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METTL3-mediated m6A mRNA modification of FBXW7 suppresses lung adenocarcinoma



FBXW7 m6A modification plays an important role in lung adenocarcinoma (LUAD) progression; however, the underlying mechanisms remain unclear.


The correlation between FBXW7 and various genes related to m6A modification was analyzed using The Cancer Genome Atlas database. The regulatory effects of METTL3 on FBXW7 mRNA m6A modification were examined in a cell model, and the underlying mechanism was determined by methylated RNA immunoprecipitation, RNA immunoprecipitation, luciferase reporter, and mutagenesis assays. In vitro experiments were performed to further explore the biological effects of METTL3-mediated FBXW7 m6A modification on LUAD development.


Decreased FBXW7 expression was accompanied by downregulated METTL3 expression in human LUAD tissues and was associated with a worse prognosis for LUAD in The Cancer Genome Atlas database. m6A was highly enriched in METTL3-mediated FBXW7 transcripts, and increased m6A modification in the coding sequence region increased its translation. Functionally, METTL3 overexpression or knockdown affected the apoptosis and proliferation phenotype of LUAD cells by regulating FBXW7 m6A modification and expression. Furthermore, FBXW7 overexpression in METTL3-depleted cells partially restored LUAD cell suppression in vitro and in vivo.


Our findings reveal that METTL3 positively regulates FBXW7 expression and confirm the tumor-suppressive role of m6A-modified FBXW7, thus providing insight into its epigenetic regulatory mechanisms in LUAD initiation and development.


With approximately 2 million new cases and 1.5 million related deaths recorded per year, lung cancer accounts for the highest percentage of cancer morbidity and mortality worldwide [1]. In recent decades, lung adenocarcinoma (LUAD) has become the primary histological subtype of non-small cell lung cancer (NSCLC), which is the major pathological type of lung cancer [2]. Despite recent improvements in diagnosis and treatment strategies, the survival rate of patients with LUAD remains low; therefore, it is vital to understand the molecular mechanisms underlying tumorigenesis to prevent the development of LUAD during the early stages.

F-box and WD repeat domain-containing 7 (FBXW7), also known as Fbw7, Sel10, hCDC4, or hAgo, is a well-established substrate recognition subunit of the SCF (SKP1–CUL1–F-box protein) E3 ubiquitin ligase complex [3]. High FBXW7 expression is independently associated with a favorable prognosis in patients with NSCLC, as it plays a negative role in NSCLC pathogenesis [4]. Accumulating studies have shown that FBXW7 dysregulation by point mutation, genomic deletion, or promoter hypermethylation leads to various cancers [5] and that Fbxw7+/− mice are more prone to radiation-induced tumorigenesis [6, 7]. FBXW7 is regulated by various pathways including tumor suppressor p53 [8], Pin1 (peptidyl-prolyl cis-trans isomerase NIMA-interacting1) [9], C/EBP-δ (CCAAT/enhancer-binding protein-δ), Hes-5 (hairy and enhancer-of-split homologs 5) [10], and microRNAs [11]. However, the m6A modifications governing FBXW7 stability and/or function in cancers and how FBXW7 expression may be modulated by m6A modification in lung cancer remain largely unknown.

Identification of cancer-related epigenetic modifications is a rapidly expanding field of study within molecular biological mechanisms, and research has indicated that RNA-targeted modifications are biologically crucial in tumorigenesis [12]. Among the more than 170 known RNA modifications, N6-methyladenosine (m6A) is the most abundant internal mRNA modification and reportedly mediates various biological processes, including tumorigenesis [13, 14]. The m6A methyltransferase complex contains several enzymes (namely METTL3, METTL14, and WTAP), which are known as “writers,” of which METTL3 (methyltransferase-like 3) is the most important because of its pivotal roles in regulating gene expression by influencing RNA stability, mRNA degradation, and translation [15, 16]. In contrast, FTO (α-ketoglutarate-dependent dioxygenase) and ALKBH5 (AlkB homolog 5, RNA demethylase) have the potential to remove m6A from mRNA by functioning as “erasers” [17, 18]. In addition, YTH family proteins, IGF2BPs, and eIF3s have been shown to act as m6A “readers” to affect mRNA stability and translation to mediate pleiotropic downstream effects [15, 19, 20]. Emerging evidence has illustrated that abnormal m6A mRNA methylation is intimately involved in the onset and progression of human cancers, including leukemia [21], brain cancer [22], breast cancer [23], liver cancer [24], and endometrial cancer [25]. Additionally, multiple m6A-regulated proteins and their target mRNAs display varying expression profiles in cancers, suggesting that m6A modification plays an oncogenic or tumor-suppressive role under different genomic backgrounds or in different tumor subtypes [26, 27]. Therefore, it is necessary to elucidate the underlying mechanism in detail to reveal the exact biological process and effects of m6A modification in tumorigenesis.

We previously confirmed that low FBXW7 expression in patients with EGFR inhibitor-resistant NSCLC is correlated with upregulated Mcl-1 expression. FBXW7 reactivation reduced Mcl-1 expression, in turn, increasing the tumor metastatic, invasive, and drug-resistant capacities of lung cancer by depredating specific substrates [28, 29]. In this study, we investigated the functions of FBXW7 and its potential associated regulators in lung cancer tumorigenesis. We found that METTL3 mediated m6A-modification of the FBXW7 mRNA coding sequence (CDS), promoting FBXW7 translation at the posttranscriptional level. Our results reveal an anticancer role and novel regulatory mechanisms for m6A-modified FBXW7 in LUAD, which may be applicable for molecular diagnosis and targeted therapy.


