YTHDF2 reduction fuels inflammation and vascular abnormalization in hepatocellular carcinoma
Dynamic N6-methyladenosine (m6A) modification was previously identified as a ubiquitous post-transcriptional regulation that affected mRNA homeostasis. However, the m6A-related epitranscriptomic alterations and functions remain elusive in human cancer. Here we aim to identify the profile and outcome of m6A-methylation in hepatocellular carcinoma (HCC).
Using liquid chromatography-tandem mass spectrometry and m6A-immunoprecipitation in combination with high-throughput sequencing, we determined the m6A-mRNA levels in human HCC. Human HCC exhibited a characteristic gain of m6A modification in tandem with an increase of mRNA expression, owing to YTH domain family 2 (YTHDF2) reduction. The latter predicted poor classification and prognosis of HCC patients, and highly correlated with HCC m6A landscape. YTHDF2 silenced in human HCC cells or ablated in mouse hepatocytes provoked inflammation, vascular reconstruction and metastatic progression. Mechanistically, YTHDF2 processed the decay of m6A-containing interleukin 11 (IL11) and serpin family E member 2 (SERPINE2) mRNAs, which were responsible for the inflammation-mediated malignancy and disruption of vascular normalization. Reciprocally, YTHDF2 transcription succumbed to hypoxia-inducible factor-2α (HIF-2α). Administration of a HIF-2α antagonist (PT2385) restored YTHDF2-programed epigenetic machinery and repressed liver cancer.
Our results have characterized the m6A-mRNA landscape in human HCC and revealed YTHDF2 as a molecular ‘rheostat’ in epitranscriptome and cancer progression.
Keywordsm6A YTHDF2 HCC Inflammation Vessel normalization IL-11 Serpin E2 HIF-2α antagonism
a-ketoglutarate-dependent dioxygenase alkB homolog 5
Fat mass-and obesity-associated protein
Serine-type endopeptidase inhibitor
YTH domain family 2
As the most frequent internal decoration on eukaryotic mRNAs, N6-methyladenosine (m6A) has been proven to play fundamental roles in regulating gene expression and biological processes [1, 2, 3]. Pioneering studies have offered a glimpse into the sophisticated mechanisms of reversible m6A modification in cancer. The demethylase FTO (fat mass-and obesity-associated protein) decreases global m6A levels, leading to either downregulation of tumor suppressor genes or upregulation of tumor promoter genes [4, 5]. Another demethylase ALKBH5 (a-ketoglutarate-dependent dioxygenase alkB homolog 5) tends to stabilize stem-cell-related transcripts [6, 7]. METTL3 (methyltransferase-like 3)-catalyzed RNA methylation is required for cancer development [8, 9, 10, 11, 12], whereas the role of METTL14 varies with cancer types [13, 14, 15, 16]. Diverse post-transcriptional outcomes of m6A-methylation rely on its readers, which are poorly understood in human cancers. YTHDF2 (YTH domain family 2) is the most effective m6A reader that weakens mRNA stability by recognizing and distributing m6A-containing mRNAs to processing bodies [17, 18]. Recent reports referred YTHDF2 was able to degrade both tumor promoter and suppressor gene mRNAs [5, 8, 16, 19, 20]. While it enhanced self-renewing of leukemic stem cells , the basic role of endogenous YTHDF2 in solid cancer remained in question.
