse). After eight weeks, mice were sacrificed and their lung tissues were collected for subsequent analyses. The whole experiments on mice were approved by the Animal Care and Use Committee of Nanjing University under the animal protocol number SYXK (Su) 2009-0017.

Flow cytometric analyses

Cell cycle distribution was determined by flow cytometric analyses to investigate whether METTL3 knockdown affect the proliferation of PCa cells. Briefly, PC3 cells were incubated with 500 μl PI (550825) (BD Pharmingen, San Jose, CA) for 30 min, after which cellular PI absorbance was measured by a FACSCalibur flow cytometer (BD Biosciences, San Jose, CA).

Statistical analyses

The data were analyzed for statistical significance with SPSS 18.0 (SPSS, Chicago, IL). All statistical tests were two-sided, and p < 0.05 was considered statistically significant. Differences between groups were tested by One-way analysis of variance (ANOVA) followed by Duncan's post hoc test. Data violated the assumption of homogeneity of variances, an alternative Welch's ANOVA with Dunnett's T3 test was carried out.

Results

PCa is associated with upregulated METTL3 expression

In this study, we measured an increase of m6A levels in human androgen-independent PC3 and DU145 PCa cells as well as androgen-sensitive LNCaP cells in comparison to RWPE-1 cells, a normal adult epithelial prostate cell line (Figure -C). We next examined upregulated expression of METTL3 in PCa cells, and no significant changes about METTL14, FTO, and ALKBH5 were observed (Figure -E). Moreover, in three PCa cell lines, relatively lower METTL3 and m6A levels were examined in androgen-sensitive LNCaP cells (Figure -E). It is the nuclear but not cytoplasmic-localized METTL3 mediates m6A deposition on nuclear RNA 9. As predicted, we examined marked enrichment of METTL3 but not METTL14, FTO, and ALKBH5 in the nuclei of PCa cells relative to RWPE-1 cells (. Additionally, we found that METTL3 mRNA levels were increased in primary prostate tumor and metastatic tumor tissues in comparison to normal prostate tissues (Figure -I) by analyzing several publicly available Genomic Spatial Event (GSE) databases 18-20. Through analyzing The Cancer Genome Atlas (TCGA) dataset (http://ualcan.path.uab.edu/ index.html) 21, we further confirmed that METTL3 mRNA levels were significantly increased in PCa tissues (Figure . Survival curve analyses (gepia.cancer-pku.cn) revealed patients with higher METTL3 mRNA levels exhibited much shorter relapse-free survival rate (Figure 22; however, no significant correlation between METTL14, FTO, or ALKBH5 expression and survival rate was observed (Figure -N). Moreover, we observed upregulated m6A levels in human PCa tissues relative to normal tissues, accompanied by a significant increase of METTL3 protein levels (Figure -R); however, no remarkable changes about METTL14, ALKBH5, and FTO were observed (.

METTL3 is required for invasion and migration of PCa cells

In this study, we established stable METTL3-knockdown PCa cells with two independent shRNA sequences (sh-METTL3#1 and sh-METTL3#2) (Figure -B and -B). As predicted, knockdown of METTL3 significantly reduced m6A modification levels in PCa cells (Figure . Considering that sh-METTL3#1 exhibited higher efficiency than sh-METTL3#2 in reducing METTL3 protein levels, and thus we chosen sh-METTL3#1 for further analyses. Moreover, we observed that METTL3 knockdown did not affect FTO, ALKBH5, and METTL4 levels in PCa cells (-E). We next found that METTL3 knockdown markedly inhibited migration and invasion of PC3 [42.2 ±10.89 vs. 82.6 ± 10.69 for migration assay, 25.2 ± 6.05 vs. 67.0 ± 7.97 for invasion assay], DU145 [26.20 ± 4.50 vs. 73.2 ± 3.54 for migration assay, 17.4 ± 5.31 vs. 53.0 ± 9.76 for invasion assay], and LNCaP cells [15.6 ± 2.96 vs. 33.6 ± 6.83 for migration assay, 12.2 ± 3.49 vs. 35.8 ± 5.71 for invasion assay] (Figure -F and -G). Consistedly, phalloidin-staining assay revealled that lamellipodia were formed depending on METTL3 expression in PCa cells (Figure . Moreover, we observed that METTL3 overexpression brought about increased m6A modification levels (Figure -I and -J), and concurrent enhanced migratory and invasive capacities in PC3 [98.2 ± 12.12 vs. 55.6 ± 10.23 for migration assay, 99.2 ± 14.52 vs. 56.6 ± 6.28 for invasion assay], DU145 [133.6 ± 10.89 vs. 69.4 ± 8.71 for migration assay, 104.6 ± 14.22 vs. 54.6 ± 6.97 for invasion assay], and LNCaP cells [44.2 ± 5.08 vs. 31.2 ± 6.24 for migration assay, 38.6 ± 4.54 vs. 28.8 ± 6.43 for invasion assay] (Figure -L and -L). To further confirm the role of METTL3 in mediating the PCa metastasis, we transfected the METTL3 expression plasmid into those PCs cells with knockout of METTL3, and we found that METTL3 overexpression effectively rescue the METTL3 deficiency-induced suppressed migratory and invasive capacities of PCa cells (. In this study, we found that testosterone robustly induced METTL3 expression and upregulation of cellular m6A levels in androgen-sensitive LNCaP cells but not androgen-independent PC3 and DU145 cells (. Moreover, we identified that testosterone markedly upregulated migratory and invasive abilities of LNCaP but not PC3 and DU145 cells (-H).