Ethics statement

This study was approved by the Ethics Committee of the Fourth Military Medical University. All animal experiments were carried out in strict accordance with the Guide for the Care and Use of Laboratory Animals published by the US National Institutes of Health.

Cell culture and reagents

The human LUAD cell lines HCC827 and PC9 have been fully described. All cell lines were obtained between 2016 and 2019 and validated by short tandem repeat analysis, tested for mycoplasma contamination within the last six months, and used at passage numbers of < 10. HCC827 and PC9 cells were cultured in RPMI 1640 (Corning, Inc., Corning, NY, USA).

All compounds were purchased from Selleck Chemicals (Houston, TX, USA), except for D-luciferin (Promega, Madison, WI, USA), cycloheximide (Sigma, St. Louis, MO, USA), and puromycin (Sigma), and were dissolved in dimethyl sulfoxide for cell culture.

Tumor samples and immunohistochemical (IHC) analysis

LUAD tissues and surrounding tissues were purchased from Shanghai Outdo Biotech (Shanghai, China) and collected from Tangdu Hospital (Xian, China). For IHC staining, the sections were deparaffinized in xylene, rehydrated using graded ethanol, and incubated with 0.1% sodium citrate buffer (pH 6.0) for 20 min at 95 °C for antigen retrieval. After endogenous peroxidase activity had been quenched with 3% H2O2·dH2O and nonspecific binding had been blocked with 1% bovine serum albumin buffer, the sections were incubated overnight at 4 °C with anti-METTL3 (ab195352, 1:1000, Abcam, Cambridge, UK) or anti-FBW7α (A301–720, 1:1000, Bethyl Laboratories, Montgomery, TX, USA) antibodies. Following several washes, the sections were treated with horseradish peroxidase-conjugated secondary antibodies for 30 min at room temperature and stained with 0.05% 3, 3- diaminobenzidine tetrahydrochloride. The slides were then photographed using a virtual slide microscope (Olympus VS120, Tokyo, Japan), and the images were analyzed with Image-Pro Plus 6.0 software (Media Cybernetics, Silver Spring, MD, USA). IHC sections were analyzed by two independent investigators.

Molecular biology

FBXW7 and METTL3 constructs were prepared using the pcDNA 3.1 vector (Invitrogen, Carlsbad, CA, USA).

RNA isolation and reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was isolated using RNeasy reagents (Qiagen, Hilden, Germany), and real-time PCR (qRT-PCR) was performed using an iCycler Real-Time System (Bio-Rad Laboratories, Hercules, CA, USA) with a SYBR Premix EX Tag Mastermix kit (TaKaRa, Shiga, Japan) according to the manufacturer’s instructions. Glyceraldehyde-3-phosphate dehydrogenase was used as an internal reference for gene expression. The relative mRNA expression of target genes was expressed using the 2-ΔΔCt method. Experiments were repeated three times [30]. The same method was used for mRNA detection in subsequent cell experiments. The primers used are listed in Additional file 2: Table S1.

Gene overexpression and knockdown

Lentiviral vectors containing METTL3 shRNA were purchased from Genchem (Shanghai, China). Cells were seeded in a 6-cm dish at a density of 2.5 × 106 cells, allowed to attach for 12 h, and transfected with overexpression plasmid (2 μg) or siRNA (1.5 μg) targeting each gene using Lipofectamine® 2000 reagent (Invitrogen) according to the manufacturer’s instructions. The knockdown siRNA sequences are listed in Additional file 2: Table S2.

Western blot analysis

Cells were washed with ice-cold phosphate-buffered saline, scraped from the culture dishes, centrifuged at 12,000 rpm at 4 °C for 15 min, and then lysed in radioimmunoprecipitation assay lysis buffer (Thermo Fisher Scientific, Waltham, MA, USA) before being centrifuged at 15,000×g for 20 min at 4 °C. The protein concentration was determined using a BCA protein assay kit (Thermo Fisher Scientific). Proteins were then separated by SDS-PAGE, transferred to a polyvinylidene fluoride membrane (Millipore, Billerica, MA, USA), and blocked with 5% non-fat milk. Next, the membranes were incubated with antibodies or conjugated to horseradish peroxidase for 2 h at room temperature as a control. Proteins were visualized using electrochemiluminescence reagents (GE Healthcare Life Sciences, Little Chalfont, UK) and detected using a LAS-4000 imaging system (Fujifilm, Tokyo, Japan). Image density was quantified using ImageJ analysis software (NIH, Bethesda, MD, USA). The antibodies used are listed in Additional file 2: Table S3.

Half-life analysis

After gene manipulation, 20 μg/mL of cycloheximide (CHX; Sigma, final concentration 100 μg/mL) was added to the cell medium, and the cells were harvested at the indicated time points, lysed, and FBXW7 expression was measured by western blot analysis.

