The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
RNA N6-methyladenosine modification in cancers: current status and perspectives
Open accessAbstract
N 6 -methyladenosine (m 6 A), the most abundant internal modification in eukaryotic messenger RNAs (mRNAs), has been shown to play critical roles in various normal bioprocesses such as tissue development, stem cell self-renewal and differentiation, heat shock or DNA damage response, and maternal-to-zygotic transition. The m 6 A modification is deposited by the m 6 A methyltransferase complex (MTC; i.e., writer) composed of METTL3, METTL14 and WTAP, and probably also VIRMA and RBM15, and can be removed by m 6 A demethylases (i.e., erasers) such as FTO and ALKBH5. The fates of m 6 A-modified mRNAs rely on the functions of distinct proteins that recognize them (i.e., readers), which may affect the stability, splicing, and/or translation of target mRNAs. Given the functional importance of the m 6 A modification machinery in normal bioprocesses, it is not surprising that evidence is emerging that dysregulation of m 6 A modification and the associated proteins also contributes to the initiation, progression, and drug response of cancers. In this review, we focus on recent advances in the study of biological functions and the underlying molecular mechanisms of dysregulated m 6 A modification and the associated machinery in the pathogenesis and drug response of various types of cancers. In addition, we also discuss possible therapeutic interventions against the dysregulated m 6 A machinery to treat cancers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
N6-methyladenosine-dependent regulation of messenger RNA stability
Wang, X., Lu, Z., Gomez, A., Hon, G. C., Yue, Y., Han, D., Fu, Y., Parisien, M., Dai, Q., Jia, G., et al. (2014) · Nature · doi:10.1038/nature12730 · Cited by 4,558
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106
ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility
Zheng, G., Dahl, J. A., Niu, Y., Fedorcsak, P., Huang, C.-M., Li, C. J., Vågbø, C. B., Shi, Y., Wang, W.-L., Song, S.-H., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.015 · Cited by 3,550
N6-methyladenosine Modulates Messenger RNA Translation Efficiency
Wang, X., Zhao, B. S., Roundtree, I. A., Lu, Z., Han, D., Ma, H., Weng, X., Chen, K., Shi, H., & He, C. (2015) · Cell · doi:10.1016/j.cell.2015.05.014 · Cited by 3,483
Recognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation
Huang, H., Weng, H., Sun, W., Qin, X., Shi, H., Wu, H., Zhao, B. S., Mesquita, A., Liu, C., Yuan, C. L., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0045-z · Cited by 2,997
Self-citationXu, W., Yang, H., Liu, Y., Yang, Y., Wang, P., Kim, S.-H., Ito, S., Yang, C., Wang, P., Xiao, M.-T., et al. (2011) · Cancer Cell · doi:10.1016/j.ccr.2010.12.014 · Cited by 2,875
Figueroa, M. E., Abdel-Wahab, O., Lu, C., Ward, P. S., Patel, J., Shih, A., Li, Y., Bhagwat, N., Vasanthakumar, A., Fernandez, H. F., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.11.015 · Cited by 2,766
Nuclear m6A Reader YTHDC1 Regulates mRNA Splicing
Xiao, W., Adhikari, S., Dahal, U., Chen, Y.-S., Hao, Y.-J., Sun, B.-F., Sun, H.-Y., Li, A., Ping, X.-L., Lai, W.-Y., et al. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.01.012 · Cited by 2,054
IDH mutation impairs histone demethylation and results in a block to cell differentiation
Lu, C., Ward, P. S., Kapoor, G. S., Rohle, D., Turcan, S., Abdel-Wahab, O., Edwards, C. R., Khanin, R., Figueroa, M. E., Melnick, A., et al. (2012) · Nature · doi:10.1038/nature10860 · Cited by 1,985
Cited by
Chang, G., Shi, L., Ye, Y., Shi, H., Zeng, L., Tiwary, S., Huse, J. T., Huo, L., Ma, L., Ma, Y., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.10.004 · Cited by 412
RNA modifications regulating cell fate in cancer
Delaunay, S., & Frye, M. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0319-0 · Cited by 365
Weng, H., Huang, F., Yu, Z., Chen, Z., Prince, E., Kang, Y., Zhou, K., Li, W., Hu, J., Fu, C., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.004 · Cited by 336
Self-citationCrosstalk between epitranscriptomic and epigenetic mechanisms in gene regulation
Kan, R. L., Chen, J., & Sallam, T. (2022) · Trends in Genetics · doi:10.1016/j.tig.2021.06.014 · Cited by 308
Self-citationN6-Methyladenosine Modification of ANLN Enhances Hepatocellular Carcinoma Bone Metastasis
Zheng, H., Cheng, Z.-J., Liang, B., Wang, Z.-G., Tao, Y.-P., Huang, S.-Y., Ni, J.-S., Li, H.-F., Yang, L., Yuan, S.-X., et al. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.73570 · Cited by 33
Metadata
- Authors
- Deng, X., Su, R., Weng, H., Huang, H., Li, Z., & Chen, J.
- Venue
- Cell Research
- Published
- 2018-04-23
- Volume
- 28
- Issue
- 5
- Pages
- 507-517
- ISSN
- 1001-0602 (ISSN-L)
- 1748-7838
- OpenAlex
- W2800471491
- Cited by
- 845
- References
- 21
- FWCI
- 25.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: RNA N6-methyladenosine modification in cancers: current status and perspectives. https://app.cochat.ai/papers/10.1038/s41422-018-0034-6
- The paper
- Deng, X., Su, R., Weng, H., Huang, H., Li, Z., & Chen, J. (2018). RNA N6-methyladenosine modification in cancers: current status and perspectives. Cell Research. https://doi.org/10.1038/s41422-018-0034-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.