ARHGDIA is an METTL3 downstream effector for PCa metastasis

We assessed the effects of METTL3 knockdown on the expression of invasion- and migration-related proteins, including Rho GDP dissociation inhibitor α (ARHGDIA), Rho GDP dissociation inhibitor β (ARHGDIB), ras-related C3 botulinum toxin substrate 1, 2, 3 (RAC1,2,3), matrix metalloproteinase-9 (MMP-9), and ras homolog gene family, member A (RHOA) 23-27. The results desmontrated that METTL3 knockdown markedly reduced expression of ARHGDIA (Figure . Moreover, METTL3 knockdown did not affect expression of epithelial-mesenchymal transcition (EMT)-related genes, including E-cadherin, vimentin, Zinc finger E-box binding homeobox 1 (ZEB1), and ZEB2 (Figure . We found that ARHGDIA protein levels were increased in human PCa tissues relative to adjacent normal tissues (Figure -D). Additionally, ARHGDIA mRNA levels were also markedly upregulated in PCa tissues (Figure -G). Survival curve analyses revealed PCa patients with higher ARHGDIA expression exhibited much shorter relapse-free survival (Figure . To further verify the biological contribution of ARHGDIA in METTL3-mediating invasion of PCa cells, the constructs that express ARHGDIA were stably transfected into PCa cells (Figure -J). We observed that ectopic expression of ARHGDIA effectively reversed METTL3 knockdown-induced reduced migrative and invasive capacities in PC3 and DU145 cells (Figure -N).

METTL3 stabilizes ARHGDIA mRNA by regulating ELAVL1 expression

We found that ARHGDIA mRNA levesl were markedly reduced in response to METTL3 knockdown (Figure . Moreover, comparable ARHGDIA promoter transcriptional activity between METTL3 knockdown cells and control cells were examined, excluding the possibility that METTL3 downregulation inhibited ARHGDIA transcription (Figure . We then investigated the possibility that METTL3 knockdown impaired the stability of ARHGDIA mRNA. As expected, we observed elevated decay rates of ARHGDIA mRNA upon the knock down of METTL3 (Figure . To determine the upstream regulators mediating ARHGDIA mRNA stabilization by METTL3, we examined expression of hetergeneous nuclear ribonucleoprotein D (HNRNPD), ELAV like RNA-binding protein 1 (ELAV1), and nucleolin (NCL), which were identified to bind to mRNA and regulated mRNA stability. The results showed that ELAVL1 was upregulated in PCa cells after knock down of METTL3 (Figure -E and -E). Accordingly, we determined reduced ELAVL1 expression in human PCa tissues compared to normal prostate tissues (Figure -G). It was noted that no significant correlation of ELAVL1 mRNA levels with survival of PCa patients were observed (Figure . We observed that ELAVL1 knockdown markedly increased ARHGDIA expression and promoted migration and invasion of PCa cells (Figure -K and -H). Additionally, the knockdown of ELAVL1 effectively attenuated METTL3 knockdwon-induced ARHGDIA reduction and concurrent imparied invasion ability (Figure -O and -L). Consistently, ELAVL1 knockdown markedly slowed down the decay rates of ARHGDIA mRNA (Figure . As expected, METTL3 knockdown significantly enhanced the interaction between ELAVL1 and ARHGDIA mRNA, and the interaction was significantly inhibited upon knock down of ELAVL1 (Figure .

