Abstract
m6A (N6-methyladenosine) methylation, a well-known modification in tumour epigenetics, dynamically and reversibly fine tunes the entire process of RNA metabolism. Aberrant levels of m6A and its regulators, which can predict the survival and outcomes of cancer patients, are involved in tumorigenesis, metastasis and resistance. Ovarian cancer (OC) ranks first among gynaecological tumours in the causes of death. At first diagnosis, patients with OC are usually at advanced stages owing to a lack of early biomarkers and effective targets. After treatment, patients with OC often develop drug resistance. This article reviews the recent experimental advances in understanding the role of m6A modification in OC, raising the possibility to treat m6A modification and its regulators as promising diagnostic markers and therapeutic targets for OC.
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Background
Ovarian cancer (OC) is the leading death among gynaecological tumours, attracting the attention of researchers [1,28]. Before adaptive immune initiation, loss of m6A modification in mRNAs of suppressor of cytokine signalling (SOCS) family genes stabilizes the mRNA and enhances the protein expression of targets, finally maintains the survival of naïve T cells [29]. Meanwhile, accumulated evidence shows that dysregulation of m6A levels and m6A regulatory proteins are also closely correlated with the progression of multiple tumours [26, 30,31,32,33]. As the first discovered methyltransferase, methyltransferase-like 3 (METTL3) accelerates growth of acute myeloid leukaemia (AML) cells via increasing m6A modification within the leukaemia-associated mRNA transcript presenting CCAAT enhancer binding protein zeta (CEBPZ) protein at transcriptional starting sites [34]. Likewise, in most OC cases, METTL3 plays as an oncogene by boosting invasion, migration and proliferation of OC cells, during which METTL3 targets different types of RNA, including pri-miRNA 126-5p, lncRNA RHPN1 antisense RNA 1 (head to head) (RHPN1-AS1) and mRNA AXL receptor tyrosine kinase (AXL) [35,36,77]. In another study, through qRT-PCR analysis, Jiang et al. found upregulated ALKBH5 in ovarian cancerous tissues than in normal tissues and downregulated ALKBH5 in OC cell lines than in normal cells [79]. Further CCK-8 and flow cytometry assays showed protumour effects of ALKBH5 in ovarian cancer cells [79]. However, when cocultured with the M1 macrophage or the M2 macrophage, OC cells were divergently affected by ALKBH5 [79]. Specifically, the protumour abilities of OC cells were enhanced by coculture with M2 macrophages and inhibited by coculture with M1 macrophages. Collectively, Jiang et al. showed that OC cells upregulated ALKBH5 in inflammatory microenvironment to induce demethylation of Nanog homeobox (NANOG), which promoted the stemness and carcinogenesis of tumour cells [79]. The functions of demethylases are contradictory, which may be attributed to the complicated tumour microenvironment. Huang et al. observed that FTO downregulation was associated with cultures enriched with CSCs. Jiang et al. found that the effects of ALKBH5 on OC cells are dependent on a specific inflammatory microenvironment. These findings have advanced spirited debates on the effects of m6A regulators on interactions between tumours and their microenvironments. Continued work is important to clarify the effects and to benefit future m6A targeting strategies.