Despite the identification of thousands of m6A sites in a number of human cancer cell lines, less is known about the epigenomic alterations during cancer progression and the epitranscriptomic features amongst patients with any particular type of cancer. The metabolic traits of cancer cells, which are critical for adapting to the changes within the tumor microenvironment, often contribute to the epigenetic plasticity. As one of the most well-recognized cancer hallmarks, hypoxia can affect DNA methylation and histone methylation or acetylation by reducing enzymatic activity, regulating gene expression or increasing metabolite production [21, 22]. In terms of m6A-mRNA editing, hypoxia-inducible factors (HIFs) upregulate ALKBH5 expression, which in turn leads to NANOG mRNA demethylation in breast cancer cells . Nonetheless, the oncometabolite 2-hydroxyglutarate (2HG) attenuates FTO activity, thereby increasing global m6A RNA modification in 2HG-sensitive leukemia or glioma cells [5, 23]. Another study reported that hypoxia broadly increases m6A modification to mRNAs, leading to the acquisition of higher mRNA stability instead of m6A-mediated decay . These findings all suggest that tumor hypoxia causes m6A epigenetic remodeling, but the prevalent alterations and the molecule which triggers these alterations have not yet been determined.
Hepatocellular carcinoma (HCC), which possesses the hallmarks of hypoxia and chronic inflammation, is one of the most lethal malignancies worldwide [25, 26]. Here we identify a characteristic gain of m6A modification in tandem with an increase of mRNA expression in both human HCC specimens and cell lines exposed to hypoxia. In an epitranscriptome-wide setting, these “hyper-upregulated” genes exhibit a remarkable association with molecular rewiring for cancer progression. The reduction of YTHDF2, which predicts poor classification and prognosis of HCC patients, highly correlates with this epitranscriptional orchestration and promotes tumor growth and metastasis. Through genetic remodeling and m6A-mRNA profiling, we link YTHDF2 deficiency to mRNA stabilization of IL-11 and Serpin E2, the key mediators in support of hypoxia-induced cancer cell survival and vascular reconstruction [27, 28]. We further reveal a transcriptional inhibition of YTHDF2 by HIF-2α, which has been therapeutically targeted in renal cell carcinoma and HCC [29, 30]. Administration of a first-in-class HIF-2α antagonist (PT2385)  restored and required YTHDF2 to suppress inflammation-associated cancer progression. Together, our data highlight a protective role of YTHDF2 in HCC interrupting the hypoxia-induced epigenetic-inflammation-cancer axis.
Human HCC manifests a ‘hyper-up’ alteration in m6A-mRNA landscape
Using gene set enrichment analysis (GSEA), a previously established hypoxia signature  was strongly skewed toward tumor counterparts in the case of HCC (Fig. 1c). A recent study suggested hypoxia stimulated m6A demethylation6 whereas another report showed hypoxia favored m6A labelling . Therefore, we exposed HCC cell lines to hypoxia and observed a gain of m6A in all four cell lines as compared to normoxic conditions (Fig. 1d). Using MeRIP-seq, we detected a larger number of m6A peaks in hypoxic SMMC7721 mRNA, preferentially enriched in 3′ untranslated regions (3’UTR) and coding regions (CDS) (Fig. 1e, f). As profiled by RNA-seq, transcripts gained in m6A upon hypoxia manifested profoundly increased expression (Fig. 1g), which recapitulated the ‘hyper-up’ pattern identified in HCC specimens. GO analysis of those ‘hyper-up’ genes suggested activation of hypoxia-related oncogenic pathways (Additional file 1: Figure S1G). Notably, gene signatures of cell-cell contact and ‘serine-type endopeptidase inhibitor activity’ are enriched in ‘hyper-up’ populations based on both tumor tissue and hypoxic cell profiling (Additional file 1: Figure S1F, G).
