The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation
Open accessAbstract
N 6-Methyladenosine (m6A) is the most abundant RNA modification in mammal mRNAs and increasing evidence suggests the key roles of m6A in human tumorigenesis. However, whether m6A, especially its ‘reader’ YTHDF1, targets a gene involving in protein translation and thus affects overall protein production in cancer cells is largely unexplored. Here, using multi-omics analysis for ovarian cancer, we identified a novel mechanism involving EIF3C, a subunit of the protein translation initiation factor EIF3, as the direct target of the YTHDF1. YTHDF1 augments the translation of EIF3C in an m6A-dependent manner by binding to m6A-modified EIF3C mRNA and concomitantly promotes the overall translational output, thereby facilitating tumorigenesis and metastasis of ovarian cancer. YTHDF1 is frequently amplified in ovarian cancer and up-regulation of YTHDF1 is associated with the adverse prognosis of ovarian cancer patients. Furthermore, the protein but not the RNA abundance of EIF3C is increased in ovarian cancer and positively correlates with the protein expression of YTHDF1 in ovarian cancer patients, suggesting modification of EIF3C mRNA is more relevant to its role in cancer. Collectively, we identify the novel YTHDF1-EIF3C axis critical for ovarian cancer progression which can serve as a target to develop therapeutics for cancer 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
RetractedThe cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,925
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
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
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
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation
Liu, J., Yue, Y., Han, D., Wang, X., Fu, Y., Zhang, L., Jia, G., Yu, M., Lu, Z., Deng, X., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1432 · Cited by 3,433
Dynamic RNA Modifications in Gene Expression Regulation
Roundtree, I. A., Evans, M. E., Pan, T., & He, C. (2017) · Cell · doi:10.1016/j.cell.2017.05.045 · Cited by 3,399
Cited by
The role of m6A modification in the biological functions and diseases
Jiang, X., Liu, B., Nie, Z., Duan, L., Xiong, Q., Jin, Z., Yang, C., & Chen, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00450-x · Cited by 2,335
Targeting the Wnt/β-catenin signaling pathway in cancer
Zhang, Y., & Wang, X. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00990-3 · Cited by 1,431
Li, Q., Ni, Y., Zhang, L., Jiang, R., Xu, J., Yang, H., Hu, Y., Qiu, J., Pu, L., Tang, J., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00453-8 · Cited by 380
Wang, Y.-F., Zhang, W.-L., Li, Z.-X., Liu, Y., Tan, J., Yin, H.-Z., Zhang, Z.-C., Piao, X.-J., Ruan, M.-H., Dai, Z.-H., et al. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01797-1 · Cited by 69
Self-citationLi, Z., Teng, M., Jiang, Y., Zhang, L., Luo, X., Liao, Y., & Yang, B. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.857727 · Cited by 39
Metadata
- Authors
- Liu, T., Wei, Q., Jin, J., Luo, Q., Liu, Y., Yang, Y., Cheng, C., Li, L., Pi, J., Si, Y., Xiao, H., Li, L., Rao, S., Wang, F., Yu, J., Yu, J., Zou, D., & Yi, P.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-01-30
- Volume
- 48
- Issue
- 7
- Pages
- 3816-3831
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W3003715948
- Cited by
- 746
- References
- 53
- FWCI
- 33.54
- 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: The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation. https://app.cochat.ai/papers/10.1093/nar/gkaa048
- The paper
- Liu, T., Wei, Q., Jin, J., Luo, Q., Liu, Y., Yang, Y., Cheng, C., Li, L., Pi, J., Si, Y., Xiao, H., Li, L., Rao, S., Wang, F., Yu, J., Yu, J., Zou, D., & Yi, P. (2020). The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation. Nucleic Acids Research. https://doi.org/10.1093/nar/gkaa048
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.