As a catabolic process, autophagy recycles cellular metabolites, macromolecules or organelles via lysosomes to maintain cellular homoeostasis [103,104,105,106]. A very large body of literature has established that autophagy is an important player during cancer development referring to proliferation, metastasis and resistance [107,108,109,110]. By using Torin 1-induced autophagy and sequencing in SK-OV-3 cells, Zhang et al. discovered that circRAB11FIP1 can promote autophagy, demonstrated by autophagy flux models (3-methyladenine, bafilomycin and Earle’s Balanced Salt Solution) and autophagy readouts (the distribution of mRFP-GFP-LC3) in SK-OV-3 and A2780 cells [95]. Further RIP assays in SKOV3 cells revealed that circRAB11FIP1 could bind FTO mRNA through 14 bp, indicated by the greater enrichment of FTO mRNA in the circRAB11FIP1 WT group in SK-OV-3 than in the 14-bp mutant group [95]. This interaction subsequently enhanced the expression of FTO in A2780 and SK-OV-3, demonstrated by manipulations of circRAB11FIP1 expression in a qRT-PCR assay [95]. Interestingly, by employing multiple autophagy flux models and autophagy readouts, Wang et al. discovered that FTO promoted autophagy in 3T3-L1 cells. By conducting LC–MS/MS quantification, RIP-qPCR, WB, MeRIP-qPCR and firefly luciferase activity assays, the authors also found that FTO directly erased the m6A modification in mRNAs of Atg5 and Atg7 in 3T3-L1 cells, which was partially verified by Zhang et al. in human OC cells [95, 111]. Moreover, in a generated fto-AKO model, deletion of Fto markedly inhibited autophagy, indicated by an attenuated LC3-II:I ratio, elevated Sqstm1 levels, and reduced Atg5 and Atg7 protein and gene expression [95, 111]. These two studies highlight the vital role of FTO in autophagy. Considering that the functions of autophagy are highly context dependent, the specific role of FTO in cancer remains contradictory, despite the suppression of FTO in PARPi-resistant OC cells and CSC OC cells [77, 78, 103].
m6A methylation ‘readers’
In OC studies, m6A modification research mainly focuses on YTH domain family members (YTHDF1 and YTHDF1) and insulin-like growth factor 2 mRNA-binding proteins (IGF2BP1) [40, 80,81,82, 112]. Through functional and experimental analyses of ovarian cancer, recent studies underscore the protumour role of m6A ‘readers’ in vitro and in vivo, with regard to tumour growth, invasion and CSC phenotype [40, 80,81,82, 112] (Table 3). More recent work suggests that IGF2BP1, YTHDF1 and YTHDF1 mainly function as oncogenes in multiple cancer types, including colorectal cancer, hepatocellular carcinoma (HCC), gastric cancer, lung cancer, AML, pancreatic cancer, OC, bladder cancer, prostate cancer and melanoma [73, 113]. However, in a few cases, IGF2BP1, YTHDF1 and YTHDF1 exert suppressive functions. IGF2BP1 hampers tumour cell growth and invasion in breast cancer [113]. YTHDF1 blocks the migration and growth of melanoma [73, 114]. YTHDF2 hinders the progression of melanoma as well as gastric cancer [73, 115, 116]. These key sets of observations reinforce the context-dependent roles of m6A readers in multiple cancer types. This phenomenon is partly attributed to divergent functions of m6A targets, which can also be verified in OC, as discussed below.
m6A methylation reading proteins can selectively bind modified products of m6A to affect the metabolism of mRNA. IGF2BP1 and YTHDF1 are implicated in OC progression by augmenting the translation of target mRNA [40, 81, 82]. A case in point is the previous discovery that IGF2BP1-serum response factor (SRF) mRNA association upregulates SRF expression, followed by its activation of oncogenic transcriptional function in HCC (Huh-7 cell line) and OC cells (ES-2 cell line) [81]. In this work, to identify effector networks of oncogenic IGF2BP1, the author employed RNA-seq after IGF2BP1 knockdown to monitor mRNA abundance and cross-linking immunoprecipitation high-throughput sequencing (CLIP-seq) studies to assess binding sites in Huh-7 and ES-2 cell lines [81]. Further gene set enrichment analysis predicted SRF mRNA as a target of IGF2BP1 in both Huh-7 and ES-2 cell lines, which was subsequently validated by IGF2BP1 knockout using CRISPR/Cas9 technology both in vitro and in vivo [81]. This regulation process was presumably m6A-dependent, as shown by the decrease in IGF2BP1-SRF mRNA association upon METTL3/14 depletion in cells [81]. Finally, the IGF2BP1-SRF network promoted cell growth and invasion, demonstrated by a spheroid assay in cells, which was then verified by Kaplan–Meier Plot (Kmplot) analysis [81]. This work indicates that IGF2BP1 exerts an oncogenic role by targeting SRF in OC. Similar to this discovery, Hao et al. reported that YTHDF1 was recruited to m6A-modified tripartite motif containing 29 (TRIM29) to upregulate TRIM29 expression, which empowered cisplatin-resistant OC cells (A2780/DDP and SK-OV-3/DDP) with