RNA-binding protein immunoprecipitation (RIP)

RIP assays were performed using a Magna RIPTM RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s protocol. Briefly, the cells were collected and lysed in a complete radioimmunoprecipitation assay buffer containing a protease inhibitor cocktail and RNase inhibitor. Antibodies (5 μg) were pre-bound to Protein A/G magnetic beads in immunoprecipitation buffer (20 mM Tris-HCl pH 7.5, 140 mM NaCl, 0.05% TritonX-100) for 2 h and then incubated with 100 μL of cell lysate overnight at 4 °C with rotation. RNA was eluted from the beads by incubation with 400 μL of elution buffer for 2 h, precipitated with ethanol, and dissolved in RNase-free water. The enrichment of certain fragments was determined by real-time PCR.

m6A RNA immunoprecipitation (MeRIP) assay

MeRIP assays were performed using a Magna MeRIP m6A Kit (Millipore) according to the manufacturer’s instructions. Briefly, RNAs were chemically fragmented to ~ 100 nucleotides and incubated with magnetic beads conjugated to m6A antibodies (Abcam) for immunoprecipitation. The enrichment of m6A-containing mRNA was analyzed by qRT-PCR and normalized to the input.

Dual-luciferase reporter assay

Cells were seeded into each well of a 24-well plate and co-transfected with vectors according to the Lipofectamine®2000 (Invitrogen) protocol. After 48 h, luciferase activity was measured using a Dual-Glo Luciferase Assay system (Promega) according to the manufacturer’s instructions. Relative luciferase activity was assessed using a SYNERGY microplate reader (BioTek, Winooski, VT, USA). Firefly luciferase (F-luc) activity was normalized using Renilla luciferase to evaluate reporter translation efficiency.

Cell apoptosis analysis

Cells were incubated with Annexin V and propidium iodide (PI) according to the manufacturer’s instructions to analyze apoptosis. After 30 min, the cells were analyzed by fluorescence-activated cell sorting using a flow cytometer (BD Biosciences, Franklin Lakes, NJ, USA). Annexin V-FITC-staining indicated early apoptosis, whereas cells with double-positive Annexin V-FITC and PI signals were pooled for analysis.

Cell proliferation assay

Cell proliferation was assessed using a Cell Counting Kit-8 (CCK-8; Dojindo Laboratories, Kumamoto, Japan) according to the manufacturer’s instructions. Briefly, the cells were seeded in 96-well plates (5 × 103 cells/well), and then the medium was discarded. Next, a diluted CCK-8 solution (10% of total volume) was added at the indicated time points and incubated for a further 1.5 h. Absorbance was measured at 570 nm with a spectrophotometer (Tecan, Männedorf, Switzerland). Experiments were conducted in triplicate.

In vivo tumor formation assay

A total of 20 BALB/c nude mice (4–6 weeks old; weighing 17–20 g) were purchased from Cavens Laboratory Animal Co., Ltd. (Changzhou, China) and housed in a specific pathogen-free environment. The mice were randomly divided into groups before subcutaneous injection with cells (107) suspended in 200 μL of phosphate-buffered saline. Tumors were measured on day 7 and then once every 7 days until 28 days after injection. Tumor volume was calculated using the following formula: V (mm3) = 0.5 × length (mm) × width2 (mm2). At 4 weeks post-injection, the mice were sacrificed, and their tumors were isolated and weighed.

Statistical analysis

Statistical analyses were performed using Image-Pro Plus 6.0, ImageJ, and GraphPad Prism 8.0 (GraphPad, Inc., La Jolla, CA, USA) software. The mean values and standard deviation were calculated for continuous variables. One-way analysis of variance was used to determine variance among multiple groups. Survival curves were assessed using the Kaplan-Meier method and log-rank tests. A p-value < 0.05 was considered statistically significant.


m6A methylation of FBXW7 mRNA by METTL3

Substantial evidence has confirmed that FBXW7 plays a negative role in the pathogenesis of lung cancers. To explore the function of m6A methylation in the epigenetic regulation of FBXW7, we examined whether FBXW7 mRNA was m6A-methylated. MeRIP-qPCR indicated that FBXW7 mRNA contained abundant m6A modifications in HCC827 and PC9 cells (Fig. 1a, Additional file 1: Fig. S1A). To confirm the catalytic proteins that may be involved in m6A modification of FBXW7 mRNA, we compared and analyzed the correlations between FBXW7 and demethylases or methyltransferases from TCGA ( [31]. Interestingly, FXBW7 expression exhibited a positive correlation with all m6A modification system-related proteins except for METTL16 in LUAD (Fig. 1b); therefore, we predicted that the loss of FBXW7 was related to deregulation of m6A-related enzymes in LUAD, particularly the aberrant expression of METTL3, which is a key “writer” that installs m6A on RNAs.

Fig. 1
figure 1

m6A methylation of FBXW7 mRNA by METTL3. a m6A abundance on FBXW7 mRNA in HCC827 cells detected by MeRIP. b Gene correlation analysis of FBXW7 and m6A enzymes by GEPIA using Spearman statistics in lung adenocarcinoma (LUAD). c Western blotting of FBXW7 and METTL3 in HCC827 cells with METTL3 overexpression or knockdown. d Representative immunohistochemical staining for METTL3 and FBXW7 in LUAD and adjacent normal tissue (scale bar: 250 and 100 μm). e Correlation analysis between FBXW7 and METTL3 in twenty-eight pairs of normal (N) and LUAD tumor (T) samples. Correlation chart drawn in GraphPad Prism Version 8.4.0. Red: tumor; Black: normal. r = 0.4576, p < 0.001. (Pearson’s correlation analysis). Bar = mean ± SD. **p < 0.01

Simultaneously, we constructed METTL3 overexpression or knockdown systems using lentiviruses to study the function of METTL3 in LUAD (Additional file 1: Fig. S1B–D) and its effect on FBXW7 protein expression. We found that METTL3 overexpression in HCC827 and PC9 cells upregulated FBXW7 protein levels (Fig. 1c upper panels, Additional file 1: Fig. S1D, left panels), whereas METTL3 depletion significantly reduced FBXW7 protein expression (Fig. 1c, bottom panels, Additional file 1: Fig. S1D, right panels).

