The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Noncoding Regulatory RNAs Network Driven by Circ‐CDYL Acts Specifically in the Early Stages Hepatocellular Carcinoma
Abstract
Hepatocellular carcinoma (HCC) is one of the fastest‐rising causes of cancer‐related death worldwide, but its deficiency of specific biomarkers and therapeutic targets in the early stages lead to severe inadequacy in the early diagnosis and treatment of HCC. Covalently closed circular RNA (circRNA), which was once considered an aberrant splicing by‐product, is now drawing new interest in cancer research because of its remarkable functionality. Beneath the surface of the dominant functional proteins events, a hidden circRNA‐centric noncoding regulatory RNAs network active in the very early stage of HCC is here revealed by a genome‐wide analysis of mRNA, circRNA, and microRNA (miRNA) expression profiles. Circ‐CDYL (chromodomain Y like) is specifically up‐regulated in the early stages of HCC and therefore contributes to the properties of epithelial cell adhesion molecule (EPCAM)‐positive liver tumor‐initiating cells. Circ‐CDYL interacts with mRNAs encoding hepatoma‐derived growth factor (HDGF) and hypoxia‐inducible factor asparagine hydroxylase (HIF1AN) by acting as the sponge of miR‐892a and miR‐328‐3p, respectively. Subsequently, activation of the phosphoinositide 3‐kinase (PI3K)‐AKT serine/threonine kinase‐mechanistic target of rapamycin kinase complex 1/β‐catenin and NOTCH2 pathways, which promote the expression of the effect proteins, baculoviral IAP repeat containing 5 (BIRC5 or SURVIVIN) and MYC proto‐oncogene, is influenced by circ‐CDYL. A treatment incorporating circ‐CDYL interference and traditional enzyme inhibitors targeting PI3K and HIF1AN demonstrated highly effective inhibition of stem‐like characteristics and tumor growth in HCC. Finally, we demonstrated that circ‐CDYL expression or which combined with HDGF and HIF1AN are both independent markers for discrimination of early stages of HCC with the odds ratios of 1.09 (95% confidence interval [CI], 1.02‐1.17) and 124.58 (95% CI, 13.26‐1170.56), respectively. Conclusion: These findings uncover a circRNA‐centric noncoding regulatory RNAs network in the early stages of HCC and thus provide a possibility for surveillance and early treatment of HCC.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
The multilayered complexity of ceRNA crosstalk and competition
Tay, Y., Rinn, J., & Pandolfi, P. P. (2014) · Nature · doi:10.1038/nature12986 · Cited by 3,910
Electron microscopic evidence for the circular form of RNA in the cytoplasm of eukaryotic cells
HSU, M.-T., & COCA-PRADOS, M. (1979) · Nature · doi:10.1038/280339a0 · Cited by 1,021
Khan, M. N., Bhattacharyya, T., Andrikopoulos, P., Esteban, M. A., Barod, R., Connor, T., Ashcroft, M., Maxwell, P. H., & Kiriakidis, S. (2011) · British Journal of Cancer · doi:10.1038/bjc.2011.73 · Cited by 40
Cited by
Yan, H., & Bu, P. (2021) · Essays in Biochemistry · doi:10.1042/ebc20200032 · Cited by 667
Specific expression and functions of circular RNAs
Misir, S., Wu, N., & Yang, B. B. (2022) · Cell Death & Differentiation · doi:10.1038/s41418-022-00948-7 · Cited by 469
Zuo, X., Chen, Z., Gao, W., Zhang, Y., Wang, J., Wang, J., Cao, M., Cai, J., Wu, J., & Wang, X. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0839-x · Cited by 447
Epigenetics in hepatocellular carcinoma
Nagaraju, G. P., Dariya, B., Kasa, P., Peela, S., & El-Rayes, B. F. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.07.017 · Cited by 339
Crosstalk between circRNAs and the PI3K/AKT signaling pathway in cancer progression
Xue, C., Li, G., Lu, J., & Li, L. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00788-w · Cited by 268
Self-citation
Metadata
- Authors
- Wei, Y., Chen, X., Liang, C., Ling, Y., Yang, X., Ye, X., Zhang, H., Yang, P., Cui, X., Ren, Y., Xin, X., Li, H., Wang, R., Wang, W., Jiang, F., Liu, S., Ding, J., Zhang, B., Li, L., & Wang, H.
- Venue
- Hepatology
- Published
- 2019-08-11
- Volume
- 71
- Issue
- 1
- Pages
- 130-147
- ISSN
- 0270-9139 (ISSN-L)
- 1527-3350
- OpenAlex
- W2947708096
- Cited by
- 244
- References
- 7
- FWCI
- 12.10
- Type
- journal article
- Language
- en
- Open access
- closed
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: A Noncoding Regulatory RNAs Network Driven by Circ‐CDYL Acts Specifically in the Early Stages Hepatocellular Carcinoma. https://app.cochat.ai/papers/10.1002/hep.30795
- The paper
- Wei, Y., Chen, X., Liang, C., Ling, Y., Yang, X., Ye, X., Zhang, H., Yang, P., Cui, X., Ren, Y., Xin, X., Li, H., Wang, R., Wang, W., Jiang, F., Liu, S., Ding, J., Zhang, B., Li, L., & Wang, H. (2020). A Noncoding Regulatory RNAs Network Driven by Circ‐CDYL Acts Specifically in the Early Stages Hepatocellular Carcinoma. Hepatology. https://doi.org/10.1002/hep.30795
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.