YTHDF2 is associated with HCC epitranscriptome and clinical outcome
To analyze how hypoxia was linked to m6A-mRNA editing, we measured enzyme expression in HCC tissues as well as hypoxic cancer cells. Among methyltransferases, METTL14 mRNA displayed significant alteration in tumor (Additional file 1: Figure S2A), and yet its decrease could not explain the observed increase in global m6A. In concert with m6A hypermethylation, FTO and ALKBH5 mRNAs decreased in tumor tissues; however, they both increased under hypoxic conditions (Additional file 1: Figure S2A, B). Notably, YTHDF2 mRNA was reduced in both hypoxic cells and tumor tissues, which indicated an inverse correlation with the m6A/A ratio (Additional file 1: Figure S1H and 1I, J). Putatively, ‘hyper-up’ regulation of the m6A-epitranscriptome in HCC might result from the YTHDF2 reduction and consequential m6A-mRNA stabilization. We verified YTHDF2 protein levels were also decreased in hypoxic cells and tumor specimens (Additional file 1: Figure S1I, 1H and S2C). Importantly, in a setting of 200 HCC patients (recruited from 2006 to 2012), lower YTHDF2 protein levels were significantly associated with more multinodular tumors and microvascular invasion, higher TNM and BCLC stage classification, and shorter overall and recurrence-free survival period (Additional file 2: Table S1, Additional file 1: Figure S2D and 1 K). Accordingly, we hypothesized that a hypoxia-sensitive YTHDF2 reduction reprogrammed the m6A-edited transcriptome and promoted HCC development.
YTHDF2 deficiency promotes HCC growth, vasculature remodeling and metastasis
To obtain a deeper insight into the impact of YTHDF2 deficiency on HCC, we generated the liver-specific Ythdf2 KO mouse strain (Ythdf2LKO) and employed a chemical-induced HCC model. As compared with Ythdf2F/F littermates, Ythdf2LKO mice developed more advanced liver lesions, in terms of macroscopic number, size and histology, and more lung metastases (Fig. 2h-j and Additional file 1: Figure S4I). Tumor proliferation, apoptosis and angiogenesis were enhanced in the YTHDF2-deficient mouse liver (Additional file 1: Figure S4J, K and Fig. 2k). Nonetheless, no obvious vascular mimicry existed in either Ythdf2F/F or Ythdf2LKO liver tumors (data not shown). To our knowledge, the microvascular network in solid tumors is often compromised with functional abnormalities, which fuel metastasis formation . In the absence of YTHDF2, NG2+ pericytes were significantly reduced, whereas CD31+ endothelial cells largely accumulated and formed microvessels in tumor regions (Fig. 2k), defining a fundamental role for YTHDF2 in vascular normalization .
YTHDF2 deficiency escalates inflammation and vessel abnormalization
YTHDF2 degrades m6A-containing IL11 and SERPINE2 mRNAs
To ascertain the importance of YTHDF2-IL11/SERPINE2 pathway in HCC development, we silenced IL11 or SERPINE2 in YTHDF2-deficient cells by using shRNAs. Removal of IL11 abrogated the growth competitiveness of YTHDF2-deficient SMMC7721 cells (Fig. 5g), while a SERPINE2 deficit attenuated the proangiogenic capacity of SMMC7721 cells (Fig. 5h), highlighting that IL11 and SERPINE2 are key targets of YTHDF2 in cancer-promoting inflammation. As anticipated, concomitant targeting of both IL11 and SERPINE2 counterbalanced the malignant capability endowed by YTHDF2 depletion (Fig. 5i and Additional file 1: Figure S6F). To examine this pathway in a clinical setting, we looked into human HCC tissues with relatively low or high YTHDF2 protein levels. As shown in Fig. 5j, IL-11 and Serpin E2 expression displayed negative correlations with YTHDF2.
Hypoxia interrupts YTHDF2 expression in a HIF-2α-dependent manner
Since HIF-2α often terminates further expansion of hypoxic tumors, a small molecule (PT2385) selectively targeting HIF-2α has been developed to treat renal cell carcinoma and hepatocellular carcinoma [29, 30]. We tested PT2385 in treating HCC cells in vitro and in vivo, and found it exhibited favorable therapeutic effects (Fig. 6f, g, k). PT2385 rescued YTHDF2 expression (Fig. 6h) but unaffected YTHDF2 localization in hypoxic cells (data not shown), accompanied by neutralization of IL11 and SERPINE2 expression, as well as STAT3 phosphorylation (Fig. 6i, j). Nonetheless, PT2385 administration to the mice bearing YTHDF2-deficient tumors failed therapeutically (Fig. 6l), which was indicative of an indispensable role of YTHDF2 in treating hypoxic HCC.