a CSC phenotype [82]. Using SILAC-labelled biotin pulldown assays followed by quantitative mass spectrometry, Hao et al. identified YTHDF1 as a TRIM29 mRNA-binding protein, which was further established through a RIP assay, luciferase assay, WB and RIP-qPCR assay in A2780/DDP and SK-OV-3/DDP cells [82]. Next, functional analyses (including colony formation, Transwell analysis and a spheroid formation assay) indicated that YTHDF1 knockdown significantly suppressed the CSC features of A2780/DDP and SK-OV-3/DDP cells but showed no effects on the parental cells, which was consistent with the rescue environment induced by TRIM29 overexpression [82]. This study suggests that YTHDF1 behaves as an oncogene in tumours by targeting TRIM29 in cisplatin-resistant OC cells. In another similar study, by analysing several cohorts of OC patients in TCGA pan-cancer database and GEO datasets (GSE66957 and GSE54388), Liu et al. discovered that YTHDF1 was elevated in various cancer types, including ovarian cancer, which was further established by qRT-PCR analysis of human fresh frozen ovarian tissues (n = 35 for cancerous; n = 12 for normal) and by IHC data from an OC tissue microarray (n = 134) [40]. Next, Kmplot survival and FIGO stage analyses revealed that the expression of YTHDF1 significantly correlated with the prognosis of OC patients [40]. Functional analyses, including CCK-8, EdU staining, colony formation and Transwell assays, showed that YTHDF1 knockdown suppressed cell growth and migration in A2780 and SK-OV-3 cells in vitro, which was validated in vivo in a xenograft mouse model and an orthotopic mouse model [40]. Multiomics analyses, including RNA-seq, RIP-seq, eCLIP-seq and CLIP-qPCR, identified EIF3C as a YTHDF1-binding transcript that regulates RNA translation, which was consistent with the unchanged RNA abundance of YTHDF1 targets in multiomics analyses and was also further confirmed by the mutation of YTHDF1 and rescue experiments [40]. This study revealed that the oncogene EIF3C is a target mRNA for the m6A reader YTHDF1 in OC. In a word, these studies indicate that IGF2BP1 and YTHDF1 exert their oncogenic roles through their targets in OC, which provides opportunities to develop new diagnostic markers and new strategies to target IGF2BP1 and YTHDF1 in OC.
Early and more recent literature underlines the critical role of m6A regulators in OC. Exploration of downstream signalling cascades of the m6A regulator may answer the question that how m6A regulators function during OC progression [40, 81, 82]. There is another question: why are m6A regulators aberrantly expressed in OC? Explorations of upstream m6A regulators may elucidate this question. Recently, Xu et al. identified YTHDF2 as a novel substrate for E3-ubiquitin ligase (F-box and WD repeat domain containing 7) FBW7 in OC, the latter of which is a tumour suppressor [80]. After degradation via the proteasome system, impaired YTHDF2 im**ed on mRNA decay of the proapoptotic gene bcl2 modifying factor (BMF) in vitro and in vivo [80]. In this study, by analysing data from TCGA RNA-Seq database (n = 1207), Xu et al. displayed that YTHDF2 was elevated in the ovarian cancerous tissue and closely associated with poor prognosis of OC patients. This is in line with results from OC tissue microarrays (n = 115) analyses via qRT-PCR, IHC and Kmplot survival analyses [80]. In addition, both in vitro and in vivo, blockade of YTHDF2 suppressed the growth of OC cells, as shown by CCK-8 assays, colony formation assays and a mouse xenograft model [80]. Further mechanistic research identified FBW7 as the E3-ubiquitin ligase for YTHDF2 and identified BMF mRNA as the m6A-modified substrate in OC [80]. Another clue can also be found by looking at an upstream factor of YTHDF2, namely, miR-145, which can hinder the abilities of OC cells to proliferate and migrate [112]. In this study, by analysing the ovarian cancerous tissue (n = 31) and the normal ovarian tissue (n = 14), Li et al. showed that increments of YTHDF2 protein in the ovarian cancerous tissue was closely related to clinical stages [112]. Moreover, functional analyses via CCK8, Transwell and Annexin V-FITC/propidium iodide staining analyses revealed that YTHDF2 conferred the abilities to proliferate and migrate on OC cells (SK-OV-3 and 3AO cells) [112]. Further TargetScan prediction, luciferase reporter, WB and qRT–PCR analyses showed that YTHDF2 may be a direct target of miR-145, whose protumour ability could be rescued by YTHDF2 overexpression in SK-OV-3 and 3AO cells [112]. This crosstalk also occurred in HCC, in which miR-145 can directly target 3′UTR in YTHDF2 mRNA to block YTHDF2 expression [117]. These two studies indicate tumour-promoting effects of YTHDF2 and dissect the upstream signalling in OC, redefining m6A modification as a signalling hub orchestrating several important pathways, such as the ubiquitin–proteasome system and miRNA.