METTL3 induces degradation of ELAVL1 protein by reducing USP4 protein levels

In this study, we examined that METTL3 knockdown did not affect ELAVL1 mRNA levels in PCa cells (Figure , consistent with the survival analyses results that no significant association of ELAVL1 mRNA levels with survival rate of PCa patients were examined (Figure . Thus, we speculated that the increase of protein stability or enhancement of translation efficiency might upregulate ELAVL1 protein levels in PCa cells upon METTL3 knockdown. Moreover, we observed that degradation rate of ELAVL1 was markedly attenuated in PCa cells in response to METTL3 knockdown (Figure -C and -C), while no significant changes of synthesis rate of ELAVL1 was observed (Figure -E and -E). Taken together, these results lead us to believe that METTL3 might reduce ELAVL1 protein levels by inducing its degradation. To investigate whether ubiquitin-proteasome pathway participates in ELAVL1 degradation, we firstly assessed the effect of METTL3 knockdown on ubiquitination levels of ELAVL1. We found that knocking down METTL3 remarkably reduced the ubiquitination level of ELAVL1 (Figure . Given that protein deubiquitination is regulated by deubiquitinating enzymes (DUBs) and ubiquitin-specific protease (USP) family is the largest family of DUBs 28, 29, we then compared the mRNA levels of a total of 42 USP members by analyzing the TCGA data (. We found that USP4, USP8, USP11, USP25 and UPS28 mRNA levels were markedly decreased in PCa tissues in comparion to normal prostate tissues, while USP3, USP7, USP22 and USP40 mRNA levels were increased. Based on the fact that METTL3 knockdown decrease ubiquitination level of ELAVL1 and METTL3 protein levels were upregulated in PCa tissue, we speculate that expression of the target USP members involving ELAVL1 regulation might be decreased in PCa tissues. And thus, we chose USP4, USP8, USP11, USP25 and USP28 for further analyses, and western blotting revealled that METTL3 knockdown markedly increased USP4 protein levels (Figure -H and -H). Moreover, we determined reduced USP4 levels in human PCa tissues relative to normal prostate tissues (Figure -J). Consistently, a poorer survival rate was observed to be associated with lower USP4 mRNA levels (Figure -L). Further studies identified that the USP4 knockdown effectively attenuated METTL3 knockdown-induced ELAVL1 increase, ARHGDIA reduction, and concurrent inhibited migratory and invasive capacities of PCa cells (Figure -P and -K). Consistently, USP4 knockdown markedly reduced protein stability of ELAVL1 (Figure -R and -M). To understand the molecular mechanism accounting for the regulation of ELAVL1 by USP4, we firsty assesed the interaction beween USP4 and ELAVL1 in PCa cells. The results showed that METL3 knockdown markedly enhanced the interaction between USP4 and ELAVL1 (Figure . Additionally, the overexpression of USP4 effectively decreased the ubiquitination levels of ELAVL1 (Figure . Taken together, our results demonstrated that USP4 upregulates ELAVL1 expression by removing the ubiquitin group from ELAVL1 protein.