Unlike methylation-related inhibition of tumor suppressor gene promoters, the epigenomic hallmarks and functional relevance for m6A mRNA decoration have not been fundamentally defined in human cancers. Here and elsewhere  it has been shown that m6A labeling is blunted in total RNAs of human HCC tissues, and yet tumor mRNAs exhibit m6A hypermethylation. This could be explained by the possibility of m6A hypomethylation in other RNAs, since m6A was also found in transfer RNA (tRNA), ribosomal RNA (rRNA), small nuclear RNA (snRNA) and long non-coding RNA (lncRNA) . Here we attach importance to abnormal mRNA methylation-related gene expression and biological functions in human HCC. To map its epitranscriptomic landscape, we took advantage of m6A- and mRNA-seq methods and thus quantitatively compared transcriptome-wide changes between tumor and non-tumor tissues. Typically, the majority of m6A-labelled mRNAs were regulated in a ‘hyper-up’ manner, which assembled a variety of oncogenic pathways. Interestingly, introducing HCC cells to hypoxia enabled this epitranscriptomic transformation in vitro, affecting common oncogenes such as those involved in ‘serine-type endopeptidase inhibitor activity’. Putatively, the ‘hyper-up’ feature is caused, at least in part, by hypoxia-induced YTHDF2 reduction. It has been widely accepted that steady-state levels of most transcripts decrease in the presence of m6A modification. Nonetheless, a deficit in YTHDF2 expression may shift m6A-editing into a cancer-specific mode. This notion is also supported by the recent observations that certain m6A-labelled genes become more stable in cancers [4, 42]. Taken together, our findings suggest hypoxia acts to shape the distinct m6A-mRNA landscape in human HCC.
Most HCC patients share a non-resolved inflammatory condition, owing to a history of chronic liver diseases with viral, fatty or other causes. In an autocrine or paracrine fashion, HCC cells receive the malignant signals from pro-inflammatory cytokines, which boost tumor and vascular proliferation and metastatic invasion. Blockade of oncogenic and angiogenic kinases or downstream STAT3 can retard primary tumor growth, which provides a rationale for many mainstream clinical therapeutics . Here we identify YTHDF2 as a novel tumor suppressor resolving cancer-promoting inflammation. Mechanistically, YTHDF2 inhibited STAT3 phosphorylation and tumor growth by degrading IL11 mRNA, which encodes the dominant IL-6 family cytokine that endows gastrointestinal cancers with proliferative and invasive capacity [27, 36]. The recent report showed that YTHDF2 could suppress EGFR phosphorylation , suggesting the substrate of YTHDF2 is in the upstream of EGFR but not EGFR itself.
Given the hypervascularity of HCC or metastatic liver cancer, anti-angiogenic therapy has long been considered unique; however, accumulating evidence in other cancer types have yielded insights into the necessity of both angiogenic and nonangiogenic mechanisms for targeting tumor vasculature. The latter accounts for the acquired resistance of anti-angiogenic therapy and metastatic dissemination of cancer cells, including but not limited to vascular co-option and mimicry [27, 44]. In this context, we unexpectedly found that YTHDF2 resisted either tumor angiogenesis or vascular mimicry by targeting SERPINE2. Serpins, or serine-type endopeptidase inhibitors, are a superfamily of secretory proteins acting as anti-coagulant and pro-inflammatory factors, which frequently display m6A-mRNA hypermethylation and gene overexpression in human HCC. Plasminogen activator (PA) inhibitory serpins have been shown to promote tumor growth and initiate metastasis by fostering angiogenesis and vascular co-option [37, 38]. As previously reported, the autocrine of serpin E2 of breast cancer cells enabled vascular mimicry and drove metastatic extravasation . We show that YTHDF2 is required for suppressing tumor angiogenesis in vitro and in vivo, and restricting formation of vascular mimicry in the metastatic MHCC97H tumors. Strikingly, YTHDF2 also benefited tumor vessel normalization , as characterized by a positive correlation to pericyte coverage and an inverse correlation to vascular permeability. Therefore, these results indicated that YTHDF2 provided the ideal molecular basis to control HCC by pleiotropic targeting of cancer-promoting inflammation.