The double-edged sword role of m6A modification in OC
Demethylase knockdown has the same effect as methylase knockdown on m6A modification, and vice versa, which has been confirmed in multiple rescue experiments. As proof of this fact, m6A in transcription factor EB (TFEB) mRNA is balanced by both ALKBH5 and METTL3 [118]. In fact, the same effects on m6A modification have opposite biological functions in lung cancer, breast cancer and AML [21, 119]. Generally, in lung cancer, FTO is elevated to promote proliferation and invasion. Specifically, FTO can erase the m6A in ubiquitin specific peptidase 7 (USP7) and myeloid zinc finger 1 (MZF1) mRNAs, resulting in USP7 and MZF1 overexpression, which function as oncogenes in lung cancer [120, 121]. However, Du et al. reported METTL3 rescued miR-338-5p-mediated growth and invasion of lung cancer cells [122]. Breast cancer also presents this paradox. Through METTL14 overexpression or ALKBH5 knockdown experiments, some researchers have found that increasing global m6A levels impede propagation of human breast cancer cells [123]. Other researchers have discovered that increased global m6A levels were present in breast cancer patients and that METTL3 knockdown enhances apoptosis by hindering m6A modification of the oncogene Bcl-2 and its translation [124]. In AML, demethylases (FTO and ALKBH5) possess the ability to inhibit disease progression in specific situations, so do methyltransferases (METTL3, WTAP and METTL14) [125,126,127,128,129]. These findings reveal the functional inconsistency of m6A modification in different cancers, including lung cancer, breast cancer and AML.
This paradox is also observed during OC progression. Almost all experimental data show METTL3 contributes to OC progression by participating in multiple signalling pathways, including the AKT, EIF3C, AXL, CSF-1 and FZD10 pathways, predicting poor prognosis for OC patients [35,36,37, 76, 83]. Consistent with these discoveries regarding m6A levels, ALKBH5 and FTO were impaired to elevate m6A modification of targeted genes and accelerate tumour progression [77, 78]. In BRCA-mutant OC cells, ALKBH5 and FTO downregulation led to PARPi resistance through stabilization of FZD10 mRNA [78]. In OC stem cells, FTO enhanced cAMP signalling to impede the stemness features of OC via reducing the stability of phosphodiesterase 1C (PDE1C) and phosphodiesterase 4B (PDE4B) mRNA [77]. Contradictory discoveries have revealed that ALKBH5 overexpression endows OC cells with the ability to resist cisplatin and maintain stemness via separate m6A demethylation of JAK2 and NANOG [39, 79]. Altogether these studies further reflect the contradictory roles of m6A modification in OC.