m6A methylation reduces USP4 protein levels by affecing USP4 mRNA stability

We next found that METTL3 knockdown significantly upregulated USP4 mRNA levels in PCa cells (Figure . Moreover, USP4 promoter transcriptional activity was not affected upon METTL3 knockdown (Figure , excluding the possibility that METTL3 downregulation inhibited USP4 transcription. By contrast, we observed that knock down of METTL3 slowed down degradation rate of USP4 mRNA (Figure . Given the key role of m6A mRNA methylation in affecting mRNA stability, it was reasonable to speculate that METTL3 knockdown reduces the m6A modification levels in USP4 mRNA and thus increase USP4 mRNA levels by atenuating the inhibitory effect of m6A modification on USP4 mRNA stability. Consistent with this hypothesis, it was knockdown of YTHDF2 but not YTHDF1 remarkably upregulated USP4 protein levels to a simlar extent as METTL3 knockdown in PCa cells (Figure -E). Furthermore, YTHDF2 enrichment at USP4 transcripts was markedly reduced in PC3 cells upon knockdown of METTL3 (Figure . We next performed sequence anlysis of USP4 transcript and found six m6A modification sites within the CDS region and one m6A site in the 3'-UTR (Figure . m6A RIP analyses demonstrated that m6A was markedly enriched at site 1, site 3, site 5, and site 6 (Figure . Moreover, m6A enrichment levels at site 6 were significantly reduced upon knockdown of METTL3 (Figure . We generated a luciferase reporter construct containing a firefly luciferase placed before the USP4-CDS (Figure , and subsequent luciferase reporter assays demonstrated that METTL3 knockdown significantly increased the reporter luciferase activity (Figure ; however, knock down of YTHDF2 but not YTHDF1 effectivelly aborted this increase (Figure -M). Additionally, we mutated the potential m6A motif AAACU to AAGCU, and METTL3 knockdown cannot upregulate the luciferase activity of the reporter bearing mutated USP4-CDS (Figure . It has been reported that HNRNPD and ELAVL1 could bind to m6A-modified transcript to regulate pre-mRNA splicing or affect mRNA stability 10, 30. In this study, we examined that METTL3 knockdown significantly decreased the binding of HNRNPD to USP4 pre-mRNA (Figure ; however, the interaction between ELAVL1 and USP4 pre-mRNA were not significantly changed (Figure . Moreover, HNRNPD deficiency significantly increased USP4 expression at mRNA and protein levels, accompanied by a increase of USP4-CDS luciferase activity (Figure -R). Taken together, these results suggested m6A methylation reduces USP4 mRNA stability by promoting the binding of HNRNPD to USP4 mRNA.

Dysregulation of MELLT3-USP4-ELAVL1-ARHGDIA regulatory axis hinders PCa metastasis

To further confirm the role of METTL3-ELAVL1-ARHGDIA regulatory axis in regulating PCa metastasis, we examined expression of downstream effector of METTL3 including USP4, ELAVL1, and ARHGDIA in those PCa cells with METTL3 overexpression. As predicted, we found that METTL3 overexpression induced ARHGDIA expression, but downregulated ELAVL1 and USP4 (. We noted that METTL3 knockdown markedly suppressed xenograft tumor formation and reduced the tumor weight (Figure -C), consistent with the cell cycle assay results demonstrating that METTL3 knockdown exerted inhibitory effects on cell proliferation of PC3 cells in vitro (. Moreover, we observed that USP4 knockdown effectively alleviated METTL3 knockdown-induced inhibited xenograft tumor growth (Figure -C). To further confirm the role of METTL3-ELAVL1- ARHGDIA regulatory axis in regulating PCa metastasis, we also examined expression of USP4, ELAVL1 and ARHGDIA in xenograft model with METTL3-deficient PCa cells. We observed reduced METTL3, m6A, and ARHGDIA levels, but increased USP4 and ELAVL1 levels in in vivo xenograft nude mice injected with those PC3 cells with METTL3 knock down (; however, the knockdown of USP4 effectivly attenuated METTL3 deficiency-induced these changes (. Moreover, METTL3 silencing dramatically suppressed lung metastatic abilities of PC3 cells, as evidenced by the number of lung metastatic nodules (Figure -F); however, the knockdown of USP4 effectively attenuated METTL3 deficiency- induced decreased lung metastatic capacity of PC3 cells (Figure -F). As expected, we observed a reducation in ARHGDIA protein levels, and USP4 and ELAVL1 increase in lung metastatic lesions of sh-METTL3 cells-injected mice, accompanied with METTL3 and m6A decrease (Figure -L), and USP4 knock down effectivelly reversed METTL3 deficiency-induced these changes.

Reduced promoter methylation is associated with increased expression of METTL3

We found that methylation levels in the METTL3 promoter were significantly reduced in PCa tissues comparted to the adjoining normal prostate tissues by analyzing the TCGA database (Figure . We next bioinformatically analyzed the potential CpG island of human METTL3 promoter, and a total of three CpG island signals were predicted in the METTL3 promoter region (Figure . Additionally, we found that the methylation levels at site 1 and site 2 were significantly reduced in PCa cells relative to the RWPE-1 cells, accompanied by increased METTL3 mRNA levels in PCa cells (Figure -F). It is noted that DNA methylation is dynamically regulated by methyl writing enzymes and methyl erasing enzymes. In this study, we examined that METTL3 mRNA and protein levels were significantly downregulated in PCa cells following exposure to Bobcat339, the inhibitor of methyl erasing enzymes (Figure -I). Accordingly, Bobcat339 effectively decreased migratroy and invasive capacitivities of PCa cells (Figure -L).