We also analyzed FBXW7 and METTL3 protein expression in twenty-eight paired LUAD and normal tissues, with IHC staining revealing that METTL3 and FBXW7 protein levels were higher in normal adjacent lung tissues than in LUAD tissues. Consistently, FBXW7 was expressed at lower levels in LUAD samples with low METTL3 expression (Fig. 1d). After standardization, the relationship between FBXW7 and METTL3 was plotted as a scatter diagram (Fig. 1e), which revealed that decreased FBXW7 protein expression was accompanied by decreased METTL3 expression and indicated a strong correlation between FBW7 and the m6A “writer.” Together, these results demonstrate that METTL3 mediates m6A modification in FBXW7 mRNA.

Correlation between METTL3 downregulation and poor prognosis in patients with LUAD

Recent studies have suggested that the m6A modification of many proteins plays a critical role in the development of various cancers; however, the role of METTL3 in LUAD remained unclear. We analyzed METTL3 protein expression in eight paired LUAD and normal tissues and found that METTL3 was remarkably downregulated in LUAD tissues (Fig. 2a). To identify direct targets of METTL3, we investigated changes in protein expression following METTL3 overexpression or knockdown in HCC827 and PC9 cells. We found that METTL3 overexpression increased the protein levels of apoptosis molecules (cleaved caspase 3 and Bax) and decreased the protein levels of Mcl-1 and c-Myc, which are classical FBXW7 target genes. In contrast, METTL3 depletion in HCC827 and PC9 cells had the opposite effects (Fig. 2b, Additional file 1: Fig. S2A).

Fig. 2
figure 2

Correlation between METTL3 downregulation and unfavorable prognosis in patients with lung adenocarcinoma (LUAD). a Relative METTL3 protein levels in paired tissues from eight patients with LUAD. b Western blotting of Mcl-1, c-Myc, cleaved caspase 3, Bax, METTL3, and FBXW7 protein expression in HCC827 cells with METTL3 overexpression or depletion. c–d METTL3 overexpression or depletion affected HCC827 cell apoptosis and proliferation. e Representative immunohistochemical staining for METTL3 in LUAD and paired normal tissues from one patient. Bar = mean ± SD. *p < 0.05

To investigate the contribution of m6A toward LUAD development and progression, we focused on apoptosis and proliferation, which play key roles in the progression of various cancers. Although METTL3 depletion reduced apoptosis and promoted HCC827 and PC9 cell proliferation (Fig. 2c–d, Additional file 1: Fig. S2B–C, upper panels), its overexpression strongly enhanced apoptosis and impeded proliferation compared to in control cells (Fig. 2c–d, Additional file 1: Fig. S2B-C, bottom panels). In addition, we evaluated the clinical relevance of METTL3 protein levels in LUAD using IHC staining in eight paired patient samples. METTL3 expression was weak or undetectable in most LUAD samples but was moderate or high in most para-tumor controls (Fig. 2e), suggesting that METTL3 reduces LUAD tumorigenesis.

FBXW7 overexpression rescues the anti-tumor phenotype impaired by METTL3 knockdown in vitro

To verify whether the impaired tumorigenesis phenotype in METTL3-depleted cells depended on FBXW7 reduction, we overexpressed FBXW7 in both HCC827 and PC9 subclones with METTL3 knockdown. Western blotting revealed that FBXW7 overexpression abrogated the increased expression of its downstream targets (Mcl-1 and c-Myc) and decreased the expression of apoptosis molecules (cleaved caspase 3 and Bax) in cells with METTL3 knockdown (Fig. 3a, Additional file 1: Fig. S3A).

Fig. 3
figure 3

FBXW7 overexpression rescues the anti-tumor phenotype impaired by METTL3 knockdown in vitro. a Relative protein levels of Mcl-1, c-Myc, cleaved caspase 3, Bax, METTL3, and FBXW7 were detected in HCC827 cells with the indicated plasmids. b METTL3 and FBXW7 expression were analyzed by western blot analysis in HCC827 cells with the indicated plasmids. c–d Effects of FBXW7 overexpression in shMETTL3 HCC827 cells. FBXW7 partially restored apoptosis and the inhibition of proliferation in HCC827 cells, which were reduced by METTL3 knockdown. e Radioimmunoprecipitation assays demonstrated the association between METTL3 and FBXW7 mRNA in HCC827 cells. f FBXW7 m6A modification levels in HCC827 cells determined using MeRIP-qPCR. Bar = mean ± SD. *p < 0.05, **p < 0.01

To validate whether FBXW7 contributes to the anti-tumor phenotype regulated by METTL3, we generated stable cells expressing the indicated genes (Fig. 3b, Additional file 1: Fig. S3B) to determine whether FBXW7 overexpression could rescue the effects of METTL3 knockdown on the biological behavior of HCC827 or PC9 cells. As shown in Fig. 3c–d, FBXW7 overexpression partially reversed the effects of METTL3 depletion on the apoptosis and proliferation of HCC827 cells and reversed the phenotype caused by METTL3 deficiency in PC9 cells (Additional file 1: Fig. S3C–D). Collectively, these results indicate that FBXW7 overexpression rescues the impaired anti-tumor phenotype caused by METTL3 knockdown.