Under normoxia, introduction of exogenous YTHDF2 in HCC cells could slightly mediate IL11 and SERPINE2 mRNA decay but did not correspondently disrupt the 3’UTR reporter activity in the presence of m6A motifs. A possible explanation is that the simplified 3’UTR constructs could not faithfully reflect the interaction between substrate mRNAs and YTHDF2. By contrast, endogenous YTHDF2 seemed more functional than the exogenous version, hence the expression of IL11 and SERPINE2 mRNAs were significantly upregulated when knocking down YTHDF2. Importantly, YTHDF2 function was reinforced by oxygen deficit, owing to its increased distribution in processing bodies.
Hypoxia is a key driver of tumor growth, angiogenesis and metastasis, and also a mediator preconditioning re-vascularization and tumor dissemination post therapeutic vascular regression [34, 44]. Clinically, hypoxia-induced HIF stabilization was associated with poor patient survival in a variety of cancer types . Despite a small portion of overlapping target genes, HIF-1α and HIF-2α often exert different functions at different stage of cancer development. For instance, HIF-1α and HIF-2α play complementary roles during early angiogenesis, whereas vascular remodeling are mainly HIF-2α-driven . In certain types of cancer, a HIF-1α-to-HIF-2α switch evolutionarily emerges to enhance aggressive tumor growth and invasion . Of note, abnormal HIF-2α expression could even occur under normoxic conditions , which we also detected in HCC cell lines. Since non-tumor liver tissues accumulated abundant HIF-2α in the cytoplasm of hepatocytes, it is highly suggestive for its potential cytosolic function. In line with increased nuclear expression in tumor regions, we uncover its association with Ythdf2 gene promoter and transcriptional suppression. Intriguingly, recent work suggested that the first-line anti-HCC drug sorafenib induced HIF-2α expression, whereas treating with the HIF-2 antagonist PT2385 significantly reversed sorafenib efficiency . Here, we demonstrate that PT2385 rescues and requires YTHDF2 expression to exert its therapeutic effect in a HCC xenograft model. Besides transcriptional regulation, hypoxic onset allows translocation of cytosolic YTHDF2 protein to processing bodies through an unknown mechanism. In concert, PT2385 upregulates YTHDF2 expression without changing its cytosolic distribution, which optimizes YTHDF2 function in hypoxic cancer.
The m6A ‘reader’ YTHDF2 acts as a mRNA-processing enzyme, potentially reprogramming the epitranscriptome in response to hypoxia, a frequent feature in human HCC. Our results indicate that YTHDF2 represses both tumor cells and tumor vasculature by processing IL11 and SERPINE2 mRNAs to decay. Indeed, HIF-2α-mediated inhibition of YTHDF2 in HCC cells provides proof of concept that hypoxia adapts cancer epigenetics for aggressiveness, which is due, at least in part, to the stabilization of m6A-containing oncogene mRNAs. Overall, these findings highlight profound implications for understanding and targeting the m6A-methylome in human liver cancer.
Materials and methods
Tumor tissues and matched adjacent non-tumor tissues were obtained from liver cancer patients who underwent liver resection at the Department of Liver Surgery, and diagnosed as HCC by the Department of Pathology, Renji Hospital, School of Medicine, Shanghai Jiaotong University. All samples were collected with informed consent, and the experiments were approved by the ethical review committee of the World Health Organization Collaborating Center for Research in Human Production (authorized by the Shanghai Municipal Government). A total number of 200 patients enrolled from 2006 to 2012 were all treatment naïve before surgery, and were routinely followed up after curative liver resection. Portions of surgically resected tissues were immediately transferred to liquid nitrogen until RNA or protein extraction. Paraffin-embedded tumors were processed into tissue microarrays for histological staining and prognostic analysis. Detailed clinicopathologic features were summarized in Additional file 2: Table S1.