Discussion

Growing evidences have suggested that m6A modifications play important roles in mediating progression of various cancers, including hepatocellular carcinoma 31, gastric cancer 12, lung cancer 15, endometrial cancer 13, nasopharyngeal cancer 32, bladder cancer 33, and acute myeloid leukaemia 34. Moreover, METTL3 has been reported to be upregulated or downregulated in certain cancers, and its specific roles in tumorigenesis remain controversial. Recently, Lin et al. observed upregulated METTL3 levels in lung adenocarcinoma and identified that METTL3 promotes growth of lung cancer cells 15. By contrast, Liu et al. determined decreased METTL3 expression and concurrent reduction in m6A methylation levels in endometrial tumors, which in turn promotes proliferation of endometrial cancer cells 13. In this study, we determined upregulated expression of METTL3 in PCa tissues, contributing to an increase of m6A modification levels. Moreover, we observed that METTL3 knockdown did not change FTO, ALKBH5, and METTL4 levels, excluding the possibility that METTL3 silencing firstly affects expression of other m6A-modification related proteins and then reduce m6A modification levels of downstream targets. Further studies identified that reduced methylation levels at the CpG islands in promoter might be associated with enhanced METTL3 transcription in PCa cells, and to confirm which DNA methyltransferase are involved in METTL3 regulation deserves a separate study. Accordingly, some researchers have also identified that m6A modification is associated with growth and migration of PCa cells 35, 36. Cai et al. detected upregulated METTL3 levels in PCa cells, and identified that METTL3 promotes PCa growth by regulating hedgehog pathway 35. Li et al. examined increased YTHDF2 and METTL3 in PCa cells, and proposed that YTHDF2 reduces expression of the tumor suppressors via mediating degradation of the m6A-modified mRNAs to induce AKT phosphorylation and subsequent tumor progressionin PCa 37. Ma et al. found that METTL3 activated the Wnt pathway, thereafter, bringing about enhanced migratory ability of the PCa cells 36. It is notedworthy these studies are mainly concentrated on the the role of METTL3 in regulating upstream signaling pathways associated with PCa progression, and we found that METTL3 directly affect expression of migration-related key protein ARHGDIA to influence PCa migration and invasion. Based on these results, we speculate that this type of multiayed regulation of METTL3 in downstream proteins and upstream signaling pathways might effectively mediate PCa progression; however, whether the Hedgehog, Akt, and Wnt signaling pathways are involved in METTL3-mediated ARHGDIA expression deserves a separate study. Moreover, these researchers did not validate their findings simultaneously in many PCa cell lines, subcutaneous xenografts of PCa in nude mice, and clinical samples from patients diagnosed with PCa. Compared with these researchers, we also compared the differential expression of METTL3 in androgen-dependent and androgen-independent PCa cells and confirmed the effects of androgen on the METTL3 expression in androgen-dependent LNCaP cells. In this study, we examined higher METTL3 levels in PC3 and DU145 PCa cells than LNCaP cells, which may be associated with deadly metastatic capacity of androgen-independent PCa cells. Moreover, testosterone significantly induced METTL3 expression in LNCaP cells but not PC3 and DU145 cells, indicating that androgen might modulates PCa metastasis by upregulating METTL3 expression and m6A levels after binding to AR in PCa cells. EMT and migration of cancer cells are two important biological phenomenon during the tumorigenic process. In this study, we found that METTL3 knockdown did not affect expression of EMT-related genes, whereas significantly reduced migration-related ARHGDIA expression. ARHGDIA has been reported to modulate several processes during tumorigenesis, including cellular growth, cellular migration and cellular polarity. Up to date, Zhu, et al. has demonstrated that ARHGDIA upregulation inhibits growth of PCa cells, while ARHGDIA deficiency markedly promote the growth of androgen-sensitive LNCaP cells in androgen-deprived conditions 38. Yamashita, et al. observed upregulated ARHGDIA levels in lymph node metastatic PCa patients and suggested that ARHGDIA may be useful as a diagnostic biomarker for PCa metastasis 23. To sum up, the role of ARHGDIA in PCa progression remains elusive. In the present study, we observed an increase of ARHGDIA protein levels in human PCa tissues compared with the normal prostate tissues. Moreover, ectopic expression of ARHGDIA effectively attenuated the effect of METTL3 knockdown on invasive ability in PCa cells. Based on these results, we believe that METTL3 could promote PCa metastasis by promoting ARHGDIA expression. Further studies identified that METTL3 stabilited ARHGDIA mRNA by modulating expression of the mRNA binding protein ELAVL1, which in turn alleviated decay of ARHGDIA mRNA. Interestinly, it is noted that ELAVL1 can bind to and stabilize AU-rich element-mRNAs 39, and thus we speculate there are other factors involved in METTL3-mediated degradation of ARHGDIA mRNA, which deserves a follow-up study. Subsequent studies revealled that USP4 was upregulated in PCa cells upon METTL3 knockdown. Some researchers found that USP4 was markedly increased and verified to play a tumor-promoting role in liver cancer 40, 41 and colorectal cancer 42, 43. By contrast, USP4 was reported to play a tumor-suppressing role in breast cancer 44 and lung cancer 45. Interestingly, USP4 may exert completely opposite effects even in the same tumor due to its different upstream or downstream effectors 46, 47. Based on these results, we speculated that the specific roles of USP4 in modulating cancer progression are complicated and diverse, which depend on tumor types and tumor microenvironment. In this study, we provided complelling evidence to identify that METTL3 modulates PCa metastasis. Moreover, we also found that the knockdown of USP4 effectively alleviated METTL3 decifiency-induced suppressed xenograft tumor formation. These results suggested that USP4, as an downstream target of METTL3, might also regulate PCa growth, which deserves a follow-up study. By performing m6A RIP-qRT-PCR assay, we found that USP4 was the key downstream target of METTL3 in PCa progression. Subsequent studies demonstrated that m6A could decrease USP4 expression by inducing m6A-dependent decay of the USP4 transcript. Moreover, we identified that METTL3 could methylate USP4 at one m6A site within the CDS and around the stop codon, and the m6A reader protein YTHDF2 could recognize the m6A site and then recruit RNA-binding protein HNRNPD to the mRNA, resulting in degradation of USP4 mRNA.