These paradoxes have raised a new question as to why the same m6A modification has opposite biological functions in OC and other cancer types. Considering that m6A readers fulfil the functions of writers and erasers, researchers have surmised that m6A readers may point to opposite functions caused by the same m6A modification, which is supported by the opposite biological functions of the same eraser ALKBH5 in OC. We speculate that downstream signalling cascades also contribute to the ‘double-edged sword’ role of m6A modification in OC. One of the reasons stems from the different targets (JAK2 and FZD10) of the demethylase ALKBH5 reported respectively by Nie et al. and Fukumoto et al. in OC [39, 78]. Although the two studies both focused on drug resistance, the different expressions of ALKBH5 were found by Nie et al. in cisplatin-resistant EOC cells and by Fukumoto et al. in BRCA2-mutated PARPi resistant OC cells, which displayed distinct targets of ALKBH5. Another salient example lies in glioblastoma; METTL3/14 knockdown can promote tumorigenesis for glioblastoma stem cell (GSC) by decreasing m6A modification in the mRNA of the targeted oncogene ADAM metallopeptidase domain 19 (ADAM19) [130]. Paradoxically, it has been reported that METTL3 is essential to GSC maintenance and radioresistance through upregulation of the targeted mRNA of the oncogene SRY-box transcription factor 2 (SOX2) [131]. Although the two studies both focused on GSC phenotype, Cui et al. and Visvanathan et al. both used primary GSCs cultured as 3D tumourspheres but from different patients, which directed METTL3 to different targets and opposite roles in glioblastoma. These two paired studies demonstrate that apparent paradoxical roles of m6A signaling may finally converge on the targets of m6A modification in OC. Another issue that sheds light on the ‘double-edged sword’ role of m6A during OC progression refers to context-dependent functions of downstream signalling, such as autophagy. Autophagy is a catabolic process in which the endoplasmic reticulum forms a double membrane, creating a phagophore to engulf cellular cargo that subsequently fuses with a lysosome to produce an autolysosome, finally resulting in degradation of the cargo [107]. Several researchers have reviewed the pleiotropic functions of autophagy and identified autophagy as a ‘Janus-faced’ player in cancer development [132], which may partially dictate paradoxical roles of m6A modification during OC progression.
In conclusion, as shown by present evidence, m6A modification exerts opposite functions during OC progression, which relies on contradictory effects from two aspects: m6A regulators and their downstream signalling cascades.
Opportunities for application of m6A modification in OC
Among myriads of distinct epigenetic modifications, m6A modification is the most prevalent and has the potential to solve the clinical problems related to OC treatment. One application of m6A modification is early detection and prognosis prediction in OC patients. Another application of m6A modification is to develop m6A-targeted therapeutics for OC patients.
Early detection and prognosis prediction in OC patients
Multiomics studies and bioinformatics analyses of OC have explored the landscape features and prognostic values of m6A regulators. By integrating multiple databases, including GEO, TIMER, ROC Plotter and Kmplot, a study by Wang indicated that HNRNPC could predict relapse for patients with paclitaxel treatment; decreased YTHDC1 and increased RBM15 expression could predict metastasis; and RBM15B, ZC3H13, YTHDF1 and IGF2BP1 were closely associated with the immunological characteristics of OC patients [133]. Fan et al. underscored the important role of a three-gene signature (IGF2BP1, VIRMA and ZC3H13) for prognosis prediction [134]. Another four-gene signature reported by Wei et al. included HNRNPA2B1, which played an antitumour role [135]. Despite its good performance for prognosis prediction in both the training set and test set, the same author previously reported that HNRNPA2B1 played a protumour role in OC [136]. This paradox is explained not only by the dual role of m6A regulators but also by the inconsistency between protein and mRNA levels, which was also confirmed by Fan et al. [134]. In the study reported by Fan et al., compared with the normal tissue, the mRNA as well as protein expression level of ZC3H13 upregulated in the cancerous tissue, whereas the protein levels of IGF2BP1 and VIRMA differed from their mRNA levels [134]. In a word, there is an urgent need to conduct much more experiments to apply m6A modification to early detection or prognosis prediction.
Taking the current experimental evidence into consideration, METTL3 may be a proper marker for early detection and prognosis prediction in OC patients. However, there is limited clinical evidence showing correlations between different histotypes of OC tissues and METTL3 expression. How METTL3 expression compares with CA-125 concentration, which is currently the tumour marker widely used for early detection and prognosis prediction for OC patients, is still unknown.