In addition, quantitative RIP assays suggested that FBXW7 mRNA interacts with METTL3 in HCC827 and PC9 cells (Fig. 3e, Additional file 1: Fig. S3E). To verify that m6A-modified FBXW7 is regulated by METTL3, we performed MeRIP-qPCR experiments in HCC827 and PC9 cells with METTL3 overexpression or knockdown. METTL3 overexpression significantly promoted m6A modification in FBXW7 mRNA. However, METTL3 depletion had the opposite effect in HCC827 and PC9 cells (Fig. 3f, Additional file 1: Fig. S3F).

METTL3 triggers enhanced FBXW7 mRNA translation

Next, we investigated the mechanisms via which m6A modification affects FBXW7 expression in LUAD. First, evaluation of FBXW7 mRNA levels revealed no major differences in shMETTL3 or overexpressing cells (Fig. 4a). To verify whether METTL3 affected the subcellular FBXW7 mRNA distribution, we isolated and analyzed cytoplasmic and nuclear RNAs (Additional file 1: Fig. S4A); however, no notable discrepancy was observed in the subcellular localization of FBXW7 mRNA between METTL3 knockdown and control HCC827 cells (Fig. 4b). Similarly, no dramatic differences in the half-life of FBXW7 mRNA were detected in METTL3 knockdown and control HCC827 cells, as measured using actinomycin D (Fig. 4c). Consequently, protein stability or translation efficiency may be responsible for the reduced FBXW7 protein expression in shMETTL3 HCC827 cells.

Fig. 4
figure 4

METTL3 triggered enhanced FBXW7 mRNA translation. a FBXW7 mRNA was analyzed by RT-PCR in HCC827 cells with METTL3 overexpression or depletion. b Nuclear and cytoplasmic FBXW7 mRNAs were extracted separately. c FBXW7 mRNA was analyzed in HCC827 cells transfected with METTL3 control or shRNA plasmids after ActD treatment. d Western blot analysis of the cytoplasmic and nuclear fractions of HCC827 cells using polyclonal antibodies against METTL3, METTL14, WTAP, YTHDF1/2/3, LaminB (a nuclear protein), and α-tubulin (a cytoplasmic protein). e FBXW7 protein expression was determined by western blot analysis in HCC827 cells treated with CHX to block protein synthesis. f HCC827 cells were pretreated with CHX or MG-132 and then treated with control vectors or METTL3 plasmids. g Firefly (F-Luc) values were normalized against Renilla luciferase levels, and FBXW7 translation efficiency was calculated for the pmirGLO-FBXW7 reporter relative to pmirGLO in METTL3 knockdown and control HCC827 cells. Bar = mean ± SD. n.s., not significant; **p < 0.01

To test this assumption and validate whether METTL3 is engaged in translational control, we explored whether METTL3 was localized in the cytoplasmic fractions where the translation is initiated and occurs. Apart from nuclear localization where m6A modification occurs, METTL3 was expressed in the cell cytoplasm; however, other known METTL3-interacting proteins, including the m6A methyltransferase METTL14 and cofactor WTAP, displayed pronounced nuclear localization (Fig. 4d). To assess the potential effects of METTL3 on FBXW7 protein stability, we blocked translation using CHX and measured FBXW7 degradation in METTL3 knockdown and control HCC827 cells. The western blot analysis results revealed that the half-life of FBXW7 proteins was similar in METTL3 knockdown and control HCC827 cells (Fig. 4e), excluding the possibility that m6A -induced FBXW7 expression was associated with protein stability. HCC827 cells were also pretreated with the proteasome inhibitor MG132 or translation inhibitor CHX and then transfected with METTL3 overexpression plasmids. Interestingly, impairing METTL3 induced FBXW7 expression in HCC827 cells in the presence of CHX but not MG-132 (Fig. 4f). The PmirGLO-FBXW7-CDS luciferase reporter was generated by ligating the FBXW7 CDS to a multiple cloning site (Fig. 4g upper panel), and the subsequent assay indicated that the translational efficiency of FBXW7 was significantly lower in shMETTL3 cells than in the control group (Fig. 4g, bottom panel). Together, these results suggest that m6A mRNA modification regulates FBXW7 translation.

m6A methylated motifs in the CDS of FBXW7 promote its translation

Next, we attempted to elucidate the molecular mechanisms via which METTL3 promotes the translational efficiency of FBXW7. Fragmented RNA isolated from HCC827 cells was immunoprecipitated using m6A antibodies to investigate the distribution of m6A methylation in FBXW7 mRNA. The highest levels of m6A methylation were observed in the CDS, followed by the 3′ untranslated region (UTR) and 5′UTR (Fig. 5a). Accordingly, decreased m6A enrichment was observed in the FBXW7 CDS in shMETTL3 cells, indicating that m6A modification is more dynamic in the CDS than in the 3′UTR region. Moreover, we predicted possible m6A modification sites in the FBXW7 sequence using the sequence-based RNA adenosine methylation site predictor (SRAMP) [32], which valued each identified m6A site by assigning a predictive score (Additional file 1: Fig. S5, Additional file 2: Table S4). The FBXW7 genome contained 26 potential m6A sites predicted by SRAMPS, of which four had very high confidence at positions 2066, 2111, 2264, and 3190. To verify these predicted m6A sites, we designed specific primers to amplify 15 sites, which were merged into one region of less than 200 base pairs (bp), and MeRIP-qPCR was performed. After normalizing m6A-precipitated signals to the input, only three m6A sites (sites 8#, 10#, and 14#) showed elevated levels, indicating that the m6A sequence exists in these sites (Fig. 5b). Subsequently, we identified sites #11, #16, and #23 in cells transfected with the indicated mutant plasmids (RRACH → RRCCH) using MeRIP (Additional file 1: Fig. S4B).