Conclusions

Collectively, we have provided complelling evidence to identify that METTL3 promotes PCa metastasis by upregulating ARHGDIA expression (Figure 8M). These results presented here suggested that METTL3 might be a favorable predictor for PCa, and this study also provides insight into novel therapeutic strategies by inhibiting METTL3 expression for suppressing PCa metastasis.
Figure 8

Enhanced METTL3 expression is associated with reduced The methylation levels of METTL3 promoter were analyzed based on the TCGA database (*p < 0.05). B, Potential CpG islands in the human METTL3 promoter were analyzed using online MethPrimer software (http://www.urogene.org/methprimer/), and the blue shaded regions indicate the potential CpG islands. C-E, The methylation status of the USP4 promoter at different CpG islands was measured by methylation-specific PCR. Data were presented as means ± SEM (n = 5), * p < 0.05 vs. the RWPE-1 cells. F, Celluarl METTL3 mRNA levels were determined by qRT-PCR. Data were presented as means ± SEM (n = 5), * p < 0.05 vs. the RWPE-1 cells. G-L, PCa cells were treated with Bobcat339 at 50 μM for 48 h. The METTL3 mRNA levels in PCa cells were determined by qRT-PCR (G). The METTL3 protein levels in PCa cells were determined by western blotting and quantitatively analyzed (H, I). The migration and invasion abilities of indicated cells were evaluated, and representative images were shown (J-L). Data were presented as means ± SEM (n = 3), * p < 0.05 vs. the control cells. M, A model for the critical link between METTL3 and PCa metastasis is proposed. Reduced METTL3 promoter methylation increases METTL3 expression by promoting its transcription. Upregulation of METTL3 increases cellular m6A mRNA methylation levels, which downregulates USP4 expression by inducing m6A-mediated decay of the USP4 transcript. USP4 reduction leads to decreased expression of ELAVL1 by increasing ubiquitination (UB) of ELAVL1, contributing to upregulated expression of ARHGDIA by retarding ELAVL1-mediated decay of the ARHGDIA transcript.