Possible strategies to target m6A modification in OC
Despite the clinical success of inhibitors of DNA epigenetics, including methyltransferases, to date, there are no approved drugs to target m6A RNA modification.
Early studies on m6A regulator-based targeting strategies mainly focused on demethylases. ALKBH5 and FTO exert their function via interacting with their cofactors and substrates, which are blocked by most reported inhibitors of FTO or ALKBH5 (such as rhein, CHTB, N-CDPCB, FB23-2, CS1/2, meclofenamic acid and entacapone) [137]. By screening studies of approved drugs, Huang et al. and Peng et al. separately identified meclofenamic acid (a nonsteroidal anti-inflammatory drug) and entacapone (combines with levodopa to treat Parkinson) as originally discovered inhibitors of FTO [138, 139]. FB23-2, a derivative of meclofenamic acid, was further demonstrated to suppress the propagation of human AML in vitro as well as in vivo [140]. Peng et al. revealed that one target of FTO in gluconeogenesis and thermogenesis was the transcription factor forkhead box protein O1 (FOXO1) mRNA, which participated in BCR-ABL1-independent imatinib relapse [141]. Meclofenamic acid and entacapone separately entered clinical trials for recurrent metastasis (NCT02429570) and gastrointestinal stromal tumours combined with imatinib (NCT04006769), highlighting the possibility of targeting m6A regulators for advanced or relapsed cancer [137]. Radicicol inhibits FTO in a dose-dependent manner (IC50 = 16.04 μM in enzymatic assays), which could enhance TRAIL-induced apoptosis in OC cells [142, 143]. Although these results hint at the possibility that radicicol may have antitumour effects in OC cells under specific conditions, inhibitors of m6A methyltransferases and demethylases have not been studied in OC and deserve in-depth research.
There are also several studies contributing to targeting of METTL3, and inhibitors of other writers are extremely rare. Through virtual screenings, Selberg et al. first identified four compounds that activated the METTL3-14-WTAP complex and led to the greatest increase in m6A level (21.4 ± 12.9%) in cellular assays [144]. Using a cofactor mimicking approach, Bedi et al. also discovered 7 potential inhibitors of METTL3 in silico [145]. Compound 2 was considered to be the most potential, with IC50 = 8.7 μM in enzymatic assays [145]. No cellular data were obtained in Bedi’s work. To date, there are two different selective small molecule inhibitors of METTL3, namely, STM2457 and UZH1a, which were independently reported by Yankova et al. and Moroz-Omori et al. [146, 147]. When binding with METTL3, the two inhibitors both occupy the SAM-binding site and reorganize Lys 513 of METTL3, which partly contributes to their selectivity. Consistently, SAM and sinefungin, pan inhibitors of methyltransferases, do not possess a specific binding mode [148]. Although the activity of STM2457 and UZH1a in OC is still unknown, both STM2457 and UZH1a could dampen the activity of METTL3 in the AML cell line MOLM-13 [146, 147]. Moreover, the propagation of several AML cell lines from human or mouse was blocked by STM2457 [146]. The efficacy of STM2457 was evaluated in a PDX model as well as a primary murine model, both of which carried different cancer drivers in vivo [146]. STM2457 displayed promising antileukaemic effects due to impaired AML propagation, diminishment of stem cells and improved survival with STM2457 treatment. Similar to AML, recent studies have also identified METTL3 as an oncogene in OC, providing important insights for exploration of METTL3 inhibitors in OC, which deserves further investigations.