Fig. 5
figure 5

m6A methylated motifs in the CDS promote FBXW7 translation. a m6A levels of fragmented RNA detected in wild-type or shMETTL3 HCC827 cells using MeRIP-qPCR. b m6A levels of predicted m6A sites analyzed by MeRIP-qPCR. Background noise was removed by normalizing samples to non-crosslinked inputs. Anti-IgG antibodies were used as a control. c Control shRNA and METTL3 knockdown HCC827 cells were transfected with or without PmirGLO-FBXW7–3’UTR-WT or PmirGLO-FBXW7–3’UTR-MUT. d Predicted m6A sites (yellow) and synonymous mutations (red) in the CDS sequence of FBXW7 mRNA. e Western blot analysis of FBXW7 expression in HCC827 cells co-expressing exogenous METTL3 and FBXW7-CDS-WT or FBXW7-CDS-MUTs. f qPCR analysis of immunoprecipitated m6A in HCC827 cells transfected with the indicated plasmids using FBXW7 PCR primers. g–i MeRIP-qPCR analysis of FBXW7 mRNA in HCC827 cells transfected with the indicated genes. Bar = mean ± SD. n.s., not significant; *p < 0.05, **p < 0.01

To explore the potential roles of m6A methylation in the FBXW7 3′UTR region, which demonstrated m6A methylation at site #23, we performed a luciferase assay in HCC827 cells using reporters containing FBXW7–3′UTR-WT or -MUT (site #23: AGAC to AGCC.). Compared to FBXW7–3′UTR-WT, the translational activity of FBXW7–3′UTR-MUT was similar between the control and shMETTL3 group, and METTL3 overexpression did not alter the luciferase activity of FBXW7–3′UTR-WT or -MUT in HCC827 cells (Fig. 5c). Together, these results indicate that the m6A modification, which promotes FBXW7 translation, does not correlate with m6A methylation levels at sites in the 3′UTR.

Therefore, we examined whether m6A methylation in the CDS promotes the translation of FBXW7. First, we constructed an FBXW7 CDS expression plasmid and mutated the m6A motif in the coding region of FBXW7, as follows: FBXW7-CDS-MUTs*: FBXW7-CDS-MUT1* and FBXW7-CDS-MUT2* (containing only one predicted m6A site that was mutated to create FBXW7-CDS-MUT1/2); FBXW7-CDS-MUTs series: FBXW7-CDS-MUT1, FBXW7-CDS-MUT2 (containing three putative m6A sites of which only one was mutated to create FBXW7-CDS-MUT1/2), and FBXW7-CDS-MUT3 (containing two potential m6A sites, which were both mutated to form FBXW7-CDS-MUT3; Fig. 5d). FBXW7 protein expression was lower in cells co-transfected with METTL3 and FBXW7-CDS-MUTs than in the METTL3 and FBXW7-CDS-WT group (Fig. 5e). We also performed MeRIP-qPCR to examine the level of m6A modification, which showed that the FBXW7-CDS-WT had high levels of m6A modification, whereas FBXW7 MUTs (MUT1, MUT2, and MUT3) contained little or no m6A in HCC827 cells with endogenous METTL3 expression (Fig. 5f). METTL3 overexpression significantly increased the abundance of m6A in FBXW7-CDS-WT/MUTs compared to the control vector of METTL3; however, this effect was inhibited in FBXW7 MUTs compared to in the FBXW7-CDS-WT because of the mutated m6A site. Remarkably, the m 6 A modification of FBXW7 MUT3, containing two m 6 A site mutation, was not elevated in METTL3 overexpression and control HCC827 cells (Fig. 5g). Compared to the control group, m6A modification was not enhanced in FBXW7-MUT1/2 in METTL3-overexpressing cells. Notably, the levels of transfected FBXW7 MUTs* were unchanged in METTL3-overexpressing compared to the control METTL3 vector due to only having one mutated m6A site (Fig. 5h), suggesting that the putative sites in FBXW7 mRNA are m6A methylated by METTL3. Furthermore, FBXW7-CDS-WT and FBXW7 MUT mRNAs interacted with METTL3, revealing that the mutated sites did not interrupt direct interaction between METTL3 and FBXW7 MUT mRNAs (Fig. 5i). Therefore, these results exclude the possibility that mutation interfered with the interaction between FBXW7 MUTS and METTL3. Together, our data indicate that METTL3 site-specific m6A modifications in the FBXW7 CDS promote FBXW7 translation.

FBXW7 overexpression rescued tumor growth inhibition impeded by METTL3 knockdown in vivo

To validate the effect of METTL3 on tumor growth in vivo, we conducted a xenograft tumor assay by subcutaneously injecting nude mice with HCC827 Ctrl, shMETTL3, OE-FBXW7, and shMETTL3/OE-FBXW7 cells. Significantly more tumors were derived from shMETTL3 HCC827 cells than from HCC827 Ctrl cells; however, FBXW7 overexpression attenuated the tumor-promoting effect of shMETTL3 HCC827 cells in vivo (Fig. 6b). We found that the shMETTL3/OE-FBXW7 groups displayed smaller tumors (Fig. 6c) and slower tumor growth (Fig. 6d) than the shMETTL3 group (p < 0.01), whereas peritumoral tissues displayed high FBXW7 levels and a remarkable reduction in tumor size. Additionally, METTL3 exhibited a similar expression pattern to FBXW7 (Fig. 6a), indicating a positive correlation between FBXW7 and METTL3 at the protein level.