Supplementary figures and tables. Click here for additional data file.
  46 in total

Review 1.  HuR and mRNA stability.

Authors:  C M Brennan; J A Steitz
Journal:  Cell Mol Life Sci       Date:  2001-02       Impact factor: 9.261

2.  Rho GDP-dissociation inhibitor alpha is associated with cancer metastasis in colon and prostate cancer.

Authors:  T Yamashita; T Okamura; K Nagano; S Imai; Y Abe; H Nabeshi; T Yoshikawa; Y Yoshioka; H Kamada; Y Tsutsumi; S Tsunoda
Journal:  Pharmazie       Date:  2012-03       Impact factor: 1.267

3.  Integrative genomic profiling of human prostate cancer.

Authors:  Barry S Taylor; Nikolaus Schultz; Haley Hieronymus; Anuradha Gopalan; Yonghong Xiao; Brett S Carver; Vivek K Arora; Poorvi Kaushik; Ethan Cerami; Boris Reva; Yevgeniy Antipin; Nicholas Mitsiades; Thomas Landers; Igor Dolgalev; John E Major; Manda Wilson; Nicholas D Socci; Alex E Lash; Adriana Heguy; James A Eastham; Howard I Scher; Victor E Reuter; Peter T Scardino; Chris Sander; Charles L Sawyers; William L Gerald
Journal:  Cancer Cell       Date:  2010-06-24       Impact factor: 31.743

4.  Predicting 15-year prostate cancer specific mortality after radical prostatectomy.

Authors:  Scott E Eggener; Peter T Scardino; Patrick C Walsh; Misop Han; Alan W Partin; Bruce J Trock; Zhaoyong Feng; David P Wood; James A Eastham; Ofer Yossepowitch; Danny M Rabah; Michael W Kattan; Changhong Yu; Eric A Klein; Andrew J Stephenson
Journal:  J Urol       Date:  2011-01-15       Impact factor: 7.450

5.  The m6A methyltransferase METTL3 promotes bladder cancer progression via AFF4/NF-κB/MYC signaling network.

Authors:  Maosheng Cheng; Lu Sheng; Qian Gao; Qiuchan Xiong; Haojie Zhang; Mingqing Wu; Yu Liang; Fengyu Zhu; Yingyin Zhang; Xiuhong Zhang; Quan Yuan; Yang Li
Journal:  Oncogene       Date:  2019-01-18       Impact factor: 9.867

6.  m6A Demethylase ALKBH5 Maintains Tumorigenicity of Glioblastoma Stem-like Cells by Sustaining FOXM1 Expression and Cell Proliferation Program.

Authors:  Sicong Zhang; Boxuan Simen Zhao; Aidong Zhou; Kangyu Lin; Shaoping Zheng; Zhike Lu; Yaohui Chen; Erik P Sulman; Keping Xie; Oliver Bögler; Sadhan Majumder; Chuan He; Suyun Huang
Journal:  Cancer Cell       Date:  2017-03-23       Impact factor: 31.743

7.  The ubiquitin specific protease 4 (USP4) is a new player in the Wnt signalling pathway.

Authors:  Bin Zhao; Claudia Schlesiger; Maria G Masucci; Kristina Lindsten
Journal:  J Cell Mol Med       Date:  2009-08       Impact factor: 5.295

8.  m6A-mediated ZNF750 repression facilitates nasopharyngeal carcinoma progression.

Authors:  Panpan Zhang; Qiuping He; Yuan Lei; Yingqin Li; Xin Wen; Mengzhi Hong; Jian Zhang; Xianyue Ren; Yaqin Wang; Xiaojing Yang; Qingmei He; Jun Ma; Na Liu
Journal:  Cell Death Dis       Date:  2018-12-05       Impact factor: 8.469

9.  METTL3 and ALKBH5 oppositely regulate m6A modification of TFEB mRNA, which dictates the fate of hypoxia/reoxygenation-treated cardiomyocytes.