To develop m6A regulator-based inhibitors for OC, researchers may consider the important question of which targeting technology is applicable. Considering that m6A-based RNA methyltransferases and demethylases may have catalytic-independent roles in OC, especially METTL3, proteolysis targeting chimaera (PROTAC) may be a promising technology to degrade this type of m6A regulator, which is consistent with the advice of Zeng et al. [50]. The first oral PROTAC (NCT03888612 for ARV-110, NCT04072952 for ARV-471) entered phase I clinical trials for prostate and breast cancer treatment separately and displayed promising data, showing good safety and efficacy [149]. The antitumour effects of PROTACs in OC have been established to target PI3K in OVCAR8 cells in vitro as well as in vivo, highlighting the advantages of PROTACs [150]. These data open new possibilities for targeting m6A regulators using the PROTAC technology.
m6A modification ultimately fine tunes the destination of mRNA, shedding light upon targeting mRNA processing as an emerging anticancer strategy, which may ignore the catalytic-independent role of methylases in OC. Alternative splicing is a key step in mRNA processing and participates in tumour invasion, proliferation, metabolism and drug resistance [151,152,153,154,155]. Specifically, in OC, a splice variant of BRCA1 encodes BRCA1-Δ11q, resulting in resistance to PARPis compared with full-length BRCA1 in PDX models, which could be solved by targeting splicing [156]. As previously summarized, m6A-modified JAK2, FZD10 and TRIM29 all contribute to resistance to PARPis and cisplatin. Considering m6A as a signalling to modulate splicing [41, 42, 157], these observations are reminiscent of the question of whether splicing abnormalities exist for these m6A-modified mRNAs or other mRNAs (in addition to BRCA1) in OC [156, 158]. Although several splicing modulators have entered phase I clinical trials for cancer treatments, as reviewed by Desterro (e.g., NCT02841540 and NCT03614728) [159], this question is still important to employ splicing modulating as a strategy to target m6A-modified mRNA in OC. Another strategy targeting mRNA processing is therapeutic oligonucleotides with chemical modifications that possess the ability to inhibit gene expression [160]. To date, four therapeutic oligonucleotides have entered the clinic, mainly approved for non-tumour diseases. Many antitumour oligonucleotides have also been developed and evaluated in clinical trials, including Apatorsen (NCT01454089), AZD9150 (NCT02549651 and NCT01563302), AZD5312 (NCT02144051), MIR155 (NCT02580552), Custirsen (NCT01578655 and NCT01630733) and EZN-4176 (NCT01337518). However, the study of therapeutic oligonucleotides in OC is still deficient. There are also obstacles to applying this technology to OC. For example, which m6A-modified mRNA should be chosen? How can m6A-modified mRNA be specifically targeted. By solving these problems, therapeutic oligonucleotides are likely to become a hot research topic for development of RNA-based therapeutics to treat OC.
Conclusion
In summary, aberrant m6A levels in OC, modulated by m6A regulators, participate in OC progression and predict relapse for OC patients. Considering the insights recently acquired, we can conclude several points: below. First, METTL3 is essential to the methyltransferase complex and acts as a protumour role during OC progression through catalytic-dependent or catalytic-independent pathways. The functions and modes of other methyltransferase complexes in OC remain an enigma. Second, m6A modification regulators have pleiotropic context-dependent functions in OC, indicating contradictory roles of m6A regulators. The mechanisms underlying this apparent paradox need to be further explored and may involve upstream stimuli, downstream signalling cascades, cancer cells and the tumour microenvironment. Last, similar to protein posttranslational modifications, crosstalk exists among m6A modifications and other RNA modification forms, which may partly contribute to the complexity of OC progression.
Collectively, this review not only updates our knowledge of m6A modification in OC, highlighting the important roles of m6A regulators and the underlying mechanisms, but also provides a rationale for development of new diagnostic markers and therapeutic strategies based on m6A modifications and regulators in OC.
