The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
N6-methyladenosine METTL3 promotes cervical cancer tumorigenesis and Warburg effect through YTHDF1/HK2 modification
Open accessAbstract
N6-methyladenosine (m 6 A) serves as the most common and conserved internal transcriptional modification. However, the roles of m 6 A on cervical cancer (CC) tumorigenesis are still unclear. Here, results indicated that METTL3 was significantly upregulated in CC tissue and cells, which was closely correlated with the lymph node metastasis and poor prognosis of CC patients. MeRIP-Seq analysis revealed the m 6 A profiles in CC cells. Functionally, METTL3 promoted the proliferation and Warburg effect (aerobic glycolysis) of CC cells. Mechanistically, METTL3 targeted the 3’-Untranslated Region (3’-UTR) of hexokinase 2 (HK2) mRNA. Moreover, METTL3 recruited YTHDF1, a m 6 A reader, to enhance HK2 stability. These findings demonstrated that METTL3 enhanced the HK2 stability through YTHDF1-mediated m 6 A modification, thereby promoting the Warburg effect of CC, which might promote a novel insight for the CC treatment.
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
1 retracted
Lin, X., Chai, G., Wu, Y., Li, J., Chen, F., Liu, J., Luo, G., Tauler, J., Du, J., Lin, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09865-9 · Cited by 510
Self-citationRetractedUnderstanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
The role of m6A RNA methylation in human cancer
Chen, X.-Y., Zhang, J., & Zhu, J.-S. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1033-z · Cited by 884
Wang, Q., Chen, C., Ding, Q., Zhao, Y., Wang, Z., Chen, J., Jiang, Z., Zhang, Y., Xu, G., Zhang, J., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319639 · Cited by 862
Self-citationMETTL3 facilitates tumor progression via an m6A-IGF2BP2-dependent mechanism in colorectal carcinoma
Li, T., Hu, P.-S., Zuo, Z., Lin, J.-F., Li, X., Wu, Q.-N., Chen, Z.-H., Zeng, Z.-L., Wang, F., Zheng, J., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1038-7 · Cited by 799
The Critical Role of RNA m6A Methylation in Cancer
Lan, Q., Liu, P. Y., Haase, J., Bell, J. L., Hüttelmaier, S., & Liu, T. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-2965 · Cited by 720
RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3
Niu, Y., Lin, Z., Wan, A., Chen, H., Liang, H., Sun, L., Wang, Y., Li, X., Xiong, X.-F., Wei, B., et al. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1004-4 · Cited by 593
Ni, W., Yao, S., Zhou, Y., Liu, Y., Huang, P., Zhou, A., Liu, J., Che, L., & Li, J. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1079-y · Cited by 589
Self-citationSocial determinants of breast cancer risk, stage, and survival
Coughlin, S. S. (2019) · Breast Cancer Research and Treatment · doi:10.1007/s10549-019-05340-7 · Cited by 555
Zhou, C., Molinie, B., Daneshvar, K., Pondick, J. V., Wang, J., Van Wittenberghe, N., Xing, Y., Giallourakis, C. C., & Mullen, A. C. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.08.027 · Cited by 428
Cited by
The role of m6A RNA methylation in cancer metabolism
An, Y., & Duan, H. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01500-4 · Cited by 871
Reading the m6A-encoded epitranscriptomic information in development and diseases
Chen, Y., Zhou, Z., Chen, Y., & Chen, D. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01293-7 · Cited by 24
Metadata
- Authors
- Wang, Q., Guo, X., Li, L., Gao, Z., Su, X., Ji, M., & Liu, J.
- Venue
- Cell Death & Disease
- Published
- 2020-10-24
- Volume
- 11
- Issue
- 10
- Pages
- 911-911
- ISSN
- 2041-4889 (ISSN-L)
- OpenAlex
- W3093757759
- Cited by
- 308
- References
- 29
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- gold
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: N6-methyladenosine METTL3 promotes cervical cancer tumorigenesis and Warburg effect through YTHDF1/HK2 modification. https://app.cochat.ai/papers/10.1038/s41419-020-03071-y
- The paper
- Wang, Q., Guo, X., Li, L., Gao, Z., Su, X., Ji, M., & Liu, J. (2020). N6-methyladenosine METTL3 promotes cervical cancer tumorigenesis and Warburg effect through YTHDF1/HK2 modification. Cell Death & Disease. https://doi.org/10.1038/s41419-020-03071-y
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.