Poly(A)+ mRNA samples were denatured at 65 °C for 5 min in 3 sample volumes of RNA incubation buffer. An equal volume of chilled 20 × SSC buffer (Sigma-Aldrich) was then added before samples were spotted on the nitrocellulose membrane. After UV crosslinking for 10 min, the membrane was washed with 1 x PBST buffer, blocked with 5% non-fat milk and incubated with anti-m6A antibody (1:2000, Synaptic Systems) overnight at 4 °C. Then HRP-conjugated goat anti-rabbit IgG (Jackson Immuno Research Laboratories) was added to the blots for 1 h at room temperature and the membrane was developed with a ChemiDoc XRS system (Bio-Rad).
LC-MS/MS quantification of m6A
100–200 ng of mRNA was digested by nuclease P1 (2 U) in 25 μl of buffer containing 25 mM NaCl, and 2.5 mM ZnCl2 at 42 °C for 2 h, followed by the addition of NH4HCO3 (1 M, 3 μl) and alkaline phosphatase (0.5 U) and incubation at 37 °C for 2 h. The sample was then filtered (0.22 μm pore size, 4 mm diameter, Millipore), and 5 μl of the solution was injected into the LC-MS/MS. The nucleosides were separated by reverse- phase ultra-performance liquid chromatography on a C18 column with online mass spectrometry detection using an Agilent 6410 QQQ triple-quadrupole LC mass spectrometer in positive electrospray ionization mode. The nucleosides were quantified by using the nucleoside-to-base ion mass transitions of 282 to 150 (m6A) and 268 to 136 (A). Quantification was carried out by comparison with a standard curve obtained from pure nucleoside standards run with the same batch of samples. The m6A/A ratio was calculated based on the calibrated concentrations.
Total RNA was extracted from human HCC tissues or SMMC7721 cells with TRIzol (Invitrogen), then polyadenylated RNA was enriched using an Oligotex® mRNA purification kit (Qiagen). In particular, additional DNase I digestion was applied to all samples to avoid DNA contamination. RNA fragmentation, m6A-IP and library preparation were proceeded according to previously published protocols . Sequencing was conducted at the University of Chicago Genomics Facility on an Illumina HiSeq2500 machine in single-read mode with 50 base pairs per read. Enrichment of m6A-containing transcript segments was also analyzed through RT-qPCR. Primers targeting m6A-enriched regions of IL11 and SERPINE2 are listed: IL11_F, TCCAACAGTGAGGGTTAAGCAA; IL11_R, CCCTGAATGACAGTCCCTGC; SERPINE2_F, GGCCTCATGACAACATCGTG; SERPINE2_R, CGAGCTGCTTCTTGGTCCTG.
Gene set enrichment analysis (GSEA)
RNA-seq read counts for 14 genes that make up the hypoxia metagene signature (ALDOA, MIF, TUBB6, P4HA1, SLC2A1, PGAM1, ENO1, LDHA, CDKN3, TPI1, NDRG1, VEGFA, ACOT7 and ADM)  were analyzed with GSEA software v.2.0, which is available from the Broad Institute ().