Availability of data and materials
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Abbreviations
- 2OG:
-
2-Oxoglutarate
- ADAM19:
-
ADAM metallopeptidase domain 19
- ALKBH5:
-
AlkB homolog 5, RNA demethylase
- AML:
-
Acute myeloid leukaemia
- AXL:
-
AXL receptor tyrosine kinase
- BMF:
-
Bcl2 modifying factor
- CCR4-NOT:
-
Carbon catabolite repression 4-negative on TATA-less deadenylase complex
- CEBPZ:
-
CCAAT enhancer binding protein zeta
- CLIP-seq:
-
Cross-linking immunoprecipitation high-throughput sequencing
- CSCs:
-
Cancer stem cells
- PDE1C:
-
Phosphodiesterase 1C
- EIF3C:
-
Eukaryotic translation initiation factor 3 subunit C
- EMT:
-
Epithelial to mesenchymal transition
- FBW7:
-
F-box and WD repeat domain containing 7
- FMR1:
-
Fragile X mental retardation 1
- FOXO3:
-
Forkhead box O3
- UTR:
-
Untranslated terminal region
- FTE:
-
Fallopian tube epithelium
- FTO:
-
Fat mass and obesity-associated protein
- FZD10:
-
Frizzled class receptor 10
- HNRNP:
-
Heterogeneous nuclear ribonucleoprotein binding protein
- HOXA10:
-
Homeobox A10
- HSPH1:
-
Heat shock protein family H (Hsp110) member 1
- ICC:
-
Intrahepatic cholangiocarcinoma
- IGF2BP2:
-
Insulin like growth factor 2 mRNA binding protein 2
- IHC:
-
Immunohistochemistry
- JAK2:
-
Janus kinase 2
- Kmplot:
-
Kaplan–Meier Plot
- KIAA1429/VIRMA:
-
Vir like m6A methyltransferase associated
- LRPPRC:
-
Leucine rich pentatricopeptide repeat containing
- m6A:
-
N6-methyladenosine
- m6Am:
-
N6,2′-O-dimethyladenosine
- METTL3:
-
Methyltransferase-like 3
- METTL14:
-
Methyltransferase-like 14
- METTL16:
-
Methyltransferase-like 16
- mTOR:
-
Mammalian target of the rapamycin
- MZF1:
-
Myeloid zinc finger 1
- NANOG:
-
Nanog homeobox
- OC:
-
Ovarian cancer
- PARPi:
-
Inhibitors of poly (ADP-ribose) polymerase
- PD-L1:
-
Programmed cell death-1 ligand-1
- PDE4B:
-
Phosphodiesterase 4B
- SRF:
-
Serum response factor
- PROTAC:
-
Proteolysis targeting chimaera
- PI3K:
-
Phosphoinositide 3-kinase
- AKT:
-
AKT serine/threonine kinase 1
- PTEN:
-
Phosphatase and tensin homolog
- qRT-PCR:
-
Real-time quantitative polymerase chain reaction
- RBM15:
-
RNA binding motif protein 15
- RCC:
-
Renal cell carcinoma
- RHPN1-AS1:
-
RHPN1 antisense RNA 1 (head to head)
- RIP:
-
RNA immunoprecipitation
- SAM:
-
S-adenosylmethionine
- SETDB1:
-
SET domain bifurcated histone lysine methyltransferase 1
- SNPs:
-
Single-nucleotide polymorphisms
- SOCSs:
-
Suppressor of cytokine signalling family genes
- SOX2:
-
SRY-box transcription factor 2
- STAT3:
-
Signal transducer and activator of transcription 3
- YTHDC1:
-
YTH domain containing 1
- TFEB:
-
Transcription factor EB
- USP7:
-
Ubiquitin specific peptidase 7
- TRIM29:
-
Tripartite motif containing 29
- WB:
-
Western blot
- WTAP:
-
Wilms tumor 1-associated protein
- YTHDF1:
-
YTH N6-methyladenosine RNA binding protein 1
- ZC3H13:
-
Zinc finger CCCH domain-containing protein 13
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This work was supported by the Science and Technology Research Project of Henan Province (No. 212102311032); the Henan Provincial Medical Science and Technology Project (No. LHGJ20210178).
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Conceiving and designing the manuscript: LC, BH and WZ; literature retrieval: QG and YF; writing of the manuscript: LC, XX, XL, QG and YF; drawing: LC and XL; reviewed and revision: BH and WZ; final approval: LC, XX, XL, QG, YF, BH and WZ. All authors read and approved the final manuscript.
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Chang, LL., Xu, XQ., Liu, XL. et al. Emerging role of m6A methylation modification in ovarian cancer. Cancer Cell Int 21, 663 (2021). https://doi.org/10.1186/s12935-021-02371-3
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DOI: https://doi.org/10.1186/s12935-021-02371-3