The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
The role of m6A RNA methylation in cancer metabolism
Open accessAbstract
Metabolic reprogramming is one of the main characteristics of malignant tumors, which is due to the flexible changes of cell metabolism that can meet the needs of cell growth and maintain the homeostasis of tissue environments. Cancer cells can obtain metabolic adaptation through a variety of endogenous and exogenous signaling pathways, which can not only promote the growth of malignant cancer cells, but also start the transformation process of cells to adapt to tumor microenvironment. Studies show that m6A RNA methylation is widely involved in the metabolic recombination of tumor cells. In eukaryotes, m6A methylation is the most abundant modification in mRNA, which is involved in almost all the RNA cycle stages, including regulation the transcription, maturation, translation, degradation and stability of mRNA. M6A RNA methylation can be involved in the regulation of physiological and pathological processes, including cancer. In this review, we discuss the role of m6A RNA methylation modification plays in tumor metabolism-related molecules and pathways, aiming to show the importance of targeting m6A in regulating tumor metabolism.
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6 retracted
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“In order to survive and adapt to these severe environmental pressures, cancer cells change their metabolic pathways to capture external metabolites and maximize the efficiency of metabolic enzymes [12].”
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Cited by
Emerging epigenetic modifications in renal fibrosis: From mechanisms to treatments
Suo, X., Ge, Q., Peng, L., Zhu, Q., Zhang, M., Cheng, X., Wang, F., Jin, J., Wang, J., & Meng, X. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.09.012 · Cited by 8
Metadata
- Authors
- An, Y., & Duan, H.
- Venue
- Molecular Cancer
- Published
- 2022-01-12
- Volume
- 21
- Issue
- 1
- Pages
- 14-14
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W4206368060
- Cited by
- 871
- References
- 159
- FWCI
- 49.86
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