Animal procedures and models
A number of 5 × 106 SMMC7721 or MHCC97H cells re-suspended in 100 μl of PBS were subcutaneously injected into the right flank of 6-week old male NCG mice (NOD-Prkdcscid Il2rgnull) (Model Animal Research Center of Nanjing University). Tumor growth was monitored by caliper rule every 3–5 days. Primary tumor volume was measured using the formula: Volume = (Length × Width 2)/2. The mice were euthanized when the tumor length reached 15 mm or at the indicated date post tumor injection. Tumors and lungs were harvested for further histological study. For HIF-2 antagonism, PT2385 (c) was suspended in saline with 0.5% sodium carboxymethyl cellulose, 2.5% Tween 80 and 2.5% dimethyl sulfoxide. NPG mice were randomly distributed into 2 groups when the subcutaneous tumors reached an average size of 200 mm3, and administered vehicle or PT2385 (20 mg/kg o.p.d.) by gavage until endpoint (when the tumor size in control group reached 15 mm).
Ythdf2F/F mice in C57BL/6 background were described elsewhere . For liver-specific disruption, Ythdf2F/F mice were crossed with mice harboring the Cre recombinase under control of the albumin promoter to obtain the Ythdf2LKO strain. Male Ythdf2F/F and Ythdf2LKO littermates were injected intraperitoneally with a single dose of 25 mg/kg diethylnitrosamine (DEN) (Sigma-Aldrich) on postnatal day 14, and 6 weeks later administrated CCl4 (1 ml/kg) once per week for 12 weeks. Mice were euthanized at 8.5-month old, and the livers and lungs were harvested for tumor assessment and histological experiments. The primers used for genotyping are listed: 5’Ythdf2_F, GCTTGCCTGCTACATAGTGAGA; 5’Ythdf2_R, AACTGAACTGCTTAACCTTCTGG; 3’Ythdf2_F, GAACGGTATTGTCGGTATTGTCA; 3’Ythdf2_R, AGACCACTCCAACACAGAACTT.
All mice were maintained under specific pathogen-free (SPF) conditions, on a 12 h light-dark cycle. All mouse experiments were approved by the Shanghai Administrative Committee for Laboratory Animals.
The procedure was adapted from the previous protocol  and was described in our recent work . Briefly, a total of 5 × 107 SMMC7721 cells expressing Flag-tagged YTHDF2 were collected and lysed in a buffer containing 150 mM KCl, 10 mM HEPES (pH 7.6), 2 mM EDTA, 0.5% CA-630, 0.5 mM DTT, 1:100 protease inhibitor cocktail, and 400 U/ml RNase inhibitor. Cell lysate was incubated with Flag M2 beads at 4 °C for 4 h. Then the beads were washed with NT2 buffer and incubated in elution solution containing Flag peptide (Sigma-Aldrich). After washing, bound RNAs were extracted using TRIzol reagent and analyzed by RT-qPCR.
RNA lifetime assay
At least three biological replicates were used in each experiment unless otherwise stated. Data were analyzed with GrapPad Prism 7 and were presented as the mean ± standard error of the mean (SEM). Comparisons between two groups were assessed using unpaired or paired (for matched comparisons) two-tailed Student’s t-test, or non-parametric Mann-Whitney U-test. Multiple comparisons were assessed by one-way ANOVA. Survival rates were compared using the log-rank test. Pearson correlation coefficients (r) were calculated to assess correlation and statistical significance was assessed by a two-tailed t-test of r = 0. The statistical significance of clinicopathological differences among HCC patients were assessed by χ2-test.
Supplementary materials and methods
More detailed materials and methods including Cell culture, Constructs and transfections, Immunohistochemistry, Immunoblotting, Real-time quantitative PCR, Immunofluorescence, Cell proliferation, migration and mammosphere assay, Tube formation assay, Enzyme-linked immunosorbent assay, Luciferase reporter assay, Chromatin immunoprecipitation, m6A-seq data analyses are provided in Additional file 5.
We would like to thank all the members of the Xia, He and Smyth labs for helpful discussions and comments. We thank Prof. Ligang Wu (Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences) for the suggestions on using of 3’UTR reporter plasmids, and thank Dr. Luyu Yang (Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Fudan University) for providing the HCC cell lines LM3 and MHCC97L.