Fig. 6
figure 6

FBXW7 overexpression rescues tumor growth inhibition impeded by METTL3 knockdown in vivo. a Representative IHC staining images of METTL3 and FBXW7 expression in mouse tumors. b Tumors from nude mice. c Volume of HCC827 cell tumors xenografted with the indicated plasmids in nude mice measured at regular intervals. d Weight of HCC827 cell tumors xenografted with the indicated plasmids in nude mice. e Results based on TCGA and GEPIA database ( showed the expression level of METTL3 in patients with lung adenocarcinoma (LUAD). f Kaplan-Meier analysis of METTL3 for overall survival, post-progression survival, and progression-free survival in LUAD (upper panels) and lung squamous cell carcinoma (LUSC) (bottom panels) patients. g Kaplan-Meier analysis of FBXW7 for OS in LUAD (upper panels) and LUSC (bottom panels) patients. Bar = mean ± SD. *p < 0.05; **p < 0.01

Low METTL3 expression in LUAD was validated by Gene Expression Profiling Interactive Analysis (GEPIA, [33] (Fig. 6e) and the prognostic correlation between METTL3 mRNA expression and the survival of patients with LUAD was evaluated using publicly available datasets. Kaplan-Meier curves revealed that patients with LUAD with higher METTL3 expression had better overall survival (n = 1927, p = 4.2 × 10− 13), post-progression survival (n = 344, p = 0.004), and progression-free survival (n = 982, p = 0.006; Fig. 6f, upper panels). Interestingly, this effect was markedly more significant in patients with LUAD than in those with lung squamous cell carcinoma (LUSC) (Fig. 6f, lower panels), consistent with the overall survival analysis of FBXW7 (Fig. 6g). Taken together, these data suggest that the METTL3-FBXW7 axis contributes to inhibition of tumor growth in vivo and that targeting m6A-modified FBXW7 is a promising strategy for overcoming tumorigenesis in LUAD.


FBXW7 is a key substrate recognition subunit of the SCF complex that acts as a tumor suppressor gene by controlling the proteasome-mediated degradation of oncoproteins, such as c-MYC, MCL1, Notch1/4, cyclin E, and mTOR [4, 5]. Several studies have shown that the loss-of-function mutation of FBXW7 is most often found in human cancers among the ~ 70 F-box genes identified in the human genome [34], meaning that approximately 6% of all cancers contain FBXW7 mutations [35] and supporting the role of FBXW7 as a tumor suppressor. To date, several mechanisms have been shown to regulate FBXW7 gene expression, including non-coding microRNA [36], DNA modification [37], histone modification [38], dimerization, and auto-ubiquitination [39]. For instance, P53 correlates with FBXW7 promoter hypermethylation, and its active form can directly bind to and stimulate FBXW7 expression [8, 40]. Similarly, EZH2 (enhancer of zeste homolog 2 polycomb repressive complex 2) is a histone methyltransferase that can silence FBXW7 function by trimethylating histone H3 at Lys27 (H3K27me3) [38]. It was recently shown that increased FBXW7 expression in mouse embryonic stem cells is facilitated by METTL5-mediated 18S ribosomal RNA m6A modification [41]. Altogether, these studies suggest that methylation is a crucial biological alteration that controls various mechanisms that epigenetically regulate FBXW7 expression and transcription.

Unlike DNA and histone methylation, m6A mRNA methylation that governs FBXW7 expression and/or function in cancers is largely unknown. This study found that FBXW7 protein levels correlate positively with METTL3 protein levels in LUAD tissues. In addition, we suggest that METTL3 initiates the m6A mRNA methylation of FBXW7. Specifically, we found that METTL3-dependent m6A modifications in the CDS of FBXW7 mRNA promote FBXW7 translation in LUAD, and m6A-modified FBXW7 enhanced antiproliferative and proapoptotic effects in LUAD, both in vitro and in vivo, validating the positive regulatory effects of METTL3 on FBXW7 expression.

Previous studies have shown that m6A modification is involved in many biological processes in mammals, including mRNA splicing, export, localization, translation, and stability [42]. Moreover, the m6A methylation of several associated proteins has been closely related to tumorigenesis in a broad range of cancer types [43]. As a “writer” in the m6A methyltransferase complex, METTL3 has been shown to affect various biological behaviors and, in turn, mediate carcinogenesis and development. Interestingly, METTL3 appears to act as a double-edged sword (inhibition or promotion) when exerting different molecular biological behaviors that mediate carcinogenesis and development. For instance, Deng et al. [44] found that METTL3 overexpression can inhibit the proliferation, migration, and invasion of CRC cells, whereas Li et al. [45] confirmed that METTL3 depletion suppresses CRC tumorigenesis and metastasis.