Authors:  Huiwen Song; Xing Feng; Heng Zhang; Yunmei Luo; Juan Huang; Meihua Lin; Junfei Jin; Xue Ding; Shujing Wu; He Huang; Tian Yu; Mukun Zhang; Haiou Hong; Shihua Yao; Yongxiang Zhao; Zhiyong Zhang
Journal:  Autophagy       Date:  2019-03-17       Impact factor: 16.016

10.  RNA m6A Methyltransferase METTL3 Promotes The Growth Of Prostate Cancer By Regulating Hedgehog Pathway.

Authors:  Jiarong Cai; Fei Yang; Hailun Zhan; Jie Situ; Wenbiao Li; Yunhua Mao; Yun Luo
Journal:  Onco Targets Ther       Date:  2019-11-05       Impact factor: 4.147

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  17 in total

1.  METTL3 facilitates multiple myeloma tumorigenesis by enhancing YY1 stability and pri-microRNA-27 maturation in m6A-dependent manner.

Authors:  Feifei Che; Xuemei Ye; Yu Wang; Xuemei Wang; Shuyue Ma; Yawen Tan; Yan Mao; Ziyue Luo
Journal:  Cell Biol Toxicol       Date:  2022-01-17       Impact factor: 6.691

Review 2.  Crosstalk between m6A regulators and mRNA during cancer progression.

Authors:  Xiaodong Niu; Yuan Yang; Yanming Ren; Shengtao Zhou; Qing Mao; Yuan Wang
Journal:  Oncogene       Date:  2022-08-25       Impact factor: 8.756

3.  A m6Avalue predictive of prostate cancer stemness, tumor immune landscape and immunotherapy response.

Authors:  Cheng Zou; Qinju He; Yuqing Feng; Mengjie Chen; Dingxiao Zhang
Journal:  NAR Cancer       Date:  2022-03-25

4.  m6 A-mediated regulation of PBX1-GCH1 axis promotes gastric cancer proliferation and metastasis by elevating tetrahydrobiopterin levels.

Authors:  Yinan Liu; Ertao Zhai; Junting Chen; Yan Qian; Risheng Zhao; Yan Ma; Jianqiu Liu; Zhixin Huang; Shirong Cai; Jianhui Chen
Journal:  Cancer Commun (Lond)       Date:  2022-03-09

Review 5.  Current Advances in N6-Methyladenosine Methylation Modification During Bladder Cancer.

Authors:  Qiang Liu
Journal:  Front Genet       Date:  2022-01-11       Impact factor: 4.599

Review 6.  Epigenetic and Epitranscriptomic Control in Prostate Cancer.

Authors:  Judith López; Ana M Añazco-Guenkova; Óscar Monteagudo-García; Sandra Blanco
Journal:  Genes (Basel)       Date:  2022-02-18       Impact factor: 4.096

7.  METTL14 promotes prostate tumorigenesis by inhibiting THBS1 via an m6A-YTHDF2-dependent mechanism.

Authors:  Yongjie Wang; Junfei Chen; Wei-Qiang Gao; Ru Yang
Journal:  Cell Death Discov       Date:  2022-03-30

8.  Downregulation of m6 A writer complex member METTL14 in bladder urothelial carcinoma suppresses tumor aggressiveness.

Authors:  Catarina Guimarães-Teixeira; João Lobo; Vera Miranda-Gonçalves; Daniela Barros-Silva; Cláudia Martins-Lima; Sara Monteiro-Reis; José Pedro Sequeira; Isa Carneiro; Margareta P Correia; Rui Henrique; Carmen Jerónimo
Journal:  Mol Oncol       Date:  2022-03-24       Impact factor: 7.449

9.  Construction of a risk prediction model using m6A RNA methylation regulators in prostate cancer: comprehensive bioinformatic analysis and histological validation.

Authors:  Yongjun Quan; Xiaodong Zhang; Hao Ping
Journal:  Cancer Cell Int       Date:  2022-01-19       Impact factor: 5.722

10.  m6A Methyltransferase METTL3 Promotes the Progression of Primary Acral Melanoma via Mediating TXNDC5 Methylation.

Authors:  Zhanghui Yue; Meng Cao; Anlan Hong; Qian Zhang; Guoqiang Zhang; Zhibin Jin; Liang Zhao; Qiang Wang; Fang Fang; Yan Wang; Jianfang Sun
Journal:  Front Oncol       Date:  2022-01-18       Impact factor: 6.244

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