J.H. conceived the project. He.Z., Zhenjun Z., J.W., Zhicong Z., B. H, J.Z. and He.Z. performed the cell and animal experiments. J.L., J.H. and Z.L. analyzed the RNA-Seq and m6A-Seq data. Zhenjun Z., Haiyan.Z., J.W. and M.F. tested the human samples and performed statistical analysis. X.H. and B.S. generated the gene knockout mice. M.J.S, Beicheng S. and Bin.S. provided important suggestions. J.H. designed the study, analyzed the data and wrote the manuscript. J.H., C.H. and Q.X. supervised the study. All authors read and approved the final manuscript.
This study was supported by National Key Research and Development Program of China (2017YFC0908102 to Q.X.), National Natural Science Foundation of China (81871970 & 81672801 to J.H.), the Joint Program of Biomedical Engineering & Medicine in Shanghai Jiaotong University (to J.H.), the Chen Guang Project in Shanghai Municipal Education Commission and Shanghai Education Development Foundation (15CG13 to J.H.), and The Ludwig Center at the University of Chicago Grant (to C.H.).
Ethics approval and consent to participate
The study has been approved by the Ethics Committee of Renji Hospital. Written informed patient consent was obtained from all patients. All experimental methods abided by the Helsinki Declaration.
Consent for publication
The authors declare no conflict of interest.
- 7.Zhang S, Zhao BS, Zhou A, Lin K, Zheng S, Lu Z, Chen Y, Sulman EP, Xie K, Bogler O, et al. m (6) a Demethylase ALKBH5 maintains Tumorigenicity of Glioblastoma stem-like cells by sustaining FOXM1 expression and cell proliferation program. Cancer Cell. 2017;31:591–606 e596.PubMedPubMedCentralCrossRefGoogle Scholar
- 20.Paris J, Morgan M, Campos J, Spencer GJ, Shmakova A, Ivanova I, Mapperley C, Lawson H, Wotherspoon DA, Sepulveda C, et al. Targeting the RNA m (6) a reader YTHDF2 selectively compromises Cancer stem cells in acute myeloid leukemia. Cell Stem Cell. 2019.Google Scholar
- 30.Xu J, Zheng L, Chen J, Sun Y, Lin H, Jin RA, Tang M, Liang X, Cai X. Increasing AR by HIF-2alpha inhibitor (PT-2385) overcomes the side-effects of sorafenib by suppressing hepatocellular carcinoma invasion via alteration of pSTAT3, pAKT and pERK signals. Cell Death Dis. 2017;8:e3095.PubMedPubMedCentralCrossRefGoogle Scholar
- 31.Courtney KD, Infante JR, Lam ET, Figlin RA, Rini BI, Brugarolas J, Zojwalla NJ, Lowe AM, Wang K, Wallace EM, et al. Phase I dose-escalation trial of PT2385, a first-in-class hypoxia-inducible factor-2alpha antagonist in patients with previously treated advanced clear cell renal cell carcinoma. J Clin Oncol. 2018;36:867–74.PubMedCrossRefGoogle Scholar
- 36.Bollrath J, Phesse TJ, von Burstin VA, Putoczki T, Bennecke M, Bateman T, Nebelsiek T, Lundgren-May T, Canli O, Schwitalla S, et al. gp130-mediated Stat3 activation in enterocytes regulates cell survival and cell-cycle progression during colitis-associated tumorigenesis. Cancer Cell. 2009;15:91–102.PubMedCrossRefGoogle Scholar
- 43.Llovet JM, Montal R, Sia D, Finn RS. Molecular therapies and precision medicine for hepatocellular carcinoma. Nat Rev Clin Oncol. 2018.Google Scholar
- 47.Mutvei AP, Landor SK, Fox R, Braune EB, Tsoi YL, Phoon YP, Sahlgren C, Hartman J, Bergh J, Jin S, Lendahl U. Notch signaling promotes a HIF2alpha-driven hypoxic response in multiple tumor cell types. Oncogene. 2018.Google Scholar
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