Accumulating evidence has indicated that the driver genetic cells, control pathways, and signaling networks in LUAD and LUSC differ substantially [46]. Notably, TP63 suppresses apoptosis, metastasis, and the DNA damage response in cancers and was shown to be a sensitive and specific IHC marker for distinguishing and subclassifying LUAD and/or LUSC. Moreover, TP63 has been associated with a worse prognosis in LUAD and a better prognosis in LUSC [47]. Overall, the stark differences between their genomic and pathway networks suggest that LUAD and LUSC are distinct diseases with different molecular mechanisms of initiation and epigenetic regulatory modifications. Therefore, although METTL3 has been reported to exert a cancer-promoting function in NSCLC, it is crucial to elucidate the unexpected tumor-suppressive role of m6A modification initiated by METTL3 in LUAD. In this study, analysis of TCGA database indicated that METTL3 was downregulated in LUAD and correlated with poor prognosis, making it a prognostic factor for patients with LUAD. In addition, METTL3 expression was significantly lower in LUAD specimens than in adjacent normal tissues and was accompanied by downregulated FBXW7 expression. Therefore, our results suggest that these rare effects of METTL3 are mainly based on increased FBXW7 m6A modification.

Unfortunately, some previous studies’ findings are inconsistent with our conclusions; however, these results may be explained by a failure to consider a valid genetic background. Recently, Jin et al. found that METTL3 plays an oncogenic role in NSCLC by enhancing YAP translation and promoting YAP activity via miR-19143p to stimulate drug resistance and metastasis in NSCLC cells (A549 and H1299) [48]. We propose that this phenotypic difference likely reflects the target specificity of METTL3-mediated m6A modified RNAs in different types of lung cancer cells, as well as tremendous genetic or epigenetic heterogeneity. The HCC827 and PC9 cells used in this study were considered a representative model of LUAD and differ substantially from LUSC at the molecular, pathological, and clinical levels [49,50,51]. Importantly, we found drastic differences when comparing our results with previously published METTL3 target proteins in other cancer cell lines, illustrating the high target specificity of m6A-modified proteins [52] and rationality of the observed inconsistencies.

There were also some limitations to this study. First, we collected an insufficient number of human LUAD samples, reducing the strength of our conclusion. Second, m6A methylation site prediction and functional verification should be performed at multiple levels to confirm the METTL3-dependent epigenetic regulatory mechanism of FBXW7. Ultimately, these are important issues that should be addressed in our future research, as the role of METTL3 and FBXW7 in LUAD requires further clarification.

Our study collectively reported a novel epigenetic mechanism and compelling evidence that METTL3 may enhance the translational efficiency and tumor suppressor function of FBXW7 via a multi-step process involving mRNA m6A methylation. Moreover, we identified abnormally m6A-modified FBXW7 as a vulnerability of LUAD malignancies and provided a molecular basis for m6A modification agonists of FBXW7 mRNA for future use in clinical research (Fig. 7).

Fig. 7
figure 7

Proposed model for the function and mechanism of m6A-modified FBXW7 in LUAD. Mechanism of m6A-modified FBXW7-inhibited lung adenocarcinoma (LUAD) growth. FBXW7 may function as a tumor suppressor regulated by METTL3, which installs m6A modifications in the CDS of FBWX7 mRNA and inhibits cell proliferation, ultimately promoting apoptosis via FBXW7 to suppress growth in LUAD


Our findings indicate that FBXW7 expression is positively associated with METTL3 at the protein level and exerted a crucial tumor suppressor function in carcinogenesis. In addition, METTL3 increased the m6A modification of the CDS of FBXW7 mRNA and, in turn, enhanced FBXW7 translation in LUAD. Thus, our data provide key insights into the anticancer roles of METTL3-mediated m6A modification and revealed its potential regulatory mechanism, suggesting targeting the METTL3-dependent m6A-modification of FBXW7 as a promising therapeutic strategy for the prevention and treatment of LUAD.

Availability of data and materials

All data generated or analyzed during the study are included in this published article.



Methyltransferase-like 3


Lung adenocarcinoma






m6A RNA immunoprecipitation


F-Box and WD repeat domain-containing 7


Quantitative real-time quantitative polymerase chain reaction


RNA Immunoprecipitation


Coding sequence


Untranslated region


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The authors thank Prof. Guodong Yang and Prof. Yang Li for technological support.


This study was funded by grants from the National Natural Science Foundation of China (81773153,8190101006).

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WYT, CN, and ZY performed experiments and collected data; ZXX, CYG, and XLD assisted with experiments and data collection; WB, ZY, JJ, and XJ assisted with data collection; WYT, ZY, and ZXX designed experiments and wrote the manuscript. All author(s) read and approved the final manuscript.

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Correspondence to Yingtong Wu, Jian Zhang or Jian Zhang.

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Supplementary Information

Additional file 1: Figure S1.

m6A methylation of FBXW7 mRNA by METTL3. Figure S2. Correlation between METTL3 downregulation and unfavorable prognosis in patients with lung adenocarcinoma. Figure S3. FBXW7 overexpression rescued the anti-tumor phenotype impaired by METTL3 knockdown in vitro. Figure S4. m6A-methylated motifs in the coding sequence promote FBXW7 translation. Figure S5. Prediction score of m6A distribution in the non-small cell lung cancer cell line according to the sequence-based RNA adenosine methylation site predictor (SRAMP) algorithm. Figure S6. Histogram showing the differences of each cell group in Fig. 3a.

Additional file 2: Table S1.

qRT-PCR primer sequences. Table S2. Knockdown sequences. Table S3. Primary antibodies used in this study. Table S4. The SRAMP algorithm was performed on the FBXW7 sequence of non-small cell lung cancer cell lines to predict m6A sites.

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Wu, Y., Chang, N., Zhang, Y. et al. METTL3-mediated m6A mRNA modification of FBXW7 suppresses lung adenocarcinoma. J Exp Clin Cancer Res 40, 90 (2021).

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